Evidence map›Paper›PMID 26931748›Full record

SynthesisAmerican journal of health behavior2016

Meta-analyses of Theory Use in Medication Adherence Intervention Research.

Vicki S Conn, Maithe Enriquez, Todd M Ruppar, Keith C Chan

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in American journal of health behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 6 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

45 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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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

4 authors.

Vicki S ConnUniversity of Missouri School of Nursing, Columbia, MO, USA conn@missouri.edu.
Maithe EnriquezUniversity of Missouri School of Nursing, Columbia, MO, USA.
Todd M RupparUniversity of Missouri School of Nursing, Columbia, MO, USA.
Keith C ChanUniversity of Missouri School of Nursing, Columbia, MO, USA.

Funding

Meta-Analysis of Interventions to Improve Medication AdherenceR01NR011990 · NINR · UNIVERSITY OF MISSOURI-COLUMBIA · PI CONN, VICKI S · 2010 to 2013
$1.7M
NINR NIH HHS R01 NR011990NINR NIH HHS R01NR011990
6 · The paper itself

Abstract

objectiveThis systematic review applied meta-analytic procedures to integrate primary research that examined theory- or model-linked medication adherence interventions.

methodsExtensive literature searching strategies were used to locate trials testing interventions with medication adherence behavior outcomes measured by electronic event monitoring, pharmacy refills, pill counts, and self-reports. Random-effects model analysis was used to calculate standardized mean difference effect sizes for medication adherence outcomes.

resultsCodable data were extracted from 146 comparisons with 19,348 participants. The most common theories and models were social cognitive theory and motivational interviewing. The overall weighted effect size for all interventions comparing treatment and control participants was 0.294. The effect size for interventions based on single-theories was 0.323 and for multiple-theory interventions was 0.214. Effect sizes for individual theories and models ranged from 0.041 to 0.447. The largest effect sizes were for interventions based on the health belief model (0.477) and adult learning theory (0.443). The smallest effect sizes were for interventions based on PRECEDE (0.041) and self-regulation (0.118).

conclusionThese findings suggest that theory- and model-linked interventions have a significant but modest effect on medication adherence outcomes.

Indexed as

Drug MonitoringModels, PsychologicalClinical Trials as TopicHumansMedication Adherence

Identifiers

PMID26931748
PMCPMC4879970

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.