Using the behaviour change wheel approach to optimize self‐sampling packs for sexually transmitted infection and blood borne viruses

Paul Flowers*, Gabriele Vojt, Maria Pothoulaki, Fiona Mapp, Melvina Woode Owusu, Jackie A. Cassell, Claudia Estcourt, John Saunders

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

1 Citation (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)1382-1397
Number of pages16
JournalBritish Journal of Health Psychology
Volume27
Issue number4
Early online date29 Jun 2022
DOIs
Publication statusPublished - Nov 2022

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