BACKGROUND In a novel endeavour we aimed to develop a clinically relevant case identification method for use in research about the mental health of children and young people in New Zealand using the Integrated Data Infrastructure (IDI). The IDI is a linked individual-level database containing New Zealand government and survey microdata. METHODS We drew on diagnostic and pharmaceutical information contained within five secondary care service use and medication dispensing datasets to identify probable cases of mental health and related problems. A systematic classification and refinement of codes, including restrictions by age, was undertaken to assign cases into 13 different mental health problem categories. This process was carried out by a panel of eight specialists covering a diverse range of mental health disciplines (a clinical psychologist, four child and adolescent psychiatrists and three academic researchers in child and adolescent mental health). The case identification method was applied to the New Zealand youth estimated resident population for the 2014/15 fiscal year. RESULTS Over 82,000 unique individuals aged 0-24 with at least one specified mental health or related problem were identified using the case identification method for the 2014/15 fiscal year. The most prevalent mental health problem subgroups were emotional problems (31,266 individuals), substance problems (16,314), and disruptive behaviours (13,758). Overall, the pharmaceutical collection was the largest source of case identification data (59,862). CONCLUSION This study demonstrates the value of utilising IDI data for mental health research. Although the method is yet to be fully validated, it moves beyond incidence rates based on single data sources, and provides directions for future use, including further linkage of data to the IDI.

中文翻译：

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使用新西兰综合数据基础结构，对儿童和年轻人的心理健康及相关问题进行案例鉴定。

背景技术在新颖的尝试中，我们旨在开发一种临床相关的病例识别方法，以用于使用集成数据基础结构（IDI）研究新西兰儿童和年轻人的心理健康。IDI是一个链接的个人级别数据库，其中包含新西兰政府和调查微数据。方法我们采用了五个二级保健服务使用和药物分配数据集中包含的诊断和药物信息，以识别可能的精神健康和相关问题的病例。对代码进行了系统的分类和完善，包括年龄限制，将病例分为13种不同的精神健康问题类别。此过程由八位专家组成的小组进行，这些专家涵盖了各种心理健康学科（临床心理学家，四名儿童和青少年精神科医生和三名儿童和青少年心理健康方面的学术研究人员）。案例识别方法适用于2014/15财政年度的新西兰青年估计常住人口。结果使用病例识别方法在2014/15财年识别了82,000多名0-24岁的独特个体，他们至少具有一种特定的精神健康或相关问题。最普遍的心理健康问题亚组是情绪问题（31,266人），物质问题（16,314）和破坏性行为（13,758）。总体而言，药品收集是病例识别数据的最大来源（59,862）。结论本研究证明了利用IDI数据进行心理健康研究的价值。尽管该方法尚未得到充分验证，