Semi-parametric time-to-event modelling of lengths of hospital stays.

ABSTRACT: Length of stay (LOS) is an essential metric for the quality of hospital care. Published works on LOS analysis have primarily focused on skewed LOS distributions and the influences of patient diagnostic characteristics. Few authors have considered the events that terminate a hospital stay: Both successful discharge and death could end a hospital stay but with completely different implications. Modelling the time to the first occurrence of discharge or death obscures the true nature of LOS. In this research, we propose a structure that simultaneously models the probabilities of discharge and death. The model has a flexible formulation that accounts for both additive and multiplicative effects of factors influencing the occurrence of death and discharge. We present asymptotic properties of th

SUBMITTER: Li Y 

PROVIDER: S-EPMC9826400 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature