Importance of patient bed pathways and length of stay differences in predicting COVID-19 hospital bed occupancy in England.

ABSTRACT:

Background

Predicting bed occupancy for hospitalised patients with COVID-19 requires understanding of length of stay (LoS) in particular bed types. LoS can vary depending on the patient's "bed pathway" - the sequence of transfers of individual patients between bed types during a hospital stay. In this study, we characterise these pathways, and their impact on predicted hospital bed occupancy.

Methods

We obtained data from University College Hospital (UCH) and the ISARIC4C COVID-19 Clinical Information Network (CO-CIN) on hospitalised patients with COVID-19 who required care in general ward or critical care (CC) beds to determine possible bed pathways and LoS. We developed a discrete-time model to examine the implications of using either bed pathways or only average LoS by be

SUBMITTER: Leclerc QJ 

PROVIDER: S-EPMC8188158 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature