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Patient Health Questionnaire-9 Item Pairing Predictiveness for Prescreening Depressive Symptomatology: Machine Learning Analysis

Patient Health Questionnaire-9 Item Pairing Predictiveness for Prescreening Depressive Symptomatology: Machine Learning Analysis

Nevertheless, these results highlight the PHQ-2’s limited effectiveness in prescreening for depressive symptoms in the various cultures and demographics analyzed in this study. The superior AUC performance of the phq2&4, albeit only slightly in some data sets, suggests that the low-energy item merits inclusion in ultrabrief questionnaires for the prescreening of depressive symptomatology. In terms of AUC, the phq2&8 did not generalize as well.

Darragh Glavin, Eoin Martino Grua, Carina Akemi Nakamura, Marcia Scazufca, Edinilza Ribeiro dos Santos, Gloria H Y Wong, William Hollingworth, Tim J Peters, Ricardo Araya, Pepijn Van de Ven

JMIR Ment Health 2023;10:e48444

Assessing a New Prescreening Score for the Simplified Evaluation of the Clinical Quality and Relevance of eHealth Apps: Instrument Validation Study

Assessing a New Prescreening Score for the Simplified Evaluation of the Clinical Quality and Relevance of eHealth Apps: Instrument Validation Study

Whereas existing evaluation scores are often complex and difficult to deploy, health care institutions and the prescribers of these e Health solutions need a simple, quick prescreening tool. However, there is no consensus on the benchmark for evaluating them in the context of clinical activity. These prescreening tools must be based on good clinical practice guides and recommendations.

Nicolas Wagneur, Patrick Callier, Jean-David Zeitoun, Denise Silber, Remi Sabatier, Fabrice Denis

J Med Internet Res 2022;24(7):e39590