Wu Jane, Faux Steven G, Harris Ian, Poulos Christopher J, Alexander Tara
St. Vincent's Hospital, New South Wales.
Liverpool Hospital, New South Wales.
Aust N Z J Public Health. 2016 Jun;40(3):245-9. doi: 10.1111/1753-6405.12510. Epub 2016 Mar 30.
Data were extracted from the NSW Trauma Registry for all road trauma admissions for the years 2009-2012 and from Australasian Rehabilitation Outcomes Centre for January 2009 to June 2013. PL was performed using: age; sex; residential postcode; and date of acute discharge = date of admission to rehabilitation. False matches were cases that linked but were not true matches; they were determined by manual review. Reasons for incomplete linkages were explored. The benefits and limitations of the linked study dataset are described.
Of 3,256 road trauma records, 683 were matched to rehabilitation records. Using the field of 'discharge destination' from the trauma records, 265 patients with unmatched records were discharged to inpatient rehabilitation (missed matches). This gave an overall 72% linkage rate (or sensitivity) using PL. There were 16 cases of false matches, giving a specificity of 99%.
It was feasible to use PL to link road trauma and rehabilitation datasets in the absence of identifiers. However, this needed to be combined with careful manual review before the linked dataset could be used to make inferences on trauma rehabilitation outcomes.
PL may be a cost-effective way to capture inpatient rehabilitation outcomes of multi-trauma patients.
1）描述澳大利亚新南威尔士州（NSW）道路创伤与康复记录的概率性关联（PL）。2）确定这些记录关联的准确性。
数据提取自新南威尔士州创伤登记处2009 - 2012年所有道路创伤入院病例，以及澳大利亚康复结局中心2009年1月至2013年6月的数据。使用以下因素进行概率性关联：年龄；性别；居住邮编；急性出院日期 = 康复入院日期。错误匹配是指虽关联但并非真正匹配的病例；通过人工审核确定。探究了不完全关联的原因。描述了关联研究数据集的益处和局限性。
在3256条道路创伤记录中，683条与康复记录相匹配。利用创伤记录中的“出院去向”字段，发现265例未匹配记录的患者被转至住院康复（匹配遗漏）。使用概率性关联得出总体关联率（或敏感度）为72%。有16例假性匹配病例，特异性为99%。
在没有标识符的情况下，使用概率性关联来连接道路创伤和康复数据集是可行的。然而，在使用关联数据集对创伤康复结局进行推断之前，需要结合仔细的人工审核。
概率性关联可能是获取多发伤患者住院康复结局的一种具有成本效益的方法。
