MATERIALS AND METHODS: In this study, a total of 2629 patients for whom orthopantomogram were selected out of 3900 new patients between August 2020 and June 2021. The positioning errors of the radiographs were evaluated and categorized into ten groups. The quality of the radiographs is further assessed as "Excellent," "Diagnostically Acceptable," and "Diagnostically Unacceptable."
RESULTS: Out of the total radiographs, 32.8% had no errors, and 77.2% of the radiographs had one or more positioning errors. The radiographs were analyzed in detail, and the errors found in the panoramic radiographs were recorded. The most common positioning error observed in the radiograph was error 8, failure to place the tongue close to the palate.
CONCLUSION: The results and evaluation inferred that attention to patient positioning and focusing on reducing diagnostically indecent images could improve the quality of panoramic radiographs. Proper instructions to the patient, patient preparation, appropriate positioning of the patient, and the technician's skill plays a vital role in reducing diagnostic errors in Panoramic Radiography.
AIM: This study aims to explore the factors influencing students' satisfaction with e-learning during the COVID-19 crisis. In particular, it tests multiple mediations, student factors, and system quality between students' satisfaction and each course evaluation and instructor's performance.
METHODOLOGY: In this cross-sectional study, 258 undergraduate and postgraduate students enrolled in online courses at multiple Malaysian universities were recruited using non-probabilistic purposive sampling. Data were collected using a questionnaire that assessed four factors that influenced students' satisfaction with e-learning during the COVID-19 crisis (i.e., instructor performance, course evaluation, student factors, and system quality) and analyzed using the partial least squares route structural equation modelling (PLS-SEM).
RESULTS: The results indicated that the four factors were significantly associated with students' satisfaction with e-learning during COVID-19. Student factors and system quality were the most factors predicting students' satisfaction with e-learning. Findings indicate statistically significant relationships between the instructor's performance, student factors, course evaluation, and system quality on students' satisfaction. Furthermore, the results depict that both course evaluation and system quality serially mediate the relationship between instructors' performance and students' satisfaction.
CONCLUSION: This study finds that improving and enhancing student factors and system quality is critical for students' satisfaction with e-learning. Furthermore, e-learning platforms should contain new advances of computer-mediated technologies that enable collaboration, which is a critical factor in the success of e-learning systems.