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Khatana SAM, Eberly LA, Nathan AS, Groeneveld PW. Projected Change in the Burden of Excess Cardiovascular Deaths Associated With Extreme Heat by Midcentury (2036-2065) in the Contiguous United States. Circulation 2023; 148:1559-1569. [PMID: 37901952 PMCID: PMC10840949 DOI: 10.1161/circulationaha.123.066017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 08/29/2023] [Indexed: 10/31/2023]
Abstract
BACKGROUND Climate change is causing an increase in extreme heat. Individuals with cardiovascular disease are at high risk of heat-related adverse health effects. How the burden of extreme heat-associated cardiovascular deaths in the United States will change with the projected rise in extreme heat is unknown. METHODS We obtained data on cardiovascular deaths among adults and the number of extreme heat days (maximum heat index ≥90 °F [32.2 °C]) in each county in the contiguous United States from 2008 to 2019. Based on representative concentration pathway trajectories that model greenhouse gas emissions and shared socioeconomic pathways (SSP) that model future socioeconomic scenarios and demographic projections, we obtained county-level projected numbers of extreme heat days and populations under 2 scenarios for the midcentury period 2036 to 2065: SSP2-4.5 (representing demographic projections from a "middle-of-the-road" socioeconomic scenario and an intermediate increase in emissions) and SSP5-8.5 (demographic projections in an economy based on "fossil-fueled development" and a large increase in emissions). The association of cardiovascular mortality with extreme heat was estimated with a Poisson fixed-effects model. Using estimates from this model, the projected number of excess cardiovascular deaths associated with extreme heat was calculated. RESULTS Extreme heat was associated with 1651 (95% CI, 921-2381) excess cardiovascular deaths per year from 2008 to 2019. By midcentury, extreme heat is projected to be associated with 4320 (95% CI, 2369-6272) excess deaths annually, which is an increase of 162% (95% CI, 142-182) under SSP2-4.5, and 5491 (95% CI, 3011-7972) annual excess deaths, which is an increase of 233% (95% CI, 206-259) under SSP5-8.5. Elderly adults are projected to have a 3.5 (95% CI, 3.2-3.8) times greater increase in deaths in the SSP2-4.5 scenario compared with nonelderly adults. Non-Hispanic Black adults are projected to have a 4.6 (95% CI, 2.8-6.4) times greater increase compared with non-Hispanic White adults. The projected change in deaths was not statistically significantly different for other race and ethnicity groups or between men and women. CONCLUSIONS By midcentury, extreme heat is projected to be associated with a significantly greater burden of excess cardiovascular deaths in the contiguous United States.
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Affiliation(s)
- Sameed Ahmed M. Khatana
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Lauren A. Eberly
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Ashwin S. Nathan
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Peter W. Groeneveld
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Center for Health Equity Research and Promotion, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
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Khatana SAM, Yang L, Eberly LA, Nathan AS, Gupta R, Lorch SA, Groeneveld PW. Medicaid Expansion And Outpatient Cardiovascular Care Use Among Low-Income Nonelderly Adults, 2012-15. Health Aff (Millwood) 2023; 42:1586-1594. [PMID: 37931196 PMCID: PMC10923246 DOI: 10.1377/hlthaff.2023.00512] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2023]
Abstract
Adults with lower socioeconomic status have a disproportionately higher burden of cardiovascular disease. Medicaid expansion under the Affordable Care Act, which went into effect January 1, 2014, in adopting states, led to an expansion of health insurance coverage for low-income adults. To understand whether Medicaid expansion was associated with increased access to outpatient cardiovascular care in expansion states, we examined Medicaid Analytic eXtract administrative claims data for nonelderly adult beneficiaries from the period 2012-15 for two states that expanded Medicaid eligibility (New Jersey and Minnesota) and two states that did not (Georgia and Tennessee) and calculated population-level rates of cardiovascular care use. There was a 38.1 percent greater increase in expansion states in the rate of beneficiaries with outpatient visits for cardiovascular disease management associated with Medicaid expansion relative to nonexpansion states. This was accompanied by a 42.9 percent greater increase in the prescription rate for cardiovascular disease management agents. These results suggest that expansion of Medicaid eligibility was associated with an increase in cardiovascular care use among low-income nonelderly adults in expansion states.
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Affiliation(s)
- Sameed Ahmed M Khatana
- Sameed Ahmed M. Khatana , University of Pennsylvania and Corporal Michael J. Crescenz Veterans Affairs (VA) Medical Center, Philadelphia, Pennsylvania
| | - Lin Yang
- Lin Yang, University of Pennsylvania
| | | | | | - Ravi Gupta
- Ravi Gupta, Johns Hopkins University, Baltimore, Maryland
| | - Scott A Lorch
- Scott A. Lorch, University of Pennsylvania and Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Peter W Groeneveld
- Peter W. Groeneveld, University of Pennsylvania and Corporal Michael J. Crescenz VA Medical Center
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Gupta R, Yang L, Lewey J, Navathe AS, Groeneveld PW, Khatana SAM. Association of High-Deductible Health Plans With Health Care Use and Costs for Patients With Cardiovascular Disease. J Am Heart Assoc 2023; 12:e030730. [PMID: 37750565 PMCID: PMC10727247 DOI: 10.1161/jaha.123.030730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 08/23/2023] [Indexed: 09/27/2023]
Abstract
Background By increasing cost sharing, high-deductible health plans (HDHPs) aim to reduce low-value health care use. The association of HDHPs with health care use and costs in patients with chronic cardiovascular disease is unknown. Methods and Results This longitudinal cohort study analyzed 57 690 privately insured patients, aged 18 to 64 years, from a large commercial claims database with chronic cardiovascular disease from 2011 to 2019. Health care entities in which all or most beneficiaries switched from being in a traditional plan to an HDHP were identified. A difference-in-differences design was used to account for differences between individuals who remained in traditional plans and those who switched to HDHPs and to assess changes in health care use and costs. Among the 934 individuals in the HDHP group and the 56 756 in the traditional plan group, switching to an HDHP was not associated with statistically significant changes in annual outpatient visits, hospitalizations, or emergency department visits (-8.3% [95% CI, -16.8 to 1.1], -28.5% [95% CI, -62.1 to 34.6], and 11.2% [95% CI, -20.9 to 56.5], respectively). Switching to an HDHP was associated with an increase of $921 (95% CI, $743-$1099) in out-of-pocket costs but no statistically significant difference in total health care costs. Conclusions Among commercially insured patients with chronic cardiovascular disease, switching to an HDHP was not associated with a change in health care use but was associated with an increase in out-of-pocket costs. Although health care use by individuals with chronic cardiovascular disease may not be sensitive to higher cost sharing associated with HDHP enrollment, there may be a significant increase in patients' financial burden.
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Affiliation(s)
- Ravi Gupta
- Division of General Internal MedicineJohns Hopkins University School of MedicineBaltimoreMD
- Department of Health Policy and ManagementJohns Hopkins Bloomberg School of Public HealthBaltimoreMD
- Hopkins Business of Health Initiative, Johns Hopkins UniversityBaltimoreMD
| | - Lin Yang
- Leonard Davis Institute of Health Economics, University of PennsylvaniaPhiladelphiaPA
- Center for Cardiovascular Outcomes, Quality and Evaluative Research CenterUniversity of PennsylvaniaPhiladelphiaPA
| | - Jennifer Lewey
- Leonard Davis Institute of Health Economics, University of PennsylvaniaPhiladelphiaPA
- Center for Cardiovascular Outcomes, Quality and Evaluative Research CenterUniversity of PennsylvaniaPhiladelphiaPA
- Division of Cardiovascular Medicine, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA
| | - Amol S. Navathe
- Leonard Davis Institute of Health Economics, University of PennsylvaniaPhiladelphiaPA
- Division of General Internal Medicine, Perelman School of MedicineUniversity of PennsylvaniaPAPhiladelphia
- Corporal Michael J. Crescenz Veterans Affairs Medical CenterPAPhiladelphia
- Department of Medical Ethics and Health Policy, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA
| | - Peter W. Groeneveld
- Leonard Davis Institute of Health Economics, University of PennsylvaniaPhiladelphiaPA
- Center for Cardiovascular Outcomes, Quality and Evaluative Research CenterUniversity of PennsylvaniaPhiladelphiaPA
- Division of General Internal Medicine, Perelman School of MedicineUniversity of PennsylvaniaPAPhiladelphia
- Corporal Michael J. Crescenz Veterans Affairs Medical CenterPAPhiladelphia
| | - Sameed Ahmed M. Khatana
- Leonard Davis Institute of Health Economics, University of PennsylvaniaPhiladelphiaPA
- Center for Cardiovascular Outcomes, Quality and Evaluative Research CenterUniversity of PennsylvaniaPhiladelphiaPA
- Division of Cardiovascular Medicine, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPA
- Corporal Michael J. Crescenz Veterans Affairs Medical CenterPAPhiladelphia
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Reddy KP, Eberly LA, Julien HM, Giri J, Fanaroff AC, Groeneveld PW, Khatana SAM, Nathan AS. Association between racial residential segregation and Black-White disparities in cardiovascular disease mortality. Am Heart J 2023; 264:143-152. [PMID: 37364747 PMCID: PMC10923556 DOI: 10.1016/j.ahj.2023.06.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 06/08/2023] [Accepted: 06/21/2023] [Indexed: 06/28/2023]
Abstract
BACKGROUND Racial residential segregation is associated with racial health inequities, but it is unclear if segregation may exacerbate Black-White disparities in cardiovascular disease (CVD) mortality. This study aimed to assess associations between Black-White residential segregation, CVD mortality rates among non-Hispanic (NH) Black and NH White populations, and Black-White disparities in CVD mortality. METHODS This cross-sectional study analyzed Black-White residential segregation, as measured by county-level interaction index, of US counties, county-level CVD mortality among NH White and NH black adults aged 25 years and older, and county-level Black-White disparities in CVD mortality in years 2014 to 2017. Age-adjusted, county-level NH Black CVD mortality rates and NH White cardiovascular disease mortality rates, as well as group-level relative risk ratios for Black-White cardiovascular disease mortality, were calculated. Sequential generalized linear models adjusted for county-level socioeconomic and neighborhood factors were used to estimate associations between residential segregation and cardiovascular mortality rates among NH Black and NH White populations. Relative risk ratio tests were used to compare Black-White disparities in the most segregated counties to disparities in the least segregated counties. RESULTS We included 1,286 counties with ≥5% Black populations in the main analysis. Among adults aged ≥25 years, there were 2,611,560 and 408,429 CVD deaths among NH White and NH Black individuals, respectively. In the unadjusted model, counties in the highest tertile of segregation had 9% higher (95% CI, 1%-20% higher, P = .04) rates of NH Black CVD mortality than counties in the lowest tertile of segregation. In the multivariable adjusted model, the most segregated counties had 15% higher (95% CI, 0.5% to 38% higher, P = .04) rates of NH Black CVD mortality than the least segregated counties. In the most segregated counties, NH Black individuals were 33% more likely to die of CVD than NH White individuals (RR 1.33, 95% CI 1.32 to 1.33, P < .001). CONCLUSIONS Counties with increased Black-White residential segregation have higher rates of NH Black CVD mortality and larger Black-White disparities in CVD mortality. Identifying the causal mechanisms through which racial residential segregation widens disparities in CVD mortality requires further study.
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Affiliation(s)
- Kriyana P Reddy
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA.
| | - Lauren A Eberly
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Penn Cardiovascular Center for Health Equity and Justice, Philadelphia, PA
| | - Howard M Julien
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Penn Cardiovascular Center for Health Equity and Justice, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Jay Giri
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Alexander C Fanaroff
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA
| | - Peter W Groeneveld
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA; Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Sameed Ahmed M Khatana
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Ashwin S Nathan
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA; Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
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Eberly LA, Shultz K, Merino M, Brueckner MY, Benally E, Tennison A, Biggs S, Hardie L, Tian Y, Nathan AS, Khatana SAM, Shea JA, Lewis E, Bukhman G, Shin S, Groeneveld PW. Cardiovascular Disease Burden and Outcomes Among American Indian and Alaska Native Medicare Beneficiaries. JAMA Netw Open 2023; 6:e2334923. [PMID: 37738051 PMCID: PMC10517375 DOI: 10.1001/jamanetworkopen.2023.34923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 07/17/2023] [Indexed: 09/23/2023] Open
Abstract
Importance American Indian and Alaska Native persons face significant health disparities; however, data regarding the burden of cardiovascular disease in the current era is limited. Objective To determine the incidence and prevalence of cardiovascular disease, the burden of comorbid conditions, including cardiovascular disease risk factors, and associated mortality among American Indian and Alaska Native patients with Medicare insurance. Design, Setting, and Participants This was a population-based cohort study conducted from January 2015 to December 2019 using Medicare administrative data. Participants included American Indian and Alaska Native Medicare beneficiaries 65 years and older enrolled in both Medicare part A and B fee-for-service Medicare. Statistical analyses were performed from November 2022 to April 2023. Main Outcomes and Measures The annual incidence, prevalence, and mortality associated with coronary artery disease (CAD), heart failure (HF), atrial fibrillation/flutter (AF), and cerebrovascular disease (stroke or transient ischemic attack [TIA]). Results Among 220 598 American Indian and Alaska Native Medicare beneficiaries, the median (IQR) age was 72.5 (68.5-79.0) years, 127 402 were female (57.8%), 78 438 (38.8%) came from communities in the most economically distressed quintile in the Distressed Communities Index. In the cohort, 44.8% of patients (98 833) were diagnosed with diabetes, 61.3% (135 124) were diagnosed with hyperlipidemia, and 72.2% (159 365) were diagnosed with hypertension during the study period. The prevalence of CAD was 38.6% (61 125 patients) in 2015 and 36.7% (68 130 patients) in 2019 (P < .001). The incidence of acute myocardial infarction increased from 6.9 per 1000 person-years in 2015 to 7.7 per 1000 patient-years in 2019 (percentage change, 4.79%; P < .001). The prevalence of HF was 22.9% (36 288 patients) in 2015 and 21.4% (39 857 patients) in 2019 (P < .001). The incidence of HF increased from 26.1 per 1000 person-years in 2015 to 27.0 per 1000 person-years in 2019 (percentage change, 4.08%; P < .001). AF had a stable prevalence of 9% during the study period (2015: 9.4% [14 899 patients] vs 2019: 9.3% [25 175 patients]). The incidence of stroke or TIA decreased slightly throughout the study period (12.7 per 1000 person-years in 2015 and 12.1 per 1000 person-years in 2019; percentage change, 5.08; P = .004). Fifty percent of patients (110 244) had at least 1 severe cardiovascular condition (CAD, HF, AF, or cerebrovascular disease), and the overall mortality rate for the cohort was 19.8% (43 589 patients). Conclusions and Relevance In this large cohort study of American Indian and Alaska Native patients with Medicare insurance in the US, results suggest a significant burden of cardiovascular disease and cardiometabolic risk factors. These results highlight the critical need for future efforts to prioritize the cardiovascular health of this population.
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Affiliation(s)
- Lauren A. Eberly
- Gallup Indian Medical Center, Indian Health Service, Gallup, New Mexico
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia
- Penn Cardiovascular Center for Health Equity and Social Justice, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Kaitlyn Shultz
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
| | - Maricruz Merino
- Gallup Indian Medical Center, Indian Health Service, Gallup, New Mexico
| | | | - Ernest Benally
- Gallup Indian Medical Center, Indian Health Service, Gallup, New Mexico
| | - Ada Tennison
- Gallup Indian Medical Center, Indian Health Service, Gallup, New Mexico
| | - Sabor Biggs
- Gallup Indian Medical Center, Indian Health Service, Gallup, New Mexico
| | - Lakotah Hardie
- Division of General Internal Medicine, Massachusetts General Hospital, Boston
| | - Ye Tian
- Division of Pulmonary and Critical Care, Penn Presbyterian Medical Center, Philadelphia, Pennsylvania
| | - Ashwin S. Nathan
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Sameed Ahmed M. Khatana
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Judy A. Shea
- Division of General Internal Medicine, University of Pennsylvania, Philadelphia
| | - Eldrin Lewis
- Division of Cardiovascular Medicine, Stanford University Medical Center, Palo Alto, California
| | - Gene Bukhman
- Division of Global Health Equity, Brigham and Women’s Hospital, Boston, Massachusetts
- Department of Global Health and Social Medicine, Program in Global Noncommunicable Diseases and Social Change, Harvard Medical School, Boston, Massachusetts
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Sonya Shin
- Gallup Indian Medical Center, Indian Health Service, Gallup, New Mexico
- Division of Global Health Equity, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Peter W. Groeneveld
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
- Division of General Internal Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
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Khatana SAM, Groeneveld PW. Extreme Heat and Poor Air Quality: Dual Threats to Cardiovascular Health. Circulation 2023; 148:324-326. [PMID: 37486994 DOI: 10.1161/circulationaha.123.065572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Affiliation(s)
- Sameed Ahmed M Khatana
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (S.A.M.K., P.W.G.)
- VA Center for Health Equity Research and Promotion, Philadelphia, PA (S.A.M.K., P.W.G.)
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research (S.A.M.K., P.W.G.), University of Pennsylvania, Philadelphia
- Divisions of Cardiovascular Medicine (S.A.M.K., P.W.G.), University of Pennsylvania, Philadelphia
- Perelman School of Medicine, and Leonard Davis Institute for Health Economics (S.A.M.K., P.W.G.), University of Pennsylvania, Philadelphia
| | - Peter W Groeneveld
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (S.A.M.K., P.W.G.)
- VA Center for Health Equity Research and Promotion, Philadelphia, PA (S.A.M.K., P.W.G.)
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research (S.A.M.K., P.W.G.), University of Pennsylvania, Philadelphia
- Divisions of Cardiovascular Medicine (S.A.M.K., P.W.G.), University of Pennsylvania, Philadelphia
- General Internal Medicine (P.W.G.), University of Pennsylvania, Philadelphia
- Perelman School of Medicine, and Leonard Davis Institute for Health Economics (S.A.M.K., P.W.G.), University of Pennsylvania, Philadelphia
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Julien HM, Wang Y, Curtis JP, Johnston-Cox H, Eberly LA, Wang GJ, Nathan AS, Fanaroff AC, Khatana SAM, Groeneveld PW, Secemsky EA, Eneanya ND, Vora AN, Kobayashi T, Barbery C, Chery G, Kohi M, Kirksey L, Armstrong EJ, Jaff MR, Giri J. Racial Differences in Presentation and Outcomes After Peripheral Arterial Interventions: Insights From the NCDR-PVI Registry. Circ Cardiovasc Interv 2023; 16:e011485. [PMID: 37339237 DOI: 10.1161/circinterventions.121.011485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 05/03/2023] [Indexed: 06/22/2023]
Abstract
BACKGROUND We assess the rates of device use and outcomes by race among patients undergoing lower extremity peripheral arterial intervention using the American College of Cardiology National Cardiovascular Data Registry-Peripheral Vascular Intervention (PVI) registry. METHODS Patients who underwent PVI between April 2014 and March 2019 were included. Socioeconomic status was evaluated using the Distressed Community Index score for patients' zip codes. Multivariable logistic regression was used to assess factors associated with utilization of drug-eluting technologies, intravascular imaging, and atherectomy. Among patients with Centers for Medicare and Medicaid Services data, we compared 1-year mortality, rates of amputation, and repeat revascularizations. RESULTS Of 63 150 study cases, 55 719 (88.2%) were performed in White patients and 7431 (11.8%) in Black patients. Black patients were younger (67.9 versus 70.0 years), had higher rates of hypertension (94.4% versus 89.5%), diabetes (63.0% versus 46.2%), less likely to be able to walk 200 m (29.1% versus 24.8%), and higher Distressed Community Index scores (65.1 versus 50.6). Black patients were provided drug-eluting technologies at a higher rate (adjusted odds ratio, 1.14 [95% CI, 1.06-1.23]) with no difference in atherectomy (adjusted odds ratio, 0.98 [95% CI, 0.91-1.05]) or intravascular imaging (adjusted odds ratio, 1.03 [95% CI, 0.88-1.22]) use. Black patients experienced a lower rate of acute kidney injury (adjusted odds ratio, 0.79 [95% CI, 0.72-0.88]). In Centers for Medicare and Medicaid Services-linked analyses of 7429 cases (11.8%), Black patients were significantly less likely to have surgical (adjusted hazard ratio, 0.40 [95% CI, 0.17-0.96]) or repeat PVI revascularization (adjusted hazard ratio, 0.42 [95% CI, 0.30-0.59]) at 1 year compared with White patients. There was no difference in mortality (adjusted hazard ratio [0.8-1.4]) or major amputation (adjusted hazard ratio, 2.5 [95% CI, 0.8-7.6]) between Black and White patients. CONCLUSIONS Black patients presenting for PVI were younger, had higher prevalence of comorbidities and lower socioeconomic status. After adjustment, Black patients were less likely to have surgical or repeat PVI revascularization after the index PVI procedure.
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Affiliation(s)
- Howard M Julien
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., H.J.-C., L.A.E., A.S.N., A.C.F., S.A.M.K., T.K., C.B., G.C., J.C.)
- Penn Cardiovascular Outcomes, Quality & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.G., T.K., J.G.)
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.W.G., J.G.)
- Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (H.M.J., P.W.G., S.A.M.K.)
- Penn Cardiovascular Center for Health Equity and Social Justice, Philadelphia (H.M.J., L.A.E.)
| | - Yongfei Wang
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (Y.W., J.P.C.)
- Center of Outcome Research and Evaluation Yale New Haven Health System, CT (Y.W., J.P.C.)
| | - Jeptha P Curtis
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT (Y.W., J.P.C.)
- Center of Outcome Research and Evaluation Yale New Haven Health System, CT (Y.W., J.P.C.)
| | - Hillary Johnston-Cox
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., H.J.-C., L.A.E., A.S.N., A.C.F., S.A.M.K., T.K., C.B., G.C., J.C.)
| | - Lauren A Eberly
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., H.J.-C., L.A.E., A.S.N., A.C.F., S.A.M.K., T.K., C.B., G.C., J.C.)
- Penn Cardiovascular Outcomes, Quality & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.G., T.K., J.G.)
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.W.G., J.G.)
- Penn Cardiovascular Center for Health Equity and Social Justice, Philadelphia (H.M.J., L.A.E.)
| | - Grace J Wang
- Penn Cardiovascular Outcomes, Quality & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.G., T.K., J.G.)
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.W.G., J.G.)
| | - Ashwin S Nathan
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., H.J.-C., L.A.E., A.S.N., A.C.F., S.A.M.K., T.K., C.B., G.C., J.C.)
- Penn Cardiovascular Outcomes, Quality & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.G., T.K., J.G.)
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.W.G., J.G.)
| | - Alexander C Fanaroff
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., H.J.-C., L.A.E., A.S.N., A.C.F., S.A.M.K., T.K., C.B., G.C., J.C.)
- Penn Cardiovascular Outcomes, Quality & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.G., T.K., J.G.)
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.W.G., J.G.)
| | - Sameed Ahmed M Khatana
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., H.J.-C., L.A.E., A.S.N., A.C.F., S.A.M.K., T.K., C.B., G.C., J.C.)
- Penn Cardiovascular Outcomes, Quality & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.G., T.K., J.G.)
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.W.G., J.G.)
- Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (H.M.J., P.W.G., S.A.M.K.)
| | - Peter W Groeneveld
- Penn Cardiovascular Outcomes, Quality & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.G., T.K., J.G.)
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.W.G., J.G.)
- Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (H.M.J., P.W.G., S.A.M.K.)
| | - Eric A Secemsky
- Department of Medicine, Harvard Medical School, Boston, MA (E.A.S.)
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (E.A.S.)
| | - Nwamaka D Eneanya
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia (N.D.E.)
- Palliative and Advanced Illness Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (N.D.E.)
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (N.D.E.)
| | - Amit N Vora
- University of Pittsburgh Medical Center-Pinnacle, Wormleysburg, PA (A.N.V.)
| | - Taisei Kobayashi
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., H.J.-C., L.A.E., A.S.N., A.C.F., S.A.M.K., T.K., C.B., G.C., J.C.)
- Penn Cardiovascular Outcomes, Quality & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.G., T.K., J.G.)
| | - Carlos Barbery
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., H.J.-C., L.A.E., A.S.N., A.C.F., S.A.M.K., T.K., C.B., G.C., J.C.)
| | - Godefroy Chery
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., H.J.-C., L.A.E., A.S.N., A.C.F., S.A.M.K., T.K., C.B., G.C., J.C.)
| | - Maureen Kohi
- Department of Radiology, University of North Carolina School of Medicine, Chapel Hill (M.K.)
| | - Lee Kirksey
- Division of Vascular Surgery, Cleveland Clinic, OH (L.K.)
| | - Ehrin J Armstrong
- Division of Cardiology, Rocky Mountain Regional VA Medical Center, University of Colorado, Denver, CO (E.J.A.)
- University of Colorado School of Medicine, Aurora (E.J.A.)
| | - Michael R Jaff
- Division of Vascular and Endovascular Surgery, Massachusetts General Hospital, Boston (M.R.J.)
| | - Jay Giri
- Penn Cardiovascular Outcomes, Quality & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.G., T.K., J.G.)
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (H.M.J., L.A.E., G.J.W., A.S.N., A.C.F., S.A.M.K., P.W.G., J.G.)
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8
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Reddy KP, Eberly LA, Halaby R, Julien H, Khatana SAM, Dayoub EJ, Coylewright M, Alkhouli M, Fiorilli PN, Kobayashi TJ, Goldberg DM, Santangeli P, Herrmann HC, Giri J, Groeneveld PW, Fanaroff AC, Nathan AS. Racial, Ethnic, and Socioeconomic Inequities in Access to Left Atrial Appendage Occlusion. J Am Heart Assoc 2023; 12:e028032. [PMID: 36802837 PMCID: PMC10111439 DOI: 10.1161/jaha.122.028032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/23/2023]
Abstract
Background Inequitable access to high-technology therapeutics may perpetuate inequities in care. We examined the characteristics of US hospitals that did and did not establish left atrial appendage occlusion (LAAO) programs, the patient populations those hospitals served, and the associations between zip code-level racial, ethnic, and socioeconomic composition and rates of LAAO among Medicare beneficiaries living within large metropolitan areas with LAAO programs. Methods and Results We conducted cross-sectional analyses of Medicare fee-for-service claims for beneficiaries aged 66 years or older between 2016 and 2019. We identified hospitals establishing LAAO programs during the study period. We used generalized linear mixed models to measure the association between zip code-level racial, ethnic, and socioeconomic composition and age-adjusted rates of LAAO in the most populous 25 metropolitan areas with LAAO sites. During the study period, 507 candidate hospitals started LAAO programs, and 745 candidate hospitals did not. Most new LAAO programs opened in metropolitan areas (97.4%). Compared with non-LAAO centers, LAAO centers treated patients with higher median household incomes (difference of $913 [95% CI, $197-$1629], P=0.01). Zip code-level rates of LAAO procedures per 100 000 Medicare beneficiaries in large metropolitan areas were 0.34% (95% CI, 0.33%-0.35%) lower for each $1000 zip code-level decrease in median household income. After adjustment for socioeconomic markers, age, and clinical comorbidities, LAAO rates were lower in zip codes with higher proportions of Black or Hispanic patients. Conclusions Growth in LAAO programs in the United States had been concentrated in metropolitan areas. LAAO centers treated wealthier patient populations in hospitals without LAAO programs. Within major metropolitan areas with LAAO programs, zip codes with higher proportions of Black and Hispanic patients and more patients experiencing socioeconomic disadvantage had lower age-adjusted rates of LAAO. Thus, geographic proximity alone may not ensure equitable access to LAAO. Unequal access to LAAO may reflect disparities in referral patterns, rates of diagnosis, and preferences for using novel therapies experienced by racial and ethnic minority groups and patients experiencing socioeconomic disadvantage.
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Affiliation(s)
- Kriyana P Reddy
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center University of Pennsylvania Philadelphia PA
| | - Lauren A Eberly
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center University of Pennsylvania Philadelphia PA.,Division of Cardiology Hospital of the University of Pennsylvania Philadelphia PA.,Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia PA
| | - Rim Halaby
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center University of Pennsylvania Philadelphia PA.,Division of Cardiology Hospital of the University of Pennsylvania Philadelphia PA
| | - Howard Julien
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center University of Pennsylvania Philadelphia PA.,Division of Cardiology Hospital of the University of Pennsylvania Philadelphia PA.,Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia PA.,Corporal Michael J. Crescenz VA Medical Center Philadelphia PA
| | - Sameed Ahmed M Khatana
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center University of Pennsylvania Philadelphia PA.,Division of Cardiology Hospital of the University of Pennsylvania Philadelphia PA.,Corporal Michael J. Crescenz VA Medical Center Philadelphia PA
| | - Elias J Dayoub
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center University of Pennsylvania Philadelphia PA.,Division of Cardiology Hospital of the University of Pennsylvania Philadelphia PA.,Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia PA
| | | | | | - Paul N Fiorilli
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center University of Pennsylvania Philadelphia PA.,Division of Cardiology Hospital of the University of Pennsylvania Philadelphia PA.,Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia PA.,Corporal Michael J. Crescenz VA Medical Center Philadelphia PA
| | - Taisei J Kobayashi
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center University of Pennsylvania Philadelphia PA.,Division of Cardiology Hospital of the University of Pennsylvania Philadelphia PA.,Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia PA.,Corporal Michael J. Crescenz VA Medical Center Philadelphia PA
| | | | - Pasquale Santangeli
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center University of Pennsylvania Philadelphia PA.,Division of Cardiology Hospital of the University of Pennsylvania Philadelphia PA
| | - Howard C Herrmann
- Division of Cardiology Hospital of the University of Pennsylvania Philadelphia PA
| | - Jay Giri
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center University of Pennsylvania Philadelphia PA.,Division of Cardiology Hospital of the University of Pennsylvania Philadelphia PA.,Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia PA.,Corporal Michael J. Crescenz VA Medical Center Philadelphia PA
| | - Peter W Groeneveld
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center University of Pennsylvania Philadelphia PA.,Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia PA.,Corporal Michael J. Crescenz VA Medical Center Philadelphia PA.,Division of General Internal Medicine, Perelman School of Medicine University of Pennsylvania Philadelphia PA
| | - Alexander C Fanaroff
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center University of Pennsylvania Philadelphia PA.,Division of Cardiology Hospital of the University of Pennsylvania Philadelphia PA.,Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia PA
| | - Ashwin S Nathan
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center University of Pennsylvania Philadelphia PA.,Division of Cardiology Hospital of the University of Pennsylvania Philadelphia PA.,Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia PA.,Corporal Michael J. Crescenz VA Medical Center Philadelphia PA
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9
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Khatana SAM, Werner RM, Groeneveld PW. Association of Extreme Heat and Cardiovascular Mortality in the United States: A County-Level Longitudinal Analysis From 2008 to 2017. Circulation 2022; 146:249-261. [PMID: 35726635 DOI: 10.1161/circulationaha.122.060746] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Extreme-heat events are increasing as a result of climate change. Prior studies, typically limited to urban settings, suggest an association between extreme heat and cardiovascular mortality. However, the extent of the burden of cardiovascular deaths associated with extreme heat across the United States and in different age, sex, or race and ethnicity subgroups is unclear. METHODS County-level daily maximum heat index levels for all counties in the contiguous United States in summer months (May-September) and monthly cardiovascular mortality rates for adults ≥20 years of age were obtained. For each county, an extreme-heat day was identified if the maximum heat index was ≥90 °F (32.2 °C) and in the 99th percentile of the maximum heat index in the baseline period (1979-2007) for that day. Spatial empirical Bayes smoothed monthly cardiovascular mortality rates from 2008 to 2017 were the primary outcome. A Poisson fixed-effects regression model was estimated with the monthly number of extreme-heat days as the independent variable of interest. The model included time-fixed effects and time-varying environmental, economic, demographic, and health care-related variables. RESULTS Across 3108 counties, from 2008 to 2017, each additional extreme-heat day was associated with a 0.12% (95% CI, 0.04%-0.21%; P=0.004) higher monthly cardiovascular mortality rate. Extreme heat was associated with an estimated 5958 (95% CI, 1847-10 069) additional deaths resulting from cardiovascular disease over the study period. In subgroup analyses, extreme heat was associated with a greater relative increase in mortality rates among men compared with women (0.20% [95% CI, 0.07%-0.33%]) and non-Hispanic Black compared with non-Hispanic White adults (0.19% [95% CI, 0.01%-0.37%]). There was a greater absolute increase among elderly adults compared with nonelderly adults (16.6 [95% CI, 14.6-31.8] additional deaths per 10 million individuals per month). CONCLUSIONS Extreme-heat days were associated with higher adult cardiovascular mortality rates in the contiguous United States between 2008 and 2017. This association was heterogeneous among age, sex, race, and ethnicity subgroups. As extreme-heat events increase, the burden of cardiovascular mortality may continue to increase, and the disparities between demographic subgroups may widen.
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Affiliation(s)
- Sameed Ahmed M Khatana
- Division of Cardiovascular Medicine (S.A.M.K.), University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center (S.A.M.K., P.W.G.), University of Pennsylvania, Philadelphia.,The Leonard Davis Institute of Health Economics (S.A.M.K., R.M.W., P.W.G.), University of Pennsylvania, Philadelphia
| | - Rachel M Werner
- Division of General Internal Medicine (R.M.W., P.W.G.), Perelman School of Medicine, University of Pennsylvania, Philadelphia.,The Leonard Davis Institute of Health Economics (S.A.M.K., R.M.W., P.W.G.), University of Pennsylvania, Philadelphia.,Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (R.M.W., P.W.G.)
| | - Peter W Groeneveld
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center (S.A.M.K., P.W.G.), University of Pennsylvania, Philadelphia.,Division of General Internal Medicine (R.M.W., P.W.G.), Perelman School of Medicine, University of Pennsylvania, Philadelphia.,The Leonard Davis Institute of Health Economics (S.A.M.K., R.M.W., P.W.G.), University of Pennsylvania, Philadelphia.,Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (R.M.W., P.W.G.)
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10
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Eberly LA, Julien H, South EC, Venkataraman A, Nathan AS, Anyawu EC, Dayoub E, Groeneveld PW, Khatana SAM. Association Between Community‐Level Violent Crime and Cardiovascular Mortality in Chicago: A Longitudinal Analysis. J Am Heart Assoc 2022; 11:e025168. [PMID: 35861831 PMCID: PMC9707824 DOI: 10.1161/jaha.122.025168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background
Violent crime has recently increased in many major metropolitan cities in the United States. Prior studies suggest an association between neighborhood crime levels and cardiovascular disease, but many have been limited by cross‐sectional designs. We investigated whether longitudinal changes in violent crime rates are associated with changes in cardiovascular mortality rates at the community level in one large US city‐Chicago, IL.
Methods and Results
Chicago is composed of 77 community areas. Age‐adjusted mortality rates by community area for cardiovascular disease, stroke, and coronary artery disease from 2000 to 2014, aggregated at 5‐year intervals, were obtained from the Illinois Department of Public Health Division of Vital Records. Mean total and violent crime rates by community area were obtained from the City of Chicago Police Data Portal. Using a 2‐way fixed effects estimator, we assessed the association between longitudinal changes in violent crime and cardiovascular mortality rates after accounting for changes in demographic and economic variables and secular time trends at the community area level from 2000 to 2014. Between 2000 and 2014, the median violent crime rate in Chicago decreased from 3620 per 100 000 (interquartile range [IQR], 2256, 7777) in the 2000 to 2004 period to 2390 (IQR 1507, 5745) in the 2010 to 2014 period (
P
=0.005 for trend). In the fixed effects model a 1% decrease in community area violent crime rate was associated with a 0.21% (95% CI, 0.09–0.33) decrease in cardiovascular mortality rates (
P
=<0.001) and a 0.19% (95% CI, 0.04–0.33) decrease in coronary artery disease mortality rates (
P
=0.01). There was no statistically significant association between change in violent crime and stroke mortality rates (−0.17% [95% CI, −0.42 to 0.08;
P
=0.18]).
Conclusions
From 2000 to 2014, a greater decrease in violent crime at the community area level was associated with a greater decrease in cardiovascular and coronary artery disease mortality rates in Chicago. These findings add to the growing evidence of the impact of the built environment on health and implicate violent crime exposure as a potential social determinant of cardiovascular health. Targeted investment in communities to decrease violent crime may improve community cardiovascular health.
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Affiliation(s)
- Lauren A. Eberly
- Cardiovascular Division Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA
- Penn Cardiovascular Center for Health Equity and Social Justice University of Pennsylvania Philadelphia PA
- Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA
| | - Howard Julien
- Cardiovascular Division Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA
- Penn Cardiovascular Center for Health Equity and Social Justice University of Pennsylvania Philadelphia PA
| | - Eugenia C. South
- Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA
- Urban Health Lab, Department of Emergency Medicine Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
| | - Atheendar Venkataraman
- Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA
- Department of Medical Ethics and Health Policy, Perelman School of Medicine University of Pennsylvania Philadelphia PA
| | - Ashwin S. Nathan
- Cardiovascular Division Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA
- Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA
| | - Emeka C. Anyawu
- Cardiovascular Division Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
| | - Elias Dayoub
- Cardiovascular Division Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA
- Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA
| | - Peter W. Groeneveld
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA
- Division of General Internal Medicine, Perelman School of Medicine University of Pennsylvania Philadelphia PA
| | - Sameed Ahmed M. Khatana
- Cardiovascular Division Perelman School of Medicine at the University of Pennsylvania Philadelphia PA
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA
- Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA
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11
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Khatana SAM, Yang L, Eberly LA, Julien HM, Adusumalli S, Groeneveld PW. Predictors of telemedicine use during the COVID-19 pandemic in the United States–an analysis of a national electronic medical record database. PLoS One 2022; 17:e0269535. [PMID: 35767530 PMCID: PMC9242497 DOI: 10.1371/journal.pone.0269535] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 05/23/2022] [Indexed: 11/18/2022] Open
Abstract
Telemedicine utilization increased significantly in the United States during the COVID-19 pandemic. However, there is concern that disadvantaged groups face barriers to access based on single-center studies. Whether there has been equitable access to telemedicine services across the US and during later parts of the pandemic is unclear. This study retrospectively analyzes outpatient medical encounters for patients 18 years of age and older using Healthjump–a national electronic medical record database–from March 1 to December 31, 2020. A mixed effects multivariable logistic regression model was used to assess the association between telemedicine utilization and patient and area-level factors and the odds of having at least one telemedicine encounter during the study period. Among 1,999,534 unique patients 21.6% had a telemedicine encounter during the study period. In the multivariable model, age [OR = 0.995 (95% CI 0.993, 0.997); p<0.001], non-Hispanic Black race [OR = 0.88 (95% CI 0.84, 0.93); p<0.001], and English as primary language [OR = 0.78 (95% CI 0.74, 0.83); p<0.001] were associated with a lower odds of telemedicine utilization. Female gender [OR = 1.24 (95% CI 1.22, 1.27); p<0.001], Hispanic ethnicity or non-Hispanic other race [OR = 1.40 (95% CI 1.33, 1.46);p<0.001 and 1.29 (95% CI 1.20, 1.38); p<0.001, respectively] were associated with a higher odds of telemedicine utilization. During the COVID-19 pandemic, therefore, utilization of telemedicine differed significantly among patient groups, with older and non-Hispanic Black patients less likely to have telemedicine encounters. These findings are relevant for ongoing efforts regarding the nature of telemedicine as the COVID-19 pandemic ends.
