Alsop J C, Langley J D
Injury Prevention Research Unit, Medical School, University of Otago, Dunedin, New Zealand.
Methods Inf Med. 1998 Jan;37(1):32-7.
The aim of this study was to identify first admissions in a public hospital discharge file with the greatest possible accuracy. Computerised data linkage was used to link injury events. This involved the use of "internal" data linkage (unduplication) which, in data linkage terms, is equivalent to matching two identical files. Admission status indicators obtained from deterministic and probabilistic linkages were compared with those obtained from a manual review. Small absolute reductions in error were obtained using a probabilistic linkage over a deterministic linkage. However, these reflected large relative reductions in error. A validity check confirmed initial results and discounted against possible bias due to the subjective nature of the probabilistic linking procedure.
本研究的目的是尽可能准确地识别公立医院出院档案中的首次入院情况。采用计算机化数据链接来关联伤害事件。这涉及使用“内部”数据链接（去重），从数据链接的角度来看，这相当于匹配两个相同的文件。将确定性和概率性链接获得的入院状态指标与人工审核获得的指标进行比较。与确定性链接相比，概率性链接在误差上有小幅的绝对降低。然而，这些反映出误差有大幅的相对降低。有效性检查证实了初步结果，并排除了由于概率性链接程序的主观性可能导致的偏差。
