Abstract
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].Chinese journal of Epidemiology,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
Received:May 16, 2016  
DOI:10.3760/cma.j.issn.0254-6450.2016.11.009
KeyWord: 死亡率  漏报率  监测  倾向性评分
English Key Word: Mortality  Under-reporting rate  Surveillance  Propensity scores
FundProject:
Author NameAffiliationE-mail
Huang Shaofen Department of Chronic and Non-communicable Disease Control and Prevention, Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350001, China  
Zhu Yao Department of Chronic and Non-communicable Disease Control and Prevention, Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350001, China  
Lin Xiuquan Department of Chronic and Non-communicable Disease Control and Prevention, Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350001, China  
Chen Tiehui Department of Chronic and Non-communicable Disease Control and Prevention, Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350001, China  
Ye Ying Department of Chronic and Non-communicable Disease Control and Prevention, Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350001, China  
Zhong Wenling Department of Chronic and Non-communicable Disease Control and Prevention, Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350001, China mbzwl@163.com 
Lin Shuguang Department of Chronic and Non-communicable Disease Control and Prevention, Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350001, China  
Yin Peng National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China  
Hits: 4618
Download times: 2119
Abstract:
      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。
English Abstract:
      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.
View Fulltext   Html FullText     View/Add Comment  Download reader
Close