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Factors associated with non-beneficial treatments in end of life hospital admissions: a multicentre retrospective cohort study in Australia

OBJECTIVE: To quantitatively assess the factors associated with non-beneficial treatments (NBTs) in hospital admissions at the end of life. DESIGN: Retrospective multicentre cohort study. SETTING: Three large, metropolitan tertiary hospitals in Australia. PARTICIPANTS: 831 adult patients who died as...

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Autores principales: Carter, Hannah Elizabeth, Lee, Xing Ju, Gallois, Cindy, Winch, Sarah, Callaway, Leonie, Willmott, Lindy, White, Ben, Parker, Malcolm, Close, Eliana, Graves, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858125/
https://www.ncbi.nlm.nih.gov/pubmed/31690607
http://dx.doi.org/10.1136/bmjopen-2019-030955
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author Carter, Hannah Elizabeth
Lee, Xing Ju
Gallois, Cindy
Winch, Sarah
Callaway, Leonie
Willmott, Lindy
White, Ben
Parker, Malcolm
Close, Eliana
Graves, Nicholas
author_facet Carter, Hannah Elizabeth
Lee, Xing Ju
Gallois, Cindy
Winch, Sarah
Callaway, Leonie
Willmott, Lindy
White, Ben
Parker, Malcolm
Close, Eliana
Graves, Nicholas
author_sort Carter, Hannah Elizabeth
collection PubMed
description OBJECTIVE: To quantitatively assess the factors associated with non-beneficial treatments (NBTs) in hospital admissions at the end of life. DESIGN: Retrospective multicentre cohort study. SETTING: Three large, metropolitan tertiary hospitals in Australia. PARTICIPANTS: 831 adult patients who died as inpatients following admission to the study hospitals over a 6-month period in 2012. MAIN OUTCOME MEASURES: Odds ratios (ORs) of NBT derived from logistic regression models. RESULTS: Overall, 103 (12.4%) admissions involved NBTs. Admissions that involved conflict within a patient’s family (OR 8.9, 95% CI 4.1 to 18.9) or conflict within the medical team (OR 6.5, 95% CI 2.4 to 17.8) had the strongest associations with NBTs in the all subsets regression model. A positive association was observed in older patients, with each 10-year increment in age increasing the likelihood of NBT by approximately 50% (OR 1.5, 95% CI 1.2 to 1.9). There was also a statistically significant hospital effect. CONCLUSIONS: This paper presents the first statistical modelling results to assess the factors associated with NBT in hospital, beyond an intensive care setting. Our findings highlight potential areas for intervention to reduce the likelihood of NBTs.
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spelling pubmed-68581252019-12-03 Factors associated with non-beneficial treatments in end of life hospital admissions: a multicentre retrospective cohort study in Australia Carter, Hannah Elizabeth Lee, Xing Ju Gallois, Cindy Winch, Sarah Callaway, Leonie Willmott, Lindy White, Ben Parker, Malcolm Close, Eliana Graves, Nicholas BMJ Open Health Services Research OBJECTIVE: To quantitatively assess the factors associated with non-beneficial treatments (NBTs) in hospital admissions at the end of life. DESIGN: Retrospective multicentre cohort study. SETTING: Three large, metropolitan tertiary hospitals in Australia. PARTICIPANTS: 831 adult patients who died as inpatients following admission to the study hospitals over a 6-month period in 2012. MAIN OUTCOME MEASURES: Odds ratios (ORs) of NBT derived from logistic regression models. RESULTS: Overall, 103 (12.4%) admissions involved NBTs. Admissions that involved conflict within a patient’s family (OR 8.9, 95% CI 4.1 to 18.9) or conflict within the medical team (OR 6.5, 95% CI 2.4 to 17.8) had the strongest associations with NBTs in the all subsets regression model. A positive association was observed in older patients, with each 10-year increment in age increasing the likelihood of NBT by approximately 50% (OR 1.5, 95% CI 1.2 to 1.9). There was also a statistically significant hospital effect. CONCLUSIONS: This paper presents the first statistical modelling results to assess the factors associated with NBT in hospital, beyond an intensive care setting. Our findings highlight potential areas for intervention to reduce the likelihood of NBTs. BMJ Publishing Group 2019-11-04 /pmc/articles/PMC6858125/ /pubmed/31690607 http://dx.doi.org/10.1136/bmjopen-2019-030955 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Health Services Research
Carter, Hannah Elizabeth
Lee, Xing Ju
Gallois, Cindy
Winch, Sarah
Callaway, Leonie
Willmott, Lindy
White, Ben
Parker, Malcolm
Close, Eliana
Graves, Nicholas
Factors associated with non-beneficial treatments in end of life hospital admissions: a multicentre retrospective cohort study in Australia
title Factors associated with non-beneficial treatments in end of life hospital admissions: a multicentre retrospective cohort study in Australia
title_full Factors associated with non-beneficial treatments in end of life hospital admissions: a multicentre retrospective cohort study in Australia
title_fullStr Factors associated with non-beneficial treatments in end of life hospital admissions: a multicentre retrospective cohort study in Australia
title_full_unstemmed Factors associated with non-beneficial treatments in end of life hospital admissions: a multicentre retrospective cohort study in Australia
title_short Factors associated with non-beneficial treatments in end of life hospital admissions: a multicentre retrospective cohort study in Australia
title_sort factors associated with non-beneficial treatments in end of life hospital admissions: a multicentre retrospective cohort study in australia
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858125/
https://www.ncbi.nlm.nih.gov/pubmed/31690607
http://dx.doi.org/10.1136/bmjopen-2019-030955
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