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Predictors of death at home among cancer patients in Israel: a population-based study

BACKGROUND: Most cancer patients prefer to die at home; however, many die in hospital. The aim of the current study is to elucidate the association between dying at home and various personal factors in the Israeli population of cancer patients. METHODS: Data on cancer incidence (2008–2015) and death...

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Autores principales: Rottenberg, Yakir, Goldzweig, Gil, Shaulov, Adir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037835/
https://www.ncbi.nlm.nih.gov/pubmed/33838680
http://dx.doi.org/10.1186/s12939-021-01437-y
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author Rottenberg, Yakir
Goldzweig, Gil
Shaulov, Adir
author_facet Rottenberg, Yakir
Goldzweig, Gil
Shaulov, Adir
author_sort Rottenberg, Yakir
collection PubMed
description BACKGROUND: Most cancer patients prefer to die at home; however, many die in hospital. The aim of the current study is to elucidate the association between dying at home and various personal factors in the Israeli population of cancer patients. METHODS: Data on cancer incidence (2008–2015) and death (2008–2017) was provided by the Israeli Central Bureau of Statistics and the Israel National Cancer Registry. Binary logistic regression analyses were performed to assess odds ratios for death at home following cancer diagnosis while controlling for age, sex, ethnicity, years of education, residential socioeconomic score, and time from diagnosis. We also assessed the relation between place of death and specific cancer sites, as well as the time trend from 2008 to 2017. RESULTS: About one quarter (26.7%) of the study population died at home. Death at home was most frequent among patients diagnosed with brain tumors (37.0%), while it was the lowest among patients with hematologic malignancies (lymphoma and leukemia, 20.3 and 20.0%, respectively). Rates of dying at home among patients with residential socioeconomic scores of 1, 2–9, and 10 were about 15, 30, and 42.9%, respectively. In patients from the 4th to the 7th decades of life, rates of death at home increased at a linear rate that increased exponentially from the 8th decade onwards. After controlling for potential confounders, predictive variables for death at home included age (OR = 1.020 per year, 95% CI 1.017–1.024), male sex (OR = 1.18, 95% CI 1.077–1.294), years of education (OR = 1.029 per year, 95% CI 1.018–1.040), and time from diagnosis (OR = 1.003 per month, 95% CI 1.001–1.005 all p < 0.001). No trend was seen from 2008 to 2013, while from 2014 to 2017 a slight increase in the rate of death at home was seen each year. CONCLUSIONS: These results indicate wide variability in death at home exists among patients of different ages, sex, education, socioeconomic status and time from diagnosis. These findings stress the importance of delivering quality palliative care at home, mainly for patients with hematologic malignancies, younger patients, and patients of very low socioeconomic status. Understanding the complex mechanisms whereby patient preferences and the above variables may determine the preferred place of death remains an important research priority.
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spelling pubmed-80378352021-04-12 Predictors of death at home among cancer patients in Israel: a population-based study Rottenberg, Yakir Goldzweig, Gil Shaulov, Adir Int J Equity Health Research BACKGROUND: Most cancer patients prefer to die at home; however, many die in hospital. The aim of the current study is to elucidate the association between dying at home and various personal factors in the Israeli population of cancer patients. METHODS: Data on cancer incidence (2008–2015) and death (2008–2017) was provided by the Israeli Central Bureau of Statistics and the Israel National Cancer Registry. Binary logistic regression analyses were performed to assess odds ratios for death at home following cancer diagnosis while controlling for age, sex, ethnicity, years of education, residential socioeconomic score, and time from diagnosis. We also assessed the relation between place of death and specific cancer sites, as well as the time trend from 2008 to 2017. RESULTS: About one quarter (26.7%) of the study population died at home. Death at home was most frequent among patients diagnosed with brain tumors (37.0%), while it was the lowest among patients with hematologic malignancies (lymphoma and leukemia, 20.3 and 20.0%, respectively). Rates of dying at home among patients with residential socioeconomic scores of 1, 2–9, and 10 were about 15, 30, and 42.9%, respectively. In patients from the 4th to the 7th decades of life, rates of death at home increased at a linear rate that increased exponentially from the 8th decade onwards. After controlling for potential confounders, predictive variables for death at home included age (OR = 1.020 per year, 95% CI 1.017–1.024), male sex (OR = 1.18, 95% CI 1.077–1.294), years of education (OR = 1.029 per year, 95% CI 1.018–1.040), and time from diagnosis (OR = 1.003 per month, 95% CI 1.001–1.005 all p < 0.001). No trend was seen from 2008 to 2013, while from 2014 to 2017 a slight increase in the rate of death at home was seen each year. CONCLUSIONS: These results indicate wide variability in death at home exists among patients of different ages, sex, education, socioeconomic status and time from diagnosis. These findings stress the importance of delivering quality palliative care at home, mainly for patients with hematologic malignancies, younger patients, and patients of very low socioeconomic status. Understanding the complex mechanisms whereby patient preferences and the above variables may determine the preferred place of death remains an important research priority. BioMed Central 2021-04-10 /pmc/articles/PMC8037835/ /pubmed/33838680 http://dx.doi.org/10.1186/s12939-021-01437-y Text en © The Author(s) 2021 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Rottenberg, Yakir
Goldzweig, Gil
Shaulov, Adir
Predictors of death at home among cancer patients in Israel: a population-based study
title Predictors of death at home among cancer patients in Israel: a population-based study
title_full Predictors of death at home among cancer patients in Israel: a population-based study
title_fullStr Predictors of death at home among cancer patients in Israel: a population-based study
title_full_unstemmed Predictors of death at home among cancer patients in Israel: a population-based study
title_short Predictors of death at home among cancer patients in Israel: a population-based study
title_sort predictors of death at home among cancer patients in israel: a population-based study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037835/
https://www.ncbi.nlm.nih.gov/pubmed/33838680
http://dx.doi.org/10.1186/s12939-021-01437-y
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