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Gregg EW, Patorno E, Karter AJ, Mehta R, Huang ES, White M, Patel CJ, McElvaine AT, Cefalu WT, Selby J, Riddle MC, Khunti K. Use of Real-World Data in Population Science to Improve the Prevention and Care of Diabetes-Related Outcomes. Diabetes Care 2023; 46:1316-1326. [PMID: 37339346 PMCID: PMC10300521 DOI: 10.2337/dc22-1438] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 04/11/2023] [Indexed: 06/22/2023]
Abstract
The past decade of population research for diabetes has seen a dramatic proliferation of the use of real-world data (RWD) and real-world evidence (RWE) generation from non-research settings, including both health and non-health sources, to influence decisions related to optimal diabetes care. A common attribute of these new data is that they were not collected for research purposes yet have the potential to enrich the information around the characteristics of individuals, risk factors, interventions, and health effects. This has expanded the role of subdisciplines like comparative effectiveness research and precision medicine, new quasi-experimental study designs, new research platforms like distributed data networks, and new analytic approaches for clinical prediction of prognosis or treatment response. The result of these developments is a greater potential to progress diabetes treatment and prevention through the increasing range of populations, interventions, outcomes, and settings that can be efficiently examined. However, this proliferation also carries an increased threat of bias and misleading findings. The level of evidence that may be derived from RWD is ultimately a function of the data quality and the rigorous application of study design and analysis. This report reviews the current landscape and applications of RWD in clinical effectiveness and population health research for diabetes and summarizes opportunities and best practices in the conduct, reporting, and dissemination of RWD to optimize its value and limit its drawbacks.
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Affiliation(s)
- Edward W. Gregg
- School of Population Health, RRCSI University of Medicine and Health Sciences, Dublin, Ireland
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
| | - Elisabetta Patorno
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Andrew J. Karter
- Division of Research, Kaiser Permanente, Oakland, CA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA
| | - Roopa Mehta
- Metabolic Research Unit (UIEM), Department of Endocrinology and Metabolism, Instituto Nacional de Ciencias Medicas y Nutricion, Salvador Zubiran (INCMNSZ), Mexico City, Mexico
| | - Elbert S. Huang
- Section of General Internal Medicine, Center for Chronic Disease Research and Policy (CDRP), The University of Chicago, Chicago, IL
| | - Martin White
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Chirag J. Patel
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA
| | | | - William T. Cefalu
- Division of Diabetes, Endocrinology, and Metabolic Diseases, National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Joseph Selby
- Patient-Centered Outcomes Institute, Washington, DC
| | - Matthew C. Riddle
- Division of Endocrinology, Diabetes, and Clinical Nutrition, Oregon Health & Science University, Portland, OR
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, U.K
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Zhou Q, Yu M, Jin M, Zhang P, Qin G, Yao Y. Impact of free hypertension pharmacy program and social distancing policy on stroke: A longitudinal study. Front Public Health 2023; 11:1142299. [PMID: 37143973 PMCID: PMC10151749 DOI: 10.3389/fpubh.2023.1142299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 03/28/2023] [Indexed: 05/06/2023] Open
Abstract
Background The estimated lifetime risk of stroke was the highest in East Asia worldwide, especially in China. Antihypertensive therapy can significantly reduce stroke mortality. However, blood pressure control is poor. Medication adherence is a barrier as patients' out-of-pocket costs have risen. We aimed to take advantage of a free hypertension pharmacy intervention and quantified the impact on stroke mortality. Methods A free pharmaceutical intervention program was implemented in Deqing, Zhejiang province in April 2018. Another non-pharmaceutical intervention, social distancing due to the pandemic of Coronavirus disease 2019 (COVID-19), was also key to affecting stroke mortality. We retrospectively collected the routine surveillance data of stroke deaths from Huzhou Municipal Center for Disease Prevention and Control in 2013-2020 and obtained within-city mobility data from Baidu Migration in 2019-2020, then we quantified the effects of both pharmaceutical intervention and social distancing using Serfling regression model. Results Compared to the predicted number, the actual number of stroke deaths was significantly lower by 10% (95% CI, 6-15%; p < 0.001) from April 2018 to December 2020 in Deqing. Specifically, there was a reduction of 19% (95% CI, 10-28%; p < 0.001) in 2018. Moreover, we observed a 5% (95% CI, -4 - 14%; p = 0.28) increase in stroke mortality due to the adverse effect of COVID-19 but it wasn't statistically significant. Conclusion Free hypertension pharmacy program has great potential to prevent considerable stroke deaths. In the future, the free supply of low-cost, essential medications that target patients with hypertension at increased risk of stroke could be taken into account in formulating public health policies and guiding allocations of health care resources.
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Affiliation(s)
- Qi Zhou
- Department of Biostatistics, School of Public Health and The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Meihua Yu
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
| | - Meihua Jin
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
- *Correspondence: Meihua Jin,
| | - Peng Zhang
- Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang, China
| | - Guoyou Qin
- Department of Biostatistics, School of Public Health and The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Ye Yao
- Department of Biostatistics, School of Public Health and The Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Ye Yao,
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Wu YM, Huang J, Reed ME. Association Between High-Deductible Health Plans and Engagement in Routine Medical Care for Type 2 Diabetes in a Privately Insured Population: A Propensity Score-Matched Study. Diabetes Care 2022; 45:1193-1200. [PMID: 35290445 PMCID: PMC9375446 DOI: 10.2337/dc21-1885] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 02/14/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE High-deductible health plans (HDHPs) are increasingly more common but can be challenging for patients to navigate and may negatively affect care engagement for chronic conditions such as type 2 diabetes. We sought to understand how higher out-of-pocket costs affect participation in provider visits, medication adherence, and routine monitoring by patients with type 2 diabetes with an HDHP. RESEARCH DESIGN AND METHODS In a retrospective cohort of 19,379 Kaiser Permanente Northern California patients with type 2 diabetes (age 18-64 years), 6,801 patients with an HDHP were compared with those with a no-deductible plan using propensity score matching. We evaluated the number of telephone and office visits with primary care, oral diabetic medication adherence, and rates of HbA1c testing, blood pressure monitoring, and retinopathy screening. RESULTS Patients with an HDHP had fewer primary care office visits compared with patients with no deductible (4.25 vs. 4.85 visits per person; P < 0.001), less retinopathy screening (49.9% vs. 53.3%; P < 0.001), and fewer A1c and blood pressure measurements (46.7% vs. 51.4%; P < 0.001 and 93.2% vs. 94.4%; P = 0.004, respectively) compared with the control group. Medication adherence was not significantly different between patients with an HDHP and those with no deductible (57.4% vs. 58.6%; P = 0.234). CONCLUSIONS HDHPs seem to be a barrier for patients with type 2 diabetes and reduce care participation in both visits with out-of-pocket costs and preventive care without out-of-pocket costs, possibly because of the increased complexity of cost sharing under an HDHP, potentially leading to decreased monitoring of important clinical measurements.
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Affiliation(s)
- You M Wu
- Department of Adult and Family Medicine, Kaiser Permanente, Santa Clara, CA
| | - Jie Huang
- Kaiser Permanente Division of Research, Oakland, CA
| | - Mary E Reed
- Kaiser Permanente Division of Research, Oakland, CA
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Buttorff C, Girosi F, Lai J, Taylor EA, Lewis SE, Ma S, Eibner C. Do Financial Incentives Affect Utilization for Chronically Ill Medicare Beneficiaries? Med Care 2022; 60:302-310. [PMID: 35213426 DOI: 10.1097/mlr.0000000000001695] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The objective of this study was to examine the price sensitivity for provider visits among Medicare Advantage beneficiaries. DATA SOURCES We used Medicare Advantage encounter data from 2014 to 2017 accessed as part of an evaluation for the Center for Medicare & Medicaid Innovation. STUDY DESIGN We analyzed the effect of cost-sharing on the utilization of 2 outcome categories: number of visits (specialist and primary care) and the probability of any visit (specialist and primary care). Our main independent variable was the size of the copayment for the visit, which we regressed on the outcomes with several beneficiary-level and plan-level control variables. DATA COLLECTION/EXTRACTION METHODS We included beneficiaries with at least 1 of 4 specific chronic conditions and matched comparison beneficiaries. We did not require beneficiaries to be continuously enrolled from 2014 to 2017, but we required a full year of data for each year they were observed. This resulted in 371,140 beneficiary-year observations. PRINCIPAL FINDINGS Copay reductions were associated with increases in utilization, although the changes were small, with elasticities <-0.2. We also found evidence of substitution effects between primary care provider (PCP) and specialist visits, particularly cardiology and endocrinology. When PCP copays declined, visits to these specialists also declined. CONCLUSIONS We find that individuals with chronic conditions respond to changes in copays, although these responses are small. Reductions in PCP copays lead to reduced use of some specialists, suggesting that lowering PCP copays could be an effective way to reduce the use of specialist care, a desirable outcome if specialists are overused.
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Affiliation(s)
| | | | | | | | - Sarah E Lewis
- Center for Medicare & Medicaid Innovation, Baltimore, MD
| | - Sai Ma
- Clinical Transformation, Humana, Washington, DC
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Kyle MA, Frakt AB. Patient administrative burden in the US health care system. Health Serv Res 2021; 56:755-765. [PMID: 34498259 DOI: 10.1111/1475-6773.13861] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 05/03/2021] [Accepted: 05/14/2021] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE To assess the prevalence of patient administrative tasks and whether they are associated with delayed and/or foregone care. DATA SOURCE March 2019 Health Reform Monitoring Survey. STUDY DESIGN We assess the prevalence of five common patient administrative tasks-scheduling, obtaining information, prior authorizations, resolving billing issues, and resolving premium problems-and associated administrative burden, defined as delayed and/or foregone care. Using multivariate logistic models, we examined the association of demographic characteristics with odds of doing tasks and experiencing burdens. Our outcome variables were five common types of administrative tasks as well as composite measures of any task, any delayed care, any foregone care, and any burden (combined delayed/foregone), respectively. DATA COLLECTION We developed and administered survey questions to a nationally representative sample of insured, nonelderly adults (n = 4155). PRINCIPAL FINDINGS The survey completion rate was 62%. Seventy-three percent of respondents reported performing at least one administrative task in the past year. About one in three task-doers, or 24.4% of respondents overall, reported delayed or foregone care due to an administrative task: Adjusted for demographics, disability status had the strongest association with administrative tasks (adjusted odds ratio [OR] 2.91, p < 0.001) and burden (adjusted OR 1.66, p < 0.001). Being a woman was associated with doing administrative tasks (adjusted OR 2.19, p < 0.001). Being a college graduate was associated with performing an administrative task (adjusted OR 2.79, p < 0.001), while higher income was associated with fewer subsequent burdens (adjusted OR 0.55, p < 0.01). CONCLUSIONS Patients frequently do administrative tasks that can create burdens resulting in delayed/foregone care. The prevalence of delayed/foregone care due to administrative tasks is comparable to similar estimates of cost-related barriers to care. Demographic disparities in burden warrant further attention. Enhancing measurement of patient administrative work and associated burdens may identify opportunities for assessing quality, value, and patient experience.
