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健康危害因素监测信息系统用户日志数据分析

Utilization of national health risk factors monitoring information system: a user log-based analysis

  • 摘要:
      目的  分析中国疾病预防控制信息系统健康危害因素监测信息系统用户日志数据,为信息系统优化和提升监测数据质量提供技术支持。
      方法   对2018年1月1日 — 2021年12月31日期间产生的522638条日志数据进行清理,分析信息系统运行特征和用户行为特征,明确系统优化措施及检验其对业务数据关键指标填写的改善情况。
      结果   健康危害因素监测信息系统用户访问呈现出上半年高,下半年低的趋势;用户以市级(138715条,占26.5 %)和区县级(253927条,占48.6 %)疾控中心工作人员为主,各级别用户在东、中、西部省份的比例差异具有统计学意义(χ2 = 40.1,P < 0.01)。用户操作以上传和审核为主,但在时间趋势上有不同特点。根据日志分析结果实施系统优化措施,发现人群健康相关数据用户删除修改操作明显减少,关键指标填写率逐年提升。
      结论   信息系统用户日志记录分析可以发现信息系统运行特点,发掘用户行为特征,为优化监测信息系统和提升监测数据质量提供重要的技术支撑和方向。

     

    Abstract:
      Objective  To analyze user log data of a national health risk factors monitoring information system for providing technical support to the optimization and data quality improvement of the system.
      Methods  Totally 522 638 user log records generated from 2018 through 2021 were derived from the health risk factors monitoring system – a subsystem of the China Information System for Disease Control and Prevention. The derived data were cleaned and analyzed to examine characteristics of user access and the operation/improvement of the information system.
      Results  The frequency of user access to the health risk factors monitoring information system was higher in the first half of the year than that in the second half of the year during the 4-year period. The users of the information system were mainly staff of centers for disease control and prevention (CDCs) at municipal-level (26.5% of total access) and district/county-level (48.6%). The frequencies of access to the information system differed significantly among the staff users of CDCs at various administrative levels in provinces in eastern, central and western China (χ2 = 40.1, P < 0.001). Uploading and auditing data were predominant operations for the user access and the ratio of the two operations varied temporally in a year. Log analysis results revealed that user access to the information system for modification and deletion of population health-related data decreased obviously and the completeness of key variables increased yearly after the implementing optimization measures for the system.
      Conclusion  The analysis on user log records of an information system records can explore operation characteristics and user behavior of the information system for operative optimization and data quality improvement of the information system.

     

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