Literature DB >> 16175815

Validity of administrative data for characterizing traumatic brain injury-related hospitalizations.

Andrew D Shore1, Melissa L McCarthy, Tracey Serpi, Melanie Gertner.   

Abstract

PRIMARY
OBJECTIVE: To examine the validity of Maryland Hospital Discharge (MHD) data for identifying and characterizing traumatic brain injury (TBI)-related hospitalizations.
METHODS: All TBI-related hospitalizations in 1999 were identified using MHD and Maryland Trauma Registry (MTR) data. In addition, a sample of records were abstracted to compare agreement between MHD and chart data.
RESULTS: The MHD file identified fewer TBI cases (61%) compared to the MTR (95%). Overall, TBI-related hospitalization rates based on MHD were significantly fewer (95; 95% CI 92, 98) vs MHD and MTR (144; 95% CI 140, 147). There was good agreement between the MHD and chart data regarding skull fractures or intracranial lesions (kappa = 0.73 and 0.83, respectively), but poor agreement for neurologic abnormalities or amnesia. The MHD significantly underestimated TBI severity.
CONCLUSIONS: TBI cases, especially mild ones, were under-reported by MHD data. MHD data are better at detecting anatomic injuries compared to TBI symptoms and sequella.

Entities:  

Mesh:

Year:  2005        PMID: 16175815     DOI: 10.1080/02699050400013568

Source DB:  PubMed          Journal:  Brain Inj        ISSN: 0269-9052            Impact factor:   2.311


  14 in total

Review 1.  Recommendations for optimal ICD codes to study neurologic conditions: a systematic review.

Authors:  Christine St Germaine-Smith; Amy Metcalfe; Tamara Pringsheim; Jodie Irene Roberts; Cynthia A Beck; Brenda R Hemmelgarn; Jane McChesney; Hude Quan; Nathalie Jette
Journal:  Neurology       Date:  2012-08-22       Impact factor: 9.910

2.  Validation of ICD-10-CM surveillance codes for traumatic brain injury inpatient hospitalizations.

Authors:  James Warwick; Svetla Slavova; Joshua Bush; Julia Costich
Journal:  Brain Inj       Date:  2020-12-06       Impact factor: 2.311

3.  Surveillance of concussion-related injuries using electronic medical records from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN): a proof-of-concept.

Authors:  Felix Bang; Behrouz Ehsani; Steven McFaull; Vicky C Chang; John Queenan; Richard Birtwhistle; Minh T Do
Journal:  Can J Public Health       Date:  2019-11-20

4.  Risk of suicide after a concussion.

Authors:  Michael Fralick; Deva Thiruchelvam; Homer C Tien; Donald A Redelmeier
Journal:  CMAJ       Date:  2016-02-08       Impact factor: 8.262

5.  Traumatic Injury of Major Cerebral Venous Sinuses Associated with Traumatic Brain Injury or Head and Neck Trauma: Analysis of National Trauma Data Bank.

Authors:  Adnan I Qureshi; Sindhu Sahito; Jahanzeb Liaqat; Premkumar Nattanmai Chandrasekaran; Farhan Siddiq
Journal:  J Vasc Interv Neurol       Date:  2020-01

6.  Trends in epidemiology and hospitalization utilization for myelomeningocele repair from 2000 to 2009.

Authors:  Dominic A Harris; Jacob Cherian; Melissa LoPresti; Andrew Jea; Sandi Lam
Journal:  Childs Nerv Syst       Date:  2016-04-25       Impact factor: 1.475

7.  Severity and predictors of head injury due to bicycle accidents in Western Australia.

Authors:  Dominik Baschera; Adam Lawless; Robin Roeters; Christian W S Frysch; René Zellweger
Journal:  Acta Neurochir (Wien)       Date:  2020-10-28       Impact factor: 2.216

8.  Factors associated with discharge destination from acute care after acquired brain injury in Ontario, Canada.

Authors:  Amy Y Chen; Brandon Zagorski; Daria Parsons; Rika Vander Laan; Vincy Chan; Angela Colantonio
Journal:  BMC Neurol       Date:  2012-03-24       Impact factor: 2.474

9.  Children and youth with 'unspecified injury to the head': implications for traumatic brain injury research and surveillance.

Authors:  Vincy Chan; Robert E Mann; Jason D Pole; Angela Colantonio
Journal:  Emerg Themes Epidemiol       Date:  2015-06-25

10.  The association between hospitalisation for childhood head injury and academic performance: evidence from a population e-cohort study.

Authors:  Belinda J Gabbe; Caroline Brooks; Joanne C Demmler; Steven Macey; Melanie A Hyatt; Ronan A Lyons
Journal:  J Epidemiol Community Health       Date:  2014-01-13       Impact factor: 3.710

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