文章摘要
后永春,王敏,李晓倩,舒文,成诗明,陈伟,聂绍发,许奕华.中国结核病监测预警指标体系的构建[J].中华流行病学杂志,2012,33(5):505-508
中国结核病监测预警指标体系的构建
Construction of surveillance and early-warning—index-system on tubercnlosis in China
收稿日期:2011-11-23  出版日期:2014-11-03
DOI:
中文关键词: 结核病  监测预警  指标体系  构建
英文关键词: Tuberculosis  Monitoring early-warning  Index system  Establish
基金项目:国家科技重大专项(200SZXl0003-008)
作者单位E-mail
后永春 华中科技大学同济医学院公共卫生学院流行病与卫生统计学系, 武汉 430030  
王敏 华中科技大学同济医学院公共卫生学院流行病与卫生统计学系, 武汉 430030  
李晓倩 华中科技大学同济医学院公共卫生学院流行病与卫生统计学系, 武汉 430030  
舒文 华中科技大学同济医学院公共卫生学院流行病与卫生统计学系, 武汉 430030  
成诗明 中国疾病预防控制中心结核病控制中心  
陈伟 中国疾病预防控制中心结核病控制中心  
聂绍发 华中科技大学同济医学院公共卫生学院流行病与卫生统计学系, 武汉 430030  
许奕华 华中科技大学同济医学院公共卫生学院流行病与卫生统计学系, 武汉 430030 xuyihua_6@.hotmail.com 
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中文摘要:
      目的构建与中国结核病流行特征相适应的监测预警指标体系。方法采用定性和定量研究相结合的方法,首先应用文献研究及专家会议法拟定初始的指标+H8体系框架,然后通过Oelphi法构建预警指标并确定各指标的权重。结果两轮Delphi法咨询专家的积极系数分别为87。 O%、90。O%;专家权威系数的均数分别为O。8505:0。055、0。9174-0。017。专家意见集中程度各指标总得分均数分别为7。 063±1。435、8。156±0。61l;变异系数均数分别为o。352±0。161、0。1704-_0。057;专家意见协调系数分别为0322(x2=499。472,P<0。05)和0。393(x2=241。126,P<0,05)。经过两轮咨询。最终建立包含4个一级指标、9个二级指标、48个三级指标的结核病监测预警指标体系结论初步建立了中国结核病监测预警指标体系,为该病的预测、预警模型的建立提供参考。
英文摘要:
      Objective To establish the surveillance and warning index system corresponding with the epidemic characteristics of tuberculosis,in China.Methods Literature review and expeat meeting were conducted to formulate the preliminary index system frame.Delphi method was used for screening the index and determining the weight of each index.Results Two-round delphi consultations were performed.The activity coecients were 87. O%,90.O%respectively with means of authority coefficient as 0.850±0.055 and0.917±0.017. respectively.Meanscores of the index were 7. 063±1.435. 8.156±0.611 respectively with the means of coefficient of variation as 0.352±0.161 and 0.170±0.057 respectively.The harmony coeffcients were 0.322(x2=499.472,P<0.05)and 0.393 (x2=241.126.P<0.05)respectively.After the two round consultation,the tuberculosis monitoring andwarning index system was developed including 4 first-class indicators,9 second-class indicators and 48 third-class indicators.Conclusion An index system was established for tuberculosis monitoring and early warning that could provide evidence for tuberculosis prevention and conlrol as well as for the forecasting and warning model of the disease.
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