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Preventive Drug Lists Reduce Income-Related Disparities in Medication Adherence Over 2 Years

A Natural Experiment for Translation in Diabetes (Next-D) Study

Bibliographic Data

ID9104609
AuthorsDennis Ross-Degnan (0000-0002-0066-1242, Division of Health Policy and Insurance Research, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, corresponding author), Stephanie Argetsinger (0009-0009-0609-3811, Division of Health Policy and Insurance Research, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, corresponding author), Christine Y Lu (0000-0002-8227-9177, Division of Health Policy and Insurance Research, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, corresponding author), Anita K Wagner (0000-0002-1069-6668, Harvard Pilgrim Health Care, corresponding author), Anita Wagner (Division of Health Policy and Insurance Research, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA), Matt Lakoma (Division of Health Policy and Insurance Research, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, corresponding author), Fang Zhang (0000-0001-8108-3132, Division of Health Policy and Insurance Research, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, corresponding author), J Frank Wharam (0000-0003-2053-0757, Division of Health Policy and Insurance Research, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA)
Year2025
Volume63
Issue10
Pages740-748
Publication date2025-10-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000002186
PMID40730343
OpenAlexW4412769552
LanguageEN
References cited23

BACKGROUND: Employers add Preventive Drug Lists (PDLs) to commercial insurance plans to reduce out-of-pocket payments for medicines that treat important chronic illnesses. OBJECTIVE: This study examined the impact of PDLs among patients with pre-existing diabetes. RESEARCH DESIGN: Interrupted time series design with difference-in-difference analysis. SUBJECTS: We identified 5575 patients aged 12-64 with diabetes whose employers adopted PDL coverage for 2 years after a baseline year without; an equivalent number of matched and weighted controls were selected from employers that did not offer PDL plans. MEASURES: Utilization, out-of-pocket payments, and medication adherence overall, among lower-income patients, and for those paying full cost for medicines under high-deductible plans. RESULTS: Compared with controls, patients with PDL coverage experienced large, statistically significant 35%-55% relative reductions in OOP payments. The PDL group experienced significant relative increases in 30-day fills in follow-up year 1 for noninsulin antidiabetics (+9.5) and a nonsignificant increase for insulin (+6.2%); these were matched by similar increases in percentage of days in which medicines were available. Increases were all substantially greater in the second follow-up year, larger among lower-income patients, and greatest by year 2 for lower-income patients in high-deductible plans with health savings accounts. CONCLUSIONS: PDL coverage was associated with substantial reductions in OOP payments for medications to manage diabetes and cardiovascular risk. Patients on antidiabetic medications, especially those with lower incomes, experienced improvements in adherence, which grew over time

Actuarial science · Business · Deductible · Diabetes mellitus · Environmental health · Family medicine · Health care · Health insurance · Payment · Advanced Causal Inference Techniques · Demography · Economic and Financial Impacts of Cancer · Emergency Medicine · Finance · Medication Adherence and Compliance · Medicine

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