Promising solution for standardised length of hospital stay based on time-to-event models and contemporary Australian administrative data.

ABSTRACT:

Objective

Hospital length of stay (LOS) is a key indicator of hospital efficiency and quality of care, but a reliable metric for benchmarking LOS remains problematic. This report describes a time-to-event methodology to generate a hospital standardised LOS ratio (HSLR).

Design

Retrospective observational analysis of LOS from a jurisdictional administrative dataset using a time-to-event (hazard of discharge) analytic approach to generate risk-adjusted LOS (predicted LOS-pLOS), and the HSLR (= (sum observed LOS)/(sum total pLOS)).

Setting

219 (public and private) acute-care hospitals in the State of Victoria, Australia, adult population 5.28 million.

Participants

2.73 million adult multiday separations and 15.53 million bed-days from July 2019 to June 2024.

In

SUBMITTER: Duke GJ 

PROVIDER: S-EPMC12682183 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature