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.

abstractsObjective 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.