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Affiliation(s)
- Sameed Ahmed M. Khatana
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- * E-mail:
| | - Lin Yang
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Lauren A. Eberly
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Penn Cardiovascular Center for Health Equity and Social Justice, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Howard M. Julien
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Penn Cardiovascular Center for Health Equity and Social Justice, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Srinath Adusumalli
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Penn Cardiovascular Center for Health Equity and Social Justice, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Penn Medicine Center for Health Care, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Peter W. Groeneveld
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, United States of America
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12
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Abstract
IMPORTANCE The number of extreme heat events is increasing because of climate change. Previous studies showing an association between extreme heat and higher mortality rates generally have been limited to urban areas, and whether there is heterogeneity across different populations is not well studied; understanding whether this association varies across different communities, particularly minoritized racial and ethnic groups, may allow for more targeted mitigation efforts. OBJECTIVE To the assess the association between extreme heat and all-cause mortality rates in the US. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study involved a longitudinal analysis of the association between the number of extreme heat days in summer months from 2008 to 2017 (obtained from the Centers for Disease Control and Prevention's Environmental Public Health Tracking Program) and county-level all-cause mortality rates (obtained from the National Center for Health Statistics), using a linear fixed-effects model across all counties in the contiguous US among adults aged 20 years and older. Data analysis was performed from September 2021 to March 2022. EXPOSURES The number of extreme heat days per month. Extreme heat was identified if the maximum heat index was greater than or equal to 90 °F (32.2 °C) and in the 99th percentile of the maximum heat index in the baseline period (1979 to 2007). MAIN OUTCOMES AND MEASURES County-level, age-adjusted, all-cause mortality rates. RESULTS There were 219 495 240 adults aged 20 years and older residing in the contiguous US in 2008, of whom 113 294 043 (51.6%) were female and 38 542 838 (17.6%) were older than 65 years. From 2008 to 2017, the median (IQR) number of extreme heat days during summer months in all 3108 counties in the contiguous US was 89 (61-122) days. After accounting for time-invariant confounding, secular time trends, and time-varying environmental and economic measures, each additional extreme heat day in a month was associated with 0.07 additional death per 100 000 adults (95% CI, 0.03-0.10 death per 100 000 adults; P = .001). In subgroup analyses, greater increases in mortality rates were found for older vs younger adults (0.19 death per 100 000 individuals; 95% CI, 0.04-0.34 death per 100 000 individuals), male vs female adults (0.12 death per 100 000 individuals; 95% CI, 0.05-0.18 death per 100 000 individuals), and non-Hispanic Black vs non-Hispanic White adults (0.11 death per 100 000 individuals; 95% CI, 0.02-0.20 death per 100 000 individuals). CONCLUSIONS AND RELEVANCE These findings suggest that from 2008 to 2017, extreme heat was associated with higher all-cause mortality in the contiguous US, with a greater increase noted among older adults, men, and non-Hispanic Black individuals. Without mitigation, the projected increase in extreme heat due to climate change may widen health disparities between groups.
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Affiliation(s)
- Sameed Ahmed M. Khatana
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Rachel M. Werner
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
| | - Peter W. Groeneveld
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
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Khatana SAM, Goldberg DS. Changes in County-Level Economic Prosperity Are Associated With Liver Disease-Related Mortality Among Working-Age Adults. Clin Gastroenterol Hepatol 2022; 20:1122-1129. [PMID: 34425277 PMCID: PMC9121630 DOI: 10.1016/j.cgh.2021.08.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 08/12/2021] [Accepted: 08/17/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS There is significant variability in county-level rates of liver disease-related mortality. Although this variability is explained partly by demographics, risk factors for liver disease, and access to specialty liver care, little is known about temporal changes in mortality, and its association with economic prosperity. Therefore, we sought to explore the association between changes in county-level economic prosperity and liver disease-related mortality. METHODS We performed a retrospective cohort study using county-level mortality data from the Centers for Disease Control and Prevention, economic prosperity measures from the Distressed Communities Index, and county-level markers of demographics, risk factors for liver disease, and access to health care. Primary analyses focused on adults aged 20 to 64 years of age. We used generalized linear mixed models (outcome = annual percentage change in age-adjusted liver disease-related mortality), with the primary exposure being an interaction between year and change in economic prosperity. RESULTS There was an inverse relationship between county-level changes in economic prosperity and changes in county-level age-adjusted liver disease-related mortality rates (eg, counties with the smallest increase in economic prosperity had the biggest annual increase in liver disease-related mortality). In generalized linear mixed models accounting for county-level covariates, there was a significant association between economic prosperity and liver disease-related mortality, that is, for every 10-point higher mean rank for change in economic prosperity, there was an additional 0.65% decrease (95% CI, 0.19%-1.10%; P = .006) in mortality per year. CONCLUSIONS County-level changes in economic prosperity, independent of other county-level clinical, demographic, and access-to-care variables, may play a role in population-level trends in liver disease-related deaths among the working age population.
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Affiliation(s)
- Sameed Ahmed M Khatana
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - David Seth Goldberg
- Division of Digestive Health and Liver Diseases, University of Miami Miller School of Medicine, Miami, Florida.
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Nathan AS, Geng Z, Eberly LA, Eneanya ND, Dayoub EJ, Khatana SAM, Kolansky DM, Kobayashi TJ, Tuteja S, Fanaroff AC, Giri J, Groeneveld PW. Identifying Racial, Ethnic, and Socioeconomic Inequities in the Use of Novel P2Y12 Inhibitors After Percutaneous Coronary Intervention. J Invasive Cardiol 2022; 34:E171-E178. [PMID: 35037896 PMCID: PMC9128341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
BACKGROUND Novel P2Y12 inhibitors prasugrel and ticagrelor were approved for patients with acute coronary syndrome (ACS) in 2009 and 2011, respectively. We assessed the association of racial, ethnic, and socioeconomic factors with initiation of and adherence to novel P2Y12 inhibitors in a commercially insured population. METHODS We performed a retrospective cohort analysis of adults undergoing percutaneous coronary intervention with placement of a drug-eluting stent, stratified by ACS status, between January 2008 and December 2016 using Clinformatics Data Mart (OptumInsight). We estimated multivariable logistic regression models to identify factors associated with the initiation of clopidogrel vs novel P2Y12 inhibitors as well as subsequent 6-month medication adherence, assessed via pharmacy records. RESULTS A total of 55,664 patients were included in the analysis. Hispanic ethnicity was independently associated with the initiation of clopidogrel compared with novel P2Y12 inhibitors among ACS patients (odds ratio [OR], 1.19; 95% confidence interval [CI], 1.04-1.36; P<.01). ACS patients with an annual median household income of over $100,000 were less likely to be started on clopidogrel when compared with those who earned less than $40,000 (OR, 0.67; 95% CI, 0.61-0.75; P<.01). Black race, Hispanic ethnicity, and lower household income were each associated with significantly reduced odds of P2Y12 inhibitor adherence. CONCLUSION Hispanic ethnicity and lower household income were associated with novel P2Y12 inhibitor initiation, and non-White race and ethnicity were associated with lower P2Y12 inhibitor adherence over 6-month follow-up. These findings highlight continued inequity of care, even in an insured population, and point to a need for new strategies to close these gaps.
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Affiliation(s)
- Ashwin S. Nathan
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA
| | - Zhi Geng
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA
| | - Lauren A. Eberly
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA
| | - Nwamaka D. Eneanya
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA,Nephrology Division, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Elias J. Dayoub
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA,Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Sameed Ahmed M. Khatana
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA
| | - Daniel M. Kolansky
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Taisei J. Kobayashi
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Sony Tuteja
- Deepartment of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Alexander C. Fanaroff
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA
| | - Jay Giri
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Peter W. Groeneveld
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA,Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
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Abstract
BACKGROUND & AIMS The Affordable Care Act provided the opportunity for states to expand Medicaid for low-income individuals. Not all states adopted Medicaid expansion, and the timing of adoption among expansion states varied. Prior studies have shown that Medicaid expansion improved mortality rates for several chronic conditions. Although there are data on the association between Medicaid expansion on insurance type among patients waitlisted for a liver transplant, there are no published data to date on its impact on liver disease-related mortality in the broader population. We therefore sought to evaluate the association between Medicaid expansion and state-level liver disease-related mortality using a quasi-experimental study design. METHODS We evaluated age-adjusted, state-level, liver disease-related mortality rates using the Centers for Disease Control and Prevention data. We fit multivariable linear regression models that accounted for sociodemographic, clinical, and access-to-care variables at the state level, and a difference-in-difference estimator to evaluate the association between Medicaid expansion and liver disease-related mortality. RESULTS In multivariable linear regression models, there was a significant association between Medicaid expansion and liver disease-related mortality (P = .02). Medicaid expansion was associated with 8.3 (95% CI, 1.6-15.1) fewer deaths from liver disease per 1,000,000 adult residents per year after Medicaid expansion compared with what would have been expected to occur if those states followed the same trajectory as nonexpansion states. The impact of Medicaid expansion translated to 870 fewer liver-related deaths per year in expansion states (4350 in the postexpansion study period from 2014 to 2018). CONCLUSIONS These data support the contention that Medicaid expansion has been associated with significantly decreased liver disease-related mortality. Universal Medicaid expansion could further decrease liver disease-related mortality in the United States.
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Affiliation(s)
- Smriti Rajita Kumar
- Department of Internal Medicine, University of Miami Miller School of Medicine, Jackson Memorial Hospital, Miami, Florida
| | - Sameed Ahmed M Khatana
- Division of Cardiovascular Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - David Goldberg
- Division of Digestive Health and Liver Diseases, Department of Medicine, University of Miami Miller School of Medicine, Jackson Memorial Hospital, Miami, Florida.
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Eberly LA, Yang L, Essien UR, Eneanya ND, Julien HM, Luo J, Nathan AS, Khatana SAM, Dayoub EJ, Fanaroff AC, Giri J, Groeneveld PW, Adusumalli S. Racial, Ethnic, and Socioeconomic Inequities in Glucagon-Like Peptide-1 Receptor Agonist Use Among Patients With Diabetes in the US. JAMA Health Forum 2021; 2:e214182. [PMID: 35977298 PMCID: PMC8796881 DOI: 10.1001/jamahealthforum.2021.4182] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Accepted: 10/20/2021] [Indexed: 01/14/2023] Open
Abstract
Importance Randomized clinical trials have shown that glucagon-like peptide-1 receptor agonists (GLP-1 RAs) cause significant weight loss and reduce cardiovascular events in patients with type 2 diabetes (T2D). Black patients have a disproportionate burden of obesity and cardiovascular disease and have a higher rate of cardiovascular-related mortality. Racial and ethnic disparities in health outcomes are largely attributable to the pervasiveness of structural racism, and patients who are marginalized by racism have less access to novel therapeutics. Objectives To evaluate GLP-1 RA uptake among a commercially insured population of patients with T2D; identify associations of race, ethnicity, sex, and socioeconomic status with GLP-1 RA use; and specifically examine its use among the subgroup of patients with atherosclerotic cardiovascular disease (ASCVD) because of the known benefit of GLP-1 RA use for this population. Design Setting and Participants This was a retrospective cohort analysis using data from OptumInsight Clinformatics Data Mart of commercially insured adult patients with T2D (with or without ASCVD) in the US. Data from October 1, 2015, to June 31, 2019, were included, and the analyses were performed in July 2020. We estimated multivariable logistic regression models to identify the association of race, ethnicity, sex, and socioeconomic status with GLP-1 RA use. Main Outcome and Measure A prescription for a GLP-1 RA. Results Of the 1 180 260 patients with T2D (median [IQR] age, 69 [59-76] years; 50.3% female; 57.7% White), 90 934 (7.7%) were treated with GLP-1 RA during the study period. From 2015 to 2019, the percentage of T2D patients treated with an GLP-1 RA increased from 3.2% to 10.7%. Among patients with T2D and ASCVD, use also increased but remained low (2.8%-9.4%). In multivariable analyses, lower rates of GLP-1 RA use were found among Asian (aOR, 0.59; 95% CI, 0.56-0.62), Black (adjusted odds ratio [aOR] 0.81; 95% CI, 0.79-0.83), and Hispanic (aOR, 0.91; 95% CI, 0.88-0.93) patients with T2D. Female sex (aOR, 1.22; 95% CI, 1.20-1.24) and higher zip code-linked median household incomes (>$100 000 [OR, 1.13; 95% CI, 1.11-1.16] and $50 000-$99 999 [OR, 1.07; 95% CI, 1.05-1.09] vs <$50 000) were associated with higher GLP-1 RA use. These results were similar to those found among patients with ASCVD. Conclusions and Relevance In this cohort study of US patients with T2D, GLP-1 RA use increased, but remained low overall for treatment of T2D, particularly among patients with ASCVD who are likely to derive the most benefit. Asian, Black, and Hispanic patients and those with low income were less likely to receive treatment with a GLP-1 RA. Strategies to lower barriers to GLP-1 RA use, such as lower cost, are needed to prevent the widening of well-documented inequities in cardiovascular disease outcomes in the US.
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Affiliation(s)
- Lauren A. Eberly
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia,Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia,Penn Cardiovascular Center for Health Equity and Social Justice, University of Pennsylvania, Philadelphia,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Lin Yang
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia
| | - Utibe R. Essien
- Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania,Center for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Nwamaka D. Eneanya
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia,Renal-Electrolyte and Hypertension Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Howard M. Julien
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia,Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia,Penn Cardiovascular Center for Health Equity and Social Justice, University of Pennsylvania, Philadelphia
| | - Jing Luo
- Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Ashwin S. Nathan
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia,Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Sameed Ahmed M. Khatana
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia,Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia,Penn Cardiovascular Center for Health Equity and Social Justice, University of Pennsylvania, Philadelphia,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia,Center for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Elias J. Dayoub
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia,Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia
| | - Alexander C. Fanaroff
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia,Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Jay Giri
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia,Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Peter W. Groeneveld
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia,Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania,Division of General Internal Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Srinath Adusumalli
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia,Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia,Penn Cardiovascular Center for Health Equity and Social Justice, University of Pennsylvania, Philadelphia,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
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Khatana SAM, Illenberger N, Werner RM, Groeneveld PW, Mitra N. Changes in Supplemental Nutrition Assistance Program Policies and Diabetes Prevalence: Analysis of Behavioral Risk Factor Surveillance System Data From 2004 to 2014. Diabetes Care 2021; 44:2699-2707. [PMID: 34607835 PMCID: PMC8669531 DOI: 10.2337/dc21-1203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 09/04/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Food insecurity is associated with diabetes. The Supplemental Nutrition Assistance Program (SNAP) is the largest U.S. government food assistance program. Whether such programs impact diabetes trends is unclear. The objective of this study was to evaluate the association between changes in state-level policies affecting SNAP participation and county-level diabetes prevalence. RESEARCH DESIGN AND METHODS We evaluated the association between change in county-level diabetes prevalence and changes in the U.S. Department of Agriculture SNAP policy index-a measure of adoption of state-level policies associated with increased SNAP participation (higher value indicating adoption of more policies associated with increased SNAP participation; range 1-10)-from 2004 to 2014 using g-computation, a robust causal inference methodology. The study included all U.S. counties with diabetes prevalence data available from the Centers for Disease Control and Prevention's U.S. Diabetes Surveillance System. RESULTS The study included 3,135 of 3,143 U.S. counties. Mean diabetes prevalence increased from 7.3% (SD 1.3) in 2004 to 9.1% (SD 1.8) in 2014. The mean SNAP policy index increased from 6.4 (SD 0.9) to 8.2 (SD 0.6) in 2014. After accounting for changes in demographic-, economic-, and health care-related variables and the baseline SNAP policy index, a 1-point absolute increase in the SNAP policy index between 2004 and 2014 was associated with a 0.050 (95% CI 0.042-0.057) percentage point lower diabetes prevalence per year. CONCLUSIONS State policies aimed at increasing SNAP participation were independently associated with a lower rise in diabetes prevalence between 2004 and 2014.
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Affiliation(s)
- Sameed Ahmed M Khatana
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA .,Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA
| | - Nicholas Illenberger
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Rachel M Werner
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA.,Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA
| | - Peter W Groeneveld
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA.,Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA
| | - Nandita Mitra
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA.,Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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18
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Nathan AS, Yang L, Yang N, Eberly LA, Khatana SAM, Dayoub EJ, Vemulapalli S, Julien H, Cohen DJ, Nallamothu BK, Baron SJ, Desai ND, Szeto WY, Herrmann HC, Groeneveld PW, Giri J, Fanaroff AC. Racial, Ethnic, and Socioeconomic Disparities in Access to Transcatheter Aortic Valve Replacement Within Major Metropolitan Areas. JAMA Cardiol 2021; 7:150-157. [PMID: 34787635 DOI: 10.1001/jamacardio.2021.4641] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Importance Despite the benefits of high-technology therapeutics, inequitable access to these technologies may generate disparities in care. Objective To examine the association between zip code-level racial, ethnic, and socioeconomic composition and rates of transcatheter aortic valve replacement (TAVR) among Medicare patients living within large metropolitan areas with TAVR programs. Design, Setting, and Participants This multicenter, nationwide cross-sectional analysis of Medicare claims data between January 1, 2012, and December 31, 2018, included beneficiaries of fee-for-service Medicare who were 66 years or older living in the 25 largest metropolitan core-based statistical areas. Exposure Receipt of TAVR. Main Outcomes and Measures The association between zip code-level racial, ethnic, and socioeconomic composition and rates of TAVR per 100 000 Medicare beneficiaries. Results Within the studied metropolitan areas, there were 7590 individual zip codes. The mean (SD) age of Medicare beneficiaries within these areas was 71.4 (2.0) years, a mean (SD) of 47.6% (5.8%) of beneficiaries were men, and a mean (SD) of 4.0% (7.0%) were Asian, 11.1% (18.9%) were Black, 8.0% (12.9%) were Hispanic, and 73.8% (24.9%) were White. The mean number of TAVRs per 100 000 Medicare beneficiaries by zip code was 249 (IQR, 0-429). For each $1000 decrease in median household income, the number of TAVR procedures performed per 100 000 Medicare beneficiaries was 0.2% (95% CI, 0.1%-0.4%) lower (P = .002). For each 1% increase in the proportion of patients who were dually eligible for Medicaid services, the number of TAVR procedures performed per 100 000 Medicare beneficiaries was 2.1% (95% CI, 1.3%-2.9%) lower (P < .001). For each 1-unit increase in the Distressed Communities Index score, the number of TAVR procedures performed per 100 000 Medicare beneficiaries was 0.4% (95% CI, 0.2%-0.5%) lower (P < .001). Rates of TAVR were lower in zip codes with higher proportions of patients of Black race and Hispanic ethnicity, despite adjusting for socioeconomic markers, age, and clinical comorbidities. Conclusions and Relevance Within major metropolitan areas in the US with TAVR programs, zip codes with higher proportions of Black and Hispanic patients and those with greater socioeconomic disadvantages had lower rates of TAVR, adjusting for age and clinical comorbidities. Whether this reflects a different burden of symptomatic aortic stenosis by race and socioeconomic status or disparities in use of TAVR requires further study.
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Affiliation(s)
- Ashwin S Nathan
- Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Lin Yang
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Nancy Yang
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Lauren A Eberly
- Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Sameed Ahmed M Khatana
- Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia.,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | - Elias J Dayoub
- Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | | | - Howard Julien
- Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia.,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | - David J Cohen
- Cardiovascular Research Foundation, New York, New York.,St Francis Hospital, Roslyn, New York
| | | | - Suzanne J Baron
- Lahey Hospital and Medical Center, Burlington, Massachusetts
| | - Nimesh D Desai
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia.,Division of Cardiac Surgery, Hospital of the University of Pennsylvania, Philadelphia
| | - Wilson Y Szeto
- Division of Cardiac Surgery, Hospital of the University of Pennsylvania, Philadelphia
| | - Howard C Herrmann
- Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia
| | - Peter W Groeneveld
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia.,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | - Jay Giri
- Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia.,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania
| | - Alexander C Fanaroff
- Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
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19
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Nathan AS, Yang L, Yang N, Khatana SAM, Dayoub EJ, Eberly LA, Vemulapalli S, Baron SJ, Cohen DJ, Desai ND, Bavaria JE, Herrmann HC, Groeneveld PW, Giri J, Fanaroff AC. Socioeconomic and Geographic Characteristics of Hospitals Establishing Transcatheter Aortic Valve Replacement Programs, 2012-2018. Circ Cardiovasc Qual Outcomes 2021; 14:e008260. [PMID: 34670405 DOI: 10.1161/circoutcomes.121.008260] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Despite the benefits of novel therapeutics, inequitable diffusion of new technologies may generate disparities. We examined the growth of transcatheter aortic valve replacement (TAVR) in the United States to understand the characteristics of hospitals that developed TAVR programs and the socioeconomic status of patients these hospitals served. METHODS We identified fee-for-service Medicare beneficiaries aged 66 years or older who underwent TAVR between January 1, 2012, and December 31, 2018, and hospitals that developed TAVR programs (defined as performing ≥10 TAVRs over the study period). We used linear regression models to compare socioeconomic characteristics of patients treated at hospitals that did and did not establish TAVR programs and described the association between core-based statistical area level markers of socioeconomic status and TAVR rates. RESULTS Between 2012 and 2018, 583 hospitals developed new TAVR programs, including 572 (98.1%) in metropolitan areas, and 293 (50.3%) in metropolitan areas with preexisting TAVR programs. Compared with hospitals that did not start TAVR programs, hospitals that did start TAVR programs treated fewer patients with dual eligibility for Medicaid (difference of -2.83% [95% CI, -3.78% to -1.89%], P≤0.01), higher median household incomes (difference $2447 [95% CI, $1348-$3547], P=0.03), and from areas with lower distressed communities index scores (difference -4.02 units [95% CI, -5.43 to -2.61], P≤0.01). After adjusting for the age, clinical comorbidities, race and ethnicity and socioeconomic status, areas with TAVR programs had higher rates of TAVR and TAVR rates per 100 000 Medicare beneficiaries were higher in core-based statistical areas with fewer dual eligible patients, higher median income, and lower distressed communities index scores. CONCLUSIONS During the initial growth phase of TAVR programs in the United States, hospitals serving wealthier patients were more likely to start programs. This pattern of growth has led to inequities in the dispersion of TAVR, with lower rates in poorer communities.
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Affiliation(s)
- Ashwin S Nathan
- Division of Cardiology (A.S.N., S.A.M.K., E.J.D., L.A.E., H.C.H., J.G., A.C.F.), Hospital of the University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.N., L.Y., N.Y., S.A.M.K., E.J.D., L.A.E., N.D.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia
| | - Lin Yang
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.N., L.Y., N.Y., S.A.M.K., E.J.D., L.A.E., N.D.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia
| | | | - Sameed Ahmed M Khatana
- Division of Cardiology (A.S.N., S.A.M.K., E.J.D., L.A.E., H.C.H., J.G., A.C.F.), Hospital of the University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.N., L.Y., N.Y., S.A.M.K., E.J.D., L.A.E., N.D.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics (A.S.N., L.Y., S.A.M.K., E.J.D., L.A.E., N.D.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia.,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (S.A.M.K., P.W.G., J.G.)
| | - Elias J Dayoub
- Division of Cardiology (A.S.N., S.A.M.K., E.J.D., L.A.E., H.C.H., J.G., A.C.F.), Hospital of the University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.N., L.Y., N.Y., S.A.M.K., E.J.D., L.A.E., N.D.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia
| | - Lauren A Eberly
- Division of Cardiology (A.S.N., S.A.M.K., E.J.D., L.A.E., H.C.H., J.G., A.C.F.), Hospital of the University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.N., L.Y., N.Y., S.A.M.K., E.J.D., L.A.E., N.D.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia
| | | | | | | | - Nimesh D Desai
- Division of Cardiac Surgery (N.D.D., J.E.B.), Hospital of the University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.N., L.Y., N.Y., S.A.M.K., E.J.D., L.A.E., N.D.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia
| | - Joseph E Bavaria
- Division of Cardiac Surgery (N.D.D., J.E.B.), Hospital of the University of Pennsylvania, Philadelphia
| | - Howard C Herrmann
- Division of Cardiology (A.S.N., S.A.M.K., E.J.D., L.A.E., H.C.H., J.G., A.C.F.), Hospital of the University of Pennsylvania, Philadelphia
| | - Peter W Groeneveld
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.N., L.Y., N.Y., S.A.M.K., E.J.D., L.A.E., N.D.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics (A.S.N., L.Y., S.A.M.K., E.J.D., L.A.E., N.D.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia.,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (S.A.M.K., P.W.G., J.G.)
| | - Jay Giri
- Division of Cardiology (A.S.N., S.A.M.K., E.J.D., L.A.E., H.C.H., J.G., A.C.F.), Hospital of the University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.N., L.Y., N.Y., S.A.M.K., E.J.D., L.A.E., N.D.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics (A.S.N., L.Y., S.A.M.K., E.J.D., L.A.E., N.D.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia.,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (S.A.M.K., P.W.G., J.G.)
| | - Alexander C Fanaroff
- Division of Cardiology (A.S.N., S.A.M.K., E.J.D., L.A.E., H.C.H., J.G., A.C.F.), Hospital of the University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.N., L.Y., N.Y., S.A.M.K., E.J.D., L.A.E., N.D.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia
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20
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Fanaroff AC, Yang L, Nathan AS, Khatana SAM, Julien H, Wang TY, Armstrong EJ, Treat‐Jacobson D, Glaser JD, Wang G, Damrauer SM, Giri J, Groeneveld PW. Geographic and Socioeconomic Disparities in Major Lower Extremity Amputation Rates in Metropolitan Areas. J Am Heart Assoc 2021; 10:e021456. [PMID: 34431320 PMCID: PMC8649262 DOI: 10.1161/jaha.121.021456] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 06/24/2021] [Indexed: 11/16/2022]
Abstract
Background Rates of major lower extremity amputation in patients with peripheral artery disease are higher in rural communities with markers of low socioeconomic status, but most Americans live in metropolitan areas. Whether amputation rates vary within US metropolitan areas is unclear, as are characteristics of high amputation rate urban communities. Methods and Results We estimated rates of major lower extremity amputation per 100 000 Medicare beneficiaries between 2010 and 2018 at the ZIP code level among ZIP codes with ≥100 beneficiaries. We described demographic characteristics of high and low amputation ZIP codes, and the association between major amputation rate and 3 ZIP code-level markers of socioeconomic status-the proportion of patients with dual eligibility for Medicaid, median household income, and Distressed Communities Index score-for metropolitan, micropolitan, and rural ZIP code cohorts. Between 2010 and 2018, 188 995 Medicare fee-for-service patients living in 31 391 ZIP codes with ≥100 beneficiaries had a major lower extremity amputation. The median (interquartile range) ZIP code-level number of amputations per 100 000 beneficiaries was 262 (75-469). Though nonmetropolitan ZIP codes had higher rates of major amputation than metropolitan areas, 78.2% of patients undergoing major amputation lived in metropolitan areas. Compared with ZIP codes with lower amputation rates, top quartile amputation rate ZIP codes had a greater proportion of Black residents (4.4% versus 17.5%, P<0.001). In metropolitan areas, after adjusting for clinical comorbidities and demographics, every $10 000 lower median household income was associated with a 4.4% (95% CI, 3.9-4.8) higher amputation rate, and a 10-point higher Distressed Communities Index score was associated with a 3.8% (95% CI, 3.4%-4.2%) higher amputation rate; there was no association between the proportion of patients eligible for Medicaid and amputation rate. These findings were comparable to the associations identified across all ZIP codes. Conclusions In metropolitan areas, where most individuals undergoing lower extremity amputation live, markers of lower socioeconomic status and Black race were associated with higher rates of major lower extremity amputation. Development of community-based tools for peripheral artery disease diagnosis and management targeted to communities with high amputation rates in urban areas may help reduce inequities in peripheral artery disease outcomes.
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Affiliation(s)
- Alexander C. Fanaroff
- Penn Cardiovascular Outcomes, Quality and Evaluative Research CenterUniversity of PennsylvaniaPhiladelphiaPA
- Leonard Davis Institute of Health EconomicsUniversity of PennsylvaniaPhiladelphiaPA
- Division of Cardiovascular MedicineUniversity of PennsylvaniaPhiladelphiaPA
| | - Lin Yang
- Penn Cardiovascular Outcomes, Quality and Evaluative Research CenterUniversity of PennsylvaniaPhiladelphiaPA
| | - Ashwin S. Nathan
- Penn Cardiovascular Outcomes, Quality and Evaluative Research CenterUniversity of PennsylvaniaPhiladelphiaPA
- Leonard Davis Institute of Health EconomicsUniversity of PennsylvaniaPhiladelphiaPA
- Division of Cardiovascular MedicineUniversity of PennsylvaniaPhiladelphiaPA
| | - Sameed Ahmed M. Khatana
- Penn Cardiovascular Outcomes, Quality and Evaluative Research CenterUniversity of PennsylvaniaPhiladelphiaPA
- Leonard Davis Institute of Health EconomicsUniversity of PennsylvaniaPhiladelphiaPA
- Division of Cardiovascular MedicineUniversity of PennsylvaniaPhiladelphiaPA
| | - Howard Julien
- Penn Cardiovascular Outcomes, Quality and Evaluative Research CenterUniversity of PennsylvaniaPhiladelphiaPA
- Division of Cardiovascular MedicineUniversity of PennsylvaniaPhiladelphiaPA
| | - Tracy Y. Wang
- Division of Cardiology and Duke Clinical Research InstituteDuke UniversityDurhamNC
| | | | | | - Julia D. Glaser
- Division of Vascular Surgery and Endovascular TherapyUniversity of PennsylvaniaPhiladelphiaPA
| | - Grace Wang
- Penn Cardiovascular Outcomes, Quality and Evaluative Research CenterUniversity of PennsylvaniaPhiladelphiaPA
- Leonard Davis Institute of Health EconomicsUniversity of PennsylvaniaPhiladelphiaPA
- Division of Vascular Surgery and Endovascular TherapyUniversity of PennsylvaniaPhiladelphiaPA
| | - Scott M. Damrauer
- Penn Cardiovascular Outcomes, Quality and Evaluative Research CenterUniversity of PennsylvaniaPhiladelphiaPA
- Leonard Davis Institute of Health EconomicsUniversity of PennsylvaniaPhiladelphiaPA
- Division of Vascular Surgery and Endovascular TherapyUniversity of PennsylvaniaPhiladelphiaPA
- Corporal Michael J. Crescenz Veterans Affairs Medical CenterPhiladelphiaPA
| | - Jay Giri
- Penn Cardiovascular Outcomes, Quality and Evaluative Research CenterUniversity of PennsylvaniaPhiladelphiaPA
- Leonard Davis Institute of Health EconomicsUniversity of PennsylvaniaPhiladelphiaPA
- Division of Cardiovascular MedicineUniversity of PennsylvaniaPhiladelphiaPA
- Corporal Michael J. Crescenz Veterans Affairs Medical CenterPhiladelphiaPA
| | - Peter W. Groeneveld
- Penn Cardiovascular Outcomes, Quality and Evaluative Research CenterUniversity of PennsylvaniaPhiladelphiaPA
- Leonard Davis Institute of Health EconomicsUniversity of PennsylvaniaPhiladelphiaPA
- Corporal Michael J. Crescenz Veterans Affairs Medical CenterPhiladelphiaPA
- Division of General Internal MedicineUniversity of PennsylvaniaPhiladelphiaPA
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21
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Khatana SAM, Hanff TC, Nathan AS, Dayoub EJ, Grandin EW, Rame JE, Fanaroff AC, Giri J, Groeneveld PW. Association of Health Insurance Payer Type and Outcomes After Durable Left Ventricular Assist Device Implantation: An Analysis of the STS-INTERMACS Registry. Circ Heart Fail 2021; 14:e008277. [PMID: 33993721 DOI: 10.1161/circheartfailure.120.008277] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Due to the high cost of left ventricular assist device (LVAD) therapy, payer type may be an important factor in determining eligibility. How payer type influences outcomes after LVAD implantation is unclear. We, therefore, aimed to study the association of health insurance payer type with outcomes after durable LVAD implantation. METHODS Using STS-INTERMACS (Society of Thoracic Surgeons-Interagency Registry for Mechanically Assisted Circulatory Support), we studied nonelderly adults receiving a durable LVAD from 2016 to 2018 and compared all-cause mortality and postindex hospitalization adverse event episode rate by payer type. Multivariable Fine-Gray and generalized linear models were used to compare the outcomes. RESULTS Of the 3251 patients included, 26.0% had Medicaid, 24.9% had Medicare alone, and 49.1% had commercial insurance. Compared with commercially insured patients, mortality did not differ for patients with Medicaid (subdistribution hazard ratio, 1.00 [95% CI, 0.75-1.34], P=0.99) or Medicare (subdistribution hazard ratio, 1.09 [95% CI, 0.84-1.41], P=0.52). Medicaid was associated with a significantly lower adjusted incidence rate (incidence rate ratio, 0.88 [95% CI, 0.78-0.99], P=0.041), and Medicare was associated with a significantly higher adjusted incidence rate (incidence rate ratio, 1.16 [95% CI, 1.03-1.30], P=0.011) of adverse event episodes compared with commercially insured patients. CONCLUSIONS All-cause mortality after durable LVAD implantation did not differ significantly by payer type. Payer type was associated with the rate of adverse events, with Medicaid associated with a significantly lower rate, and Medicare with a significantly higher rate of adverse event episodes compared with commercially insured patients.
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Affiliation(s)
- Sameed Ahmed M Khatana
- Division of Cardiovascular Medicine (S.A.M.K., T.C.H., A.S.N., E.J.D., A.C.F., J.G.), Perelman School of Medicine, University of Pennsylvania, PA.,Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center (S.A.M.K., T.C.H., A.S.N., E.J.D., A.C.F., J.G., P.W.G.), Perelman School of Medicine, University of Pennsylvania, PA.,The Leonard Davis Institute of Health Economics (S.A.M.K., A.S.N., E.J.D., A.C.F., J.G., P.W.G.), Perelman School of Medicine, University of Pennsylvania, PA
| | - Thomas C Hanff
- Division of Cardiovascular Medicine (S.A.M.K., T.C.H., A.S.N., E.J.D., A.C.F., J.G.), Perelman School of Medicine, University of Pennsylvania, PA.,Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center (S.A.M.K., T.C.H., A.S.N., E.J.D., A.C.F., J.G., P.W.G.), Perelman School of Medicine, University of Pennsylvania, PA
| | - Ashwin S Nathan
- Division of Cardiovascular Medicine (S.A.M.K., T.C.H., A.S.N., E.J.D., A.C.F., J.G.), Perelman School of Medicine, University of Pennsylvania, PA.,Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center (S.A.M.K., T.C.H., A.S.N., E.J.D., A.C.F., J.G., P.W.G.), Perelman School of Medicine, University of Pennsylvania, PA.,The Leonard Davis Institute of Health Economics (S.A.M.K., A.S.N., E.J.D., A.C.F., J.G., P.W.G.), Perelman School of Medicine, University of Pennsylvania, PA
| | - Elias J Dayoub
- Division of Cardiovascular Medicine (S.A.M.K., T.C.H., A.S.N., E.J.D., A.C.F., J.G.), Perelman School of Medicine, University of Pennsylvania, PA.,Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center (S.A.M.K., T.C.H., A.S.N., E.J.D., A.C.F., J.G., P.W.G.), Perelman School of Medicine, University of Pennsylvania, PA.,The Leonard Davis Institute of Health Economics (S.A.M.K., A.S.N., E.J.D., A.C.F., J.G., P.W.G.), Perelman School of Medicine, University of Pennsylvania, PA
| | - E Wilson Grandin
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology (E.W.G.), Beth Israel Deaconess Medical Center, Boston, MA.,Division of Cardiology (E.W.G.), Beth Israel Deaconess Medical Center, Boston, MA
| | - J Eduardo Rame
- Jefferson Heart Institute, Thomas Jefferson University Hospital, Pennsylvania, PA (J.E.R.)
| | - Alexander C Fanaroff
- Division of Cardiovascular Medicine (S.A.M.K., T.C.H., A.S.N., E.J.D., A.C.F., J.G.), Perelman School of Medicine, University of Pennsylvania, PA.,Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center (S.A.M.K., T.C.H., A.S.N., E.J.D., A.C.F., J.G., P.W.G.), Perelman School of Medicine, University of Pennsylvania, PA.,The Leonard Davis Institute of Health Economics (S.A.M.K., A.S.N., E.J.D., A.C.F., J.G., P.W.G.), Perelman School of Medicine, University of Pennsylvania, PA
| | - Jay Giri
- Division of Cardiovascular Medicine (S.A.M.K., T.C.H., A.S.N., E.J.D., A.C.F., J.G.), Perelman School of Medicine, University of Pennsylvania, PA.,Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center (S.A.M.K., T.C.H., A.S.N., E.J.D., A.C.F., J.G., P.W.G.), Perelman School of Medicine, University of Pennsylvania, PA.,The Leonard Davis Institute of Health Economics (S.A.M.K., A.S.N., E.J.D., A.C.F., J.G., P.W.G.), Perelman School of Medicine, University of Pennsylvania, PA
| | - Peter W Groeneveld
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center (S.A.M.K., T.C.H., A.S.N., E.J.D., A.C.F., J.G., P.W.G.), Perelman School of Medicine, University of Pennsylvania, PA.,The Leonard Davis Institute of Health Economics (S.A.M.K., A.S.N., E.J.D., A.C.F., J.G., P.W.G.), Perelman School of Medicine, University of Pennsylvania, PA.,Division of General Internal Medicine, Perelman School of Medicine (P.W.G.), Perelman School of Medicine, University of Pennsylvania, PA.,Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Pennsylvania, PA (P.W.G.)
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Abstract
Background PCSK9 (proprotein convertase subtilisin/kexin type 9) inhibitors represent a promising class of lipid‐lowering therapy, although their use has been limited by cost concerns. Methods and Results A retrospective cohort study was conducted using a nationwide commercial claims database comprising patients with atherosclerotic cardiovascular disease (ASCVD), aged 18 to 64 years. We identified the number of patients with ASCVD started on a PCSK9 inhibitor from the dates of US Food and Drug Administration approval in quarter 3 2015 through quarter 2 2019. Secondary objectives identified the proportions of patients started on a PCSK9 inhibitor in various ASCVD risk groups based on statin use and baseline low‐density lipoprotein cholesterol. We identified 126 419 patients with ASCVD on either PCSK9 inhibitor or statin therapy. Among these patients, 1168 (0.9%) filled a prescription for a PCSK9 inhibitor. The number of patients initiating a PCSK9 inhibitor increased from 2 patients in quarter 3 2015 to 119 patients in quarter 2 2019, corresponding to an increase from 0.05% to 2.5% of patients with ASCVD already on statins who started PCSK9 inhibitor therapy. Of patients with ASCVD with high adherence to a high‐intensity statin, 13 643 had low‐density lipoprotein cholesterol ≥70 mg/dL, and in this subgroup, 119 (0.9%) patients initiated a PCSK9 inhibitor. Conclusions Few patients started PCSK9 inhibitors from 2015 through mid‐2019, despite increasing trial evidence of efficacy, guidelines recommending PCSK9 inhibitors in high‐risk patients with ASCVD, and price reductions during this period. The magnitude of price reductions may not yet be sufficient to influence use management strategies aimed to limit PCSK9 inhibitor use.
