Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

A Comparison of Self-reported Medication Adherence to Concordance Between Part D Claims and Medication Possession

Bibliographic Data

ID9100404
AuthorsSamuel T Savitz (0000-0003-3190-7740, Department of Health Policy & Management, corresponding author), Sally C Stearn (0000-0002-1129-0838, University of North Carolina at Chapel Hill, corresponding author), Sally C Stearns (Department of Health Policy & Management), Lei Zhou (0000-0003-0741-5703, Department of Health Policy & Management, corresponding author), Emily M Thudium (University of North Carolina Health Care), Emily Thudium (UNC Eshelman School of Pharmacy, Chapel Hill, NC), Khalid A Alburikan (UNC Eshelman School of Pharmacy, Chapel Hill, NC), Richard Tran (0000-0002-4927-5414, UNC Eshelman School of Pharmacy, Chapel Hill, NC), Jo E Rodgers (0000-0001-6016-0469, UNC Eshelman School of Pharmacy, Chapel Hill, NC)
Year2017
Volume55
Issue5
Pages500-505
Publication date2017-05-01
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.0000000000000701
PMID28221276
OpenAlexW2589051577
LanguageEN
References cited10

OBJECTIVE: Medicare Part D claims indicate medication purchased, but people who are not fully adherent may extend prescription use beyond the interval prescribed. This study assessed concordance between Part D claims and medication possession at a study visit in relation to self-reported medication adherence. MATERIALS AND METHODS: We matched Part D claims for 6 common medications to medications brought to a study visit in 2011-2013 for the Atherosclerosis Risk in Communities study. The combined data consisted of 3027 medication events (claims, medications possessed, or both) for 2099 Atherosclerosis Risk in Communities study participants. Multinomial logistic regression estimated the association of concordance (visit only, Part D only, or both) with self-reported medication adherence while controlling for sociodemographic characteristics, veteran status, and availability under Generic Drug Discount Programs. RESULTS: Relative to participants with high adherence, medication events for participants with low adherence were approximately 25 percentage points less likely to match and more likely to be visit only (P<0.001). The results were similar but smaller in magnitude (approximately 2-3 percentage points) for participants with medium adherence. Compared with females, medication events for male veterans were approximately 11 percentage points less likely to match and more likely to be visit only. Events for medications available through Generic Drug Discount Programs were 3 percentage points more likely to be visit only. CONCLUSIONS: Part D claims were substantially less likely to be concordant with medications possessed at study visit for participants with low self-reported adherence. This result supports the construction of adherence proxies such as proportion days covered using Part D claims

Concordance · Confidence interval · Family medicine · Logistic regression · Medical prescription · Medicare Part D · Medication adherence · Multinomial logistic regression · Possession (linguistics) · Prescription drug · Demography · Internal Medicine · Medication Adherence and Compliance · Medicine · Pharmaceutical Economics and Policy · Pharmaceutical industry and healthcare

  • Adherence to Medication

    Lars Osterberg, Terrence F Blaschke et al.•New England Journal of Medicine•2005

  • Implications of the Accuracy of Meps Prescription Drug Data for Health Services Research

    Open Access•Sarah Catherine Hill, Steven C Hill et al.•INQUIRY The Journal of Health…•2011

  • Concurrent and Predictive Validity of a Self-reported Measure of Medication Adherence

    Donald E Morisky, Lawrence W Green et al.•Medical Care•1986

  • Assessing Medicare Part D Claim Completeness Using Medication Self-Reports

    Lei Zhou, Sally C Stearn et al.•Medical Care•2015

Citation velocityhistorical
Highly citedNo

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae