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      Projected Impact of the Medicare Part D Senior Savings Model on Diabetes-Related Health and Economic Outcomes Among Insulin Users Covered by Medicare

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          Abstract

          OBJECTIVE

          The Medicare Part D Senior Savings Model (SSM) took effect on 1 January 2021. In this study we estimated the number of beneficiaries who would benefit from SSM and the long-term health and economic consequences of implementing this new policy.

          RESEARCH DESIGN AND METHODS

          Data for Medicare beneficiaries with diabetes treated with insulin were extracted from the 2018 Medical Expenditure Panel Survey. A validated diabetes microsimulation model estimated health and economic impacts of the new policy for the 5-year initial implementation period and a 20-year extended policy horizon. Costs were estimated from a health system perspective.

          RESULTS

          Of 4.2 million eligible Medicare beneficiaries, 1.6 million (38.3%) would benefit from the policy, and out-of-pocket (OOP) costs per year per beneficiary would decrease by 61% or $500 on average. Compared with non-White subgroups, the White population subgroups would have a higher proportion of SSM enrollees (29.6% vs. 43.7%) and a higher annual OOP cost reduction (reduction of $424 vs. $531). Among the SSM enrollees, one-third (605,125) were predicted to have improved insulin adherence due to lower cost sharing and improved health outcomes. In 5 years, the SSM would 1) avert 2,014 strokes, 935 heart attacks, 315 heart failure cases, and 344 end-stage renal disease cases; 2) gain 3,220 life-years and 3,381 quality-adjusted life-years (QALY); and 3) increase insulin cost and total medical cost by $3.5 billion and $2.8 billion. In 20 years, the number of avoided clinical outcomes, number of life-years and QALY gained, and the total and insulin cost would be larger.

          CONCLUSIONS

          The Medicare SSM may reduce the OOP costs for approximately one-third of the Medicare beneficiaries treated with insulin, improving health outcomes via increased insulin adherence. However, the SSM will also increase overall Medicare spending for insulin and overall medical costs, which may impact future premiums and benefits. Our findings can inform policy makers about the potential impact of the new Medicare SSM.

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          Most cited references18

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          A review of diabetes treatment adherence and the association with clinical and economic outcomes.

          The benefits of drug therapy to diabetic patients in terms of glycemic control, microvascular complications, cardiovascular event risk, mortality, and quality of life have been well established by clinical trial data. However, it has been a challenge to quantify the relationship between adherence and outcomes such as glycemic control, disease-related events, hospitalizations, cost, and quality of life. This article provides a comprehensive summary of empirical studies that examine the associations between adherence and glycemic control, health care utilization, quality of life, and mortality in patients with diabetes. It is intended to provide a framework for researchers interested in conducting studies to improve their understanding of the value of medication adherence for patients with diabetes. Relevant published articles were identified through searches of the National Center for Biotechnology PubMed database. Medical subject heading (MESH) terms diabetes mellitus, hypoglycemic agents, and insulin, were each combined with the MESH term medication adherence and with the subheadings economics, prevention and control, psychology, statistics and numerical data, therapy, adverse effects, therapeutic use, and administration and dosage, where available. Studies were included if they met the following criteria: (1) analyzed empirical data on some measure of patient adherence to diabetes pharmacotherapy; (2) described methods for measuring patient adherence; (3) evaluated economic, clinical, or humanistic outcomes related to diabetes; and (4) had as a goal of the research to evaluate the link between patient adherence and outcomes (as a primary or secondary objective). The data from the articles meeting these criteria were then abstracted, including mention of the specific interventions being compared, specific methods for measuring adherence, outcomes compared between adherent and nonadherent patients and how these outcomes were measured, and information on variables that were adjusted for in predictive and causal multivariable models. A total of 37 articles that met all 4 criteria in this review underwent data extraction. Of these studies, 22 (59%) used objective measures to assess adherence, with 1 study using pill counts to assess adherence and 21 using either pharmacy claims or similar refill records to assess refill behavior. The remaining 15 (41%) studies used a wide variety of subjective patient-reported adherence assessments. The majority (13/23 [57%]) of the glycemic control studies reported that improved adherence was associated with better glycemic control. The ability to draw a distinction between adherence and glycemic control tended to occur more frequently [7/9 (78%)] among studies that characterized adherence in terms of prescription refills compared with studies that used various constructs for patient-reported adherence measures. Based on the literature, better adherence was found to be associated with improved glycemic control and decreased health care resource utilization. There was no consistent association between improved adherence and decreased health care costs. Little data were available on the association between adherence and quality of life. Copyright © 2011 Elsevier HS Journals, Inc. Published by EM Inc USA. All rights reserved.
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            Insulin Access and Affordability Working Group: Conclusions and Recommendations

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              The association between diabetes metabolic control and drug adherence in an indigent population.

              Studies of the association between diabetes metabolic control and adherence to drug therapy have yielded conflicting results. Because low socioeconomic and minority populations have poorer diabetes outcomes and greater barriers to adherence, we examined the relationship between adherence and diabetes metabolic control in a large indigent population. The study population consisted of patients receiving medical care from a university-based internal medicine clinic serving a low-income population in rural central Virginia. The sample comprised 810 patients with type 2 diabetes who received oral diabetes medications from the clinic pharmacy and had at least one HbA(1c) determination during the study period. Multiple linear regression was used to examine the association of HbA(1c) level as well as change in HbA(1c) level with medication adherence, demographic, and clinical characteristics. Better metabolic control was independently associated with greater medication adherence, increasing age, white (versus African-American) race, and lower intensity of drug therapy. For each 10% increment in drug adherence, HbA(1c) decreased by 0.16% (P < 0.0001). Controlling for other demographic and clinical variables, the mean HbA(1c) of African-Americans was 0.29% higher than that of whites (P = 0.04). Additionally, the intensity of diabetes drug therapy for African-Americans was lower, as was their measured adherence to it. There was no association between metabolic control and gender, income, encounter frequency, frequency of HbA(1c) testing, or continuity of care. Adherence to medication regimens for type 2 diabetes is strongly associated with metabolic control in an indigent population; African-Americans have lower adherence and worse metabolic control. Greater efforts are clearly needed to facilitate diabetes self-management behaviors of low-income populations and foster culturally sensitive and appropriate care for minority groups.
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                Author and article information

                Contributors
                Journal
                Diabetes Care
                American Diabetes Association
                0149-5992
                August 01 2022
                July 26 2022
                August 01 2022
                July 26 2022
                : 45
                : 8
                : 1814-1821
                Article
                10.2337/dc21-2601
                35700384
                0c528c85-2c77-4eba-9180-4c3061e39821
                © 2022

                https://www.diabetesjournals.org/content/license

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