Literature DB >> 21921642

The National Trauma Registry as a Canadian spine trauma database: a validation study using an institutional clinical database.

Julio C Furlan1, Michael G Fehlings.   

Abstract

BACKGROUND: Miscoding is a common source of error in population-based registries. Given this, we performed a validation study comparing the Canadian National Trauma Registry (NTR) data based on the 10th Revision of the International Classification of Diseases coding with clinical data from an institutional database.
METHODS: All patients with acute spine trauma who were admitted to Toronto Western Hospital from May 2003 to April 2007 were included. Accuracy, sensitivity and specificity were estimated having chart data abstraction as the gold standard.
RESULTS: There were 92 patients with spine trauma (50 males, 42 females; ages from 16 to 102 years). The use of the NTR as a spine trauma database has an accuracy of 87%, sensitivity of 89.8% and specificity of 25%. If the same database is considered as a spinal cord injury (complete motor injury) database, there will be a decrease in the precision with an accuracy of 32.6%, sensitivity of 81.3% and specificity of 6.7%.
CONCLUSIONS: Our results indicate that the NTR may be relatively more precise when used as a database of spine trauma in comparison with its use as a spinal cord injury database. However, the low specificity suggests that the NTR should be comprehensively validated using data from the other institutions that contribute with data collection for the NTR.
Copyright © 2011 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2011        PMID: 21921642     DOI: 10.1159/000330835

Source DB:  PubMed          Journal:  Neuroepidemiology        ISSN: 0251-5350            Impact factor:   3.282


  3 in total

1.  Death and long-term disability after gun injury: a cohort analysis.

Authors:  Sheharyar Raza; Deva Thiruchelvam; Donald A Redelmeier
Journal:  CMAJ Open       Date:  2020-07-14

2.  Is administratively coded comorbidity and complication data in total joint arthroplasty valid?

Authors:  Kevin J Bozic; Ravi K Bashyal; Shawn G Anthony; Vanessa Chiu; Brandon Shulman; Harry E Rubash
Journal:  Clin Orthop Relat Res       Date:  2013-01       Impact factor: 4.176

3.  Development of an electronic medical record-based algorithm to identify patients with Stevens-Johnson syndrome and toxic epidermal necrolysis in Japan.

Authors:  Toshiki Fukasawa; Hayato Takahashi; Norin Kameyama; Risa Fukuda; Shihori Furuhata; Nanae Tanemura; Masayuki Amagai; Hisashi Urushihara
Journal:  PLoS One       Date:  2019-08-13       Impact factor: 3.240

  3 in total

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