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. 2024 Mar 2;24(1):82.
doi: 10.1186/s12883-024-03575-6.

Case identification of non-traumatic brain injury in youth using linked population data

Rebecca F Slykerman  1 , Betony E Clasby  2 , Jimmy Chong  3 , Kathryn Edward  3 , Barry J Milne  4 , Helen Temperton  3 , Hiran Thabrew  5 , Nicholas Bowden  2
Affiliations

Case identification of non-traumatic brain injury in youth using linked population data

Rebecca F Slykerman et al. BMC Neurol. .

Abstract

Background: Population-level administrative data provides a cost-effective means of monitoring health outcomes and service needs of clinical populations. This study aimed to present a method for case identification of non-traumatic brain injury in population-level data and to examine the association with sociodemographic factors.

Methods: An estimated resident population of youth aged 0-24 years was constructed using population-level datasets within the New Zealand Integrated Data Infrastructure. A clinical consensus committee reviewed the International Classification of Diseases Ninth and Tenth Editions codes and Read codes for inclusion in a case definition. Cases were those with at least one non-traumatic brain injury code present in the five years up until 30 June 2018 in one of four databases in the Integrated Data Infrastructure. Rates of non-traumatic brain injury were examined, both including and excluding birth injury codes and across age, sex, ethnicity, and socioeconomic deprivation groups.

Results: Of the 1 579 089 youth aged 0-24 years on 30 June 2018, 8154 (0.52%) were identified as having one of the brain injury codes in the five-years to 30 June 2018. Rates of non-traumatic brain injury were higher in males, children aged 0-4 years, Māori and Pacific young people, and youth living with high levels of social deprivation.

Conclusion: This study presents a comprehensive method for case identification of non-traumatic brain injury using national population-level administrative data.

Keywords: Administrative data; Case identification; Integrated data infrastructure; Non-traumatic brain injury.

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Conflict of interest statement

The authors declare no competing interests.

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