Validation of a Case Definition for Pediatric Brain Injury Using Administrative Data
| Autor: | Nathalie Jette, Samuel Wiebe, Guanmin Chen, Jane McChesney-Corbeil, Hude Quan, Karen M. Barlow |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Pediatrics
medicine.medical_specialty Adolescent Databases Factual Traumatic brain injury Population Poison control Sensitivity and Specificity Alberta 03 medical and health sciences 0302 clinical medicine International Classification of Diseases Predictive Value of Tests Brain Injuries Traumatic Injury prevention Humans Medicine 030212 general & internal medicine Child education education.field_of_study business.industry Infant Newborn Infant General Medicine Emergency department medicine.disease Confidence interval Neurology Child Preschool Predictive value of tests Cohort Neurology (clinical) business 030217 neurology & neurosurgery |
| Zdroj: | Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 44:161-169 |
| ISSN: | 2057-0155 0317-1671 |
| DOI: | 10.1017/cjn.2016.419 |
| Popis: | Background: Health administrative data are a common population-based data source for traumatic brain injury (TBI) surveillance and research; however, before using these data for surveillance, it is important to develop a validated case definition. The objective of this study was to identify the optimal International Classification of Disease , edition 10 (ICD-10), case definition to ascertain children with TBI in emergency room (ER) or hospital administrative data. We tested multiple case definitions. Methods: Children who visited the ER were identified from the Regional Emergency Department Information System at Alberta Children’s Hospital. Secondary data were collected for children with trauma, musculoskeletal, or central nervous system complaints who visited the ER between October 5, 2005, and June 6, 2007. TBI status was determined based on chart review. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for each case definition. Results: Of 6639 patients, 1343 had a TBI. The best case definition was, “1 hospital or 1 ER encounter coded with an ICD-10 code for TBI in 1 year” (sensitivity 69.8% [95% confidence interval (CI), 67.3-72.2], specificity 96.7% [95% CI, 96.2-97.2], PPV 84.2% [95% CI 82.0-86.3], NPV 92.7% [95% CI, 92.0-93.3]). The nonspecific code S09.9 identified >80% of TBI cases in our study. Conclusions: The optimal ICD-10–based case definition for pediatric TBI in this study is valid and should be considered for future pediatric TBI surveillance studies. However, external validation is recommended before use in other jurisdictions, particularly because it is plausible that a larger proportion of patients in our cohort had milder injuries. |
| Databáze: | OpenAIRE |
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