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Panchal R, Nguyen D, Ghule P, Li N, Giannouchos T, Pan RJ, Biskupiak J, Britton L, Nohavec R, Slager S, Ngorsuraches S, Brixner D. Understanding patient cost-sharing thresholds for diabetes treatment attributes via a discrete choice experiment. J Manag Care Spec Pharm 2023; 29:139-150. [PMID: 36705280 PMCID: PMC10387929 DOI: 10.18553/jmcp.2023.29.2.139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
BACKGROUND: The process used to prefer certain products across drug classes for diabetes is generally focused on comparative effectiveness and cost. However, payers rarely tie patient preference for treatment attributes to formulary management resulting in a misalignment of value defined by providers, payers, and patients. OBJECTIVES: To explore patients' willingness to pay (WTP) for the predetermined high-value and low-value type 2 diabetes mellitus (T2DM) treatments within a health plan. METHODS: A cross-sectional discrete choice experiment (DCE) survey was used to determine patient preference for the benefit, risk, and cost attributes of T2DM treatments. A comprehensive literature review of patient preference studies in diabetes and a review of guidelines and medical literature identified study attributes. Patients and diabetes experts were interviewed and instructed to identify, prioritize, and comment on which attributes of diabetes treatments were most important to T2DM patients. The patients enrolled in a health plan were asked to respond to the survey. A multinomial logit model was developed to determine the relative importance and the patient's WTP of each attribute. The patients' relative values based on WTPs for T2DM treatments were calculated and compared with the treatments by a health plan. RESULTS: A total of 7 attributes were selected to develop a web-based DCE questionnaire survey. The responses from a total of 58 patients were analyzed. Almost half (48.3%) of the respondents took oral medications and injections for T2DM. The most prevalent side effects due to diabetes medications were gastrointestinal (43.1%), followed by weight gain (39.7%) and nausea (32.8%). Patients were willing to pay more for treatments with proven cardiovascular benefit and for the risk reduction of hospitalization from heart failure. On the other hand, they would pay less for treatments with higher gastrointestinal side effects. Patients were willing to pay the most for sodium-glucose cotransporter 2 inhibitor and glucagon-like peptide 1 receptor agonist agents and the least for dipeptidyl peptidase-4 inhibitors and thiazolidinediones. CONCLUSIONS: This study provides information to better align patient, provider, and payer preferences in both benefit design and value-based formulary strategy for diabetes treatments. A preferred placement of treatments with cardiovascular benefits and lower adverse gastrointestinal side effects may lead to increased adherence to medications and improved clinical outcomes at a lower overall cost to both patients and their health plan. DISCLOSURES: This study was supported by a grant from the PhRMA Foundation.
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Affiliation(s)
- Rupesh Panchal
- Pharmacotherapy Outcomes Research Center, University of Utah, Salt Lake City.,University of Utah Health Plans, Murray
| | - Danielle Nguyen
- Pharmacotherapy Outcomes Research Center, University of Utah, Salt Lake City
| | - Priyanka Ghule
- Pharmacotherapy Outcomes Research Center, University of Utah, Salt Lake City
| | - Niying Li
- Pharmacotherapy Outcomes Research Center, University of Utah, Salt Lake City
| | | | - Raymond J Pan
- Pharmacotherapy Outcomes Research Center, University of Utah, Salt Lake City
| | - Joseph Biskupiak
- Pharmacotherapy Outcomes Research Center, University of Utah, Salt Lake City
| | - Laura Britton
- Pharmacotherapy Outcomes Research Center, University of Utah, Salt Lake City.,University of Utah Health Plans, Murray
| | - Robert Nohavec
- Pharmacotherapy Outcomes Research Center, University of Utah, Salt Lake City.,University of Utah Health Plans, Murray
| | - Stacey Slager
- Pharmacotherapy Outcomes Research Center, University of Utah, Salt Lake City
| | | | - Diana Brixner
- Pharmacotherapy Outcomes Research Center, University of Utah, Salt Lake City
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Do LA, Koethe BC, Daly AT, Chambers JD, Ollendorf DA, Wong JB, Fendrick AM, Neumann PJ, Kim DD. State-Level Variation In Low-Value Care For Commercially Insured And Medicare Advantage Populations. Health Aff (Millwood) 2022; 41:1281-1290. [PMID: 36067429 DOI: 10.1377/hlthaff.2022.00325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Low-value care is a major source of health care inefficiency in the US. Our analysis of 2009-19 administrative claims data from OptumLabs Data Warehouse found that low-value care and associated spending remain prevalent among commercially insured and Medicare Advantage enrollees. The aggregated prevalence of twenty-three low-value services was 1,920 per 100,000 eligible enrollees, which amounted to $3.7 billion in wasteful expenditures during the study period. State-level variation in spending was greater than variation in utilization, and much of the variation in spending was driven by differences in average procedure prices. If the average price for twenty-three low-value services among the top ten states in spending were set to the national average, their spending would decrease by 19.8 percent (from $735,000 to $590,000 per 100,000 eligible enrollees). State-level actions to improve the routine measurement and reporting of low-value care could identify sources of variation and help design state-specific policies that lead to better patient-centered outcomes, enhanced equity, and more efficient spending.
