Evidence map›Paper›PMID 28421453›Full record

SynthesisAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2017

Psychological Determinants of Medication Adherence in Stroke Survivors: a Systematic Review of Observational Studies.

Elise Crayton, Marion Fahey, Mark Ashworth, Sarah Jane Besser, John Weinman, Alison J Wright

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  20. Posttraumatic stress and medication adherence in pediatric transplant recipients.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2022
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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

6 authors.

Elise CraytonDepartment of Primary Care and Public Health Sciences, Division of Health and Social Care Research, Faculty of Life Sciences & Medicine, King's College London, 6th Floor, Addison House, Guy's Campus, London, SE1 1UL, UK. elise.crayton@kcl.ac.uk.ORCID http://orcid.org/0000-0002-9266-1302
Marion FaheyDepartment of Primary Care and Public Health Sciences, Division of Health and Social Care Research, Faculty of Life Sciences & Medicine, King's College London, 6th Floor, Addison House, Guy's Campus, London, SE1 1UL, UK.
Mark AshworthDepartment of Primary Care and Public Health Sciences, Division of Health and Social Care Research, Faculty of Life Sciences & Medicine, King's College London, 6th Floor, Addison House, Guy's Campus, London, SE1 1UL, UK.
Sarah Jane BesserDepartment of Primary Care and Public Health Sciences, Division of Health and Social Care Research, Faculty of Life Sciences & Medicine, King's College London, 6th Floor, Addison House, Guy's Campus, London, SE1 1UL, UK.
John WeinmanKing's College London, Institute of Pharmaceutical Sciences, London, UK.
Alison J WrightDepartment of Primary Care and Public Health Sciences, Division of Health and Social Care Research, Faculty of Life Sciences & Medicine, King's College London, 6th Floor, Addison House, Guy's Campus, London, SE1 1UL, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedications targeting stroke risk factors have shown good efficacy, yet adherence is suboptimal. To improve adherence, its determinants must be understood. To date, no systematic review has mapped identified determinants into the Theoretical Domains Framework (TDF) in order to establish a more complete understanding of medication adherence. PURPOSE: The aim of this study was to identify psychological determinants that most influence stroke survivors' medication adherence.

methodsIn line with the prospectively registered protocol (PROSPERO CRD42015016222), five electronic databases were searched (1953-2015). Hand searches of included full text references were undertaken. Two reviewers conducted screening, data extraction and quality assessment. Determinants were mapped into the TDF.

resultsOf 32,825 articles, 12 fulfilled selection criteria (N = 43,984 stroke survivors). Tested determinants mapped into 8/14 TDF domains. Studies were too heterogeneous for meta-analysis. Three TDF domains appeared most influential. Negative emotions ('Emotions' domain) such as anxiety and concerns about medications ('Beliefs about Consequences' domain) were associated with reduced adherence. Increased adherence was associated with better knowledge of medications ('Knowledge' domain) and stronger beliefs about medication necessity ('Beliefs about Consequences' domain). Study quality varied, often lacking information on sample size calculations.

conclusionsThis review provides foundations for evidence-based intervention design by establishing psychological determinants most influential in stroke survivors' medication adherence. Six TDF domains do not appear to have been tested, possibly representing gaps in research design. Future research should standardise and clearly report determinant and medication adherence measurement to facilitate meta-analysis. The range of determinants explored should be broadened to enable more complete understanding of stroke survivors' medication adherence.

Indexed as

Observational Studies as TopicDrug MonitoringHumansMedication AdherenceStrokeSurvivorsMedication adherencePsychological determinantsStrokeSystematic review

Identifiers

PMID28421453
PMCPMC5636868

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.