Do Midnight Censuses Accurately Portray Hospital Bed Occupancy?


Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
24 Sep 2024
Historique:
medline: 25 9 2024
pubmed: 25 9 2024
entrez: 25 9 2024
Statut: ppublish

Résumé

Hospital bed occupancy serves as an important indicator of healthcare system efficiency, directly impacting patient care quality and staff workload. This study delves into the efficacy of midnight census, a conventional method for assessing bed occupancy, in supporting hospital operational planning. Historically, the midnight census has been utilised to gauge bed occupancy; however, its reliability is debated due to fluctuations throughout the day. This paper presents an analysis of 5.5 years of patient flow data from one of the hospitals in Queensland, Australia, scrutinising the statistical associations between different occupancy levels, e.g., midnight, peak, average, and minimum. The findings shed light on the efficacy of the midnight census and suggest the adoption of an hourly-based occupancy rate for more accurate capacity planning and management.

Identifiants

pubmed: 39320178
pii: SHTI240888
doi: 10.3233/SHTI240888
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

36-41

Auteurs

Vahid Riahi (V)

Australian e-Health Research Centre, CSIRO, Australia.

Justin Boyle (J)

Australian e-Health Research Centre, CSIRO, Australia.

Hamed Hassanzadeh (H)

Australian e-Health Research Centre, CSIRO, Australia.

Jin Yoon (J)

Australian e-Health Research Centre, CSIRO, Australia.

Ibrahima Diouf (I)

Australian e-Health Research Centre, CSIRO, Australia.

Sankalp Khanna (S)

Australian e-Health Research Centre, CSIRO, Australia.

Mahnaz Samadbeik (M)

Queensland Digital Health Centre, The University of Queensland, Australia.

Clair Sullivan (C)

Queensland Digital Health Centre, The University of Queensland, Australia.

Emma Bosley (E)

Queensland Ambulance Service, Australia.

Andrew Staib (A)

Metro South Hospital and Health Service, Queensland Health, Australia.

James Lind (J)

Gold Coast Hospital and Health Service, Queensland Health, Australia.

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Classifications MeSH