Human Behaviour-Change Project

West, Robert; Michie, Susan; Shawe‐Taylor, John; Thomas, J. Alan; Finnerty, Ailbhe N.; Johnston, Marie; Aonghusa, Pól Mac; O’Mara-Eves, Alison; Stokes, Gillian; Norris, Emma

doi:10.17605/osf.io/efp4x

Cited by 3 publications

(18 citation statements)

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“…Suggestions to split 19 BCTs into different parts were agreed, for example, the BCT ‘Goal setting (behaviour)’ was split into ‘Set behaviour goal BCT’ and ‘Agree behaviour goal BCT’ ( https://osf.io/j5wgb ) ( West et al , 2020 ).…”

Section: Resultsmentioning

confidence: 99%

“…26 BCTs were moved to a group that better reflected the active content described ( https://osf.io/j5wgb ) ( West et al , 2020 ).…”

Section: Resultsmentioning

confidence: 99%

“…Prospective participants were sent an invitation and study information sheet. Those willing to participate in the study were sent a link to an online questionnaire ( https://osf.io/2gs9b ) ( West et al , 2020 ), along with the BCTO displayed in both spreadsheet and diagram forms. Experts were asked to review all groups of BCTs and individual BCTs taking an estimated 2.5 hours and were paid an honorarium for doing this.…”

Section: Methodsmentioning

confidence: 99%

“…This number was selected as it gives a 10-15% margin of error around the estimated percentage agreement between coders ( Gwet, 2014 ; Wright et al , 2020 ). Annotations followed an annotation guidance manual ( https://osf.io/mwv2c ) ( West et al , 2020 ). From this set of annotations, any necessary changes to the manual and labels or definitions of the BCTs were made.…”

Section: Methodsmentioning

confidence: 99%

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The Behaviour Change Technique Ontology: Transforming the Behaviour Change Technique Taxonomy v1

Marques¹,

Wright²,

Corker³

et al. 2023

Wellcome Open Res

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Background: The Behaviour Change Technique Taxonomy v1 (BCTTv1) specifies the potentially active content of behaviour change interventions. Evaluation of BCTTv1 showed the need to extend it into a formal ontology, improve its labels and definitions, add BCTs and subdivide existing BCTs. We aimed to develop a Behaviour Change Technique Ontology (BCTO) that would meet these needs. Methods: The BCTO was developed by: (1) collating and synthesising feedback from multiple sources; (2) extracting information from published studies and classification systems; (3) multiple iterations of reviewing and refining entities, and their labels, definitions and relationships; (4) refining the ontology via expert stakeholder review of its comprehensiveness and clarity; (5) testing whether researchers could reliably apply the ontology to identify BCTs in intervention reports; and (6) making it available online and creating a machine-readable version. Results: Initially there were 282 proposed changes to BCTTv1. Following first-round review, 19 BCTs were split into two or more BCTs, 27 new BCTs were added and 26 BCTs were moved into a different group, giving 161 BCTs hierarchically organised into 12 logically defined higher-level groups in up to five hierarchical levels. Following expert stakeholder review, the refined ontology had 247 BCTs hierarchically organised into 20 higher-level groups. Independent annotations of intervention evaluation reports by researchers familiar and unfamiliar with the ontology resulted in good levels of inter-rater reliability (0.82 and 0.79, respectively). Following revision informed by this exercise, 34 BCTs were added, resulting in a final version of the BCTO containing 281 BCTs organised into 20 higher-level groups over five hierarchical levels. Discussion: The BCT Ontology provides a standard terminology and comprehensive classification system for the content of behaviour change interventions that can be reliably used to describe interventions.

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Section: Resultsmentioning

confidence: 99%

“…26 BCTs were moved to a group that better reflected the active content described ( https://osf.io/j5wgb ) ( West et al , 2020 ).…”

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

The Behaviour Change Technique Ontology: Transforming the Behaviour Change Technique Taxonomy v1

Marques¹,

Wright²,

Corker³

et al. 2023

Wellcome Open Res

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“…Example technologies evaluated using NASSS include electronic decision support in cardiovascular treatment (Abimbola et al, 2019) and internet-delivered CBT for insomnia (Kadesjö Banck & Bernhardsson, 2020). Our application of the NASSS framework to HBCP in this commentary is based on the available published evidence on the HBCP via papers, information on the project's Open Science Framework pages (West et al, 2016) and the project' website 1 .…”

mentioning

confidence: 99%

Applying the Non-adoption, Abandonment, Scale-up, Spread and Sustainability (NASSS) Framework to evaluate automated evidence synthesis in health behaviour change

Branney¹,

Marques²,

Norris³

2022

Preprint

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Automated tools to speed up the process of evidence synthesis are increasingly apparent within health behaviour research, however, frameworks to evaluate the development and implementation of such tools are not routinely used. This commentary explores the potential of the Non-adoption, Abandonment, Scale-up, Spread and Sustainability framework (NASSS; Greenhalgh et al., 2017) for supporting automated evidence synthesis in health behaviour change by applying it to the ongoing Human Behaviour-Change Project, which aims to revolutionise evidence synthesis within behaviour change intervention research. To increase the relevance of NASSS for health behaviour change, we recommend i) terminology changes (‘condition’ to ‘behaviour’ and ‘patient’ to ‘end user’) and ii) a that it is used prospectively so that complexities can be addressed iteratively. We draw three conclusions about i) the need to specify the organisations that will use the technology, ii) identifying what to do if interdependencies fail and iii) even though we have focused on automated evidence synthesis, NASSS would arguably be beneficial for technology developments in health behaviour change more generally, particularly for invention development (e.g. for a behaviour change app).

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A data extraction template for the behaviour change intervention ontology

Norris,

Zhang,

Wuerstl

et al. 2024

Wellcome Open Res

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Background The Behaviour Change Intervention Ontology (BCIO) aims to improve the clarity, completeness and consistency of reporting within intervention descriptions and evidence synthesis. However, a recommended method for transparently annotating intervention evaluation reports using the BCIO does not currently exist. This study aimed to develop a data extraction template for annotating using the BCIO. Methods The BCIO data extraction template was developed in four stages: i) scoping review of papers citing component ontologies within the BCIO, ii) development of a draft template, iii) piloting and revising the template, and iv) dissemination and maintenance of the template. Results A prototype data extraction template using Microsoft Excel was developed based on BCIO annotations from 14 papers. The ‘BCIO data extraction template v1’ was produced following piloting and revision, incorporating a facility for user feedback. Discussion This data extraction template provides a single, accessible resource to extract all necessary characteristics of behaviour change intervention scenarios. It can be used to annotate the presence of BCIO entities for evidence synthesis, including systematic reviews. In the future, we will update this template based on feedback from the community, additions of newly published ontologies within the BCIO, and revisions to existing ontologies.

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Human Behaviour-Change Project

Cited by 3 publications

References 0 publications

The Behaviour Change Technique Ontology: Transforming the Behaviour Change Technique Taxonomy v1

The Behaviour Change Technique Ontology: Transforming the Behaviour Change Technique Taxonomy v1

Applying the Non-adoption, Abandonment, Scale-up, Spread and Sustainability (NASSS) Framework to evaluate automated evidence synthesis in health behaviour change

A data extraction template for the behaviour change intervention ontology

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