Merhai KefyalewMisiker W/kidan2025-03-202025-03-202024-10-10https://etd.aau.edu.et/handle/123456789/5153Background: The chest X-ray (CXR) is an important diagnostic tool in diagnosing and monitoring a spectrum of diseases. It has a crucial role in the clinical decision-making process. The chest radiograph is the most commonly performed radiologic examination and can be one of the most complex and most difficult to interpret. Emergency physicians and residents are required to interpret CXR. Competence in interpreting Emergency CXR is essential for emergency and critical care residents to ensure timely and accurate diagnosis and treatment. However, there is a lack of comprehensive studies in developing countries assessing the competency levels of emergency and critical care medicine residents. Objectives: To assess the competence of Emergency and critical care medicine (EMCC) residents in interpreting emergency chest X-rays and their associated factors to identify chest pathologies by using CXR in Tibur Anbessa Specialized Hospital (TASH), Saint Paul Hospital Millennium Medical College (SPHMMC), Jimma University specialized hospital and Haramaya University Hiwot Fana Comprehensive Specialized Hospital. Methods: A cross-sectional study was conducted among EMCC residents on training in four university hospitals in Ethiopia from June to August 2024 G.C by using a Pretested and structured self-administered questionnaire. All 109 senior ECCM residents were included in this study. Participants was assessed using a standardized set of emergency Chest X-ray images representing a diverse range of pathologies encountered in an emergency setting. Data was gathered via web connection after being prepared by kobotools.org, coded, manually checked, and analyzed using the SPSS version 26 statistical program. The data was analysed using logistic regression, non-parametric tests, chi-square tests, and descriptive statistics. Result: The overall competency in identifying chest X-ray (CXR) findings among residents was 39.8%, with a median of 2 (IQR 1-2) images correctly identified. No resident identified all CXR images, and the distribution showed that 6 residents (5.8%) recognized 9 findings, while 28 residents (27.1%) identified 7 findings. Most commonly, 99 residents (96.1%) identified normal CXRs, followed by pneumoperitonium (91 residents, 88.3%) and cannon ball lesions (90 residents, 87.4%). Only 14 residents (13.6%) correctly identified left upper lobe collapse, indicating significant gaps in competency across various pathologies. there is statistically significant association between age and competency in chest X-ray (CXR) interpretation, with older residents (36-40 years) were competent compared to younger residents (25-30 years). Additionally, third year residents (PGY3) were significantly more likely to demonstrate competency than second-year residents (PGY2).en-USCompetency in Interpretation of EmergencyThesis