Measuring the multiple domains of medication nonadherence: findings from a Delphi survey of adherence experts

Author:

Kronish Ian M1ORCID,Thorpe Carolyn T23,Voils Corrine I45

Affiliation:

1. Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, USA

2. Division of Pharmaceutical Outcomes and Policy, University of North Carolina, Eshelman School of Pharmacy, Chapel Hill, NC, USA

3. Center for Health Equity Research and Promotion, Veterans Affairs Pittsburgh Healthcare System’s, Pittsburgh, PA, USA

4. Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA

5. Center for Health Services Research in Primary Care, William S. Middleton Memorial Veterans Hospital, Madison, WI, USA

Abstract

Abstract Consensus on a gold-standard measure of patient medication nonadherence has been elusive, in part because medication nonadherence involves multiple, distinct behaviors across three phases (initiation, implementation, and persistence). To assess these behaviors, multiple measurement approaches may be needed. The purpose of this study was to identify expert-recommended approaches to measuring nonadherence behaviors. Thirty medication nonadherence experts were e-mailed two consecutive surveys. In both, respondents rated their agreement with definitions of nonadherence behaviors and measurement approaches. In the second survey, respondents rated the suitability of each measurement approach for assessing each behavior and identified the optimal measurement approach for each behavior. Consensus was achieved for eight patient medication nonadherence behaviors: not filling initial prescription and not taking first dose (noninitiation); refilling prescription late, missing doses, taking extra doses, taking doses at wrong time, and improperly administering medication (incorrect implementation); and discontinuing medication early (nonpersistence). Consensus was achieved for seven measurement approaches: self-report, prescription fill data, pill count, drug levels, electronic drug monitoring (EDM), smart technology, and direct observation. Self-report questionnaires were most commonly rated “at least somewhat suitable” for measuring behaviors. EDM was rated as optimal for measuring missing doses, taking extra doses, and taking doses at the wrong time. Prescription fill data were rated as optimal for not filling initial prescription, refilling late, and discontinuing. Direct observation was rated as optimal for measuring improper administration. Suitable and optimal measurement approaches varied across nonadherence behaviors. Researchers should select the measurement approach best suited to assessing the behavior(s) targeted in their research.

Funder

National Institutes for Aging

National Heart, Lung, and Blood Institute

Veterans Affairs Health Services Research & Development Service

Publisher

Oxford University Press (OUP)

Subject

Behavioral Neuroscience,Applied Psychology

Reference46 articles.

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