Evidence map›Paper›PMID 39696163›Full record

ArticleBMC medical education2024

Computer case-based reasoning simulation versus traditional lectures for medical interns teaching of diagnosis and antibiotic prescribing for acute respiratory infection: a comparative quasi-experimental study.

Fatemeh Rangraz Jeddi, Mansooreh Momen-Heravi, Razieh Farrahi, Ehsan Nabovati, Hossein Akbari, Maryam Edalati Khodabandeh

Abstract readComparative Study
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Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Fatemeh Rangraz JeddiHealth Information Management Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Mansooreh Momen-HeraviInfectious Diseases Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Razieh FarrahiDepartment of Health Information Technology, Ferdows Faculty of Medical Sciences, Birjand University of Medical Sciences, Birjand, Iran. Farrahir1@gmail.com.ORCID http://orcid.org/0000-0001-8995-9637
Ehsan NabovatiHealth Information Management Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Hossein AkbariSocial Determinants of Health (SDH) Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Maryam Edalati KhodabandehDepartment of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

Kashan University of Medical Sciences 98225
6 · The paper itself

Abstract

backgroundAcute respiratory infections are a common presentation in clinical practice and medical interns must learn proper diagnosis and antibiotic prescribing. Traditional lecture-based teaching may not provide sufficient opportunities for students to apply their knowledge in realistic scenarios, whereas computer case-based simulations offer an alternative approach that allows active learning and decision-making in simulated patient cases. This study investigated the effectiveness of computer case-based reasoning simulation versus traditional lectures for medical interns teaching of diagnosis and antibiotic prescribing for acute respiratory infections.

methodsThis comparative quasi-experimental study was conducted from 2020 to 2022 in the Department of Infectious Diseases at Shahid Beheshti Hospital, affiliated to Kashan University of Medical Sciences. The samples were selected using a convenience method and assigned to the intervention and control groups using a permuted block randomization approach. Over a period of ten months (Each month, an average of eight medical interns), a total of 40 medical interns received traditional lecture-based teaching, while another 40 medical interns were taught using a Computer Case-based Reasoning simulation. The medical interns' knowledge in both groups was assessed using pre- and post-tests. The collected data from the pre- and post-tests were then analyzed statistically using paired t-tests, independent t-tests, and ANCOVA.

resultsThe posttest scores of the medical interns in both groups were significantly higher than the pretest scores (P < 0.001). No statistically significant differences were observed between the two teaching methods regarding mean knowledge gains in diagnoses and antibiotic prescribing practices. (P > 0.21). The results of the ANCOVA, after controlling for pre-test scores, showed no statistically significant difference between the two teaching methods in their effect on medical interns' diagnostic and antibiotic prescribing performance (P > 0.33).

conclusionThe study found that both computer case-based reasoning simulation and traditional lectures were effective in improving medical interns' knowledge of diagnosis and antibiotic prescribing practices for acute respiratory infections. However, no statistically significant differences were observed between the two teaching methods. Thus, computer- based simulation could replace face-to-face teaching when this method is impractical or computerized methods are more cost-effective.

Indexed as

Anti-Bacterial AgentsInternship and ResidencyRespiratory Tract InfectionsAcute DiseaseAdultClinical CompetenceComputer SimulationEducational MeasurementFemaleHumansMaleProblem-Based LearningSimulation TrainingAnti-Bacterial AgentsAnti-bacterial agentsEducationMedicalPrescriptionsProblem-based learningRespiratory tract infections

Identifiers

PMID39696163
PMCPMC11654372

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.