Background Cyberbullying is a modern form of bullying that could be practiced electronically or on the internet. It is related to different mental health issues such as depression, which can affect both the cyberbully and the victim. Although a few studies have been conducted regarding the prevalence of cyberbullying and cyber-victimization among the younger generation in Qatar, no studies have been conducted among young adults despite studies showing that they are also prone to cyberbullying. Methods This is a cross-sectional study to investigate the prevalence and the relationship between cyberbullying, cyber-victimization, and depression symptoms among Qatar University students. A self-administered close-ended electronic questionnaire was used to assess student’s cyberbullying/cyber-victimization behaviors and depression symptoms. The Revised Cyberbullying Inventory scale (RCBI-II) and Patient Health questionnaire-9 (PHQ-9) were utilized to measure involvement in cyberbullying and depression symptoms, respectively. A total of 836 students participated in the study. Pearson Chi-Square test and binary logistic regression were conducted to analyze the data. Results Results indicated the majority of students have been involved in cyberbullying as follows: 6.8% cyberbullies, 29.2% cybervictims, 35.8% cyberbully-victims, and 28.2% not involved in either. Approximately 50% of the students scored a ten or higher on the PHQ9 test indicating symptoms of depression. Moreover, significant associations were found between cyberbullying experiences and gender (p = 0.03), depression and gender (p = 0.046), and between cyberbullying experiences and depression (p<0.001). Conclusion Our findings indicate that among Qatar University students, cyberbullying and cyber-victimization are prevalent behaviors that could be associated with the high reported rates of depression symptoms.

Maintaining integrity and validity with online assessment is a significant issue that is well documented. Overt policies encouraging educators to adopt e-Learning and implement digital services coupled with the dramatic change in the education system in response to the challenges posed by COVID-19, has furthered the demand for evidence-based approaches for the planning and delivery of assessments. This study employed the Assessment Design Decision Framework (ADDF), a theoretical model that considers key aspects of assessment design, to retrospectively investigate from a multi-stakeholder perspective the assessments implemented following the rapid transition to remote learning during the COVID-19 pandemic. One-to-one semi-structured interviews were conducted with faculty and students from the Colleges of Pharmacy, Medicine and Health Sciences. After inductive and deductive thematic analysis three major themes were identified. These reflected on the impact of sudden transition on assessment design and assessment plan; changing assessment environment; and faculty-student assessment related interactions which included feedback. The use of a comprehensive validated framework such as ADDF, to plan assessments can improve validity and credibility of assessments. The strengths of this study lie in the innovative adoption of the ADDF to evaluate assessment design decisions from both an educator and student perspective. Further, the data yielded from this study offers novel validation of the use of ADDF in circumstances necessitating rapid transition, and additionally identifies a need for greater emphasis to be attributed to the significance of timeliness of the various activities that are advocated within the framework.

Diabetes self-management (DSM) practices are an important determinant of health-related outcomes, including health-related quality of life (HRQOL). The purpose of this study is to explore DSM practices and their relationship with the HRQOL of patients with type 2 diabetes in primary health care centers (PHCCs) in Qatar. In this cross-sectional study, data were collected from PHCC patients with diabetes via interview-administered questionnaires by utilizing two instruments: the DSM questionnaire (DSMQ) and the HRQOL Short Form (SF-12). Frequencies were calculated for categorical variables and medians were calculated for continuous variables that were not normally distributed. A statistical comparison between groups was conducted using chi-square for categorical data. Binary logistic regression was utilized to examine the relationship between the significant independent factors and the dependent variables. A total of 105 patients completed the questionnaire, 51.4% of whom were male. Approximately half of the participants (48.6%) reported poor overall DSM practices, and 50.5% reported poor physical health quality of life (PC) and mental health quality of life (MC). Female participants showed significantly higher odds of reporting poor DSM than male participants (OR, 4.77; 95% CI, 1.92–11.86; p = 0.001). Participants with a secondary education (OR, 0.18; 95% CI, 0.04–0.81; p = 0.025) and university education (OR, 0.18; 95% CI, 0.04–0.84; p = 0.029) showed significantly lower odds of reporting poor DSM than participants with no/primary education. Older participants showed higher odds of reporting poor PC than younger participants (OR 11.04, 95% CI, 1.47–82.76 and OR 8.32; 95% CI, 1.10–62.86, respectively). Females also had higher odds for poor PC than males (OR 7.08; 95% CI, 2.21–22.67), while participants with a secondary (OR, 0.13; 95% CI, 0.03–0.62; p = 0.010) and university education (OR, 0.11; 95% CI, 0.02–0.57; p = 0.008) showed significantly lower odds of reporting poor MC. In conclusion, patients with diabetes reported poor overall DSM practices and poor HRQOL. Our findings suggest intensifying efforts to deliver culturally appropriate DSM education to patients and to empower patients to take charge of their health.

Background Although evidence shows that diabetes self-management education and support (DSMES) is an effective tool to help individuals with type 2 diabetes (T2DM) improve their health outcomes, there remains a large number of individuals not attending DSMES. Understanding how frequently patients receive referrals to DSMES and the number of DSMES hours they receive is important to determine, as well as patients’ health outcomes of utilizing DSMES. This will help us understand patterns of utilization and the outcomes that occur when such a valuable resource is utilized. Methods Secondary data analysis was conducted of patient electronic medical records at a primary healthcare federally qualified clinic and 2 area hospitals. We identified 105 adult patients with a new T2DM diagnosis with at least 2 A1c lab results 3 to 12 months apart during the study period. Results Only 53.5% were referred to DSMES. Out of those who were referred, 66% received no DSMES, 17% received 1-hour assessment, 4% received partial DSMES, and 13% received 8 or more hours. Linear regression of percent change in A1c and number of DSMES hours received, revealed that receiving 1 ( P = .001) or 8 or more hours of DSMES ( P = .022) had a significant negative relationship with the percent difference in A1c compared to the group who received no DSMES. Patients who had an hour of assessment had a similar percent reduction in A1c to those who had partial DSMES. Conclusion Referral rates and enrollment in DSMES remain low. Those who enrolled often dropped out after the one-hour assessment session. Results suggest making the one-hour assessment session more educationally comprehensive or longer to retain patients. Improving the DSMES referral process and further investing physicians’ decisions on whether to refer or not refer patients to DSMES are key for future studies.

The outbreak of the pandemic Covid-19 has transformed the education system in most countries worldwide. Following the lockdown measures in Malaysia, the Malaysian education system has fully transformed from conventional learning to online learning or known as e-learning as an alternative to minimize social contacts and physical communication to curb the transmission of Covid-19. In this regard, this study aims to identify the challenges faced by students in higher learning institutions throughout Malaysia during the implementation of the e-learning program. This study is based on a large sampling consisting of 2394 students from both public and private universities. The result from this study is analyzed through inferential methods such as the Spatial Analysis, the Principal Component Analysis, and the Mann–Whitney U test and through descriptive methods using the frequency analysis and the percentage analysis. Findings from this study suggest that location significantly influenced the challenges faced by students throughout the implementation of e-learning in higher learning institutions. For example, students in rural areas which can be identified as “vulnerable groups” are more likely to face both technical and connection with the internet access, tend to have a declining focus on learning and are prone to physical health problems, facing social isolation and low digital literacy compared to students in urban areas. Based on geographical analysis, students in Sabah, Perlis, and Melaka are most at risk of facing e-learning challenges. An anomaly case of students in Kuala Lumpur, however, posed another different result compared to other cities as they confront similar challenges with students in rural areas. This study provides the nuances of location and its implications for vulnerable groups that may put them at disadvantage in the e-learning program. Findings from this study will help to inform the relevant authorities and policymakers in improving the implementation of e-learning in Malaysia, especially towards the vulnerable groups so that it can be delivered more systematically and efficiently.