Comprehensive assessment of resources for prevention and control of chronic and non-communicable diseases in China: a cross-sectional study

ObjectiveThis study aims to comprehensively evaluate the resources for prevention and control of chronic and non-communicable diseases (NCDs) in China to provide a reference basis for optimising the resource allocation for prevention and control of NCDs. MethodsChina Chronic Disease and Risk Factor Surveillance sites and National Demonstration Areas for Integrated Chronic and Non-communicable Disease Prevention and Control (NCDDA) were selected as investigation objects. In December 2021, the district (or county) resource allocation for NCD prevention and control was investigated through the NCDDA management information system. According to the index system of NCD prevention and control, 31 indicators of 6 dimensions were collected, and the weighted technique for order preference by similarity to an ideal solution, weighted rank-sum ratio and fuzzy comprehensive evaluation methods were used for comprehensive evaluation of resources for prevention and control of NCDs. ResultsThe 653 districts (or counties) in this study cover 22.96% of China's districts (or counties). The top three weights were full-time staff for NCD prevention and control (0.1066), the amount of funds for NCD prevention and control (0.0967), and the coverage rate of districts (or counties) establishing chronic obstructive pulmonary disease surveillance information system (0.0886). The comprehensive evaluation results for the resources for prevention and control of NCDs by the three methods were basically the same. The results of fuzzy comprehensive evaluation showed that the resource allocation in urban areas (0.9268) was better than that in rural areas (0.3257), the one in eastern region (0.9016) was better than that in central (0.3844) and western regions (0.3868), and the one in NCDDA (0.9625) was better than that in non-NCDDA (0.2901). ConclusionThe resources in China for NCD prevention and control differ among different regions, which should be taken into account in future policymaking and resource allocation.