Meta Analysis: Analysis of Factors that Influence Turnover Intention among Nurses in Hospitals

Turnover intention refers to an employee's intention to leave their current job and seek new employment within a specific time frame. High turnover of nurses in hospitals can create obstacles in providing services to patients. This study aims to analyze workload, salary and job satisfaction with nurse turnover intention. The data source uses secondary data obtained from previous research online. The data collection procedure uses the Garuda Portal and Scopus which were published in the last 5 years. Data were analyzed using Review Manager 5.4.1. Of the 375 studies obtained according to the inclusion and exclusion criteria, 14 studies were obtained which could be continued into the analysis. The workload variable uses 5 studies, salary 7 studies and job satisfaction 5 studies. The results of data analysis show that there is a relationship between workload and nurse turnover intention with a p value of 0.04, namely p<0.05 and a pooled odds ratio value of 2.36 (95% CI 1.06-5.28). The results of data analysis show that there is a relationship between salary and nurse turnover intention with a p value <0.00001 and a pooled odds ratio value of 0.71 (95% CI 0.64-0.79). The results of data analysis show that there is a relationship between job satisfaction and nurse turnover intention, namely a p value <0.00001 and a pooled odds ratio value of 0.63 (95% CI 0.50-0.78). The findings indicate that workload, salary, and job satisfaction are significantly related to nurses’ turnover intention in hospitals, as evidenced by this meta-analysis study.

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Publication Details

Journal
Jurnal Berkala Kesehatan
Published
2025-06-02
DOI
https://doi.org/10.20527/jbk.v11i1.19192
Primary Topic
Occupational Health and Safety Management
Type
article
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article

Meta Analysis: Analysis of Factors that Influence Turnover Intention among Nurses in Hospitals

Meitria Syahadatina Noor, Syamsul Arifin, Eko Suhartono, Fauzie Rahman et al.
Jurnal Berkala Kesehatan
Occupational Health and Safety Management
article

Meta Analysis: Analysis of Factors that Influence Turnover Intention among Nurses in Hospitals

Meitria Syahadatina Noor, Syamsul Arifin, Eko Suhartono, Fauzie Rahman, Ranindy Qadrinnisa
article en

Abstract

Turnover intention refers to an employee's intention to leave their current job and seek new employment within a specific time frame. High turnover of nurses in hospitals can create obstacles in providing services to patients. This study aims to analyze workload, salary and job satisfaction with nurse turnover intention. The data source uses secondary data obtained from previous research online. The data collection procedure uses the Garuda Portal and Scopus which were published in the last 5 years. Data were analyzed using Review Manager 5.4.1. Of the 375 studies obtained according to the inclusion and exclusion criteria, 14 studies were obtained which could be continued into the analysis. The workload variable uses 5 studies, salary 7 studies and job satisfaction 5 studies. The results of data analysis show that there is a relationship between workload and nurse turnover intention with a p value of 0.04, namely p<0.05 and a pooled odds ratio value of 2.36 (95% CI 1.06-5.28). The results of data analysis show that there is a relationship between salary and nurse turnover intention with a p value <0.00001 and a pooled odds ratio value of 0.71 (95% CI 0.64-0.79). The results of data analysis show that there is a relationship between job satisfaction and nurse turnover intention, namely a p value <0.00001 and a pooled odds ratio value of 0.63 (95% CI 0.50-0.78). The findings indicate that workload, salary, and job satisfaction are significantly related to nurses’ turnover intention in hospitals, as evidenced by this meta-analysis study.

Jurnal Berkala KesehatanVol. 11(1)
Reduced inequalities
Openalex Percentile: Top 79%
Occupational Health and Safety Management
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Meta Analysis: Analysis of Factors that Influence Turnover Intention among Nurses in Hospitals — Meitria Syahadatina Noor, Syamsul Arifin, et al. · Jurnal Berkala Kesehatan (2025) | TGRS Research Map | TGRS