Designing a decision aid for cancer prevention: a qualitative study.

ABSTRACT

OBJECTIVES: Australian guidelines recommend people aged 50-70 years old consider taking low-dose aspirin to reduce their risk of colorectal cancer. The aim was to design sex-specific decision aids (DAs) with clinician and consumer input, including expected frequency trees (EFTs) to communicate the risks and benefits of taking aspirin. METHODS: Semi-structured interviews were conducted with clinicians. Focus groups were conducted with consumers. The interview schedules covered ease of comprehension, design, potential effects on decision-making, and approaches to implementation of the DAs. Thematic analysis was employed; independent coding by 2 researchers was inductive. Themes were developed through consensus between authors. RESULTS: Sixty-four clinicians were interviewed over 6 months in 2019. Twelve consumers aged 50-70 years participated in two focus groups in February and March 2020. The clinicians agreed that the EFTs would be helpful to facilitate a discussion with patients but suggested including an additional estimate of the effects of aspirin on all-cause mortality. The consumers felt favourable about the DAs and suggested changes to the design and wording to ease comprehension. CONCLUSION: DAs were designed to communicate the risks and benefits of low-dose aspirin for disease prevention. The DAs are currently being trialled in general practice to determine their impact on informed decision-making and aspirin uptake.

Aspirin can help to prevent bowel cancer up by to 25% and the chances of dying from it by up to 33%. Australian guidelines recommend that people aged 50­70 years old to consider taking low-dose aspirin to reduce their risk of bowel cancer. To encourage GPs and their patients to discuss the guidelines, we designed a brochure called a decision aid with the help of clinicians and people in the community of Victoria, Australia. The decision aid covered the benefits and risks of taking aspirin. Clinicians participated in interviews and provided feedback on the statistics presented in a chart called an expected frequency tree. People in the community participated in group discussions and improved the design and comprehension of the decision aid. The clinicians and people who participated in this study do not fully represent the diversity of the Australian population, as they were mostly white and highly educated. We are now testing if the decision aid is effective for supporting a discussion between patients and general practitioners, helping their patients make an informed decision about taking aspirin, and whether it encourages them to take aspirin daily after being shown the decision aid in general practice.