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

Non-randomized Protocols and Methods (ehealth) (567) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (565) Wearable Devices and Sensors (888) Depression and Mood Disorders; Suicide Prevention (1363) Perinatal Depression; Postpartum Depression; PPD (94) Perinatal Education for Parents (219)

Published on in Vol 8, No 9 (2019): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14734, first published .
Wearable Digital Sensors to Identify Risks of Postpartum Depression and Personalize Psychological Treatment for Adolescent Mothers: Protocol for a Mixed Methods Exploratory Study in Rural Nepal

Wearable Digital Sensors to Identify Risks of Postpartum Depression and Personalize Psychological Treatment for Adolescent Mothers: Protocol for a Mixed Methods Exploratory Study in Rural Nepal

Wearable Digital Sensors to Identify Risks of Postpartum Depression and Personalize Psychological Treatment for Adolescent Mothers: Protocol for a Mixed Methods Exploratory Study in Rural Nepal

Authors of this article:

Anubhuti Poudyal1 Author Orcid Image ;   Alastair van Heerden2, 3 Author Orcid Image ;   Ashley Hagaman4, 5 Author Orcid Image ;   Sujen Man Maharjan6 Author Orcid Image ;   Prabin Byanjankar6 Author Orcid Image ;   Prasansa Subba7 Author Orcid Image ;   Brandon A Kohrt1 Author Orcid Image
Article Authors Cited by (14) Tweetations (3) Metrics

Journals

  1. Byanjankar P, Poudyal A, Kohrt B, Maharjan S, Hagaman A, van Heerden A. Utilizing passive sensing data to provide personalized psychological care in low-resource settings. Gates Open Research 2020;4:118 View
  2. Galea J, Ramos K, Coit J, Friedman L, Contreras C, Dueñas M, Hernandez N, Muster C, Lecca L, Gelaye B. The Use of Wearable Technology to Objectively Measure Sleep Quality and Physical Activity Among Pregnant Women in Urban Lima, Peru: A Pilot Feasibility Study. Maternal and Child Health Journal 2020;24(7):823 View
  3. van Heerden A, Leppanen J, Rotheram-Borus M, Worthman C, Kohrt B, Skeen S, Giese S, Hughes R, Bohmer L, Tomlinson M. Emerging Opportunities Provided by Technology to Advance Research in Child Health Globally. Global Pediatric Health 2020;7 View
  4. Elkhodr M, Mubin O, Iftikhar Z, Masood M, Alsinglawi B, Shahid S, Alnajjar F. Technology, Privacy, and User Opinions of COVID-19 Mobile Apps for Contact Tracing: Systematic Search and Content Analysis. Journal of Medical Internet Research 2021;23(2):e23467 View
  5. Byanjankar P, Poudyal A, Kohrt B, Maharjan S, Hagaman A, van Heerden A. Utilizing passive sensing data to provide personalized psychological care in low-resource settings. Gates Open Research 2021;4:118 View
  6. Poudyal A, van Heerden A, Hagaman A, Islam C, Thapa A, Maharjan S, Byanjankar P, Kohrt B. What Does Social Support Sound Like? Challenges and Opportunities for Using Passive Episodic Audio Collection to Assess the Social Environment. Frontiers in Public Health 2021;9 View
  7. Maharjan S, Poudyal A, van Heerden A, Byanjankar P, Thapa A, Islam C, Kohrt B, Hagaman A. Passive sensing on mobile devices to improve mental health services with adolescent and young mothers in low-resource settings: the role of families in feasibility and acceptability. BMC Medical Informatics and Decision Making 2021;21(1) View
  8. Tanveer M, Kaur H, Thomas G, Mahmood H, Paruthi M, Yu Z. Mobile Phone Buying Decisions among Young Adults: An Empirical Study of Influencing Factors. Sustainability 2021;13(19):10705 View
  9. Qirtas M, Zafeiridi E, Pesch D, White E. Loneliness and Social Isolation Detection Using Passive Sensing Techniques: Scoping Review. JMIR mHealth and uHealth 2022;10(4):e34638 View
  10. Gulzar Ahmad S, Iqbal T, Javaid A, Ullah Munir E, Kirn N, Ullah Jan S, Ramzan N. Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review. Sensors 2022;22(12):4362 View
  11. Walsh A, Naughton G, Sharpe T, Zajkowska Z, Malys M, van Heerden A, Mondelli V. A collaborative realist review of remote measurement technologies for depression in young people. Nature Human Behaviour 2024;8(3):480 View
  12. van Heerden A, Poudyal A, Hagaman A, Maharjan S, Byanjankar P, Bemme D, Thapa A, Kohrt B. Integration of passive sensing technology to enhance delivery of psychological interventions for mothers with depression: the StandStrong study. Scientific Reports 2024;14(1) View
  13. Wani C, McCann L, Lennon M, Radu C. Digital Mental Health Interventions for Adolescents in Low- and Middle-Income Countries: A Scoping Review (Preprint). Journal of Medical Internet Research 2023 View
  14. Song S, Ashton M, Yoo R, Lkhagvajav Z, Wright R, Mathews D, Taylor C. Participant Contributions to Person-generated Health Data Research Using Mobile Devices: A Scoping Review (Preprint). Journal of Medical Internet Research 2023 View