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Affiliation(s)
- Elias J Dayoub
- Division of Cardiovascular Medicine Hospital of the University of Pennsylvania Philadelphia PA.,Department of Medicine Hospital of the University of Pennsylvania Philadelphia PA.,Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA.,Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA
| | - Lauren A Eberly
- Division of Cardiovascular Medicine Hospital of the University of Pennsylvania Philadelphia PA.,Department of Medicine Hospital of the University of Pennsylvania Philadelphia PA.,Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA.,Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA
| | - Ashwin S Nathan
- Division of Cardiovascular Medicine Hospital of the University of Pennsylvania Philadelphia PA.,Department of Medicine Hospital of the University of Pennsylvania Philadelphia PA.,Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA.,Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA
| | - Sameed Ahmed M Khatana
- Division of Cardiovascular Medicine Hospital of the University of Pennsylvania Philadelphia PA.,Department of Medicine Hospital of the University of Pennsylvania Philadelphia PA.,Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA.,Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA.,Michael J. Crescenz Veterans Affairs Medical Center Philadelphia PA
| | - Srinath Adusumalli
- Division of Cardiovascular Medicine Hospital of the University of Pennsylvania Philadelphia PA.,Department of Medicine Hospital of the University of Pennsylvania Philadelphia PA.,Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA.,Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA
| | - Ann Marie Navar
- Duke Clinical Research InstituteDuke University School of Medicine Durham NC
| | - Jay Giri
- Division of Cardiovascular Medicine Hospital of the University of Pennsylvania Philadelphia PA.,Department of Medicine Hospital of the University of Pennsylvania Philadelphia PA.,Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA.,Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA.,Michael J. Crescenz Veterans Affairs Medical Center Philadelphia PA
| | - Peter W Groeneveld
- Department of Medicine Hospital of the University of Pennsylvania Philadelphia PA.,Center for Cardiovascular Outcomes, Quality, and Evaluative Research University of Pennsylvania Philadelphia PA.,Leonard Davis Institute of Health Economics at the University of Pennsylvania Philadelphia PA.,Michael J. Crescenz Veterans Affairs Medical Center Philadelphia PA
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23
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Eberly LA, Yang L, Eneanya ND, Essien U, Julien H, Nathan AS, Khatana SAM, Dayoub EJ, Fanaroff AC, Giri J, Groeneveld PW, Adusumalli S. Association of Race/Ethnicity, Gender, and Socioeconomic Status With Sodium-Glucose Cotransporter 2 Inhibitor Use Among Patients With Diabetes in the US. JAMA Netw Open 2021; 4:e216139. [PMID: 33856475 PMCID: PMC8050743 DOI: 10.1001/jamanetworkopen.2021.6139] [Citation(s) in RCA: 177] [Impact Index Per Article: 59.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
IMPORTANCE Sodium-glucose cotransporter 2 (SGLT2) inhibitors significantly reduce deaths from cardiovascular conditions, hospitalizations for heart failure, and progression of kidney disease among patients with type 2 diabetes. Black individuals have a disproportionate burden of cardiovascular and chronic kidney disease (CKD). Adoption of novel therapeutics has been slower among Black and female patients and among patients with low socioeconomic status than among White or male patients or patients with higher socioeconomic status. OBJECTIVE To assess whether inequities based on race/ethnicity, gender, and socioeconomic status exist in SGLT2 inhibitor use among patients with type 2 diabetes in the US. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study of commercially insured patients in the US was performed from October 1, 2015, to June 30, 2019, using the Optum Clinformatics Data Mart. Adult patients with a diagnosis of type 2 diabetes, including those with heart failure with reduced ejection fraction (HFrEF), atherosclerotic cardiovascular disease (ASCVD), or CKD, were evaluated in the analysis. MAIN OUTCOMES AND MEASURES Prescription of an SGLT2 inhibitor. Multivariable logistic regression models were used to assess the association of race/ethnicity, gender, and socioeconomic status with SGLT2 inhibitor use. RESULTS Of 934 737 patients with type 2 diabetes (mean [SD] age, 65.4 [12.9] years; 50.7% female; 57.6% White), 81 007 (8.7%) were treated with an SGLT2 inhibitor during the study period. Between 2015 and 2019, the percentage of patients with type 2 diabetes treated with an SGLT2 inhibitor increased from 3.8% to 11.9%. Among patients with type 2 diabetes and cardiovascular or kidney disease, the rate of SGLT2 inhibitor use increased but was lower than that among all patients with type 2 diabetes (HFrEF: 1.9% to 7.6%; ASCVD: 3.0% to 9.8%; CKD: 2.1% to 7.5%). In multivariable analyses, Black race (adjusted odds ratio [aOR], 0.83; 95% CI, 0.81-0.85), Asian race (aOR, 0.94; 95% CI, 0.90-0.98), and female gender (aOR, 0.84; 95% CI, 0.82-0.85) were associated with lower rates of SGLT2 inhibitor use, whereas higher median household income (≥$100 000: aOR, 1.08 [95% CI, 1.05-1.10]; $50 000-$99 999: aOR, 1.05 [95% CI, 1.03-1.07] vs <$50 000) was associated with a higher rate of SGLT2 inhibitor use. These results were similar among patients with HFrEF, ASCVD, and CKD. CONCLUSIONS AND RELEVANCE In this cohort study, use of an SGLT2 inhibitor treatment increased among patients with type 2 diabetes from 2015 to 2019 but remained low, particularly among patients with HFrEF, CKD, and ASCVD. Black and female patients and patients with low socioeconomic status were less likely to receive an SGLT2 inhibitor, suggesting that interventions to ensure more equitable use are essential to prevent worsening of well-documented disparities in cardiovascular and kidney outcomes in the US.
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Affiliation(s)
- Lauren A. Eberly
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia
- Penn Cardiovascular Center for Health Equity and Social Justice, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics at the University of Pennsylvania, Philadelphia
| | - Lin Yang
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia
| | - Nwamaka D. Eneanya
- Leonard Davis Institute of Health Economics at the University of Pennsylvania, Philadelphia
- Renal-Electrolyte and Hypertension Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Utibe Essien
- Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania
| | - Howard Julien
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia
- Penn Cardiovascular Center for Health Equity and Social Justice, University of Pennsylvania, Philadelphia
| | - Ashwin S. Nathan
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics at the University of Pennsylvania, Philadelphia
| | - Sameed Ahmed M. Khatana
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia
- Penn Cardiovascular Center for Health Equity and Social Justice, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics at the University of Pennsylvania, Philadelphia
- Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Elias J. Dayoub
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia
| | - Alexander C. Fanaroff
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics at the University of Pennsylvania, Philadelphia
| | - Jay Giri
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics at the University of Pennsylvania, Philadelphia
| | - Peter W. Groeneveld
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics at the University of Pennsylvania, Philadelphia
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
- Division of General Internal Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
| | - Srinath Adusumalli
- Cardiovascular Division, Perelman School of Medicine at the University of Pennsylvania, Philadelphia
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia
- Penn Cardiovascular Center for Health Equity and Social Justice, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics at the University of Pennsylvania, Philadelphia
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24
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Dayoub EJ, Nathan AS, Khatana SAM, Wadhera RK, Kolansky DM, Yeh RW, Giri J, Groeneveld PW. Trends in Coded Indications for Percutaneous Coronary Interventions in Medicare and the Veterans Affairs After Implementation of Hospital-Level Reporting of Appropriate Use Criteria. Circ Cardiovasc Qual Outcomes 2021; 14:e006887. [PMID: 33719490 DOI: 10.1161/circoutcomes.120.006887] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND In 2009, the American College of Cardiology and American Heart Association published Appropriate Use Criteria for Coronary Revascularization (AUC) to aid patient selection for percutaneous coronary intervention (PCI). The subsequent decline in inappropriate PCIs was interpreted as a success of AUC. However, there are concerns clinicians reclassify nonacute PCIs to acute indications to fulfill AUC. METHODS A longitudinal, observational difference-in-differences analysis was performed using administrative claims from US Department of Veterans Affairs (VA) beneficiaries coenrolled in Medicare and from a national random sample of Medicare beneficiaries, undergoing PCI from September 30, 2009, to December 31, 2013. Non-VA hospitals participating in the American College of Cardiology CathPCI registry began receiving AUC reports in 2011, while VA hospitals did not receive reports, serving as quasiexperimental and control cohorts, respectively. We measured the proportion of PCIs coded for acute myocardial infarction, unstable angina, and nonacute coronary syndrome indications by quarter. RESULTS There were 87 464 and 30 251 PCIs performed in the Medicare and VA cohorts, respectively. In Medicare, proportion of PCIs coded for acute myocardial infarction and unstable angina changed from 31.9% and 12.6% in quarter 4 2009 to 41.0% and 10.5% in quarter 4 2013, an associated 2.00% (95% CI, 1.56%-2.44%; P<0.001) increase per year in PCIs coded for acute coronary syndrome indications. In the VA, proportion of PCIs coded for acute myocardial infarction and unstable angina changed from 26.5% and 15.7% in quarter 4 2009 to 34.3% and 12.3% in quarter 4 2013, an associated 1.20% (95% CI, 0.56%-1.88%; P=0.001) increase per year in PCIs coded for acute coronary syndrome indications. Difference-in-differences modeling found no statistically significant change in PCI coded for acute indications between Medicare and VA, pre- and post-AUC reporting. CONCLUSIONS After introduction of AUC assessments and reporting, we observed comparable increases in coding for acute myocardial infarction and corresponding decreases in coding for unstable angina and nonacute coronary syndrome indications among national cohorts of Medicare and VA enrollees. The provision of appropriate use reporting did not appear to have a substantial impact on the proportion of PCIs coded for acute indications during this study period.
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Affiliation(s)
- Elias J Dayoub
- Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (E.J.D., J.G., P.W.G.).,Center for Cardiovascular Outcomes, Quality, and Evaluative Research (E.J.D., A.S.N., S.A.M.K., J.G., P.W.G.), University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics (E.J.D., A.S.N., S.A.M.K., J.G., P.W.G.), University of Pennsylvania, Philadelphia.,Division of Cardiovascular Medicine (E.J.D., A.S.N., S.A.M.K., D.M.K., J.G.), Hospital of the University of Pennsylvania, Philadelphia.,Department of Medicine (E.J.D., A.S.N., S.A.M.K., D.M.K., J.G., P.W.G.), Hospital of the University of Pennsylvania, Philadelphia
| | - Ashwin S Nathan
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research (E.J.D., A.S.N., S.A.M.K., J.G., P.W.G.), University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics (E.J.D., A.S.N., S.A.M.K., J.G., P.W.G.), University of Pennsylvania, Philadelphia.,Division of Cardiovascular Medicine (E.J.D., A.S.N., S.A.M.K., D.M.K., J.G.), Hospital of the University of Pennsylvania, Philadelphia.,Department of Medicine (E.J.D., A.S.N., S.A.M.K., D.M.K., J.G., P.W.G.), Hospital of the University of Pennsylvania, Philadelphia
| | - Sameed Ahmed M Khatana
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research (E.J.D., A.S.N., S.A.M.K., J.G., P.W.G.), University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics (E.J.D., A.S.N., S.A.M.K., J.G., P.W.G.), University of Pennsylvania, Philadelphia.,Division of Cardiovascular Medicine (E.J.D., A.S.N., S.A.M.K., D.M.K., J.G.), Hospital of the University of Pennsylvania, Philadelphia.,Department of Medicine (E.J.D., A.S.N., S.A.M.K., D.M.K., J.G., P.W.G.), Hospital of the University of Pennsylvania, Philadelphia
| | - Rishi K Wadhera
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA (R.K.W., R.W.Y.)
| | - Daniel M Kolansky
- Division of Cardiovascular Medicine (E.J.D., A.S.N., S.A.M.K., D.M.K., J.G.), Hospital of the University of Pennsylvania, Philadelphia.,Department of Medicine (E.J.D., A.S.N., S.A.M.K., D.M.K., J.G., P.W.G.), Hospital of the University of Pennsylvania, Philadelphia
| | - Robert W Yeh
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA (R.K.W., R.W.Y.)
| | - Jay Giri
- Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (E.J.D., J.G., P.W.G.).,Center for Cardiovascular Outcomes, Quality, and Evaluative Research (E.J.D., A.S.N., S.A.M.K., J.G., P.W.G.), University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics (E.J.D., A.S.N., S.A.M.K., J.G., P.W.G.), University of Pennsylvania, Philadelphia.,Division of Cardiovascular Medicine (E.J.D., A.S.N., S.A.M.K., D.M.K., J.G.), Hospital of the University of Pennsylvania, Philadelphia.,Department of Medicine (E.J.D., A.S.N., S.A.M.K., D.M.K., J.G., P.W.G.), Hospital of the University of Pennsylvania, Philadelphia
| | - Peter W Groeneveld
- Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (E.J.D., J.G., P.W.G.).,Center for Cardiovascular Outcomes, Quality, and Evaluative Research (E.J.D., A.S.N., S.A.M.K., J.G., P.W.G.), University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics (E.J.D., A.S.N., S.A.M.K., J.G., P.W.G.), University of Pennsylvania, Philadelphia.,Department of Medicine (E.J.D., A.S.N., S.A.M.K., D.M.K., J.G., P.W.G.), Hospital of the University of Pennsylvania, Philadelphia
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Khatana SAM, Venkataramani AS, Nathan AS, Dayoub EJ, Eberly LA, Kazi DS, Yeh RW, Mitra N, Subramanian SV, Groeneveld PW. Association Between County-Level Change in Economic Prosperity and Change in Cardiovascular Mortality Among Middle-aged US Adults. JAMA 2021; 325:445-453. [PMID: 33528535 PMCID: PMC7856543 DOI: 10.1001/jama.2020.26141] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
IMPORTANCE After a decline in cardiovascular mortality for nonelderly US adults, recent stagnation has occurred alongside rising income inequality. Whether this is associated with underlying economic trends is unclear. OBJECTIVE To assess the association between changes in economic prosperity and trends in cardiovascular mortality in middle-aged US adults. DESIGN, SETTING, AND PARTICIPANTS Retrospective analysis of the association between change in 7 markers of economic prosperity in 3123 US counties and county-level cardiovascular mortality among 40- to 64-year-old adults (102 660 852 individuals in 2010). EXPOSURES Mean rank for change in 7 markers of economic prosperity between 2 time periods (baseline: 2007-2011 and follow-up: 2012-2016). A higher mean rank indicates a greater relative increase or lower relative decrease in prosperity (range, 5 to 92; mean [SD], 50 [14]). MAIN OUTCOMES AND MEASURES Mean annual percentage change (APC) in age-adjusted cardiovascular mortality rates. Generalized linear mixed-effects models were used to estimate the additional APC associated with a change in prosperity. RESULTS Among 102 660 852 residents aged 40 to 64 years living in these counties in 2010 (51% women), 979 228 cardiovascular deaths occurred between 2010 and 2017. Age-adjusted cardiovascular mortality rates did not change significantly between 2010 and 2017 in counties in the lowest tertile for change in economic prosperity (mean [SD], 114.1 [47.9] to 116.1 [52.7] deaths per 100 000 individuals; APC, 0.2% [95% CI, -0.3% to 0.7%]). Mortality decreased significantly in the intermediate tertile (mean [SD], 104.7 [38.8] to 101.9 [41.5] deaths per 100 000 individuals; APC, -0.4% [95% CI, -0.8% to -0.1%]) and highest tertile for change in prosperity (100.0 [37.9] to 95.1 [39.1] deaths per 100 000 individuals; APC, -0.5% [95% CI, -0.9% to -0.1%]). After accounting for baseline prosperity and demographic and health care-related variables, a 10-point higher mean rank for change in economic prosperity was associated with 0.4% (95% CI, 0.2% to 0.6%) additional decrease in mortality per year. CONCLUSIONS AND RELEVANCE In this retrospective study of US county-level mortality data from 2010 to 2017, a relative increase in county-level economic prosperity was significantly associated with a small relative decrease in cardiovascular mortality among middle-aged adults. Individual-level inferences are limited by the ecological nature of the study.
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Affiliation(s)
- Sameed Ahmed M. Khatana
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Atheendar S. Venkataramani
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
- Department of Medical Ethics and Health Policy, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Ashwin S. Nathan
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Elias J. Dayoub
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Lauren A. Eberly
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Dhruv S. Kazi
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Robert W. Yeh
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Nandita Mitra
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | | | - Peter W. Groeneveld
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
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Khatana SAM, Grandin EW, Rame JE, Shen C, Yeh RW, Groeneveld PW. Medicaid Expansion and Ventricular Assist Device Implantation: An Analysis of the INTERMACS Registry. J Am Coll Cardiol 2021; 76:1501-1502. [PMID: 32943168 DOI: 10.1016/j.jacc.2020.07.046] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 06/08/2020] [Accepted: 07/07/2020] [Indexed: 10/23/2022]
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Nathan AS, Yang L, Geng Z, Dayoub EJ, Khatana SAM, Fiorilli PN, Herrmann HC, Szeto WY, Atluri P, Acker MA, Desai ND, Frankel DS, Marchlinski FE, Fanaroff AC, Giri J, Groeneveld PW. Oral anticoagulant use in patients with atrial fibrillation and mitral valve repair. Am Heart J 2021; 232:1-9. [PMID: 33214129 DOI: 10.1016/j.ahj.2020.10.056] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 10/15/2020] [Indexed: 11/18/2022]
Abstract
BACKGROUND Patients with atrial fibrillation (AF) who have undergone mitral valve repair are at risk for thromboembolic strokes. Prior to 2019, only vitamin K antagonists were recommended for patients with AF who had undergone mitral valve repair despite the introduction of direct oral anticoagulants (DOAC) in 2010. OBJECTIVE To characterize the use of anticoagulants in patients with AF who underwent surgical mitral valve repair (sMVR) or transcatheter mitral valve repair (tMVR). METHODS We performed a retrospective cohort analysis of patients with AF undergoing sMVR or tMVR between 04/2014 and 12/2018 using Optum's de-identified Clinformatics® Data Mart Database. We identified anticoagulants prescribed within 90 days of discharge from hospitalization. RESULTS Overall, 1997 patients with AF underwent valve repair: 1560 underwent sMVR, and 437 underwent tMVR. The mean CHA2DS2-VASc score among all patients was 4.1 (SD 1.9). The overall use of anticoagulation was unchanged between 2014 (72.2%) and 2018 (70.0%) (P = .49). Among patients who underwent sMVR or tMVR between April 2014 and December 2018, the use of VKA therapy decreased from 62.9% to 32.1% (P < .01 for trend) and the use of DOACs increased from 12.4% to 37.3% (P < .01 for trend). CONCLUSIONS Among patients with AF who underwent sMVR or tMVR between 2014 and 2018, roughly 30% of patients were not treated with any anticoagulant within 90 days of discharge, despite an elevated stroke risk in the cohort. The rate of DOAC use increased steadily over the study period but did not significantly increase the rate of overall anticoagulant use in this high-risk cohort.
