A train-the-trainer curriculum to scale up artificial intelligence-supported echocardiography for rheumatic heart disease screening in a public health care system
This pilot study showed that utilising a train-the-trainer model to implement echocardiographic screening for RHD into primary health care in a low-resource setting is feasible.
Authors
- Joselyn Rwebembera (ORCID: https://orcid.org/0000-0001-8453-818X)
- Sarah de Loizaga
- Miriam Nakitto
- Jafesi Pulle (ORCID: https://orcid.org/0000-0001-7955-3481)
- Ndate Fall (ORCID: https://orcid.org/0000-0002-0781-8601)
- Doreen Nakagaayi (ORCID: https://orcid.org/0000-0003-4010-9951)
- Jenifer Atala (ORCID: https://orcid.org/0000-0003-4277-9262)
- Craig Sable (ORCID: https://orcid.org/0000-0002-6798-2737)
- Emmy Okello (ORCID: https://orcid.org/0000-0002-6109-0092)
- Nicholas J. Ollberding (ORCID: https://orcid.org/0000-0001-9404-7368)
- Rachel Sarnacki (ORCID: https://orcid.org/0000-0001-9137-7476)
- Neema W. Minja (ORCID: https://orcid.org/0000-0003-2272-9153)
- Linda Mary Oyella
- Andrea Beaton (ORCID: https://orcid.org/0000-0001-9315-3476)
Institutions
- Cincinnati Children's Hospital Medical Center (US)
- Ochsner Health System (US)
- Children's National (US)
- Ochsner Medical Center (US)
- Mulago Hospital (UG)
- Kilimanjaro Christian Medical Centre (TZ)
Publication Details
- Journal
- Cardiovascular journal of South Africa/Cardiovascular journal of Southern Africa
- Published
- 2025-10-27
- DOI
- https://doi.org/10.5830/cvja-2025-077
- Primary Topic
- Clinical Reasoning and Diagnostic Skills
- Type
- article
- Field-Weighted Citation Impact
- 0.00