Standardizing Terminology and Definitions of Medication Adherence and Persistence in Research Employing Electronic Databases

Datos Bibliográficos

ID9099645
AutoresMarsha A Raebel (0000-0002-8485-7161, University of Colorado Anschutz Medical Campus, autor de correspondencia), Julie Schmittdiel, Julie A Schmittdiel (0000-0001-8995-5345, Kaiser Permanente), Andrew J Karter (0000-0001-5527-316X, Kaiser Permanente), Jennifer L Konieczny (University of Montana), J F Steiner (0000-0002-6514-6057, Kaiser Permanente, autor de correspondencia)
Año2013
Volumen51
NúmeroSupplement 8Suppl 3
PáginasS11-S21
Fecha de publicación2013-08-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e31829b1d2a
PMID23774515
PMCIDPMC3727405
OpenAlexW2014390724
IdiomaEN
Citas recibidas11
Referencias citadas9

OBJECTIVE: To propose a unifying set of definitions for prescription adherence research utilizing electronic health record prescribing databases, prescription dispensing databases, and pharmacy claims databases and to provide a conceptual framework to operationalize these definitions consistently across studies. METHODS: We reviewed recent literature to identify definitions in electronic database studies of prescription-filling patterns for chronic oral medications. We then develop a conceptual model and propose standardized terminology and definitions to describe prescription-filling behavior from electronic databases. RESULTS: The conceptual model we propose defines 2 separate constructs: medication adherence and persistence. We define primary and secondary adherence as distinct subtypes of adherence. Metrics for estimating secondary adherence are discussed and critiqued, including a newer metric (New Prescription Medication Gap measure) that enables estimation of both primary and secondary adherence. DISCUSSION: Terminology currently used in prescription adherence research employing electronic databases lacks consistency. We propose a clear, consistent, broadly applicable conceptual model and terminology for such studies. The model and definitions facilitate research utilizing electronic medication prescribing, dispensing, and/or claims databases and encompasses the entire continuum of prescription-filling behavior. CONCLUSION: Employing conceptually clear and consistent terminology to define medication adherence and persistence will facilitate future comparative effectiveness research and meta-analytic studies that utilize electronic prescription and dispensing records

Conceptual framework · Consistency (knowledge bases) · Data science · Database · Electronic health record · Health care · Information retrieval · Medical prescription · Operationalization · Terminology · Artificial Intelligence · Computer Science · Digital Mental Health Interventions · Medication Adherence and Compliance · Medicine · Mobile Health and mHealth Applications · Nursing