Share:
Peer-Reviewed Publication
J Med Internet Res2026;28e84030.April 16, 2026Journal Article

Identifying Evidence-Based Strategies in a Digital Mental Health Intervention for Depression: Qualitative Content Analysis.

Geneva K Jonathan1,2, Jenna Y Sung1, Heyli T Arcese1, Phoebe Holz1, Kathryn H Bentley1, Emily E Bernstein1, Hilary M Weingarden1,2, Jennifer L Greenberg1,2, Oliver T Harrison3, Sabine Wilhelm1,2
1Department of Psychiatry, Massachusetts General Hospital, 185 Cambridge Street, 2nd Floor, Boston, MA, 02114, United States.
2Department of Psychiatry, Harvard Medical School, Boston, MA, United States.
3Koa Health, London, United Kingdom.

Abstract

BACKGROUND: Depression is one of the leading causes of disability worldwide. Cognitive behavioral therapy (CBT) is an effective treatment, but it is difficult to access due to clinician shortages, waitlists, and logistical barriers. Smartphone-based CBT interventions offer a scalable alternative to traditional face-to-face care, but few provide transparency regarding how closely they adhere to evi…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.