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Differentiating properties of occupancy rate and workload to estimate crowding: A Swedish national cross‐sectional study

BACKGROUND: Emergency department (ED) crowding causes increased patient morbidity and mortality. ED occupancy rate (OR; patients by treatment beds) is a common measure of crowding, but the comparability of ORs between EDs is unknown. The objective of this investigation was to investigate differences...

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Autores principales: Wretborn, Jens, Ekelund, Ulf, B. Wilhelms, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769068/
https://www.ncbi.nlm.nih.gov/pubmed/35079734
http://dx.doi.org/10.1002/emp2.12648
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author Wretborn, Jens
Ekelund, Ulf
B. Wilhelms, Daniel
author_facet Wretborn, Jens
Ekelund, Ulf
B. Wilhelms, Daniel
author_sort Wretborn, Jens
collection PubMed
description BACKGROUND: Emergency department (ED) crowding causes increased patient morbidity and mortality. ED occupancy rate (OR; patients by treatment beds) is a common measure of crowding, but the comparability of ORs between EDs is unknown. The objective of this investigation was to investigate differences in ORs between EDs using staff‐perceived workload as reference. METHODS: This was a national cross‐sectional study in Sweden. EDs provided data on census, treatment beds, staffing, and workload (1–6) at 5 time points. A baseline patient turnover was calculated as the average daily census by treatment beds, denoted turnover per treatment bed (TTB), for each ED. A census ratio (CR), current by daily census, was calculated to adjust for differences in the number of treatment beds. RESULTS: Data were returned from 37 (51%) EDs. TTB varied considerably (mean = 4, standard deviation = 1.6; range, 2.1–9.2), and the OR was higher in EDs with TTB >4 compared with ≤4, 0.86 versus 0.43 (0.43; 95% confidence interval [CI], 0.27–0.59), but not workload, 2.75 versus 2.52 (0.23; 95% CI, −0.19 to 0.64). After adjusting for confounders, both TTB (k = −0.3; 95% CI, −0.49 to −0.14) and OR (k = 3.4; 95% CI, 1.76–5.03) affected workload. Correlation with workload was better for CR than for OR (r = 0.75 vs 0.60, respectively). CONCLUSION: OR is affected by patient‐to‐treatment bed ratios that differ significantly between EDs and should be accounted for when measuring crowding. CR is not affected by baseline treatment beds and is a better comparable measure of crowding compared with OR in this national comparator study.
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spelling pubmed-87690682022-01-24 Differentiating properties of occupancy rate and workload to estimate crowding: A Swedish national cross‐sectional study Wretborn, Jens Ekelund, Ulf B. Wilhelms, Daniel J Am Coll Emerg Physicians Open Health Policy BACKGROUND: Emergency department (ED) crowding causes increased patient morbidity and mortality. ED occupancy rate (OR; patients by treatment beds) is a common measure of crowding, but the comparability of ORs between EDs is unknown. The objective of this investigation was to investigate differences in ORs between EDs using staff‐perceived workload as reference. METHODS: This was a national cross‐sectional study in Sweden. EDs provided data on census, treatment beds, staffing, and workload (1–6) at 5 time points. A baseline patient turnover was calculated as the average daily census by treatment beds, denoted turnover per treatment bed (TTB), for each ED. A census ratio (CR), current by daily census, was calculated to adjust for differences in the number of treatment beds. RESULTS: Data were returned from 37 (51%) EDs. TTB varied considerably (mean = 4, standard deviation = 1.6; range, 2.1–9.2), and the OR was higher in EDs with TTB >4 compared with ≤4, 0.86 versus 0.43 (0.43; 95% confidence interval [CI], 0.27–0.59), but not workload, 2.75 versus 2.52 (0.23; 95% CI, −0.19 to 0.64). After adjusting for confounders, both TTB (k = −0.3; 95% CI, −0.49 to −0.14) and OR (k = 3.4; 95% CI, 1.76–5.03) affected workload. Correlation with workload was better for CR than for OR (r = 0.75 vs 0.60, respectively). CONCLUSION: OR is affected by patient‐to‐treatment bed ratios that differ significantly between EDs and should be accounted for when measuring crowding. CR is not affected by baseline treatment beds and is a better comparable measure of crowding compared with OR in this national comparator study. John Wiley and Sons Inc. 2022-01-19 /pmc/articles/PMC8769068/ /pubmed/35079734 http://dx.doi.org/10.1002/emp2.12648 Text en © 2022 The Authors. JACEP Open published by Wiley Periodicals LLC on behalf of American College of Emergency Physicians https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Health Policy
Wretborn, Jens
Ekelund, Ulf
B. Wilhelms, Daniel
Differentiating properties of occupancy rate and workload to estimate crowding: A Swedish national cross‐sectional study
title Differentiating properties of occupancy rate and workload to estimate crowding: A Swedish national cross‐sectional study
title_full Differentiating properties of occupancy rate and workload to estimate crowding: A Swedish national cross‐sectional study
title_fullStr Differentiating properties of occupancy rate and workload to estimate crowding: A Swedish national cross‐sectional study
title_full_unstemmed Differentiating properties of occupancy rate and workload to estimate crowding: A Swedish national cross‐sectional study
title_short Differentiating properties of occupancy rate and workload to estimate crowding: A Swedish national cross‐sectional study
title_sort differentiating properties of occupancy rate and workload to estimate crowding: a swedish national cross‐sectional study
topic Health Policy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769068/
https://www.ncbi.nlm.nih.gov/pubmed/35079734
http://dx.doi.org/10.1002/emp2.12648
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