Communicating prognosis to women with early breast cancer – overview of prediction tools and the development and pilot testing of a decision aid
| العنوان: | Communicating prognosis to women with early breast cancer – overview of prediction tools and the development and pilot testing of a decision aid |
|---|---|
| المؤلفون: | Ingrid Mühlhauser, Martina Albrecht, Birte Berger-Höger, Anke Steckelberg, Viktoria Mühlbauer |
| المصدر: | BMC Health Services Research, Vol 19, Iss 1, Pp 1-15 (2019) BMC Health Services Research |
| بيانات النشر: | BMC, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Adult, medicine.medical_specialty, Survival, Health informatics, Health administration, Risk communication, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, medicine, Decision aids, Humans, 030212 general & internal medicine, Aged, business.industry, 030503 health policy & services, Health Policy, Public health, Nursing research, Communication, Decision support techniques, lcsh:Public aspects of medicine, lcsh:RA1-1270, Focus Groups, Middle Aged, medicine.disease, Prognosis, Focus group, Prediction tool, Comprehension, Family medicine, Female, Breast neoplasms, 0305 other medical science, business, Research Article, Decision-making |
| الوصف: | 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. |
| اللغة: | English |
| تدمد: | 1472-6963 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae683474e4a5ed0bce65590ca433940d http://link.springer.com/article/10.1186/s12913-019-3988-2 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....ae683474e4a5ed0bce65590ca433940d |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 14726963 |
|---|