TY - JOUR
AU - ISARIC4C Investigators
AU - Leclerc, Quentin J.
AU - Fuller, Naomi M.
AU - Keogh, Ruth H.
AU - Diaz-Ordaz, Karla
PY - 2021
DA - June
TI - Importance of patient bed pathways and length of stay differences in predicting COVID-19 hospital bed occupancy in England
JO - BMC Health Services Research
VL - 21
IS - 1
DO - https://doi.org/10.1186/s12913-021-06509-x
AB - 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.
PB - Springer Nature
UR - https://www.research.ed.ac.uk/en/publications/113b4f50-f366-4812-b254-09a031f71e53
KW - Coronavirus (COVID-19)
ER