Results From a Pilot Study of an Automated Directly Observed Therapy Intervention Using Artificial Intelligence With Conditional Economic Incentives Among Young Adults With HIV.
Marie C D StonerLouis SmithKristin MingNoah MancusoHenna PataniAdam Sukhija-CohenYancy GranadosDanielle WagnerMallory O JohnsonSue NapieralaTorsten B NeilandsParya SaberiPublished in: Journal of acquired immune deficiency syndromes (1999) (2024)
Acceptability and feasibility of the aDOT-CEI intervention were high with potential to improve viral suppression, although some a priori metrics were not met. Pilot results suggest refinements which may improve intervention outcomes, including increased incentive amounts, provision of additional information, and reassurance about app privacy and security. Additional research is recommended to test the efficacy of the aDOT-CEI intervention to improve viral suppression in a larger sample.
Keyphrases
- randomized controlled trial
- artificial intelligence
- young adults
- big data
- sars cov
- machine learning
- deep learning
- healthcare
- human immunodeficiency virus
- hepatitis c virus
- hiv infected
- study protocol
- antiretroviral therapy
- hiv testing
- health information
- stem cells
- mesenchymal stem cells
- skeletal muscle
- metabolic syndrome
- tyrosine kinase
- adipose tissue
- risk assessment
- climate change
- cell therapy
- social media
- weight loss
- human health
- replacement therapy