Trial reportAnnals of behavioral medicine : a publication of the Society of Behavioral Medicine2023
Optimization of an Information Leaflet to Influence Medication Beliefs in Women With Breast Cancer: A Randomized Factorial Experiment.
Trial report in Annals of behavioral medicine : a publication of the Society of Behavioral Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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.
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Who cites it
7 citing papers in PubMed.
- Assessing multidimensional fidelity in a pilot optimization trial: A process evaluation of four intervention components supporting medication adherence in women with breast cancer.Translational behavioral medicine · 2025Trial
- Supporting endocrine therapy adherence in women with breast cancer: findings from the ROSETA pilot fractional factorial randomized trial.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025Trial
- Categorizing health beliefs among cancer survivors using latent profile analysis to identify targets for promoting medication adherence and quality of life.Scientific reports · 2026Article
- Article
- Evidence-Based Design of Prescription Medication Information: An Updated Scoping Review.Drug safety · 2025Article
- Decision-making in the multiphase optimization strategy: Applying decision analysis for intervention value efficiency to optimize an information leaflet to promote key antecedents of medication adherence.Translational behavioral medicine · 2024Article
- Dataset for a randomised factorial experiment to optimise an information leaflet for women with breast cancer.NIHR open research · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundAdherence to adjuvant endocrine therapy (AET) is low in women with breast cancer. Negative beliefs about the necessity of AET and high concerns are barriers to adherence. PURPOSE: To use the multiphase optimization strategy to optimize the content of an information leaflet intervention, to change AET beliefs.
methodsWe conducted an online screening experiment using a 25 factorial design to optimize the leaflet. The leaflet had five components, each with two levels: (i) diagrams about AET mechanisms (on/off); (ii) infographics displaying AET benefits (enhanced/basic); (iii) AET side effects (enhanced/basic); (iv) answers to AET concerns (on/off); (v) breast cancer survivor (patient) input: quotes and photographs (on/off). Healthy adult women (n = 1,604), recruited via a market research company, were randomized to 1 of 32 experimental conditions, which determined the levels of components received. Participants completed the Beliefs about Medicines Questionnaire before and after viewing the leaflet.
resultsThere was a significant main effect of patient input on beliefs about medication (β = 0.063, p < .001). There was one significant synergistic two-way interaction between diagrams and benefits (β = 0.047, p = .006), and one antagonistic two-way interaction between diagrams and side effects (β = -0.029, p = .093). There was a synergistic three-way interaction between diagrams, concerns, and patient input (β = 0.029, p = .085), and an antagonistic four-way interaction between diagrams, benefits, side effects, and concerns (β = -0.038, p = .024). In a stepped approach, we screened in four components and screened out the side effects component.
conclusionsThe optimized leaflet did not contain enhanced AET side effect information. Factorial experiments are efficient and effective for refining the content of information leaflet interventions.
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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 Socratic graph.