Hospital length of stay prediction tools for all hospital admissions and general medicine populations: systematic review and meta-analysis.

ABSTRACT:

Background

Unwarranted extended length of stay (LOS) increases the risk of hospital-acquired complications, morbidity, and all-cause mortality and needs to be recognized and addressed proactively.

Objective

This systematic review aimed to identify validated prediction variables and methods used in tools that predict the risk of prolonged LOS in all hospital admissions and specifically General Medicine (GenMed) admissions.

Method

LOS prediction tools published since 2010 were identified in five major research databases. The main outcomes were model performance metrics, prediction variables, and level of validation. Meta-analysis was completed for validated models. The risk of bias was assessed using the PROBAST checklist.

Results

Overall, 25 all admission studie

SUBMITTER: Gokhale S 

PROVIDER: S-EPMC10469540 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature