Literature DB >> 17939387

[Study on the evaluation of underreporting and the quality of death cases reporting system, from medical institutions at county level and above, in 2005].

Li-jun Wang1, Jia-qi Ma, Mai-geng Zhou, Yu-ying Wang, Hui Ge, Gong-huan Yang.   

Abstract

OBJECTIVE: To understand the underreporting on death cases through web-based reporting system from medical institutions at county level and above as well as to evaluate the quality of death cases reporting through the system.
METHODS: A large-scale survey was conducted at 130 medical institutions based on stratified random sampling and to evaluate the underreporting and the quality of death cases reporting from medical institutions through data from survey and reporting system.
RESULTS: In 2005, the total reporting rates were 78.25% at the county level and 37.93% at the institutes. Comparing with the results of 2004, these rates were going down slightly. The eligibility rate of reporting was 79.62%, increased when comparing with results of 2004. The percentage of obvious coding errors among deaths reported by county level and above medical institutions was 24.68%. A total of 5226 death cases were recorded from medical (outpatient and inpatient) sources. An average underreporting rate of 33.07% was found at the selected medical institutions. Statistical difference of underreporting rate was not found at medical institutions at different levels.
CONCLUSION: Since the initiation of the web-based reporting system of death cases at medical institutes from county level and above, the timeliness of data reporting had been increasing remarkably. The system showed irreplaceable advantages. However, there still existed some problems such as the underreporting of death cases,the poor timeliness of reporting, and the poor accuracy of coding. In the meantime, it was noticed that repetitive work existed among medical institutions due to multi-systems, suggesting that it was necessary to establish a national life registration in China.

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Year:  2007        PMID: 17939387

Source DB:  PubMed          Journal:  Zhonghua Liu Xing Bing Xue Za Zhi        ISSN: 0254-6450


  4 in total

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Authors:  Lavanya Vasudevan; Claire Glenton; Nicholas Henschke; Nicola Maayan; John Eyers; Marita S Fønhus; Tigest Tamrat; Garrett L Mehl; Simon Lewin
Journal:  Cochrane Database Syst Rev       Date:  2021-07-16
  4 in total

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