Literature DB >> 26021580

Linked Records of Children with Traumatic Brain Injury. Probabilistic Linkage without Use of Protected Health Information.

T D Bennett1, J M Dean, H T Keenan, M H McGlincy, A M Thomas, L J Cook.   

Abstract

OBJECTIVE: Record linkage may create powerful datasets with which investigators can conduct comparative effectiveness studies evaluating the impact of tests or interventions on health. All linkages of health care data files to date have used protected health information (PHI) in their linkage variables. A technique to link datasets without using PHI would be advantageous both to preserve privacy and to increase the number of potential linkages.
METHODS: We applied probabilistic linkage to records of injured children in the National Trauma Data Bank (NTDB, N = 156,357) and the Pediatric Health Information Systems (PHIS, N = 104,049) databases from 2007 to 2010. 49 match variables without PHI were used, many of them administrative variables and indicators for procedures recorded as International Classification of Diseases, 9th revision, Clinical Modification codes. We validated the accuracy of the linkage using identified data from a single center that submits to both databases.
RESULTS: We accurately linked the PHIS and NTDB records for 69% of children with any injury, and 88% of those with severe traumatic brain injury eligible for a study of intervention effectiveness (positive predictive value of 98%, specificity of 99.99%). Accurate linkage was associated with longer lengths of stay, more severe injuries, and multiple injuries.
CONCLUSION: In populations with substantial illness or injury severity, accurate record linkage may be possible in the absence of PHI. This methodology may enable linkages and, in turn, comparative effectiveness studies that would be unlikely or impossible otherwise.

Entities:  

Keywords:  Medical record linkage; brain injuries; pediatrics

Mesh:

Year:  2015        PMID: 26021580      PMCID: PMC4545607          DOI: 10.3414/ME14-01-0093

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  22 in total

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2.  Automatic linkage of vital records.

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4.  Data linkage using probabilistic decision rules: a primer.

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Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2008-11

5.  Linking clinical registry data with administrative data using indirect identifiers: implementation and validation in the congenital heart surgery population.

Authors:  Sara K Pasquali; Jeffrey P Jacobs; Gregory J Shook; Sean M O'Brien; Matthew Hall; Marshall L Jacobs; Karl F Welke; J William Gaynor; Eric D Peterson; Samir S Shah; Jennifer S Li
Journal:  Am Heart J       Date:  2010-12       Impact factor: 4.749

6.  Automatic record hash coding and linkage for epidemiological follow-up data confidentiality.

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7.  Variation in inpatient therapy and diagnostic evaluation of children with Henoch Schönlein purpura.

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8.  Factors associated with variability in outcomes for children hospitalized with urinary tract infection.

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9.  Linking inpatient clinical registry data to Medicare claims data using indirect identifiers.

Authors:  Bradley G Hammill; Adrian F Hernandez; Eric D Peterson; Gregg C Fonarow; Kevin A Schulman; Lesley H Curtis
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10.  Privacy-preserving record linkage using Bloom filters.

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  9 in total

1.  Functional Outcome After Intracranial Pressure Monitoring for Children With Severe Traumatic Brain Injury.

Authors:  Tellen D Bennett; Peter E DeWitt; Tom H Greene; Rajendu Srivastava; Jay Riva-Cambrin; Michael L Nance; Susan L Bratton; Desmond K Runyan; J Michael Dean; Heather T Keenan
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2.  EEG Monitoring and Antiepileptic Drugs in Children with Severe TBI.

Authors:  Christopher M Ruzas; Peter E DeWitt; Kimberly S Bennett; Kevin E Chapman; Nicole Harlaar; Tellen D Bennett
Journal:  Neurocrit Care       Date:  2017-04       Impact factor: 3.210

3.  Development and Prospective Validation of Tools to Accurately Identify Neurosurgical and Critical Care Events in Children With Traumatic Brain Injury.

Authors:  Tellen D Bennett; Peter E DeWitt; Rebecca R Dixon; Cory Kartchner; Yamila Sierra; Diane Ladell; Rajendu Srivastava; Jay Riva-Cambrin; Allison Kempe; Desmond K Runyan; Heather T Keenan; J Michael Dean
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4.  Hospital Readmissions After Pediatric Trauma.

Authors:  Aline B Maddux; Peter E DeWitt; Peter M Mourani; Tellen D Bennett
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Authors:  Kimberly Statler Bennett; Peter E DeWitt; Nicole Harlaar; Tellen D Bennett
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Review 6.  Data Science for Child Health.

Authors:  Tellen D Bennett; Tiffany J Callahan; James A Feinstein; Debashis Ghosh; Saquib A Lakhani; Michael C Spaeder; Stanley J Szefler; Michael G Kahn
Journal:  J Pediatr       Date:  2019-01-25       Impact factor: 4.406

7.  Novel Claims-Based Outcome Phenotypes in Survivors of Pediatric Traumatic Brain Injury.

Authors:  Aline B Maddux; Carter Sevick; Matthew Cox-Martin; Tellen D Bennett
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8.  Probabilistic record linkage of de-identified research datasets with discrepancies using diagnosis codes.

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Review 9.  Review of Clinical Research Informatics.

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  9 in total

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