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

Wearables and MHealth Reviews (320) mHealth in a Clinical Setting (760) mHealth in Medical Education and Training (128) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (734) Mobile Health and Apps for Maternal and Child Health (222) Pregnancy Information, Education and Lifestyle Interventions (417) Midwifery, Nurse-midwifery and Care for Pregnant or New Mothers (80)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55819, first published .
Evaluating the Adoption of mHealth Technologies by Community Health Workers to Improve the Use of Maternal Health Services in Sub-Saharan Africa: Systematic Review

Evaluating the Adoption of mHealth Technologies by Community Health Workers to Improve the Use of Maternal Health Services in Sub-Saharan Africa: Systematic Review

Evaluating the Adoption of mHealth Technologies by Community Health Workers to Improve the Use of Maternal Health Services in Sub-Saharan Africa: Systematic Review

Authors of this article:

Chiyembekezo Kachimanga1 Author Orcid Image ;   Haules Robbins Zaniku2, 3 Author Orcid Image ;   Titus Henry Divala2 Author Orcid Image ;   Johannes C.F Ket4 Author Orcid Image ;   Joia S Mukherjee5 Author Orcid Image ;   Daniel Palazuelos5 Author Orcid Image ;   Alexandra V Kulinkina6, 7 Author Orcid Image ;   Ibukun-Oluwa Omolade Abejirinde8, 9 Author Orcid Image ;   Thomas van den Akker1, 10 Author Orcid Image
Article Authors Cited by (8) Tweetations (1) Metrics

Journals

  1. Kachimanga C, Ng’ambi W, Kazinga D, Ndarama E, Amulele M, Munyaneza F, Abejirinde I, van den Akker T, Kulinkina A. Impact of Mobile Health (mHealth) Use by Community Health Workers on the Utilization of Maternity Care in Rural Malawi: A Time Series Analysis. International Journal of Women's Health 2025;Volume 17:245 View
  2. Degaga S, Yesuf S, Aweke G. Implementation of the electronic community health information system in rural East Shewa zone, Eastern Ethiopia: a CFIR-ERIC framework for facilitators, barriers and implementation strategies. Frontiers in Digital Health 2025;7 View
  3. Wanadi I, Ssennyonjo A. Adoption of e-health for community monitoring of HIV/TB services and its predictors among staff of Non-Government Organisations in Kampala, Uganda. Journal of Interventional Epidemiology and Public Health 2025;8(3) View
  4. Estrada E, Hedt-Gauthier B, Nkurunziza J, Kubwimana M, Nuss S, Forbes C, Odwaro F, Mugabo C, Boatin A, Tumusime M, Bikorimana L, Nyirimanzi N, Niyigena A, Prasad S, Riviello R, Kateera F, Oryono A, Bogaert K, Fletcher R, Byiringiro N, Cubaka V. Community health workers’ usability and acceptability of an mHealth tool for post-cesarean assessments: A mixed-methods study in rural Rwanda. BMC Pregnancy and Childbirth 2025;26(1) View
  5. Noor S, Islam R, Yeasar S, Siddique S. Machine learning-based prediction of maternal continuum of care completion: Evidence from Bangladesh Demographic and Health Survey 2022. Array 2026;29:100666 View
  6. Kweka A. Challenges Facing the Elderly in Accessing Health Services. Journal of Social and Community Development 2025;2(03):207 View
  7. Anab E, Gitau T, Yegon E, Mwita N, Ochieng M, Koimur A, Omondi R, Smith S, Andrews H, Oluoch D, Amihanda R, Lwanda M, Makhulo E, Sakwa G, Akinyi P. Leveraging telemedicine to improve MNCH uptake in Kenya: a community-based hybrid model. Frontiers in Digital Health 2026;7 View
  8. Ahmed N, Dahal M, Crocket H, Strasser R. Factors Influencing Community Members' Perception of Primary Health Care Services Delivered by Community Health Workers in Rural Areas: A Systematic Review. Australian Journal of Rural Health 2026;34(1) View