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Impact on place of death in cancer patients: a causal exploration in southern Switzerland
BACKGROUND: Most terminally ill cancer patients prefer to die at home, but a majority die in institutional settings. Research questions about this discrepancy have not been fully answered. This study applies artificial intelligence and machine learning techniques to explore the complex network of fa...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566155/ https://www.ncbi.nlm.nih.gov/pubmed/33059636 http://dx.doi.org/10.1186/s12904-020-00664-4 |
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author | Kern, Heidi Corani, Giorgio Huber, David Vermes, Nicola Zaffalon, Marco Varini, Marco Wenzel, Claudia Fringer, André |
author_facet | Kern, Heidi Corani, Giorgio Huber, David Vermes, Nicola Zaffalon, Marco Varini, Marco Wenzel, Claudia Fringer, André |
author_sort | Kern, Heidi |
collection | PubMed |
description | BACKGROUND: Most terminally ill cancer patients prefer to die at home, but a majority die in institutional settings. Research questions about this discrepancy have not been fully answered. This study applies artificial intelligence and machine learning techniques to explore the complex network of factors and the cause-effect relationships affecting the place of death, with the ultimate aim of developing policies favouring home-based end-of-life care. METHODS: A data mining algorithm and a causal probabilistic model for data analysis were developed with information derived from expert knowledge that was merged with data from 116 deceased cancer patients in southern Switzerland. This data set was obtained via a retrospective clinical chart review. RESULTS: Dependencies of disease and treatment-related decisions demonstrate an influence on the place of death of 13%. Anticancer treatment in advanced disease prevents or delays communication about the end of life between oncologists, patients and families. Unknown preferences for the place of death represent a great barrier to a home death. A further barrier is the limited availability of family caregivers for terminal home care. The family’s preference for the last place of care has a high impact on the place of death of 51%, while the influence of the patient’s preference is low, at 14%. Approximately one-third of family systems can be empowered by health care professionals to provide home care through open end-of-life communication and good symptom management. Such intervention has an influence on the place of death of 17%. If families express a convincing preference for home care, the involvement of a specialist palliative home care service can increase the probability of home deaths by 24%. CONCLUSION: Concerning death at home, open communication about death and dying is essential. Furthermore, for the patient preference for home care to be respected, the family’s decision for the last place of care seems to be key. The early initiation of family-centred palliative care and the provision of specialist palliative home care for patients who wish to die at home are suggested. |
format | Online Article Text |
id | pubmed-7566155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75661552020-10-20 Impact on place of death in cancer patients: a causal exploration in southern Switzerland Kern, Heidi Corani, Giorgio Huber, David Vermes, Nicola Zaffalon, Marco Varini, Marco Wenzel, Claudia Fringer, André BMC Palliat Care Research Article BACKGROUND: Most terminally ill cancer patients prefer to die at home, but a majority die in institutional settings. Research questions about this discrepancy have not been fully answered. This study applies artificial intelligence and machine learning techniques to explore the complex network of factors and the cause-effect relationships affecting the place of death, with the ultimate aim of developing policies favouring home-based end-of-life care. METHODS: A data mining algorithm and a causal probabilistic model for data analysis were developed with information derived from expert knowledge that was merged with data from 116 deceased cancer patients in southern Switzerland. This data set was obtained via a retrospective clinical chart review. RESULTS: Dependencies of disease and treatment-related decisions demonstrate an influence on the place of death of 13%. Anticancer treatment in advanced disease prevents or delays communication about the end of life between oncologists, patients and families. Unknown preferences for the place of death represent a great barrier to a home death. A further barrier is the limited availability of family caregivers for terminal home care. The family’s preference for the last place of care has a high impact on the place of death of 51%, while the influence of the patient’s preference is low, at 14%. Approximately one-third of family systems can be empowered by health care professionals to provide home care through open end-of-life communication and good symptom management. Such intervention has an influence on the place of death of 17%. If families express a convincing preference for home care, the involvement of a specialist palliative home care service can increase the probability of home deaths by 24%. CONCLUSION: Concerning death at home, open communication about death and dying is essential. Furthermore, for the patient preference for home care to be respected, the family’s decision for the last place of care seems to be key. The early initiation of family-centred palliative care and the provision of specialist palliative home care for patients who wish to die at home are suggested. BioMed Central 2020-10-15 /pmc/articles/PMC7566155/ /pubmed/33059636 http://dx.doi.org/10.1186/s12904-020-00664-4 Text en © The Author(s) 2020 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/. 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 in a credit line to the data. |
spellingShingle | Research Article Kern, Heidi Corani, Giorgio Huber, David Vermes, Nicola Zaffalon, Marco Varini, Marco Wenzel, Claudia Fringer, André Impact on place of death in cancer patients: a causal exploration in southern Switzerland |
title | Impact on place of death in cancer patients: a causal exploration in southern Switzerland |
title_full | Impact on place of death in cancer patients: a causal exploration in southern Switzerland |
title_fullStr | Impact on place of death in cancer patients: a causal exploration in southern Switzerland |
title_full_unstemmed | Impact on place of death in cancer patients: a causal exploration in southern Switzerland |
title_short | Impact on place of death in cancer patients: a causal exploration in southern Switzerland |
title_sort | impact on place of death in cancer patients: a causal exploration in southern switzerland |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566155/ https://www.ncbi.nlm.nih.gov/pubmed/33059636 http://dx.doi.org/10.1186/s12904-020-00664-4 |
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