INTRODUCTION Advancing research and support for neurologically diverse populations requires novel data harmonisation methods that are capable of aligning with contemporary approaches to understanding health and disability. OBJECTIVES We present the International Classification of Functioning, Disability and Health (ICF) as a conceptual framework to support harmonisation of mental health data and present a proof of principle within the Risk and Resilience in Developmental Diversity and Mental Health (R2D2-MH) consortium. METHOD 138 measures from various mental health datasets were linked to the ICF following the WHO's established linking rules. FINDINGS Findings support the notion that the ICF can assist in the harmonisation of mental health data. The high level of shared ICF codes provides indications of where items may be readily harmonised to develop datasets that may align more readily with contemporary approaches to understanding health and disability. Although the linking process necessarily entails an element of subjectivity, the application of established rules can increase rigour and transparency of the harmonisation process. CONCLUSIONS We present the first steps towards data harmonisation in mental health that is compatible with contemporary approaches in psychiatry, being more capable of capturing diversity and aligning with more transdiagnostic and neurodiversity-affirmative ways of understanding data. CLINICAL IMPLICATIONS Our findings show promise, but future work is needed to address quantitative harmonisation. Similarly, issues related to the traditionally 'pathophysiological' frameworks that existing datasets are often embedded in can hinder the full potential of harmonisation based on the ICF.

中文翻译：

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使用国际功能、残疾和健康分类进行心理健康数据协调的概念框架：R2D2-MH 联盟的一个例子。


引言 推进对神经多样性人群的研究和支持需要新颖的数据协调方法，这些方法能够与理解健康和残疾的现代方法保持一致。目标 我们将国际功能、残疾和健康分类 （ICF） 作为一个概念框架，以支持心理健康数据的协调，并在发育多样性和心理健康风险和复原力 （R2D2-MH） 联盟中提出原则证明。方法 按照 WHO 既定的链接规则，将来自各种心理健康数据集的 138 项措施与 ICF 相关联。调查结果 研究结果支持 ICF 可以帮助协调心理健康数据的观点。高水平的共享 ICF 代码提供了指示，表明哪些项目可以很容易地协调以开发数据集，这些数据集可能更容易与理解健康和残疾的当代方法保持一致。尽管链接过程必然包含主观因素，但既定规则的应用可以提高协调过程的严谨性和透明度。结论 我们提出了与当代精神病学方法兼容的心理健康数据协调的第一步，更能够捕捉多样性并与更多跨诊断和神经多样性肯定的理解数据的方式保持一致。临床意义 我们的研究结果显示出希望，但需要未来的工作来解决定量协调问题。同样，与现有数据集通常嵌入的传统“病理生理学”框架相关的问题可能会阻碍基于 ICF 的协调的全部潜力。