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Affiliation(s)
- Ashwin S Nathan
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA.
| | - Lin Yang
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA
| | - Zhi Geng
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA
| | - Elias J Dayoub
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA; Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
| | - Sameed Ahmed M Khatana
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA
| | - Paul N Fiorilli
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Howard C Herrmann
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Wilson Y Szeto
- Division of Cardiac Surgery, Penn Presbyterian Medical Center, Philadelphia, PA
| | - Pavan Atluri
- Division of Cardiac Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Michael A Acker
- Division of Cardiac Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Nimesh D Desai
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA; Division of Cardiac Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - David S Frankel
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Francis E Marchlinski
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Alexander C Fanaroff
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA
| | - Jay Giri
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia, PA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA
| | - Peter W Groeneveld
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA; Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia, PA; Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA; Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA
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Nathan AS, Xiang Q, Wojdyla D, Khatana SAM, Dayoub EJ, Wadhera RK, Bhatt DL, Kolansky DM, Kirtane AJ, Rao SV, Yeh RW, Groeneveld PW, Wang TY, Giri J. Performance of Hospitals When Assessing Disease-Based Mortality Compared With Procedural Mortality for Patients With Acute Myocardial Infarction. JAMA Cardiol 2021; 5:765-772. [PMID: 32347890 DOI: 10.1001/jamacardio.2020.0753] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Importance Quality of percutaneous coronary intervention (PCI) is commonly assessed by risk-adjusted mortality. However, this metric may result in procedural risk aversion, especially for high-risk patients. Objective To determine correlation and reclassification between hospital-level disease-specific mortality and PCI procedural mortality among patients with acute myocardial infarction (AMI). Design, Setting, and Participants This hospital-level observational cross-sectional multicenter analysis included hospitals participating in the Chest Pain-MI Registry, which enrolled consecutive adult patients admitted with a diagnosis of type I non-ST-segment elevation myocardial infarction (NSTEMI) or ST-segment elevation myocardial infarction (STEMI), and hospitals in the CathPCI Registry, which enrolled consecutive adult patients treated with PCI with an indication of NSTEMI or STEMI, between April 1, 2011, and December 31, 2017. Exposures Inclusion into the National Cardiovascular Data Registry Chest Pain-MI and CathPCI registries. Main Outcomes and Measures For each hospital in each registry, a disease-based excess mortality ratio (EMR-D) for AMI was calculated, which represents a risk-adjusted observed to expected rate of mortality for AMI as a disease using the Chest Pain-MI Registry, and a procedure-based excess mortality ratio (EMR-P) for PCI was calculated using the CathPCI Registry. Results A subset of 625 sites participated in both registries, with a final count of 776 890 patients from the Chest Pain-MI Registry (509 576 men [65.6%]; 620 981 white [80.0%]; and median age, 64 years [interquartile range, 55-74 years]) and 853 386 patients from the CathPCI Registry (582 701 men [68.3%]; 691 236 white [81.0%]; and median age, 63 years [interquartile range, 54-73 years]). Among the 625 linked hospitals, the Spearman rank correlation coefficient between EMR-D and EMR-P produced a ρ of 0.53 (95% CI, 0.47-0.58), suggesting moderate correlation. Among the highest-performing tertile for disease-based risk-adjusted mortality, 90 of 208 sites (43.3%) were classified into a lower category for procedural risk-adjusted mortality. Among the lowest-performing tertile for disease-based risk-adjusted mortality, 92 of 208 sites (44.2%) were classified into a higher category for procedural risk-adjusted mortality. Bland-Altman plots for the overall linked cohort demonstrate a mean difference between EMR-P and EMR-D of 0.49% (95% CI, -1.61% to 2.58%; P < .001), with procedural mortality higher than disease-based mortality. However, among patients with AMI complicated by cardiogenic shock or cardiac arrest, the mean difference between EMR-P and EMR-D was -0.64% (95% CI, -4.41% to 3.12%; P < .001), with procedural mortality lower than disease-based mortality. Conclusions and Relevance This study suggests that, for hospitals treating patients with AMI, there is only a moderate correlation between procedural outcomes and disease-based outcomes. Nearly half of hospitals in the highest tertile of performance for PCI performance were reclassified into a lower performance tertile when judged by disease-based metrics. Higher rates of mortality were observed when using disease-based metrics compared with procedural metrics when assessing patients with cardiogenic shock and/or cardiac arrest, signifying what appears to be potential risk avoidance among this highest-risk subset of patients.
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Affiliation(s)
- Ashwin S Nathan
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia
| | - Qun Xiang
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Daniel Wojdyla
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Sameed Ahmed M Khatana
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia
| | - Elias J Dayoub
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia.,Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
| | - Rishi K Wadhera
- Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts.,Richard and Susan Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Deepak L Bhatt
- Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts
| | - Daniel M Kolansky
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia
| | - Ajay J Kirtane
- Cardiovascular Division, Columbia-New York Presbyterian Hospital, New York, New York
| | - Sunil V Rao
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Robert W Yeh
- Richard and Susan Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Peter W Groeneveld
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia.,Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania.,Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Tracy Y Wang
- Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina
| | - Jay Giri
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia.,Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
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Eberly LA, Kallan MJ, Julien HM, Haynes N, Khatana SAM, Nathan AS, Snider C, Chokshi NP, Eneanya ND, Takvorian SU, Anastos-Wallen R, Chaiyachati K, Ambrose M, O’Quinn R, Seigerman M, Goldberg LR, Leri D, Choi K, Gitelman Y, Kolansky DM, Cappola TP, Ferrari VA, Hanson CW, Deleener ME, Adusumalli S. Patient Characteristics Associated With Telemedicine Access for Primary and Specialty Ambulatory Care During the COVID-19 Pandemic. JAMA Netw Open 2020; 3:e2031640. [PMID: 33372974 PMCID: PMC7772717 DOI: 10.1001/jamanetworkopen.2020.31640] [Citation(s) in RCA: 422] [Impact Index Per Article: 105.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
IMPORTANCE The coronavirus disease 2019 (COVID-19) pandemic has required a shift in health care delivery platforms, necessitating a new reliance on telemedicine. OBJECTIVE To evaluate whether inequities are present in telemedicine use and video visit use for telemedicine visits during the COVID-19 pandemic. DESIGN, SETTING, AND PARTICIPANTS In this cohort study, a retrospective medical record review was conducted from March 16 to May 11, 2020, of all patients scheduled for telemedicine visits in primary care and specialty ambulatory clinics at a large academic health system. Age, race/ethnicity, sex, language, median household income, and insurance type were all identified from the electronic medical record. MAIN OUTCOMES AND MEASURES A successfully completed telemedicine visit and video (vs telephone) visit for a telemedicine encounter. Multivariable models were used to assess the association between sociodemographic factors, including sex, race/ethnicity, socioeconomic status, and language, and the use of telemedicine visits, as well as video use specifically. RESULTS A total of 148 402 unique patients (86 055 women [58.0%]; mean [SD] age, 56.5 [17.7] years) had scheduled telemedicine visits during the study period; 80 780 patients (54.4%) completed visits. Of 78 539 patients with completed visits in which visit modality was specified, 35 824 (45.6%) were conducted via video, whereas 24 025 (56.9%) had a telephone visit. In multivariable models, older age (adjusted odds ratio [aOR], 0.85 [95% CI, 0.83-0.88] for those aged 55-64 years; aOR, 0.75 [95% CI, 0.72-0.78] for those aged 65-74 years; aOR, 0.67 [95% CI, 0.64-0.70] for those aged ≥75 years), Asian race (aOR, 0.69 [95% CI, 0.66-0.73]), non-English language as the patient's preferred language (aOR, 0.84 [95% CI, 0.78-0.90]), and Medicaid insurance (aOR, 0.93 [95% CI, 0.89-0.97]) were independently associated with fewer completed telemedicine visits. Older age (aOR, 0.79 [95% CI, 0.76-0.82] for those aged 55-64 years; aOR, 0.78 [95% CI, 0.74-0.83] for those aged 65-74 years; aOR, 0.49 [95% CI, 0.46-0.53] for those aged ≥75 years), female sex (aOR, 0.92 [95% CI, 0.90-0.95]), Black race (aOR, 0.65 [95% CI, 0.62-0.68]), Latinx ethnicity (aOR, 0.90 [95% CI, 0.83-0.97]), and lower household income (aOR, 0.57 [95% CI, 0.54-0.60] for income <$50 000; aOR, 0.89 [95% CI, 0.85-0.92], for $50 000-$100 000) were associated with less video use for telemedicine visits. These results were similar across medical specialties. CONCLUSIONS AND RELEVANCE In this cohort study of patients scheduled for primary care and medical specialty ambulatory telemedicine visits at a large academic health system during the early phase of the COVID-19 pandemic, older patients, Asian patients, and non-English-speaking patients had lower rates of telemedicine use, while older patients, female patients, Black, Latinx, and poorer patients had less video use. Inequities in accessing telemedicine care are present, which warrant further attention.
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Affiliation(s)
- Lauren A. Eberly
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia
- Penn Cardiovascular Center for Health Equity and Social Justice, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Michael J. Kallan
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Howard M. Julien
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
- Penn Cardiovascular Center for Health Equity and Social Justice, University of Pennsylvania, Philadelphia
| | - Norrisa Haynes
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
- Penn Cardiovascular Center for Health Equity and Social Justice, University of Pennsylvania, Philadelphia
| | - Sameed Ahmed M. Khatana
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Ashwin S. Nathan
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Christopher Snider
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Neel P. Chokshi
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
- Penn Center for Digital Cardiology, University of Pennsylvania, Philadelphia
| | - Nwamaka D. Eneanya
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Renal-Electrolyte and Hypertension, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
| | - Samuel U. Takvorian
- Hematology and Oncology Division, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
| | - Rebecca Anastos-Wallen
- Department of Internal Medicine, Hospital of the University of Pennsylvania, Philadelphia
| | - Krisda Chaiyachati
- Department of Internal Medicine, Hospital of the University of Pennsylvania, Philadelphia
- Penn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia
| | - Marietta Ambrose
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
- Penn Cardiovascular Center for Health Equity and Social Justice, University of Pennsylvania, Philadelphia
| | - Rupal O’Quinn
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
| | - Matthew Seigerman
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
| | - Lee R. Goldberg
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
| | - Damien Leri
- Penn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia
| | - Katherine Choi
- Penn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia
| | - Yevginiy Gitelman
- Department of Internal Medicine, Hospital of the University of Pennsylvania, Philadelphia
- Penn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia
| | - Daniel M. Kolansky
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
| | - Thomas P. Cappola
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
- Penn Cardiovascular Center for Health Equity and Social Justice, University of Pennsylvania, Philadelphia
| | - Victor A. Ferrari
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
| | - C. William Hanson
- Office of the Chief Medical Information Officer, University of Pennsylvania Health System, Philadelphia
| | - Mary Elizabeth Deleener
- Office of the Chief Medical Information Officer, University of Pennsylvania Health System, Philadelphia
| | - Srinath Adusumalli
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia
- Penn Cardiovascular Center for Health Equity and Social Justice, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
- Penn Medicine Center for Health Care Innovation, University of Pennsylvania, Philadelphia
- Office of the Chief Medical Information Officer, University of Pennsylvania Health System, Philadelphia
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Wang SY, Eberly LA, Roberto CA, Venkataramani AS, Groeneveld PW, Khatana SAM. Food Insecurity and Cardiovascular Mortality for Nonelderly Adults in the United States From 2011 to 2017: A County-Level Longitudinal Analysis. Circ Cardiovasc Qual Outcomes 2020; 14:e007473. [PMID: 33164557 DOI: 10.1161/circoutcomes.120.007473] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Stephen Y Wang
- Department of Internal Medicine, Yale-New Haven Hospital, CT (S.Y.W.)
| | - Lauren A Eberly
- Division of Cardiovascular Medicine (L.A.E., S.A.M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Christina A Roberto
- Department of Medical Ethics and Health Policy (C.A.R., A.S.V.), Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Atheendar S Venkataramani
- Department of Medical Ethics and Health Policy (C.A.R., A.S.V.), Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Peter W Groeneveld
- Division of General Internal Medicine (P.W.G.), Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Sameed Ahmed M Khatana
- Division of Cardiovascular Medicine (L.A.E., S.A.M.K.), Perelman School of Medicine, University of Pennsylvania, Philadelphia
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Nathan AS, Raman S, Yang N, Painter I, Khatana SAM, Dayoub EJ, Herrmann HC, Yeh RW, Groeneveld PW, Doll JA, McCabe JM, Hira RS, Giri J, Fanaroff AC. Association Between 90-Minute Door-to-Balloon Time, Selective Exclusion of Myocardial Infarction Cases, and Access Site Choice: Insights From the Cardiac Care Outcomes Assessment Program (COAP) in Washington State. Circ Cardiovasc Interv 2020; 13:e009179. [PMID: 32883103 DOI: 10.1161/circinterventions.120.009179] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND For patients presenting with ST-segment-elevation myocardial infarction, national quality initiatives monitor hospitals' proportion of cases with door-to-balloon (D2B) time under 90 minutes. Hospitals are allowed to exclude patients from reporting and may modify behavior to improve performance. We sought to identify whether there is a discontinuity in the number of cases included in the D2B time metric at 90 minutes and whether operators were increasingly likely to pursue femoral access in patients with less time to meet the 90-minute quality metric. METHODS Adult patients with ST-segment-elevation myocardial infarction undergoing primary percutaneous coronary intervention from 2011 to 2018 were identified from the Cardiac Care Outcomes Assessment Program, a quality improvement registry in Washington state. We used the regression discontinuity framework to test for discontinuity at 90 minutes among the included cases. We defined a novel variable, remaining D2B as 90 minutes minus the time between hospital arrival and catheterization laboratory arrival. We estimated multivariable logistic regression models to assess the relationship between remaining D2B time and access site. RESULTS A total of 19 348 patients underwent primary percutaneous coronary intervention and were included in the analysis. Overall, 7436 (38.4%) were excluded from the metric. There appeared to be a visual discontinuity in included cases around 90 minutes; however, local quadratic regression around the 90-minute cutoff did not reveal evidence of a significant discontinuity (P=0.66). Multivariable analysis showed no significant relationship between remaining D2B time and the odds of undergoing femoral access (P=0.73). CONCLUSIONS Among patients undergoing percutaneous coronary intervention for ST-segment-elevation myocardial infarction, we did not find evidence of a statistically significant discontinuity in the frequency of included cases around 90 minutes or an increased preference for femoral access correlated with decreasing time to meet the 90-minute D2B time quality metric. Together, these findings indicate no evidence of widespread inappropriate methods to improve performance on D2B time metrics.
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Affiliation(s)
- Ashwin S Nathan
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia (A.S.N., S.A.M.K., H.C.H., J.G., A.C.F.).,Leonard Davis Institute of Health Economics (A.S.N., S.A.M.K., E.J.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia, PA.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.N., S.A.M.K., E.J.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia, PA
| | - Swathi Raman
- College of Arts and Sciences (S.R., N.Y.), University of Pennsylvania, Philadelphia, PA
| | - Nancy Yang
- College of Arts and Sciences (S.R., N.Y.), University of Pennsylvania, Philadelphia, PA
| | - Ian Painter
- Division of Cardiology, University of Washington, Seattle (I.P., J.A.D., J.M.M., R.S.H.)
| | - Sameed Ahmed M Khatana
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia (A.S.N., S.A.M.K., H.C.H., J.G., A.C.F.).,Leonard Davis Institute of Health Economics (A.S.N., S.A.M.K., E.J.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia, PA.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.N., S.A.M.K., E.J.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia, PA
| | - Elias J Dayoub
- Leonard Davis Institute of Health Economics (A.S.N., S.A.M.K., E.J.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia, PA.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.N., S.A.M.K., E.J.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia, PA.,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (E.J.D., P.W.G., J.G.)
| | - Howard C Herrmann
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia (A.S.N., S.A.M.K., H.C.H., J.G., A.C.F.)
| | - Robert W Yeh
- Richard and Susan Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, MA (R.W.Y.)
| | - Peter W Groeneveld
- Leonard Davis Institute of Health Economics (A.S.N., S.A.M.K., E.J.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia, PA.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.N., S.A.M.K., E.J.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia, PA.,Division of General Internal Medicine, Perelman School of Medicine (P.W.G.), University of Pennsylvania, Philadelphia, PA.,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (E.J.D., P.W.G., J.G.)
| | - Jacob A Doll
- Division of Cardiology, University of Washington, Seattle (I.P., J.A.D., J.M.M., R.S.H.)
| | - James M McCabe
- Division of Cardiology, University of Washington, Seattle (I.P., J.A.D., J.M.M., R.S.H.).,Foundation for Health Care Quality, Seattle, WA (J.M.M., R.S.H.)
| | - Ravi S Hira
- Division of Cardiology, University of Washington, Seattle (I.P., J.A.D., J.M.M., R.S.H.).,Foundation for Health Care Quality, Seattle, WA (J.M.M., R.S.H.)
| | - Jay Giri
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia (A.S.N., S.A.M.K., H.C.H., J.G., A.C.F.).,Leonard Davis Institute of Health Economics (A.S.N., S.A.M.K., E.J.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia, PA.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.N., S.A.M.K., E.J.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia, PA.,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (E.J.D., P.W.G., J.G.)
| | - Alexander C Fanaroff
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia (A.S.N., S.A.M.K., H.C.H., J.G., A.C.F.).,Leonard Davis Institute of Health Economics (A.S.N., S.A.M.K., E.J.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia, PA.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.N., S.A.M.K., E.J.D., P.W.G., J.G., A.C.F.), University of Pennsylvania, Philadelphia, PA
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Khatana SAM, Wadhera RK, Choi E, Groeneveld PW, Culhane DP, Kushel M, Kazi DS, Yeh RW, Shen C. Association of Homelessness with Hospital Readmissions-an Analysis of Three Large States. J Gen Intern Med 2020; 35:2576-2583. [PMID: 32556872 PMCID: PMC7458973 DOI: 10.1007/s11606-020-05946-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 05/28/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND Individuals experiencing homelessness have higher hospitalization and mortality rates compared with the housed. Whether they also experience higher readmission rates, and if readmissions vary by region or cause of hospitalization is unknown. OBJECTIVE Evaluate the association of homelessness with readmission rates across multiple US states. DESIGN Retrospective analysis of administrative claims PATIENTS: All inpatient hospitalizations in Florida, Massachusetts, and New York from January 2010 to October 2015 MAIN MEASURES: Thirty- and 90-day readmission rates KEY RESULTS: Out of a total of 23,103,125 index hospitalizations, 515,737 were for patients who were identified as homeless at the time of discharge. After adjusting for cause of index hospitalization, state, demographics, and clinical comorbidities, 30-day and 90-day readmission rates were higher for index hospitalizations in the homeless compared with those in the housed group. The difference in 30-day readmission rates between homeless and housed groups was the largest in Florida (30.4% vs. 19.3%; p < 0.001), followed by Massachusetts (23.5% vs. 15.2%; p < 0.001) and New York (15.7% vs. 13.4%; p < 0.001) (combined 17.3% vs. 14.0%; p < 0.001). Among the most common causes of hospitalization, 30-day readmission rates were 4.1 percentage points higher for the homeless group for mental illness, 4.9 percentage points higher for diseases of the circulatory system, and 2.4 percentage points higher for diseases of the digestive system. CONCLUSIONS After adjusting for demographic and clinical characteristics, homelessness is associated with significantly higher 30- and 90-day readmission rates, with a significant variation across the three states. Interventions to reduce the burden of readmissions among individuals experiencing homelessness are urgently needed. Differences across states point to the potential of certain public policies to impact health outcomes for individuals experiencing homelessness.
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Affiliation(s)
- Sameed Ahmed M Khatana
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA, 19104-5162, USA. .,Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. .,The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
| | - Rishi K Wadhera
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Eunhee Choi
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Peter W Groeneveld
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.,Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA, USA
| | - Dennis P Culhane
- School of Social Policy & Practice, University of Pennsylvania, Philadelphia, PA, USA
| | - Margot Kushel
- Division of General Internal Medicine at San Francisco General Hospital, University of California, San Francisco, San Francisco, CA, USA
| | - Dhruv S Kazi
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Robert W Yeh
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Changyu Shen
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
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Affiliation(s)
- Lauren A. Eberly
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia (L.A.E., S.A.M.K., A.S.N., H.M.J., S.A.)
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia (L.A.E., S.A.M.K., A.S.N., S.A.)
| | - Sameed Ahmed M. Khatana
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia (L.A.E., S.A.M.K., A.S.N., H.M.J., S.A.)
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia (L.A.E., S.A.M.K., A.S.N., S.A.)
| | - Ashwin S. Nathan
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia (L.A.E., S.A.M.K., A.S.N., H.M.J., S.A.)
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia (L.A.E., S.A.M.K., A.S.N., S.A.)
| | - Christopher Snider
- Office of the Chief Medical Information Officer, University of Pennsylvania Health System, Philadelphia (C.S., M.E.D., S.A.)
| | - Howard M. Julien
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia (L.A.E., S.A.M.K., A.S.N., H.M.J., S.A.)
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (H.M.J.)
| | - Mary Elizabeth Deleener
- Office of the Chief Medical Information Officer, University of Pennsylvania Health System, Philadelphia (C.S., M.E.D., S.A.)
| | - Srinath Adusumalli
- Division of Cardiovascular Medicine, Department of Medicine, Hospital of the University of Pennsylvania, Philadelphia (L.A.E., S.A.M.K., A.S.N., H.M.J., S.A.)
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia (L.A.E., S.A.M.K., A.S.N., S.A.)
- Office of the Chief Medical Information Officer, University of Pennsylvania Health System, Philadelphia (C.S., M.E.D., S.A.)
