Journal
BRITISH JOURNAL OF HEALTH PSYCHOLOGY
Volume 27, Issue 4, Pages 1382-1397Publisher
WILEY
DOI: 10.1111/bjhp.12607
Keywords
behaviour change taxonomy; behaviour change wheel; blood borne viruses; intervention optimisation; methodology; self-sampling; sexual health; sexually transmitted infections; theoretical domains framework
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Funding
- National Institute for Health Research (NIHR) under its Programme Grants for Applied Research Programme [RP--PG-0614--20009]
- National Institutes of Health Research (NIHR) [RP-PG-0614-20009] Funding Source: National Institutes of Health Research (NIHR)
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This paper describes the process of optimizing self-sampling packs for STIs and BBVs using the BCW approach, and suggests specific intervention functions and behavior change techniques for optimization based on a detailed behavioral analysis and the TDF framework.
Purpose This paper describes the process of optimizing a widely offered intervention-self-sampling packs for sexually transmitted infections (STIs) and blood borne viruses (BBVs). We drew upon the behaviour change wheel (BCW) approach, incorporating the theoretical domains framework (TDF) and the behaviour change technique taxonomy (BCTTv1) to systematically specify potential intervention components that may optimize the packs. Methods A BCW analysis built upon prior thematic analyses of qualitative data collected through focus groups and interviews with members of the public and people recruited from sexual health clinics in Glasgow and London (n = 56). Salient barriers and facilitators to specific sequential behavioural domains associated with the wider behavioural system of pack use were subjected to further analyses, coding them in relation to the TDF, the BCW's intervention functions, and finally specifying potential optimisation using behaviour change techniques (BCTs). Results Our TDF analysis suggested that across the overall behavioural system of pack use, the most important theoretical domains were 'beliefs about consequences' and 'memory, attention and decision-making'. BCW analysis on the overall pack suggested useful intervention functions should focus on 'environmental restructuring', 'persuasion', 'enablement', 'education' and 'modelling'. Specific ways of optimizing the intervention were also described in relation to potentially useful BCTs. Conclusions Through a detailed behavioural analysis and the TDF and wider BCW approach built on earlier qualitative work, we provide a systematic approach to optimizing an existing intervention. The approach enabled the specification of highly specific, evidence-based, and theoretically informed recommendations for intervention optimization.
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