Assessing the Accuracy of Physician Self-disclosed PID Reporting: A Comparison of Data from a Physician Survey and Actual PID Case Reports from a State Surveillance System.

Misty Y Pacheco, Alan R Katz
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Abstract

Pelvic inflammatory disease is a state-mandated notifiable disease in Hawai'i. A survey assessing pelvic inflammatory disease (PID) reporting to the Hawai'i Department of Health (HDOH) PID surveillance system, was administered to physicians in Hawai'i in April 2012. To measure the accuracy of self-disclosed PID reporting, data from the survey were compared to HDOH PID surveillance system case reports. Concordance between the two data sources was assessed using Cohen's kappa statistic. We first linked data by physician name. An adjusted kappa was also calculated to minimize prevalence and bias effects. A second analysis linked data according to physician name or practice setting. In the name-based analysis, the HDOH PID surveillance database successfully matched only ten of 118 physicians (8.5%) who self-disclosed reporting a PID case. Only "slight agreement" (k= 0.09, 95% confidence interval [CI]: 0.02-0.16) was demonstrated between the two databases. The prevalence-adjusted, bias-adjusted kappa demonstrated "moderate agreement" (κ=0.53, 95% CI: 0.45-0.60). In the second (name or practice-based setting) analysis, 77 physicians with linkages were found in the HDOH surveillance database, reflecting "moderate agreement" (κ=0.52, 95% CI 0.43, 0.61). Our findings provide evidence that individual physicians are submerging their case reports into group practice/HMO aggregate reports and not reporting individually as legally mandated and hence are compromising PID surveillance quality.

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评估医师自我披露PID报告的准确性:来自医师调查的数据与来自国家监测系统的实际PID病例报告的比较。
盆腔炎是夏威夷州规定的法定传染病。2012年4月,夏威夷对医生进行了一项评估盆腔炎(PID)的调查,该调查向夏威夷卫生部(HDOH)PID监测系统报告。为了衡量自我披露PID报告的准确性,将调查数据与HDOH PID监测系统病例报告进行了比较。使用Cohen的kappa统计量评估两个数据源之间的一致性。我们首先通过医生姓名将数据联系起来。还计算了调整后的kappa,以最大限度地减少患病率和偏倚效应。第二项分析根据医生姓名或执业环境链接数据。在基于姓名的分析中,HDOH PID监测数据库仅成功匹配了118名自称报告PID病例的医生中的10名(8.5%)。两个数据库之间只有“轻微一致”(k=0.09,95%置信区间[CI]:0.02-0.16)。经患病率调整、偏倚调整的κ显示“中度一致”(κ=0.53,95%CI:0.45-0.60)。在第二次(基于名称或实践的设置)分析中,在HDOH监测数据库中发现77名医生存在关联,反映了“适度一致”(κ=0.52,95%CI 0.43,0.61)。我们的研究结果提供了证据,证明个别医生将他们的病例报告淹没在集体实践/HMO汇总报告中,而没有按照法律规定单独报告,因此影响了PID监测质量。
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