title: Record linkage is feasible with non-identifiable trauma and rehabilitation datasets.
abstract: OBJECTIVE
  1) Describe probabilistic linkage (PL) for road trauma and rehabilitation records in New South Wales (NSW) Australia. 2) Determine the accuracy of linkage for these records.
  
  
  METHODS
  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.
  
  
  RESULTS
  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%.
  
  
  CONCLUSIONS
  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.
  
  
  CONCLUSIONS
  PL may be a cost-effective way to capture inpatient rehabilitation outcomes of multi-trauma patients.
authors.affiliation: St. Vincent's Hospital, New South Wales.
authors.forename: Jane
authors.initials: J
authors.lastname: Wu
authors.affiliation: St. Vincent's Hospital, New South Wales.
authors.forename: Steven G
authors.initials: SG
authors.lastname: Faux
authors.affiliation: Liverpool Hospital, New South Wales.
authors.forename: Ian
authors.initials: I
authors.lastname: Harris
authors.affiliation: School of Public Health and Community Medicine, University of New South Wales.
authors.forename: Christopher J
authors.initials: CJ
authors.lastname: Poulos
authors.affiliation: Australian Health Services Research Institute, University of Wollongong, New South Wales.
authors.forename: Tara
authors.initials: T
authors.lastname: Alexander
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data; D000293:Adolescent; D000328:Adult; D000368:Aged; D015982:Bias; D016208:Databases, Factual; D004812:Epidemiologic Methods; D005260:Female; D006760:Hospitalization; D006801:Humans; D008297:Male; D008498:Medical Record Linkage / Q000379:methods* / Q000592:standards*; D008875:Middle Aged; D009517:New South Wales / Q000453:epidemiology; D012042:Registries; D012046:Rehabilitation / Q000706:statistics & numerical data; D014947:Wounds and Injuries / Q000453:epidemiology*; D055815:Young Adult
keywords: probabilistic linkage; record linkage; rehabilitation; trauma