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A Probabilistic Matching Approach to Link De-identified Data from a Trauma Registry and a Traumatic Brain Injury Model System Center
  • Published Date:
    Jan 2017
  • Source:
    Am J Phys Med Rehabil. 96(1):17-24.


Public Access Version Available on: January 01, 2018 information icon
Please check back on the date listed above.
Details:
  • Pubmed ID:
    27088479
  • Pubmed Central ID:
    PMC5065730
  • Description:
    Objective

    There is no civilian TBI database that captures patients in all settings of the care-continuum. The linkage of such databases would yield valuable insight into possible care interventions. Thus, the objective of this article is to describe the creation of an algorithm used to link the Traumatic Brain Injury Model Systems (TBIMS) to trauma data in state and national trauma databases.

    Design

    The TBIMS data from a single center was randomly divided into two sets. One subset was used to generate a probabilistic linking algorithm to link the TBIMS data to the center’s trauma registry. The other subset was used to validate the algorithm. Medical record numbers were obtained and used as unique identifiers to measure the quality of the linkage. Novel methods were used to maximize the positive predictive value (PPV).

    Results

    The algorithm generation subset had 121 patients. It had a sensitivity of 88% and a PPV of 99%. The validation subset consisted of 120 patients, and had a sensitivity of 83% and a PPV of 99%.

    Conclusions

    The probabilistic linkage algorithm can accurately link TBIMS data across systems of trauma care. Future studies can utilize this database to answer meaningful research questions regarding the long-term impact of acute trauma complex on healthcare utilization and recovery across the care-continuum in TBI populations.

  • Document Type:
  • Collection(s):
  • Funding:
    K23 GM093032/GM/NIGMS NIH HHS/United States
    R25 MH054318/MH/NIMH NIH HHS/United States
    U48 DP000041/DP/NCCDPHP CDC HHS/United States
    UL1 TR000005/TR/NCATS NIH HHS/United States
  • Supporting Files:
    No Additional Files
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