1
|
Hayes S, Duan KI, Wai TH, Picazo F, Donovan LM, Spece LJ, Plumley R, Slatore CG, Thakur N, Crothers K, Au DH, Feemster LC. Association between Neighborhood Socioeconomic Disadvantage and Chronic Obstructive Pulmonary Disease Prevalence Among U.S. Veterans. Ann Am Thorac Soc 2024; 21:669-672. [PMID: 38252425 PMCID: PMC10995553 DOI: 10.1513/annalsats.202308-668rl] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 01/19/2024] [Indexed: 01/23/2024] Open
Affiliation(s)
- Sophia Hayes
- VA Puget Sound Health Care SystemSeattle, Washington
- University of WashingtonSeattle, Washington
| | - Kevin I. Duan
- University of WashingtonSeattle, Washington
- University of British ColumbiaVancouver, British Columbia, Canada
| | | | - Fernando Picazo
- VA Puget Sound Health Care SystemSeattle, Washington
- University of WashingtonSeattle, Washington
| | - Lucas M. Donovan
- VA Puget Sound Health Care SystemSeattle, Washington
- University of WashingtonSeattle, Washington
| | - Laura J. Spece
- VA Puget Sound Health Care SystemSeattle, Washington
- University of WashingtonSeattle, Washington
| | | | - Christopher G. Slatore
- VA Portland Health Care SystemPortland, Oregon
- Oregon Health and Science UniversityPortland, Oregon
| | - Neeta Thakur
- University of California, San FranciscoSan Francisco, California
| | - Kristina Crothers
- VA Puget Sound Health Care SystemSeattle, Washington
- University of WashingtonSeattle, Washington
| | - David H. Au
- VA Puget Sound Health Care SystemSeattle, Washington
- University of WashingtonSeattle, Washington
- Department of Veterans AffairsWashington, DC
| | - Laura C. Feemster
- VA Puget Sound Health Care SystemSeattle, Washington
- University of WashingtonSeattle, Washington
| |
Collapse
|
2
|
Tung EL, Bruch JD, Chin MH, Menconi M, Peek ME, Huang ES. Associations of U.S. hospital closure (2007-2018) with area socioeconomic disadvantage and racial/ethnic composition. Ann Epidemiol 2024; 92:40-46. [PMID: 38432535 DOI: 10.1016/j.annepidem.2024.02.010] [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] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 02/15/2024] [Accepted: 02/27/2024] [Indexed: 03/05/2024]
Abstract
PURPOSE To examine whether hospital closure is associated with high levels of area socioeconomic disadvantage and racial/ethnic minority composition. METHODS Pooled cross-sectional analysis (2007-2018) of 6467 U.S. hospitals from the American Hospital Association's Annual Survey, comparing hospital population characteristics of closed hospitals to all remaining open hospitals. We used multilevel mixed-effects logistic regression models to assess closure as a function of population characteristics, including area deprivation index ([ADI], a composite measure of socioeconomic disadvantage), racial/ethnic composition, and rural classification, nesting hospitals within hospital service areas (HSAs) and hospital referral regions. Secondary analyses examined public or private hospital type. RESULTS Overall, 326 (5.0%) of 6467 U.S. hospitals closed during the study period. In multivariable models, hospitals in HSAs with a higher burden of socioeconomic disadvantage (per 10% above median ADI ZIP codes, AOR 1.05; 95% CI, 1.01-1.09) and Black Non-Hispanic composition (highest quartile, AOR 4.03; 95% CI, 2.62-6.21) had higher odds of closure. We did not observe disparities in closure by Hispanic/Latino composition or rurality. Disparities persisted for Black Non-Hispanic communities, even among HSAs with the lowest burden of disadvantage. CONCLUSIONS Disproportionate hospital closure in communities with higher socioeconomic disadvantage and Black racial composition raises concerns about unequal loss of healthcare resources in the U.S.
Collapse
Affiliation(s)
- Elizabeth L Tung
- Section of General Internal Medicine, University of Chicago, United States; Center for Health and the Social Sciences, University of Chicago, United States.
| | - Joseph D Bruch
- Section of General Internal Medicine, University of Chicago, United States; Department of Public Health Sciences, University of Chicago, United States
| | - Marshall H Chin
- Section of General Internal Medicine, University of Chicago, United States; Center for Chronic Disease Research and Policy, University of Chicago, United States
| | - Maxwell Menconi
- Section of General Internal Medicine, University of Chicago, United States
| | - Monica E Peek
- Section of General Internal Medicine, University of Chicago, United States; Center for Chronic Disease Research and Policy, University of Chicago, United States
| | - Elbert S Huang
- Section of General Internal Medicine, University of Chicago, United States; Center for Chronic Disease Research and Policy, University of Chicago, United States
| |
Collapse
|
3
|
Brown JA, Ish JL, Chang CJ, Bookwalter DB, O'Brien KM, Jones RR, Kaufman JD, Sandler DP, White AJ. Outdoor air pollution exposure and uterine cancer incidence in the sister study. J Natl Cancer Inst 2024:djae031. [PMID: 38346713 DOI: 10.1093/jnci/djae031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 01/26/2024] [Accepted: 02/07/2024] [Indexed: 03/16/2024] Open
Abstract
BACKGROUND Outdoor air pollution is a ubiquitous exposure that includes endocrine-disrupting and carcinogenic compounds that may contribute to the risk of hormone-sensitive outcomes such as uterine cancer. However, there is limited evidence about the relationship between outdoor air pollution and uterine cancer incidence. METHODS We investigated the associations of residential exposure to particulate matter less than 2.5 µm in diameter (PM2.5) and nitrogen dioxide (NO2) with uterine cancer among 33,417 Sister Study participants with an intact uterus at baseline (2003-2009). Annual average air pollutant concentrations were estimated at participants' geocoded primary residential address(es) using validated spatiotemporal models. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between time-varying 12-month PM2.5 (µg/m3) and NO2 (ppb) averages and uterine cancer incidence. RESULTS Over a median follow-up period of 9.8 years, 319 incident uterine cancer cases were identified. A 5-ppb increase in NO2 was associated with a 23% higher incidence of uterine cancer (HR = 1.23, 95% CI 1.04-1.46), especially among participants living in urban areas (HR = 1.53, 95% CI: 1.13-2.07). However, PM2.5 was not associated with increased uterine cancer incidence. CONCLUSION In this large U.S. cohort, NO2, a marker of vehicular traffic exposure, was associated with a higher incidence of uterine cancer. These findings expand the scope of health effects associated with air pollution, supporting the need for policy and other interventions designed to reduce air pollutant exposure.
Collapse
Affiliation(s)
- Jordyn A Brown
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Jennifer L Ish
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Che-Jung Chang
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | | | - Katie M O'Brien
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Rena R Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Joel D Kaufman
- Departments of Environmental & Occupational Health Sciences, Medicine, and Epidemiology, University of Washington, Seattle, Washington, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Alexandra J White
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| |
Collapse
|
4
|
Pagani NR, Grant A, Bamford M, Peterman N, Smith EL, Gordon MR. Socioeconomic Disadvantage Predicts Decreased Likelihood of Maintaining a Functional Knee Arthroplasty Following Treatment for Prosthetic Joint Infection. J Arthroplasty 2024:S0883-5403(24)00024-X. [PMID: 38220025 DOI: 10.1016/j.arth.2024.01.024] [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: 09/20/2023] [Revised: 12/27/2023] [Accepted: 01/09/2024] [Indexed: 01/16/2024] Open
Abstract
BACKGROUND Prosthetic joint infection (PJI) carries major morbidity and mortality as well as a complicated and lengthy treatment course. In patients who have high degrees of socioeconomic disadvantage, this may be a particularly devastating complication. Our study sought to evaluate the impact of socioeconomic deprivation on outcomes following treatment for PJI of the knee. METHODS We conducted a retrospective review of revision total knee arthroplasty (TKA) procedures performed for the treatment of initial PJI between 2008 and 2020 at a single tertiary care center in the United States. The Area Deprivation Index (ADI) was used to quantify socioeconomic deprivation. The primary outcome measure was presence of a functional knee joint at the time of most recent follow-up defined as TKA components or an articulating spacer. A total of 96 patients were included for analysis. The median follow-up duration was 26.5 months. RESULTS There was no significant difference in the rate of treatment failure (P = .63). However, the proportion of patients who had a functional knee arthroplasty (in contrast to having undergone arthrodesis, amputation, or retention of a static spacer) declined significantly with increasing ADI index (81.8% for the least disadvantaged group, 58.7% for the middle group, 42.9% for the most disadvantaged group, P = .021). CONCLUSIONS Patients who have a higher socioeconomic disadvantage as measured by ADI are less likely to maintain a functional knee arthroplasty following treatment for TKA PJI. These findings support continued efforts to improve access to care and optimize treatment plans for patients who have socioeconomic disadvantage.
Collapse
Affiliation(s)
- Nicholas R Pagani
- Department of Orthopaedics, New England Baptist Hospital, Boston, Massachusetts
| | - Andrew Grant
- Department of Orthopaedics, New England Baptist Hospital, Boston, Massachusetts
| | | | - Nicholas Peterman
- Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Champaign, Illinois
| | - Eric L Smith
- Department of Orthopaedics, New England Baptist Hospital, Boston, Massachusetts
| | - Matthew R Gordon
- Department of Orthopaedics, Tufts Medical Center, Boston, Massachusetts
| |
Collapse
|
5
|
Conley CC, Derry-Vick HM, Ahn J, Xia Y, Lin L, Graves KD, Pan W, Fall-Dickson JM, Reeve BB, Potosky AL. Relationship between area-level socioeconomic status and health-related quality of life among cancer survivors. JNCI Cancer Spectr 2024; 8:pkad109. [PMID: 38128004 PMCID: PMC10868382 DOI: 10.1093/jncics/pkad109] [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] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 12/11/2023] [Accepted: 12/18/2023] [Indexed: 12/23/2023] Open
Abstract
Area-level socioeconomic status (SES) impacts cancer outcomes, such as stage at diagnosis, treatments received, and mortality. However, less is known about the relationship between area-level SES and health-related quality of life (HRQOL) for cancer survivors. To assess the additive value of area-level SES data and the relative contribution of area- and individual-level SES for estimating cancer survivors' HRQOL, we conducted a secondary analysis of data from a population-based survey study of cancer survivors (the Measuring Your Health [MY-Health] Study). Multilevel multinomial logistic regression models were used to examine the relationships between individual-level SES, area-level SES as measured by the Centers for Disease Control and Prevention's Social Vulnerability Index, and HRQOL group membership (high, average, low, or very low HRQOL). Area-level SES did not significantly increase model estimation accuracy compared to models using only individual-level SES. However, area-level SES could be an appropriate proxy when the individual-level SES is missing.
Collapse
Affiliation(s)
- Claire C Conley
- Department of Oncology, Georgetown University, Washington, DC, USA
| | - Heather M Derry-Vick
- Cancer Prevention Precision Control Institute, Center for Discovery and Innovation, Hackensack Meridian Health, Nutley, NJ, USA
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington, DC, USA
| | - Yi Xia
- Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington, DC, USA
| | - Li Lin
- Center for Health Measurement, Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Kristi D Graves
- Department of Oncology, Georgetown University, Washington, DC, USA
| | - Wei Pan
- Health Statistics and Data Science Core, Duke University School of Nursing, Durham, NC, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Jane M Fall-Dickson
- Georgetown University School of Nursing, Georgetown University Medical Center, Washington, DC, USA
- Daniel K. Inouye Graduate School of Nursing, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Bryce B Reeve
- Center for Health Measurement, Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC, USA
| | - Arnold L Potosky
- Department of Oncology, Georgetown University, Washington, DC, USA
| |
Collapse
|
6
|
Gross DJ, Alnajar A, Cotamo LM, Sarris-Michopoulos M, Villamizar NR, Nguyen DM. Postoperative day 1 discharge following robotic thoracoscopic pulmonary anatomic resections in the era of enhanced recovery protocol: A single-institution experience. JTCVS Open 2023; 16:875-885. [PMID: 38204704 PMCID: PMC10774976 DOI: 10.1016/j.xjon.2023.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 06/16/2023] [Accepted: 08/10/2023] [Indexed: 01/12/2024]
Abstract
Objective Implementation and continuing optimization of enhanced recovery protocol after thoracic surgery results in significant improvement of postoperative outcomes. We observed a 10-fold increase in the rate of postoperative day (POD) 1 discharges following robotic thoracoscopic anatomic resections over time. We aimed to determine factors associated with safe POD1 discharges. Methods We performed a retrospective analysis of a prospectively maintained database of robotic anatomic pulmonary resections between July 1, 2012, and June 30, 2022, with patients of the last 2.5 years forming the basis of this study. Data collected included demographics, insurance types, Area Deprivation Index (indicator of poverty), and operative and postoperative variables including length of stay, opioid use, daily pain levels, readmissions, and outpatient interventions. Factors associated with POD1 were analyzed using a logistic regression module. Result In total, 279 patients met inclusion criteria (91 POD1 discharges, 32.6%; none discharged with a pleural catheter). There was neither an increase of postdischarge interventions for pleural complications nor readmission in early discharge patients. After adjusting for relevant factors, younger age, right middle lobectomy, lower opioid use on POD1, operating room finish before 4 PM, and low Area Deprivation Index were significantly associated with POD1 discharge. A subanalysis of 49 patients, who could have been discharged on POD1, identified hypoxemia requiring home oxygen, atrial fibrillation, and poorly controlled pain being common mitigatable clinical factors delaying POD1 discharge. Conclusions Safe POD1 discharge following robotic thoracoscopic anatomic resection was achieved in 32% of cases. Identification of positive and negative factors affecting early discharge provides guidance for further modifications to increase the number of POD1 discharges.
Collapse
Affiliation(s)
- Daniel J. Gross
- Division of Thoracic and Foregut Surgery, The DeWitt Daughtry Department of Surgery, The University of Miami, Miami, Fla
| | - Ahmed Alnajar
- Division of Thoracic and Foregut Surgery, The DeWitt Daughtry Department of Surgery, The University of Miami, Miami, Fla
| | - Luis Miguel Cotamo
- Division of Thoracic and Foregut Surgery, The DeWitt Daughtry Department of Surgery, The University of Miami, Miami, Fla
| | - Michael Sarris-Michopoulos
- Division of Thoracic and Foregut Surgery, The DeWitt Daughtry Department of Surgery, The University of Miami, Miami, Fla
| | - Nestor R. Villamizar
- Division of Thoracic and Foregut Surgery, The DeWitt Daughtry Department of Surgery, The University of Miami, Miami, Fla
| | - Dao M. Nguyen
- Division of Thoracic and Foregut Surgery, The DeWitt Daughtry Department of Surgery, The University of Miami, Miami, Fla
| |
Collapse
|
7
|
Sharma I, Campbell MK, Heisel MJ, Choi YH, Luginaah IN, Were JM, Gonzalez JCV, Stranges S. Construction and validation of the area level deprivation index for health research: A methodological study based on Nepal Demographic and Health Survey. PLoS One 2023; 18:e0293515. [PMID: 37971982 PMCID: PMC10653511 DOI: 10.1371/journal.pone.0293515] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 10/16/2023] [Indexed: 11/19/2023] Open
Abstract
Area-level factors may partly explain the heterogeneity in risk factors and disease distribution. Yet, there are a limited number of studies that focus on the development and validation of the area level construct and are primarily from high-income countries. The main objective of the study is to provide a methodological approach to construct and validate the area level construct, the Area Level Deprivation Index in low resource setting. A total of 14652 individuals from 11,203 households within 383 clusters (or areas) were selected from 2016-Nepal Demographic and Health survey. The index development involved sequential steps that included identification and screening of variables, variable reduction and extraction of the factors, and assessment of reliability and validity. Variables that could explain the underlying latent structure of area-level deprivation were selected from the dataset. These variables included: housing structure, household assets, and availability and accessibility of physical infrastructures such as roads, health care facilities, nearby towns, and geographic terrain. Initially, 26-variables were selected for the index development. A unifactorial model with 15-variables had the best fit to represent the underlying structure for area-level deprivation evidencing strong internal consistency (Cronbach's alpha = 0.93). Standardized scores for index ranged from 58.0 to 140.0, with higher scores signifying greater area-level deprivation. The newly constructed index showed relatively strong criterion validity with multi-dimensional poverty index (Pearson's correlation coefficient = 0.77) and relatively strong construct validity (Comparative Fit Index = 0.96; Tucker-Lewis Index = 0.94; standardized root mean square residual = 0.05; Root mean square error of approximation = 0.079). The factor structure was relatively consistent across different administrative regions. Area level deprivation index was constructed, and its validity and reliability was assessed. The index provides an opportunity to explore the area-level influence on disease outcome and health disparity.
Collapse
Affiliation(s)
- Ishor Sharma
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - M. Karen Campbell
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
- Lawson Health Research Institute, London, Ontario, Canada
| | - Marnin J. Heisel
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
- Lawson Health Research Institute, London, Ontario, Canada
| | - Yun-Hee Choi
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Isaac N. Luginaah
- Department of Geography, Western University, London, Ontario, Canada
| | - Jason Mulimba Were
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | | | - Saverio Stranges
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
- Lawson Health Research Institute, London, Ontario, Canada
- Department of Geography, Western University, London, Ontario, Canada
- Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg
| |
Collapse
|
8
|
Berman AN, Ginder C, Wang XS, Borden L, Hidrue MK, Searl Como JM, Daly D, Sun YP, Curry WT, Del Carmen M, Morrow DA, Scirica B, Choudhry NK, Januzzi JL, Wasfy JH. A pragmatic clinical trial assessing the effect of a targeted notification and clinical support pathway on the diagnostic evaluation and treatment of individuals with left ventricular hypertrophy (NOTIFY-LVH). Am Heart J 2023; 265:40-49. [PMID: 37454754 DOI: 10.1016/j.ahj.2023.06.014] [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: 04/14/2023] [Revised: 06/19/2023] [Accepted: 06/28/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Electronic health records contain vast amounts of cardiovascular data, including potential clues suggesting unrecognized conditions. One important example is the identification of left ventricular hypertrophy (LVH) on echocardiography. If the underlying causes are untreated, individuals are at increased risk of developing clinically significant pathology. As the most common cause of LVH, hypertension accounts for more cardiovascular deaths than any other modifiable risk factor. Contemporary healthcare systems have suboptimal mechanisms for detecting and effectively implementing hypertension treatment before downstream consequences develop. Thus, there is an urgent need to validate alternative intervention strategies for individuals with preexisting-but potentially unrecognized-LVH. METHODS Through a randomized pragmatic trial within a large integrated healthcare system, we will study the impact of a centralized clinical support pathway on the diagnosis and treatment of hypertension and other LVH-associated diseases in individuals with echocardiographic evidence of concentric LVH. Approximately 600 individuals who are not treated for hypertension and who do not have a known cardiomyopathy will be randomized. The intervention will be directed by population health coordinators who will notify longitudinal clinicians and offer to assist with the diagnostic evaluation of LVH. Our hypothesis is that an intervention that alerts clinicians to the presence of LVH will increase the detection and treatment of hypertension and the diagnosis of alternative causes of thickened myocardium. The primary outcome is the initiation of an antihypertensive medication. Secondary outcomes include new hypertension diagnoses and new cardiomyopathy diagnoses. The trial began in March 2023 and outcomes will be assessed 12 months from the start of follow-up. CONCLUSION The NOTIFY-LVH trial will assess the efficacy of a centralized intervention to improve the detection and treatment of hypertension and LVH-associated diseases. Additionally, it will serve as a proof-of-concept for how to effectively utilize previously collected electronic health data to improve the recognition and management of a broad range of chronic cardiovascular conditions. TRIAL REGISTRATION NCT05713916.
Collapse
Affiliation(s)
- Adam N Berman
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Massachusetts General Physicians Organization, Boston, MA
| | - Curtis Ginder
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Xianghong S Wang
- Division of Performance Analysis and Improvement, Massachusetts General Physicians Organization, Boston, MA
| | - Linnea Borden
- Massachusetts General Physicians Organization, Boston, MA
| | - Michael K Hidrue
- Division of Performance Analysis and Improvement, Massachusetts General Physicians Organization, Boston, MA
| | | | - Danielle Daly
- Massachusetts General Physicians Organization, Boston, MA
| | - Yee-Ping Sun
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - William T Curry
- Massachusetts General Physicians Organization, Boston, MA; Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Marcela Del Carmen
- Massachusetts General Physicians Organization, Boston, MA; Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - David A Morrow
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Benjamin Scirica
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Niteesh K Choudhry
- Department of Medicine, Center for Healthcare Delivery Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - James L Januzzi
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA; Heart Failure and Biomarker Trials, Baim Institute for Clinical Research, Boston, MA
| | - Jason H Wasfy
- Massachusetts General Physicians Organization, Boston, MA; Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
| |
Collapse
|
9
|
Rollings KA, Noppert GA, Griggs JJ, Melendez RA, Clarke PJ. Comparison of two area-level socioeconomic deprivation indices: Implications for public health research, practice, and policy. PLoS One 2023; 18:e0292281. [PMID: 37797080 PMCID: PMC10553799 DOI: 10.1371/journal.pone.0292281] [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] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 09/15/2023] [Indexed: 10/07/2023] Open
Abstract
OBJECTIVES To compare 2 frequently used area-level socioeconomic deprivation indices: the Area Deprivation Index (ADI) and the Social Vulnerability Index (SVI). METHODS Index agreement was assessed via pairwise correlations, decile score distribution and mean comparisons, and mapping. The 2019 ADI and 2018 SVI indices at the U.S. census tract-level were analyzed. RESULTS Index correlation was modest (R = 0.51). Less than half (44.4%) of all tracts had good index agreement (0-1 decile difference). Among the 6.3% of tracts with poor index agreement (≥6 decile difference), nearly 1 in 5 were classified by high SVI and low ADI scores. Index items driving poor agreement, such as high rents, mortgages, and home values in urban areas with characteristics indicative of socioeconomic deprivation, were also identified. CONCLUSIONS Differences in index dimensions and agreement indicated that ADI and SVI are not interchangeable measures of socioeconomic deprivation at the tract level. Careful consideration is necessary when selecting an area-level socioeconomic deprivation measure that appropriately defines deprivation relative to the context in which it will be used. How deprivation is operationalized affects interpretation by researchers as well as public health practitioners and policymakers making decisions about resource allocation and working to address health equity.
Collapse
Affiliation(s)
- Kimberly A. Rollings
- Institute for Healthcare Policy and Innovation, Health & Design Research Fellowship Program, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Grace A. Noppert
- Institute for Social Research, Social Environment and Health, Survey Research Center, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Jennifer J. Griggs
- Department of Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Robert A. Melendez
- Institute for Social Research, Social Environment and Health, Survey Research Center, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Philippa J. Clarke
- Institute for Social Research, Social Environment and Health, Survey Research Center, University of Michigan, Ann Arbor, Michigan, United States of America
| |
Collapse
|
10
|
Lawson AB, Kim J, Johnson C, Ratnapradipa KL, Alberg AJ, Akonde M, Hastert T, Bandera EV, Terry P, Mandle H, Cote ML, Bondy M, Marks J, Peres LC, Schildkraut J, Peters ES. The Association between Mediated Deprivation and Ovarian Cancer Survival among African American Women. Cancers (Basel) 2023; 15:4848. [PMID: 37835542 PMCID: PMC10571563 DOI: 10.3390/cancers15194848] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 09/25/2023] [Accepted: 10/02/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND Deprivation indices are often used to adjust for socio-economic disparities in health studies. Their role has been partially evaluated for certain population-level cancer outcomes, but examination of their role in ovarian cancer is limited. In this study, we evaluated a range of well-recognized deprivation indices in relation to cancer survival in a cohort of self-identified Black women diagnosed with ovarian cancer. This study aimed to determine if clinical or diagnostic characteristics lie on a mediating pathway between socioeconomic status (SES) and deprivation and ovarian cancer survival in a minority population that experiences worse survival from ovarian cancer. METHODS We used mediation analysis to look at the direct and indirect causal effects of deprivation indices with main mediators of the SEER stage at diagnosis and residual disease. The analysis employed Bayesian structural equation models with variable selection. We applied a joint Bayesian structural model for the mediator, including a Weibull mixed model for the vital outcome with deprivation as exposure. We selected modifiers via a Monte Carlo model selection procedure. RESULTS The results suggest that high SES-related indices, such as Yost, Kolak urbanicity (URB), mobility (MOB) and SES dimensions, and concentrated disadvantage index (CDI), all have a significant impact on improved survival. In contrast, area deprivation index (ADI)/Singh, and area level poverty (POV) did not have a major impact. In some cases, the indirect effects have very wide credible intervals, so the total effect is not well estimated despite the estimation of the direct effect. CONCLUSIONS First, it is clear that commonly used indices such as Yost, or CDI both significantly impact the survival experience of Black women diagnosed with epithelial ovarian cancer. In addition, the Kolak dimension indices (URB, MOB, mixed immigrant: MICA and SES) also demonstrate a significant association, depending on the mediator. Mediation effects differ according to the mediator chosen.
Collapse
Affiliation(s)
- Andrew B. Lawson
- Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA
- Usher Institute, School of Medicine, University of Edinburgh, Edinburgh EH16 4UX, UK
| | - Joanne Kim
- Department of Biomedical Informatics, College of Medicine, Ohio State University, Columbus, OH 43210, USA;
| | - Courtney Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA; (C.J.)
| | - Kendra L. Ratnapradipa
- Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Anthony J. Alberg
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Maxwell Akonde
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC 29208, USA
| | - Theresa Hastert
- Department of Oncology, Wayne State University School of Medicine, Population Studies and Disparities Research Program, Karmanos Cancer Institute, Detroit, MI 48201, USA
| | - Elisa V. Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08625, USA
| | - Paul Terry
- Department of Medicine, University of Tennessee Medical Center-Knoxville, Knoxville, TN 37920, USA
| | - Hannah Mandle
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA; (C.J.)
| | - Michele L. Cote
- Bren Simon Comprehensive Cancer Center, Indiana University Melvin, Inidianapolis, IN 46202, USA;
| | - Melissa Bondy
- Department of Epidemiology and Population Health, College of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Jeffrey Marks
- Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA;
| | - Lauren C. Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA;
| | - Joellen Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA; (C.J.)
| | - Edward S. Peters
- Department of Epidemiology, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198, USA
| |
Collapse
|
11
|
Shen Y, Sarkar N, Hsia RY. Differential Treatment and Outcomes for Patients With Heart Attacks in Advantaged and Disadvantaged Communities. J Am Heart Assoc 2023; 12:e030506. [PMID: 37646213 PMCID: PMC10547340 DOI: 10.1161/jaha.122.030506] [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: 04/10/2023] [Accepted: 06/15/2023] [Indexed: 09/01/2023]
Abstract
Background Racially and ethnically minoritized groups, people with lower income, and rural communities have worse access to percutaneous coronary intervention (PCI) than their counterparts, but PCI hospitals have preferentially opened in wealthier areas. Our study analyzed disparities in PCI access, treatment, and outcomes for patients with acute myocardial infarction based on the census-derived Area Deprivation Index. Methods and Results We obtained patient-level data on 629 419 patients with acute myocardial infarction in California between January 1, 2006 and December 31, 2020. We linked patient data with population characteristics and geographic coordinates, and categorized communities into 5 groups based on the share of the population in low or high Area Deprivation Index neighborhoods to identify differences in PCI access, treatment, and outcomes based on community status. Risk-adjusted models showed that patients in the most advantaged communities had 20% and 15% greater likelihoods of receiving same-day PCI and PCI during the hospitalization, respectively, compared with patients in the most disadvantaged communities. Patients in the most advantaged communities also had 19% and 16% lower 30-day and 1-year mortality rates, respectively, compared with the most disadvantaged, and a 15% lower 30-day readmission rate. No statistically significant differences in admission to a PCI hospital were observed between communities. Conclusions Patients in disadvantaged communities had lower chances of receiving timely PCI and a greater risk of mortality and readmission compared with those in more advantaged communities. These findings suggest a need for targeted interventions to influence where cardiac services exist and who has access to them.
Collapse
Affiliation(s)
- Yu‐Chu Shen
- Department of Defense ManagementNaval Postgraduate SchoolMontereyCAUSA
- National Bureau of Economic ResearchCambridgeMAUSA
| | | | - Renee Y. Hsia
- Department of Emergency MedicineUniversity of California, San FranciscoCAUSA
- Philip R. Lee Institute for Health Policy StudiesUniversity of California, San FranciscoCAUSA
| |
Collapse
|
12
|
Awan S, Saini G, Gogineni K, Luningham JM, Collin LJ, Bhattarai S, Aneja R, Williams CP. Associations between health insurance status, neighborhood deprivation, and treatment delays in women with breast cancer living in Georgia. Cancer Med 2023; 12:17331-17339. [PMID: 37439033 PMCID: PMC10501236 DOI: 10.1002/cam4.6341] [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] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 06/29/2023] [Accepted: 07/02/2023] [Indexed: 07/14/2023] Open
Abstract
BACKGROUND Little is known regarding the association between insurance status and treatment delays in women with breast cancer and whether this association varies by neighborhood socioeconomic deprivation status. METHODS In this cohort study, we used medical record data of women diagnosed with breast cancer between 2004 and 2022 at two Georgia-based healthcare systems. Treatment delay was defined as >90 days to surgery or >120 days to systemic treatment. Insurance coverage was categorized as private, Medicaid, Medicare, other public, or uninsured. Area deprivation index (ADI) was used as a proxy for neighborhood-level socioeconomic status. Associations between delayed treatment and insurance status were analyzed using logistic regression, with an interaction term assessing effect modification by ADI. RESULTS Of the 14,195 women with breast cancer, 54% were non-Hispanic Black and 52% were privately insured. Compared with privately insured patients, those who were uninsured, Medicaid enrollees, and Medicare enrollees had 79%, 75%, and 27% higher odds of delayed treatment, respectively (odds ratio [OR]: 1.79, 95% confidence interval [CI]: 1.32-2.43; OR: 1.75, 95% CI: 1.43-2.13; OR: 1.27, 95% CI: 1.06-1.51). Among patients living in low-deprivation areas, those who were uninsured, Medicaid enrollees, and Medicare enrollees had 100%, 84%, and 26% higher odds of delayed treatment than privately insured patients (OR: 2.00, 95% CI: 1.44-2.78; OR: 1.84, 95% CI: 1.48-2.30; OR: 1.26, 95% CI: 1.05-1.53). No differences in the odds of delayed treatment by insurance status were observed in patients living in high-deprivation areas. DISCUSSION/CONCLUSION Insurance status was associated with treatment delays for women living in low-deprivation neighborhoods. However, for women living in neighborhoods with high deprivation, treatment delays were observed regardless of insurance status.
Collapse
Affiliation(s)
- Sofia Awan
- School of Public Health, Georgia State UniversityAtlantaGeorgiaUSA
| | - Geetanjali Saini
- Department of Clinical and Diagnostic Sciences, School of Health ProfessionsUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Keerthi Gogineni
- Department of Hematology–Medical OncologyWinship Cancer Institute, Emory University School of MedicineAtlantaGeorgiaUSA
- Department of SurgeryWinship Cancer Institute, Emory University School of MedicineAtlantaGeorgiaUSA
- Georgia Cancer Center for Excellence, Grady Health SystemAtlantaGeorgiaUSA
| | - Justin M. Luningham
- Department of Biostatistics and Epidemiology, School of Public HealthUniversity of North Texas Health Science CenterFort WorthTexasUSA
| | - Lindsay J. Collin
- Department of Population Health SciencesHuntsman Cancer Institute, University of UtahSalt Lake CityUtahUSA
| | - Shristi Bhattarai
- Department of Clinical and Diagnostic Sciences, School of Health ProfessionsUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Ritu Aneja
- Department of Clinical and Diagnostic Sciences, School of Health ProfessionsUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Courtney P. Williams
- Department of Medicine, Division of Preventive MedicineUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| |
Collapse
|
13
|
Sharma I, Karen Campbell M, Choi YH, Luginaah I, Were JM, Vargas-Gonzalea JC, Stranges S. Does the place of residence influence your risk of being hypertensive? A study-based on Nepal Demographic and Health Survey. Hypertens Res 2023. [PMID: 36890270 DOI: 10.1038/s41440-023-01217-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 03/10/2023]
Abstract
Even though several studies have examined various risk factors for hypertension, residential influence is poorly explored especially in the low-income countries. We aim to investigate the association between residential characteristics and hypertension in resource limited and transitional settings like Nepal. A total of 14,652 individuals aged 15 and above were selected from 2016-Nepal Demographic and Health Survey. Individuals with blood pressure ≥140/90 mmHg or a history of hypertension (as identified by physicians/health professionals) or under antihypertensive medication were defined as hypertensive. Residential characteristics were represented by area level deprivation index, with a higher score representing higher level of deprivation. Association was explored using a two-level logistic regression. We also assessed if residential area modifies the association between individual socio-economic status and hypertension. Area deprivation had a significant inverse association with the risk of hypertension. Individuals from the least deprived areas had higher odds of hypertension compared to highly deprived areas 1.59 (95% CI 1.30, 1.89). Additionally, the association between literacy a proxy of socio-economic status and hypertension varied with a place of residence. Literate individuals from highly deprived areas were likely to have a higher odds of hypertension compared to those with no formal education. In contrast, literate from the least deprived areas had lower odds of hypertension. These results identify counterintuitive patterns of associations between residential characteristics and hypertension in Nepal, as compared with most of the epidemiological data from high-income countries. Differential stages of demographic and nutritional transitions between and within the countries might explain these associations.
Collapse
|
14
|
Zhang D, Blazar P, Earp BE. The Effect of Socioeconomic Disparity on Improvement in QuickDASH at 3 Months after Carpal Tunnel Release. Plast Reconstr Surg Glob Open 2023; 11:e4878. [PMID: 36923712 DOI: 10.1097/GOX.0000000000004878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 01/31/2023] [Indexed: 03/14/2023]
Abstract
The primary objective of this study was to determine the association between socioeconomic disparity and improvement in QuickDASH score 3 months after carpal tunnel release (CTR). The secondary objectives of this study were to determine the association between socioeconomic disparity and baseline preoperative QuickDASH score and 3 months postoperative QuickDASH score after CTR. Methods A single-institutional, prospective, longitudinal study was performed of 85 patients who underwent isolated, unilateral CTR for idiopathic carpal tunnel syndrome. Sixty-three patients (74%) who completed patient-reported outcome measures at 3 months after surgery comprised our study cohort. Socioeconomic disparity was assessed using the zip code level Distressed Communities Index (DCI) and the neighborhood level Area Deprivation Index. The outcome variables were the improvement in the QuickDASH score, 3 months postoperative QuickDASH score, and the preoperative QuickDASH score. Associations between continuous variables were assessed using simple linear regression. Results The mean DCI of the study cohort was in the 23rd national percentile, and the mean Area Deprivation Index was in the 15th national percentile. The mean preoperative QuickDASH of the study cohort was 49.3. The mean 3 months postoperative QuickDASH of the study cohort was 29.8. The mean improvement in QuickDASH at 3 months after surgery was 19.5, which was statistically significant and clinically meaningful. Area Deprivation Index and DCI were not associated with improvement in QuickDASH score or 3 months postoperative QuickDASH score. Higher DCI was associated with poorer baseline preoperative QuickDASH score. Conclusion Patients of various socioeconomic backgrounds can expect similar short-term improvements in symptoms and function after CTR.
Collapse
|
15
|
Tuan WJ, Leinbach LI, Gill SA. Assessing Risks of Early Childhood Caries in Primary Care Practice Using Electronic Health Records and Neighborhood Data. J Public Health Manag Pract 2023; 29:178-185. [PMID: 36126220 PMCID: PMC9897270 DOI: 10.1097/phh.0000000000001630] [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] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
CONTEXT Early childhood caries (ECC) is a persistent public health challenge, affecting more than 56% of US toddlers and preschool-aged children. Despite this, ECC is largely preventable with routine oral hygiene practices, diet, and application of topical fluoride. OBJECTIVE This study assessed the utilization of preventive oral health care in primary care practices and evaluated the variation in patient characteristic and geographic disparities. DESIGN We conducted a retrospective study using electronic health records (EHRs) over a 2-year period. Patients' home addresses were geocoded and linked to census-based neighborhood statistics and fluoridated water accessibility. Multiple logistic regression modeling was used to assess the risk of ECC in patients with fluoride preventive care, controlled for demographics, comorbid conditions, and neighborhood risk factors. PARTICIPANTS Patients aged 6 to 71 months who had primary care providers at family medicine and general pediatric clinics in a large academic medical center. MAIN OUTCOME MEASURE The presence of dental caries based on diagnoses in EHRs. RESULTS The study consisted of 10 836 patients: 17% treated with topical fluoride varnish (TFV), 12% prescribed oral fluoride supplement, 6.1% with both TFV and supplement, and 64% without fluoride treatment. Patients with fluoride treatment were 24% to 53% less likely to have ECC. Children living in rural and nonfluoridated water communities had 1.7 to 1.8 times greater risk of developing ECC. Minority, under/uninsured, and low-income patients also were at an increased risk of ECC. CONCLUSION Despite continuing efforts to improve access to dental care for vulnerable populations, substantial disparities remain among socioeconomically disadvantaged children. To address dental care shortage, primary care clinicians should serve as the safety net to care for vulnerable and underserved children who have no or limited access to oral health services. Future research into the collaboration between primary care and dental providers at the level of both practice and professional education should be considered.
Collapse
Affiliation(s)
- Wen-Jan Tuan
- Departments of Family and Community Medicine (Drs Tuan and Gill), Public Health Sciences (Drs Tuan and Leinbach), and Surgery (Dr Leinbach), College of Medicine, Pennsylvania State University, Hershey, Pennsylvania
| | - Leah I. Leinbach
- Departments of Family and Community Medicine (Drs Tuan and Gill), Public Health Sciences (Drs Tuan and Leinbach), and Surgery (Dr Leinbach), College of Medicine, Pennsylvania State University, Hershey, Pennsylvania
| | - Stephanie A. Gill
- Departments of Family and Community Medicine (Drs Tuan and Gill), Public Health Sciences (Drs Tuan and Leinbach), and Surgery (Dr Leinbach), College of Medicine, Pennsylvania State University, Hershey, Pennsylvania
| |
Collapse
|
16
|
Abstract
IMPORTANCE Although access to pediatric cancer care has implications for use of such care and patient outcomes, little is known about the geographic accessibility of pediatric cancer care and how it may vary by population characteristics across the continental US. OBJECTIVE To estimate the travel time to pediatric cancer care settings in the continental US, identify potential disparities among subgroups of children and adolescents and young adults (AYAs), and identify areas needing improved access to pediatric cancer care. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study collected data from August 1 to December 1, 2021. Pediatric oncologists' service locations in 2021 served as the pediatric cancer care settings, data for which were scraped from 2 websites containing information about health professionals. Demographic characteristics for younger children and AYAs aged 0 to 21 years were obtained from the 2015 to 2019 American Community Survey 5-year estimates. Data were analyzed from January 1 to April 31, 2022. MAIN OUTCOMES AND MEASURES The main outcome was the travel time from geographic centroids of zip code tabulation areas to the nearest pediatric oncologist. The median (IQR) travel times for each demographic subgroup were estimated. Per capita pediatric oncologist supply was calculated by dividing the total number of pediatric oncologists for each state or US Census division by its population. RESULTS Of the 90 498 890 children and AYAs included in the study, 63.6% were estimated to travel less than 30 minutes and 19.7% to travel between 30 and 60 minutes (for a total of 83.3%) to the nearest pediatric oncologist. Median (IQR) travel times were longest for the American Indian or Alaska Native pediatric population (46 [16-104] minutes) and residents of rural areas (95 [68-135] minutes), areas with high deprivation levels (36 [13-72] minutes), and the South (24 [13-47] minutes) and Midwest (22 [11-51] minutes) compared with the general population of children and AYAs. The pediatric oncologist supply was lowest in Wyoming (0 oncologists per 100 000 pediatric population) and highest in Washington, DC (53.3 oncologists per 100 000 pediatric population). Pediatric oncologist supply across Census divisions was lowest in the Mountain division (3.3 oncologists per 100 000 pediatric population) and highest in the New England division (8.1 oncologists per 100 000 pediatric population). CONCLUSIONS AND RELEVANCE Results of this study showed that most children and AYAs in the continental US had adequate access to pediatric cancer care, although disparities existed among racial and ethnic groups and residents in rural areas, areas with high deprivation levels, and some Southern and Midwestern states. Reducing these disparities may require innovative approaches, such as expanding the capabilities of local facilities and creating partnerships with adult oncology centers and primary care physicians.
Collapse
Affiliation(s)
- Xiaohui Liu
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City
| | - Mark N. Fluchel
- Division of Pediatric Hematology-Oncology, Seattle Children's Hospital, Seattle, Washington
- Department of Pediatrics, University of Washington School of Medicine, Seattle
| | - Anne C. Kirchhoff
- Department of Pediatrics, School of Medicine, Cancer Control and Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City
| | - Haojie Zhu
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City
| | - Tracy Onega
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City
| |
Collapse
|
17
|
Hassan AM, Nguyen HT, Corkum JP, Liu J, Kapur SK, Chu CK, Tamirisa N, Offodile AC. Area Deprivation Index is Associated with Variation in Quality of Life and Psychosocial Well-being Following Breast Cancer Surgery. Ann Surg Oncol 2023; 30:80-87. [PMID: 36085393 DOI: 10.1245/s10434-022-12506-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 08/18/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND Neighborhood-level factors have been shown to influence surgical outcomes through material deprivation, psychosocial mechanisms, health behaviors, and access to resources. To date, no study has examined the relationship between area-level deprivation (ADI) and post-mastectomy outcomes. METHODS A cross-sectional survey of adult female breast cancer patients who underwent lumpectomy or mastectomy between January 2018 to June 2019 was carried out. Patient-specific characteristics and ADI information were abstracted and correlated with postoperative global- (SF-12) and condition-specific (BREAST-Q) quality-of-life performance via multivariable regression. Patients were classified into three ADI terciles: 0-39 (low deprivation), 40-59 (moderate deprivation), and 60-100 (high deprivation). RESULTS A total of 564 consecutive patients were identified, being mostly white (75%) with mean age of 60.2 ± 12.4 years, median body mass index of 27.8 [interquartile range (IQR) 24.3-32.2) kg/m2, median Charlson Comorbidity Index of 3 (IQR 2-5), and mean ADI of 42.3 ± 25.7. African American and Hispanic patients and those with high BMI were more likely to reside in highly deprived neighborhoods (p = 0.003 and p < 0.001). In adjusted models, patients in highly deprived neighborhoods had significantly lower mean SF-12 physical (44.9 [95% CI, 43.8-46.0] versus 44.9 [95% CI, 43.7-46.1] versus 46.3 [95% CI, 45.3-47.3], p = 0.03) and BREAST-Q psychosocial well-being scores (63.5 [95% CI, 59.32-67.8] versus 69.3 [95% CI, 65.1-73.6] versus 69.7 [95% CI, 66.4-73.1], p = 0.01) relative to moderate- and low-deprivation groups. CONCLUSIONS Patients residing in the most deprived neighborhoods were identified to have worse psychological well-being and quality-of-life. The ADI should be incorporated into the shared decision-making process and perioperative counseling to engender value-based and personalized care, especially for vulnerable populations.
Collapse
Affiliation(s)
- Abbas M Hassan
- Department of Plastic & Reconstructive Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Huan T Nguyen
- Department of Plastic & Reconstructive Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.,McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Joseph P Corkum
- Department of Plastic & Reconstructive Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jun Liu
- Department of Plastic & Reconstructive Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sahil K Kapur
- Department of Plastic & Reconstructive Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Carrie K Chu
- Department of Plastic & Reconstructive Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nina Tamirisa
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anaeze C Offodile
- Department of Plastic & Reconstructive Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. .,Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| |
Collapse
|
18
|
Ostergaard PJ, Hall MJ, Xiong G, Zhang D, Earp BE. Risk Factors for Implant Removal After Surgical Fixation of Midshaft Clavicle Fractures. Orthopedics 2022; 45:e201-e206. [PMID: 35245147 DOI: 10.3928/01477447-20220225-10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Midshaft clavicle fractures are common injuries that traditionally have been managed nonoperatively. However, recent literature has shown lower rates of nonunion and improved patient-reported outcomes with surgical management. The rate of implant removal after surgical fixation varies across the literature from 5% to 82%, depending on the method of fixation. We performed a retrospective review of all patients who underwent open reduction and internal fixation (ORIF) with plate-and-screw constructs for midshaft fractures of the clavicle at 2 level I trauma centers to determine the rate of implant removal and identify variables associated with implant removal. We collected all patient-, injury-, and treatment-specific factors as well as information on reoperation for removal of implants. Bivariate analysis and multivariable logistic regression analysis were used to assess whether explanatory factors were associated with removal of implants after ORIF for midshaft clavicle fractures. Of the 146 patients who were treated with ORIF for midshaft clavicle fractures with plate-and-screw constructs, 41 (28%) underwent removal of the implant. The median follow-up was 836 days (interquartile range, 457-1567 days). Variables associated with increased risk of implant removal included anterior plate position (odds ratio, 5.32; 95% CI, 2.01-14.1) and number of holes in the plate (odds ratio, 1.28; 95% CI, 1.00-1.63). These results question whether anterior plating results in less implant prominence and less subsequent removal of implants. [Orthopedics. 2022;45(4):e201-e206.].
Collapse
|
19
|
Hick JL, Hanfling D. COUNTERPOINT: Is Considering Social Determinants of Health Ethically Permissible for Fair Allocation of Critical Care Resources During the COVID-19 Pandemic? No. Chest 2022; 162:40-42. [PMID: 35809938 PMCID: PMC9257123 DOI: 10.1016/j.chest.2022.03.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 03/20/2022] [Indexed: 11/19/2022] Open
Affiliation(s)
- John L Hick
- Hennepin Healthcare, University of Minnesota, Minneapolis, MN.
| | - Dan Hanfling
- In-Q-Tel, George Washington University, Washington, DC
| |
Collapse
|
20
|
Baehr A, Fought AJ, Hsia RY, Wiler JL, Ginde AA. The association between area deprivation index and emergency department discharge rates and revisits. Acad Emerg Med 2022; 29:902-904. [PMID: 35304928 DOI: 10.1111/acem.14486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 03/15/2022] [Accepted: 03/17/2022] [Indexed: 11/27/2022]
Affiliation(s)
- Avi Baehr
- Department of Emergency Medicine University of Colorado School of Medicine Aurora Colorado USA
- Department of Emergency Medicine Denver Health Medical Center Denver Colorado USA
| | - Angela J. Fought
- Center for Innovative Design & Analysis, Department of Biostatistics & Informatics Colorado School of Public Health, University of Colorado Aurora Colorado USA
| | - Renee Y. Hsia
- Department of Emergency Medicine University of California San Francisco San Francisco California USA
- Philip R. Lee Institute for Health Policy Studies University of California San Francisco San Francisco California USA
| | - Jennifer L. Wiler
- Department of Emergency Medicine University of Colorado School of Medicine Aurora Colorado USA
| | - Adit A. Ginde
- Department of Emergency Medicine University of Colorado School of Medicine Aurora Colorado USA
| |
Collapse
|
21
|
Ryan P, Furniss A, Breslin K, Everhart R, Hanratty R, Rice J. Assessing and Augmenting Predictive Models for Hospital Readmissions With Novel Variables in an Urban Safety-net Population. Med Care 2021; 59:1107-1114. [PMID: 34593712 DOI: 10.1097/mlr.0000000000001653] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND The performance of existing predictive models of readmissions, such as the LACE, LACE+, and Epic models, is not established in urban safety-net populations. We assessed previously validated predictive models of readmission performance in a socially complex, urban safety-net population, and if augmentation with additional variables such as the Area Deprivation Index, mental health diagnoses, and housing access improves prediction. Through the addition of new variables, we introduce the LACE-social determinants of health (SDH) model. METHODS This retrospective cohort study included adult admissions from July 1, 2016, to June 30, 2018, at a single urban safety-net health system, assessing the performance of the LACE, LACE+, and Epic models in predicting 30-day, unplanned rehospitalization. The LACE-SDH development is presented through logistic regression. Predictive model performance was compared using C-statistics. RESULTS A total of 16,540 patients met the inclusion criteria. Within the validation cohort (n=8314), the Epic model performed the best (C-statistic=0.71, P<0.05), compared with LACE-SDH (0.67), LACE (0.65), and LACE+ (0.61). The variables most associated with readmissions were (odds ratio, 95% confidence interval) against medical advice discharge (3.19, 2.28-4.45), mental health diagnosis (2.06, 1.72-2.47), and health care utilization (1.94, 1.47-2.55). CONCLUSIONS The Epic model performed the best in our sample but requires the use of the Epic Electronic Health Record. The LACE-SDH performed significantly better than the LACE and LACE+ models when applied to a safety-net population, demonstrating the importance of accounting for socioeconomic stressors, mental health, and health care utilization in assessing readmission risk in urban safety-net patients.
Collapse
Affiliation(s)
- Patrick Ryan
- Department of General Internal Medicine
- Ambulatory Care Services, Community Health Services, Denver Health & Hospital Authority, Denver
- Department of General Internal Medicine, University of Colorado School of Medicine, Anschutz Medical Campus
| | - Anna Furniss
- Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus
| | - Kristin Breslin
- Ambulatory Care Services, Community Health Services, Denver Health & Hospital Authority, Denver
| | - Rachel Everhart
- Ambulatory Care Services, Community Health Services, Denver Health & Hospital Authority, Denver
- Department of General Internal Medicine, University of Colorado School of Medicine, Anschutz Medical Campus
| | - Rebecca Hanratty
- Department of General Internal Medicine
- Ambulatory Care Services, Community Health Services, Denver Health & Hospital Authority, Denver
- Department of General Internal Medicine, University of Colorado School of Medicine, Anschutz Medical Campus
| | - John Rice
- Adult and Child Consortium for Health Outcomes Research and Delivery Science, University of Colorado Anschutz Medical Campus
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
| |
Collapse
|
22
|
Hick JL, Hanfling D, Wynia MK, Toner E. Crisis Standards of Care and COVID-19: What Did We Learn? How Do We Ensure Equity? What Should We Do? NAM Perspect 2021; 2021:202108e. [PMID: 34611605 DOI: 10.31478/202108e] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- John L Hick
- Hennepin Healthcare and University of Minnesota
| | | | | | - Eric Toner
- Johns Hopkins Center for Health Security
| |
Collapse
|
23
|
Gill TM, Zang EX, Murphy TE, Leo-Summers L, Gahbauer EA, Festa N, Falvey JR, Han L. Association Between Neighborhood Disadvantage and Functional Well-being in Community-Living Older Persons. JAMA Intern Med 2021; 181:1297-1304. [PMID: 34424276 PMCID: PMC8383163 DOI: 10.1001/jamainternmed.2021.4260] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [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: 12/19/2022]
Abstract
IMPORTANCE Neighborhood disadvantage is a novel social determinant of health that could adversely affect the functional well-being of older persons. Deficiencies in resource-poor environments can potentially be addressed through social and public health interventions. OBJECTIVE To evaluate whether estimates of active and disabled life expectancy differ on the basis of neighborhood disadvantage after accounting for individual-level socioeconomic characteristics and other prognostic factors. DESIGN, SETTING, AND PARTICIPANTS This prospective longitudinal cohort study included 754 nondisabled community-living persons, aged 70 years or older, who were members of the Precipitating Events Project in south central Connecticut from March 1998 to June 2020. MAIN OUTCOMES AND MEASURES Disability in 4 essential activities of daily living (bathing, dressing, walking, and transferring) was assessed each month. Scores on the Area Deprivation Index, a census-based socioeconomic measure with 17 education, employment, housing quality, and poverty indicators, were obtained through linkages with the 2000 Neighborhood Atlas. Area Deprivation Index scores were dichotomized at the 80th state percentile to distinguish neighborhoods that were disadvantaged (81-100) from those that were not (1-80). RESULTS Among the 754 participants, the mean (SD) age was 78.4 (5.3) years, and 487 (64.6%) were female. Within 5-year age increments from 70 to 90, active life expectancy was consistently lower in participants from neighborhoods that were disadvantaged vs not disadvantaged, and these differences persisted and remained statistically significant after adjustment for individual-level race and ethnicity, education, income, and other prognostic factors. At age 70 years, adjusted estimates (95% CI) for active life expectancy (in years) were 12.3 (11.5-13.1) in the disadvantaged group and 14.2 (13.5-14.7) in the nondisadvantaged group. At each age, participants from disadvantaged neighborhoods spent a greater percentage of their projected remaining life disabled, relative to those from nondisadvantaged neighborhoods, with adjusted values (SE) ranging from 17.7 (0.8) vs 15.3 (0.5) at age 70 years to 55.0 (1.7) vs 48.1 (1.3) at age 90 years. CONCLUSIONS AND RELEVANCE In this prospective longitudinal cohort study, living in a disadvantaged neighborhood was associated with lower active life expectancy and a greater percentage of projected remaining life with disability. By addressing deficiencies in resource-poor environments, new or expanded social and public health initiatives have the potential to improve the functional well-being of community-living older persons and, in turn, reduce health disparities in the US.
Collapse
Affiliation(s)
- Thomas M Gill
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Emma X Zang
- Department of Sociology, Yale University, New Haven, Connecticut
| | - Terrence E Murphy
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Linda Leo-Summers
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Evelyne A Gahbauer
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Natalia Festa
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Jason R Falvey
- Department of Physical Therapy and Rehabilitation Science, University of Maryland School of Medicine, Baltimore
| | - Ling Han
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| |
Collapse
|
24
|
Hick JL, Hanfling D, Wynia M, Toner E. Crisis Standards of Care and COVID-19: What Did We Learn? How Do We Ensure Equity? What Should We Do? NAM Perspect 2021. [DOI: 10.31478/202108d] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- John L. Hick
- Hennepin Healthcare and the University of Minnesota
| | | | | | - Eric Toner
- Johns Hopkins Center for Health Security
| |
Collapse
|
25
|
Berman AN, Biery DW, Ginder C, Singh A, Baek J, Wadhera RK, Wu WY, Divakaran S, DeFilippis EM, Hainer J, Cannon CP, Plutzky J, Polk DM, Nasir K, Di Carli MF, Ash AS, Bhatt DL, Blankstein R. Association of Socioeconomic Disadvantage With Long-term Mortality After Myocardial Infarction: The Mass General Brigham YOUNG-MI Registry. JAMA Cardiol 2021; 6:880-888. [PMID: 34009238 DOI: 10.1001/jamacardio.2021.0487] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [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] [Indexed: 12/14/2022]
Abstract
Importance Socioeconomic disadvantage is associated with poor health outcomes. However, whether socioeconomic factors are associated with post-myocardial infarction (MI) outcomes in younger patient populations is unknown. Objective To evaluate the association of neighborhood-level socioeconomic disadvantage with long-term outcomes among patients who experienced an MI at a young age. Design, Setting, and Participants This cohort study analyzed patients in the Mass General Brigham YOUNG-MI Registry (at Brigham and Women's Hospital and Massachusetts General Hospital in Boston, Massachusetts) who experienced an MI at or before 50 years of age between January 1, 2000, and April 30, 2016. Each patient's home address was mapped to the Area Deprivation Index (ADI) to capture higher rates of socioeconomic disadvantage. The median follow-up duration was 11.3 years. The dates of analysis were May 1, 2020, to June 30, 2020. Exposures Patients were assigned an ADI ranking according to their home address and then stratified into 3 groups (least disadvantaged group, middle group, and most disadvantaged group). Main Outcomes and Measures The outcomes of interest were all-cause and cardiovascular mortality. Cause of death was adjudicated from national registries and electronic medical records. Cox proportional hazards regression modeling was used to evaluate the association of ADI with all-cause and cardiovascular mortality. Results The cohort consisted of 2097 patients, of whom 2002 (95.5%) with an ADI ranking were included (median [interquartile range] age, 45 [42-48] years; 1607 male individuals [80.3%]). Patients in the most disadvantaged neighborhoods were more likely to be Black or Hispanic, have public insurance or no insurance, and have higher rates of traditional cardiovascular risk factors such as hypertension and diabetes. Among the 1964 patients who survived to hospital discharge, 74 (13.6%) in the most disadvantaged group compared with 88 (12.6%) in the middle group and 41 (5.7%) in the least disadvantaged group died. Even after adjusting for a comprehensive set of clinical covariates, higher neighborhood disadvantage was associated with a 32% higher all-cause mortality (hazard ratio, 1.32; 95% CI, 1.10-1.60; P = .004) and a 57% higher cardiovascular mortality (hazard ratio, 1.57; 95% CI, 1.17-2.10; P = .003). Conclusions and Relevance This study found that, among patients who experienced an MI at or before age 50 years, socioeconomic disadvantage was associated with higher all-cause and cardiovascular mortality even after adjusting for clinical comorbidities. These findings suggest that neighborhood and socioeconomic factors have an important role in long-term post-MI survival.
