Operational feasibility of the ultra-portable digital X-rays with Computer-Aided Detection (CAD) for community active case finding for TB in Nigeria
Health care workers and client’s perspectives
Bibliographic Data
| ID | 19593016 |
|---|---|
| Authors | Sani Useni (0000-0002-7065-7273, University of Abuja, corresponding author), Rupert Eneogu (0000-0002-3616-7457, United States Agency for International Development, corresponding author), Austin Ihesie (0000-0002-1739-6350, National Tuberculosis Institute, corresponding author), Abiola Alege (Society for Family Health Nigeria, corresponding author), Aderonke Agbaje (0000-0001-7923-6435, Institute of Human Virology, corresponding author), Bethrand Odume (0000-0003-4244-2088, University of Abuja, corresponding author), Debby Nongo (0000-0001-5339-9818, United States Agency for International Development, corresponding author), Eze Chukwu, E G Chukwu (University of Abuja, corresponding author), Olabamiji Jamiu Olayinka (0009-0008-8587-4423, Institute of Human Virology, corresponding author), Omosalewa Oyelaran (United States Agency for International Development, corresponding author), Charles Ohikhuai (University of Abuja, corresponding author), Zhi Zhen Qin (0000-0002-3956-5223, Partnership for Child Health, corresponding author), Rachael Barrett (0000-0001-5004-2573, Partnership for Child Health, corresponding author), Olufunmilayo Omosebi (Federal Ministry of Health, corresponding author), Chukwuma Anyaike (0000-0002-3570-5831, National Tuberculosis Institute, corresponding author), Atana Ewa (0000-0002-7737-2027, National Tuberculosis Institute, corresponding author) |
| Editors | Sanghyuk S Shin Sanghyuk S Shin |
| Year | 2025 |
| Volume | 5 |
| Issue | 10 |
| Pages | e0005234 |
| Publication date | 2025-10-22 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | PLOS Global Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2767-3375 • E-ISSN: 2767-3375 |
| Publisher | Public Library of Science (PLoS) (PUBLISHER) |
| DOI | 10.1371/journal.pgph.0005234 |
| PMID | 41124176 |
| OpenAlex | W4415442206 |
| Language | EN |
| References cited | 22 |
Nigeria received 10 Ultra-Portable digital X-rays (UPDX) with Computer-Aided Detection (CAD) from the Stop TB Partnership, as part of the USAID-funded introducing New Tools Project (iNTP). The UPDX machines (Delft Light systems) were deployed to 8 states for TB screening and triaging algorithms for early TB detection. This study sought to explore the perspectives of health workers and clients on the operational feasibility and ease-of-use of the UPDX with CAD, with a view to determining the acceptability, enablers and barriers to effective use and exploring the perceived ease-of-use by the end-users. This is a cross-sectional descriptive study, conducted between April and June 2023, using mixed quantitative and qualitative methods to determine the feasibility, acceptability, and ease-of-use of the UPDX with CAD in Nigeria. Purposive sampling was done for 57 respondents made up of radiographers, radiologists, key informants, TBLS/DOT nurses and clients. All aged from 20-60 years. They reported ease-of-use and access to screening, portability, availability in hard-to-reach areas, usefulness for mass screening in communities, comparable quality of x-ray with fixed x-ray, rapid results and had challenges with equipment/implementation costs, fears of irradiation, lack of collaboration with other programs and inability to use UPDX-with-CAD on children
Case finding · Health care · Nonprobability sampling · Qualitative research · Tuberculosis · Artificial Intelligence in Healthcare and Education · COVID-19 diagnosis using AI · Radiology practices and education
| Highly cited | No |
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