Optimizing data collection for obstetrical ultrasound research at the primary health care level in rural Uganda
Accurate and complete data collection is possible in an LMIC setting if appropriate training and oversight are employed.
Authors
- Kristen DeStigter
- Delia Horn (ORCID: https://orcid.org/0009-0000-3536-1680)
- Abimbola Leslie (ORCID: https://orcid.org/0000-0002-0236-7602)
- Mary Nakafeero (ORCID: https://orcid.org/0000-0003-2943-0744)
- Renny Ssembatya (ORCID: https://orcid.org/0000-0002-3600-3495)
- Nicholas Bahati
- Joyce Nayiga
- Erika M. Edwards
- Frank B. Williams (ORCID: https://orcid.org/0000-0001-7507-4870)
- Thomas Eremu
- Micheal F. Ssenoga
- Samalie Nakibirango
- Julian P. Arapa
- Blandina Busingye
Institutions
- University of Vermont (US)
- World Health Organization - Pakistan (PK)
- World Vision (US)
- Ochsner Baptist Medical Center (US)
- University of Vermont Medical Center (US)
- World Wide Web Consortium (US)
- World Health Organization - Uganda (UG)
- Clermont Université (FR)
- Makerere University (UG)
Publication Details
- Journal
- Global Health Action
- Published
- 2024-12-31
- DOI
- https://doi.org/10.1080/16549716.2024.2436715
- Primary Topic
- Ultrasound in Clinical Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- African Academy of Sciences