ArticleInternational journal of technology assessment in health care2024
Hospital-based health technology assessment of a screening rapid test MTBI (GFAP and UCH-L1 blood biomarkers) for mild traumatic brain injury.
Article in International journal of technology assessment in health care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Article
- Exploring the challenges of developing hospital-based health technology assessment in Iran: a qualitative study.Health research policy and systems · 2026Article
- Age-Adjusted Cut-Off Values for Glial Fibrillary Acidic Protein and Ubiquitin Carboxy-Terminal Hydrolase L1 Improve the Diagnostic Accuracy of the Abbott Mild Traumatic Brain Injury Assay.Diagnostics (Basel, Switzerland) · 2025Article
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Authors and funding
7 authors.
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Abstract
backgroundThe assessment of technology in hospital settings is a crucial step towards ensuring the delivery of efficient, effective, and safe healthcare.
objectiveThis study conducts a Hospital-Based Health Technology Assessment to evaluate the efficacy of a screening rapid test for mild Traumatic Brain Injury (mild TBI) utilizing blood biomarkers, specifically Glial Fibrillary Acidic Protein (GFAP) and Ubiquitin C-terminal Hydrolase L1 (UCH-L1). The assessment focuses on the clinical utility and performance characteristics of the proposed rapid test within a hospital setting.
methodsThe screening model was meticulously examined for its ability to accurately detect mild TBI, considering the sensitivity and specificity of GFAP and UCH-L1 as blood biomarkers. The study involved a thorough evaluation of the test's diagnostic accuracy, comparing its outcomes with established standards for mild TBI diagnosis.Results from the Hospital-Based Health Technology Assessment highlight the potential of the GFAP and UCH-L1 blood biomarker-based rapid test as an efficient screening tool for mild TBI within a hospital environment. The evidence results show that the test is highly sensitive (91 percent to 100 percent) for the prediction of acute traumatic intracranial lesions, which helps rule out injury when the result is negative. When used within 12 hours of injury in adult patients with mild TBI, this test holds promise in reducing the utilization of CT.
conclusionThe findings contribute valuable insights into the feasibility and reliability of implementing this technology for timely and accurate identification of mild TBI, enhancing clinical decision making and patient care in hospital settings.
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