目的 评估安徽省国家疾病监测点死因数据报告质量,分析存在的问题。方法 采用分层整群随机抽样方法评估安徽省国家死因监测点(DSPs)2013~2017年死因填报质量。结果 2013~2017年安徽省DSPs死因网报个案身份证号、死因链、根本死因及其编码填报年均准确率分别为85.83%、64.14%和82.19%,其中前两项指标准确率均见逐年增高趋势(P＜0.05),第3项指标准确率比2013年提高2.77%。3项指标准确率在新老点和城乡之间的差异逐年缩小。除根本死因及其编码准确率外,新点填报准确率均优于老点;身份证号准确率城市点较优,死因链准确率农村点较优,而根本死因及其编码准确率无城乡差异。死因链上疾病编码缺失或错误、多死因链填报不准确是死因填报中主要的错误类型。结论 2013~2017年安徽省国家疾病监测点死因网报质量不断提升,但仍有进步空间。在强化培训和督导的同时,各级疾控中心要严把审核工作的质量,并定期开展抽审评估工作,及时发现和解决问题。

Objective To evaluate the quality on the network reporting death data in Anhui national disease surveillance points (DSPs), analyze the existing problems. Methods A stratified cluster random sampling method was used to evaluate the quality of the network reporting death data in Anhui DSPs from 2013 to 2017. Results From 2013 to 2017, the average annual accuracy rate of identity card number (ID), the death-causes chain, the basic death cause and code of the network reporting death data in Anhui DSPs was 85.83%,64.14% and 82.19%, respectively. Of them, the accuracy rate of the first two indexes increased year by year (P<0.05), the accuracy rate of the third index in 2017 increased by 2.77% compared with that in 2013.The accuracy rate of the three indexes between new DSPs and old DSPs was shrinking year by year.The same is true between urban and rural areas. With the exception of the accuracy rate of the basic death cause and code, the accuracy rate of other index in new DSPs were better than that of old DSPs. Between urban and rural areas, the accuracy rate of ID in urban areas was higher,the accuracy rate of the death-causes chain in rural areas was higher, and there was no difference on the accuracy rate of the basic death cause and code.The loss or error of disease code in the death-causes chain and the inaccuracy of multiple death-causes chain were the main types of errors in the death-cause reporting. Conclusion From 2013 to 2017, the quality of the network reporting death data in Anhui DSPs is constantly improving, but there is still room for improvement.While strengthening training and supervision,CDC at all levels should strictly control the quality of audit work, and regularly carry out sampling audit work,in order to find and solve problems timely.