The impact of data quality and source data verification on epidemiologic inference: a practical application using HIV observational data
The impact of data quality and source data verification on epidemiologic inference: a practical application using HIV observational data
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DOI：
10.1186/s12889-019-8105-2
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发表时间：
2019-12-30
影响因子：
4.5
通讯作者：
Duda, Stephany N.
中科院分区：
文献类型：
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作者：
Giganti, Mark J.;Shepherd, Bryan E.;Duda, Stephany N.
背景资料：数据审计通常在完成后不久就进行评价，即使发现系统性问题可能会导致今后进一步改进数据质量。在这项研究中，我们评估的影响，整个数据审计过程中对随后的statistical analysis.Methods：我们进行了现场审计的数据集从9个国际艾滋病护理网站。在随机选择的记录子集中，对关键人口统计学和临床变量的错误率进行量化。根据审计结果，一些研究中心的任务是对高错误率变量进行有针对性的验证，从而生成审计后数据集。我们估计的时间从抗逆转录病毒治疗开始，直到死亡和第一次艾滋病定义事件使用审计前的数据，审计数据，和审计后data.Results：审计前和审计数据（n = 250）之间的总体差异率在所有审计变量为17.1%。与审计前数据相比，审计数据中死亡率和艾滋病定义事件随时间推移的估计概率较高。在审计后和审计前队列中代表的患者（n = 18，999）中，审计后数据中的艾滋病和死亡率估计值也较高。结论：尽管可能独立发生了一些变化，但我们的研究结果表明，审计后数据质量的提高可能会影响流行病学推断。
Background: Data audits are often evaluated soon after completion, even though the identification of systematic issues may lead to additional data quality improvements in the future. In this study, we assess the impact of the entire data audit process on subsequent statistical analyses.Methods: We conducted on-site audits of datasets from nine international HIV care sites. Error rates were quantified for key demographic and clinical variables among a subset of records randomly selected for auditing. Based on audit results, some sites were tasked with targeted validation of high-error-rate variables resulting in a post-audit dataset. We estimated the times from antiretroviral therapy initiation until death and first AIDS-defining event using the pre-audit data, the audit data, and the post-audit data.Results: The overall discrepancy rate between pre-audit and audit data (n = 250) across all audited variables was 17.1%. The estimated probability of mortality and an AIDS-defining event over time was higher in the audited data relative to the pre-audit data. Among patients represented in both the post-audit and pre-audit cohorts (n = 18, 999), AIDS and mortality estimates also were higher in the post-audit data.Conclusion: Though some changes may have occurred independently, our findings suggest that improved data quality following the audit may impact epidemiological inferences.