The language of healthcare worker emotional exhaustion: A linguistic analysis of longitudinal survey.

ABSTRACT:

Importance

Emotional exhaustion (EE) rates in healthcare workers (HCWs) have reached alarming levels and been linked to worse quality of care. Prior research has shown linguistic characteristics of writing samples can predict mental health disorders. Understanding whether linguistic characteristics are associated with EE could help identify and predict EE.

Objectives

To examine whether linguistic characteristics of HCW writing associate with prior, current, and future EE.

Design setting and participants

A large hospital system in the Mid-West had 11,336 HCWs complete annual quality improvement surveys in 2019, and 10,564 HCWs in 2020. Surveys included a measure of EE, an open-ended comment box, and an anonymous identifier enabling HCW responses to be linked across yea

SUBMITTER: Belz FF 

PROVIDER: S-EPMC9800594 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature