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目的评估安徽省全国疾病监测系统死亡数据质量,为进一步改进数据质量和提高利用提供依据。方法收集安徽省2013~2014年24个全国疾病监测点数据,采用报告及时率、审核及时率、身份证号码填写率、多死因链填写率、粗死亡率、可靠性、根本死因编码准确性等指标评价数据质量。结果 24个国家死因监测点平均报告及时率为76.83%,审核及时率为96.24%,身份证号码填写率为61.85%,多死因链填写率为52.81%,粗死亡率为6.24‰,83.44%死者生前最高诊断单位为县级及以上医疗机构,69.36%死者生前最高诊断依据可靠,常见根本死因编码错误率为3.49%。除审核及时率2014年与2013年差异无统计学意义外,其余所有指标2014年均高于2013年,差异均有统计学意义(P均<0.001)。多死因链填写率、可靠性依据的比例、根本死因编码正确率农村高于城市外,除报告及时率皖中高于皖南和皖北,报告及时率和身份证号码填写率新增监测点高于老监测点外,其余所有指标2014年均高于2013年,城市高于农村,皖北高于皖南和皖中,老监测点高于新增监测点,差异均有统计学意义(P均<0.001)。疾病分类上,慢性病的诊断可靠性最高,其次为感染性、母婴及营养缺乏疾病,伤害最低,差异均有统计学意义(P均<0.001)。结论安徽省全国疾病监测系统死因监测数据质量在不断提高,但总体情况不容乐观。应根据差异特点,将重点性督导、培训与常规督导、培训相结合,完善死因监测工作机制,切实提高数据质量。
Objective To evaluate the quality of death data of the national disease surveillance system in Anhui Province and provide the basis for further improvement of data quality and utilization. Methods The data of 24 national disease monitoring stations in Anhui Province from 2013 to 2014 were collected and the reporting accuracy, reporting rate, ID number filling rate, multiple causal link filling rate, crude fatality rate, reliability and basic death cause coding accuracy Indicators evaluate data quality. Results The average reporting time of death monitoring points in 24 countries was 76.83%, the rate of timely examination was 96.24%, the number of ID card was 61.85%, the rate of multiple causal link was 52.81%, the crude mortality rate was 6.24% and 83.44% The highest diagnosis unit before birth was at the county level and above medical institutions, 69.36% of the deceased were diagnosed in their lifetime with the highest diagnostic accuracy, and the common root cause of death coding error rate was 3.49%. Except for the check-in rate in 2014 and 2013, the difference was not statistically significant. All other indicators were higher in 2014 than in 2013, with statistical significance (P <0.001). Multiple causal chain Fill rate, reliability based on the proportion of the root cause of death coding accuracy rate Rural higher than the city, in addition to reporting the timely rate of Wanzhong higher than Wannan and northern Anhui, the report promptly rate and ID card number Fill rate new monitoring point higher than The old monitoring points, all other indicators were higher in 2014 than in 2013, the city is higher than in rural areas, Wanbei higher than in southern Anhui and Anhui, the old monitoring points higher than the new monitoring points, the differences were statistically significant (P < 0.001). Classification of diseases, the diagnosis of chronic diseases, the highest reliability, followed by infectious, maternal and infant and nutritional deficiencies, the least damage, the differences were statistically significant (P <0.001). Conclusion The quality of death monitoring data in the national disease surveillance system in Anhui Province is continuously improving, but the overall situation is not optimistic. According to the characteristics of differences, we should combine key supervision and training with routine supervision and training so as to improve the working mechanism of the cause of death monitoring and effectively improve data quality.