Evidence map›Paper›PMID 31700252›Full record

ReviewClinical Medicine Insights. Cardiology2019

Applying the Capability, Opportunity, and Motivation Behaviour Model (COM-B) to Guide the Development of Interventions to Improve Early Detection of Atrial Fibrillation.

Abubakar Ibrahim Jatau, Gregory M Peterson, Luke Bereznicki, Corinna Dwan, J Andrew Black, Woldesellassie M Bezabhe, Barbara C Wimmer

Open access · goldAbstract readReview
In one paragraph

Review in Clinical Medicine Insights. Cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 12% of its field
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

16 citing papers in PubMed, 29 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Abubakar Ibrahim JatauPharmacy, School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia.ORCID https://orcid.org/0000-0001-9336-6877
Gregory M PetersonPharmacy, School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia.
Luke BereznickiPharmacy, School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia.
Corinna DwanPharmacy, School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia.
J Andrew BlackCardiology department, Royal Hobart Hospital, Hobart, TAS, Australia.
Woldesellassie M BezabhePharmacy, School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia.
Barbara C WimmerPharmacy, School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia.
University of Tasmania · AURoyal Hobart Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe primary objective of this study is to use the Capability, Opportunity, and Motivation Behaviour (COM-B) model to identify potential strategies aimed at improving the early detection of atrial fibrillation (AF) in the general population.

methodsWe undertook a review of the literature to identify factors associated with participation in community-based screening for AF, followed by mapping of the factors generated into the components of the COM-B model, and validation of the model by an expert panel. The Behaviour Change Wheel (BCW) was used to nominate potential intervention strategies and steps to guide the design and implementation of community-based screening for AF.

resultsA total of 28 factors from 21 studies were mapped into the COM-B model. Based on the BCW approach, 24 intervention strategies and 7 steps that could guide the design and implementation of community-based screening for AF were recommended.

conclusionThe application of the COM-B model demonstrated how factors influencing the participation of individuals with undiagnosed AF in community-based screening could be identified. The model could also serve as a guide for the design and implementation of interventions for improving AF detection in the general population.

Indexed as

Atrial fibrillationawarenessCOM-B modeldetectionintervention designscreeningstroke

Identifiers

PMID31700252
PMCPMC6823978
OpenAlexW2988655692

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.