陕西省县级疾控中心流行病学队伍现状及对策研究

Objective Investigate the current staffing situation of the disease control teams in county-level disease control centers in Shaanxi Province. Methods Taking 110 county-level disease control centers in Shaanxi Province and 2,186 epidemiological investigation personnel as the subjects, an electronic questionnaire was used to collect basic information and conduct statistical analysis. Results The investigators were mostly female(74.93%), with the highest proportion of females in the northern Shaanxi region, and the difference was statistically significant(P<0.001). There were statistically significant differences in age distribution among different regions, with the highest age in the northern Shaanxi region(P<0.001). The staff permanent staff accounted for 86.9%, and there were significant differences in the number of staff on the payroll among different regions(P<0.001). The educational background was mainly bachelor's degree(66.97%), with the most professionals in public health and preventive medicine(33.12%). There were statistically significant differences in the distribution of educational qualifications among different regions(P<0.001). The professional title grade was mainly at the junior level(40.53%), and the professional title was mainly in public health(34.08%). There were differences in the distribution of professional title grades and specialties among different regions(P<0.001). Only 10.57% had participated in on-site epidemiological training, and there was no significant difference among regions(P=0.453). The personnel in the northern Shaanxi region had the longest working years in the field of epidemiological investigation(P<0.001). Conclusion The county-level epidemic investigation teams in Shaanxi Province suffer from imbalances in gender and age composition, insufficient reserve of senior professional experts, weak professional capabilities at the grassroots level, and incomplete system training. Each of the three regions has its own unique problems, and therefore, it is necessary to adjust the resource allocation based on local conditions and in a dynamic manner.