Abstract:
Background: Health professionals’ motivation reflects the interaction between health
professionals and their work environment. It can potentially affect the provision of health
services; however, this important attribute of the workplace climate in public hospitals is not
usually given serious attention to the desired level. For this reason, the authors of this study
have assessed the level of motivation of health professionals and associated factors in public
hospitals of West Amhara, Northwest Ethiopia.
Methods: A facility based cross-sectional study was conducted in eight public hospitals of
West Amhara from June 1 to July 30, 2013. A total of 304 health professionals were included
in this study. The collected data were analyzed using SPSS software version 20. The reliability
of the instrument was assessed through Cronbach’s α. Factor scores were generated for the
items found to represent the scales (eigenvalue greater than one in varimax rotation) used in
the measurement of the variables. The scores were further analyzed using one-way analysis of
variance, t-tests, Pearson’s correlation, and hierarchical multiple linear regression analyses. The
cut-off point for the regression analysis to determine significance was set at β (95% confidence
interval, P0.05).
Results: Mean motivation scores (as the percentage of maximum scale scores) were 58.6% for
the overall motivation score, 71.0% for the conscientiousness scale, 52.8% for the organizational commitment scale, 58.3% for the intrinsic motivation scale, and 64.0% for organizational
burnout scale. Professional category, age, type of the hospital, nonfinancial motivators like
performance evaluation and management, staffing and work schedule, staff development and
promotion, availability of necessary resources, and ease of communication were found to be
strong predictors of health worker motivation. Across the hospitals and professional categories, health workers’ overall level of motivation with absolute level of compensation was not
significantly associated with their overall level of motivation.
Conclusion: The strongest drivers of all motivation dimensions were found to be nonfinancial
human resource management tools, so policy makers and health workforce stake holders should
focus on these tools to alleviate motivation problems.