mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study

• Published in: BMJ open Vol. 10; no. 8; p. e034723
• Main Authors: Aguilera, Adrian, Figueroa, Caroline A, Hernandez-Ramos, Rosa, Sarkar, Urmimala, Cemballi, Anupama, Gomez-Pathak, Laura, Miramontes, Jose, Yom-Tov, Elad, Chakraborty, Bibhas, Yan, Xiaoxi, Xu, Jing, Modiri, Arghavan, Aggarwal, Jai, Jay Williams, Joseph, Lyles, Courtney R
• Format: Journal Article
• Language: English
• Published: England British Medical Journal Publishing Group 20.08.2020; BMJ Publishing Group LTD; BMJ Publishing Group
• Series: Protocol
• Subjects: Adaptive learning; Adolescent; Adult; Aged; Behavior; Clinical trials; depression & mood disorders; Depression - epidemiology; Design; Diabetes; diabetes & endocrinology; Diabetes Mellitus - epidemiology; Diabetes Mellitus - therapy; Ethnicity; Exercise; Health care access; health informatics; Humans; Hypotheses; Intervention; Low income groups; Machine Learning; Mental depression; Mental Health; Middle Aged; Minority & ethnic groups; Minority Groups; Mobile Applications; Patients; Portable computers; Primary care; Randomized Controlled Trials as Topic; San Francisco; Smartphones; Telemedicine; Text messaging; Young Adult; San Francisco; United States > US; San Francisco California; telemedicine; health informatics; depression & mood disorders; diabetes & endocrinology

IntroductionDepression and diabetes are highly disabling diseases with a high prevalence and high rate of comorbidity, particularly in low-income ethnic minority patients. Though comorbidity increases the risk of adverse outcomes and mortality, most clinical interventions target these diseases separ...