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Work engagement: the key driver in transforming organizational commitment into enhanced work performance among midwives in Ghana - a structural equation modelling approach

I. Mohammed, Abubakari Wuni, Brenda Abena Nyarko, Mudasir Mohammed Ibrahim, Letitia Chanayireh

2025BMC Health Services Research8 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Midwives play a pivotal role in maternal and child health systems, yet their performance is profoundly shaped by organizational commitment and work engagement. AIM: This study examined the mediating effect of work engagement on the relationship between organizational commitment and work performance among midwives in Ghana. METHOD: An analytical cross-sectional design was employed in this study. Data were collected from 254 midwives using validated scales to assess organizational commitment, work engagement, and work performance. Analyses were conducted using SPSS Statistics and AMOS for structural equation modeling (SEM). RESULTS: Most participants were female (96.9%) and aged 30-39 years (54.3%). Organizational commitment was positively correlated with work engagement (r = 0.125, p < 0.05) and work performance (r = 0.166, p < 0.05). Work engagement also showed a strong positive correlation with work performance (r = 0.662, p < 0.05). Mediation analysis confirmed that work engagement fully mediated the relationship between organizational commitment and work performance (β = 0.078, SE = 0.061, p < 0.001). CONCLUSION: The results of the study highlight the vital role of work engagement as a positive and significant mediator between organizational commitment and work performance among midwives. Investing in strategies that boost midwives' commitment and engagement is essential for strengthening maternal healthcare quality and workforce sustainability.

Topics & Concepts

Work engagementStructural equation modelingMediationOrganizational commitmentWorkforceWork (physics)Employee engagementPsychologyNursingMedicineSocial psychologyPublic relationsSociologyPolitical scienceComputer scienceMachine learningEngineeringSocial scienceMechanical engineeringLawGlobal Maternal and Child HealthWork-Family Balance ChallengesEmployee Performance and Management