Influencing factors on the efficiency of county-level centers for disease control and prevention in China via multilevel modeling

VernacularTitle:我国县级疾病预防控制中心效率影响因素的多水平分析
Author: Nana WU ; Chengyue LI ; Min HU ; Xiaohong LI ; Xiaojiao LI ; Liwen JIANG ; Mo HAO
Publication Type:Journal Article
Keywords: Center for disease control and prevention (CDC); Multilevel modeling; Influencing factors; Efficiency
From: Chinese Journal of Health Policy 2015;(5):73-78
CountryChina
Language:Chinese
Abstract: Objective: To examine the influencing factors of the efficiency of county-level centers for disease control and prevention ( CDCs) in China. Methods:458 county-level CDCs were selected based on a systematic sam-pling method. Multilevel modeling was used to analyze the region-level and institution-level influencing factors affect-ing the efficiency of CDCs. Results: It was found that the region ( province) is associated with the efficiency of a CDC. The region-level factor of population density exhibited a significant influence, while the institution-level factors such as the proportion of health technicians, service income and CDC laboratories per capita also had an influence on overall efficiency. Conclusions: Both the region-level and institution-level determinants influence efficiency. Multi-level modeling can help researchers gain a comprehensive understanding of the influencing factors that affect the CDC efficiency.