Article

In a previous study, individuals from a single Traumatic Brain Injury Model
Systems and trauma center were matched using a novel probabilistic matching
algorithm. The Traumatic Brain Injury Model Systems is a multicenter prospective
cohort study containing more than 14,000 participants with traumatic brain
injury, following them from inpatient rehabilitation to the community over the
remainder of their lifetime.
The National Trauma Databank is the largest
aggregation of trauma data in the United States, including more than 6 million
records. Linking these two databases offers a broad range of opportunities to
explore research questions not otherwise possible. Our objective was to refine
and validate the previous protocol at another independent center. An algorithm
generation and validation data set were created, and potential matches were
blocked by age, sex, and year of injury; total probabilistic weight was
calculated based on of 12 common data fields. Validity metrics were calculated
using a minimum probabilistic weight of 3. The positive predictive value was
98.2% and 97.4% and sensitivity was 74.1% and 76.3%, in the algorithm generation
and validation set, respectively. These metrics were similar to the previous
study. Future work will apply the refined probabilistic matching algorithm to the
Traumatic Brain Injury Model Systems and the National Trauma Databank to generate
a merged data set for clinical traumatic brain injury research use.

Langue : ANGLAIS