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Affiliation(s)
- Lauren A Do
- Lauren A. Do, Tufts Medical Center, Boston, Massachusetts
| | | | | | - James D Chambers
- James D. Chambers, Tufts Medical Center and Tufts University, Boston, Massachusetts
| | | | - John B Wong
- John B. Wong, Tufts Medical Center and Tufts University
| | - A Mark Fendrick
- A. Mark Fendrick, University of Michigan, Ann Arbor, Michigan
| | | | - David D Kim
- David D. Kim , Tufts Medical Center and Tufts University
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Shin Y, Lee JS, Do YK. Increase in Potential Low-value Magnetic Resonance Imaging Utilization due to Out-of-pocket Payment Reduction Across Income Groups: An Experimental Vignette Study. J Prev Med Public Health 2022; 55:389-397. [PMID: 35940194 PMCID: PMC9371780 DOI: 10.3961/jpmph.22.208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 06/20/2022] [Indexed: 11/09/2022] Open
Affiliation(s)
- Yukyung Shin
- Department of Health Policy and Management, Seoul National University College of Medicine, Seoul,
Korea
| | - Ji-Su Lee
- Department of Health Policy and Management, Seoul National University College of Medicine, Seoul,
Korea
| | - Young Kyung Do
- Department of Health Policy and Management, Seoul National University College of Medicine, Seoul,
Korea
- Institute of Health Policy and Management, Seoul National University Medical Research Center, Seoul,
Korea
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Weinmeyer RM, McHugh M, Coates E, Bassett S, O'Dwyer LC. Employer-Led Strategies to Improve the Value of Health Spending: A Systematic Review. J Occup Environ Med 2022; 64:218-225. [PMID: 35244086 PMCID: PMC8887846 DOI: 10.1097/jom.0000000000002395] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To systematically review studies that evaluated the impact of employer-led efforts in the United States to improve the value of health spending, where employers have implemented changes to their health benefits to reduce costs while improving or maintaining quality. METHODS We included all studies of employer-led health benefit strategies that reported outcomes for both employer health spending and employee health outcomes. RESULTS Our search returned 44 studies of employer health benefit changes that included measures of both health spending and quality. The most promising efforts were those that lowered or eliminated cost sharing for primary care or medications for chronic illnesses. High deductible health plans with a savings option appeared less promising. CONCLUSIONS More research is needed on the characteristics and contexts in which these benefit changes were implemented, and on actions that address employers' current concerns.
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Affiliation(s)
- Richard M Weinmeyer
- Northwestern University, Chicago, Illinois (Dr Weinmeyer, Dr McHugh, Dr Basset, and Ms O'Dwyer); UnitedHealth Group, Minneapolis, Minnesota (Ms Coates)
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Cliff BQ, Avanceña ALV, Hirth RA, Lee SYD. The Impact of Choosing Wisely Interventions on Low-Value Medical Services: A Systematic Review. Milbank Q 2021; 99:1024-1058. [PMID: 34402553 DOI: 10.1111/1468-0009.12531] [Citation(s) in RCA: 74] [Impact Index Per Article: 24.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Policy Points Dissemination of Choosing Wisely guidelines alone is unlikely to reduce the use of low-value health services. Interventions by health systems to implement Choosing Wisely guidelines can reduce the use of low-value services. Multicomponent interventions targeting clinicians are currently the most effective types of interventions. CONTEXT Choosing Wisely aims to reduce the use of unnecessary, low-value medical services through development of recommendations related to service utilization. Despite the creation and dissemination of these recommendations, evidence shows low-value services are still prevalent. This paper synthesizes literature on interventions designed to reduce medical care identified as low value by Choosing Wisely and evaluates which intervention characteristics are most effective. METHODS We searched peer-reviewed and gray literature from the inception of Choosing Wisely in 2012 through June 2019 to identify interventions in the United States motivated by or using Choosing Wisely recommendations. We also included studies measuring the impact of Choosing Wisely on its own, without interventions. We developed a coding guide and established coding agreement. We coded all included articles for types of services targeted, components of each intervention, results of the intervention, study type, and, where applicable, study quality. We measured the success rate of interventions, using chi-squared tests or Wald tests to compare across interventions. FINDINGS We reviewed 131 articles. Eighty-eight percent of interventions focused on clinicians only; 48% included multiple components. Compared with dissemination of Choosing Wisely recommendations only, active interventions were more likely to generate intended results (65% vs 13%, p < 0.001) and, among those, interventions with multiple components were more successful than those with one component (77% vs 47%, p = 0.002). The type of services targeted did not matter for success. Clinician-based interventions were more effective than consumer-based, though there is a dearth of studies on consumer-based interventions. Only 17% of studies included a control arm. CONCLUSIONS Interventions built on the Choosing Wisely recommendations can be effective at changing practice patterns to reduce the use of low-value care. Interventions are more effective when targeting clinicians and using more than one component. There is a need for high-quality studies that include active controls.
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Affiliation(s)
- Betsy Q Cliff
- School of Public Health, University of Illinois Chicago
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Gunn AH, Sorenson C, Greenup RA. Navigating the high costs of cancer care: opportunities for patient engagement. Future Oncol 2021; 17:3729-3742. [PMID: 34296620 DOI: 10.2217/fon-2021-0341] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Over the past decade, the financial burden of cancer care on patients and their families has garnered increased attention. Many of the potential solutions have focused on system-level interventions such as adopting value-based payment models and negotiating drug prices; less consideration has been given to actions at the patient level to address cancer care costs. We argue that it is imperative to develop and support patient-level strategies that engage patients and consider their preferences, values and individual circumstances. Opportunities to meet these aims and improve the economic experience of patients in oncology are discussed, including: shared decision-making and communication, financial navigation and treatment planning, digital technology and alternative care pathways, and value-based insurance design.
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Affiliation(s)
- Alexander H Gunn
- School of Medicine, Duke University, Durham, NC 27710, USA.,Duke-Margolis Center for Health Policy, Duke University, Durham, NC 27710, USA
| | - Corinna Sorenson
- Duke-Margolis Center for Health Policy, Duke University, Durham, NC 27710, USA.,Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC 27708, USA.,Sanford School of Public Policy, Duke University, Durham, NC 27710, USA
| | - Rachel A Greenup
- Department of Surgery, School of Medicine, Yale University, New Haven, CT 06510, USA.,Smilow Cancer Hospital, Yale University, New Haven, CT 06510, USA.,Yale Cancer Center, Yale University, New Haven, CT 06510, USA
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Mafi JN, Reid RO, Baseman LH, Hickey S, Totten M, Agniel D, Fendrick AM, Sarkisian C, Damberg CL. Trends in Low-Value Health Service Use and Spending in the US Medicare Fee-for-Service Program, 2014-2018. JAMA Netw Open 2021; 4:e2037328. [PMID: 33591365 PMCID: PMC7887655 DOI: 10.1001/jamanetworkopen.2020.37328] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 12/09/2020] [Indexed: 12/11/2022] Open
Abstract
Importance Low-value care, defined as care offering no net benefit in specific clinical scenarios, is associated with harmful outcomes in patients and wasteful spending. Despite a national education campaign and increasing attention on reducing health care waste, recent trends in low-value care delivery remain unknown. Objective To assess national trends in low-value care use and spending. Design, Setting, and Participants In this cross-sectional study, analyses of low-value care use and spending from 2014 to 2018 were conducted using 100% Medicare fee-for-service enrollment and claims data. Included individuals were aged 65 years or older and continuously enrolled in Medicare parts A, B, and D during each measurement year and the previous year. Data were analyzed from September 2019 through December 2020. Exposure Being enrolled in fee-for-service Medicare for a period of time, in years. Main Outcomes and Measures The Milliman MedInsight Health Waste Calculator was used to assess 32 claims-based measures of low-value care associated with Choosing Wisely recommendations and other professional guidelines. The calculator designates services as wasteful, likely wasteful, or not wasteful based on an absence of indication of appropriate use in the claims history; calculator-designated wasteful services were defined as low-value care. Spending was calculated as claim-line level (ie, spending on the low-value service) and claim level (ie, spending on the low-value service plus associated services), adjusting for inflation. Results Among 21 045 759 individuals with fee-for-service Medicare (mean [SD] age, 77.4 [7.9] years; 12 515 915 [59.5%] women), the percentage receiving any of 32 low-value services decreased from 36.3% (95% CI, 36.3%-36.4%) to 33.6% (95% CI, 33.6%-33.6%) from 2014 to 2018. Uses of low-value services per 1000 individuals decreased from 677.8 (95% CI, 676.2-679.5) to 632.7 (95% CI, 632.6-632.8) from 2014 to 2018. Three services comprised approximately two-thirds of uses among 32 low-value services per 1000 individuals: preoperative laboratory testing decreased from 213.8 (95% CI, 213.4-214.2) to 166.2 (95% CI, 166.2-166.2), while opioids for back pain increased from 154.4 (95% CI, 153.6-155.2) to 182.1 (95% CI, 182.1-182.1) and antibiotics for upper respiratory infections increased from 75.0 (95% CI, 75.0-75.1) to 82 (95% CI, 82.0-82.0). Spending per 1000 individuals on low-value care also decreased, from $52 765.5 (95% CI, $51 952.3-$53 578.6) to $46 921.7 (95% CI, $46 593.7-$47 249.7) at the claim-line level and from $160 070.4 (95% CI, $158 999.8-$161 141.0) to $144 741.1 (95% CI, $144 287.5-$145 194.7) at the claim level. Conclusions and Relevance This cross-sectional study found that among individuals with fee-for-service Medicare receiving any of 32 measured services, low-value care use and spending decreased marginally from 2014 to 2018, despite a national education campaign in collaboration with clinician specialty societies and increased attention on low-value care. While most use of low-value care came from 3 services, 1 of these was opioid prescriptions, which increased over time despite the harms associated with their use. These findings may represent several opportunities to prevent patient harm and lower spending.
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Affiliation(s)
- John N. Mafi
- Division of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine at the University of California, Los Angeles
- RAND Health Care, RAND Corporation, Santa Monica, California
| | - Rachel O. Reid
- RAND Health Care, RAND Corporation, Boston, Massachusetts
- Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Harvard University, Boston, Massachusetts
| | | | - Scot Hickey
- RAND Health Care, RAND Corporation, Santa Monica, California
| | - Mark Totten
- RAND Health Care, RAND Corporation, Santa Monica, California
| | - Denis Agniel
- RAND Health Care, RAND Corporation, Santa Monica, California
| | - A. Mark Fendrick
- Department of Internal Medicine, University of Michigan, Ann Arbor
- Center for Value-Based Insurance Design, University of Michigan, Ann Arbor
| | - Catherine Sarkisian
- Division of Geriatrics, David Geffen School of Medicine at the University of California, Los Angeles
- Geriatric Research Education and Clinical Center, VA Greater Los Angeles Healthcare System, Los Angeles, California
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