Objective To evaluate the quality of death cause reports in national disease surveillance points (DSP) from 2013 to 2014 of Anhui province, and provide basis for improving the data quality and utilization. Methods Data of death cause in 24 DSP of Anhui province .The quality of death cause repots was analyzed and evaluated by the indicators of timely reporting rate, timely auditing rate, complete rate of ID number, complete rate of chain of multiple death causes, crude death rate, reliability, coding accuracy of basic death cause. Results The total timely reporting rate was 76.83%, timely auditing rate was 96.24%, complete rate of ID number was 61.85%, complete rate of chain of multiple death causes was 52.81%, crude death rate was 6.24‰, 83.44% of the highest diagnostic units were county and above level medical institutions, 69.36% of the highest diagnostic evidence was reliable, and coding error rate of death cause was 3.49%. Except that there was no significant difference in timely auditing rate between 2014 and 2013, the complete rate of chain of multiple death causes, reliability rate of the highest diagnostic evidence, and coding accuracy rate of basic death cause were all higher in urban areas than that in rural areas, timely reporting rate was higher in central Anhui than that in southern and northern Anhui, timely reporting rate and complete rate of ID number were higher among new added DSP sites than that among old ones, there was significant difference in all the other indicators between 2014 and 2013, and all the other indicators were lower in urban areas than that in rural areas, was higher in northern Anhui than that in central and southern Anhui, was higher among old DSP sites than that among new ones(P＜0.001).The reliability of the diagnosis for chronic non-communicable diseases was the highest, followed by infection, maternal and child, and nutritional deficiency disease, and for injury was the lowest. Conclusion The quality of death cause reports in DSP of Anhui province is rising, but the overall situation is not optimistic.According to these differences, targeted supervision and training should be combined with routine supervision and training, and the mechanism of death surveillance should be perfected, so as to improve the quality of data.
Key words
Death Surveillance /
Disease surveillance point /
Quality evaluation
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References
[1] 洪佳冬, 张万方, 余毅.广州市荔湾区2008与2012年死亡监测系统报告质量分析[J].华南预防医学, 2014, 40(1): 72-74.
[2] WHO.疾病和有关健康问题的国际统计分类( 第十次修订本)[M].2 版.北京: 人民卫生出版社, 2010: 89-918.
[3] Mathers CD, Fat DM, Inoue M, et al.Counting the dead and what they died from: an assessment of the global status of cause of death data [J].Bull World Health Organ, 2005, 83(3): 171-177.
[4] 郑艳泽, 王良友, 乔冬菊, 等.台州市2013年死因监测数据质量评价[J].中国预防医学杂志, 2015, 16(3): 237-240.
[5] 许晓君, 许燕君, 蔡秋茂, 等.广东省2005-2012 年医疗机构死因报告质量分析[J].华南预防医学, 2013, 39(3): 27-28.
[6] 李少芳, 范雷, 赵晓静, 等.2013年河南省县及县以上医疗机构报告死亡病例质量评价[J].中国医学创新, 2015, 12 (7): 114-116.
[7] 王娜, 王建英, 王莉莉.2013-2014 年东营市疾病监测系统死亡漏报调查[J].中国慢性病预防与控制, 2015, 23(10): 796-798.
[8] 王宇.中国死因监测数据集2013[M].北京: 科学普及出版社, 2015: 14.
[9] 赵军, 朱丽萍, 吉路, 等.2012-2013年江西省死因监测结果分析[J].中国卫生统计, 2015, 32(4): 653-654.
[10] 王宇, 梁晓峰.2012年全国死因监测报告[M].北京: 中国疾病预防控制中心慢性非传染性疾病预防控制中心, 2014.
[11] 鲍慧芬, 孟武, 朱君君, 等.芜湖市2012年死亡病例报告质量分析[J].中国预防医学杂志, 2013, 14(8): 604-607.
[12] 周脉耕, 王玉英, 葛辉, 等.中国2004年县及县以上医疗机构死亡病例报告质量评价[J].中华流行病学杂志, 2006, 27 (4): 328-332.
[13] Springer KL,Chou S,Li S,et al.How evolution of mutations conferring drug resistance affects viral dynamics and clinical outcomes of cytomegalovirus-infected hematopoietic cell transplant recipients[J].J Clin Microbiol, 2005, 43(1): 208-213.
[14] Mahapatra P, Shibuya K, Lopez AD, et al.Civil registration systems and vital statistics: successes and missed opportunities [J].Lancet, 2007, 370(9599): 1653-1663.
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