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 Name | Affiliation | E-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 | |
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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. |
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