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TableĀ 1 Types of psychosocial data relevant to precision mental health

From: Achieving Precision Mental Health through Effective Assessment, Monitoring, and Feedback Processes

Data type Description
Personal data Individual-level information that may inform intervention choice/selection (e.g., demographics; diagnoses; cultural variables; motivation to change)
Aims and risks data The focus and expected outcomes of treatment as well as potential risks
Services preference data Client choices/selections at key decision points regarding services
Intervention data Aspects of the services delivered over the course of treatment (e.g., intervention integrity; dose/intensity; duration; timing)
Progress data Movement toward the intended and agreed aims of any intervention, and against identified benchmarks
Mechanisms data The hypothesized link between intervention and outcomes. May be mediators of treatment (e.g., skills development or use, therapeutic alliance, etc.)
Contextual data Factors external to the individual/intervention that moderate or mediate outcomes (e.g., quality and amount of service available; family functioning data)