Professional quality of life profiles and its associations with turnover intention and life satisfaction among nurses: a prospective longitudinal study.
Humans
Personnel Turnover
/ statistics & numerical data
Quality of Life
/ psychology
Female
Male
Adult
Job Satisfaction
Longitudinal Studies
Personal Satisfaction
Cross-Sectional Studies
Prospective Studies
Middle Aged
Nurses
/ psychology
Burnout, Professional
/ psychology
Nursing Staff, Hospital
/ psychology
China
Surveys and Questionnaires
Intention
Job satisfaction
Latent profile analysis
Life satisfaction
Professional quality of life
Turnover intention
Work engagement
Journal
BMC psychology
ISSN: 2050-7283
Titre abrégé: BMC Psychol
Pays: England
ID NLM: 101627676
Informations de publication
Date de publication:
29 Oct 2024
29 Oct 2024
Historique:
received:
24
01
2024
accepted:
08
10
2024
medline:
30
10
2024
pubmed:
30
10
2024
entrez:
30
10
2024
Statut:
epublish
Résumé
Nursing shortage is a global issue. Turnover intention and life satisfaction are significant predictors of turnover. The specific nature of nursing and stressful work schedules lead to impaired professional quality of life (ProQOL), and existing studies have confirmed the effect of a dimension of ProQOL (such as secondary trauma stress, burnout and compassion satisfaction) on turnover intention and life satisfaction. Yet the heterogeneity of ProQOL across individuals is not known. A lack of research on the relationship between potential ProQOL subgroups and turnover intention and life satisfaction, and the mechanisms underlying this relationship remain understudied. The study aimed to determine different ProQOL profiles, and their cross-sectional and longitudinal effects on turnover intention and life satisfaction, while exploring the mediating roles of job satisfaction and work engagement within the relationship. Data were collected at a tertiary hospital in a northeastern province of China. An online questionnaire was administered twice over the course of six months. 1832 and 900 participates provided cross-sectional and longitudinal data respectively. We used latent profile analysis (LPA) and K-means clustering to identify ProQOL profiles, and used the PROCESS macro program to conduct mediation analysis. The LPA results supported a 4-profile solution, including balanced protection, good quality, traumatic satisfaction and burnout problem. ProQOL profiles directly predicted nurses' current and subsequent turnover intention and life satisfaction. In addition, job satisfaction and work engagement mediated the effects of ProQOL profiles on turnover intention and life satisfaction in cross-sectional sample, and mediated the effects of ProQOL profiles on turnover intention in longitudinal sample. The findings suggest that nurses' ProQOL has distinct categorical characteristics and is strongly associated with turnover intention and life satisfaction. Hospital administrators should implement individualized, join management and interventions according to each profile. Furthermore, more attentions should focus on improving nurses' job satisfaction and work engagement levels to promote good work and life outcomes.
Sections du résumé
BACKGROUND
BACKGROUND
Nursing shortage is a global issue. Turnover intention and life satisfaction are significant predictors of turnover. The specific nature of nursing and stressful work schedules lead to impaired professional quality of life (ProQOL), and existing studies have confirmed the effect of a dimension of ProQOL (such as secondary trauma stress, burnout and compassion satisfaction) on turnover intention and life satisfaction. Yet the heterogeneity of ProQOL across individuals is not known. A lack of research on the relationship between potential ProQOL subgroups and turnover intention and life satisfaction, and the mechanisms underlying this relationship remain understudied. The study aimed to determine different ProQOL profiles, and their cross-sectional and longitudinal effects on turnover intention and life satisfaction, while exploring the mediating roles of job satisfaction and work engagement within the relationship.
METHODS
METHODS
Data were collected at a tertiary hospital in a northeastern province of China. An online questionnaire was administered twice over the course of six months. 1832 and 900 participates provided cross-sectional and longitudinal data respectively. We used latent profile analysis (LPA) and K-means clustering to identify ProQOL profiles, and used the PROCESS macro program to conduct mediation analysis.
RESULTS
RESULTS
The LPA results supported a 4-profile solution, including balanced protection, good quality, traumatic satisfaction and burnout problem. ProQOL profiles directly predicted nurses' current and subsequent turnover intention and life satisfaction. In addition, job satisfaction and work engagement mediated the effects of ProQOL profiles on turnover intention and life satisfaction in cross-sectional sample, and mediated the effects of ProQOL profiles on turnover intention in longitudinal sample.
CONCLUSION
CONCLUSIONS
The findings suggest that nurses' ProQOL has distinct categorical characteristics and is strongly associated with turnover intention and life satisfaction. Hospital administrators should implement individualized, join management and interventions according to each profile. Furthermore, more attentions should focus on improving nurses' job satisfaction and work engagement levels to promote good work and life outcomes.
Identifiants
pubmed: 39472943
doi: 10.1186/s40359-024-02063-3
pii: 10.1186/s40359-024-02063-3
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
603Informations de copyright
© 2024. The Author(s).
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