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Associations between home deaths and end-of-life nursing care trajectories for community-dwelling people: a population-based registry study

BACKGROUND: Few studies have estimated planned home deaths compared to actual place of death in a general population or the longitudinal course of home nursing services and associations with place of death. We aimed to investigate trajectories of nursing services, potentially planned home deaths reg...

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Autores principales: Kjellstadli, Camilla, Han, Ling, Allore, Heather, Flo, Elisabeth, Husebo, Bettina S., Hunskaar, Steinar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6794846/
https://www.ncbi.nlm.nih.gov/pubmed/31615500
http://dx.doi.org/10.1186/s12913-019-4536-9
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author Kjellstadli, Camilla
Han, Ling
Allore, Heather
Flo, Elisabeth
Husebo, Bettina S.
Hunskaar, Steinar
author_facet Kjellstadli, Camilla
Han, Ling
Allore, Heather
Flo, Elisabeth
Husebo, Bettina S.
Hunskaar, Steinar
author_sort Kjellstadli, Camilla
collection PubMed
description BACKGROUND: Few studies have estimated planned home deaths compared to actual place of death in a general population or the longitudinal course of home nursing services and associations with place of death. We aimed to investigate trajectories of nursing services, potentially planned home deaths regardless of place of death; and associations of place of death with potentially planned home deaths and nursing service trajectories, by analyzing data from the last 90 days of life. METHODS: A retrospective longitudinal study with data from the Norwegian Cause of Death Registry and National registry for statistics on municipal healthcare services included all community-dwelling people who died in Norway 2012–2013 (n = 53,396). We used a group-based trajectory model to identify joint trajectories of home nursing (hours per week) and probability of a skilled nursing facility (SNF) stay, each of the 13 weeks leading up to death. An algorithm estimated potentially planned home deaths. We used a multinomial logistic regression model to estimate associations of place of death with potentially planned home deaths, trajectories of home nursing and short-term SNF. RESULTS: We identified four home nursing service trajectories: no (46.5%), accelerating (7.6%), decreasing (22.1%), and high (23.5%) home nursing; and four trajectories of the probability of a SNF stay: low (69.0%), intermediate (6.7%), escalating (15.9%), and increasing (8.4%) SNF. An estimated 24.0% of all deaths were potentially planned home deaths, of which a third occurred at home. Only high home nursing was associated with increased likelihood of a home death (adjusted relative risk ratio (aRRR) 1.29; CI 1.21–1.38). Following any trajectory with elevated probability of a SNF stay reduced the likelihood of a home death. CONCLUSIONS: We estimated few potentially planned home deaths. Trajectories of home nursing hours and probability of SNF stays indicated possible effective palliative home nursing for some, but also missed opportunities of staying at home longer at the end-of-life. Continuity of care seems to be an important factor in palliative home care and home death.
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spelling pubmed-67948462019-10-21 Associations between home deaths and end-of-life nursing care trajectories for community-dwelling people: a population-based registry study Kjellstadli, Camilla Han, Ling Allore, Heather Flo, Elisabeth Husebo, Bettina S. Hunskaar, Steinar BMC Health Serv Res Research Article BACKGROUND: Few studies have estimated planned home deaths compared to actual place of death in a general population or the longitudinal course of home nursing services and associations with place of death. We aimed to investigate trajectories of nursing services, potentially planned home deaths regardless of place of death; and associations of place of death with potentially planned home deaths and nursing service trajectories, by analyzing data from the last 90 days of life. METHODS: A retrospective longitudinal study with data from the Norwegian Cause of Death Registry and National registry for statistics on municipal healthcare services included all community-dwelling people who died in Norway 2012–2013 (n = 53,396). We used a group-based trajectory model to identify joint trajectories of home nursing (hours per week) and probability of a skilled nursing facility (SNF) stay, each of the 13 weeks leading up to death. An algorithm estimated potentially planned home deaths. We used a multinomial logistic regression model to estimate associations of place of death with potentially planned home deaths, trajectories of home nursing and short-term SNF. RESULTS: We identified four home nursing service trajectories: no (46.5%), accelerating (7.6%), decreasing (22.1%), and high (23.5%) home nursing; and four trajectories of the probability of a SNF stay: low (69.0%), intermediate (6.7%), escalating (15.9%), and increasing (8.4%) SNF. An estimated 24.0% of all deaths were potentially planned home deaths, of which a third occurred at home. Only high home nursing was associated with increased likelihood of a home death (adjusted relative risk ratio (aRRR) 1.29; CI 1.21–1.38). Following any trajectory with elevated probability of a SNF stay reduced the likelihood of a home death. CONCLUSIONS: We estimated few potentially planned home deaths. Trajectories of home nursing hours and probability of SNF stays indicated possible effective palliative home nursing for some, but also missed opportunities of staying at home longer at the end-of-life. Continuity of care seems to be an important factor in palliative home care and home death. BioMed Central 2019-10-15 /pmc/articles/PMC6794846/ /pubmed/31615500 http://dx.doi.org/10.1186/s12913-019-4536-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Kjellstadli, Camilla
Han, Ling
Allore, Heather
Flo, Elisabeth
Husebo, Bettina S.
Hunskaar, Steinar
Associations between home deaths and end-of-life nursing care trajectories for community-dwelling people: a population-based registry study
title Associations between home deaths and end-of-life nursing care trajectories for community-dwelling people: a population-based registry study
title_full Associations between home deaths and end-of-life nursing care trajectories for community-dwelling people: a population-based registry study
title_fullStr Associations between home deaths and end-of-life nursing care trajectories for community-dwelling people: a population-based registry study
title_full_unstemmed Associations between home deaths and end-of-life nursing care trajectories for community-dwelling people: a population-based registry study
title_short Associations between home deaths and end-of-life nursing care trajectories for community-dwelling people: a population-based registry study
title_sort associations between home deaths and end-of-life nursing care trajectories for community-dwelling people: a population-based registry study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6794846/
https://www.ncbi.nlm.nih.gov/pubmed/31615500
http://dx.doi.org/10.1186/s12913-019-4536-9
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