Hospital length of stay: A cross-specialty analysis and Beta-geometric model.

ABSTRACT:

Background

The typical hospital Length of Stay (LOS) distribution is known to be right-skewed, to vary considerably across Diagnosis Related Groups (DRGs), and to contain markedly high values, in significant proportions. These very long stays are often considered outliers, and thin-tailed statistical distributions are assumed. However, resource consumption and planning occur at the level of medical specialty departments covering multiple DRGs, and when considered at this decision-making scale, extreme LOS values represent a significant component of the distribution of LOS (the right tail) that determines many of its statistical properties.

Objective

To build actionable statistical models of LOS for resource planning at the level of healthcare units.

Methods

Through a

SUBMITTER: Dehouche N 

PROVIDER: S-EPMC10343164 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature