Evidence map›Paper›PMID 36305519›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2022

What are the views of three key stakeholder groups on extending the breast screening interval for low-risk women? A secondary qualitative analysis.

Grace Taylor, Lorna McWilliams, Victoria G Woof, D Gareth Evans, David P French

Open access · goldAbstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 27% 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, 7 citations in OpenAlex.

  1. Public and Healthcare Professional Attitudes Towards Risk-Stratified Bowel Screening: A Qualitative Study Using an Info-Comic Book.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  2. Article
  3. Article
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  5. What are the views of three key stakeholder groups on extending the breast screening interval for low-risk women? A secondary qualitative analysis.Health expectations : an international journal of public participation in health care and health policy · 2022
    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

5 authors at 1 institution in 1 country.

Grace TaylorSchool of Health Sciences, Manchester Centre of Health Psychology, Division of Psychology and Mental Health, University of Manchester, Manchester, UK.
Lorna McWilliamsSchool of Health Sciences, Manchester Centre of Health Psychology, Division of Psychology and Mental Health, University of Manchester, Manchester, UK.
Victoria G WoofSchool of Health Sciences, Manchester Centre of Health Psychology, Division of Psychology and Mental Health, University of Manchester, Manchester, UK.
D Gareth EvansNIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester, UK.
David P FrenchSchool of Health Sciences, Manchester Centre of Health Psychology, Division of Psychology and Mental Health, University of Manchester, Manchester, UK.ORCID 0000-0002-7663-7804
Manchester Academic Health Science Centre · GB

Funding

Breast Cancer Now 2018RP005Department of Health IS-BRC-1215-200007Department of Health RP-PG-1214-20016
6 · The paper itself

Abstract

introductionThere is increasing interest in risk-stratified breast screening, whereby the prevention and early detection offers vary by a woman's estimated risk of breast cancer. To date, more focus has been directed towards high-risk screening pathways rather than considering women at lower risk, who may be eligible for extended screening intervals. This secondary data analysis aimed to compare the views of three key stakeholder groups on how extending screening intervals for low-risk women should be implemented and communicated as part of a national breast screening programme.

methodsSecondary data analysis of three qualitative studies exploring the views of distinct stakeholder groups was conducted. Interviews took place with 23 low-risk women (identified from the BC-Predict study) and 17 national screening figures, who were involved in policy-making and implementation. In addition, three focus groups and two interviews were conducted with 26 healthcare professionals. A multiperspective thematic analysis was conducted to identify similarities and differences between stakeholders.

findingsThree themes were produced: Questionable assumptions about negative consequences, highlighting how other stakeholders lack trust in how women are likely to understand extended screening intervals; Preserving the integrity of the programme, centring on decision-making and maintaining a positive reputation of breast screening and Negotiating a communication pathway highlighting communication expectations and public campaign importance.

conclusionsA risk-stratified screening programme should consider how best to engage women assessed as having a low risk of breast cancer to ensure mutual trust, balance the practicality of change whilst ensuring acceptability, and carefully develop multilevel inclusive communication strategies. PATIENT AND PUBLIC CONTRIBUTION: The research within this paper involved patient/public contributors throughout including study design and materials input.

Indexed as

Breast NeoplasmsMass ScreeningFemaleFocus GroupsHealth PersonnelHumansQualitative Researchbreast cancerinterviewqualitativerisk estimationscreeningscreening intervals

Identifiers

PMID36305519
PMCPMC9700144
OpenAlexW4307494943

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.