Analysis of health workers' performance through the development of human resources in public health service in indonesia and timor leste. Analyze health worker performance & HR development in Indonesia & Timor Leste public health. Research shows training significantly boosts performance, making well-trained staff 7x more effective. Essential for quality care.
Introduction: To achieve an ideal and satisfactory level of health for the community, it is very important to provide high-quality services provided by health professionals. Therefore, health workers are expected to show high performance. Based on the 2023 Indonesian Health Profile, 11.5% of community health centers have a shortage of health workers, namely doctors. Timor Leste does not yet have higher education in nursing, so the number of nurses needed is still insufficient. Aims: to analyze the influence of health worker performance on human resource development in the Indonesian and Timor Leste Public Health Services. Methods: A study was conducted involving 43 health professionals. The tool used was a survey conducted through Google Forms. This study used chi-square to investigate the correlation between the two variables and logistic regression to identify the parameters most strongly associated with the performance of health workers. Result: The research findings show that in bivariate analysis, training and work motivation have an impact on the performance of health workers. However, in multivariate analysis, training emerged as the most significant component, with a p-value of 0.021, an odds ratio of 7.173, and a 95% confidence interval of 1.338-8.458. Conclusion: The performance of health workers is largely influenced by their level of training. Health workers with superior training showed 7,173 times more effective performance compared to health workers with poor training. Carrying out regular and continuous training, tailored to the health needs of workers, so that they can master their field of work.
This study addresses a highly pertinent issue concerning health worker performance and human resource development within public health services in Indonesia and Timor Leste. The comparative aspect across two nations facing distinct but related challenges in healthcare provision, such as doctor shortages in Indonesia and insufficient nurses in Timor Leste, highlights the critical need for research in this area. The paper aims to identify factors influencing health worker performance, with a specific focus on human resource development initiatives. The use of statistical methods, including chi-square and logistic regression, to analyze the relationship between variables such as training and work motivation with performance, suggests an attempt at robust analysis to derive actionable insights, particularly identifying training as a significant predictor. However, several methodological limitations significantly constrain the generalizability and strength of the findings presented. The study involves a very small sample size of only 43 health professionals, which is inadequate for a comparative study across two countries and diverse professional roles, raising concerns about representativeness. The methodology, relying on a survey conducted via Google Forms, lacks detail on how "performance" and "human resource development" variables (beyond training and motivation) were operationalized and measured, potentially introducing self-report bias and limiting the depth of understanding. Furthermore, there appears to be a slight disconnect between the stated aim – "to analyze the influence of health worker performance on human resource development" – and the presented results and conclusion, which demonstrate the impact of HRD components (training, motivation) *on* health worker performance. While the conclusion that training significantly impacts health worker performance is intuitively sound and merits attention, the substantial odds ratio of 7.173 should be interpreted with extreme caution given the aforementioned small sample size. This finding, though statistically significant, may be an artifact of limited data rather than a widely generalizable effect. For future research, it would be crucial to employ a larger, more diverse, and representative sample to improve external validity. Adopting more objective or triangulated methods for performance assessment, alongside a more detailed exploration of various human resource development components, would provide a more comprehensive and reliable understanding of this complex relationship. Clarifying the causal direction and ensuring alignment between aims, methods, and conclusions would also enhance the study's scientific rigor.
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