Applying the Capability, Opportunity, and Motivation Behaviour Model (COM-B) to Guide the Development of Interventions to Improve Early Detection of Atrial Fibrillation
Objective: The 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. Methods: We undertook a review of the literature...
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doaj-c622c3a8dd604d3890ac5bf07410668d2020-11-25T03:31:09ZengSAGE PublishingClinical Medicine Insights: Cardiology1179-54682019-10-011310.1177/1179546819885134Applying the Capability, Opportunity, and Motivation Behaviour Model (COM-B) to Guide the Development of Interventions to Improve Early Detection of Atrial FibrillationAbubakar Ibrahim Jatau0Gregory M Peterson1Luke Bereznicki2Corinna Dwan3J Andrew Black4Woldesellassie M Bezabhe5Barbara C Wimmer6Pharmacy, School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, AustraliaPharmacy, School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, AustraliaPharmacy, School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, AustraliaPharmacy, School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, AustraliaCardiology department, Royal Hobart Hospital, Hobart, TAS, AustraliaPharmacy, School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, AustraliaPharmacy, School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, AustraliaObjective: The 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. Methods: We 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. Results: A 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. Conclusion: The 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.https://doi.org/10.1177/1179546819885134 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Abubakar Ibrahim Jatau Gregory M Peterson Luke Bereznicki Corinna Dwan J Andrew Black Woldesellassie M Bezabhe Barbara C Wimmer |
spellingShingle |
Abubakar Ibrahim Jatau Gregory M Peterson Luke Bereznicki Corinna Dwan J Andrew Black Woldesellassie M Bezabhe Barbara C Wimmer Applying the Capability, Opportunity, and Motivation Behaviour Model (COM-B) to Guide the Development of Interventions to Improve Early Detection of Atrial Fibrillation Clinical Medicine Insights: Cardiology |
author_facet |
Abubakar Ibrahim Jatau Gregory M Peterson Luke Bereznicki Corinna Dwan J Andrew Black Woldesellassie M Bezabhe Barbara C Wimmer |
author_sort |
Abubakar Ibrahim Jatau |
title |
Applying the Capability, Opportunity, and Motivation Behaviour Model (COM-B) to Guide the Development of Interventions to Improve Early Detection of Atrial Fibrillation |
title_short |
Applying the Capability, Opportunity, and Motivation Behaviour Model (COM-B) to Guide the Development of Interventions to Improve Early Detection of Atrial Fibrillation |
title_full |
Applying the Capability, Opportunity, and Motivation Behaviour Model (COM-B) to Guide the Development of Interventions to Improve Early Detection of Atrial Fibrillation |
title_fullStr |
Applying the Capability, Opportunity, and Motivation Behaviour Model (COM-B) to Guide the Development of Interventions to Improve Early Detection of Atrial Fibrillation |
title_full_unstemmed |
Applying the Capability, Opportunity, and Motivation Behaviour Model (COM-B) to Guide the Development of Interventions to Improve Early Detection of Atrial Fibrillation |
title_sort |
applying the capability, opportunity, and motivation behaviour model (com-b) to guide the development of interventions to improve early detection of atrial fibrillation |
publisher |
SAGE Publishing |
series |
Clinical Medicine Insights: Cardiology |
issn |
1179-5468 |
publishDate |
2019-10-01 |
description |
Objective: The 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. Methods: We 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. Results: A 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. Conclusion: The 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. |
url |
https://doi.org/10.1177/1179546819885134 |
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