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Communicating prognosis to women with early breast cancer – overview of prediction tools and the development and pilot testing of a decision aid
BACKGROUND: Shared decision-making in oncology requires information on individual prognosis. This comprises cancer prognosis as well as competing risks of dying due to age and comorbidities. Decision aids usually do not provide such information on competing risks. We conducted an overview on clinica...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420759/ https://www.ncbi.nlm.nih.gov/pubmed/30876414 http://dx.doi.org/10.1186/s12913-019-3988-2 |
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author | Mühlbauer, Viktoria Berger-Höger, Birte Albrecht, Martina Mühlhauser, Ingrid Steckelberg, Anke |
author_facet | Mühlbauer, Viktoria Berger-Höger, Birte Albrecht, Martina Mühlhauser, Ingrid Steckelberg, Anke |
author_sort | Mühlbauer, Viktoria |
collection | PubMed |
description | BACKGROUND: Shared decision-making in oncology requires information on individual prognosis. This comprises cancer prognosis as well as competing risks of dying due to age and comorbidities. Decision aids usually do not provide such information on competing risks. We conducted an overview on clinical prediction tools for early breast cancer and developed and pilot-tested a decision aid (DA) addressing individual prognosis using additional chemotherapy in early, hormone receptor-positive breast cancer as an example. METHODS: Systematic literature search on clinical prediction tools for the effects of drug treatment on survival of breast cancer. The DA was developed following criteria for evidence-based patient information and International Patient Decision Aids Standards. We included data on the influence of age and comorbidities on overall prognosis. The DA was pilot-tested in focus groups. Comprehension was additionally evaluated through an online survey with women in breast cancer self-help groups. RESULTS: We identified three prediction tools: Adjuvant!Online, PREDICT and CancerMath. All tools consider age and tumor characteristics. Adjuvant!Online considers comorbidities, CancerMath displays age-dependent non-cancer mortality. Harm due to therapy is not reported. Twenty women participated in focus groups piloting the DA until data saturation was achieved. A total of 102 women consented to participate in the online survey, of which 86 completed the survey. The rate of correct responses was 90.5% and ranged between 84 and 95% for individual questions. CONCLUSIONS: None of the clinical prediction tools fulfilled the requirements to provide women with all the necessary information for informed decision-making. Information on individual prognosis was well understood and can be included in patient decision aids. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-019-3988-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6420759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64207592019-03-28 Communicating prognosis to women with early breast cancer – overview of prediction tools and the development and pilot testing of a decision aid Mühlbauer, Viktoria Berger-Höger, Birte Albrecht, Martina Mühlhauser, Ingrid Steckelberg, Anke BMC Health Serv Res Research Article BACKGROUND: Shared decision-making in oncology requires information on individual prognosis. This comprises cancer prognosis as well as competing risks of dying due to age and comorbidities. Decision aids usually do not provide such information on competing risks. We conducted an overview on clinical prediction tools for early breast cancer and developed and pilot-tested a decision aid (DA) addressing individual prognosis using additional chemotherapy in early, hormone receptor-positive breast cancer as an example. METHODS: Systematic literature search on clinical prediction tools for the effects of drug treatment on survival of breast cancer. The DA was developed following criteria for evidence-based patient information and International Patient Decision Aids Standards. We included data on the influence of age and comorbidities on overall prognosis. The DA was pilot-tested in focus groups. Comprehension was additionally evaluated through an online survey with women in breast cancer self-help groups. RESULTS: We identified three prediction tools: Adjuvant!Online, PREDICT and CancerMath. All tools consider age and tumor characteristics. Adjuvant!Online considers comorbidities, CancerMath displays age-dependent non-cancer mortality. Harm due to therapy is not reported. Twenty women participated in focus groups piloting the DA until data saturation was achieved. A total of 102 women consented to participate in the online survey, of which 86 completed the survey. The rate of correct responses was 90.5% and ranged between 84 and 95% for individual questions. CONCLUSIONS: None of the clinical prediction tools fulfilled the requirements to provide women with all the necessary information for informed decision-making. Information on individual prognosis was well understood and can be included in patient decision aids. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-019-3988-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-15 /pmc/articles/PMC6420759/ /pubmed/30876414 http://dx.doi.org/10.1186/s12913-019-3988-2 Text en © The Author(s). 2019 Open AccessThis 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 Mühlbauer, Viktoria Berger-Höger, Birte Albrecht, Martina Mühlhauser, Ingrid Steckelberg, Anke Communicating prognosis to women with early breast cancer – overview of prediction tools and the development and pilot testing of a decision aid |
title | Communicating prognosis to women with early breast cancer – overview of prediction tools and the development and pilot testing of a decision aid |
title_full | Communicating prognosis to women with early breast cancer – overview of prediction tools and the development and pilot testing of a decision aid |
title_fullStr | Communicating prognosis to women with early breast cancer – overview of prediction tools and the development and pilot testing of a decision aid |
title_full_unstemmed | Communicating prognosis to women with early breast cancer – overview of prediction tools and the development and pilot testing of a decision aid |
title_short | Communicating prognosis to women with early breast cancer – overview of prediction tools and the development and pilot testing of a decision aid |
title_sort | communicating prognosis to women with early breast cancer – overview of prediction tools and the development and pilot testing of a decision aid |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6420759/ https://www.ncbi.nlm.nih.gov/pubmed/30876414 http://dx.doi.org/10.1186/s12913-019-3988-2 |
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