درخت حوزه‌های تخصصی

Abstract Objective: Multiple sclerosis is a chronic and disabling disease. The purpose of the present research was to examine the effectiveness of cognitive-behavioral stress management training on the resilience of patients with multiple sclerosis Method: This research was a quasi-experimental design with pre-test, post-test and follow-up, and a control group. The statistical population included female patients with MS referred to the Dr. Shahbigi Neurology Clinic in Tehran. 30 patients were selected by purposeful sampling method and assigned to the two groups experimental and control group randomly. The experimental group underwent ten sessions of stress management training based on the Cognitive Behavioral Model. Data were collected using the Connor Davidson Resilience Scale. Research data were analyzed using Mixed Repeated Measures ANOVA. Results: The results revealed that cognitive-behavioral stress management training can significantly enhance the resilience of patients with MS. Conclusion: Therefore, the use of cognitive-behavioral stress management training can be effective in improving the resilience of patients with MS.

The upheaval time of COVID-19 highlighted the importance of an effective way of teaching English to the front-line healthcare workers such as medical doctors and researchers with different digital-divide status, particularly in non-English-speaking countries because they were first-hand users of critical pandemic-related information in mostly-English articles published online by scientific journals. This study attempted to investigate the pedagogical effects of utilizing the two main User-Generated Content (UGC) platforms in E-learning, namely LMS vs. LXP, on the results of the Electronic Ministry of Health Language Examinations (E-MHLE) among Iranian English for Medical Purposes (EMP) learners across their digital-divide status (digital natives vs. digital immigrants) during the COVID-19 pandemic. A series of focus-group E-interviews were conducted to determine the reasons behind the lowest scores among the participants and to find out possible suggestions for success in high-stake E-tests. To this end, 272 EMP learners who were users of LMS and LXP were conveniently selected from a university of medical science to participate in this sequential explanatory mixed-method research. The results of descriptive and inferential statistics showed that the LXP group outperformed the LMS one in the results of E-MHLE. Moreover, the digital natives obtained higher scores than the digital immigrants in both groups but the difference was not significant in the LXP. The findings of the E-interviews were thematically analyzed and discussed. The findings of this study might offer practical and realistic benefits to the whole EMP community, particularly policymakers for the post-COVID-19 era.