Assessment of racial and ethnic inequities in copay card utilization and enrollment in copay adjustment programs

评估共付卡使用和共付额调整计划参与方面的种族和民族不平等现象

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Abstract

BACKGROUND: Increases in consumer cost sharing lead to decreases in the use of both high- and low-value care. Copay assistance was designed to reduce out-of-pocket (OOP) cost burden. Commercial insurers have recently instituted copay adjustment programs (CAPs), which exclude copay assistance from deductibles and OOP cost maximums, thereby effectively increasing the financial burden on patients. The utilization of these programs by specific demographic populations is unknown. OBJECTIVE: To assess utilization of copay assistance and CAP exposure in a commercially insured patient population and examine potential differences in the use of each of these programs by non-White and by White patients. METHODS: A retrospective, cross-sectional study using IQVIA Longitudinal Access and Adjudication Data, linked to Experian Marketing Solutions, LLC consumer data, identified unique patients who were younger than 65 years, covered by commercial insurance, had at least 1 pharmacy claim for treatment within prespecified therapeutic areas, and had full financial data visibility on paid claims (ie, nonmissing data on costs associated with the pharmacy claim and the secondary payer) between January 1, 2019, and September 30, 2021. Analyses of copay card use or CAP exposure (defined as the likelihood to be included in the accumulator or maximizer program) between non-White and White patient populations were adjusted for age, gender, household income, patient state of residence, pharmacy benefit manager, state-level CAP policy, and overall drug cost. RESULTS: In total, 4,073,599 unique patients (5.6% of the total database population) were included in the copay card analysis. In adjusted analyses, there were no significant differences in copay card utilization between non-White patients and White patients (odds ratio [OR] = 0.995, 95% CI = 0.99-1.00; P = 0.0964). However, among copay card users, non-White patients were significantly more likely to be exposed to CAPs, as either maximizers (OR = 1.27, 95% CI = 1.22-1.33; P < 0.0001) or accumulators (OR = 1.31, 95% CI = 1.26-1.36; P < 0.0001), compared with White patients. CONCLUSIONS: In an adjusted analysis of this selected sample of a commercially insured population, there was no difference in the use of copay cards between non-White and White patients. CAP exposure, however, was significantly higher among non-White patients. This increased exposure suggests a disproportionate effect due to this reduction in copay assistance benefits, which has the potential to exacerbate racial and ethnic disparities in access to medications. DISCLOSURES: This study was sponsored by Janssen Scientific Affairs, LLC. Mr Ingham, Dr Sadik, and Dr Song are employees of Janssen Scientific Affairs, LLC. Dr Zhao is an employee of IQVIA. Dr Fendrick is a consultant for AbbVie, Amgen, Bayer, CareFirst BlueCross BlueShield, Centivo, Community Oncology Association, Covered California, EmblemHealth, Exact Sciences, Freedman Health, GRAIL, Harvard University, Health & Wellness Innovations, Health at Scale Technologies, HealthCorum, Hygeia, MedsIncontext, MedZed, Merck, Mercer, Montana Health Cooperative, Pair Team, Penguin Pay, Phathom Pharmaceuticals, Proton Intelligence, Risalto Health, Risk International, Sempre Health, Silver Fern Health, State of Minnesota, Teladoc Health, US Department of Defense, Virginia Center for Health Innovation, Wellth, Wildflower Health, Yale New Haven Health System, and Zansors; received research funds from Agency for Healthcare Research and Quality (AHRQ), Boehringer-Ingelheim, Gary and Mary West Health Policy Center, Arnold Ventures, National Pharmaceutical Council, Patient-Centered Outcomes Research Institute (PCORI), Pharmaceutical Research and Manufacturers of America (PhRMA), Robert Wood Johnson (RWJ) Foundation, State of Michigan/The Centers for Medicare & Medicaid Services (CMS); and has an outside position at the American Journal of Managed Care (AJMC; co-editor), Medicare Evidence Development & Coverage Advisory Committee (MEDCAC) member, VBID Health (partner).

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