Comparison of different scoring methods based on latent variable models of the PHQ-9: an individual participant data meta-analysis.

ABSTRACT:

Background

Previous research on the depression scale of the Patient Health Questionnaire (PHQ-9) has found that different latent factor models have maximized empirical measures of goodness-of-fit. The clinical relevance of these differences is unclear. We aimed to investigate whether depression screening accuracy may be improved by employing latent factor model-based scoring rather than sum scores.

Methods

We used an individual participant data meta-analysis (IPDMA) database compiled to assess the screening accuracy of the PHQ-9. We included studies that used the Structured Clinical Interview for DSM (SCID) as a reference standard and split those into calibration and validation datasets. In the calibration dataset, we estimated unidimensional, two-dimensional (separating cog

SUBMITTER: Fischer F 

PROVIDER: S-EPMC9393567 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature