Premium
Work stress, perceived social support, self‐efficacy and burnout among Chinese registered nurses
Author(s) -
Liu Ying,
Aungsuroch Yupin
Publication year - 2019
Publication title -
journal of nursing management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.925
H-Index - 76
eISSN - 1365-2834
pISSN - 0966-0429
DOI - 10.1111/jonm.12828
Subject(s) - burnout , social support , structural equation modeling , self efficacy , stressor , psychology , nursing management , clinical psychology , nursing , applied psychology , social psychology , medicine , statistics , mathematics
Abstract Aims To establish a model and identify structural relationships between Chinese nurses' perceived social support, self‐efficacy, work stress and burnout. Background The prevalence of burnout among nurses tends to be high worldwide. A better understanding of relationships between the study variables can help hospital managers apply effective programmes to reduce burnout. However, no studies have identified the structural relationships between these variables in one model, simultaneously. Methods We conducted a cross‐sectional survey to complete questionnaires from 444 nurses working in three Chinese general tertiary hospitals. The proposed model was examined by structural equation modelling. Results The proposed model was partially supported by empirical data. The total effect of work stress on burnout was large. Both work stress and the perceived social support moderately and directly affected burnout. Work stress also indirectly affected burnout through perceived social support. Work stress directly influenced perceived social support and self‐efficacy. Perceived social support directly affected self‐efficacy. However, self‐efficacy did not directly influence burnout. Conclusions This study validated a model and identified a deep understanding of structural relationships between the selected variables among Chinese nurses. Implications for Nursing Management Apart from reducing work stressors, hospital managers should utilize more social support strategies when designing intervention programmes to reduce burnout.