Collapse
Affiliation(s)
- Adam N Berman
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - David W Biery
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Curtis Ginder
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Avinainder Singh
- Department of Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Jonggyu Baek
- Division of Biostatistics and Health Services Research, University of Massachusetts Medical School, Worcester
| | - Rishi K Wadhera
- Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Wanda Y Wu
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sanjay Divakaran
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Ersilia M DeFilippis
- Cardiovascular Division, New York Presbyterian-Columbia University Irving Medical Center, New York
| | - Jon Hainer
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Christopher P Cannon
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jorge Plutzky
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Donna M Polk
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Khurram Nasir
- Department of Cardiology, Houston Methodist Hospital, Houston, Texas
| | - Marcelo F Di Carli
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Arlene S Ash
- Division of Biostatistics and Health Services Research, University of Massachusetts Medical School, Worcester
| | - Deepak L Bhatt
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Ron Blankstein
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
26
|
Hodge JG, Hanfling D, Hick JL, Piatt JL. Diminishing disparities in U.S. crisis standards of care: Medical and legal challenges. EClinicalMedicine 2021; 34:100838. [PMID: 33898956 PMCID: PMC8060580 DOI: 10.1016/j.eclinm.2021.100838] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 03/25/2021] [Indexed: 11/26/2022] Open
Affiliation(s)
- James G. Hodge
- Center for Public Health Law and Policy, Sandra Day O'Connor College of Law, Arizona State University, 111 E. Taylor St., MC 9520, Phoenix, AZ 85004, United States
- Corresponding author.
| | - Dan Hanfling
- National Academy of Medicine Forum on Medical and Public Health Preparedness, Vice President, Technical Staff, In-Q-Tel, Clinical Professor, Department of Emergency Medicine, George Washington University, Washington, DC, United States
| | - John L. Hick
- National Academies of Medicine Forum on Medical and Public Health Preparedness, Faculty Emergency Physician, Hennepin Healthcare, Minneapolis, MN, United States
| | - Jennifer L. Piatt
- Center for Public Health Law and Policy, Sandra Day O'Connor College of Law, Arizona State University, Phoenix, AZ, United States
| |
Collapse
|
27
|
Thornton JD. To Understand the Disparities in Living Kidney Transplantation Outcomes, Look to the Community. JAMA Netw Open 2021; 4:e216390. [PMID: 33847754 PMCID: PMC9185838 DOI: 10.1001/jamanetworkopen.2021.6390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- J Daryl Thornton
- Center for Reducing Health Disparities, The MetroHealth Campus of Case Western Reserve University, Cleveland, Ohio
- Population Health Research Institute, The MetroHealth Campus of Case Western Reserve University, Cleveland, Ohio
- Division of Pulmonary, Critical Care, and Sleep Medicine, The MetroHealth Campus of Case Western Reserve University, Cleveland, Ohio
| |
Collapse
|
28
|
Zhang D, Blazar P, Earp BE. Factors Associated With Surgical Treatment of Nondisplaced or Minimally Displaced Scaphoid Waist Fractures. J Hand Surg Am 2021; 46:209-214.e1. [PMID: 33288391 DOI: 10.1016/j.jhsa.2020.10.020] [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] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 08/14/2020] [Accepted: 10/22/2020] [Indexed: 02/02/2023]
Abstract
PURPOSE To determine whether there are identifiable factors associated with the surgical treatment of nondisplaced or minimally displaced scaphoid waist fractures. METHODS We identified 50 patients who underwent nonsurgical treatment and 67 patients who underwent surgical treatment of nondisplaced or minimally displaced scaphoid waist fractures at 2 tertiary care referral centers in a single metropolitan area in the United States between January 2010 and March 2019. Bivariate analysis was used to screen for factors associated with surgical treatment. Multivariable stepwise logistic regression was used to determine factors associated with surgical treatment of a nondisplaced or minimally displaced scaphoid fracture. RESULTS Multivariable logistic regression analysis showed that male sex (odds ratio = 2.80; 95% confidence interval, 1.20-6.52) and employed status (odds ratio = 3.12, 95% confidence interval, 1.24-7.85) were associated with surgical treatment of nondisplaced or minimally displaced scaphoid waist fractures. CONCLUSIONS Male and employed patients have increased odds of undergoing scaphoid surgery for nondisplaced or minimally displaced waist fractures compared with female and unemployed patients. These differences may represent patient preference, surgeon counseling, or a combination. Further study is needed to understand the etiology of this sex difference. TYPE OF STUDY/LEVEL OF EVIDENCE Therapeutic IV.
Collapse
Affiliation(s)
- Dafang Zhang
- Department of Orthopaedic Surgery, Brigham and Women's Hospital, Boston, MA; Harvard Medical School, Boston, MA.
| | - Philip Blazar
- Department of Orthopaedic Surgery, Brigham and Women's Hospital, Boston, MA; Harvard Medical School, Boston, MA
| | - Brandon E Earp
- Department of Orthopaedic Surgery, Brigham and Women's Hospital, Boston, MA; Harvard Medical School, Boston, MA
| |
Collapse
|
29
|
Rosenzweig MQ, Althouse AD, Sabik L, Arnold R, Chu E, Smith TJ, Smith K, White D, Schenker Y. The Association Between Area Deprivation Index and Patient-Reported Outcomes in Patients with Advanced Cancer. Health Equity 2021; 5:8-16. [PMID: 33564735 PMCID: PMC7868579 DOI: 10.1089/heq.2020.0037] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/23/2020] [Indexed: 12/13/2022] Open
Abstract
Background: This analysis describes associations between area deprivation and patient-reported outcomes among patients with advanced cancer. Methods: This is a cross-sectional analysis of baseline data from a multisite primary palliative care intervention trial. Participants were adult patients with advanced cancer. Patient-level area deprivation scores were calculated using the Area Deprivation Index (ADI). Quality of life and symptom burden were measured. Uni- and multivariate regressions estimated associations between area deprivation and outcomes of interest. Results: Among 672 patients, ∼0.5 (54%) were women and most (94%) were Caucasian. Mean age was 69.3±10.2 years. Lung (36%), breast (13%), and colon (10%) were the most common malignancies. Mean ADI was 64.0, scale of 1 (low)-100 (high). In unadjusted univariate analysis, Functional Assessment of Cancer Therapy-Palliative (p=0.002), Edmonton Symptom Assessment Scale (p=0.025) and the Hospital Anxiety and Depression Scale anxiety (p=0.003) and depression (p=0.029) scores were significantly associated with residence in more deprived areas (p=0.003). In multivariate analysis, controlling for patient-level factors, living in more deprived areas was associated with more anxiety (p=0.019). Conclusion: Higher ADI was associated with higher levels of anxiety among patients with advanced cancer. Geographic information could assist clinicians with providing geographically influenced social support strategies.
