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Using three scenarios to explain life expectancy in advanced cancer: attitudes of patients, family members, and other healthcare professionals
AIM: To evaluate a web-based tool for estimating and explaining three scenarios for expected survival time to people with advanced cancer (patients), their family members (FMs), and other healthcare professionals (HCPs). METHODS: Thirty-three oncologists estimated the “median survival of a group of...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385826/ https://www.ncbi.nlm.nih.gov/pubmed/35701634 http://dx.doi.org/10.1007/s00520-022-07167-3 |
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author | Nahm, Sharon H. Stockler, Martin R. Martin, Andrew J. Grimison, Peter Fox, Peter Zielinski, Rob Hawson, Geoffrey AT. Tattersall, Martin HN. Kiely, Belinda E. |
author_facet | Nahm, Sharon H. Stockler, Martin R. Martin, Andrew J. Grimison, Peter Fox, Peter Zielinski, Rob Hawson, Geoffrey AT. Tattersall, Martin HN. Kiely, Belinda E. |
author_sort | Nahm, Sharon H. |
collection | PubMed |
description | AIM: To evaluate a web-based tool for estimating and explaining three scenarios for expected survival time to people with advanced cancer (patients), their family members (FMs), and other healthcare professionals (HCPs). METHODS: Thirty-three oncologists estimated the “median survival of a group of similar patients” for patients seeking quantitative prognostic information. The web-based tool generated worst-case, most likely, and best-case scenarios for survival based on the oncologist’s estimate. Oncologists presented the scenarios to each patient and provided a printed summary to patients, FMs, and HCPs. Attitudes to the information were assessed by questionnaires. Observed survival for each patient was compared with the oncologist’s estimated survival and the three scenarios. RESULTS: Prognosis was discussed with 222 patients: median age 67 years; 61% male; most common primary sites pancreas 15%, non-small-cell lung 15%, and colorectal 12%. The median (range) for observed survival times was 9 months (0.5–43) and for oncologist’s estimated survival times was 12 months (2–96). Ninety-one percent of patients, 91% of FMs, and 84% of HCPs agreed that it was helpful having life expectancy explained as three scenarios. The majority (77%) of patients judged the information presented about their life expectancy to be the same or better than they had expected before the consultation. The survival estimates met a priori criteria for calibration, precision, and accuracy. CONCLUSIONS: Patients, FMs, and HCPs found it helpful to receive personalized prognostic information formatted as three scenarios for survival. It was feasible, acceptable, and safe to use a web-based resource to do this. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00520-022-07167-3. |
format | Online Article Text |
id | pubmed-9385826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-93858262022-08-19 Using three scenarios to explain life expectancy in advanced cancer: attitudes of patients, family members, and other healthcare professionals Nahm, Sharon H. Stockler, Martin R. Martin, Andrew J. Grimison, Peter Fox, Peter Zielinski, Rob Hawson, Geoffrey AT. Tattersall, Martin HN. Kiely, Belinda E. Support Care Cancer Original Article AIM: To evaluate a web-based tool for estimating and explaining three scenarios for expected survival time to people with advanced cancer (patients), their family members (FMs), and other healthcare professionals (HCPs). METHODS: Thirty-three oncologists estimated the “median survival of a group of similar patients” for patients seeking quantitative prognostic information. The web-based tool generated worst-case, most likely, and best-case scenarios for survival based on the oncologist’s estimate. Oncologists presented the scenarios to each patient and provided a printed summary to patients, FMs, and HCPs. Attitudes to the information were assessed by questionnaires. Observed survival for each patient was compared with the oncologist’s estimated survival and the three scenarios. RESULTS: Prognosis was discussed with 222 patients: median age 67 years; 61% male; most common primary sites pancreas 15%, non-small-cell lung 15%, and colorectal 12%. The median (range) for observed survival times was 9 months (0.5–43) and for oncologist’s estimated survival times was 12 months (2–96). Ninety-one percent of patients, 91% of FMs, and 84% of HCPs agreed that it was helpful having life expectancy explained as three scenarios. The majority (77%) of patients judged the information presented about their life expectancy to be the same or better than they had expected before the consultation. The survival estimates met a priori criteria for calibration, precision, and accuracy. CONCLUSIONS: Patients, FMs, and HCPs found it helpful to receive personalized prognostic information formatted as three scenarios for survival. It was feasible, acceptable, and safe to use a web-based resource to do this. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00520-022-07167-3. Springer Berlin Heidelberg 2022-06-15 2022 /pmc/articles/PMC9385826/ /pubmed/35701634 http://dx.doi.org/10.1007/s00520-022-07167-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Nahm, Sharon H. Stockler, Martin R. Martin, Andrew J. Grimison, Peter Fox, Peter Zielinski, Rob Hawson, Geoffrey AT. Tattersall, Martin HN. Kiely, Belinda E. Using three scenarios to explain life expectancy in advanced cancer: attitudes of patients, family members, and other healthcare professionals |
title | Using three scenarios to explain life expectancy in advanced cancer: attitudes of patients, family members, and other healthcare professionals |
title_full | Using three scenarios to explain life expectancy in advanced cancer: attitudes of patients, family members, and other healthcare professionals |
title_fullStr | Using three scenarios to explain life expectancy in advanced cancer: attitudes of patients, family members, and other healthcare professionals |
title_full_unstemmed | Using three scenarios to explain life expectancy in advanced cancer: attitudes of patients, family members, and other healthcare professionals |
title_short | Using three scenarios to explain life expectancy in advanced cancer: attitudes of patients, family members, and other healthcare professionals |
title_sort | using three scenarios to explain life expectancy in advanced cancer: attitudes of patients, family members, and other healthcare professionals |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9385826/ https://www.ncbi.nlm.nih.gov/pubmed/35701634 http://dx.doi.org/10.1007/s00520-022-07167-3 |
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