Relationships between Recognition, Work Environment, and Job Satisfaction in Health Personnel: A Meta-Analysis


Authors

Fitri Rahma Almira
Master’s Program in Public Health, Universitas Sebelas Maret, Indonesia
~ Author
Bhisma Murti
Master’s Program in Public Health, Universitas Sebelas Maret, Indonesia
~ Author

Abstract

Background: The acknowledgment of healthcare professionals' contributions, con­ducive work environments, and job satisfaction are pivotal in ensuring the retention, motivation, and performance of personnel in the healthcare sector. Research suggests that recognition for their efforts, coupled with supportive work environments, may influences job satisfaction among health personnel. This study aimed to quantify the relationships between recognition, work environment, and job satisfaction in health personnel.

Subjects and Method: Meta analysis was conducted using PICO model. Population= health personnels. Intervention= recognition and safe work environment. Compa­rison= without recognition and unsafe work environment. Outcome= job satisfaction. Articles were collected from PubMed, Google Scholar, Science Direct, BMC, and Crossref using the keywords: (recognition OR "work environment") AND "job satis­faction" AND "health workers". Inclusion criteria were cross-sectional studies available in either Indonesian or English. The data were analyzed using RevMan 5.4.

Results: The meta-analysis comprised 19 cross-sectional studies conducted in Pakistan, Ethiopia, and Ghana. Total sample was 176,353 health personnels. Recog­nition (aOR= 2.73; 95% CI= 1.60 to 4.67; p= 0.002) and safe working environments (aOR= 1.45; 95% CI= 0.96 to 2.20; p= 0.008) were significantly increased job satis­faction in health personnels.

Conclusion: Recog­nition and safe working environments increase job satis­faction in health personnels.

Keywords: recognition, work environment, job satisfaction, health workers

How to Cite

Relationships between Recognition, Work Environment, and Job Satisfaction in Health Personnel: A Meta-Analysis. (2024). The International Conference on Public Health Proceeding, 9(1), 84. https://doi.org/10.26911/ICPH11/Management/2024.AB10