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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.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>An estimated resident population of youth aged 0\u201324 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.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Of the 1 579 089 youth aged 0\u201324 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\u20134 years, M\u0101ori and Pacific young people, and youth living with high levels of social deprivation.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>This study presents a comprehensive method for case identification of non-traumatic brain injury using national population-level administrative data.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12883-024-03575-6","type":"journal-article","created":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T04:29:26Z","timestamp":1709353766000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Case identification of non-traumatic brain injury in youth using linked population data"],"prefix":"10.1186","volume":"24","author":[{"given":"Rebecca F","family":"Slykerman","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Betony E","family":"Clasby","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jimmy","family":"Chong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kathryn","family":"Edward","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Barry J","family":"Milne","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Helen","family":"Temperton","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiran","family":"Thabrew","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicholas","family":"Bowden","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,3,2]]},"reference":[{"issue":"4","key":"3575_CR1","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1080\/09602011.2020.1722714","volume":"31","author":"S Camm","year":"2021","unstructured":"Camm S, Porter M, Brooks A, Boulton K, Veloso GC. 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