Dunn S, Bottomley J, Ali A, Walker M
Better Outcomes Registry and Network (BORN Ontario), Ottawa, Ontario, Canada.
Chronic Dis Inj Can. 2011 Dec;32(1):32-42.
This quality assurance project was designed to determine the reliability, completeness and comprehensiveness of the data entered into Niday Perinatal Database.
Quality of the data was measured by comparing data re-abstracted from the patient record to the original data entered into the Niday Perinatal Database. A representative sample of hospitals in Ontario was selected and a random sample of 100 linked mother and newborn charts were audited for each site. A subset of 33 variables (representing 96 data fields) from the Niday dataset was chosen for re-abstraction.
Of the data fields for which Cohen's kappa statistic or intraclass correlation coefficient (ICC) was calculated, 44% showed substantial or almost perfect agreement (beyond chance). However, about 17% showed less than 95% agreement and a kappa or ICC value of less than 60% indicating only slight, fair or moderate agreement (beyond chance).
Recommendations to improve the quality of these data fields are presented.
本质量保证项目旨在确定录入尼代围产期数据库的数据的可靠性、完整性和全面性。
通过将从患者记录中重新提取的数据与录入尼代围产期数据库的原始数据进行比较，来衡量数据质量。选取了安大略省具有代表性的医院样本，并对每个站点随机抽取的100份母婴关联病历进行审核。从尼代数据集中选取了33个变量（代表96个数据字段）的子集进行重新提取。
在计算了科恩kappa统计量或组内相关系数（ICC）的数据字段中，44%显示出高度或几乎完全一致（非偶然）。然而，约17%的数据字段显示一致性低于95%，kappa或ICC值低于60%，表明仅存在轻微、一般或中等程度的一致（非偶然）。
提出了提高这些数据字段质量的建议。
