Literature DB >> 23002989

The validity of administrative data to classify patients with spinal column and cord injuries.

Vanessa K Noonan1, Nancy P Thorogood, Matthew Fingas, Juliet Batke, Lise Bélanger, Brian K Kwon, Marcel F Dvorak.   

Abstract

International Classification of Diseases (ICD) codes are used to document patient morbidity in administrative databases. Although administrative data are used for research purposes, the validity of the data to accurately describe clinical diagnostic information is uncertain. We compared the clinical diagnoses for spinal cord and column injuries from a longitudinal patient registry, the Rick Hansen Spinal Cord Injury Registry (RHSCIR), to the ICD-10 spinal injury codes from the Discharge Abstract Database (DAD) at one institution. There were 603 RHSCIR participants with data describing the spinal cord injury, and 341 had data on the spinal column injury. The validity of DAD data to describe spinal injuries was evaluated using the sensitivity and positive predictive values of specific ICD-10 codes; 5.3% of the spinal column injuries and 10.9% of the spinal cord injuries documented in RHSCIR were missed in data from the DAD using ICD-10 codes. The most problematic spinal column ICD-10 code was the dislocation of the cervical vertebra (S13.1); only 14.0% of the dislocations of the cervical vertebrae in RHSCIR were correctly coded in the DAD. The most problematic spinal cord injury ICD-10 code was the incomplete lesion of the lumbar spinal cord (S34.1X); 66.7% of incomplete lesions of the lumbar spinal cord in RHSCIR were correctly coded in the DAD. The validity of DAD data to code spinal injuries is variable, and cannot be reliably used to classify all types of spinal injuries. Patient registries, such as RHSCIR, should be used if accurate detailed diagnostic data are required.

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Year:  2013        PMID: 23002989     DOI: 10.1089/neu.2012.2441

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  10 in total

1.  Complication rate of neurogenic lower urinary tract dysfunction after spinal cord injury in Taiwan.

Authors:  Edward Chia-Cheng Lai; Yea-Huei Kao Yang; Hann-Chorng Kuo
Journal:  Int Urol Nephrol       Date:  2013-12-18       Impact factor: 2.370

2.  Inpatient rehabilitation outcomes in patients with malignant spinal cord compression compared to other non-traumatic spinal cord injury: A population based study.

Authors:  Christian D Fortin; Jennifer Voth; Susan B Jaglal; B Catharine Craven
Journal:  J Spinal Cord Med       Date:  2015-01-23       Impact factor: 1.985

3.  Linking Spinal Cord Injury Data Sets to Describe the Patient Journey Following Injury: A Protocol.

Authors:  Vanessa K Noonan; Susan B Jaglal; Suzanne Humphreys; Shawna Cronin; Zeina Waheed; Nader Fallah; Brian K Kwon; Marcel F Dvorak
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021-01-20

4.  Traumatic Spinal Cord Injury Care in Canada: A Survey of Canadian Centers.

Authors:  Vanessa K Noonan; Elaine Chan; Argelio Santos; Lesley Soril; Rachel Lewis; Anoushka Singh; Christiana L Cheng; Colleen O'Connell; Catherine Truchon; Jérôme Paquet; Sean Christie; Karen Ethans; Eve Tsai; Michael H Ford; Brian Drew; A Gary Linassi; Christopher S Bailey; Michael G Fehlings
Journal:  J Neurotrauma       Date:  2017-05-18       Impact factor: 5.269

5.  Spinal Cord Injury Clinical Registries: Improving Care across the SCI Care Continuum by Identifying Knowledge Gaps.

Authors:  Marcel F Dvorak; Christiana L Cheng; Nader Fallah; Argelio Santos; Derek Atkins; Suzanne Humphreys; Carly S Rivers; Barry A B White; Chester Ho; Henry Ahn; Brian K Kwon; Sean Christie; Vanessa K Noonan
Journal:  J Neurotrauma       Date:  2017-07-26       Impact factor: 5.269

6.  Residential location of people with chronic spinal cord injury: the importance of local health care infrastructure.

Authors:  Elias Ronca; Thekla Brunkert; Hans Georg Koch; Xavier Jordan; Armin Gemperli
Journal:  BMC Health Serv Res       Date:  2018-08-22       Impact factor: 2.655

7.  Labour market attachment after mild traumatic brain injury: nationwide cohort study with 5-year register follow-up in Denmark.

Authors:  Heidi Jeannet Graff; Volkert Siersma; Anne Møller; Jakob Kragstrup; Lars L Andersen; Ingrid Egerod; Hana Malá Rytter
Journal:  BMJ Open       Date:  2019-04-11       Impact factor: 2.692

8.  Premorbid risk factors influencing labour market attachment after mild traumatic brain injury: a national register study with long-term follow-up.

Authors:  Heidi Jeannet Graff; Volkert Siersma; Anne Møller; Jakob Kragstrup; Lars L Andersen; Ingrid Egerod; Hana Malá Rytter
Journal:  BMJ Open       Date:  2019-04-11       Impact factor: 2.692

9.  Identifying cases of spinal cord injury or disease in a primary care electronic medical record database.

Authors:  John Shepherd; Karen Tu; Jacqueline Young; Jawad Chishtie; B Catharine Craven; Rahim Moineddin; Susan Jaglal
Journal:  J Spinal Cord Med       Date:  2021       Impact factor: 1.985

10.  Tissue bridges predict recovery after traumatic and ischemic thoracic spinal cord injury.

Authors:  Dario Pfyffer; Eveline Huber; Reto Sutter; Armin Curt; Patrick Freund
Journal:  Neurology       Date:  2019-09-20       Impact factor: 9.910

  10 in total

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