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| Construction of a core competency training indicator system for high-level public health talents |
| WANG Zhifan1, GUO Lingling2, JIAN Weiyan1
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1. Department of Health Policy and Management, School of Public Health, Peking University, Beijing 100191, China;
2. Graduate School of Peking University Health Science Center, Beijing 100191, China |
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Abstract Objective To construct a core competency training indicator system for high-level public health talents using the Delphi method, so as to provide insights into optimization of high-level public health talents training. Methods Based on review of publications pertaining to core competency training for high-level public health talents, in combination with public health priorities and development needs in China, a preliminary indicator system was constructed. Twenty public health experts were invited for two rounds of Delphi expert consultation. Indicators were screened based on the frequency of full marks, mean score and coefficient of variation (CV), and the weight of indicators was determined using the Entropy weight method. The effectiveness of the Delphi expert consultation was evaluated using the active degree, authority coefficient and the consistency degree. Results Twenty experts participated in the consultation, including 12 men, and there were 6 experts at ages of 30 to 39 years, 8 at ages of 40 to 49 years, and 6 at ages of 50 years and older. There were 17 experts with an educational level of master and above, 19 with senior professional titles and all experts had working experiences for 10 years and longer. The active degrees were 95.24% and 100.00% for two rounds of consultations, and the overall authority coefficient was 0.87. Following two rounds of consultations, all CVs were reduced to below 0.25, and the coordination coefficients were all statistically significant (P<0.05), with a higher coordination coefficient in the second round of consultation than in the first round. The constructed core competency training indicator system for high-level public health talents included four primary indicators, including health protection, health service improvement, health promotion, and essential quality, with weights of 0.388, 0.310, 0.122 and 0.180, 11 secondary indicators, with high weights seen for protection of human health from threats (0.178), monitoring and assessment of health service utilization (0.157) and promotion of health service quality and access (0.112), and 70 tertiary indicators, with high weights seen for Chinese writing (0.038), capability for health policy suggestions (0.034) and global perspective (0.030). Conclusion The core competency training indicator system for high-level public health talents constructed in this study may provide insights into training of high-level public health talents.
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Received: 10 February 2023
Revised: 04 April 2023
Published: 15 May 2023
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