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Decreasing boarders in the emergency department by reducing clerical work in the discharge process of in-hospital patients in Brazil – an interrupted time-series analysis

BACKGROUND: Emergency Department (ED) boarding is related to in-hospital patients' discharge since no beds will be available for receiving ED patients if there is a delay for patients in the yard leaving the hospital. New techniques implemented in hospital institutions, such as digital signatur...

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Autores principales: Moroço, Diego Marques, Pazin-Filho, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171467/
https://www.ncbi.nlm.nih.gov/pubmed/35672683
http://dx.doi.org/10.1186/s12873-022-00656-y
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author Moroço, Diego Marques
Pazin-Filho, Antonio
author_facet Moroço, Diego Marques
Pazin-Filho, Antonio
author_sort Moroço, Diego Marques
collection PubMed
description BACKGROUND: Emergency Department (ED) boarding is related to in-hospital patients' discharge since no beds will be available for receiving ED patients if there is a delay for patients in the yard leaving the hospital. New techniques implemented in hospital institutions, such as digital signatures to facilitate clerical work improve these processes. We evaluated the impact of expediting patients' discharge after medical orders with the number of patients with an unplanned hospital admission from the Hospital Out Clinic directed to ED for waiting for an available bed in a public tertiary hospital in Brazil. METHODS: We conducted a quasi-experimental study before and after an intervention. It consisted of an encrypted digital signature to reduce clerical work and expedite the patient's release from the institution after medical discharge. We used an interrupted time-series analysis based on administrative data (number of hospital discharges, bed turnover, the time between medical discharge, and the time the patient effectively left the hospital) from 2011 to 2020. RESULTS: We enrolled 210,496 patients admitted to the hospital from January 2011 to December 2020. Of those, 69,897(33%) composed the group after the intervention. There was no difference between the groups' gender, age distribution, the proportion of surgical patients, or in-hospital stay (≤ 7 or > 7 days). The interrupted time series analysis for the time from medical order to effectively hospital discharge showed an immediate change in level (Coefficient β2 -3.6 h—95% confidence interval -3.9;-3.4), but no a difference in the slope of the behavior of the post-intervention curve (β3 0.0005 coefficient—95% confidence interval -0.0040;0.0050). For the number of patients directed to ED, we observed no immediate change in level (Coefficient β2 -0.84 patients—95% confidence interval -0.33;0.16), but a difference in the slope of the behavior of the post-intervention curve (β3 0.0005 coefficient—95% confidence interval -0.0040;0.0050). CONCLUSION: Reducing clerical work and expediting patient discharge was associated with decreased potential boarders to ED.
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spelling pubmed-91714672022-06-08 Decreasing boarders in the emergency department by reducing clerical work in the discharge process of in-hospital patients in Brazil – an interrupted time-series analysis Moroço, Diego Marques Pazin-Filho, Antonio BMC Emerg Med Research Article BACKGROUND: Emergency Department (ED) boarding is related to in-hospital patients' discharge since no beds will be available for receiving ED patients if there is a delay for patients in the yard leaving the hospital. New techniques implemented in hospital institutions, such as digital signatures to facilitate clerical work improve these processes. We evaluated the impact of expediting patients' discharge after medical orders with the number of patients with an unplanned hospital admission from the Hospital Out Clinic directed to ED for waiting for an available bed in a public tertiary hospital in Brazil. METHODS: We conducted a quasi-experimental study before and after an intervention. It consisted of an encrypted digital signature to reduce clerical work and expedite the patient's release from the institution after medical discharge. We used an interrupted time-series analysis based on administrative data (number of hospital discharges, bed turnover, the time between medical discharge, and the time the patient effectively left the hospital) from 2011 to 2020. RESULTS: We enrolled 210,496 patients admitted to the hospital from January 2011 to December 2020. Of those, 69,897(33%) composed the group after the intervention. There was no difference between the groups' gender, age distribution, the proportion of surgical patients, or in-hospital stay (≤ 7 or > 7 days). The interrupted time series analysis for the time from medical order to effectively hospital discharge showed an immediate change in level (Coefficient β2 -3.6 h—95% confidence interval -3.9;-3.4), but no a difference in the slope of the behavior of the post-intervention curve (β3 0.0005 coefficient—95% confidence interval -0.0040;0.0050). For the number of patients directed to ED, we observed no immediate change in level (Coefficient β2 -0.84 patients—95% confidence interval -0.33;0.16), but a difference in the slope of the behavior of the post-intervention curve (β3 0.0005 coefficient—95% confidence interval -0.0040;0.0050). CONCLUSION: Reducing clerical work and expediting patient discharge was associated with decreased potential boarders to ED. BioMed Central 2022-06-07 /pmc/articles/PMC9171467/ /pubmed/35672683 http://dx.doi.org/10.1186/s12873-022-00656-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Moroço, Diego Marques
Pazin-Filho, Antonio
Decreasing boarders in the emergency department by reducing clerical work in the discharge process of in-hospital patients in Brazil – an interrupted time-series analysis
title Decreasing boarders in the emergency department by reducing clerical work in the discharge process of in-hospital patients in Brazil – an interrupted time-series analysis
title_full Decreasing boarders in the emergency department by reducing clerical work in the discharge process of in-hospital patients in Brazil – an interrupted time-series analysis
title_fullStr Decreasing boarders in the emergency department by reducing clerical work in the discharge process of in-hospital patients in Brazil – an interrupted time-series analysis
title_full_unstemmed Decreasing boarders in the emergency department by reducing clerical work in the discharge process of in-hospital patients in Brazil – an interrupted time-series analysis
title_short Decreasing boarders in the emergency department by reducing clerical work in the discharge process of in-hospital patients in Brazil – an interrupted time-series analysis
title_sort decreasing boarders in the emergency department by reducing clerical work in the discharge process of in-hospital patients in brazil – an interrupted time-series analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171467/
https://www.ncbi.nlm.nih.gov/pubmed/35672683
http://dx.doi.org/10.1186/s12873-022-00656-y
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