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Can a Patient’s In-Hospital Length of Stay and Mortality Be Explained by Early-Risk Assessments?
OBJECTIVE: To assess whether a patient’s in-hospital length of stay (LOS) and mortality can be explained by early objective and/or physicians’ subjective-risk assessments. DATA SOURCES/STUDY SETTING: Analysis of a detailed dataset of 1,021 patients admitted to a large U.S. hospital between January a...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024988/ https://www.ncbi.nlm.nih.gov/pubmed/27632368 http://dx.doi.org/10.1371/journal.pone.0162976 |
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author | Azadeh-Fard, Nasibeh Ghaffarzadegan, Navid Camelio, Jaime A. |
author_facet | Azadeh-Fard, Nasibeh Ghaffarzadegan, Navid Camelio, Jaime A. |
author_sort | Azadeh-Fard, Nasibeh |
collection | PubMed |
description | OBJECTIVE: To assess whether a patient’s in-hospital length of stay (LOS) and mortality can be explained by early objective and/or physicians’ subjective-risk assessments. DATA SOURCES/STUDY SETTING: Analysis of a detailed dataset of 1,021 patients admitted to a large U.S. hospital between January and September 2014. STUDY DESIGN: We empirically test the explanatory power of objective and subjective early-risk assessments using various linear and logistic regression models. PRINCIPAL FINDINGS: The objective measures of early warning can only weakly explain LOS and mortality. When controlled for various vital signs and demographics, objective signs lose their explanatory power. LOS and death are more associated with physicians’ early subjective risk assessments than the objective measures. CONCLUSIONS: Explaining LOS and mortality require variables beyond patients’ initial medical risk measures. LOS and in-hospital mortality are more associated with the way in which the human element of healthcare service (e.g., physicians) perceives and reacts to the risks. |
format | Online Article Text |
id | pubmed-5024988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50249882016-09-27 Can a Patient’s In-Hospital Length of Stay and Mortality Be Explained by Early-Risk Assessments? Azadeh-Fard, Nasibeh Ghaffarzadegan, Navid Camelio, Jaime A. PLoS One Research Article OBJECTIVE: To assess whether a patient’s in-hospital length of stay (LOS) and mortality can be explained by early objective and/or physicians’ subjective-risk assessments. DATA SOURCES/STUDY SETTING: Analysis of a detailed dataset of 1,021 patients admitted to a large U.S. hospital between January and September 2014. STUDY DESIGN: We empirically test the explanatory power of objective and subjective early-risk assessments using various linear and logistic regression models. PRINCIPAL FINDINGS: The objective measures of early warning can only weakly explain LOS and mortality. When controlled for various vital signs and demographics, objective signs lose their explanatory power. LOS and death are more associated with physicians’ early subjective risk assessments than the objective measures. CONCLUSIONS: Explaining LOS and mortality require variables beyond patients’ initial medical risk measures. LOS and in-hospital mortality are more associated with the way in which the human element of healthcare service (e.g., physicians) perceives and reacts to the risks. Public Library of Science 2016-09-15 /pmc/articles/PMC5024988/ /pubmed/27632368 http://dx.doi.org/10.1371/journal.pone.0162976 Text en © 2016 Azadeh-Fard et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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 Azadeh-Fard, Nasibeh Ghaffarzadegan, Navid Camelio, Jaime A. Can a Patient’s In-Hospital Length of Stay and Mortality Be Explained by Early-Risk Assessments? |
title | Can a Patient’s In-Hospital Length of Stay and Mortality Be Explained by Early-Risk Assessments? |
title_full | Can a Patient’s In-Hospital Length of Stay and Mortality Be Explained by Early-Risk Assessments? |
title_fullStr | Can a Patient’s In-Hospital Length of Stay and Mortality Be Explained by Early-Risk Assessments? |
title_full_unstemmed | Can a Patient’s In-Hospital Length of Stay and Mortality Be Explained by Early-Risk Assessments? |
title_short | Can a Patient’s In-Hospital Length of Stay and Mortality Be Explained by Early-Risk Assessments? |
title_sort | can a patient’s in-hospital length of stay and mortality be explained by early-risk assessments? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024988/ https://www.ncbi.nlm.nih.gov/pubmed/27632368 http://dx.doi.org/10.1371/journal.pone.0162976 |
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