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

Mobile Health and Apps for Maternal and Child Health (127) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (519) Wearable Devices and Sensors (816)

Published on in Vol 2, No 1 (2019): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12366, first published .
Procedures to Select Digital Sensing Technologies for Passive Data Collection With Children and Their Caregivers: Qualitative Cultural Assessment in South Africa and Nepal

Procedures to Select Digital Sensing Technologies for Passive Data Collection With Children and Their Caregivers: Qualitative Cultural Assessment in South Africa and Nepal

Procedures to Select Digital Sensing Technologies for Passive Data Collection With Children and Their Caregivers: Qualitative Cultural Assessment in South Africa and Nepal

Authors of this article:

Brandon A Kohrt1, 2, 3 Author Orcid Image ;   Sauharda Rai3, 4 Author Orcid Image ;   Khanya Vilakazi5 Author Orcid Image ;   Kiran Thapa6 Author Orcid Image ;   Anvita Bhardwaj1, 7 Author Orcid Image ;   Alastair van Heerden8, 9 Author Orcid Image
Article Authors Cited by (16) Tweetations (21) Metrics

Journals

  1. 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
  2. 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;7:2333794X2091757 View
  3. 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
  4. Poudyal A, van Heerden A, Hagaman A, Maharjan S, Byanjankar P, Subba P, Kohrt B. 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. JMIR Research Protocols 2019;8(8):e14734 View
  5. Bhardwaj A, Subba P, Rai S, Bhat C, Ghimire R, Jordans M, Green E, Vasudevan L, Kohrt B. Lessons learned through piloting a community-based SMS referral system for common mental health disorders used by female community health volunteers in rural Nepal. BMC Research Notes 2020;13(1) View
  6. Bemme D, Kirmayer L. Global Mental Health: Interdisciplinary challenges for a field in motion. Transcultural Psychiatry 2020;57(1):3 View
  7. van Heerden A, Wassenaar D, Essack Z, Vilakazi K, Kohrt B. In-Home Passive Sensor Data Collection and Its Implications for Social Media Research: Perspectives of Community Women in Rural South Africa. Journal of Empirical Research on Human Research Ethics 2020;15(1-2):97 View
  8. Leal Neto O, Haenni S, Phuka J, Ozella L, Paolotti D, Cattuto C, Robles D, Lichand G. Combining Wearable Devices and Mobile Surveys to Study Child and Youth Development in Malawi: Implementation Study of a Multimodal Approach. JMIR Public Health and Surveillance 2021;7(3):e23154 View
  9. 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
  10. 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
  11. 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
  12. Bulungu A, Palla L, Priebe J, Forsythe L, Katic P, Varley G, Galinda B, Sarah N, Nambooze J, Wellard K, Ferguson E. Validation of an Automated Wearable Camera-Based Image-Assisted Recall Method and the 24-h Recall Method for Assessing Women’s Time Allocation in a Nutritionally Vulnerable Population: The Case of Rural Uganda. Nutrients 2022;14(9):1833 View
  13. Till S, Mkhize M, Farao J, Shandu L, Muthelo L, Coleman T, Mbombi M, Bopape M, Klingberg S, van Heerden A, Mothiba T, Densmore M, Verdezoto Dias N. Digital Health Technologies for Maternal and Child Health in Africa and Other Low- and Middle-Income Countries: Cross-disciplinary Scoping Review With Stakeholder Consultation. Journal of Medical Internet Research 2023;25:e42161 View
  14. Hagaman A, Lopez Mercado D, Poudyal A, Bemme D, Boone C, van Heerden A, Byanjankar P, Man Maharjan S, Thapa A, Kohrt B, Wasti S. “Now, I have my baby so I don’t go anywhere”: A mixed method approach to the ‘everyday’ and young motherhood integrating qualitative interviews and passive digital data from mobile devices. PLOS ONE 2022;17(7):e0269443 View
  15. De Calheiros Velozo J, Habets J, George S, Niemeijer K, Minaeva O, Hagemann N, Herff C, Kuppens P, Rintala A, Vaessen T, Riese H, Delespaul P. Designing daily-life research combining experience sampling method with parallel data. Psychological Medicine 2024;54(1):98 View
  16. 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