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

mHealth in Medical Education and Training (80) e-Learning and Digital Medical Education (705) Infectious Diseases (non-STD/STI) (1592)

Published on in Vol 8, No 3 (2020): March

Leveraging Providers’ Preferences to Customize Instructional Content in Information and Communications Technology–Based Training Interventions: Retrospective Analysis of a Mobile Phone–Based Intervention in India

Leveraging Providers’ Preferences to Customize Instructional Content in Information and Communications Technology–Based Training Interventions: Retrospective Analysis of a Mobile Phone–Based Intervention in India

Leveraging Providers’ Preferences to Customize Instructional Content in Information and Communications Technology–Based Training Interventions: Retrospective Analysis of a Mobile Phone–Based Intervention in India

Authors of this article:

Hanu Tyagi1, 2 Author Orcid Image ;   Manisha Sabharwal3 Author Orcid Image ;   Nishi Dixit3 Author Orcid Image ;   Arnab Pal3 Author Orcid Image ;   Sarang Deo2 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

Journals

  1. Deo S, Jindal P, Sabharwal M, Parulkar A, Singh R, Kadam R, Dabas H, Dewan P. Field sales force model to increase adoption of a novel tuberculosis diagnostic test among private providers: evidence from India. BMJ Global Health 2020;5(12):e003600 View
  2. Wu D, An J, Yu P, Lin H, Ma L, Duan H, Deng N. Patterns for Patient Engagement with the Hypertension Management and Effects of Electronic Health Care Provider Follow-up on These Patterns: Cluster Analysis. Journal of Medical Internet Research 2021;23(9):e25630 View
  3. Rathi S, Chakrabati A, Chatterjee C, Hegde A. COVID-19 Lockdown & Technology Engagement: New Evidence from a Large-Scale m-Health Intervention in India. SSRN Electronic Journal 2021 View
  4. Ionescu A, de Jong P, Drop S, van Kampen S. A scoping review of the use of e-learning and e-consultation for healthcare workers in low- and middle-income countries and their potential complementarity. Journal of the American Medical Informatics Association 2022;29(4):713 View
  5. Rathi S, Chakrabarti A, Chatterjee C, Hegde A. Pandemics and technology engagement: New evidence from m‐Health intervention during COVID‐19 in India. Review of Development Economics 2022;26(4):2184 View
  6. Wu D, Huyan X, She Y, Hu J, Duan H, Deng N. Exploring and Characterizing Patient Multibehavior Engagement Trails and Patient Behavior Preference Patterns in Pathway-Based mHealth Hypertension Self-Management: Analysis of Use Data. JMIR mHealth and uHealth 2022;10(2):e33189 View
  7. Needamangalam Balaji J, Prakash S, Park Y, Baek J, Shin J, Rajaguru V, Surapaneni K. A Scoping Review on Accentuating the Pragmatism in the Implication of Mobile Health (mHealth) Technology for Tuberculosis Management in India. Journal of Personalized Medicine 2022;12(10):1599 View