Assessing the Multidimensional Effect of Supervisor Support on Job Satisfaction among Nurses in Government Hospitals in Kano Metropolis

This study examined the influence of multidimensional supervisor support on job satisfaction among nurses in government hospitals within Kano Metropolis, Nigeria. The growing challenge of low job satisfaction among healthcare professionals, especially nurses, has contributed to high turnover intentions, diminished morale, and declining service quality in public hospitals. Previous studies have predominantly focused on organizational policies and salary structures, with limited attention to the role of direct supervisor support. This study, therefore, addressed this gap by assessing the extent to which emotional support, informational support, instrumental support, and recognition/feedback from supervisors impact nurses’ job satisfaction. A descriptive survey research design was adopted, and data were collected through structured questionnaires administered to 279 nurses selected using stratified random sampling. The collected data were organized, coded, and analyzed using descriptive and inferential statistical techniques. Descriptive statistics summarized demographic characteristics and response patterns on study variables, while Pearson correlation analysis and multiple regression analysis were employed to examine relationships and predictive effects among variables. The results were presented in clear tabular form for ease of interpretation. Findings revealed significant positive relationships between all supervisor support dimensions and job satisfaction. Recognition and feedback emerged as the strongest predictors, followed by emotional and instrumental support, while informational support, though significant, had a comparatively weaker effect. The hypothesis testing confirmed that each support dimension had a statistically significant influence on job satisfaction. Based on these findings, the study recommended the institutionalization of emotional support initiatives, the strengthening of hospital communication systems, timely provision of operational resources, and the implementation of structured recognition and reward programs. Furthermore, demographic-sensitive human resource policies were advised to address the needs of the predominantly young and female nursing workforce in Kano’s public healthcare system. The study concludes that multidimensional supervisor support is crucial for enhancing job satisfaction and workforce stability in the healthcare sector.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-24
DOI
https://doi.org/10.5281/zenodo.15728796
Primary Topic
Nursing education and management
Type
article
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article

Assessing the Multidimensional Effect of Supervisor Support on Job Satisfaction among Nurses in Government Hospitals in Kano Metropolis

Zenodo (CERN European Organization for Nuclear Research)
Nursing education and management
article

Assessing the Multidimensional Effect of Supervisor Support on Job Satisfaction among Nurses in Government Hospitals in Kano Metropolis

article en

Abstract

This study examined the influence of multidimensional supervisor support on job satisfaction among nurses in government hospitals within Kano Metropolis, Nigeria. The growing challenge of low job satisfaction among healthcare professionals, especially nurses, has contributed to high turnover intentions, diminished morale, and declining service quality in public hospitals. Previous studies have predominantly focused on organizational policies and salary structures, with limited attention to the role of direct supervisor support. This study, therefore, addressed this gap by assessing the extent to which emotional support, informational support, instrumental support, and recognition/feedback from supervisors impact nurses’ job satisfaction. A descriptive survey research design was adopted, and data were collected through structured questionnaires administered to 279 nurses selected using stratified random sampling. The collected data were organized, coded, and analyzed using descriptive and inferential statistical techniques. Descriptive statistics summarized demographic characteristics and response patterns on study variables, while Pearson correlation analysis and multiple regression analysis were employed to examine relationships and predictive effects among variables. The results were presented in clear tabular form for ease of interpretation. Findings revealed significant positive relationships between all supervisor support dimensions and job satisfaction. Recognition and feedback emerged as the strongest predictors, followed by emotional and instrumental support, while informational support, though significant, had a comparatively weaker effect. The hypothesis testing confirmed that each support dimension had a statistically significant influence on job satisfaction. Based on these findings, the study recommended the institutionalization of emotional support initiatives, the strengthening of hospital communication systems, timely provision of operational resources, and the implementation of structured recognition and reward programs. Furthermore, demographic-sensitive human resource policies were advised to address the needs of the predominantly young and female nursing workforce in Kano’s public healthcare system. The study concludes that multidimensional supervisor support is crucial for enhancing job satisfaction and workforce stability in the healthcare sector.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 57%
Nursing education and management
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