[Estimation of underreporting rate of death cases in disease surveillance system of Fujian province using propensity score weighting method, 2012-2014]

Zhonghua Liu Xing Bing Xue Za Zhi. 2016 Nov 10;37(11):1476-1479. doi: 10.3760/cma.j.issn.0254-6450.2016.11.009.
[Article in Chinese]

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.

MeSH terms

  • Cause of Death*
  • China
  • Humans
  • Propensity Score
  • Rural Population
  • Urban Population