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Surviving Burn Injury: Drivers of Length of Hospital Stay
With a reduction in the mortality rate of burn patients, length of stay (LOS) has been increasingly adopted as an outcome measure. Some studies have attempted to identify factors that explain a burn patient’s LOS. However, few have investigated the association between LOS and a patient’s mental and...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7829802/ https://www.ncbi.nlm.nih.gov/pubmed/33477442 http://dx.doi.org/10.3390/ijerph18020761 |
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author | Onah, Chimdimma Noelyn Allmendinger, Richard Handl, Julia Dunn, Ken W. |
author_facet | Onah, Chimdimma Noelyn Allmendinger, Richard Handl, Julia Dunn, Ken W. |
author_sort | Onah, Chimdimma Noelyn |
collection | PubMed |
description | With a reduction in the mortality rate of burn patients, length of stay (LOS) has been increasingly adopted as an outcome measure. Some studies have attempted to identify factors that explain a burn patient’s LOS. However, few have investigated the association between LOS and a patient’s mental and socioeconomic status. There is anecdotal evidence for links between these factors; uncovering these will aid in better addressing the specific physical and emotional needs of burn patients and facilitate the planning of scarce hospital resources. Here, we employ machine learning (clustering) and statistical models (regression) to investigate whether segmentation by socioeconomic/mental status can improve the performance and interpretability of an upstream predictive model, relative to a unitary model. Although we found no significant difference in the unitary model’s performance and the segment-specific models, the interpretation of the segment-specific models reveals a reduced impact of burn severity in LOS prediction with increasing adverse socioeconomic and mental status. Furthermore, the socioeconomic segments’ models highlight an increased influence of living circumstances and source of injury on LOS. These findings suggest that in addition to ensuring that patients’ physical needs are met, management of their mental status is crucial for delivering an effective care plan. |
format | Online Article Text |
id | pubmed-7829802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78298022021-01-26 Surviving Burn Injury: Drivers of Length of Hospital Stay Onah, Chimdimma Noelyn Allmendinger, Richard Handl, Julia Dunn, Ken W. Int J Environ Res Public Health Article With a reduction in the mortality rate of burn patients, length of stay (LOS) has been increasingly adopted as an outcome measure. Some studies have attempted to identify factors that explain a burn patient’s LOS. However, few have investigated the association between LOS and a patient’s mental and socioeconomic status. There is anecdotal evidence for links between these factors; uncovering these will aid in better addressing the specific physical and emotional needs of burn patients and facilitate the planning of scarce hospital resources. Here, we employ machine learning (clustering) and statistical models (regression) to investigate whether segmentation by socioeconomic/mental status can improve the performance and interpretability of an upstream predictive model, relative to a unitary model. Although we found no significant difference in the unitary model’s performance and the segment-specific models, the interpretation of the segment-specific models reveals a reduced impact of burn severity in LOS prediction with increasing adverse socioeconomic and mental status. Furthermore, the socioeconomic segments’ models highlight an increased influence of living circumstances and source of injury on LOS. These findings suggest that in addition to ensuring that patients’ physical needs are met, management of their mental status is crucial for delivering an effective care plan. MDPI 2021-01-18 2021-01 /pmc/articles/PMC7829802/ /pubmed/33477442 http://dx.doi.org/10.3390/ijerph18020761 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Onah, Chimdimma Noelyn Allmendinger, Richard Handl, Julia Dunn, Ken W. Surviving Burn Injury: Drivers of Length of Hospital Stay |
title | Surviving Burn Injury: Drivers of Length of Hospital Stay |
title_full | Surviving Burn Injury: Drivers of Length of Hospital Stay |
title_fullStr | Surviving Burn Injury: Drivers of Length of Hospital Stay |
title_full_unstemmed | Surviving Burn Injury: Drivers of Length of Hospital Stay |
title_short | Surviving Burn Injury: Drivers of Length of Hospital Stay |
title_sort | surviving burn injury: drivers of length of hospital stay |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7829802/ https://www.ncbi.nlm.nih.gov/pubmed/33477442 http://dx.doi.org/10.3390/ijerph18020761 |
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