Assessment of final-year medical students' performance in diagnosing critical findings on chest X-ray

Knowledge, Attitude, and Practice of Diagnostic Radiology Among Clinical Year Medical Students

Background Nowadays, radiology is considered one of the most important disciplines of medicine as it guides physicians to reach the proper diagnosis by using many types of medical imaging modalities, such as x-ray radiography, computed tomography (CT), ultrasonography (US), and magnetic resonance imaging (MRI). These modalities are used to create dynamic images of different parts of the human body, which are being used to accurately diagnose and follow up on a variety of medical conditions. Moreover, in recent decades, radiology has experienced substantial growth and transformation, establishing itself not just in diagnostics but also in the domain of medical interventions, which includes the increasingly recognized discipline of interventional radiology. Methodology A descriptive cross-sectional study was conducted at Umm Al-Qura University (UQU) in Makkah from October 2022 to April 2023. The population size of medical students from the fourth to sixth year at Umm Al-Qura University is about 820 students. Results The total number of participants was 359, but two did not fill out properly. Hence, data was analyzed for (n=357), whereas more than half of them were female, 195 (54.6%). About 133 (37%) of the students were in their sixth year, while 106 (29%) were in their fourth year. Regarding their grade point average (GPA), 209 (58%) had >3.5, and 119 (33%) had 3.0-3.5. The maximum number of females 77 (57.9%) students were in the sixth year. Regarding knowledge, 291 (81.5%) had heard about interventional radiology before, while 66 (18.5%) had never heard about interventional radiology before. Moreover, 270 (75.6%) believe that the years in radiology residency are the same as other specialties. Regarding perceived knowledge about radiology, 183 (51.3%) said it is adequate. Conclusion This study showed that medical students at Umm Al-Qura University have a positive attitude towards radiology. However, the majority of the students do not have adequate knowledge regarding radiology as well as radiation hazards. We can improve this by increasing radiology experience in our institutions. Also, courses should be designed and incorporated into the curriculum to increase the knowledge of medical students about ionizing radiation.

Radiology image interpretation services in a low-resource setting: Medical doctors' experiences and the potential role of radiographers

INTRODUCTION

Medical doctors can encounter significant challenges in both the radiology image interpretation service and their ability to interpret images to promote effective patient management. This study aimed to explore the experiences of medical doctors in a low-resource setting regarding the image interpretation service received in state-funded hospitals and the potential role of radiographers.

METHODS

A qualitative approach with a descriptive phenomenology design was employed. Thirteen medical officers and medical interns, with a maximum of three years of experience, were purposively selected from three state-funded hospitals. Semi-structured interviews were conducted in English, and data analysis followed the conventional content analysis method using Atlas.ti for Windows (version 9).

RESULTS

Three main themes emerged from the data. The first theme was a poor image interpretation service which highlighted issues such as long turnaround times for image reporting and compromised patient management. The second theme was training and support deficiency which revealed the inadequacy of image interpretation training and the need for additional on-the-job support. The third theme was the inconspicuous radiographer role which showcased the potential opportunities for radiographers to aid in filling the gaps in the image interpretation system.

CONCLUSION

Medical doctors in this low-resource setting experience significant delays in radiology image interpretation, leading to compromised patient management. Their training in image interpretation is inadequate, and they often lack on-the-job support. Radiographers potentially play a role in image interpretation which may provide solutions to these contextual challenges.

IMPLICATIONS FOR PRACTICE

There is a need to review and develop a comprehensive image interpretation system that effectively supports medical doctors in image interpretation, possibly involving the collaboration of radiographers.

The Effects of Various Teaching Methods on Chest X-ray Interpretation Skills Among Medical Students and Interns: A Systematic Review

Chest X-ray (CXR) is a common tool used in medical practice. Medical students and interns should acquire knowledge of CXR interpretation, as it is an essential diagnostic tool for a large spectrum of diseases. This systematic review aimed to compare the effect of different intervention techniques on the competency of medical students and interns to demonstrate the level of confidence and competence in interpreting common presentations of CXRs. The population, intervention, comparison, and outcomes (PICO) framework was used to formulate the review question. All related articles in five databases (PubMed, Web of Science, Scopus, Medline, and Embase) were retrieved and the search was completed in March 2023 with no limiters on date and time. The number of relevant studies was 469. A multi-level approach through the Rayyan platform was used for the screening and exclusion processes. Eleven articles were included in the systematic review consisting of eight randomized controlled trials, one quasi-experimental study, one cross-sectional study, and one interventional cohort. Results showed significant effects of teaching methods utilizing deductive or inductive approach, clinical history, patient care comfort survey, and SAFMEDS (Say-All-Fast-Minute-Every-Day-Shuffled). Contrarily, no significant effect was shown by flipped classroom models and mixed and blocked practice, peer-assisted learning vs. expert-assisted learning, and Chester, an artificial intelligence tool. This review identified beneficial approaches that may enhance the learning outcomes of interpreting CXRs for medical students and interns, highlighting the remarkable impact of SAFMEDS on medical students' ability to identify CXR findings as well as the availability and practicality of online and e-learning resources for students.