Background Since the coronavirus outbreak, many countries have replaced traditional education with virtual education in order to prevent the disease spread, and also avoid stopping education. The aim of the present study was to assess the virtual education status at Khalkhal University of Medical Sciences during the covid-19 pandemic from the perspective of students and faculty members. Methods This is a descriptive-cross-sectional study that was conducted between December 2021and February 2022. The study population included faculty members and students who were selected by consensus. Data collection instruments included demographic information form and a virtual education assessment questionnaire. Data analysis was carried out using independent T-test, one sample T-test, Pearson Correlation, and ANOVA test in SPSS software. Results A total of 231 students and 22 faculty members of Khalkhal University of Medical Sciences participated in the present study. The response rate was 66.57%. The mean and standard deviation of assessment scores of students (3.3 ± 0.72) were lower than those of faculty members (3.94 ± 0.64), which showed a statistically significant difference (p < 0.01). User access to the virtual education system (3.8 ± 0.85) and lesson presentation (4.28 ± 0.71) obtained the highest scores from the perspective of students and faculty members, respectively. There was a statistically significant association between employment status and the assessment score of faculty members (p = 0.01), and the field of study (p < 0.01), the year of university entrance (p = 0.01), and the assessment score of students. Conclusion The results showed a higher than mean assessment score in both groups of faculty members and students. There was a difference between faculty members and students in terms of virtual education scores in the parts that require the creation of better processes and more complete capabilities in the systems, which seems that more detailed planning and reforms will improve the process of virtual education.

Background Trauma is a major cause of death worldwide, especially in Low and Middle-Income Countries (LMIC). The increase in health care costs and the differences in the quality of provided services indicates the need for trauma care evaluation. This study was done to develop and use a performance assessment model for in-hospital trauma care focusing on traffic injures. Methods This multi-method study was conducted in three main phases of determining indicators, model development, and model application. Trauma care performance indicators were extracted through literature review and confirmed using a two-round Delphi survey and experts’ perspectives. Two focus group discussions and 16 semi-structured interviews were conducted to design the prototype. In the next step, components and the final form of the model were confirmed following pre-determined factors, including importance and necessity, simplicity, clarity, and relevance. Finally, the model was tested by applying it in a trauma center. Results A total of 50 trauma care indicators were approved after reviewing the literature and obtaining the experts’ views. The final model consisted of six components of assessment level, teams, methods, scheduling, frequency, and data source. The model application revealed problems of a selected trauma center in terms of information recording, patient deposition, some clinical services, waiting time for deposit, recording medical errors and complications, patient follow-up, and patient satisfaction. Conclusion Performance assessment with an appropriate model can identify deficiencies and failures of services provided in trauma centers. Understanding the current situation is one of the main requirements for designing any quality improvement programs.

BACKGROUND: Increased fear and anxiety among the general public following the emergence of coronavirus 2019 (COVID-19) can lead to hypochondriasis as well as indiscriminate use of drugs, versus the disease. OBJECTIVE: The present study was conducted to identify the frequency and causes of self-medication and hypochondriasis among students. METHODS: This descriptive cross-sectional study was conducted among 241 students of different disciplines of Khalkhal University of Medical Sciences in northwestern Iran over a period of six months. SPSS 26 software, Chi-square and Fisher tests were used to analyze the data. RESULTS: The rate of self-medication was calculated 51%. The highest rate of self-medication was in the form of tablets (75.6%) and capsules (28.5%) and the highest type of medication was herbal medicine (59.3%) and multivitamins and complementary drugs (54.5%). The most common cause of self-medication was previous use and the effectiveness of the drug in the past (79.7%). The mean score of hypochondriasis was calculated at 21.52 (11.02) and the majority of students (49.8%) were in the healthy group. There was a statistically significant association between hypochondriasis and self-medication (p = 0.002). CONCLUSION: Based on the findings, more than half of the participants in the study had self-medication. About 20% of students also experienced mild to moderate hypochondriasis. Therefore, it is suggested that the necessary training and support be provided to deal with the side effects of these two phenomena.

BACKGROUND: Nurses, as the largest working group in the hospital, experience many problems, conflicts, and stressors in the workplace and family especially after the widespread distribution of coronavirus 2019 (COVID-19). OBJECTIVE: The perceived conflict and burnout among nurses, as well as the correlation between these two variables and the associated factors, were the main subjects of this study. METHODS: This cross-sectional study involved 256 nurses from three COVID-19 referral hospitals in northwest Iran. Participants completed demographic, work-family conflict (WFC), and burnout questionnaires. The nonparametric tests including Mann-Whitney U, Kruskal-Wallis, and Spearman correlation coefficient were applied to statistical analysis. RESULTS: The overall score of conflict was 55.3 (12.7). The time dimension received the highest score 11.4 (2.9). In terms of intensity 27.6 (8.7) and frequency 27.6(8.8), nurses had the most burnout in the lack of personal accomplishment dimension. All aspects of WFC, emotional exhaustion, and depersonalization characteristics of burnout had statistically significant positive correlations (p < 0.01). The ward, hospital and employment status variables were associated with WFC (p < 0.05). The association between taking the crisis management course and the severity of depersonalization, and the frequency of lack of personal accomplishment was confirmed (p < 0.01). Additionally, the frequency and severity of emotional exhaustion were associated with employment status and work experiences (p < 0.05). CONCLUSION: The findings showed that nurses had WFC and burnout rates that were above average. Regarding the negative effects of these two phenomena on health, and also nurse’s clinical practices, rearranging work conditions and providing better organizational support seem necessary.