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Affiliation(s)
- Michael Anne Kyle
- Harvard Medical School, Boston, Massachusetts, USA.,Harvard Business School, Boston, Massachusetts, USA.,Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Austin B Frakt
- Boston VA Healthcare System, Boston, Massachusetts, USA.,Boston University School of Public Health, Boston, Massachusetts, USA.,Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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Galbraith AA, Ross-Degnan D, Zhang F, Wu AC, Sinaiko A, Peltz A, Xu X, Wallace J, Wharam JF. Controller Medication Use and Exacerbations for Children and Adults With Asthma in High-Deductible Health Plans. JAMA Pediatr 2021; 175:807-816. [PMID: 33970186 PMCID: PMC8111559 DOI: 10.1001/jamapediatrics.2021.0747] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE High-deductible health plans (HDHPs) are increasingly common and associated with decreased medication use in some adult populations. How children are affected is less certain. OBJECTIVE To examine the association between HDHP enrollment and asthma controller medication use and exacerbations. DESIGN, SETTING, AND PARTICIPANTS For this longitudinal cohort study with a difference-in-differences design, data were obtained from a large, national, commercial (and Medicare Advantage) administrative claims database between January 1, 2002, and December 31, 2014. Children aged 4 to 17 years and adults aged 18 to 64 years with persistent asthma who switched from traditional plans to HDHPs or remained in traditional plans (control group) by employer choice during a 24-month period were identified. A coarsened exact matching technique was used to balance the groups on characteristics including employer and enrollee propensity to have HDHPs. In most HDHPs, asthma medications were exempt from the deductible and subject to copayments. Statistical analyses were conducted from August 13, 2019, to January 19, 2021. EXPOSURE Employer-mandated HDHP transition. MAIN OUTCOMES AND MEASURES Thirty-day fill rates and adherence (based on proportion of days covered [PDC]) were measured for asthma controller medications (inhaled corticosteroid [ICS], leukotriene inhibitors, and ICS long-acting β-agonists [ICS-LABAs]). Asthma exacerbations were measured by rates of oral corticosteroid bursts and asthma-related emergency department visits among controller medication users. RESULTS The HDHP group included 7275 children (mean [SD] age, 10.8 [3.3] years; 4402 boys [60.5%]; and 5172 non-Hispanic White children [71.1%]) and 17 614 adults (mean [SD] age, 41.1 [13.4] years; 10 464 women [59.4%]; and 12 548 non-Hispanic White adults [71.2%]). The matched control group included 45 549 children and 114 141 adults. Compared with controls, children switching to HDHPs experienced significant absolute decreases in annual 30-day fills only for ICS-LABA medications (absolute change, -0.04; 95% CI, -0.07 to -0.01). Adults switching to HDHPs did not have significant reductions in 30-day fills for any controllers. There were no statistically significant differences in PDC, oral steroid bursts, or asthma-related emergency department visits for children or adults. For the 9.9% of HDHP enrollees with health savings account-eligible HDHPs that subjected medications to the deductible, there was a significant absolute decrease in PDC for ICS-LABA compared with controls (-4.8%; 95% CI, -7.7% to -1.9%). CONCLUSIONS AND RELEVANCE This cohort study found that in a population where medications were exempt from the deductible for most enrollees, HDHP enrollment was associated with minimal or no reductions in controller medication use for children and adults and no change in asthma exacerbations. These findings suggest a potential benefit from exempting asthma medications from the deductible in HDHPs.
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Affiliation(s)
- Alison A. Galbraith
- Harvard Pilgrim Health Care Institute, Department of Population Medicine, Harvard Medical School, Boston, Massachusetts,Division of General Pediatrics, Boston Children’s Hospital, Boston, Massachusetts,Associate Editor, JAMA Pediatrics
| | - Dennis Ross-Degnan
- Harvard Pilgrim Health Care Institute, Department of Population Medicine, Harvard Medical School, Boston, Massachusetts
| | - Fang Zhang
- Harvard Pilgrim Health Care Institute, Department of Population Medicine, Harvard Medical School, Boston, Massachusetts
| | - Ann Chen Wu
- Harvard Pilgrim Health Care Institute, Department of Population Medicine, Harvard Medical School, Boston, Massachusetts,Division of General Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
| | - Anna Sinaiko
- Department of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Alon Peltz
- Harvard Pilgrim Health Care Institute, Department of Population Medicine, Harvard Medical School, Boston, Massachusetts,Division of General Pediatrics, Boston Children’s Hospital, Boston, Massachusetts
| | - Xin Xu
- Harvard Pilgrim Health Care Institute, Department of Population Medicine, Harvard Medical School, Boston, Massachusetts,Now with Takeda Pharmaceutical Company, Lexington, Massachusetts
| | - Jamie Wallace
- Harvard Pilgrim Health Care Institute, Department of Population Medicine, Harvard Medical School, Boston, Massachusetts,Now with University of Washington School of Public Health, Seattle, Washington
| | - J. Frank Wharam
- Harvard Pilgrim Health Care Institute, Department of Population Medicine, Harvard Medical School, Boston, Massachusetts
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Association of Controller Use and Exacerbations for High-Deductible Plan Enrollees with and without Family Members with Asthma. Ann Am Thorac Soc 2021; 18:1255-1260. [PMID: 33529568 DOI: 10.1513/annalsats.202008-1084rl] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Persaud N, Bedard M, Boozary A, Glazier RH, Gomes T, Hwang SW, Juni P, Law MR, Mamdani M, Manns B, Martin D, Morgan SG, Oh P, Pinto AD, Shah BR, Sullivan F, Umali N, Thorpe KE, Tu K, Laupacis A. Adherence at 2 years with distribution of essential medicines at no charge: The CLEAN Meds randomized clinical trial. PLoS Med 2021; 18:e1003590. [PMID: 34019540 PMCID: PMC8139488 DOI: 10.1371/journal.pmed.1003590] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 03/19/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Adherence to medicines is low for a variety of reasons, including the cost borne by patients. Some jurisdictions publicly fund medicines for the general population, but many jurisdictions do not, and such policies are contentious. To our knowledge, no trials studying free access to a wide range of medicines have been conducted. METHODS AND FINDINGS We randomly assigned 786 primary care patients who reported not taking medicines due to cost between June 1, 2016 and April 28, 2017 to either free distribution of essential medicines (n = 395) or to usual medicine access (n = 391). The trial was conducted in Ontario, Canada, where hospital care and physician services are publicly funded for the general population but medicines are not. The trial population was mostly female (56%), younger than 65 years (83%), white (66%), and had a low income from wages as the primary source (56%). The primary outcome was medicine adherence after 2 years. Secondary outcomes included control of diabetes, blood pressure, and low-density lipoprotein (LDL) cholesterol in patients taking relevant treatments and healthcare costs over 2 years. Adherence to all appropriate prescribed medicines was 38.7% in the free distribution group and 28.6% in the usual access group after 2 years (absolute difference 10.1%; 95% confidence interval (CI) 3.3 to 16.9, p = 0.004). There were no statistically significant differences in control of diabetes (hemoglobin A1c 0.27; 95% CI -0.25 to 0.79, p = 0.302), systolic blood pressure (-3.9; 95% CI -9.9 to 2.2, p = 0.210), or LDL cholesterol (0.26; 95% CI -0.08 to 0.60, p = 0.130) based on available data. Total healthcare costs over 2 years were lower with free distribution (difference in median CAN$1,117; 95% CI CAN$445 to CAN$1,778, p = 0.006). In the free distribution group, 51 participants experienced a serious adverse event, while 68 participants in the usual access group experienced a serious adverse event (p = 0.091). Participants were not blinded, and some outcomes depended on participant reports. CONCLUSIONS In this study, we observed that free distribution of essential medicines to patients with cost-related nonadherence substantially increased adherence, did not affect surrogate health outcomes, and reduced total healthcare costs over 2 years. TRIAL REGISTRATION ClinicalTrials.gov NCT02744963.
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Affiliation(s)
- Nav Persaud
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Department of Family and Community Medicine, St Michael's Hospital, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Michael Bedard
- Department of Family Medicine, Northern Ontario School of Medicine, Sudbury, Ontario, Canada
| | - Andrew Boozary
- Department of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Richard H Glazier
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Department of Family and Community Medicine, St Michael's Hospital, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Tara Gomes
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
- Applied Health Research Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Stephen W Hwang
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Peter Juni
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Michael R Law
- Centre for Health Services and Policy Research, School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Muhammad Mamdani
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Centre for Healthcare Analytics Research and Training at St Michael's Hospital and Vector Institute, Toronto, Ontario, Canada
| | - Braden Manns
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Danielle Martin
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Women's College Hospital Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, Ontario, Canada
| | - Steven G Morgan
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Paul Oh
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada
| | - Andrew D Pinto
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Baiju R Shah
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Frank Sullivan
- Department of Research and Innovation, North York General Hospital, Toronto, Ontario, Canada
- Division of Population and Behavioral Science, University of St Andrews, Scotland
| | - Norman Umali
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Kevin E Thorpe
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Applied Health Research Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Karen Tu
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Research and Innovation, North York General Hospital, Toronto, Ontario, Canada
| | - Andreas Laupacis
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
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What happens to drug use and expenditure when cost sharing is completely removed? Evidence from a Canadian provincial public drug plan. Health Policy 2020; 124:977-983. [PMID: 32553741 DOI: 10.1016/j.healthpol.2020.05.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 03/06/2020] [Accepted: 05/05/2020] [Indexed: 11/20/2022]
Abstract
OBJECTIVES The role of cost-sharing for medicines is under active policy discussion, including in proposals for value-based insurance design. To inform this debate, we estimated the impact of completely removing cost-sharing on medication use and expenditure using a quasi-experimental approach. METHODS Fair PharmaCare, British Columbia's income-based public drug plan, includes a household out-of-pocket limit. Therefore, when one household member starts a long-term high-cost drug surpassing this maximum, cost-sharing is completely removed for other family members. We used an interrupted time series design to estimate monthly prescriptions and expenditures of other household members, 24 months before and after cost-sharing removal. RESULTS We studied 2191 household members newly free of cost-sharing requirements, most of whom had lower incomes. R emoving cost-sharing increased the level of drug expenditure and prescription numbers by 16 and 19%, respectively (i.e. $2659.43 (95%$1507.27-$3811.59, p < 0.001); 50.0 (95%CI 25.1-74.9, p < 0.001)) relative to prior expenditures and utilization without changing pre-existing trends. Much of this change was driven by 533 individuals initiating medication for the first time after cost-sharing removal. This initiation substantially increased average expenditure, especially for antiviral agents. CONCLUSIONS Completely removing cost-sharing, independent of health status, significantly increased medication use and expenditure particularly due to medicine initiation by new users. While costs may be preventing use, the appropriateness of additional use, especially among new users, is unclear.
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Krack G. How to make value-based health insurance designs more effective? A systematic review and meta-analysis. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2019; 20:841-856. [PMID: 30923986 DOI: 10.1007/s10198-019-01046-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 03/14/2019] [Indexed: 06/09/2023]
Abstract
Value-based health insurance designs (VBIDs) are one approach to increase adherence to highly effective medications and simultaneously contain rising health care costs. The objective of this systematic review was to identify VBID effects on adherence and incentive designs within these programs that were associated with higher effects. Eight economic and medical databases were searched for literature. Random effects meta-analyses and mixed effects meta-regressions were used to synthesize VBID effects on adherence. Thirteen references with evaluation studies, including 12 patient populations with 79 outcomes, were used for primary meta-analyses. For qualitative review and sensitivity analyses, up to 19 references including 20 populations with 119 outcomes were used. Evidence of synthesized effects was good, because references with high risk of bias were excluded. VBIDs significantly increased adherence in all indication areas. Highest effects were found in medications indicated in heart diseases (4.05%-points, p < 0.0001). Each additional year increased effects by 0.15%-points (p < 0.01). VBIDs with education were more effective than without education, but the difference was not significant. Effects of VBIDs with full coverage were more than twice as high as effects of VBID without that option (4.52 vs 1.81%-points, p < 0.05). These findings were robust in most sensitivity analyses. It is concluded that VBID implementation should be encouraged, especially for patients with heart diseases, and that full coverage was associated with higher effects. This review may provide insight for policy-makers into how to make VBIDs more effective.
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Affiliation(s)
- Gundula Krack
- Munich Center of Health Sciences, Ludwig-Maximilians University, Munich, Germany.
- Institute of Health Economics and Health Care Management, HelmholtzZentrum München, Neuherberg, Germany.
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Zhao J, Zheng Z, Han X, Davidoff AJ, Banegas MP, Rai A, Jemal A, Yabroff KR. Cancer History, Health Insurance Coverage, and Cost-Related Medication Nonadherence and Medication Cost-Coping Strategies in the United States. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2019; 22:762-767. [PMID: 31277821 DOI: 10.1016/j.jval.2019.01.015] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 01/15/2019] [Accepted: 01/28/2019] [Indexed: 06/09/2023]
Abstract
OBJECTIVES To evaluate the relationship between cancer history and cost-related medication nonadherence (CRN) as well as cost-coping strategies, by health insurance coverage. METHODS We used the 2013 to 2016 National Health Interview Survey to identify adults aged 18 to 64 years with (n = 3599) and without (n = 56 909) a cancer history. Cost-related changes in medication use included (1) CRN, measured as skipping, taking less, or delaying medication because of cost, and (2) cost-coping strategies, measured as requesting lower cost medication or using alternative therapies to save money. Separate multivariable logistic regressions were used to calculate the adjusted odds ratios (AORs) of CRN and cost-coping strategies associated with cancer history, stratified by insurance. RESULTS Cancer survivors were more likely than adults without a cancer history to report CRN (AOR 1.26; 95% confidence interval [CI] 1.10-1.43) and cost-coping strategies (AOR 1.10; 95% CI 0.99-1.19). Among the privately insured, the difference in CRN by cancer history was the greatest among those enrolled in high-deductible health plans (HDHPs) without health savings accounts (HSAs) (AOR 1.78; 95% CI 1.30-2.44). Among adults with HDHP and HSA, cancer survivors were less likely to report cost-coping strategies (AOR 0.62; 95% CI 0.42-0.90). Regardless of cancer history, CRN and cost-coping strategies were the highest for those uninsured, enrolled in HDHP without HSA, and without prescription drug coverage under their health plan (all P<.001). CONCLUSIONS Cancer survivors are prone to CRN and more likely to use cost-coping strategies. Expanding options for health insurance coverage, use of HSAs for those with HDHP, and enhanced prescription drug coverage may effectively address CRN.
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Affiliation(s)
- Jingxuan Zhao
- Surveillance and Health Services Research Program, American Cancer Society, Atlanta, GA, USA.
| | - Zhiyuan Zheng
- Surveillance and Health Services Research Program, American Cancer Society, Atlanta, GA, USA
| | - Xuesong Han
- Surveillance and Health Services Research Program, American Cancer Society, Atlanta, GA, USA
| | - Amy J Davidoff
- Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA
| | - Matthew P Banegas
- The Center for Health Research, Kaiser Permanente, Portland, OR, USA
| | - Ashish Rai
- Surveillance and Health Services Research Program, American Cancer Society, Atlanta, GA, USA
| | - Ahmedin Jemal
- Surveillance and Health Services Research Program, American Cancer Society, Atlanta, GA, USA
| | - K Robin Yabroff
- Surveillance and Health Services Research Program, American Cancer Society, Atlanta, GA, USA
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12
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Sensharma A, Yabroff KR. Do interventions that address patient cost-sharing improve adherence to prescription drugs? A systematic review of recently published studies. Expert Rev Pharmacoecon Outcomes Res 2019; 19:263-277. [PMID: 30628493 DOI: 10.1080/14737167.2019.1567335] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
INTRODUCTION Poor prescription drug adherence is common, jeopardizing the benefits of treatment and increasing the costs of health care in the United States. A frequently reported barrier to adherence is patient out-of-pocket (OOP) costs. Areas Covered: This systematic review examines interventions that address patient cost-sharing to improve adherence to prescription drugs and reduce costs of care. Twenty-eight published studies were identified with 22 distinct interventions. Most papers were published in or after 2010, and nearly a third were published after 2014. Expert Opinion: Many of the interventions were associated with improved adherence compared to controls, but effects were modest and varied across drug classes. In some studies, adherence remained stable in the intervention group, but declined in the control group. Patient OOP costs generally declined following the intervention, usually as a direct result of the financial structure of the intervention, such as elimination of copayments, and costs to health plans for prescription drugs increased accordingly. For those studies that reported drug and nondrug costs, lower health plan nondrug medical spending generally compensated for increased spending on prescription drugs. With increasing health-care spending, especially for prescription drugs, efforts to improve prescription drug adherence in the United States are important. Federal policies regarding prescription drug prices may have an impact on cost-related nonadherence, but the content and timing of any policies are hard to predict. As such, employers and health plans will face greater pressure to explore innovative approaches to lowering costs and increasing access for beneficiaries. Value-based financial incentive models have the potential to be a part of this effort; research should continue to evaluate their effectiveness.