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Khatana SAM, Groeneveld PW. Health Disparities and the Coronavirus Disease 2019 (COVID-19) Pandemic in the USA. J Gen Intern Med 2020; 35:2431-2432. [PMID: 32462564 PMCID: PMC7251802 DOI: 10.1007/s11606-020-05916-w] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 05/06/2020] [Indexed: 11/24/2022]
Affiliation(s)
- Sameed Ahmed M Khatana
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. .,The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
| | - Peter W Groeneveld
- The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.,Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Selvaraj S, Greene SJ, Khatana SAM, Nathan AS, Solomon SD, Bhatt DL. The Landscape of Cardiovascular Clinical Trials in the United States Initiated Before and During COVID-19. J Am Heart Assoc 2020; 9:e018274. [PMID: 32713281 PMCID: PMC7726978 DOI: 10.1161/jaha.120.018274] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Affiliation(s)
- Senthil Selvaraj
- Division of Cardiology Department of Medicine Hospital of the University of Pennsylvania Philadelphia PA
| | - Stephen J Greene
- Division of Cardiology Duke University School of Medicine Duke Clinical Research Institute Durham NC
| | - Sameed Ahmed M Khatana
- Division of Cardiology Department of Medicine Hospital of the University of Pennsylvania Philadelphia PA
| | - Ashwin S Nathan
- Division of Cardiology Department of Medicine Hospital of the University of Pennsylvania Philadelphia PA
| | - Scott D Solomon
- Division of Cardiology Department of Medicine Brigham and Women's Hospital Boston MA
| | - Deepak L Bhatt
- Brigham and Women's Hospital Heart & Vascular Center Harvard Medical School Boston MA
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Wang SY, Tan ASL, Claggett B, Chandra A, Khatana SAM, Lutsey PL, Kucharska-Newton A, Koton S, Solomon SD, Kawachi I. Longitudinal Associations Between Income Changes and Incident Cardiovascular Disease: The Atherosclerosis Risk in Communities Study. JAMA Cardiol 2020; 4:1203-1212. [PMID: 31596441 DOI: 10.1001/jamacardio.2019.3788] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Importance Higher income is associated with lower incident cardiovascular disease (CVD). However, there is limited research on the association between changes in income and incident CVD. Objective To examine the association between change in household income and subsequent risk of CVD. Design, Setting, and Participants The Atherosclerosis Risk In Communities (ARIC) study is an ongoing, prospective cohort of 15 792 community-dwelling men and women, of mostly black or white race, from 4 centers in the United States (Jackson, Mississippi; Washington County, Maryland; suburbs of Minneapolis, Minnesota; and Forsyth County, North Carolina), beginning in 1987. For our analysis, participants were followed up until December 31, 2016. Exposures Participants were categorized based on whether their household income dropped by more than 50% (income drop), remained unchanged/changed less than 50% (income unchanged), or increased by more than 50% (income rise) over a mean (SD) period of approximately 6 (0.3) years between ARIC visit 1 (1987-1989) and visit 3 (1993-1995). Main Outcomes and Measures Our primary outcome was incidence of CVD after ARIC visit 3, including myocardial infarction (MI), fatal coronary heart disease, heart failure (HF), or stroke during a mean (SD) of 17 (7) years. Analyses were adjusted for sociodemographic variables, health behaviors, and CVD biomarkers. Results Of the 8989 included participants (mean [SD] age at enrollment was 53 [6] years, 1820 participants were black [20%], and 3835 participants were men [43%]), 900 participants (10%) experienced an income drop, 6284 participants (70%) had incomes that remained relatively unchanged, and 1805 participants (20%) experienced an income rise. After full adjustment, those with an income drop experienced significantly higher risk of incident CVD compared with those whose incomes remained relatively unchanged (hazard ratio, 1.17; 95% CI, 1.03-1.32). Those with an income rise experienced significantly lower risk of incident CVD compared with those whose incomes remained relatively unchanged (hazard ratio, 0.86; 95% CI, 0.77-0.96). Conclusions and Relevance Income drop over 6 years was associated with higher risk of subsequent incident CVD over 17 years, while income rise over 6 years was associated with lower risk of subsequent incident CVD over 17 years. Health professionals should have greater awareness of the influence of income change on the health of their patients.
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Affiliation(s)
- Stephen Y Wang
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,Harvard T. H. Chan School of Public Health, Boston, Massachusetts.,Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Andy S L Tan
- Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Brian Claggett
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Alvin Chandra
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sameed Ahmed M Khatana
- Harvard T. H. Chan School of Public Health, Boston, Massachusetts.,Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Pamela L Lutsey
- University of Minnesota School of Public Health, Minneapolis
| | - Anna Kucharska-Newton
- University of North Carolina Gillings School of Global Public Health, Chapel Hill.,University of Kentucky College of Public Health, Lexington
| | - Silvia Koton
- School of Health Professions, Sackler Faculty of Medicine, Tel Aviv University, Israel.,Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Ichiro Kawachi
- Harvard T. H. Chan School of Public Health, Boston, Massachusetts
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Abstract
Importance Medicaid expansion under the Patient Protection and Affordable Care Act led to one of the largest gains in health insurance coverage for nonelderly adults in the United States. However, its association with cardiovascular mortality is unclear. Objective To investigate the association of Medicaid expansion with cardiovascular mortality rates in middle-aged adults. Design, Setting, and Participants This study used a longitudinal, observational design, using a difference-in-differences approach with county-level data from counties in 48 states (excluding Massachusetts and Wisconsin) and Washington, DC, from 2010 to 2016. Adults aged 45 to 64 years were included. Data were analyzed from November 2018 to January 2019. Exposures Residence in a Medicaid expansion state. Main Outcomes and Measures Difference-in-differences of annual, age-adjusted cardiovascular mortality rates from before Medicaid expansion to after expansion. Results As of 2016, 29 states and Washington, DC, had expanded Medicaid eligibility, while 19 states had not. Compared with counties in Medicaid nonexpansion states, counties in expansion states had a greater decrease in the percentage of uninsured residents at all income levels (mean [SD], 7.3% [3.2%] vs 5.6% [2.7%]; P < .001) and in low income strata (19.8% [5.5%] vs 13.5% [3.9%]; P < .001) between 2010 and 2016. Counties in expansion states had a smaller change in cardiovascular mortality rates after expansion (146.5 [95% CI, 132.4-160.7] to 146.4 [95% CI, 131.9-161.0] deaths per 100 000 residents per year) than counties in nonexpansion states did (176.3 [95% CI, 154.2-198.5] to 180.9 [95% CI, 158.0-203.8] deaths per 100 000 residents per year). After accounting for demographic, clinical, and economic differences, counties in expansion states had 4.3 (95% CI, 1.8-6.9) fewer deaths per 100 000 residents per year from cardiovascular causes after Medicaid expansion than if they had followed the same trends as counties in nonexpansion states. Conclusions and Relevance Counties in states that expanded Medicaid had a significantly smaller increase in cardiovascular mortality rates among middle-aged adults after expansion compared with counties in states that did not expand Medicaid. These findings suggest that recent Medicaid expansion was associated with lower cardiovascular mortality in middle-aged adults and may be of consideration as further expansion of Medicaid is debated.
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Affiliation(s)
- Sameed Ahmed M Khatana
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Anjali Bhatla
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Ashwin S Nathan
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Jay Giri
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Changyu Shen
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.,Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Dhruv S Kazi
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.,Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Robert W Yeh
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.,Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Peter W Groeneveld
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia.,Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
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Raman S, Nathan A, Khatana SAM, Desai ND, Atluri P, Szeto WY, Groeneveld PW, Giri J. Abstract 214: The Association of Surgeon Experience With Expected Mortality of Coronary Artery Bypass Graft Surgery in New York State. Circ Cardiovasc Qual Outcomes 2020. [DOI: 10.1161/hcq.13.suppl_1.214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Purpose:
Public reporting of surgical outcomes can promote quality improvement. However, this could also incentivize surgeons to avoid high-risk patients. Senior surgeons, with established referral networks, may select lower-risk cases than their junior colleagues. This study aimed to assess the relationship between surgeon experience and expected mortality rate of cases performed.
Methods:
Publicly available data on coronary artery bypass graft (CABG) surgeries between 2011-2013 were obtained from the New York State Department of Health. The 30-day expected mortality rate (EMR) for each CABG was calculated from validated models. Additionally, we obtained data on each surgeon’s medical school gradation year and board certification status from Internet sources, such as Doximity. Surgeon experience was calculated by subtracting the medical school graduation year from 2011, the start of the study period. A multivariable linear regression model was used to estimate the association between EMR and surgeon experience, adjusting for case volume and board certification status.
Results:
Between 2011-2013, there were 132 cardiac surgeons that performed CABG at 39 hospitals across New York State. The mean surgeon experience was 25.1 years (SD 9.1 years) and the overall mean EMR of CABG surgeries was 1.46% (SD 0.38%). The unadjusted analysis showed a 0.005% increase in EMR per additional year of surgeon experience. However, this was not statistically significant (p=0.25, 95% CI -0.0036 to 0.0013). Through the multivariable linear regression model, we did not find evidence of a significant association between operator experience and the EMR of cases performed (0.0040% per year, p=0.35, 95% CI -0.0044 to 0.012%). There was a significant association between the number of cases performed during the study period and the EMR, with an increase in EMR by 0.0005% per additional case performed (p=0.04, 95% CI 0.00004 to 0.001). There was no significant association between board certification status and EMR (p=0.10).
Conclusion:
Despite public reporting of CABG outcomes, our findings suggest that more experienced surgeons may not be exhibiting risk-avoidant behavior. Future research could focus on supplementing publicly reported physician-level data with patient-level datasets to better understand the association between surgeon experience and expected mortality rate of cases performed.
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Affiliation(s)
| | | | | | | | | | | | | | - Jay Giri
- Univ of Pennsylvania, Philadelphia, PA
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Geller BJ, Adusumalli S, Pugliese SC, Khatana SAM, Nathan A, Weinberg I, Jaff MR, Kobayashi T, Mazurek JA, Khandhar S, Yang L, Groeneveld PW, Giri JS. Outcomes of catheter-directed versus systemic thrombolysis for the treatment of pulmonary embolism: A real-world analysis of national administrative claims. Vasc Med 2020; 25:334-340. [PMID: 32338580 DOI: 10.1177/1358863x20903371] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Catheter-directed thrombolysis (CDT) and systemic thrombolysis (ST) are used to treat intermediate/high-risk pulmonary embolism (PE) in the absence of comparative safety and effectiveness data. We utilized a large administrative database to perform a comparative safety and effectiveness analysis of catheter-directed versus systemic thrombolysis. From the Optum® Clinformatics® Data Mart private-payer insurance claims database, we identified 100,744 patients hospitalized with PE between 2004 and 2014. We extracted demographic characteristics, high-risk PE features, components of the Elixhauser Comorbidity Index, and outcomes including intracranial hemorrhage (ICH), all-cause bleeding, and mortality among all patients receiving CDT and ST. We used propensity score methods to compare outcomes between matched cohorts adjusted for observed confounders. A total of 1915 patients (1.9%) received either CDT (n = 632) or ST (n = 1283). Patients in the CDT group had fewer high-risk features including less shock (5.4 vs 11.1%; p < 0.001) and cardiac arrest (6.8 vs 11.0%; p = 0.004). In 1:1 propensity-matched groups, ICH rates were 1.9% in both the CDT and ST groups (p = 1.0). All-cause bleeding was higher in the CDT group (15.9 vs 8.7%; p < 0.001), while in-hospital mortality was lower (6.5 vs 10.0%; p = 0.02). Among a nationally representative cohort of patients with PE at higher risk for mortality, CDT was associated with similar ICH rates, increased all-cause bleeding, and lower short and intermediate-term mortality when compared with ST. The competing risks and benefits of CDT in real-world practice suggest the need for large-scale randomized clinical trials with appropriate comparator arms.
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Affiliation(s)
- Bram J Geller
- Department of Medicine, Division of Cardiovascular Medicine, Maine Medical Center, Portland, ME, USA.,Division of Cardiovascular Critical Care Services, Maine Medical Center, Portland, ME, USA
| | - Srinath Adusumalli
- Department of Medicine, Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.,Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA, USA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Steven C Pugliese
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Sameed Ahmed M Khatana
- Department of Medicine, Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.,Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA, USA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ashwin Nathan
- Department of Medicine, Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.,Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA, USA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Ido Weinberg
- Department of Medicine, Division of Vascular Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Michael R Jaff
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Taisei Kobayashi
- Department of Medicine, Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.,Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Jeremy A Mazurek
- Department of Medicine, Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Sameer Khandhar
- Department of Medicine, Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Lin Yang
- Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA, USA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Peter W Groeneveld
- Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA, USA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Jay S Giri
- Department of Medicine, Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.,Cardiovascular Outcomes, Quality, and Evaluative Research Center, University of Pennsylvania, Philadelphia, PA, USA
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Dayoub EJ, Medvedeva EL, Khatana SAM, Nathan AS, Epstein AJ, Groeneveld PW. Federal Payments for Coronary Revascularization Procedures Among Dual Enrollees in Medicare Advantage and the Veterans Affairs Health Care System. JAMA Netw Open 2020; 3:e201451. [PMID: 32250432 PMCID: PMC7136831 DOI: 10.1001/jamanetworkopen.2020.1451] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
IMPORTANCE More than 1 million US veterans are dually enrolled in a Medicare Advantage (MA) plan and in the Veterans Affairs (VA) health care system. The federal government prepays private MA plans to cover veterans; if a dually enrolled veteran receives an MA-covered service at the VA, the government is making 2 payments for the same service. It is not clear what proportion of veterans dually enrolled in VA and MA are undergoing coronary revascularization at VA vs non-VA hospitals. OBJECTIVE To describe where veterans who are enrolled in both VA and MA undergo coronary revascularization and the associated costs. DESIGN, SETTINGS, AND PARTICIPANTS This is a cohort study consisting of US veterans dually enrolled in VA and MA from January 1, 2010, to December 31, 2013, who had at least 1 VA encounter and underwent coronary revascularization during the study period. Data were analyzed from April 2019 to September 2019. MAIN OUTCOMES AND MEASURES Number of coronary artery bypass graft (CABG) operations and percutaneous coronary interventions (PCIs) performed through the VA and through MA during years 2010 to 2013, and the associated VA costs of coronary revascularization. In addition, multivariable logistic regression was performed to assess patient factors associated with receiving care through the VA. RESULTS A total of 18 874 VA users with concurrent MA enrollment who underwent coronary revascularization during 2010 to 2013 were identified (mean [SD] age, 75.3 [8.8] years; 18 739 men [99.0%]). Enrollees were predominantly white (17 457 patients [92.0%]). Among patients, 4115 (22.0%) underwent either CABG or PCI through the VA only, 14 281 (75.0%) did so through MA only, and 478 (2.5%) underwent coronary revascularization procedures through both payers. From 2010 to 2013, these veterans underwent 4764 coronary revascularization procedures (721 CABGs and 3043 PCIs) that cost the VA $214.7 million ($115.8 million for CABGs and $99.0 million for PCIs). In multivariable analysis, nonwhite patients were more likely than white patients to undergo coronary revascularization through the VA (odds ratio, 1.73; 95% CI, 1.52-1.96; P < .001), and for each year of age, veterans were less likely to undergo coronary revascularization through the VA (odds ratio, 0.95; 95% CI, 0.94-0.95; P < .001). There was no statistically significant association between undergoing coronary vascularization through the VA and distance in miles to the nearest VA hospital (odds ratio, 1.00; 95% CI, 0.99-1.00; P = .30). CONCLUSIONS AND RELEVANCE A substantial share of VA users concurrently enrolled in an MA plan underwent coronary revascularization procedures through the VA, incurring significant duplicative federal health care spending. Given the financial pressures facing both Medicare and the VA, government officials should consider policy solutions to mitigate redundant spending.
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Affiliation(s)
- Elias J. Dayoub
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Elena L. Medvedeva
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
| | - Sameed Ahmed M. Khatana
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
- Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia
| | - Ashwin S. Nathan
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
- Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania, Philadelphia
| | - Andrew J. Epstein
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Peter W. Groeneveld
- Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania, Philadelphia
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
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Wadhera RK, Khatana SAM, Choi E, Jiang G, Shen C, Yeh RW, Joynt Maddox KE. Disparities in Care and Mortality Among Homeless Adults Hospitalized for Cardiovascular Conditions. JAMA Intern Med 2020; 180:357-366. [PMID: 31738826 PMCID: PMC6865320 DOI: 10.1001/jamainternmed.2019.6010] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
IMPORTANCE Cardiovascular disease is a major cause of death among homeless adults, with mortality rates that are substantially higher than in the general population. It is unknown whether differences in hospitalization-related care contribute to these disparities in cardiovascular outcomes. OBJECTIVE To evaluate differences in intensity of care and mortality between homeless and nonhomeless individuals hospitalized for cardiovascular conditions (ie, acute myocardial infarction, stroke, cardiac arrest, or heart failure). DESIGN, SETTING, AND PARTICIPANTS This retrospective cross-sectional study included all hospitalizations for cardiovascular conditions among homeless adults (n = 24 890) and nonhomeless adults (n = 1 827 900) 18 years or older in New York, Massachusetts, and Florida from January 1, 2010, to September 30, 2015. Statistical analysis was performed from February 6 to July 16, 2019. MAIN OUTCOMES AND MEASURES Risk-standardized diagnostic and therapeutic procedure rates and in-hospital mortality rates. RESULTS Of the 1 852 790 total hospitalizations for cardiovascular conditions across 525 hospitals, 24 890 occurred among patients who were homeless (11 452 women and 13 438 men; mean [SD] age, 65.1 [14.8] years) and 1 827 900 occurred among patients who were not homeless (850 660 women and 977 240 men; mean [SD] age, 72.1 [14.6] years). Most hospitalizations among homeless individuals were primarily concentrated among 11 hospitals. Homeless adults were more likely than nonhomeless adults to be black (38.6% vs 15.6%) and insured by Medicaid (49.3% vs 8.5%). After accounting for differences in demographics (age, sex, and race/ethnicity), insurance payer, and clinical comorbidities, homeless adults hospitalized for acute myocardial infarction were less likely to undergo coronary angiography compared with nonhomeless adults (39.5% vs 70.9%; P < .001), percutaneous coronary intervention (24.8% vs 47.4%; P < .001), and coronary artery bypass graft (2.5% vs 7.0%; P < .001). Among adults hospitalized with stroke, those who were homeless were less likely than nonhomeless individuals to undergo cerebral angiography (2.9% vs 9.5%; P < .001) but were as likely to receive thrombolytic therapy (4.8% vs 5.2%; P = .28). In the cardiac arrest cohort, homeless adults were less likely than nonhomeless adults to undergo coronary angiography (10.1% vs 17.6%; P < .001) and percutaneous coronary intervention (0.0% vs 4.7%; P < .001). Risk-standardized mortality was higher for homeless persons with ST-elevation myocardial infarction compared with nonhomeless persons (8.3% vs 6.2%; P = .04). Mortality rates were also higher for homeless persons than for nonhomeless persons hospitalized with stroke (8.9% vs 6.3%; P < .001) or cardiac arrest (76.1% vs 57.4%; P < .001) but did not differ for heart failure (1.6% vs 1.6%; P = .83). CONCLUSIONS AND RELEVANCE There are significant disparities in in-hospital care and mortality between homeless and nonhomeless adults with cardiovascular conditions. There is a need for public health and policy efforts to support hospitals that care for homeless persons to reduce disparities in hospital-based care and improve health outcomes for this population.
