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Mack DS, Baek J, Tjia J, Lapane KL. Geographic Variation of Statin Use Among US Nursing Home Residents With Life-limiting Illness. Med Care 2021; 59:425-436. [PMID: 33560713 PMCID: PMC8791012 DOI: 10.1097/mlr.0000000000001505] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Medically compromised nursing home residents continue to be prescribed statins, despite questionable benefits. OBJECTIVE To describe regional variation in statin use among residents with life-limiting illness. RESEARCH DESIGN Cross-sectional study using 2016 Minimum Data Set 3.0 assessments linked to Medicare administrative data and health service utilization area resource files. SETTING Nursing homes (n=14,147) within hospital referral regions (n=306) across the United States. SUBJECTS Long-stay residents (aged 65 y and older) with life-limiting illness (eg, serious illness, palliative care, or prognosis <6 mo to live) (n=361,170). MEASURES Prevalent statin use was determined by Medicare Part D claims. Stratified by age (65-75, 76 y or older), multilevel logistic models provided odds ratios with 95% confidence intervals. RESULTS Statin use was prevalent (age 65-75 y: 46.0%, 76 y or more: 31.6%). For both age groups, nearly all resident-level variables evaluated were associated with any and high-intensity statin use and 3 facility-level variables (ie, higher proportions of Black residents, skilled nursing care provided, and average number of medications per resident) were associated with increased odds of statin use. Although in residents aged 65-75 years, no associations were observed, residents aged 76 years or older located in hospital referral regions (HRRs) with the highest health care utilization had higher odds of statin use than those in nursing homes in HRRs with the lowest health care utilization. CONCLUSIONS Our findings suggest extensive geographic variation in US statin prescribing across HRRs, especially for those aged 76 years or older. This variation may reflect clinical uncertainty given the largely absent guidelines for statin use in nursing home residents.
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Affiliation(s)
- Deborah S. Mack
- Division of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA
- Clinical and Population Health Research Program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Jonggyu Baek
- Division of Biostatistics and Health Services Research, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Jennifer Tjia
- Division of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Kate L. Lapane
- Division of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA
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Bots SH, Inia JA, Peters SAE. Medication Adherence After Acute Coronary Syndrome in Women Compared With Men: A Systematic Review and Meta-Analysis. Front Glob Womens Health 2021; 2:637398. [PMID: 34816194 PMCID: PMC8594018 DOI: 10.3389/fgwh.2021.637398] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 01/15/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Pharmacological treatment is an important component of secondary prevention in acute coronary syndrome (ACS) survivors. However, adherence to medication regimens is often suboptimal, reducing the effectiveness of treatment. It has been suggested that sex influences adherence to cardiovascular medication, but results differ across studies, and a systematic overview is lacking. Methods: We performed a systematic search of PubMed and EMBASE on 16 October 2019. Studies that reported sex-specific adherence for one or more specific medication classes for ACS patients were included. Odds ratios, or equivalent, were extracted per medication class and combined using a random effects model. Results: In total, we included 28 studies of which some had adherence data for more than one medication group. There were 7 studies for angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin II receptor blockers (ARBs) (n = 100,909, 37% women), 8 studies for antiplatelet medication (n = 37,804, 27% women), 11 studies for beta-blockers (n = 191,339, 38% women), and 17 studies for lipid-lowering medication (n = 318,837, 35% women). Women were less adherent to lipid-lowering medication than men (OR = 0.87, 95% CI 0.82-0.92), but this sex difference was not observed for antiplatelet medication (OR = 0.95, 95% CI 0.83-1.09), ACEIs/ARBs (OR = 0.95, 95% CI 0.78-1.17), or beta-blockers (OR = 0.97, 95% CI 0.86-1.11). Conclusion: Women with ACS have poorer adherence to lipid-lowering medication than men with the same condition. There are no differences in adherence to antiplatelet medication, ACEIs/ARBs, and beta-blockers between women and men with ACS.
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Affiliation(s)
- Sophie H. Bots
- Laboratory for Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Jose A. Inia
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Sanne A. E. Peters
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Imperial College London, The George Institute for Global Health, London, United Kingdom
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3
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Lauffenburger JC, Fontanet CP, Isaac T, Gopalakrishnan C, Sequist TD, Gagne JJ, Jackevicius CA, Fischer MA, Solomon DH, Choudhry NK. Comparison of a new 3-item self-reported measure of adherence to medication with pharmacy claims data in patients with cardiometabolic disease. Am Heart J 2020; 228:36-43. [PMID: 32768690 DOI: 10.1016/j.ahj.2020.06.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 06/17/2020] [Indexed: 01/17/2023]
Abstract
BACKGROUND Less than half of patients with cardiometabolic disease consistently take prescribed medications. While health insurers and some delivery organizations use claims to measure adherence, most clinicians do not have access during routine interactions. Self-reported scales exist, but their practical utility is often limited by length or cost. By contrast, the accuracy of a new 3-item self-reported measure has been demonstrated in individuals with HIV. We evaluated its concordance with claims-based adherence measures in cardiometabolic disease. METHODS We used data from a recently-completed pragmatic trial of patients with cardiometabolic conditions. After 12 months of follow-up, intervention subjects were mailed a survey with the 3-item measure that queries about medication use in the prior 30 days. Responses were linearly transformed and averaged. Adherence was also measured in claims in month 12 and months 1-12 of the trial using proportion of days covered (PDC) metrics. We compared validation metrics for non-adherence for self-report (average <0.80) compared with claims (PDC <0.80). RESULTS Of 459 patients returning the survey (response rate: 43.5%), 50.1% were non-adherent in claims in month 12 while 20.9% were non-adherent based on the survey. Specificity of the 3-item metric for non-adherence was high (month 12: 0.83). Sensitivity was relatively poor (month 12: 0.25). Month 12 positive and negative predictive values were 0.59 and 0.52, respectively. CONCLUSIONS A 3-item self-reported measure has high specificity but poor sensitivity for non-adherence versus claims in cardiometabolic disease. Despite this, the tool could help target those needing adherence support, particularly in the absence of claims data.
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Affiliation(s)
- Julie C Lauffenburger
- Center for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
| | - Constance P Fontanet
- Center for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | | | - Chandrasekar Gopalakrishnan
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Thomas D Sequist
- Division of General Internal Medicine and Department of Health Care Policy, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Joshua J Gagne
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Cynthia A Jackevicius
- Western University of Health Sciences, Pomona, CA, USA; VA Greater Los Angeles Healthcare System, Los Angeles, CA; Institute for Health Policy, Management and Evaluation, University of Toronto; and ICES, University Health Network, Toronto, Canada
| | - Michael A Fischer
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Daniel H Solomon
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Division of Rheumatology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Niteesh K Choudhry
- Center for Healthcare Delivery Sciences (C4HDS), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
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4
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Bittner V, Colantonio LD, Dai Y, Woodward M, Mefford MT, Rosenson RS, Muntner P, Monda KL, Kilgore ML, Jaeger BC, Levitan EB. Association of Region and Hospital and Patient Characteristics With Use of High-Intensity Statins After Myocardial Infarction Among Medicare Beneficiaries. JAMA Cardiol 2019; 4:865-872. [PMID: 31339519 PMCID: PMC6659160 DOI: 10.1001/jamacardio.2019.2481] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Accepted: 05/31/2019] [Indexed: 01/14/2023]
Abstract
Importance High-intensity statin use after myocardial infarction (MI) varies by patient characteristics, but little is known about differences in use by hospital or region. Objective To explore the relative strength of associations of region and hospital and patient characteristics with high-intensity statin use after MI. Design, Setting, and Participants This retrospective cohort analysis used Medicare administrative claims and enrollment data to evaluate fee-for-service Medicare beneficiaries 66 years or older who were hospitalized for MI from January 1, 2011, through June 30, 2015, with a statin prescription claim within 30 days of discharge. Data were analyzed from January 4, 2017, through May 12, 2019. Exposures Beneficiary characteristics were abstracted from Medicare data. Hospital characteristics were obtained from the 2014 American Hospital Association Survey and Hospital Compare quality metrics. Nine regions were defined according to the US Census. Main Outcomes and Measures Intensity of the first statin claim after discharge characterized as high (atorvastatin calcium, 40-80 mg, or rosuvastatin calcium, 20-40 mg/d) vs low to moderate (all other statin types and doses). Trends in high-intensity statins were examined from 2011 through 2015. Associations of region and beneficiary and hospital characteristics with high-intensity statin use from January 1, 2014, to June 15, 2015, were examined using Poisson distribution mixed models. Results Among the 139 643 fee-for-service beneficiaries included (69 968 men [50.1%] and 69 675 women [49.9%]; mean [SD] age, 76.7 [7.5] years), high-intensity statin use overall increased from 23.4% in 2011 to 55.6% in 2015, but treatment gaps persisted across regions. In models considering region and beneficiary and hospital characteristics, region was the strongest correlate of high-intensity statin use, with 66% higher use in New England than in the West South Central region (risk ratio [RR], 1.66; 95% CI, 1.47-1.87). Hospital size of at least 500 beds (RR, 1.15; 95% CI, 1.07-1.23), medical school affiliation (RR, 1.11; 95% CI, 1.05-1.17), male sex (RR, 1.10; 95% CI, 1.07-1.13), and patient receipt of a stent (RR, 1.35; 95% CI, 1.31-1.39) were associated with greater high-intensity statin use. For-profit hospital ownership, patient age older than 75 years, prior coronary disease, and other comorbidities were associated with lower use. Conclusions and Relevance This study's findings suggest that geographic region is the strongest correlate of high-intensity statin use after MI, leading to large treatment disparities.
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Affiliation(s)
- Vera Bittner
- Division of Cardiovascular Disease, University of Alabama at Birmingham
| | | | - Yuling Dai
- Department of Epidemiology, University of Alabama at Birmingham
| | - Mark Woodward
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
- The George Institute for Global Health, University of Oxford, Oxford, United Kingdom
- Department of Epidemiology, The Johns Hopkins University, Baltimore, Maryland
| | | | | | - Paul Muntner
- Department of Epidemiology, University of Alabama at Birmingham
| | - Keri L. Monda
- Center for Observational Research, Amgen, Inc, Thousand Oaks, California
| | - Meredith L. Kilgore
- Department of Health Care Organization and Policy, University of Alabama at Birmingham
| | - Byron C. Jaeger
- Department of Biostatistics, University of Alabama at Birmingham
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5
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Ofori-Asenso R, Jakhu A, Curtis AJ, Zomer E, Gambhir M, Jaana Korhonen M, Nelson M, Tonkin A, Liew D, Zoungas S. A Systematic Review and Meta-analysis of the Factors Associated With Nonadherence and Discontinuation of Statins Among People Aged ≥65 Years. J Gerontol A Biol Sci Med Sci 2019; 73:798-805. [PMID: 29360935 DOI: 10.1093/gerona/glx256] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Accepted: 01/01/2018] [Indexed: 02/02/2023] Open
Abstract
Background Older individuals (aged ≥65 years) are commonly prescribed statins but may experience a range of barriers in adhering to therapy. The factors associated with poor statin adherence and/or discontinuation among this population have not been comprehensively reviewed. Methods We conducted a systematic review to identify English articles published through December 12, 2016 that reported factors associated with nonadherence and/or discontinuation of statins among older persons. Data were pooled via random-effects meta-analysis techniques. Results Forty-five articles reporting data from more than 1.8 million older statin users from 13 countries were included. The factors associated with increased statin nonadherence were black/non-white race (odds ratio [OR] 1.66, 95% confidence interval [CI] 1.39-1.98), female gender (OR 1.08, 95% CI 1.03-1.13), current smoker (OR 1.12, 95% CI 1.03-1.21), higher copayments (OR 1.38, 95% CI 1.25-1.52), new user (OR 1.58, 95% CI 1.21-2.07), lower number of concurrent cardiovascular medications (OR 1.08, 95% CI 1.06-1.09), primary prevention (OR 1.49, 95% CI 1.40-1.59), having respiratory disorders (OR 1.17, 95% CI 1.12-1.23) or depression (OR 1.11, 95% CI 1.06-1.16), and not having renal disease (OR 1.09, 95% CI 1.04-1.14). The factors associated with increased statin discontinuation were lower income status (OR 1.20, 95% CI 1.06-1.36), current smoker (OR 1.14, 95% CI 1.06-1.23), higher copayment (OR 1.61, 95% CI 1.53-1.70), higher number of medications (OR 1.04, 95% CI 1.01-1.06), presence of dementia (OR 1.18, 95% CI 1.02-1.36), cancer (OR 1.22, 95% CI 1.11-1.33) or respiratory disorders (OR 1.19, 95% CI 1.05-1.34), primary prevention (OR 1.66, 95% CI 1.24-2.22), and not having hypertension (OR 1.13, 95% CI 1.07-1.20) or diabetes (OR 1.09, 95% CI 1.04-1.15). Conclusion Interventions that target potentially modifiable factors including financial and social barriers, patients' perceptions about disease risk as well as polypharmacy may improve statin use in the older population.
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Affiliation(s)
- Richard Ofori-Asenso
- Centre of Cardiovascular Research and Education in Therapeutics, Department of Epidemiology and Preventive Medicine, Melbourne, Australia.,Epidemiological Modelling Unit, Department of Epidemiology and Preventive Medicine, Melbourne, Australia
| | - Avtar Jakhu
- Centre of Cardiovascular Research and Education in Therapeutics, Department of Epidemiology and Preventive Medicine, Melbourne, Australia
| | - Andrea J Curtis
- STAREE, Department of Epidemiology and Preventive Medicine, Melbourne, Australia
| | - Ella Zomer
- Centre of Cardiovascular Research and Education in Therapeutics, Department of Epidemiology and Preventive Medicine, Melbourne, Australia
| | - Manoj Gambhir
- Epidemiological Modelling Unit, Department of Epidemiology and Preventive Medicine, Melbourne, Australia
| | - Maarit Jaana Korhonen
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Science, Monash University, Melbourne, Australia
| | - Mark Nelson
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Andrew Tonkin
- Cardiovascular Research Unit, Department of Epidemiology and Preventive Medicine, Melbourne, Australia
| | - Danny Liew
- Centre of Cardiovascular Research and Education in Therapeutics, Department of Epidemiology and Preventive Medicine, Melbourne, Australia
| | - Sophia Zoungas
- STAREE, Department of Epidemiology and Preventive Medicine, Melbourne, Australia.,Division of Metabolism, Genomics and Ageing, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
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6
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Zullo AR, Sharmin S, Lee Y, Daiello LA, Shah NR, John Boscardin W, Dore DD, Lee SJ, Steinman MA. Secondary Prevention Medication Use After Myocardial Infarction in U.S. Nursing Home Residents. J Am Geriatr Soc 2017; 65:2397-2404. [PMID: 29044457 DOI: 10.1111/jgs.15144] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND/OBJECTIVES Secondary prevention medications are recommended for older adults after acute myocardial infarction (AMI), but little is known about whether nursing home (NH) residents receive these medications. The objective was to evaluate new use of secondary prevention medications after AMI in NH residents who were previously nonusers and to evaluate what factors were associated with use. DESIGN Retrospective cohort using linked national Minimum Data Set assessments; Online Survey, Certification and Reporting records; and Medicare claims. SETTING U.S. NHs. PARTICIPANTS National cohort of 11,192 NH residents aged 65 and older who were hospitalized for an AMI between May 2007 and March 2010, had no beta-blocker or statin use for 4 months or longer before the hospitalization, and survived 14 days or more after NH readmission. MEASUREMENTS The outcome was the number of secondary prevention medications initiated within 30 days of NH readmission. RESULTS Thirty-seven percent of residents had no secondary prevention medications initiated after AMI, 41% had 1 initiated, and 22% had 2 initiated. After covariate adjustment, fewer secondary prevention medications were used in older residents (proportional odds ratio (POR) = 0.48, 95% confidence interval (CI) = 0.40-0.57 for ≥95 vs 65-74); women (POR = 0.88, 95% CI = 0.80-0.96);and those with a do-not-resuscitate (DNR) order (POR = 0.90, 95% CI = 0.83-0.98), functional impairment (dependent or totally dependent vs independent to limited assistance, POR = 0.77, 95% CI = 0.69-0.86), and cognitive impairment (moderate to severe vs no impairment, POR = 0.79, 95% CI = 0.70-0.89). CONCLUSION More than one-third of older NH residents in the United States do not have any secondary prevention medications initiated after AMI, with fewer medications initiated in older residents; women; and those with, DNR orders, poor physical function, and cognitive impairment. A lack of evidence about the safety and effectiveness of secondary preventions medications in the NH population and unmeasured person-centered goals of care are plausible explanations for these findings.
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Affiliation(s)
- Andrew R Zullo
- Department of Health Services, Policy, and Practice, School of Public Health, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Sadia Sharmin
- Department of Health Services, Policy, and Practice, School of Public Health, Warren Alpert Medical School, Brown University, Providence, Rhode Island.,Department of Epidemiology, School of Public Health, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Yoojin Lee
- Department of Health Services, Policy, and Practice, School of Public Health, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Lori A Daiello
- Department of Health Services, Policy, and Practice, School of Public Health, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Nishant R Shah
- Department of Health Services, Policy, and Practice, School of Public Health, Warren Alpert Medical School, Brown University, Providence, Rhode Island.,Division of Cardiology, Department of Medicine, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - W John Boscardin
- Division of Geriatrics, University of California, San Francisco and San Francisco Veterans Affairs Medical Center, San Francisco, California.,Division of Biostatistics, University of California, San Francisco, San Francisco, California
| | - David D Dore
- Department of Health Services, Policy, and Practice, School of Public Health, Warren Alpert Medical School, Brown University, Providence, Rhode Island.,Optum Epidemiology, Boston, Massachusetts
| | - Sei J Lee
- Division of Geriatrics, University of California, San Francisco and San Francisco Veterans Affairs Medical Center, San Francisco, California
| | - Michael A Steinman
- Division of Geriatrics, University of California, San Francisco and San Francisco Veterans Affairs Medical Center, San Francisco, California
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Glasziou P, Straus S, Brownlee S, Trevena L, Dans L, Guyatt G, Elshaug AG, Janett R, Saini V. Evidence for underuse of effective medical services around the world. Lancet 2017; 390:169-177. [PMID: 28077232 DOI: 10.1016/s0140-6736(16)30946-1] [Citation(s) in RCA: 104] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Underuse-the failure to use effective and affordable medical interventions-is common and responsible for substantial suffering, disability, and loss of life worldwide. Underuse occurs at every point along the treatment continuum, from populations lacking access to health care to inadequate supply of medical resources and labour, slow or partial uptake of innovations, and patients not accessing or declining them. The extent of underuse for different interventions varies by country, and is documented in countries of high, middle, and low-income, and across different types of health-care systems, payment models, and health services. Most research into underuse has focused on measuring solutions to the problem, with considerably less attention paid to its global prevalence or its consequences for patients and populations. Although focused effort and resources can overcome specific underuse problems, comparatively little is spent on work to better understand and overcome the barriers to improved uptake of effective interventions, and methods to make them affordable.
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Affiliation(s)
- Paul Glasziou
- Centre for Research in Evidence-Based Practice, Bond University, Robina, QLD, Australia.
| | - Sharon Straus
- Li Ka Shing Knowledge Institute of St. Michael's Hospital, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | | | - Lyndal Trevena
- Discipline of General Practice, School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - Leonila Dans
- University of the Philippines Manila, Manila, Philippines
| | - Gordon Guyatt
- Department of Clinical Epidemiology & Biostatistics, McMaster University, Ontario, ON, Canada
| | - Adam G Elshaug
- Menzies Centre for Health Policy, School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - Robert Janett
- Harvard Clinical and Translational Science Center, Boston, MA, USA
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8
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El-Saifi N, Moyle W, Jones C, Tuffaha H. Medication Adherence in Older Patients With Dementia: A Systematic Literature Review. J Pharm Pract 2017; 31:322-334. [DOI: 10.1177/0897190017710524] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Background: Older patients with dementia are often unable to take their medications as prescribed due to cognitive and physical impairment. Objectives: To review the evidence on medication adherence in older patients with dementia in terms of the level of adherence, outcomes, contributing factors, and available interventions. Methods: A systematic literature review was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Searched databases included CINAHL, Cochrane Library, DARE, MEDLINE, and PubMed. Results: Eighteen studies reported levels of medication adherence or discontinuation and related factors. Medication adherence ranged from 17% to 42%, and medication discontinuation before the end of treatment ranged from 37% to 80%. Nonadherence was associated with an increased risk of hospitalization or death, while increasing age, choice of medication, use of concomitant medications, and medicines’ costs were reported to decrease medication adherence. Telehealth home monitoring and treatment modification were the only interventions reported in the literature to improve medication adherence in this population. Conclusion: Older patients with dementia have a low level of medication adherence. Future research should focus on the development and implementation of interventions to help older patients with dementia and their caregivers make better use of medications.
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Affiliation(s)
- Najwan El-Saifi
- School of Nursing and Midwifery, Menzies Health Institute Queensland, Griffith University, Nathan Campus, Brisbane, Queensland, Australia
| | - Wendy Moyle
- School of Nursing and Midwifery, Menzies Health Institute Queensland, Griffith University, Nathan Campus, Brisbane, Queensland, Australia
| | - Cindy Jones
- School of Nursing and Midwifery, Menzies Health Institute Queensland, Griffith University, Nathan Campus, Brisbane, Queensland, Australia
| | - Haitham Tuffaha
- School of Medicine, Menzies Health Institute Queensland, Griffith University, Nathan Campus, Brisbane, Queensland, Australia
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9
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Rapsomaniki E, Thuresson M, Yang E, Blin P, Hunt P, Chung SC, Stogiannis D, Pujades-Rodriguez M, Timmis A, Denaxas SC, Danchin N, Stokes M, Thomas-Delecourt F, Emmas C, Hasvold P, Jennings E, Johansson S, Cohen DJ, Jernberg T, Moore N, Janzon M, Hemingway H. Using big data from health records from four countries to evaluate chronic disease outcomes: a study in 114 364 survivors of myocardial infarction. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2016; 2:172-183. [PMID: 29474617 PMCID: PMC5815620 DOI: 10.1093/ehjqcco/qcw004] [Citation(s) in RCA: 79] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2015] [Revised: 01/18/2016] [Indexed: 01/16/2023]
Abstract
AIMS To assess the international validity of using hospital record data to compare long-term outcomes in heart attack survivors. METHODS AND RESULTS We used samples of national, ongoing, unselected record sources to assess three outcomes: cause death; a composite of myocardial infarction (MI), stroke, and all-cause death; and hospitalized bleeding. Patients aged 65 years and older entered the study 1 year following the most recent discharge for acute MI in 2002-11 [n = 54 841 (Sweden), 53 909 (USA), 4653 (England), and 961 (France)]. Across each of the four countries, we found consistent associations with 12 baseline prognostic factors and each of the three outcomes. In each country, we observed high 3-year crude cumulative risks of all-cause death (from 19.6% [England] to 30.2% [USA]); the composite of MI, stroke, or death [from 26.0% (France) to 36.2% (USA)]; and hospitalized bleeding [from 3.1% (France) to 5.3% (USA)]. After adjustments for baseline risk factors, risks were similar across all countries [relative risks (RRs) compared with Sweden not statistically significant], but higher in the USA for all-cause death [RR USA vs. Sweden, 1.14 (95% confidence interval 1.04-1.26)] and hospitalized bleeding [RR USA vs. Sweden, 1.54 (1.21-1.96)]. CONCLUSION The validity of using hospital record data is supported by the consistency of estimates across four countries of a high adjusted risk of death, further MI, and stroke in the chronic phase after MI. The possibility that adjusted risks of mortality and bleeding are higher in the USA warrants further study.
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Affiliation(s)
- Eleni Rapsomaniki
- Farr Institute of Health Informatics Research, University College London, London, UK
| | | | - Erru Yang
- Retrospective Observational Studies, Evidera, Lexington, MA, USA
| | - Patrick Blin
- Department of Pharmacology, CIC Bordeaux CIC1401 INSERM, University of Bordeaux, Bordeaux, France
| | - Phillip Hunt
- Retrospective Observational Studies, Evidera, Lexington, MA, USA
| | - Sheng-Chia Chung
- Farr Institute of Health Informatics Research, University College London, London, UK
| | - Dimitris Stogiannis
- Department of Mathematics, National and Kapodistrian University of Athens, Athens, Greece
| | - Mar Pujades-Rodriguez
- Farr Institute of Health Informatics Research, University College London, London, UK
| | - Adam Timmis
- Farr Institute of Health Informatics Research, University College London, London, UK
| | - Spiros C. Denaxas
- Farr Institute of Health Informatics Research, University College London, London, UK
| | | | - Michael Stokes
- Retrospective Observational Studies, Evidera, Lexington, MA, USA
| | | | - Cathy Emmas
- Real World Evidence, AstraZeneca Luton, Luton, UK
| | - Pål Hasvold
- Medical Department, AstraZeneca Nordic-Baltic, Oslo, Norway
| | - Em Jennings
- Global Payer Evidence and Pricing, AstraZeneca R&D, Cambridge, UK
| | - Saga Johansson
- Global Medicines Development, AstraZeneca Gothenburg, Mölndal, Sweden
| | - David J. Cohen
- Saint Luke's Mid America Heart Institute, Kansas City, MO, USA
| | - Tomas Jernberg
- Department of Medicine, Karolinska Institutet, Huddinge, Sweden
- Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden
| | - Nicholas Moore
- Department of Pharmacology, CIC Bordeaux CIC1401 INSERM, University of Bordeaux, Bordeaux, France
| | - Magnus Janzon
- Department of Cardiology and Department of Medical and Health Sciences, Linköping University, Linköping, Sweden
| | - Harry Hemingway
- Farr Institute of Health Informatics Research, University College London, London, UK
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10
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Kronish IM, Ross JS, Zhao H, Muntner P. Impact of Hospitalization for Acute Myocardial Infarction on Adherence to Statins Among Older Adults. Circ Cardiovasc Qual Outcomes 2016; 9:364-71. [PMID: 27220368 DOI: 10.1161/circoutcomes.115.002418] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2015] [Accepted: 04/12/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND Little is known about the impact of hospitalization for an acute myocardial infarction (AMI) on subsequent adherence to statins. METHODS AND RESULTS Using administrative claims from a 5% random sample of Medicare beneficiaries, we identified a cohort of Medicare patients aged ≥65 years, hospitalized from 2007 to 2011, taking statins in the year before AMI hospitalization (n=6618). We then determined the proportion of patients nonadherent to statins (proportion of days covered <80%) in the year before AMI hospitalization who became statin adherent (proportion of days covered ≥80%) in the year after AMI hospitalization. The proportion of statin-adherent patients who became nonadherent was also studied. These proportions were compared with patients hospitalized for pneumonia (n=11 471) and patients not hospitalized (n=158 099) in 2010 and 2011. Among patients nonadherent to statins before AMI hospitalization, 37.7% became adherent after discharge. Patients hospitalized for AMI were more likely to become adherent than patients hospitalized for pneumonia (adjusted relative risk: 1.70; 95% confidence interval, 1.57-1.84) or patients not hospitalized (adjusted relative risk: 1.79; 95% confidence interval, 1.68-1.90). Among patients adherent to statins before AMI hospitalization, 32.6% became nonadherent after discharge. Those hospitalized for AMI were less likely to become nonadherent than those hospitalized for pneumonia (adjusted relative risk: 0.93; 95% confidence interval 0.88-0.98) but more likely to become nonadherent than patients without hospitalizations (adjusted relative risk: 1.41; 95% confidence interval, 1.35-1.48). CONCLUSIONS Among nonadherent patients, hospitalization for AMI was associated with increased likelihood of becoming adherent to statins compared with hospitalization for pneumonia or no hospitalizations. Among adherent patients, hospitalization for AMI was associated with increased likelihood of becoming nonadherent to statins compared with no hospitalizations.
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Affiliation(s)
- Ian M Kronish
- From the Center for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, NY (I.M.K.); Section of General Internal Medicine, Department of Medicine, Yale University School of Medicine, New Haven, CT (J.S.R.); Department of Health Policy and Management, Yale University School of Public Health, New Haven, CT (J.S.R.); Center for Outcomes Research and Evaluation, Yale-New Haven Hospital (J.S.R.); and Department of Epidemiology, University of Alabama at Birmingham (H.Z., P.M.).
| | - Joseph S Ross
- From the Center for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, NY (I.M.K.); Section of General Internal Medicine, Department of Medicine, Yale University School of Medicine, New Haven, CT (J.S.R.); Department of Health Policy and Management, Yale University School of Public Health, New Haven, CT (J.S.R.); Center for Outcomes Research and Evaluation, Yale-New Haven Hospital (J.S.R.); and Department of Epidemiology, University of Alabama at Birmingham (H.Z., P.M.)
| | - Hong Zhao
- From the Center for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, NY (I.M.K.); Section of General Internal Medicine, Department of Medicine, Yale University School of Medicine, New Haven, CT (J.S.R.); Department of Health Policy and Management, Yale University School of Public Health, New Haven, CT (J.S.R.); Center for Outcomes Research and Evaluation, Yale-New Haven Hospital (J.S.R.); and Department of Epidemiology, University of Alabama at Birmingham (H.Z., P.M.)
| | - Paul Muntner
- From the Center for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, NY (I.M.K.); Section of General Internal Medicine, Department of Medicine, Yale University School of Medicine, New Haven, CT (J.S.R.); Department of Health Policy and Management, Yale University School of Public Health, New Haven, CT (J.S.R.); Center for Outcomes Research and Evaluation, Yale-New Haven Hospital (J.S.R.); and Department of Epidemiology, University of Alabama at Birmingham (H.Z., P.M.)
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11
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Egan BM, Sutherland SE, Childers WF, Dahlheimer RM, Helmrich GA, Lapeyrolerie DA, Markle N, Murphy DW, Simmons L, Davis RA, Tilkemeier P, Sinopoli A. Comparative impact of implementing the 2013 or 2014 cholesterol guideline on vascular events in a quality improvement network. Ther Adv Cardiovasc Dis 2016; 10:56-66. [PMID: 26733598 PMCID: PMC5933629 DOI: 10.1177/1753944715624854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVES The Quality and Care Model Committee for a clinically integrated network requested a comparative analysis on the projected cardiovascular benefits of implementing either the 2013 and 2014 cholesterol guideline in a South Carolina patient population. A secondary request was to assess the relative risk of the two guidelines based on the literature. METHODS Electronic health data were obtained on 1,580,860 adults aged 21-80 years who had had one or more visits from January 2013 to June 2015; 566,688 had data to calculate 10-year atherosclerotic cardiovascular disease (ASCVD10) risk. Adults with end-stage renal disease (n = 7852), congestive heart failure (n = 19,818), alcohol or drug abuse (n = 68,547), or currently on statins (n = 154,964) were excluded leaving 315,508 for analysis. Estimated reduction in ASCVD10 assumed that: (a) moderate-intensity statins lowered low-density lipoprotein cholesterol (LDL-C) by 35% and high-intensity statins by 50%; (b) ASCVD events declined 22% for each 1 mmol/l fall in LDL-C. RESULTS Among the 315,508 adults in the analysis, 131,289 (41.6%) were eligible for statins according to the 2013 guideline and 137,375 (43.5%) to the 2014 guideline. The 2013 and 2014 guidelines were estimated to prevent 6780 and 5915 ASCVD events over 10 years with: (a) relative risk reductions of 29.0% and 21.8%; (b) absolute risk reductions of 5.2% and 4.3%; (c) number needed-to-treat (NNT) of 19 and 23, respectively. The greater projected cardiovascular protection with the 2013 guideline was largely related to greater use of high-dose statins, which carry a greater risk for adverse events. The literature indicates that the NNT for benefit with high-intensity versus moderate-intensity statins is 31 in high-risk patients with a number needed-to-harm of 47. CONCLUSIONS The 2013 guideline is projected to prevent more clinical ASCVD events and with lower NNTs than the 2014 guideline, yet both have substantial benefit. The 2013 guideline is also expected to generate more adverse events, but the risk-benefit profile appears favor .
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Affiliation(s)
- Brent M Egan
- Care Coordination Institute, Greenville Health System, University of South Carolina School of Medicine-Greenville, 300 East McBee Avenue, Greenville, SC 29601, USA
| | - Susan E Sutherland
- Care Coordination Institute, Greenville Health System, Greenville, SC, USA
| | - William F Childers
- Greenville Health System, Department of Medicine, University of South Carolina School of Medicine-Greenville, Greenville, SC, Laurens Memorial Hospital, Laurens, SC, USA
| | | | - George A Helmrich
- Greenville Health System, Department of Obstetrics & Gynecology, University of South CarolinaSchool of Medicine-Greenville, Greenville, SC, USA
| | - Daryl A Lapeyrolerie
- Greenville Health System, Department of Medicine, University of South Carolina School of Medicine-Greenville, Greenville, SC, USA
| | - Nancy Markle
- Care Coordination Institute, Greenville Health System, Greenville, SC, USA
| | - Dennis W Murphy
- Self Regional Healthcare, Piedmont Health Group, Greenwood, SC, USA
| | | | - Robert A Davis
- Care Coordination Institute, Greenville Health System, Greenville, SC, USA
| | - Peter Tilkemeier
- Greenville Health System, Department of Medicine, University of South School of Medicine-Greenville, Greenville, SC, USA
| | - Angelo Sinopoli
- Care Coordination Institute, Department of Medicine, University of South Carolina School of Medicine-Greenville, Greenville Health System, Greenville, SC, USA
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12
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Chrischilles EA, Schneider KM, Schroeder MC, Letuchy E, Wallace RB, Robinson JG, Brooks JM. Association Between Preadmission Functional Status and Use and Effectiveness of Secondary Prevention Medications in Elderly Survivors of Acute Myocardial Infarction. J Am Geriatr Soc 2016; 64:526-35. [PMID: 26928940 DOI: 10.1111/jgs.13953] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
OBJECTIVES To determine whether function-related indicators (FRIs), derived from preadmission claims data, help explain the frequent practice of forgoing secondary prevention medications observed in Medicare. DESIGN Retrospective cohort. SETTING National Medicare data. PARTICIPANTS Elderly Medicare beneficiaries discharged alive from an acute myocardial infarction (AMI) hospitalization in 2007-2008 (N = 184,156). MEASUREMENTS Study outcomes were number of guideline-recommended secondary prevention medications (statins, beta-blockers, and angiotensin-converting enzyme inhibitors or angiotensin receptor blockers) used after discharge and 12-month survival. Preadmission data (FRIs, cardiovascular conditions, comorbid conditions), type of AMI (non-ST-elevation myocardial infarction, anterior, other), and procedures and complications during the hospitalization were from claims data. RESULTS Function-related indicators (FRIs) were common before admission; 50% of individuals had at least one (range 0-11). After discharge, 85.8% used at least one class of guideline medication, and 30.2% used all three; 19.6% died within 12 months. Each additional FRI reduced the likelihood of receiving all three medication classes by 5% (adjusted odds ratio = 0.95, 95% confidence interval (CI) = 0.94-0.96) and increased 12-month mortality by 20% (adjusted hazard ratio (aHR) = 1.20, 95% CI = 1.19-1.21). Individuals taking all three classes of medication were 30% less likely to die within 12 months than those not taking guideline medications (aHR = 0.70, 95% CI = 0.67-0.73). Similar survival benefit was observed in individuals with and without functional impairments. CONCLUSION Greater impairment in preadmission functional status, using a measure derived from claims data, was associated with less use of secondary prevention medications after AMI. Survival benefits of taking these medications were consistent across functional impairment levels.
