Evidence map›Paper›PMID 25994095›Full record

SynthesisJournal of behavioral medicine2015

Theory of planned behavior and adherence in chronic illness: a meta-analysis.

Antonia Rich, Kim Brandes, Barbara Mullan, Martin S Hagger

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of behavioral medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 4 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

77 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Predicting physical activity among cancer survivors: Meta-analytic path modeling of longitudinal studies.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2020
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  7. Effectiveness of a decision aid for patients with depression: A randomized controlled trial.Health expectations : an international journal of public participation in health care and health policy · 2017
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17 more citing papers are in PubMed but not listed here.

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.

Antonia RichAtlantis Healthcare, Unit 7, 112-118 Talavera Road, North Ryde, NSW, 2113, Australia, antonia.rich@atlantishealthcare.com.
Kim Brandes
Barbara Mullan
Martin S Hagger

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social-cognitive models such as the theory of planned behavior have demonstrated efficacy in predicting behavior, but few studies have examined the theory as a predictor of treatment adherence in chronic illness. We tested the efficacy of the theory for predicting adherence to treatment in chronic illness across multiple studies. A database search identified 27 studies, meeting inclusion criteria. Averaged intercorrelations among theory variables were computed corrected for sampling error using random-effects meta-analysis. Path-analysis using the meta-analytically derived correlations was used to test theory hypotheses and effects of moderators. The theory explained 33 and 9 % of the variance in intention and adherence behavior respectively. Theoretically consistent patterns of effects among the attitude, subjective norm, perceived behavioral control, intention and behavior constructs were found with small-to-medium effect sizes. Effect sizes were invariant across behavior and measurement type. Although results support theory predictions, effect sizes were small, particularly for the intention-behavior relationship.

Indexed as

AttitudePsychological TheoryChronic DiseaseHumansIntentionPatient Compliance

Identifiers

PMID25994095

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.