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Impact of cognitive decline on medical outcomes and nursing workload: A retrospective cohort study

Few reports have quantitatively investigated the effect of dementia on medical outcomes and nurse workload. Therefore, we aimed to investigate whether cognitive decline can be identified from a nurse assessment and determined its effect on medical outcomes and nurse workload. This retrospective coho...

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Autores principales: Iwaanakuchi, Takashi, Yoshida, Takuma, Fukuda, Yukari, Uto, Yumiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664958/
https://www.ncbi.nlm.nih.gov/pubmed/37992023
http://dx.doi.org/10.1371/journal.pone.0293755
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author Iwaanakuchi, Takashi
Yoshida, Takuma
Fukuda, Yukari
Uto, Yumiko
author_facet Iwaanakuchi, Takashi
Yoshida, Takuma
Fukuda, Yukari
Uto, Yumiko
author_sort Iwaanakuchi, Takashi
collection PubMed
description Few reports have quantitatively investigated the effect of dementia on medical outcomes and nurse workload. Therefore, we aimed to investigate whether cognitive decline can be identified from a nurse assessment and determined its effect on medical outcomes and nurse workload. This retrospective cohort study used electronic medical record data to investigate whether patients judged by nurses to have cognitive decline were as affected as those with a dementia diagnosis. Further, a model formula was created and validated to predict the probability of needing physical restraint, the nursing care workload, and the record volume. The subjects were 43,330 patients aged ≥40 years who were hospitalized at the study hospital during the four-year study period. Data were analyzed using the chi-square test, Welch’s t-test, logistic regression analysis and linear regression analysis. The implementation of physical restraint and a discharge support conference was significantly higher in patients deemed by nurses to have cognitive decline. Nurse-deemed patients with cognitive decline were affected by the outcome and workload as much as those with dementia. The false discovery rate for the Probability model formula of physical restraint and discharge support conference were 0.198 and 0.266. The correlation coefficient of the model formula for predicting nursing care and recording volume was 0.5–0.6. Combining nurse assessment and patient attribute information in a model was useful for predicting nurse workload. These findings may serve as a foundational component for the Clinical Decision Support System, aiding in the evaluation of intervention methods from the early stages of hospital admission and improving care delivery.
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spelling pubmed-106649582023-11-22 Impact of cognitive decline on medical outcomes and nursing workload: A retrospective cohort study Iwaanakuchi, Takashi Yoshida, Takuma Fukuda, Yukari Uto, Yumiko PLoS One Research Article Few reports have quantitatively investigated the effect of dementia on medical outcomes and nurse workload. Therefore, we aimed to investigate whether cognitive decline can be identified from a nurse assessment and determined its effect on medical outcomes and nurse workload. This retrospective cohort study used electronic medical record data to investigate whether patients judged by nurses to have cognitive decline were as affected as those with a dementia diagnosis. Further, a model formula was created and validated to predict the probability of needing physical restraint, the nursing care workload, and the record volume. The subjects were 43,330 patients aged ≥40 years who were hospitalized at the study hospital during the four-year study period. Data were analyzed using the chi-square test, Welch’s t-test, logistic regression analysis and linear regression analysis. The implementation of physical restraint and a discharge support conference was significantly higher in patients deemed by nurses to have cognitive decline. Nurse-deemed patients with cognitive decline were affected by the outcome and workload as much as those with dementia. The false discovery rate for the Probability model formula of physical restraint and discharge support conference were 0.198 and 0.266. The correlation coefficient of the model formula for predicting nursing care and recording volume was 0.5–0.6. Combining nurse assessment and patient attribute information in a model was useful for predicting nurse workload. These findings may serve as a foundational component for the Clinical Decision Support System, aiding in the evaluation of intervention methods from the early stages of hospital admission and improving care delivery. Public Library of Science 2023-11-22 /pmc/articles/PMC10664958/ /pubmed/37992023 http://dx.doi.org/10.1371/journal.pone.0293755 Text en © 2023 Iwaanakuchi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Iwaanakuchi, Takashi
Yoshida, Takuma
Fukuda, Yukari
Uto, Yumiko
Impact of cognitive decline on medical outcomes and nursing workload: A retrospective cohort study
title Impact of cognitive decline on medical outcomes and nursing workload: A retrospective cohort study
title_full Impact of cognitive decline on medical outcomes and nursing workload: A retrospective cohort study
title_fullStr Impact of cognitive decline on medical outcomes and nursing workload: A retrospective cohort study
title_full_unstemmed Impact of cognitive decline on medical outcomes and nursing workload: A retrospective cohort study
title_short Impact of cognitive decline on medical outcomes and nursing workload: A retrospective cohort study
title_sort impact of cognitive decline on medical outcomes and nursing workload: a retrospective cohort study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664958/
https://www.ncbi.nlm.nih.gov/pubmed/37992023
http://dx.doi.org/10.1371/journal.pone.0293755
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