La Trobe University, Melbourne VIC.
Health Inf Manag. 2013;42(3):12-9. doi: 10.1177/183335831304200301.
This paper describes methods used and results obtained from a study that measured the accuracy of a routinely collected population-based data set. Data on a random sample of births were extracted from the 2003 Victorian Perinatal Data Collection (VPDC) and compared with information in the original medical record. Accuracy was calculated for 111 items related to diverse aspects of maternity and neonatal health and care. Sensitivity, specificity, positive predictive value and negative predictive value were calculated for dichotomous items. Seventynine items were accurate in at least 97% of cases, 45 of them in at least 99% of cases, and accuracy was below 90% for five items. Very high specificities demonstrate that conditions were rarely reported in error. Lower sensitivities indicate that some events that occurred went unreported on the perinatal form. The excellent results for specifi city indicated that the dataset is appropriate for a conservative analysis of relationships between factors. The lower sensitivities could result in true relationships between factors remaining unidentified. Reasons for discrepancies between the VPDC and the original medical record are described.
本文描述了一项研究中使用的方法和获得的结果，该研究旨在衡量一个常规收集的基于人群的数据集的准确性。从 2003 年维多利亚围产期数据收集（VPDC）中提取了随机抽样的分娩数据，并与原始病历中的信息进行了比较。对与产妇和新生儿健康护理的各个方面相关的 111 个项目进行了准确性评估。对二项式项目计算了敏感性、特异性、阳性预测值和阴性预测值。79 个项目在至少 97%的情况下是准确的，其中 45 个在至少 99%的情况下是准确的，而 5 个项目的准确性低于 90%。非常高的特异性表明，情况很少被错误报告。较低的敏感性表明，围产期表格上未报告一些发生的事件。特异性的优异结果表明，该数据集适合对因素之间的关系进行保守分析。较低的敏感性可能导致因素之间的真实关系仍未被识别。描述了 VPDC 与原始病历之间差异的原因。
