Cargando…

Optimization of an Information Leaflet to Influence Medication Beliefs in Women With Breast Cancer: A Randomized Factorial Experiment

BACKGROUND: Adherence 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,...

Descripción completa

Detalles Bibliográficos
Autores principales: Green, Sophie M C, Hall, Louise H, French, David P, Rousseau, Nikki, Parbutt, Catherine, Walwyn, Rebecca, Smith, Samuel G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578395/
https://www.ncbi.nlm.nih.gov/pubmed/37494669
http://dx.doi.org/10.1093/abm/kaad037
_version_ 1785121510371885056
author Green, Sophie M C
Hall, Louise H
French, David P
Rousseau, Nikki
Parbutt, Catherine
Walwyn, Rebecca
Smith, Samuel G
author_facet Green, Sophie M C
Hall, Louise H
French, David P
Rousseau, Nikki
Parbutt, Catherine
Walwyn, Rebecca
Smith, Samuel G
author_sort Green, Sophie M C
collection PubMed
description BACKGROUND: Adherence 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. METHODS: 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: (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. RESULTS: There 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. CONCLUSIONS: The optimized leaflet did not contain enhanced AET side effect information. Factorial experiments are efficient and effective for refining the content of information leaflet interventions.
format Online
Article
Text
id pubmed-10578395
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-105783952023-10-17 Optimization of an Information Leaflet to Influence Medication Beliefs in Women With Breast Cancer: A Randomized Factorial Experiment Green, Sophie M C Hall, Louise H French, David P Rousseau, Nikki Parbutt, Catherine Walwyn, Rebecca Smith, Samuel G Ann Behav Med Regular Articles BACKGROUND: Adherence 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. METHODS: 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: (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. RESULTS: There 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. CONCLUSIONS: The optimized leaflet did not contain enhanced AET side effect information. Factorial experiments are efficient and effective for refining the content of information leaflet interventions. Oxford University Press 2023-07-26 /pmc/articles/PMC10578395/ /pubmed/37494669 http://dx.doi.org/10.1093/abm/kaad037 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Society of Behavioral Medicine. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Regular Articles
Green, Sophie M C
Hall, Louise H
French, David P
Rousseau, Nikki
Parbutt, Catherine
Walwyn, Rebecca
Smith, Samuel G
Optimization of an Information Leaflet to Influence Medication Beliefs in Women With Breast Cancer: A Randomized Factorial Experiment
title Optimization of an Information Leaflet to Influence Medication Beliefs in Women With Breast Cancer: A Randomized Factorial Experiment
title_full Optimization of an Information Leaflet to Influence Medication Beliefs in Women With Breast Cancer: A Randomized Factorial Experiment
title_fullStr Optimization of an Information Leaflet to Influence Medication Beliefs in Women With Breast Cancer: A Randomized Factorial Experiment
title_full_unstemmed Optimization of an Information Leaflet to Influence Medication Beliefs in Women With Breast Cancer: A Randomized Factorial Experiment
title_short Optimization of an Information Leaflet to Influence Medication Beliefs in Women With Breast Cancer: A Randomized Factorial Experiment
title_sort optimization of an information leaflet to influence medication beliefs in women with breast cancer: a randomized factorial experiment
topic Regular Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578395/
https://www.ncbi.nlm.nih.gov/pubmed/37494669
http://dx.doi.org/10.1093/abm/kaad037
work_keys_str_mv AT greensophiemc optimizationofaninformationleaflettoinfluencemedicationbeliefsinwomenwithbreastcancerarandomizedfactorialexperiment
AT halllouiseh optimizationofaninformationleaflettoinfluencemedicationbeliefsinwomenwithbreastcancerarandomizedfactorialexperiment
AT frenchdavidp optimizationofaninformationleaflettoinfluencemedicationbeliefsinwomenwithbreastcancerarandomizedfactorialexperiment
AT rousseaunikki optimizationofaninformationleaflettoinfluencemedicationbeliefsinwomenwithbreastcancerarandomizedfactorialexperiment
AT parbuttcatherine optimizationofaninformationleaflettoinfluencemedicationbeliefsinwomenwithbreastcancerarandomizedfactorialexperiment
AT walwynrebecca optimizationofaninformationleaflettoinfluencemedicationbeliefsinwomenwithbreastcancerarandomizedfactorialexperiment
AT smithsamuelg optimizationofaninformationleaflettoinfluencemedicationbeliefsinwomenwithbreastcancerarandomizedfactorialexperiment