Measuring the Quality of Data Collection in a Large Observational Cohort of HIV and AIDS.
Measuring the Quality of Data Collection in a Large Observational Cohort of HIV and AIDS.
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DOI：
10.2174/1874613601004010096
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发表时间：
2010-05-05
期刊：
影响因子：
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通讯作者：
Smit C
中科院分区：
文献类型：
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作者：
Hillebregt M;de Lange-de Klerk E;Knol D;de Wolf F;Smit C
本研究的目的是通过研究收集的数据的有效性来检查数据收集的质量。数据由38名数据收集者从两名匿名门诊患者的临床图表中提取。确定了收集数据的标准（168项）。有效性是通过将收集到的项目与标准进行比较来衡量的;这样，就可以计算出收集到的项目中“正确”的百分比。临床图表1的“正确”百分比（平均值：83%正确，SD 7%）高于临床图表2（平均值：78%正确，SD 8%）。所有类别都包含错误收集的数据。这些数据分为缺失数据、错误的起止日期和收集的剩余数据。如果“monthyear”被认为是正确的（而不是标准的“daymonthyear”），几乎所有的起止日期都会变成“correct”。并非所有的数据收集者都使用特定的协议，并且并非总是检查书面评论以外的来源。这项研究表明，高比例的数据被正确收集。然而，开始-停止日期的收集不是最佳的，收集的数据包括剩余和缺失数据。数据收集者应更了解艾滋病毒疾病，并接受使用困难协议的培训，以便他们能够更好地认识到应收集哪些数据以及应如何收集数据。在医生之间，应该有更多的协议，什么信息记录在图表中，以促进数据收集器的数据提取。
The aim of this study was to examine the quality of data collection by studying the validity of collected data. Data were extracted from the clinic charts of two anonymous outpatients by 38 data collectors. A standard for the data to be collected was determined (168 items). The validity was measured by comparing the collected items with the standard; in this way, the percentages of the collected items that were ‘correct’ could be calculated. The percentage ‘correct’ was higher for clinic chart 1 (mean: 83% correct, SD 7%) than for clinic chart 2 (mean: 78% correct, SD 8%). All categories contained incorrectly collected data. These data were divided into missing data, incorrect start-stop dates, and surplus collected data. Almost all start-stop dates would change into ‘correct’ if ‘monthyear’ was considered correct (instead of the standard ‘daymonthyear’). Not all data collectors used specific protocols, and sources other than the written comments were not always checked. This study shows that a high proportion of data was correctly collected. However, the collection of start-stop dates was not optimal, and the collected data included surplus and missing data. Data collectors should be more knowledgeable about HIV disease and trained in the use of difficult protocols, so that they can better recognize what data to collect and how it should be collected. Among physicians, there should be more agreement about what information to record in the charts, to facilitate data extraction for data collectors.