Content Recommendation Systems in Web-Based Mental Health Care: Real-world Application and Formative Evaluation.

Akhil Chaturvedi¹, Brandon Aylward¹, Setu Shah¹, Grant Graziani¹, Joan Zhang¹, Bobby Manuel¹, Emmanuel Telewa¹, Stefan Froelich¹, Olalekan Baruwa¹, Prathamesh Param Kulkarni¹, Watson Ξ¹, Sarah Kunkle¹

¹Headspace Health, San Francisco, CA, United States.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Recommender systems have great potential in mental health care to personalize self-guided content for patients, allowing them to supplement their mental health treatment in a scalable way. OBJECTIVE: In this paper, we describe and evaluate 2 knowledge-based content recommendation systems as parts of Ginger, an on-demand mental health platform, to bolster engagement in self-guided ment…

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.

Create Free Account Sign In

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.