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目的采用非整秩次秩和比法评价辽阳市麻疹监测系统质量。方法通过国家麻疹监测信息报告管理系统收集2013—2016年辽阳市7个县(市、区)麻疹/风疹排除病例报告发病率、报告后48 h内完整调查率、血标本3 d内送达实验室比例和监测病例血标本采集率等4项指标,采用非整秩次秩和比法综合评价,并依据秩和比估计值(RR)的大小进行排序以评估监测系统质量。结果辽阳市7个县(市、区)的资料经非整秩次秩和比法计算所得线性回归方程为RR=-1.226+0.329 Probit(F=60.874,P<0.001);其拟合的最佳分档可分别将7个县(市、区)分为高、中、低3档(P<0.01);由此确定宏伟区(RR=1.011 2)和白塔区(RR=0.771 0)为高档,辽阳县(RR=0.606 5)和文圣区(RR=0.478 2)为中档,而太子河区(RR=0.359 8)、弓长岭区(RR=0.231 5)和灯塔市(RR=0.067 0)则为低档。结论应用非整秩次秩和比法可客观反映麻疹监测系统运行状况;辽阳市各县(市、区)麻疹监测质量不均衡,应加强分类指导管理。
Objective To evaluate the quality of measles monitoring system in Liaoyang by using the method of non-integer rank rank-sum ratio. Methods The incidence of measles / rubella exclusion cases in 7 counties (cities and districts) in Liaoyang from 2013 to 2016 was collected through a national measles monitoring information report management system. The complete investigation rate within 48 hours after the report was obtained and the blood samples were delivered within 3 days Room ratio and monitoring sample collection rate of four indicators, the use of non-integer rank rank sum ratio method of comprehensive evaluation, and based on the rank sum ratio estimate (R R) size of the order to assess the quality of the monitoring system. Results The linear regression equation of the data of 7 counties (cities and districts) in Liaoyang city was R R = -1.226 + 0.329 Probit (F = 60.874, P <0.001) by non-integer rank rank-sum method. (RR = 1.011 2) and Baita area (R RR = 1.011 2), respectively, for the best sub-file of seven prefectures (cities and districts) (RR = 0.606 5) and Wen Sanqu (RR = 0.478 2) were mid-range, while those in Taizihe (RR = 0.359 8) and Gongchangling (RR = 0.231 5) and Beacon City (RR = 0.067 0). Conclusion The application of non-integer rank-rank rank-ratio method can objectively reflect the operation status of measles monitoring system. The quality of measles monitoring in all counties (cities and districts) in Liaoyang City is not balanced. Classification and guidance management should be strengthened.