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Quality of care and outcomes in internal medicine patients bedspaced to noninternal medicine units

Hospital overcrowding has led to a practice known as bedspacing (in which admitted patients are placed on a different specialty's inpatient ward), yet little is known about the impact of this practice on healthcare quality. We investigated whether hospital outcome measures differ between bedspa...

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Autores principales: Bogler, Orly, Liu, Jessica, Cadesky, Ben, Bell, Chaim M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8104304/
https://www.ncbi.nlm.nih.gov/pubmed/33950957
http://dx.doi.org/10.1097/MD.0000000000025737
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author Bogler, Orly
Liu, Jessica
Cadesky, Ben
Bell, Chaim M.
author_facet Bogler, Orly
Liu, Jessica
Cadesky, Ben
Bell, Chaim M.
author_sort Bogler, Orly
collection PubMed
description Hospital overcrowding has led to a practice known as bedspacing (in which admitted patients are placed on a different specialty's inpatient ward), yet little is known about the impact of this practice on healthcare quality. We investigated whether hospital outcome measures differ between bedspaced general internal medicine (GIM) patients vs nonbedspaced patients. Our retrospective study included patients admitted to GIM wards at 2 academic hospitals (2012–2014), comparing bedspaced to nonbedspaced patients, and identifying adverse events from the hospital's Electronic Patient Record. We compared these groups with respect to actual length of stay vs the expected length of stay (% ELOS), which is defined as length of stay (LOS) divided by expected length of stay (ELOS), 30-day readmission, adverse events (falls, medication-related incidents, equipment-related incidents, first treatment related incidents, laboratory-related incidents, and operative/invasive events), and in-hospital mortality. There were 22,519 patients analyzed with 15,985 (71%) discharged from a medical ward and 6534 (29%) discharged from a non-medical ward. Bedspaced patients had shorter lengths of stay (4.1 vs 6.2 days, P < .001) and expected lengths of stay (ELOS) (6.1 vs 6.4 days, P < .001). Bedspaced patients had a lower percentage of ELOS (% ELOS) than nonbedspaced patients (70% vs 91%, P < .001), similar readmission rates (9.8 vs 10.3 events per 100 patients, P = .24), lower in-hospital mortality rates (2.6 vs 3.3 events per 100 patients, P = .003) and fewer adverse events (0.20 vs 0.60 events per 100 patient days, P < .01). Bedspacing of patients is common. Patients who are bedspaced to off-service wards have better outcomes. This may relate to preferential allocation practices.
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spelling pubmed-81043042021-05-10 Quality of care and outcomes in internal medicine patients bedspaced to noninternal medicine units Bogler, Orly Liu, Jessica Cadesky, Ben Bell, Chaim M. Medicine (Baltimore) 5400 Hospital overcrowding has led to a practice known as bedspacing (in which admitted patients are placed on a different specialty's inpatient ward), yet little is known about the impact of this practice on healthcare quality. We investigated whether hospital outcome measures differ between bedspaced general internal medicine (GIM) patients vs nonbedspaced patients. Our retrospective study included patients admitted to GIM wards at 2 academic hospitals (2012–2014), comparing bedspaced to nonbedspaced patients, and identifying adverse events from the hospital's Electronic Patient Record. We compared these groups with respect to actual length of stay vs the expected length of stay (% ELOS), which is defined as length of stay (LOS) divided by expected length of stay (ELOS), 30-day readmission, adverse events (falls, medication-related incidents, equipment-related incidents, first treatment related incidents, laboratory-related incidents, and operative/invasive events), and in-hospital mortality. There were 22,519 patients analyzed with 15,985 (71%) discharged from a medical ward and 6534 (29%) discharged from a non-medical ward. Bedspaced patients had shorter lengths of stay (4.1 vs 6.2 days, P < .001) and expected lengths of stay (ELOS) (6.1 vs 6.4 days, P < .001). Bedspaced patients had a lower percentage of ELOS (% ELOS) than nonbedspaced patients (70% vs 91%, P < .001), similar readmission rates (9.8 vs 10.3 events per 100 patients, P = .24), lower in-hospital mortality rates (2.6 vs 3.3 events per 100 patients, P = .003) and fewer adverse events (0.20 vs 0.60 events per 100 patient days, P < .01). Bedspacing of patients is common. Patients who are bedspaced to off-service wards have better outcomes. This may relate to preferential allocation practices. Lippincott Williams & Wilkins 2021-05-07 /pmc/articles/PMC8104304/ /pubmed/33950957 http://dx.doi.org/10.1097/MD.0000000000025737 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/)
spellingShingle 5400
Bogler, Orly
Liu, Jessica
Cadesky, Ben
Bell, Chaim M.
Quality of care and outcomes in internal medicine patients bedspaced to noninternal medicine units
title Quality of care and outcomes in internal medicine patients bedspaced to noninternal medicine units
title_full Quality of care and outcomes in internal medicine patients bedspaced to noninternal medicine units
title_fullStr Quality of care and outcomes in internal medicine patients bedspaced to noninternal medicine units
title_full_unstemmed Quality of care and outcomes in internal medicine patients bedspaced to noninternal medicine units
title_short Quality of care and outcomes in internal medicine patients bedspaced to noninternal medicine units
title_sort quality of care and outcomes in internal medicine patients bedspaced to noninternal medicine units
topic 5400
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8104304/
https://www.ncbi.nlm.nih.gov/pubmed/33950957
http://dx.doi.org/10.1097/MD.0000000000025737
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