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Illness risk representations underlying women’s breast cancer risk appraisals: a theory-informed qualitative analysis - Framework matrices

dataset
posted on 2025-04-17, 13:45 authored by Victoria WoofVictoria Woof

The data provided here is in relation to the following study which is to be submitted for peer review in July: Illness risk representations underlying women’s breast cancer risk appraisals: a theory-informed qualitative analysis.

This study used secondary interview data to assess the utility of Cameron's Illness Risk Representation model for understanding women's breast cancer risk appraisals following the notification of a clinically-derived risk estimate. The data provided here details the matrices from the thematic framework analysis. Anonymised illustrative quotes are provided, together with the authors coding and description.


Due to the sensitivity of the topic, interview transcripts are not available here but can be requested from the lead author under a data sharing agreement.

Funding

DTP Bid Led by The University of Manchester

Medical Research Council

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NIHR Manchester BRC

National Institute for Health Research

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NIHR Manchester Biomedical Research Centre - NIHR203308

Genesis Breast Cancer Prevention - GA15-003

How feasible and acceptable is it to recommend to women at low risk of breast cancer that they delay further screening?

Breast Cancer Now

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Providing breast cancer risk information as part of national breast cancer screening programme: building an evidence base on benefits and harms to inform a decision to implement.

National Institute for Health Research

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History

Research ethics approval number

18/NW/0856

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