Evaluation of surveillance system for population exposed to dog (animal) attack injury in Shenzhen city
CHEN Hao-chuan1,2, KUANG Cui-ping3, XIE Xu4, YE Zhao-jia4, PAN Liang-liang5, CHEN Ai-hong6, LI Han-feng1
1.Futian District Center for Disease Control and Prevention, Shenzhen, Guangdong 518040, China; 2.Shenzhen Field Epidemiology Training Program, Shenzhen, Guangdong 518055,China; 3.Luohu District Center for Disease Control and Prevention, Shenzhen, Guangdong 518020,China; 4.Shenzhen Municipal Center for Disease Control and Prevention, Shenzhen, Guangdong 518055,China; 5.Buji Health Care Center of Longgang District, Shenzhen, Guangdong 518112,China; 6.Pingshan District Center for Disease Control and Prevention,Shenzhen, Guangdong 518118,China
Abstract：Objective To comprehensively evaluate the running status of surveillance system for population exposed to dog (animal) attack injury in Shenzhen city, and to provide a scientific basis for further improving the system, scientifically and rationally monitoring the status of population exposed to dog (animal) attack injury, and preventing and controlling rabies in Shenzhen. Methods According to the guidelines for evaluating public health surveillance systems from the WHO and the US Centers for Disease Control and Prevention, five evaluation indicators, such as system operability, system simplicity, system timeliness, data reliability and monitoring purpose accessibility, were identified. We retrospectively surveyed the timeliness of reports on surveillance of population exposed to dog (animal) attack injury in Shenzhen city in 2017-2018, randomly conducted on-site questionnaire surveys, and interviewed 40 system users from 15 dog (animal) attack injury clinics and 5 CDCs. Results There was a surveillance system for population exposed to dog (animal) attack injury in each CDC and each dog (animal) attack injury clinic in Shenzhen city, with a coverage rate of 100% and a good representativeness. Although there was a slight decline in the timeliness rate in Luohu district, the rates in other districts remained a higher level or showed an increase. Among all the surveyed users, 72.5% thought the system was fast to log in, 80% thought it was easy to understand, 87.5% thought it was easy to use, 75.0% thought the system interface was beautiful and comfortable, 80.0% thought it was convenient to look over the past reports, and 72.5% were overall satisfied with the system. 20.0% of the surveyed users thought the system increased their workload, among which 26.7% from the dog (animal) attack injury clinics thought the system increased their workload, but no users with the above-mentioned point of view were found in the CDCs (P<0.05). 82.5% of the surveyed users thought the system content was easy to complete. 92.5% believed the system content was consistent with the real situation, among which the users with the above-mentioned point of view were significantly higher in the dog (animal) attack injury clinics than in the CDCs (96.7% vs. 80.0%, P<0.05). 95.0% of the surveyed users believed the system could provide basic data for monitoring and analysis. 85.0% believed the system could guide active monitoring, among which the users with the above-mentioned point of view were significantly higher in the dog (animal) attack injury clinics than in the CDCs (96.7% vs. 50.0%, P<0.05). Conclusions The running status of surveillance system for population exposed to dog (animal) attack injury in Shenzhen city is generally well, with high-level indicators regarding representativeness, timeliness, accessibility and data reliability (all > 85%), easy operability (77.9%) and simplicity (81.25%). But there are still some problems existed, especially in the operability and simplicity of the system which need to be further improved.
陈浩川, 旷翠萍, 谢旭, 叶兆嘉, 潘亮亮, 陈爱宏, 李汉锋. 深圳市犬(动物)伤暴露人群监测系统评价[J]. 实用预防医学, 2019, 26(12): 1466-1469.
CHEN Hao-chuan, KUANG Cui-ping, XIE Xu, YE Zhao-jia, PAN Liang-liang, CHEN Ai-hong, LI Han-feng. Evaluation of surveillance system for population exposed to dog (animal) attack injury in Shenzhen city. , 2019, 26(12): 1466-1469.
2019, Vol. 26 
