Austin Ihesie
Biographic Data
| ID | 9068307 |
|---|---|
| NAME | Austin Ihesie |
| GIVEN NAMES | Austin |
| FAMILY NAME | Ihesie |
| SIGNATURE | IHESIE A |
| AFFILIATIONS | National Tuberculosis Institute |
| ORCID | 0000-0002-1739-6350 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Operational feasibility of the ultra-portable digital X-rays with Computer-Aided Detection (CAD) for community active case finding for TB in Nigeria
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 …
Evaluating the health impact, health-system costs and cost-effectiveness of using TrueNat on stool samples compared to usual care for the diagnosis of paediatric tuberculosis in primary care settings
The World Health Organisation (WHO) recommends rapid molecular diagnostics to improve bacteriological confirmation of tuberculosis in children. TrueNat MTB, MTB Plus and MTB-RIF Dx assays (Molbio Diagnostics, India), recommended by WHO, hold potential as point-of-care tests in resource-limited settings. Using stool samples with these assays could enhance testing access, improve linkage to care, reduce costs, and increase cost-effectiveness over t…
Perceived ease of use of Truenat among laboratory staff as a new diagnostic tool for TB in Nigeria
In January 2020, WHO released a rapid communication on use of molecular assays as initial tests for diagnosis of tuberculosis, recommending Truenat as a replacement for smear microscopy in TB diagnosis. This study was designed to assess perceived ease of use of Truenat among Laboratory staff as a new diagnostic tool for TB in Nigeria. This study used a cross-sectional design. All trained Laboratory personnel operating the Truenat Duo equipment in…
No prominent works on this page.
Perceived ease of use of Truenat among laboratory staff as a new diagnostic tool for TB in Nigeria
In January 2020, WHO released a rapid communication on use of molecular assays as initial tests for diagnosis of tuberculosis, recommending Truenat as a replacement for smear microscopy in TB diagnosis. This study was designed to assess perceived ease of use of Truenat among Laboratory staff as a new diagnostic tool for TB in Nigeria. This study used a cross-sectional design. All trained Laboratory personnel operating the Truenat Duo equipment in…
Operational feasibility of the ultra-portable digital X-rays with Computer-Aided Detection (CAD) for community active case finding for TB in Nigeria
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 …
Evaluating the health impact, health-system costs and cost-effectiveness of using TrueNat on stool samples compared to usual care for the diagnosis of paediatric tuberculosis in primary care settings
The World Health Organisation (WHO) recommends rapid molecular diagnostics to improve bacteriological confirmation of tuberculosis in children. TrueNat MTB, MTB Plus and MTB-RIF Dx assays (Molbio Diagnostics, India), recommended by WHO, hold potential as point-of-care tests in resource-limited settings. Using stool samples with these assays could enhance testing access, improve linkage to care, reduce costs, and increase cost-effectiveness over t…
Tuberculosis (3 works) · Case finding (2 works) · Family medicine (2 works) · Health care (2 works) · Medicine (2 works) · Pneumonia and Respiratory Infections (2 works) · Tuberculosis Research and Epidemiology (2 works) · Artificial Intelligence in Healthcare and Education (1 work) · Child Nutrition and Water Access (1 work) · Computer Science (1 work)