Research Data Leeds Repository

Data associated with 'Optimization of an information leaflet to influence medication beliefs in women with breast cancer: a randomized factorial experiment'

Citation

Green, Sophie M. C. and Hall, Louise H. and French, David P. and Rousseau, Nikki and Parbutt, Catherine and Walwyn, Rebecca and Smith, Samuel G. (2023) Data associated with 'Optimization of an information leaflet to influence medication beliefs in women with breast cancer: a randomized factorial experiment'. University of Leeds. [Dataset] https://doi.org/10.5518/1302

This item is part of the Optimization of an information leaflet to support medication adherence in breast cancer collection.

Dataset description

Most women with breast cancer are prescribed adjuvant endocrine therapy (AET) to prevent recurrence and mortality, but adherence is suboptimal. Negative beliefs about the necessity of AET and high concerns are barriers to adherence. We aimed to optimize the content of an information leaflet intervention, to support AET beliefs. We conducted an online screening experiment using a 2^5 factorial design to optimize the leaflet. The leaflet had five components, each with two levels; 1) diagrams about AET mechanisms (on/off); 2) infographics displaying AET benefits (enhanced/basic); 3) AET side-effects (enhanced/basic); 4) answers to AET concerns (on/off); 5) breast cancer survivor (patient) input: quotes and photographs (on/off). Healthy adult women (n=1604), recruited via a market research company, were randomized to one of 32 experimental conditions, which determined the levels of components received. Participants completed the beliefs about medicines questionnaire before and after viewing the leaflet. Note: This dataset only contains data for the primary outcome (beliefs about AET). A dataset containing secondary outcome data will be shared in due course.

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.

Keywords:

breast cancer, medication beliefs, optimization, factorial, information leaflet

Subjects:

A000 - Medicine & dentistry

Divisions:

Faculty of Medicine and Health > School of Medicine > Leeds Institute of Clinical Trials Research (LICTR)
Faculty of Medicine and Health > School of Medicine > Leeds Institute of Health Sciences (LIHS)

Related resources:

Location	Type
https://eprints.whiterose.ac.uk/201118/	Publication
https://doi.org/10.1093/abm/kaad037	Publication
https://radar.researchdata.leeds.ac.uk/40/	Dataset
https://etheses.whiterose.ac.uk/34582/	Ethesis

Date deposited:

11 Jul 2023 11:22

URI:

https://archive.researchdata.leeds.ac.uk/id/eprint/1130

Additional details

Creators or authors:

Creators	ORCID	Primary affiliation	Primary affiliation ID	Primary affiliation ID type
Green, Sophie M. C.	https://orcid.org/0000-0002-2622-5377	University of Leeds	https://ror.org/024mrxd33	ror
Hall, Louise H.	https://orcid.org/0000-0001-9032-4540	University of Leeds	https://ror.org/024mrxd33	ror
French, David P.	https://orcid.org/0000-0002-7663-7804	University of Manchester	https://ror.org/027m9bs27	ror
Rousseau, Nikki	https://orcid.org/0000-0001-8826-3515	University of Leeds	https://ror.org/024mrxd33	ror
Parbutt, Catherine	https://orcid.org/0009-0008-4047-0345	Leeds Teaching Hospitals NHS Trust	https://ror.org/00v4dac24	ror
Walwyn, Rebecca	https://orcid.org/0000-0001-9120-1438	University of Leeds	https://ror.org/024mrxd33	ror
Smith, Samuel G.	https://orcid.org/0000-0003-1983-4470	University of Leeds	https://ror.org/024mrxd33	ror