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Affiliation(s)
- Arijeet Sensharma
- a Frank Batten School of Leadership and Public Policy , University of Virginia , Charlottesville , VA , USA
| | - K Robin Yabroff
- b Intramural Research Department , American Cancer Society , Atlanta , GA , USA
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13
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Agarwal R, Gupta A, Fendrick AM. Value-Based Insurance Design Improves Medication Adherence Without An Increase In Total Health Care Spending. Health Aff (Millwood) 2018; 37:1057-1064. [DOI: 10.1377/hlthaff.2017.1633] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Rajender Agarwal
- Rajender Agarwal is director of the Center for Health Reform, in Southlake, Texas. At the time this work was completed, he was a Business of Medicine MBA candidate at Indiana University’s Kelley School of Business, in Indianapolis
| | - Ashutosh Gupta
- Ashutosh Gupta is associate director of the Center for Health Reform and a gastroenterologist at ProCare Gastroenterology, in Odessa, Texas
| | - A. Mark Fendrick
- A. Mark Fendrick is a professor in the Department of Internal Medicine, University of Michigan, in Ann Arbor
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14
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Miao Y, Gu J, Zhang L, He R, Sandeep S, Wu J. Improving the performance of social health insurance system through increasing outpatient expenditure reimbursement ratio: a quasi-experimental evaluation study from rural China. Int J Equity Health 2018; 17:89. [PMID: 29940956 PMCID: PMC6019724 DOI: 10.1186/s12939-018-0799-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 06/11/2018] [Indexed: 11/10/2022] Open
Abstract
Background China has set up a universal coverage social health insurance system since the 2009 healthcare reform. Due to the inadequate funds, the social health insurance system reimbursed the inpatient expenditures with much higher ratio than outpatient expenditure. The gap in reimbursement ratios resulted in a rapid rising hospitalization rate but poor health outcomes among the Chinese population. A redistribution of social health insurance funds has become one of the main challenges for the performance of Social Health Insurance. Methods Two comparable counties, Dangyang County and Zhijiang County, in Hubei Province of China, were sampled as the intervention group and the control group, respectively. The Social Health Insurance Management Department of the intervention group budgeted 600 yuan per capita per year to the patients with 3rd stage hypertension to cover their outpatient expenditures. The outpatient spending in the control group were paid out-of-pocket. The inpatient expenditures reimbursement policies in both groups were not changed. Besides, the Social Health Insurance Management Department of the intervention group budgeted 100 yuan per patient per year to township physicians and hospitals to provide health management services for the patients. While, the health management services in the control group were still provided by health workers. A Propensity Score Matching model and Difference-in-differences model were used to estimate the net effects of the intervention in dimensions of medical services utilization, medical expenditures, SHI reimbursement, and health outcomes. Results One thousand, six hundred and seventy three pairs of patients were taken as valid subjects to conduct Difference-in-differences estimation after the Propensity Score Matching. The net intervention effect is to increase outpatient frequency by 3.3 (81.0%) times (P < 0.05), to decrease hospitalization frequency by 0.075 (− 60.0%) times (P < 0.05), and to increase the per capita total medical service utilization frequency by 3.225 (76.8%) times (P < 0.05). The per capita total medical expenditure decreased 394.2 (− 27.7%) yuan. The SHI reimbursed 90.3 yuan more per capita for the outpatient spending, but the per capita inpatient expenditure reimbursement and per capita total medical expenditure reimbursement decreased significantly by 282.6 (− 44.0%) yuan and 192.3 (− 28.5%) yuan, respectively (P < 0.05). The intervention reduced the per capita inpatient out-of-pocket expenditure and the per capita total out-of-pocket expenditure by 192.8 (− 36.7%) yuan and 201.9 (− 29.9%) yuan, respectively (P < 0.05). The intervention significantly decreased the diastolic blood pressure of the intervention group by 2.9 mmHg (P < 0.05) but had no significant impact on the systolic blood pressure (− 7.9 mmHg, P > 0.05). Conclusion For China and countries attempting to establish a universal coverage SHI with inadequate funds, inpatient services were expensive but might not produce good health outcomes. Outpatient care for patients with chronic diseases should be fundamental, and outpatient expenditures should be reimbursed with a higher ratio.
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Affiliation(s)
- Yudong Miao
- Henan Provincial People's Hospital, 7 Weiwu Road, Zhengzhou, 450003, Henan Province, China.,School of Health Policy and Management, Nanjing Medical University, Nanjing, China
| | - Jianqin Gu
- Henan Provincial People's Hospital, 7 Weiwu Road, Zhengzhou, 450003, Henan Province, China.
| | - Liang Zhang
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Ruibo He
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Sandeep Sandeep
- School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Jian Wu
- College of Public Health, Zhengzhou University, Zhengzhou, China
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