Background: Assessing students’ learning readiness has become more important to establish on-target learning and teaching environments, particularly since blended learning and online learning are widely implemented in medical education. This study aims (1) to examine the reliability and validity of Online Learning Readiness Scale (OLRS) and (2) to identify the levels of online learning readiness for blended learning methods using virtual reality and its associations. Methods: A cross-sectional study with 102 fifthyear medical students was conducted. The data were analyzed through exploratory factor analysis and confirmatory factor analysis. Pearson correlation analysis was utilized to investigate the relationships among dimensions of OLRS. Results: The VN-version of the OLRS scale consists of 16 items in four dimensions, namely Self-directed learning - SDL, Motivation for learning - MFL, Computer & Internet self-efficacy - CIS, Online communication self-efficacy - OCS. Confirmatory factor analysis indicates the model fit of the OLRS scale in a blended learning course context. The composite reliability and construct validity of the scale was found to be within the acceptable range. Students showed high readiness for blended learning course, of which SDL was the dimension having the highest score of readiness, followed by MFL and CIS dimensions. There were positive correlations across all dimensions of OLRS (p<0.001). Statistically significant associations were found between gender, health professional orientation, computer self-efficacy and their experience of medical education environment and dimensions of OLRS. Conclusion: The results indicate that the OLRS is a reliable and valid measurement tool in the assessment of online learning readiness levels of blended learning course using virtual reality. It is recommended to develop a reliable scale to assess the perceptions and readiness of instructors undertaking the move to blended teaching. Key words: confirmatory factor analysis, blended learning, Online Learning Readiness Scale, virtual reality, medical education

Background: Undernutrition is a significant risk factor for mortality, complications, hospital infections, length of hospital stay, quality of life, and prognosis. Patients with proper nutrition will help prevent undernutrition, prevent the development of the disease, and improve the effectiveness of treatment. Nutrition is an integral part of the comprehensive treatment process. Nutritional risk screening is one criterion that shows the hospital’s nutritional care capacity. Assessing nutritional status plays an essential role in treating and recovering health. This study aims (1) to screen and assess the nutritional status of inpatients aged from 60 years old in Hue University Medicine and Pharmacy Hospital and (2) to identify some factors related to malnutrition. Methods: A cross-sectional study was carried out on 389 inpatients at two departments of internal medicine, Hue University of Medicine and Pharmacy Hospital, from 11/2020 - 03/2021. We used the mini nutritional assessment tool for screening nutrition risks. The subjective global assessment tool was used to assess nutritional status and questionnaires to understand some related factors. Results: There were 68.9% of patients at risk of malnutrition and 38.8% of patients had malnutrition. There were significant relationships between the nutrition status of patients with re-admitted status (p < 0.05), including diseases (p < 0.05), oral pathology (p < 0.05), decreased taste (p < 0.05). Conclusion: The prevalence of inpatients with nutritional risk in two departments of internal medicine was relatively high. It is necessary to conduct nutrition screening in all inpatients to improve the effectiveness of treatment and comprehensive care. Key words: malnutrition, inpatients, nutrition treatment, subjective global assessment tool, mini nutritional assessment tool.