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The Feasibility of Increasing Hospital Surge Capacity in Disasters through Early Patient Discharge

OBJECTIVE: Hospitals are expected to be able to provide quality services during disasters. However, hospital capacity is limited and most hospital beds are almost always occupied. The aim of this study was to determine the feasibility of increasing hospital surge capacity during disasters through id...

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Autores principales: Feizolahzadeh, Sima, Vaezi, Aliakbar, Taheriniya, Ali, Mirzaei, Masoud, Vafaeenasab, Mohammadreza, Khorasani-Zavareh, Davoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shiraz University of Medical Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555210/
https://www.ncbi.nlm.nih.gov/pubmed/31198797
http://dx.doi.org/10.29252/beat-070203
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author Feizolahzadeh, Sima
Vaezi, Aliakbar
Taheriniya, Ali
Mirzaei, Masoud
Vafaeenasab, Mohammadreza
Khorasani-Zavareh, Davoud
author_facet Feizolahzadeh, Sima
Vaezi, Aliakbar
Taheriniya, Ali
Mirzaei, Masoud
Vafaeenasab, Mohammadreza
Khorasani-Zavareh, Davoud
author_sort Feizolahzadeh, Sima
collection PubMed
description OBJECTIVE: Hospitals are expected to be able to provide quality services during disasters. However, hospital capacity is limited and most hospital beds are almost always occupied. The aim of this study was to determine the feasibility of increasing hospital surge capacity during disasters through identification of patients suitable for safe early discharge. METHODS: This cross-sectional study was conducted from May 2017 to February 2018 in two phases. In phase I, the Early Discharge Checklist was developed by a multidisciplinary panel of experts. Then in phase II, the checklist was used to assess the dischargeability of 396 in-patients in general wards of hospitals in Alborz province, Iran. Data were analyzed through the SPSS software (v. 22.0) and the results were presented by descriptive and analytical statics at a significance level of less than 0.05. RESULTS: Of 396 patients, (64.65%) were male, (68.9%) were married, and (38.6%) aged more than 54. Moreover, (34.6%) patients were dischargeable. Patients in cardiology wards were more dischargeable. At follow-up assessment, 33.3% of patients had been discharged after 48 hours. There was a significant relationship between patient dischargeability and 48-hour hospitalization status (p=0.001). Dischargeability had no significant relationships with patients’ demographic characteristics (p>0.05). CONCLUSION: A considerable percentage of in-patients are dischargeable during disasters. The Early Discharge Assessment Checklist, developed in this study, is an appropriate tool to provide reliable data about early dischargeability in disasters.
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spelling pubmed-65552102019-06-13 The Feasibility of Increasing Hospital Surge Capacity in Disasters through Early Patient Discharge Feizolahzadeh, Sima Vaezi, Aliakbar Taheriniya, Ali Mirzaei, Masoud Vafaeenasab, Mohammadreza Khorasani-Zavareh, Davoud Bull Emerg Trauma Original Article OBJECTIVE: Hospitals are expected to be able to provide quality services during disasters. However, hospital capacity is limited and most hospital beds are almost always occupied. The aim of this study was to determine the feasibility of increasing hospital surge capacity during disasters through identification of patients suitable for safe early discharge. METHODS: This cross-sectional study was conducted from May 2017 to February 2018 in two phases. In phase I, the Early Discharge Checklist was developed by a multidisciplinary panel of experts. Then in phase II, the checklist was used to assess the dischargeability of 396 in-patients in general wards of hospitals in Alborz province, Iran. Data were analyzed through the SPSS software (v. 22.0) and the results were presented by descriptive and analytical statics at a significance level of less than 0.05. RESULTS: Of 396 patients, (64.65%) were male, (68.9%) were married, and (38.6%) aged more than 54. Moreover, (34.6%) patients were dischargeable. Patients in cardiology wards were more dischargeable. At follow-up assessment, 33.3% of patients had been discharged after 48 hours. There was a significant relationship between patient dischargeability and 48-hour hospitalization status (p=0.001). Dischargeability had no significant relationships with patients’ demographic characteristics (p>0.05). CONCLUSION: A considerable percentage of in-patients are dischargeable during disasters. The Early Discharge Assessment Checklist, developed in this study, is an appropriate tool to provide reliable data about early dischargeability in disasters. Shiraz University of Medical Sciences 2019-04 /pmc/articles/PMC6555210/ /pubmed/31198797 http://dx.doi.org/10.29252/beat-070203 Text en © 2019 Trauma Research Center, Shiraz University of Medical Sciences This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Feizolahzadeh, Sima
Vaezi, Aliakbar
Taheriniya, Ali
Mirzaei, Masoud
Vafaeenasab, Mohammadreza
Khorasani-Zavareh, Davoud
The Feasibility of Increasing Hospital Surge Capacity in Disasters through Early Patient Discharge
title The Feasibility of Increasing Hospital Surge Capacity in Disasters through Early Patient Discharge
title_full The Feasibility of Increasing Hospital Surge Capacity in Disasters through Early Patient Discharge
title_fullStr The Feasibility of Increasing Hospital Surge Capacity in Disasters through Early Patient Discharge
title_full_unstemmed The Feasibility of Increasing Hospital Surge Capacity in Disasters through Early Patient Discharge
title_short The Feasibility of Increasing Hospital Surge Capacity in Disasters through Early Patient Discharge
title_sort feasibility of increasing hospital surge capacity in disasters through early patient discharge
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555210/
https://www.ncbi.nlm.nih.gov/pubmed/31198797
http://dx.doi.org/10.29252/beat-070203
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