In recent times, online teaching and assessment have provided a great opportunity to explore better methods in medical education. There are inconsistent views concerning the effectiveness of online assessment. Hence, the present study aimed to evaluate online teaching and assessment methods in relation to face-to-face methods by comparing students' performances. The students' assessment results in two basic anatomy courses, which are part of the Doctor of Medicine and Biomedical Sciences programs at Sultan Qaboos University, were analysed. We compared the students' mean scores and coefficient of variance in the multiple-choice written exams and the objective structured practical exams during the spring semesters of 2019, 2020, and 2021, containing face-to-face teaching and exams, partial online teaching and online exams, and online teaching and both proctored online and face-to-face exams, respectively. The sudden transition to online teaching and assessment halfway through the semester resulted in higher means and a lower coefficient of variance among students' scores in both theory and practical exams. However, when the fully adopted online method of teaching and assessment was employed, the mean scores decreased, and the coefficient of variance increased to figures close to those witnessed before the pandemic, when teaching and assessment were face-to-face. This trend applied to both the Doctor of Medicine and Biomedical Sciences programs' anatomy courses. The results indicate that online assessment of theoretical and practical anatomical knowledge is comparable to that of face-to-face assessment. However, proper planning and preparedness are mandatory to achieve the desired outcomes.
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http://dx.doi.org/10.3390/ijerph192013318 | DOI Listing |
J Cancer Res Ther
December 2024
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.
Background: Patients with transplant-ineligible relapsed/refractory diffuse large B-cell lymphoma (R/R DLBCL) have limited treatment options and poor outcomes.
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JAMA Health Forum
January 2025
Division of General Internal Medicine, University of Pennsylvania, Philadelphia.
Importance: Dual-eligible older adults rely on Medicaid to pay for Medicare premiums and cost sharing in addition to supplemental services including dental and long-term care. However, the unique experiences of dual-eligible older adults with Medicaid unwinding remain unknown.
Objective: To assess the awareness and experiences of dual-eligible older adults with Medicaid redetermination.
Am J Phys Med Rehabil
January 2025
Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
People with disabilities have recently been declared a population at increased risk of health disparities, and research has cited a lack of physician training as a cause of that increased risk. Prior studies demonstrate that physicians lack confidence in caring for people with disabilities, but there is little research on disability competency among medical students. This study assessed medical students' confidence in six disability-related competencies and tested for associations between perceived confidence and students' personal demographics and institutional characteristics.
View Article and Find Full Text PDFJ Occup Health
January 2025
Panasonic Corporation, Department Electric Works Company/Engineering Division, Osaka, Japan.
Background: Falls are among the most prevalent workplace accidents, necessitating thorough screening for susceptibility to falls and customization of individualized fall prevention programs. The aim of this study was to develop and validate a high fall risk prediction model using machine learning (ML) and video-based first three steps in middle-aged workers.
Methods: Train data (n=190, age 54.
Mol Divers
January 2025
Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Diseases Ministry of Education, Jiangxi Province Key Laboratory of Biomaterials and Biofabrication for Tissue Engineering, Gannan Medical University, Ganzhou, 341000, Jiangxi, China.
Identifying drug-target binding affinity (DTA) plays a critical role in early-stage drug discovery. Despite the availability of various existing methods, there are still two limitations. Firstly, sequence-based methods often extract features from fixed length protein sequences, requiring truncation or padding, which can result in information loss or the introduction of unwanted noise.
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