Determinants of healthcare worker turnover in intensive care units: A micro-macro multilevel analysis.

ABSTRACT:

Background

High turnover among healthcare workers is an increasingly common phenomenon in hospitals worldwide, especially in intensive care units (ICUs). In addition to the serious financial consequences, this is a major concern for patient care (disrupted continuity of care, decreased quality and safety of care, increased rates of medication errors, …).

Objective

The goal of this article was to understand how the ICU-level nurse turnover rate may be explained from multiple covariates at individual and ICU-level, using data from 526 French registered and auxiliary nurses (RANs).

Methods

A cross-sectional study was conducted in ICUs of Paris-area hospitals in 2013. First, we developed a small extension of a multi-level modeling method proposed in 2007 by Croon and van

SUBMITTER: Daouda OS 

PROVIDER: S-EPMC8121288 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature