This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2410) Human Factors and Usability Case Studies (787) Registered Report (560) Health Services in Resource-Poor Settings and LMICs (414) Design and Formative Evaluation of Mobile Apps (694) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (565) Mobile Health and Apps for Maternal and Child Health (150) Perinatal Depression; Postpartum Depression; PPD (94)

Published on in Vol 4, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17895, first published .
Expanding Access to Perinatal Depression Treatment in Kenya Through Automated Psychological Support: Development and Usability Study

Expanding Access to Perinatal Depression Treatment in Kenya Through Automated Psychological Support: Development and Usability Study

Expanding Access to Perinatal Depression Treatment in Kenya Through Automated Psychological Support: Development and Usability Study

Authors of this article:

Eric P Green1 Author Orcid Image ;   Yihuan Lai1 Author Orcid Image ;   Nicholas Pearson1, 2 Author Orcid Image ;   Sathyanath Rajasekharan3 Author Orcid Image ;   Michiel Rauws4 Author Orcid Image ;   Angela Joerin4 Author Orcid Image ;   Edith Kwobah5 Author Orcid Image ;   Christine Musyimi6 Author Orcid Image ;   Rachel M Jones3 Author Orcid Image ;   Chaya Bhat1 Author Orcid Image ;   Antonia Mulinge3 Author Orcid Image ;   Eve S Puffer1, 7 Author Orcid Image
Article Authors Cited by (22) Tweetations (7) Metrics

Journals

  1. Muzik M, Bhattacharya S, Biery H. Achieving Comprehensive Treatment in Perinatal Mental Health: Is Educating Obstetric Providers Sufficient?. Journal of Women's Health 2021;30(10):1367 View
  2. Delanerolle G, Yang X, Shetty S, Raymont V, Shetty A, Phiri P, Hapangama D, Tempest N, Majumder K, Shi J. Artificial intelligence: A rapid case for advancement in the personalization of Gynaecology/Obstetric and Mental Health care. Women's Health 2021;17 View
  3. Jaguga F, Kiburi S, Temet E, Barasa J, Karanja S, Kinyua L, Kwobah E, Tsui J. A systematic review of substance use and substance use disorder research in Kenya. PLOS ONE 2022;17(6):e0269340 View
  4. Phiri M, Munoriyarwa A. Health Chatbots in Africa: Scoping Review. Journal of Medical Internet Research 2023;25:e35573 View
  5. Parmar P, Ryu J, Pandya S, Sedoc J, Agarwal S. Health-focused conversational agents in person-centered care: a review of apps. npj Digital Medicine 2022;5(1) View
  6. Chua J, Choolani M, Chee C, Chan Y, Lalor J, Chong Y, Shorey S. Insights of Parents and Parents‐To‐Be in Using Chatbots to Improve Their Preconception, Pregnancy, and Postpartum Health: A Mixed Studies Review. Journal of Midwifery & Women's Health 2023;68(4):480 View
  7. Siddiqui S, Morris A, Ikeda D, Balsari S, Blanke L, Pearsall M, Rodriguez R, Saxena S, Miller B, Patel V, Naslund J. Scaling up community-delivered mental health support and care: A landscape analysis. Frontiers in Public Health 2022;10 View
  8. Gual-Montolio P, Jaén I, Martínez-Borba V, Castilla D, Suso-Ribera C. Using Artificial Intelligence to Enhance Ongoing Psychological Interventions for Emotional Problems in Real- or Close to Real-Time: A Systematic Review. International Journal of Environmental Research and Public Health 2022;19(13):7737 View
  9. Goyal D, Rabemananjara K, Lara-Cinisomo S, Le H. Healthcare worker's understanding of perinatal depression and maternal mental health service needs in rural Kenya. Mental Health & Prevention 2023;29:200260 View
  10. Milne-Ives M, Selby E, Inkster B, Lam C, Meinert E, Narasimhan P. Artificial intelligence and machine learning in mobile apps for mental health: A scoping review. PLOS Digital Health 2022;1(8):e0000079 View
  11. van den Broek M, Gandhi Y, Sureshkumar D, Prina M, Bhatia U, Patel V, Singla D, Velleman R, Weiss H, Garg A, Sequeira M, Pusdekar V, Jordans M, Nadkarni A, Govindasamy D. Interventions to increase help-seeking for mental health care in low- and middle-income countries: A systematic review. PLOS Global Public Health 2023;3(9):e0002302 View
  12. van de Vijver S, Tensen P, Asiki G, Requena-Méndez A, Heidenrijk M, Stronks K, Cobelens F, Bont J, Agyemang C. Digital health for all: How digital health could reduce inequality and increase universal health coverage. DIGITAL HEALTH 2023;9 View
  13. Raeber F, Haldemann M, Ray S, Huber J, Firima E, Fernandez L, Amstutz A, Gerber F, Labhardt N, Belus J. Community-based models of care for adolescent and adult depression, suicidal behavior, anxiety, trauma, and substance use in Africa: a scoping review. Frontiers in Psychology 2024;15 View
  14. Tembo C, Portsmouth L, Burns S. Mapping the contextual mental health interventions for perinatal adolescent mothers with self-reported common mental symptoms (anxiety and depression) in sub-Saharan African countries: a scoping review. Journal of Child & Adolescent Mental Health 2023;35(1-3):147 View
  15. Kwok W, Zhang Y, Wang G. Artificial intelligence in perinatal mental health research: A scoping review. Computers in Biology and Medicine 2024;177:108685 View
  16. Otanga H, Nyaga J, March A, Khan F. Non-pharmacological interventions for depression in Kenya: a scoping review. Discover Psychology 2024;4(1) View
  17. Xian X, Chang A, Xiang Y, Liu M. Debate and Dilemmas Regarding Generative AI in Mental Health Care: Scoping Review. Interactive Journal of Medical Research 2024;13:e53672 View
  18. Fonseca A, Mancinelli E, Branquinho M. The use of e-mental health tools in the perinatal context. BJPsych Advances 2024:1 View

Books/Policy Documents

  1. Le H, Rabemananjara K, Goyal D. Handbook of Cognitive Behavioral Therapy by Disorder. View
  2. Rauws M. Artificial Intelligence in Medicine. View
  3. Rauws M. Artificial Intelligence in Medicine. View