胡文穗, 刘远, 刘伟, 杨智聪, 周琴. 广东省广州市新型冠状病毒肺炎网络直报信息质量评价[J]. 疾病监测, 2022, 37(4): 507-511. DOI: 10.3784/jbjc.202108060435
引用本文: 胡文穗, 刘远, 刘伟, 杨智聪, 周琴. 广东省广州市新型冠状病毒肺炎网络直报信息质量评价[J]. 疾病监测, 2022, 37(4): 507-511. DOI: 10.3784/jbjc.202108060435
Hu Wensui, Liu Yuan, Liu Wei, Yang Zhicong, Zhou Qin. Information quality evaluation of corona virus disease 2019 direct online reporting in Guangzhou[J]. Disease Surveillance, 2022, 37(4): 507-511. DOI: 10.3784/jbjc.202108060435
Citation: Hu Wensui, Liu Yuan, Liu Wei, Yang Zhicong, Zhou Qin. Information quality evaluation of corona virus disease 2019 direct online reporting in Guangzhou[J]. Disease Surveillance, 2022, 37(4): 507-511. DOI: 10.3784/jbjc.202108060435

广东省广州市新型冠状病毒肺炎网络直报信息质量评价

Information quality evaluation of corona virus disease 2019 direct online reporting in Guangzhou

  • 摘要:
      目的  评价广东省广州市新型冠状病毒肺炎(COVID-19)网络直报质量,总结经验,发现存在问题,分析影响因素,提出改进措施。
      方法   通过中国疾病信息报告管理系统中获取COVID-19报告卡,收集汇总广州市各疾病预防控制中心现场流行病学调查资料, 应用漏报率、迟报率、报告卡填写不完整率、报告卡填写不准确率、报告卡与流行病学调查资料不一致率、重复报告率等评价指标体系,运用SPSS 16.0软件对广州市COVID-19的网络直报质量进行评价。
      结果  COVID-19漏报率为0,迟报率0.05%、报告卡填写不完整率1.62%、报告卡填写不准确率3.97%、报告卡与流行病学调查资料不一致率3.88%,报告卡重复报告率13.25%。
      结论  广州市COVID-19报告时效性良好,报告卡填写质量有待提高,在今后的工作中应针对薄弱环节制定行之有效的措施,并继续完善系统,为及时研判COVID-19疫情发生发展趋势提供重要支撑。

     

    Abstract:
      Objective  To evaluate the quality of direct online reporting of corona virus disease 2019 ( COVID-19), sum up experience, find existing problems, identify influencing factors, and suggest improvement measures to better guide future epidemic information reporting.
      Methods  The COVID-19 reporting cards in Guangzhou were obtained from the China Disease Information Reporting and Management System, and the field epidemiological investigation data of the centers for disease control and prevention at all levels in Guangzhou were collected. The evaluation index system of underreporting, delayed reporting, incomplete reporting, inaccurate reporting, inconsistency between reporting card and epidemiological survey data, and repeated reporting were applied to evaluate the quality of COVID-19 direct online reporting in Guangzhou by using software SPSS 16.0.
      Results  The underreporting rate was 0, the delayed reporting rate was 0.05%, the incomplete rate of reporting card was 1.62%, the inaccurate rate of reporting card was 3.97%, the inconsistent rate of reporting card and epidemiological survey data was 3.88%, and the repeated report rate was 13.25%.
      Conclusion  The timeliness of COVID-19 reporting in Guangzhou was good, but the quality of reporting card needs to be improved. In the future, effective measures should be taken for weak links, and the system needs to be further improved in order to provide important support for timely analysis on the incidence and epidemic trend of COVID-19.

     

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