Muse A G, Mikl J, Smith P F
New York State Department of Health, Albany 12237, USA.
Stat Med. 1995;14(5-7):499-509. doi: 10.1002/sim.4780140511.
Linkage of same-person records across multiple databases relies on high-quality, uniformly available identifying information. These data quality issues become increasingly important when personal names are not available for record linkage. Using deterministic decision criteria, we linked records from two population-based files in the absence of personal names. The sensitivity of anonymous record linkage procedures ranged from 32 to 85 per cent for the two years studied, and the positive predictive value (PPV) ranged from 14 to 99 per cent. Decreasing sensitivity and PPV were primarily attributed to (1) errors in computerized identifying information and (2) the deterministic decision criteria specified for record linkage. An evaluation of the contribution of personal names to the quality of record linkage found no measurable impact.
跨多个数据库的同一人记录的链接依赖于高质量、统一可用的识别信息。当个人姓名不可用于记录链接时,这些数据质量问题变得越来越重要。我们使用确定性决策标准,在没有个人姓名的情况下链接了两个基于人群的文件中的记录。在研究的两年中,匿名记录链接程序的灵敏度在32%至85%之间,阳性预测值(PPV)在14%至99%之间。灵敏度和PPV的下降主要归因于(1)计算机化识别信息中的错误和(2)为记录链接指定的确定性决策标准。对个人姓名对记录链接质量的贡献的评估未发现可衡量的影响。