Collapse
Affiliation(s)
- Margaret Quinn Rosenzweig
- Department of Acute and Tertiary Care, School of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Address correspondence to: Margaret Quinn Rosenzweig, PhD, CRNP, AOCNP, FAAN, Department of Acute and Tertiary Care, School of Nursing, University of Pittsburgh, 3500 Victoria Street, Victoria Building, Pittsburgh, PA 15261, USA,
| | - Andrew D. Althouse
- Center for Research on Health Care Data Center, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Lindsay Sabik
- Department of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Robert Arnold
- Division of General lnternal Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Edward Chu
- Division of Hematology/Oncology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Thomas J. Smith
- Harry J. Duffey Family Professor of Palliative Medicine, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland, USA
| | - Kenneth Smith
- Division of General lnternal Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Douglas White
- Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Yael Schenker
- Division of General lnternal Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| |
Collapse
|
30
|
Abstract
OBJECTIVES Socioeconomic disparities in life expectancy in the United States (US) are marked and have widened over time. However, there is limited research using individual-level socioeconomic variables as such information is generally lacking or unreliable in vital records used for life table construction. Using longitudinal cohort data, we computed life expectancy for US adults by social determinants such as education, income/poverty level, occupation, and housing tenure. METHODS We analyzed the 1997-2014 National Health Interview Survey prospectively linked to mortality records in the National Death Index (N=1,146,271). Standard life table methodologies were used to compute life expectancy and other life table functions at various ages according to socioeconomic variables stratified by sex and race/ethnicity. RESULTS Adults with at least a Master's degree had 14.7 years higher life expectancy at age 18 than those with less than a high school education and 8.3 years higher life expectancy than those with a high school education. Poverty was inversely related to life expectancy. Individuals living in poverty had 10.5 years lower life expectancy at age 18 than those with incomes ≥400% of the poverty threshold. Laborers and those employed in craft and repair occupations had, respectively, 10.9 years and 8.6 years lower life expectancy at age 18 than those with professional and managerial occupations. Male and female renters had, respectively, 4.0 years and 4.6 years lower life expectancy at age 18 than homeowners. Women in the most advantaged socioeconomic group outlived men in the most disadvantaged group by 23.5 years at age 18. CONCLUSIONS AND GLOBAL HEALTH IMPLICATIONS Marked socioeconomic gradients in US life expectancy were found across all sex and racial/ethnic groups. Adults with lower education, higher poverty levels, in manual occupations, and with rental housing had substantially lower life expectancy compared to their counterparts with higher socioeconomic position.
Collapse
Affiliation(s)
- Gopal K Singh
- US Department of Health and Human Services, Health Resources and Services Administration, Office of Health Equity, 5600 Fishers Lane, Rockville, MD 20857, USA
| | - Hyunjung Lee
- US Department of Health and Human Services, Health Resources and Services Administration, Office of Health Equity, 5600 Fishers Lane, Rockville, MD 20857, USA.,Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN 37831, USA
| |
Collapse
|
31
|
Berman AN, Biery DW, Ginder C, Hulme OL, Marcusa D, Leiva O, Wu WY, Singh A, Divakaran S, Hainer J, Turchin A, Januzzi JL, Natarajan P, Cannon CP, Di Carli MF, Bhatt DL, Blankstein R. Study of lipoprotein(a) and its impact on atherosclerotic cardiovascular disease: Design and rationale of the Mass General Brigham Lp(a) Registry. Clin Cardiol 2020; 43:1209-1215. [PMID: 32893370 PMCID: PMC7661644 DOI: 10.1002/clc.23456] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 08/20/2020] [Accepted: 08/22/2020] [Indexed: 12/24/2022] Open
Abstract
Lipoprotein(a) [Lp(a)] is independently associated with atherosclerotic cardiovascular disease and calcific aortic valve stenosis. Elevated Lp(a) affects approximately one in five individuals and meaningfully contributes to the residual cardiovascular risk in individuals with otherwise well-controlled risk factors. With targeted therapies in the therapeutic pipeline, there is a need to further characterize the clinical phenotypes and outcomes of individuals with elevated levels of this unique biomarker. The Mass General Brigham Lp(a) Registry will be built from the longitudinal electronic health record of two large academic medical centers in Boston, Massachusetts, to develop a detailed cohort of patients who have had their Lp(a) measured. In combination with structured data sources, clinical documentation will be analyzed using natural language processing techniques to accurately characterize baseline characteristics. Important outcome measures including all-cause mortality, cardiovascular mortality, and cardiovascular events will be available for analysis. Approximately 30 000 patients who have had their Lp(a) tested within the Mass General Brigham system from January 2000 to July 2019 will be included in the registry. This large Lp(a) cohort will provide meaningful observational data regarding the differential risk associated with Lp(a) values and cardiovascular disease. With a new frontier of targeted Lp(a) therapies on the horizon, the Mass General Brigham Lp(a) Registry will help provide a deeper understanding of Lp(a)'s role in long term cardiovascular outcomes.
Collapse
Affiliation(s)
- Adam N. Berman
- Cardiovascular Division, Department of MedicineBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - David W. Biery
- Cardiovascular Division, Department of MedicineBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Curtis Ginder
- Department of MedicineBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Olivia L. Hulme
- Department of MedicineBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Daniel Marcusa
- Department of MedicineBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Orly Leiva
- Department of MedicineBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Wanda Y. Wu
- Cardiovascular Division, Department of MedicineBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Avinainder Singh
- Department of MedicineYale University School of MedicineNew HavenConnecticutUSA
| | - Sanjay Divakaran
- Cardiovascular Division, Department of MedicineBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Jon Hainer
- Department of RadiologyBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Alexander Turchin
- Division of Endocrinology, Department of MedicineBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - James L. Januzzi
- Cardiology DivisionMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Pradeep Natarajan
- Cardiology DivisionMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Christopher P. Cannon
- Cardiovascular Division, Department of MedicineBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Marcelo F. Di Carli
- Cardiovascular Division, Department of MedicineBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
- Department of RadiologyBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Deepak L. Bhatt
- Cardiovascular Division, Department of MedicineBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Ron Blankstein
- Cardiovascular Division, Department of MedicineBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
- Department of RadiologyBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| |
Collapse
|
32
|
Ryan PP, Hawkins KL, Altman S, Granatowski L, Shy BD, Long J, Hanratty R. A novel virtual hospital at home model during the coronavirus disease 2019 (COVID-19) pandemic. Infect Control Hosp Epidemiol 2021; 42:1140-2. [PMID: 32829735 DOI: 10.1017/ice.2020.435] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
|
33
|
Streeter RA, Snyder JE, Kepley H, Stahl AL, Li T, Washko MM. The geographic alignment of primary care Health Professional Shortage Areas with markers for social determinants of health. PLoS One 2020; 15:e0231443. [PMID: 32330143 PMCID: PMC7182224 DOI: 10.1371/journal.pone.0231443] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 03/12/2020] [Indexed: 12/02/2022] Open
Abstract
Background The Health Resources and Services Administration (HRSA), an agency within the U.S. Department of Health and Human Services (HHS), works to ensure accessible, quality, health care for the nation’s underserved populations, especially those who are medically, economically, or geographically vulnerable. HRSA-designated primary care Health Professional Shortage Areas (pcHPSAs) provide a vital measure by which to identify underserved populations and prioritize locations and populations lacking access to adequate primary and preventive health care–the foundation for advancing health equity and maintaining health and wellness for individuals and populations. However, access to care is a complex, multifactorial issue that involves more than just the number of health care providers available, and pcHPSAs alone cannot fully characterize the distribution of medically, economically, and geographically vulnerable populations. Methods and findings In this county-level analysis, we used descriptive statistics and multiple correspondence analysis to assess how HRSA’s pcHPSA designations align geographically with other established markers of medical, economic, and geographic vulnerability. Reflecting recognized social determinants of health (SDOH), markers included demographic characteristics, race and ethnicity, rates of low birth weight births, median household income, poverty, educational attainment, and rurality. Nationally, 96 percent of U.S. counties were either classified as whole county or partial county pcHPSAs or had one or more established markers of medical, economic, or geographic vulnerability in 2017, suggesting that at-risk populations were nearly ubiquitous throughout the nation. Primary care HPSA counties in HHS Regions 4 and 6 (largely lying within the southeastern and south central United States) had the most pervasive and complex patterns in population risk. Conclusion HHS Regions displayed unique signatures with respect to SDOH markers. Descriptive and analytic findings from our work may help inform health workforce and health care planning at all levels, and, by illustrating both the complexity of and differences in county-level population characteristics in pcHPSA counties, our findings may have relevance for strengthening the delivery of primary care and addressing social determinants of health in areas beset by provider shortages.
Collapse
Affiliation(s)
- Robin A. Streeter
- National Center for Health Workforce Analysis (NCHWA), Bureau of Health Workforce (BHW), Health Resources and Services Administration (HRSA), U.S. Department of Health and Human Services (HHS), Rockville, Maryland, United States of America
- * E-mail:
| | - John E. Snyder
- Office of Planning, Analysis, and Evaluation (OPAE), Health Resources and Services Administration (HRSA), U.S. Department of Health and Human Services (HHS), Rockville, Maryland, United States of America
| | - Hayden Kepley
- National Center for Health Workforce Analysis (NCHWA), Bureau of Health Workforce (BHW), Health Resources and Services Administration (HRSA), U.S. Department of Health and Human Services (HHS), Rockville, Maryland, United States of America
| | - Anne L. Stahl
- National Center for Health Workforce Analysis (NCHWA), Bureau of Health Workforce (BHW), Health Resources and Services Administration (HRSA), U.S. Department of Health and Human Services (HHS), Rockville, Maryland, United States of America
| | - Tiandong Li
- National Center for Health Workforce Analysis (NCHWA), Bureau of Health Workforce (BHW), Health Resources and Services Administration (HRSA), U.S. Department of Health and Human Services (HHS), Rockville, Maryland, United States of America
| | - Michelle M. Washko
- National Center for Health Workforce Analysis (NCHWA), Bureau of Health Workforce (BHW), Health Resources and Services Administration (HRSA), U.S. Department of Health and Human Services (HHS), Rockville, Maryland, United States of America
| |
Collapse
|