Abstract:
Diversity management of the workforce has become a critical component of 
improving employee performance in today's complex and multicultural healthcare 
environment. At the Regional Directorate of Health Services (RDHS), Ampara, Sri 
Lanka, this study investigates the relationship between employee performance and 
important diversity management practices, including communication, fair 
performance appraisal, diversity training, and leaders' commitment. Managing a 
diverse workforce is essential for providing high-quality patient care since human 
contact and cultural sensitivity have a significant impact on the effectiveness of the 
healthcare sector. Eighty-five employees chosen by stratified random sampling were 
given a structured questionnaire as part of a quantitative, descriptive-correlational 
study design. The data was assessed using descriptive statistics and Pearson's 
correlation analysis. Employee performance and the independent variables were 
found to have strong and statistically significant positive correlations. Leaders' 
commitment (r = 0.813) and fair performance appraisal (r = 0.808) showed very high 
correlations, while communication (r = 0.510) and diversity training (r = 0.691) 
showed moderate and high correlations, respectively. According to the study's 
findings, good diversity management techniques greatly improve worker 
performance and engagement. Implementing leadership development programs, 
ongoing diversity training, conducting culturally sensitive performance reviews, and 
bolstering internal communication tactics are some of the recommendations made in 
light of the findings. The study adds to the shortage of empirical research on diversity 
management in Sri Lanka's healthcare industry and offers useful suggestions for 
legislators and HR professionals. In order to improve generalizability, further 
research is urged to investigate other diversity dimensions like hiring, promotion, and 
decision-making. Additionally, the study should be replicated in other government 
sectors or larger geographic areas.