Research Data Leeds Repository

Citation

Lloyd, Kelly E. (2022) Qualitative study exploring the barriers and facilitators to using and recommending aspirin for cancer prevention - qualitative interview data. University of Leeds. [Dataset] https://doi.org/10.5518/1097

Dataset description

This dataset comprises a subset of the interviews described below: 12 Lynch syndrome interviews, and 8 GP interviews.

Background: The National Institute for Health and Care Excellence (NG151) recommends considering daily aspirin for people with Lynch syndrome to reduce colorectal cancer risk. However, patients and their healthcare providers considering preventive therapy need to negotiate complex decisions that weigh up potential benefits and harms.

Method: We conducted semi-structured interviews to explore the barriers and facilitators to using aspirin for preventive therapy. We recruited 15 people with Lynch syndrome, and 23 healthcare providers across multiple professions in primary and specialist care in the United Kingdom. Interview schedules were informed by the Theoretical Domains Framework.

Additional information:	This dataset is held in the Restricted Access Data Repository, RADAR. To request access, please click the link under ‘Related resources’. You will be prompted to complete a request form including your intended use of the dataset. You will then receive an initial response to your request within 10 working days.
Divisions:	Faculty of Medicine and Health > School of Medicine > Leeds Institute of Health Sciences (LIHS)
Related resources:	Location Type https://doi.org/10.17605/OSF.IO/KDQ48 Dataset https://doi.org/10.17605/OSF.IO/3EFG7 Workflow https://radar.researchdata.leeds.ac.uk/25/ Dataset https://etheses.whiterose.ac.uk/32715/ Ethesis
Date deposited:	02 Feb 2022 14:14
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/923
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Lloyd, Kelly E. https://orcid.org/0000-0002-0420-2342 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: ESRC Publication date: 2022 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: umkel@leeds.ac.uk Last Modified: 26 Nov 2024 09:18

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Demographic tables for RADAR transcripts [13kB] Demographic tables for RADAR transcripts [13kB] Demographic tables for RADAR transcripts [13kB] Security: Anyone File name: Demographic_tables_for_RADAR_transcripts.docx Content type: Documentation Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 13kB

Interview_schedule_v4.0_HCP_AspirinQual.docx [30kB] Interview_schedule_v4.0_HCP_AspirinQual.docx [30kB] Interview_schedule_v4.0_HCP_AspirinQual.docx [30kB] Security: Anyone File name: Interview_schedule_v4.0_HCP_AspirinQual.docx Content type: Documentation Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 30kB

Interview_schedule_v4.0_LS_AspirinQual.docx [28kB] Interview_schedule_v4.0_LS_AspirinQual.docx [28kB] Interview_schedule_v4.0_LS_AspirinQual.docx [28kB] Security: Anyone File name: Interview_schedule_v4.0_LS_AspirinQual.docx Content type: Documentation Mime-Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 28kB

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