文章摘要
黄少芬,朱瑶,林修全,陈铁晖,叶莺,钟文玲,林曙光,殷鹏.应用倾向性评分加权法估计2012-2014年福建省疾病监测系统死亡病例漏报率[J].中华流行病学杂志,2016,37(11):1476-1479
应用倾向性评分加权法估计2012-2014年福建省疾病监测系统死亡病例漏报率
Estimation of underreporting rate of death cases in disease surveillance system of Fujian province using propensity score weighting method, 2012-2014
收稿日期:2016-05-16  出版日期:2016-11-10
DOI:10.3760/cma.j.issn.0254-6450.2016.11.009
中文关键词: 死亡率  漏报率  监测  倾向性评分
英文关键词: Mortality  Under-reporting rate  Surveillance  Propensity scores
基金项目:
作者单位E-mail
黄少芬 350001 福州, 福建省疾病预防控制中心慢性非传染性疾病防治科  
朱瑶 350001 福州, 福建省疾病预防控制中心慢性非传染性疾病防治科  
林修全 350001 福州, 福建省疾病预防控制中心慢性非传染性疾病防治科  
陈铁晖 350001 福州, 福建省疾病预防控制中心慢性非传染性疾病防治科  
叶莺 350001 福州, 福建省疾病预防控制中心慢性非传染性疾病防治科  
钟文玲 350001 福州, 福建省疾病预防控制中心慢性非传染性疾病防治科 mbzwl@163.com 
林曙光 350001 福州, 福建省疾病预防控制中心慢性非传染性疾病防治科  
殷鹏 100050 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  
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中文摘要:
      目的 了解福建省疾病监测系统死亡病例的漏报情况及其影响因素。方法 采用分层整群随机抽样方法,在福建省20个疾病监测点开展2012-2014年死亡病例的漏报调查。采用logistic回归方法对漏报率的影响因素进行分析,应用倾向性评分加权法对不同年份、城乡、性别、年龄别、死因别的漏报率进行计算。结果 经倾向性评分加权调整后,2012-2014年福建省总漏报率为9.21%(95%CI:9.06%~9.39%),农村的漏报率(11.55%,95%CI:11.30%~11.81%)高于城市漏报率(6.64%,95%CI:6.50%~6.78%)。0~14岁人群死亡的漏报率最高(36.29%,95%CI:34.23%~38.67%),≥65岁人群最低(7.91%,95%CI:7.78%~8.03%)。围生期疾病、先天性异常和损伤中毒的漏报率较高。结论 福建省城乡、年龄别和死因别的漏报率不同,倾向性评分加权法可以用于调整福建省人群死亡病例的漏报率。
英文摘要:
      Objective To understand the underreporting of death cases and related factors in disease surveillance system of Fujian province. Methods We carried out a field underreporting survey in 20 disease surveillance sites selected through stratified cluster random sampling during 2012-2014. The related factors of underreporting were analyzed by using logistic regression method. Propensity score weighting method was used to calculate the underreporting rate in different groups classified by year, urban/rural areas, gender, age and death cause variables. Results The overall underreporting rate was 9.21%(95%CI: 9.06%-9.39%) after adjusting by propensity score weighting method. The underreporting rate was higher in rural area (11.55%, 95%CI: 11.30%-11.81%) than in urban area (6.64%, 95%CI: 6.50%-6.78%). The underreporting rate was highest in age group 0-14 years (36.29%, 95%CI: 34.23%-38.67%) and lowest in age group ≥65 years (7.91%, 95%CI:7.78%-8.03%). The underreporting rate was higher in people died of perinatal disease, congenital anomalies and injury. Conclusion The underreporting rates were different between different groups classified by urban/rural areas, age and death cause variables. Propensity score weighting method can be used to adjust underreporting rate of death cases in mortality surveillance in Fujian.
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