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An ontology-based modelling system (OBMS) for representing behaviour change theories applied to 76 theories

dc.contributor.authorHale, Joanna
dc.contributor.authorWest, Robert
dc.contributor.authorMichie, Susan
dc.contributor.authorHastings, Janna
dc.contributor.authorLefevre, Carmen E.
dc.contributor.authorDireito, Artur
dc.contributor.authorBohlen, Lauren Connell
dc.contributor.authorGodinho, Cristina
dc.contributor.authorAnderson, Niall
dc.contributor.authorZink, Silje
dc.contributor.authorGroarke, Hilary
dc.date.accessioned2021-03-19T15:48:30Z
dc.date.available2021-03-19T15:48:30Z
dc.date.issued2020
dc.description.abstractBackground: To efficiently search, compare, test and integrate behaviour change theories, they need to be specified in a way that is clear, consistent and computable. An ontology-based modelling system (OBMS) has previously been shown to be able to represent five commonly used theories in this way. We aimed to assess whether the OBMS could be applied more widely and to create a database of behaviour change theories, their constructs and propositions. Methods: We labelled the constructs within 71 theories and used the OBMS to represent the relationships between the constructs. Diagrams of each theory were sent to authors or experts for feedback and amendment. The 71 finalised diagrams plus the five previously generated diagrams were used to create a searchable database of 76 theories in the form of construct-relationship-construct triples. We conducted a set of illustrative analyses to characterise theories in the database. Results: All 71 theories could be satisfactorily represented using this system. In total, 35 (49%) were finalised with no or very minor amendment. The remaining 36 (51%) were finalised after changes to the constructs (seven theories), relationships between constructs (15 theories) or both (14 theories) following author/expert feedback. The mean number of constructs per theory was 20 (min. = 6, max. = 72), with the mean number of triples per theory 31 (min. = 7, max. = 89). Fourteen distinct relationship types were used, of which the most commonly used was 'influences', followed by 'part of'. Conclusions: The OBMS can represent a wide array of behavioural theories in a precise, computable format. This system should provide a basis for better integration and synthesis of theories than has hitherto been possible.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.12688/wellcomeopenres.16121.1
dc.identifier.eid85096447524
dc.identifier.issn2398-502X
dc.identifier.pmcPMC7653641
dc.identifier.pmid33215048
dc.identifier.urihttp://hdl.handle.net/10400.14/32294
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectBehaviourpt_PT
dc.subjectBehaviour changept_PT
dc.subjectModellingpt_PT
dc.subjectOntologypt_PT
dc.subjectTheoretical synthesispt_PT
dc.subjectTheorypt_PT
dc.titleAn ontology-based modelling system (OBMS) for representing behaviour change theories applied to 76 theoriespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleWellcome Open Researchpt_PT
oaire.citation.volume5pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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