METHODS: An online well-structured and validated faculty self-perceived competency questionnaire was used to collect responses from medical faculty. The questionnaire consisted of four purposely build sections on competence in student engagement, instructional strategy, technical communication and time management. The responses were recorded using a Likert ordinal scale (1-9). The Questionnaire was uploaded at www.surveys.google.com and the link was distributed through social media outlets and e-mails. Descriptive statistics and Independent paired t-test were used for analysis and comparison of quantitative and qualitative variables. A p-value of ≤0.05 was considered statistically significant.

Materials and Methods: A qualitative research method was used to generate findings in this study. The data collection methods included focus group discussions and interviews. Triangulation methods were used to ensure the validity and reliability of the qualitative data analyzed in this study. The thematic analysis of the data collected in this study helped to garner insights into the perception of participants and experts about the use of GaMed@™ for the delivery of ECG lessons.

Results: A total number of 32 medical students and four experts in the fields of user experience, communication, social psychology, and game design participated in this study. The findings showed that in spite of the negative reports about the user experience and application of GaMed@™, the participants and experts affirmed its positive impact on the increased motivation and engagement of users.

OBJECTIVE: To investigate the impact of customized CMI (C-CMI) on health-related quality of life (HRQoL) among type 2 diabetes mellitus (T2DM) patients in Qatar.

METHODS: This was a randomized controlled intervention study, in which the intervention group patients received C-CMI and the control group patients received usual care. HRQoL was measured using the EQ-5D-5L questionnaire and EQ visual analog scale (EQ-VAS) at three intervals [i.e. baseline, after 3 months and 6 months].

RESULTS: The EQ-5D-5L index value for the intervention group exhibited sustained improvement from baseline to the third visit. There was a statistically significant difference between groups in the HRQoL utility value (represented as EQ index) at 6 months (0.939 vs. 0.796; p = 0.019). Similarly, the intervention group compared with the control group had significantly greater EQ-VAS at 6 months (90% vs. 80%; p = 0.003).

Methods: A total of 568 adolescents were participated in quantitative surveys, and of these participating adolescents, 6 were further invited to join focus group interviews.

Findings: Quantitative findings supported the mediating role of communication disturbance in the relationships between phone obsession and familial connectedness, school connectedness, and self-connectedness, but not for friendship connectedness. Qualitative findings further elucidated the detrimental effect of phone obsession on their sense of belonging from the perspectives of adolescents.

METHODS: We surveyed one key stakeholder from each of 27 countries with expertise in survivorship care on questions including the components/structure of follow-up care, delivery of treatment summaries and survivorship care plans, and involvement of primary care in survivorship. Descriptive analyses were performed to characterize results across countries and variations between the WHO income categories (low, middle, high). We also performed a qualitative content analysis of narratives related to survivorship care challenges to identify major themes.

RESULTS: Seven low- or /lower-middle-income countries (LIC/LMIC), seven upper-middle-income countries (UMIC), and 13 high-income countries (HICs) were included in this study. Results indicate that 44.4% of countries with a National Cancer Control Plan currently address survivorship care. Additional findings indicate that HICs use guidelines more often than those in LICs/LMICs and UMICs. There was great variation among countries regardless of income level. Common challenges include issues with workforce, communication and care coordination, distance/transportation issues, psychosocial support, and lack of focus on follow-up care.

OBJECTIVES: In this paper, the Advanced Human-Robot Collaboration Model (AHRCM) approach is to enhance the risk assessment and to make the workplace involving security robots. The robots use perception cameras and generate scene diagrams for semantic depictions of their environment. Furthermore, Artificial Intelligence (AI) and Information and Communication Technology (ICT) have utilized to develop a highly protected security robot based risk management system in the workplace.

RESULTS: The experimental results show that the proposed AHRCM method achieves high performance in human-robot mutual adaption and reduce the risk.

BACKGROUND: Insulin distress, an emotional response of the patient to the suggested use of insulin, acts as a major barrier to insulin therapy in the management of DM. Addressing patient-, physician- and drug-related factors is important to overcome insulin distress. Strengthening of communication between physicians and patients with diabetes and enhancing the patients' coping skills are prerequisites to create a sense of comfort with the use of insulin. Insulin motivation is key to achieving targeted goals in diabetes care. A group of endocrinologists came together at an international meeting held in India to develop tool kits that would aid a practitioner in implementing insulin motivation strategies at different stages of the journey through insulin therapy, including pre-initiation, initiation, titration and intensification. During the meeting, emphasis was placed on the challenges and limitations faced by both physicians and patients with diabetes during each stage of the journey through insulinization.

REVIEW RESULTS: After review of evidence and discussions, the expert group provided recommendations on strategies for improved insulin acceptance, empowering behavior change in patients with DM, approaches for motivating patients to initiate and maintain insulin therapy and best practices for insulin motivation at the pre-initiation, initiation, titration and intensification stages of insulin therapy.