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Affiliation(s)
- Rishi K Wadhera
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Division of Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Sameed Ahmed M Khatana
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Eunhee Choi
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Division of Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Ginger Jiang
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Division of Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.,Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Changyu Shen
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Division of Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Robert W Yeh
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Division of Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Karen E Joynt Maddox
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri.,Center for Health Economics and Policy, Institute for Public Health at Washington University, St Louis, Missouri
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Dayoub EJ, Nathan AS, Khatana SAM, Seigerman M, Tuteja S, Kobayashi T, Kolansky DM, Groeneveld PW, Giri J. Use of Prasugrel and Ticagrelor in Stable Ischemic Heart Disease After Percutaneous Coronary Intervention, 2009-2016. Circ Cardiovasc Interv 2020; 12:e007434. [PMID: 30608869 DOI: 10.1161/circinterventions.118.007434] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Elias J Dayoub
- Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (E.J.D., T.K., P.W.G., J.G.).,Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania (E.J.D., A.S.N., S.A.M.K., T.K., P.W.G., J.G.).,Leonard Davis Institute of Health Economics at the University of Pennsylvania (E.J.D., A.S.N., S.A.M.K., P.W.G., J.G.)
| | - Ashwin S Nathan
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania (E.J.D., A.S.N., S.A.M.K., T.K., P.W.G., J.G.).,Leonard Davis Institute of Health Economics at the University of Pennsylvania (E.J.D., A.S.N., S.A.M.K., P.W.G., J.G.).,Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania (A.S.N., S.A.M.K., M.S., T.K., D.M.K., J.G.)
| | - Sameed Ahmed M Khatana
- Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania (E.J.D., A.S.N., S.A.M.K., T.K., P.W.G., J.G.).,Leonard Davis Institute of Health Economics at the University of Pennsylvania (E.J.D., A.S.N., S.A.M.K., P.W.G., J.G.).,Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania (A.S.N., S.A.M.K., M.S., T.K., D.M.K., J.G.)
| | - Matthew Seigerman
- Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania (A.S.N., S.A.M.K., M.S., T.K., D.M.K., J.G.)
| | - Sony Tuteja
- Department of Medicine, Hospital of the University of Pennsylvania (S.T.)
| | - Taisei Kobayashi
- Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (E.J.D., T.K., P.W.G., J.G.).,Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania (E.J.D., A.S.N., S.A.M.K., T.K., P.W.G., J.G.).,Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania (A.S.N., S.A.M.K., M.S., T.K., D.M.K., J.G.)
| | - Daniel M Kolansky
- Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania (A.S.N., S.A.M.K., M.S., T.K., D.M.K., J.G.)
| | - Peter W Groeneveld
- Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (E.J.D., T.K., P.W.G., J.G.).,Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania (E.J.D., A.S.N., S.A.M.K., T.K., P.W.G., J.G.).,Leonard Davis Institute of Health Economics at the University of Pennsylvania (E.J.D., A.S.N., S.A.M.K., P.W.G., J.G.)
| | - Jay Giri
- Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (E.J.D., T.K., P.W.G., J.G.).,Center for Cardiovascular Outcomes, Quality, and Evaluative Research, University of Pennsylvania (E.J.D., A.S.N., S.A.M.K., T.K., P.W.G., J.G.).,Leonard Davis Institute of Health Economics at the University of Pennsylvania (E.J.D., A.S.N., S.A.M.K., P.W.G., J.G.).,Division of Cardiovascular Medicine, Hospital of the University of Pennsylvania (A.S.N., S.A.M.K., M.S., T.K., D.M.K., J.G.)
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Khatana SAM, Nathan AS, Dayoub EJ, Giri J, Groeneveld PW. Centers of Excellence Designations, Clinical Outcomes, and Characteristics of Hospitals Performing Percutaneous Coronary Interventions. JAMA Intern Med 2019; 179:1138-1140. [PMID: 31107523 PMCID: PMC6537784 DOI: 10.1001/jamainternmed.2019.0567] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
This study evaluates the designation of center of excellence by insurance payers for hospitals performing percutaneous coronary intervention.
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Affiliation(s)
- Sameed Ahmed M Khatana
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Ashwin S Nathan
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Elias J Dayoub
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Jay Giri
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia
| | - Peter W Groeneveld
- Penn Cardiovascular Outcomes, Quality, & Evaluative Research Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia.,Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.,Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
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Wang S, Tan AS, Claggett B, Chandra A, Khatana SAM, Lutsey PL, Kucharska-Newton A, Koton S, Solomon SD, Kawachi I. Longitudinal Associations between Income Changes and Incident Cardiovascular Disease: The Atherosclerosis Risk in Communities Study. J Card Fail 2019. [DOI: 10.1016/j.cardfail.2019.07.449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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45
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Nathan AS, Khatana SAM, Yeh RW, Groeneveld PW, Giri J. Hospital-Specific Mortality for Acute Myocardial Infarction Versus Emergency Percutaneous Coronary Intervention in New York State. JACC Cardiovasc Interv 2019; 12:898-899. [PMID: 31072516 DOI: 10.1016/j.jcin.2019.02.045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 02/06/2019] [Accepted: 02/26/2019] [Indexed: 11/30/2022]
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46
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Nathan AS, Geng Z, Dayoub EJ, Khatana SAM, Eberly LA, Kobayashi T, Pugliese SC, Adusumalli S, Giri J, Groeneveld PW. Racial, Ethnic, and Socioeconomic Inequities in the Prescription of Direct Oral Anticoagulants in Patients With Venous Thromboembolism in the United States. Circ Cardiovasc Qual Outcomes 2019; 12:e005600. [PMID: 30950652 PMCID: PMC9119738 DOI: 10.1161/circoutcomes.119.005600] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Beginning in 2012, direct oral anticoagulants (DOACs) were approved for treatment and prevention of venous thromboembolism. Prior investigations have demonstrated slow rates of adoption of novel therapeutics for black patients. We assessed the association of racial/ethnic and socioeconomic factors with DOAC use among commercially insured venous thromboembolism patients. METHODS AND RESULTS We performed a retrospective cohort analysis of adult patients with an incident diagnosis of venous thromboembolism between January 2010 and December 2016 using OptumInsight's Clinformatics Data Mart. We identified the first filled oral anticoagulant prescription within 30 days of discharge of an inpatient admission. We performed a multivariable logistic regression, adjusting for age, sex, race/ethnicity, region, zip code-linked household income, and clinical covariates to identify factors associated with the use of DOACs. Race and ethnicity were determined in this database through a combination of public records, self-report, and proprietary ethnicity code tables. There were 14 140 patients included in the analysis. Treatment with DOACs increased from <0.1% in 2010 to 65.6% in 2016. In multivariable analyses, black patients were less likely to receive a DOAC compared with white patients (odds ratio, 0.86; 95% CI, 0.77-0.97; P=0.02). There were no differences in DOAC utilization among Asian (odds ratio, 1.06; 95% CI, 0.75-1.49; P=0.74) or Hispanic patients (odds ratio, 1.04; 95% CI, 0.88-1.22; P=0.66) compared with whites. Patients with a household income over $100 000 per year were more likely to receive DOAC therapy compared with patients with a household income of <$40 000 per year (odds ratio, 1.50; 95% CI, 1.33-1.69; P<0.0001). CONCLUSIONS Although DOAC adoption has increased steadily since 2012, among a commercially insured population, black race and low household income were associated with lower use of DOACs for incident venous thromboembolism despite controlling for other clinical and socioeconomic factors. These findings suggest the possibility of both racial and socioeconomic inequity in access to this novel pharmacotherapy.
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Affiliation(s)
- Ashwin S Nathan
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia (A.S.N., S.A.M.K., T.K., S.A., J.G.).,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (A.S.N., Z.G., E.J.D., S.A.M.K., T.K., S.A., J.G., P.W.G.).,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia (A.S.N., E.J.D., S.A.M.K., T.K., S.A., J.G., P.W.G.)
| | - Zhi Geng
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (A.S.N., Z.G., E.J.D., S.A.M.K., T.K., S.A., J.G., P.W.G.)
| | - Elias J Dayoub
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (A.S.N., Z.G., E.J.D., S.A.M.K., T.K., S.A., J.G., P.W.G.).,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia (A.S.N., E.J.D., S.A.M.K., T.K., S.A., J.G., P.W.G.).,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (E.J.D., T.K., J.G., P.W.G.)
| | - Sameed Ahmed M Khatana
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia (A.S.N., S.A.M.K., T.K., S.A., J.G.).,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (A.S.N., Z.G., E.J.D., S.A.M.K., T.K., S.A., J.G., P.W.G.).,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia (A.S.N., E.J.D., S.A.M.K., T.K., S.A., J.G., P.W.G.)
| | - Lauren A Eberly
- Division of Internal Medicine, Brigham and Women's Hospital, Boston, MA (L.A.E.)
| | - Taisei Kobayashi
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia (A.S.N., S.A.M.K., T.K., S.A., J.G.).,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (A.S.N., Z.G., E.J.D., S.A.M.K., T.K., S.A., J.G., P.W.G.).,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia (A.S.N., E.J.D., S.A.M.K., T.K., S.A., J.G., P.W.G.).,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (E.J.D., T.K., J.G., P.W.G.)
| | - Steven C Pugliese
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (S.C.P.)
| | - Srinath Adusumalli
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia (A.S.N., S.A.M.K., T.K., S.A., J.G.).,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (A.S.N., Z.G., E.J.D., S.A.M.K., T.K., S.A., J.G., P.W.G.).,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia (A.S.N., E.J.D., S.A.M.K., T.K., S.A., J.G., P.W.G.)
| | - Jay Giri
- Cardiovascular Division, Hospital of the University of Pennsylvania, Philadelphia (A.S.N., S.A.M.K., T.K., S.A., J.G.).,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (A.S.N., Z.G., E.J.D., S.A.M.K., T.K., S.A., J.G., P.W.G.).,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia (A.S.N., E.J.D., S.A.M.K., T.K., S.A., J.G., P.W.G.).,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (E.J.D., T.K., J.G., P.W.G.)
| | - Peter W Groeneveld
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia (A.S.N., Z.G., E.J.D., S.A.M.K., T.K., S.A., J.G., P.W.G.).,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center, Cardiovascular Institute, University of Pennsylvania, Philadelphia (A.S.N., E.J.D., S.A.M.K., T.K., S.A., J.G., P.W.G.).,Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA (E.J.D., T.K., J.G., P.W.G.).,Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia (P.W.G.)
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Khatana SAM, Bhatla A, Nathan AS, Giri J, Shen C, Kazi DS, Yeh RW, Groeneveld PW. Abstract 3: Association of Medicaid Expansion with Cardiovascular Mortality - A Quasi-experimental Analysis. Circ Cardiovasc Qual Outcomes 2019. [DOI: 10.1161/hcq.12.suppl_1.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background:
Medicaid expansion under the Affordable Care Act (ACA) led to one of the largest gains in health insurance coverage for non-elderly adults in the US. However, its impact on health outcomes is unclear. We aimed to study whether trends in cardiovascular mortality for middle-aged adults differed between states that did and did not expand Medicaid.
Methods:
Using the CDC Wide-ranging Online Data for Epidemiologic Research mortality database, we obtained county-level, age-adjusted, cardiovascular mortality rates for all individuals 45 to 64 years of age from 2010 to 2016 for all states except Massachusetts and Wisconsin (due to non-ACA related Medicaid expansion in these two states). We used a differences-in-differences (DID) approach to measure differences in cardiovascular morality rates between states, based on Medicaid expansion status, before and after expansion. The DID estimator was adjusted for percentage of residents who were female, African-American, Hispanic, percentage of residents living in poverty, county unemployment rate, median household income, number of primary care providers per 100,000 residents, number of cardiologists per 100,000 residents, metropolitan vs. non-metropolitan county classification, and percentage of low-income residents with health insurance in 2010.
Results:
A total of 1960 counties were included. As of 2016, 29 states and DC had expanded Medicaid eligibility, while 19 states had not. Compared with counties in non-expansion states, counties in expansion states had a greater increase in health insurance coverage for low-income residents [19.8% (SD = 5.5) vs. 13.5% (SD = 3.9); p <0.001]. Pre-expansion there were no significant differences in trends in mortality rates. Counties in expansion states had a significantly smaller increase in cardiovascular mortality rates [141.9 (95% CI 135.6, 148.3) to 142.0 (95% CI 135.5, 148.6) deaths per 100,000 residents per year] compared to counties in non-expansion states [176.1 (95% CI 169.3, 182.8) to 180.6 (95% CI 173.2, 188.0) deaths per 100,000 residents per year]. After accounting for differences in demographic and economic variables, counties in expansion states had 4.0 (95% CI 2.1, 6.0) fewer deaths per 100,000 residents per year from cardiovascular causes after expansion, compared to if they had followed the same trends as counties in non-expansion states. This effect was more prominent in non-metropolitan counties and in counties in the top 50
th
percentile for residents living in poverty.
Conclusion:
Counties in Medicaid expansion states had a significantly smaller increase in cardiovascular mortality rates among non-elderly adults compared with counties in non-expansion states. Our findings suggest that Medicaid expansion was associated with a beneficial effect on cardiovascular mortality and may be an important consideration for states debating expansion of Medicaid eligibility.
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Affiliation(s)
| | | | | | - Jay Giri
- Univ of Pennsylvania, Philadelphia, PA
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Khatana SAM, Fiorilli PN, Nathan AS, Kolansky DM, Mitra N, Groeneveld PW, Giri J. Association Between 30-Day Mortality After Percutaneous Coronary Intervention and Education and Certification Variables for New York State Interventional Cardiologists. Circ Cardiovasc Interv 2018; 11:e006094. [PMID: 30354589 DOI: 10.1161/circinterventions.117.006094] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Patients and other providers have access to few publicly available physician attributes that identify interventional cardiologists with better postprocedural outcomes, particularly in states without public reporting of outcomes. Interventional cardiology board certification, maintenance of certification, graduation from a US medical school, medical school ranking, and length of practice represent such publicly available attributes. Previous studies on these measures have shown mixed results. METHODS AND RESULTS We included interventional cardiologists practicing in New York State in the years 2011 to 2013. The primary outcome was 30-day risk-standardized mortality rate (RSMR) after percutaneous coronary intervention. Hierarchical regression modeling was used to analyze the physician attributes and was adjusted for provider caseload. A total of 356 providers were studied. The average 30-day RSMR was 1.1 (SD=0.1) deaths per 100 cases for all percutaneous coronary interventions and 0.7 (SD=0.1) deaths per 100 cases for nonemergent procedures. The primary outcome was slightly lower among providers with interventional cardiology board certification compared with noncertified providers (1.06 [SD=0.14] versus 1.14 [SD=0.14] deaths per 100 cases; P<0.001). In multivariable hierarchical regression modeling, after adjusting for provider caseload, none of the physician attributes were associated with the primary outcome. Provider caseload was significantly associated with 30-day RSMR independent of the other attributes. CONCLUSIONS Interventional cardiology board-certified providers had a modestly lower 30-day RSMR before accounting for caseload. However, after adjusting for provider caseload, none of the examined publicly available physician attributes, including interventional cardiology board certification, were independently associated with 30-day RSMR.
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Affiliation(s)
- Sameed Ahmed M Khatana
- Division of Cardiovascular Medicine (S.A.M.K., P.N.F., A.S.N., D.M.K., J.G.), University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (S.A.M.K., A.S.N., P.W.G., J.G.), University of Pennsylvania, Philadelphia.,Perelman School of Medicine, The Leonard Davis Institute of Health Economics (S.A.M.K., A.S.N., N.M., P.W.G., J.G.), University of Pennsylvania, Philadelphia
| | - Paul N Fiorilli
- Division of Cardiovascular Medicine (S.A.M.K., P.N.F., A.S.N., D.M.K., J.G.), University of Pennsylvania, Philadelphia
| | - Ashwin S Nathan
- Division of Cardiovascular Medicine (S.A.M.K., P.N.F., A.S.N., D.M.K., J.G.), University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (S.A.M.K., A.S.N., P.W.G., J.G.), University of Pennsylvania, Philadelphia.,Perelman School of Medicine, The Leonard Davis Institute of Health Economics (S.A.M.K., A.S.N., N.M., P.W.G., J.G.), University of Pennsylvania, Philadelphia
| | - Daniel M Kolansky
- Division of Cardiovascular Medicine (S.A.M.K., P.N.F., A.S.N., D.M.K., J.G.), University of Pennsylvania, Philadelphia
| | - Nandita Mitra
- Department of Biostatistics, Epidemiology, and Informatics (N.M.), University of Pennsylvania, Philadelphia.,Perelman School of Medicine, The Leonard Davis Institute of Health Economics (S.A.M.K., A.S.N., N.M., P.W.G., J.G.), University of Pennsylvania, Philadelphia
| | - Peter W Groeneveld
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (S.A.M.K., A.S.N., P.W.G., J.G.), University of Pennsylvania, Philadelphia.,Division of General Internal Medicine (P.W.G.), University of Pennsylvania, Philadelphia.,Perelman School of Medicine, The Leonard Davis Institute of Health Economics (S.A.M.K., A.S.N., N.M., P.W.G., J.G.), University of Pennsylvania, Philadelphia.,Center for Health Equity Research and Promotion, Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA (P.W.G.)
| | - Jay Giri
- Division of Cardiovascular Medicine (S.A.M.K., P.N.F., A.S.N., D.M.K., J.G.), University of Pennsylvania, Philadelphia.,Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (S.A.M.K., A.S.N., P.W.G., J.G.), University of Pennsylvania, Philadelphia.,Perelman School of Medicine, The Leonard Davis Institute of Health Economics (S.A.M.K., A.S.N., N.M., P.W.G., J.G.), University of Pennsylvania, Philadelphia
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Khatana SAM, Fiorilli PN, Groeneveld PW, Giri JS. Abstract 006: Association Between Percutaneous Coronary Intervention Outcomes and Physician Education and Board Certification in New York State 2010-2012. Circ Cardiovasc Qual Outcomes 2017. [DOI: 10.1161/circoutcomes.10.suppl_3.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objectives:
Patients have few objective predictors of quality in their choice of physician. We studied whether physician education variables and board certification status were associated with 30 day mortality rates after percutaneous coronary interventions (PCI) in New York State.
Methods:
Using the New York State PCI registry we obtained 30 day risk adjusted mortality rates after PCI procedures for all interventional cardiologists practicing between 2010-2012. Educational and certification variables were obtained using publicly available sources. Mortality rates were adjusted using a hierarchical Poisson shrinkage estimator. Hierarchical regression modeling was used to assess associations between mortality rates and education and certification markers (graduation from American vs. foreign medical school, years since medical school graduation, board certification in interventional cardiology and maintenance of certification for board certified physicians in 2016) with and without adjustment for caseload. Excluding correlated covariates, a regression model including caseload, board certification and US graduates was also constructed.
Results:
A total of 346 interventional cardiologists performed an average of 427.41 ± 402.52 cases with 3.90 ± 3.51 deaths. The average shrinkage estimator adjusted mortality rate was 1.00 ± 0.16. Only interventional cardiology board certification (75.8% of providers) was associated with lower mortality rate in univariate analysis (β = -0.06; p = 0.03). No other variables had a significant association with the outcomes. After adjusting for caseload, the association with board certification became non-significant. In the multivariate regression model including the above noted covariates, the association between caseload and the outcome remained significant (β = -0.001; p <.01).
Conclusion:
Risk-adjusted mortality rate after PCI is not associated with any education or certification markers, including board certification in interventional cardiology or maintenance of certification, after adjustment for caseload. Caseload was the only predictor of mortality rate in multivariate modeling.
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Affiliation(s)
| | | | | | - Jay S Giri
- Hosp of the Univ of Pennsylvania, Philadelphia, PA
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Khatana SAM, Patton EW, Sanghavi DM. Public Policy and Physician Involvement: Removing Barriers, Enhancing Impact. Am J Med 2017; 130:8-10. [PMID: 27555096 DOI: 10.1016/j.amjmed.2016.07.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Revised: 07/13/2016] [Accepted: 07/15/2016] [Indexed: 10/21/2022]
Affiliation(s)
- Sameed Ahmed M Khatana
- Department of Medicine, Brigham and Women's Hospital, Boston, Mass; Harvard Medical School, Boston, Mass.
| | - Elizabeth W Patton
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor; VA Center for Clinical Management Research, Ann Arbor, Mich
| | - Darshak M Sanghavi
- Centers for Medicare & Medicaid Services, US Department of Health and Human Services, Baltimore, Md
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