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Affiliation(s)
| | - Kathleen M Schneider
- Schneider Research Associates, LLC, Des Moines, Iowa.,Buccaneer, A General Dynamics Company, West Des Moines, Iowa
| | - Mary C Schroeder
- Department of Pharmacy Practice and Science, College of Pharmacy, University of Iowa, Iowa City, Iowa
| | - Elena Letuchy
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa
| | - Robert B Wallace
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa
| | - Jennifer G Robinson
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa
| | - John M Brooks
- Department of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina
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13
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Egan BM, Li J, Fleming DO, White K, Connell K, Davis RA, Sinopoli A. Impact of Implementing the 2013 ACC/AHA Cholesterol Guidelines on Vascular Events in a Statewide Community-Based Practice Registry. J Clin Hypertens (Greenwich) 2015; 18:663-71. [PMID: 26606899 DOI: 10.1111/jch.12727] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Revised: 07/24/2015] [Accepted: 07/26/2015] [Indexed: 11/28/2022]
Abstract
Electronic health record data were analyzed to estimate the number of statin-eligible adults with the 2013 American College of Cardiology/American Heart Association cholesterol guidelines not taking statin therapy and the impact of recommended statin therapy on 10-year atherosclerotic cardiovascular disease (ASCVD10 ) events. Adults aged 21 to 80 years in an outpatient network with ≥1 clinic visit(s) from January 2011 to June 2014 with data to calculate ASCVD10 were eligible. Moderate-intensity statin therapy was assumed to lower low-density lipoprotein cholesterol by 30% and high-intensity therapy was assumed to reduce low-density lipoprotein cholesterol by 50%. ASCVD events were assumed to decline 22% for each 39 mg/dL decline in low-density lipoprotein cholesterol. Among 411,768 adults, 260,434 (63.2%) were not taking statins and 103,478 (39.7%) were eligible for a statin, including 79,069 (76.4%) patients with hypertension. Estimated ASCVD10 events were 18,781 without and 13,328 with statin therapy, a 29.0% relative and 5.3% absolute risk reduction with a number needed to treat of 19. The 2013 cholesterol guidelines are a relatively efficient approach to reducing ASCVD in untreated, statin-eligible adults who often have concomitant hypertension.
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Affiliation(s)
- Brent M Egan
- Greenville Health System, Care Coordination Institute, University of South Carolina School of Medicine-Greenville, Greenville, SC.,Department of Medicine, University of South Carolina School of Medicine-Greenville, Greenville, SC
| | - Jiexiang Li
- Department of Mathematics, College of Charleston, Charleston, SC
| | - Douglas O Fleming
- Greenville Health System, Care Coordination Institute, University of South Carolina School of Medicine-Greenville, Greenville, SC
| | - Kellee White
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | - Kenneth Connell
- Faculty of Medical Sciences, The University of the West Indies Cave Hill Campus, St. Michael, Barbados
| | - Robert A Davis
- Greenville Health System, Care Coordination Institute, University of South Carolina School of Medicine-Greenville, Greenville, SC
| | - Angelo Sinopoli
- Greenville Health System, Care Coordination Institute, University of South Carolina School of Medicine-Greenville, Greenville, SC.,Department of Medicine, University of South Carolina School of Medicine-Greenville, Greenville, SC
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14
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McGinty EE, Baller J, Azrin ST, Juliano-Bult D, Daumit GL. Quality of medical care for persons with serious mental illness: A comprehensive review. Schizophr Res 2015; 165:227-35. [PMID: 25936686 PMCID: PMC4670551 DOI: 10.1016/j.schres.2015.04.010] [Citation(s) in RCA: 119] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2015] [Revised: 04/02/2015] [Accepted: 04/09/2015] [Indexed: 11/18/2022]
Abstract
OBJECTIVES Prior studies suggest variation in the quality of medical care for somatic conditions such as cardiovascular disease and diabetes provided to persons with SMI, but to date no comprehensive review of the literature has been conducted. The goals of this review were to summarize the prior research on quality of medical care for the United States population with SMI; identify potential sources of variation in quality of care; and identify priorities for future research. METHODS Peer-reviewed studies were identified by searching four major research databases and subsequent reference searches of retrieved articles. All studies assessing quality of care for cardiovascular disease, diabetes, dyslipidemia, and HIV/AIDs among persons with schizophrenia and bipolar disorder published between January 2000 and December 2013 were included. Quality indicators and information about the study population and setting were abstracted by two trained reviewers. RESULTS Quality of medical care in the population with SMI varied by study population, time period, and setting. Rates of guideline-concordant care tended to be higher among veterans and lower among Medicaid beneficiaries. In many study samples with SMI, rates of guideline adherence were considerably lower than estimated rates for the overall US population. CONCLUSIONS Future research should identify and address modifiable provider, insurer, and delivery system factors that contribute to poor quality of medical care among persons with SMI and examine whether adherence to clinical guidelines leads to improved health and disability outcomes in this vulnerable group.
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Affiliation(s)
- Emma E McGinty
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Room 359, Baltimore, MD 21205, United States.
| | - Julia Baller
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Room 359, Baltimore, MD 21205, United States.
| | | | - Denise Juliano-Bult
- Johns Hopkins Medical Institutions, Division of General Internal Medicine, Welch Center for Prevention, Epidemiology and Clinical Research, United States.
| | - Gail L Daumit
- Johns Hopkins Medical Institutions, Division of General Internal Medicine, Welch Center for Prevention, Epidemiology and Clinical Research, United States.
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