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深圳市淋病报告发病率影响因素分析
引用本文:熊明洲,冯铁建,刘爱忠,洪福昌,蓝丽娜,张春来,吴肖冰,文立章. 深圳市淋病报告发病率影响因素分析[J]. 岭南皮肤性病科杂志, 2013, 0(5): 354-358
作者姓名:熊明洲  冯铁建  刘爱忠  洪福昌  蓝丽娜  张春来  吴肖冰  文立章
作者单位:[1]中南大学公共卫生学院,湖南长沙410078 [2]深圳市慢性病防治中心,广东深圳518020
摘    要:目的:分析影响深圳市淋病报告发病率的因素,并评估其影响程度。方法:用按比例分层随机抽样法从全市144家性病网络直报医疗机构中抽取34家作为调查点,将2009年10月1日至2009年lO月31日期间,首次主动前往调查点皮肤性病科、妇产科、泌尿外科门诊寻求性病诊疗服务的就诊者作为研究对象。评价是否检测淋球菌、实验室淋球菌检测能力和是否漏报等环节对淋病报告发病率的影响。结果:2534名就诊者中性病门诊实验室淋球菌漏检率为7.3%,漏诊率为62.3%,误诊率为18.6%。性病门诊检测阳性结果的漏报率为6.2%。性病门诊报告发病数为实际发病数的37.1%。结论:漏检、漏诊、误诊和漏报等因素对淋病报告发病率造成了不同程度的影响,在不考虑其他影响因素的情况下,淋病报告发病率只反应了真实发病率的37.1%。

关 键 词:性病门诊  淋病  报告发病率  影响因素

Analysis of Factors Affecting the Reported Incidence of Gonorrhea in Shenzhen City
XIONG Ming-zhou,FENG Tie-fian,LIU Ai-zhong,HONG Fu-chang,LAN Li-na,ZHANG Chun- lai,WU Xiao-bing,WEN Li-zhang. Analysis of Factors Affecting the Reported Incidence of Gonorrhea in Shenzhen City[J]. Southern China Journal of Dermato-Venereology, 2013, 0(5): 354-358
Authors:XIONG Ming-zhou  FENG Tie-fian  LIU Ai-zhong  HONG Fu-chang  LAN Li-na  ZHANG Chun- lai  WU Xiao-bing  WEN Li-zhang
Affiliation:1. School of Public Health of Central South University, Changsha 410078, China ; 2. Shenzhen Center for Chronic Disease Control, Guangzhou 518020, China)
Abstract:Objective:To investigate the influencing factors of the reported incidence of gonorrhea in Shenzhen City, and to evaluate the degrees of influence. Methods:From October 1, 2009 to October 31, 2009, a total of 2534 patients from Dermatology & STD Department, Obstetrics- Gynecology, and Urology outpatient clinics in 34 hospitals were participated in the study. The untested-rate, undetected-rate, falsepositive rate, non-response rate and adjusted incidence were calculated, and the degrees which they affected the reported incidence of gonorrhea were assessed. Results:The Neisseria gonorrhea untest-rate of patients in clinics was 7.3%. The undetected- rate, falsepositive rate and non-reporting rate were 62. 3% , 18.6% , 6. 2% , respectively. The number of gonorrhea patients reported by clinic doctors only accounted for 37.1% of the real gonorrhea patients in this study. Conclusion:The untested-rate, undetected-rate, false-positive rate and non-response rate all affected the reported incidence of gonorrhea in different degrees. The reported incidence onlv account for 37.1% of the real incidene wilhnut nther influencing factors.
Keywords:STD clinics  Gonorrhea  Reported incidence  Influencing factors
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