Evidence map›Paper›PMID 35765821›Full record

ArticleBritish journal of health psychology2022

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

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in British journal of health psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Paul FlowersSchool of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.ORCID 0000-0001-6239-5616
Gabriele VojtDepartment of Psychology, Glasgow Caledonian University, Glasgow, UK.ORCID 0000-0002-9135-0684
Maria PothoulakiDepartment of Psychology, Glasgow Caledonian University, Glasgow, UK.
Fiona MappInstitute for Global Health, University College London, London, UK.ORCID 0000-0003-0733-6036
Melvina Woode OwusuInstitute for Global Health, University College London, London, UK.ORCID 0000-0003-2102-3802
Jackie A CassellDepartment of Primary Care and Public Health, University of Brighton, Brighton, UK.ORCID 0000-0003-0777-0385
Claudia EstcourtDepartment of Psychology, Glasgow Caledonian University, Glasgow, UK.ORCID 0000-0001-5523-5630
John SaundersInstitute for Global Health, University College London, London, UK.ORCID 0000-0003-3020-9916
Glasgow Caledonian University · GBUniversity College London · GBUniversity of Brighton · GBUniversity of Strathclyde · GB

Funding

Department of Health
6 · The paper itself

Abstract

purposeThis 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.

methodsA 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).

resultsOur 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.

conclusionsThrough 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.

Indexed as

Sexually Transmitted DiseasesVirusesBehavior TherapyFocus GroupsHumansLondonSexual Healthbehaviour change taxonomybehaviour change wheelblood borne virusesintervention optimisationmethodologyself-samplingsexual healthsexually transmitted infectionstheoretical domains framework

Identifiers

PMID35765821
PMCPMC9796629
OpenAlexW4283694356

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.