DSM-5-TR Cross-Cutting Symptom Measure Factor Analysis in 3,101 Psychiatric Patients

Carlene MacMillan analyzed psychometric data from 3,101 psychiatric outpatient patients using the Osmind platform. The study explores the latent structure of the DSM-5-TR Level 1 Cross-Cutting Symptom Measure through exploratory and confirmatory factor analysis. The dataset was last updated on April 10, 2026.

Use Cases

• Factor analysis of psychopathology domains based on DSM-5-TR cross-cutting symptom scores
• Validation of bifactor models for a general psychopathology factor based on the described factor structures
• Comparison of dimensional assessment models (e.g., Caspi-inspired framework) using real-world patient-reported outcome data

Strengths

• Dataset includes 3,101 patient records from a real-world psychiatric outpatient sample
• Analysis tested multiple factor models (6-factor general, 5-factor bifactor, Caspi-inspired)
• Data was collected via the Osmind platform as part of measurement-based care

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect source bias inherent to the specific clinical platform

Provenance

Source

figshare

Collection Method

Data collected from patients using the Osmind platform who completed the DSM-5-TR Level 1 Cross-Cutting Symptom Measure.

Freshness

Last updated 2026-04-10 06:02:30