Efficacy of using a digital health intervention model using community health workers for primary health services in Bangladesh: a repeated cross-sectional observational study
This study highlights the feasibility and effectiveness of digital health interventions in enhancing primary healthcare in rural settings. Integration of AI-driven decision support with CHW-led health education and screenings can improve early detection, intervention and management of non-communicable diseases (NCDs). Scaling up this model through public-private partnerships offers a cost-effective approach to bridging healthcare gaps and promoting universal health coverage.
Authors
- Rubaiyat Alim Hridhee (ORCID: https://orcid.org/0000-0001-6041-4481)
- Sheikh Mohammed Shariful Islam (ORCID: https://orcid.org/0000-0001-7926-9368)
- Marzia Zaman (ORCID: https://orcid.org/0000-0002-0610-0470)
- Md. Mashiar Rahman (ORCID: https://orcid.org/0000-0002-3776-9855)
- Khondaker A. Mamun (ORCID: https://orcid.org/0000-0003-0243-8324)
- Farhana Sarker (ORCID: https://orcid.org/0000-0002-3962-6065)
- Refat Ahmed Bhuiyan
- Charles Aunkan Gomes
Institutions
- Deakin University (AU)
- Independent University, Bangladesh (BD)
- ARK Foundation (BD)
- Palli Karma Sahayak Foundation (BD)
- United International University (BD)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-05-19
- DOI
- https://doi.org/10.1186/s12889-025-22770-9
- Citations
- 5
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 14.08
Funders
- United International University