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Nutrition and Non-Nutrition-Related Challenges Predict Time to Death in Long-Term Care Residents: A Retrospective Chart Review

PURPOSE: Signals of end-of-life decline observed in daily habits, such as mealtime participation, are important for moving towards comfort-focused goals of care in the final months of life of long-term care (LTC) residents. It is unclear how eating issues observed in real-time in LTC homes are used...

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Autores principales: Morrison-Koechl, Jill, Liu, Sheng Han, Banerjee, Albert, Heckman, George, Keller, Heather
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518155/
https://www.ncbi.nlm.nih.gov/pubmed/37750163
http://dx.doi.org/10.2147/JMDH.S417344
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author Morrison-Koechl, Jill
Liu, Sheng Han
Banerjee, Albert
Heckman, George
Keller, Heather
author_facet Morrison-Koechl, Jill
Liu, Sheng Han
Banerjee, Albert
Heckman, George
Keller, Heather
author_sort Morrison-Koechl, Jill
collection PubMed
description PURPOSE: Signals of end-of-life decline observed in daily habits, such as mealtime participation, are important for moving towards comfort-focused goals of care in the final months of life of long-term care (LTC) residents. It is unclear how eating issues observed in real-time in LTC homes are used as indicators of suspected end of life. The study quantifies nutrition and key non-nutrition related signals (eg, general decline, unstable vitals) documented to describe end-of-life decline and the subsequent time to death. PATIENTS AND METHODS: A retrospective chart review identified the first documented conversation where end-of-life decline was considered by members of the care team (eg, nurses, physicians, dietitian, family member) for 76 randomly selected decedents from 9 LTC homes in southwestern Ontario, Canada. Time (days) to death was calculated. A directed content analysis of the free-text description of the suspected end-of-life decline was used to categorize signals. Cox proportional hazards regression analysis tested the risk of mortality associated with each categorized signal. RESULTS: Time to death of residents (mean age = 88 ± 7 years; 60% female) from the first documentation of potential end-of-life decline ranged from 0 days to over 2 years prior to death (median = 27.5 days). Seven nutrition-related and 18 non-nutrition related signals were identified. Swallowing difficulty (HR = 2.99; 95% CI = 1.41, 6.33), cognitive decline (HR = 0.40; 95% CI = 0.20, 0.77), delirium (HR = 13.23; 95% CI = 1.57, 111.69), and cancer (HR = 0.18; 95% CI = 0.07, 0.48) were associated with time to death. CONCLUSION: This study provides insight into the signals used by care providers in LTC to suspect that residents are declining towards the end of life and identifies four signals that were associated with time to death. When identified by care providers as indicators of end-of-life decline, swallowing difficulty and delirium predicted a shorter time to death, while cancer and cognitive decline predicted a longer time to death. Recognition of nutrition and non-nutrition related signals may be leveraged to systematically introduce timely comfort care conversations.
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spelling pubmed-105181552023-09-25 Nutrition and Non-Nutrition-Related Challenges Predict Time to Death in Long-Term Care Residents: A Retrospective Chart Review Morrison-Koechl, Jill Liu, Sheng Han Banerjee, Albert Heckman, George Keller, Heather J Multidiscip Healthc Original Research PURPOSE: Signals of end-of-life decline observed in daily habits, such as mealtime participation, are important for moving towards comfort-focused goals of care in the final months of life of long-term care (LTC) residents. It is unclear how eating issues observed in real-time in LTC homes are used as indicators of suspected end of life. The study quantifies nutrition and key non-nutrition related signals (eg, general decline, unstable vitals) documented to describe end-of-life decline and the subsequent time to death. PATIENTS AND METHODS: A retrospective chart review identified the first documented conversation where end-of-life decline was considered by members of the care team (eg, nurses, physicians, dietitian, family member) for 76 randomly selected decedents from 9 LTC homes in southwestern Ontario, Canada. Time (days) to death was calculated. A directed content analysis of the free-text description of the suspected end-of-life decline was used to categorize signals. Cox proportional hazards regression analysis tested the risk of mortality associated with each categorized signal. RESULTS: Time to death of residents (mean age = 88 ± 7 years; 60% female) from the first documentation of potential end-of-life decline ranged from 0 days to over 2 years prior to death (median = 27.5 days). Seven nutrition-related and 18 non-nutrition related signals were identified. Swallowing difficulty (HR = 2.99; 95% CI = 1.41, 6.33), cognitive decline (HR = 0.40; 95% CI = 0.20, 0.77), delirium (HR = 13.23; 95% CI = 1.57, 111.69), and cancer (HR = 0.18; 95% CI = 0.07, 0.48) were associated with time to death. CONCLUSION: This study provides insight into the signals used by care providers in LTC to suspect that residents are declining towards the end of life and identifies four signals that were associated with time to death. When identified by care providers as indicators of end-of-life decline, swallowing difficulty and delirium predicted a shorter time to death, while cancer and cognitive decline predicted a longer time to death. Recognition of nutrition and non-nutrition related signals may be leveraged to systematically introduce timely comfort care conversations. Dove 2023-09-20 /pmc/articles/PMC10518155/ /pubmed/37750163 http://dx.doi.org/10.2147/JMDH.S417344 Text en © 2023 Morrison-Koechl et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Morrison-Koechl, Jill
Liu, Sheng Han
Banerjee, Albert
Heckman, George
Keller, Heather
Nutrition and Non-Nutrition-Related Challenges Predict Time to Death in Long-Term Care Residents: A Retrospective Chart Review
title Nutrition and Non-Nutrition-Related Challenges Predict Time to Death in Long-Term Care Residents: A Retrospective Chart Review
title_full Nutrition and Non-Nutrition-Related Challenges Predict Time to Death in Long-Term Care Residents: A Retrospective Chart Review
title_fullStr Nutrition and Non-Nutrition-Related Challenges Predict Time to Death in Long-Term Care Residents: A Retrospective Chart Review
title_full_unstemmed Nutrition and Non-Nutrition-Related Challenges Predict Time to Death in Long-Term Care Residents: A Retrospective Chart Review
title_short Nutrition and Non-Nutrition-Related Challenges Predict Time to Death in Long-Term Care Residents: A Retrospective Chart Review
title_sort nutrition and non-nutrition-related challenges predict time to death in long-term care residents: a retrospective chart review
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518155/
https://www.ncbi.nlm.nih.gov/pubmed/37750163
http://dx.doi.org/10.2147/JMDH.S417344
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