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ABSTRACT: Introduction
Major depression affects over 300 million people worldwide, but cases are often detected late or remain undetected. This increases the risk of symptom deterioration and chronification. Consequently, there is a high demand for low threshold but clinically sound approaches to depression detection. Recent studies show a great willingness among users of mobile health apps to assess daily depression symptoms. In this pilot study, we present a provisional validation of the depression screening app Moodpath. The app offers a 14-day ambulatory assessment (AA) of depression symptoms based on the ICD-10 criteria as well as ecologically momentary mood ratings that allow the study of short-term mood dynamics.Materials and methods
N = 113 Moodpath users were selected throug
SUBMITTER: Burchert S
PROVIDER: S-EPMC7787464 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature