Evidence map›Paper›PMID 31580451›Full record

ArticleTranslational behavioral medicine2021

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

Ian M Kronish, Carolyn T Thorpe, Corrine I Voils

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. Not obtaining a medication the first time it is prescribed: primary non-adherence to cardiovascular pharmacotherapy.Clinical research in cardiology : official journal of the German Cardiac Society · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ian M KronishCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, USA.
Carolyn T ThorpeDivision of Pharmaceutical Outcomes and Policy, University of North Carolina, Eshelman School of Pharmacy, Chapel Hill, NC, USA.
Corrine I VoilsDepartment of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Columbia University Science of Behavior Change Resource and Coordinating Center renewal -Ontology Administrative SupplementU24AG052175 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI EDMONDSON, DONALD · 2015 to 2024
$14.5M
Impact of PTSD on cardiovascular risk in survivors of stroke and transient ischemic attackR01HL132347 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI EDMONDSON, DONALD, KRONISH, IAN MATTHEW · 2016 to 2019
$3.1M
PTSD, Medication Adherence, and Prognosis after Acute Coronary SyndromesR01HL123368 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DAVIDSON, KARINA W., KRONISH, IAN MATTHEW · 2014 to 2017
$1.6M
NCATS NIH HHS UL1 TR001873NHLBI NIH HHS R01 HL123368NHLBI NIH HHS R01 HL132347NIA NIH HHS U24 AG052175
6 · The paper itself

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.

Indexed as

Medication AdherenceConsensusHumansSelf ReportSurveys and QuestionnairesMeasurementMedication nonadherenceQualitative methods

Identifiers

PMID31580451
PMCPMC7877304

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.