Case Study: The SHM Foundation improves mental health support for HIV-positive adolescents with John Snow Labs

The SHM Foundation boosts social support by 33% with John Snow Labs

The SHM Foundation faced significant challenges in improving mental health and reducing stigma among HIV-positive adolescents in South Africa through its Khuluma project. Key issues included social isolation, a lack of knowledge about HIV, and poor treatment adherence. Their data analysis was hindered by over 40,000 noisy text messages requiring NLP, the fusion of multiple data sources, and a limited amount of labeled data. John Snow Labs was engaged to help analyze this complex dataset.

John Snow Labs implemented a solution using natural language processing, time series analysis, classification, and clustering. The results showed a 33% increase in feelings of social support, a 10% decrease in internalized stigma, and a notable increase in conversations encouraging treatment adherence. The analysis provided The SHM Foundation with critical insights for presentations at AIDS 2016 and helped break down barriers to the program's success, including stigma and social isolation.

The SHM Foundation