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A personalized, web-based breast cancer decision making application: a pre-post survey

BACKGROUND: Every case of breast cancer is unique, and treatment must be personalized to incorporate a woman’s values and preferences. We developed an individually-tailored mobile patient education application for women with breast cancer. METHODS: Pre-post surveys were completed by 255 women who us...

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Autores principales: Wyatt, Kirk D., Jenkins, Sarah M., Plevak, Matthew F., Venegas Pont, Marcia R., Pruthi, Sandhya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805417/
https://www.ncbi.nlm.nih.gov/pubmed/31638964
http://dx.doi.org/10.1186/s12911-019-0924-7
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author Wyatt, Kirk D.
Jenkins, Sarah M.
Plevak, Matthew F.
Venegas Pont, Marcia R.
Pruthi, Sandhya
author_facet Wyatt, Kirk D.
Jenkins, Sarah M.
Plevak, Matthew F.
Venegas Pont, Marcia R.
Pruthi, Sandhya
author_sort Wyatt, Kirk D.
collection PubMed
description BACKGROUND: Every case of breast cancer is unique, and treatment must be personalized to incorporate a woman’s values and preferences. We developed an individually-tailored mobile patient education application for women with breast cancer. METHODS: Pre-post surveys were completed by 255 women who used the tool. RESULTS: Patients thought the application included helpful information (N = 184, 72%) and was easy to navigate (N = 156, 61%). Most patients thought the amount of information in the tool was “about right” (N = 193, 87%). Decision making confidence increased by an average of 0.8 points (10-point scale) following a consultation and use of the tool (p < 0.001). CONCLUSIONS: Tailored mobile applications may optimize care by facilitating shared decision making and knowledge transfer, and they may also enhance the experience of patients as they navigate through their breast cancer journey.
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spelling pubmed-68054172019-10-24 A personalized, web-based breast cancer decision making application: a pre-post survey Wyatt, Kirk D. Jenkins, Sarah M. Plevak, Matthew F. Venegas Pont, Marcia R. Pruthi, Sandhya BMC Med Inform Decis Mak Research Article BACKGROUND: Every case of breast cancer is unique, and treatment must be personalized to incorporate a woman’s values and preferences. We developed an individually-tailored mobile patient education application for women with breast cancer. METHODS: Pre-post surveys were completed by 255 women who used the tool. RESULTS: Patients thought the application included helpful information (N = 184, 72%) and was easy to navigate (N = 156, 61%). Most patients thought the amount of information in the tool was “about right” (N = 193, 87%). Decision making confidence increased by an average of 0.8 points (10-point scale) following a consultation and use of the tool (p < 0.001). CONCLUSIONS: Tailored mobile applications may optimize care by facilitating shared decision making and knowledge transfer, and they may also enhance the experience of patients as they navigate through their breast cancer journey. BioMed Central 2019-10-21 /pmc/articles/PMC6805417/ /pubmed/31638964 http://dx.doi.org/10.1186/s12911-019-0924-7 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wyatt, Kirk D.
Jenkins, Sarah M.
Plevak, Matthew F.
Venegas Pont, Marcia R.
Pruthi, Sandhya
A personalized, web-based breast cancer decision making application: a pre-post survey
title A personalized, web-based breast cancer decision making application: a pre-post survey
title_full A personalized, web-based breast cancer decision making application: a pre-post survey
title_fullStr A personalized, web-based breast cancer decision making application: a pre-post survey
title_full_unstemmed A personalized, web-based breast cancer decision making application: a pre-post survey
title_short A personalized, web-based breast cancer decision making application: a pre-post survey
title_sort personalized, web-based breast cancer decision making application: a pre-post survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805417/
https://www.ncbi.nlm.nih.gov/pubmed/31638964
http://dx.doi.org/10.1186/s12911-019-0924-7
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