ArticleMethods of information in medicine2015
Linked Records of Children with Traumatic Brain Injury. Probabilistic Linkage without Use of Protected Health Information.
Article in Methods of information in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Linking the Virtual Pediatric System and Pediatric Hospital Information System Databases to Create Novel PICU Research Datasets.Critical care explorations · 2026Article
- Review of Clinical Research Informatics.Yearbook of medical informatics · 2020Review
- Data Science for Child Health.The Journal of pediatrics · 2019Review
- Probabilistic record linkage of de-identified research datasets with discrepancies using diagnosis codes.Scientific data · 2019Article
- Hospital Readmissions After Pediatric Trauma.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2018Article
- Functional Outcome After Intracranial Pressure Monitoring for Children With Severe Traumatic Brain Injury.JAMA pediatrics · 2017Article
- Development and Prospective Validation of Tools to Accurately Identify Neurosurgical and Critical Care Events in Children With Traumatic Brain Injury.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2017Observational
- EEG Monitoring and Antiepileptic Drugs in Children with Severe TBI.Neurocritical care · 2017Article
- Seizures in Children With Severe Traumatic Brain Injury.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2017Observational
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectiveRecord 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.
methodsWe 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.
resultsWe 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.
conclusionIn 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.
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