Relationship between burnout and turnover intention among nurses: a network analysis.

ABSTRACT:

Background

Nurse burnout and turnover intention significantly impact global healthcare systems, especially intensified by the COVID-19 pandemic. This study employs network analysis to explore these phenomena, providing insights into the interdependencies and potential intervention points within the constructs of burnout and turnover intention among nurses.

Methods

A cross-sectional study was conducted with 560 nurses from three tertiary hospitals in Hangzhou, China. Data were collected via online questionnaires, including the Maslach Burnout Inventory-General Survey (MBI-GS) and the Turnover Intention Questionnaire (TIQ). Network analysis was performed using Gaussian graphical models to construct the network model and calculate related metrics.

Results

The network ana

SUBMITTER: Zheng J 

PROVIDER: S-EPMC11657119 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature