METHODS: 71 patients from 18 facilities participated in the 8-week single-arm intervention study. GRVOTS mobile apps were installed in their mobile apps, and patients were expected to fulfill tasks such as providing Video Direct Observe Therapy (VDOTS) daily as well as side effect reporting. At 3-time intervals of baseline,1-month, and 2-month intervals, the number of VDOT taken, the Malaysian Medication Adherence Assessment Tool (MyMAAT), and the Intrinsic Motivation Inventory (IMI) questionnaire were collected. One-sample t-test was conducted comparing the VDOT video adherence to the standard rate of 80%. RM ANOVA was used to analyze any significant differences in MyMAAT and IMI scores across three-time intervals.
RESULTS: This study involved 71 numbers of patients from 18 healthcare facilities who showed a significantly higher treatment adherence score of 90.87% than a standard score of 80% with a mean difference of 10.87(95% CI: 7.29,14.46; p
METHOD: A multicenter cross-sectional observational study was conducted in 388 diabetes patients attending daily diabetes clinics and teaching hospitals in Pakistan's twin city between August 2019 and February 2020. The chi-square test and linear regression were used to detect RLS-related factors in type 2 diabetes mellitus.
RESULTS: The prevalence of RLS found was; 3.1% patients with diabetes were suffering from very severe RLS, 23.5% from severe RLS, 34% from moderate RLS, 21.1% from mild RLS and 18.3% from non-RLS. Gender, age, education, blood glucose fasting (BSF), blood glucose random (BSR) and HBA1c were found to be significant predictors of RLS in patients with diabetes.
CONCLUSION: Policy makers can develop local interventions to curb the growing RLS prevalence by keeping in control the risk factors of RLS in people living with type 2 diabetes.
METHODS: Data are drawn from survey and in-depth interviews with Thai migrants who are working in Malaysia. Comparisons are made with a probability sample of working age adults in Thailand. The twenty item Self Reporting Questionnaire (SRQ) was the measure of mental health.
RESULTS: The study found that the migrants, on average, have normal levels of psychiatric symptoms. However, although about 24% of migrants reported more eight or more symptoms that may indicate a need for evaluation. There are many stressors in their lives including distance from families, reduced social support, legal matters surrounding immigration, and discrimination/exploitation of migrant groups.
CONCLUSION: The study highlights the need for policy makers and non-governmental organizations to give attention to migrants' mental health, well-being and sustainable livelihoods.
DESIGN: A cross-sectional study administered using an online questionnaire.
SETTING: Conducted in 447 primary schools in a state in Malaysia.
PARTICIPANTS: One school administrator from each school served as a participant.
MEASURES: The questionnaires consisted of 32 items on awareness, policy implementation, and facilitators and barriers to policy implementation.
ANALYSIS: Descriptive analysis was used to describe the awareness, facilitators, and barriers of policies implementation. Association between schools' characteristics and policy implementation was assessed using logistic regression.
RESULTS: The majority (90%) of school administrators were aware of the policies. However, only 50% to 70% of schools had implemented the policies fully. Reported barriers were lack of equipment, insufficient training, and limited time to complete implementation. Facilitators of policy implementation were commitment from the schools, staff members, students, and canteen operators. Policy implementation was comparable in all school types and locality; except the policy on "Food and Drinks sold at the school canteens" was implemented by more rural schools compared to urban schools (odds ratio: 1.74, 95% confidence interval: 1.13-2.69).
CONCLUSION: Majority of the school administrators were aware of the existing policies; however, the implementation was only satisfactory. The identified barriers to policy implementation were modifiable and thus, the stakeholders should consider restrategizing plans in overcoming them.
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.
CONCLUSION: This information can guide researchers, providers, and policy makers in efforts to improve the quality of survivorship care on a national and global basis. As the number of cancer survivors increases globally, countries will need to prioritize their long-term needs. Future efforts should focus on efforts to bridge oncology and primary care, building international partnerships, and implementation of guidelines.
Patients and methods: A nationally representative data of adolescents that consists of 25399 respondents is used. The demographic (age, gender, education) and lifestyle (fruits and vegetables consumption, carbonated soft drink consumption, cigarette smoking, alcohol drinking, sex behaviour, participation in physical education class, obesity) determinants of physical activity are assessed using binomial regression.
Results: The results show that age is negatively associated with time spent in physical activity. However, being male and education levels are positively related to time spent in physical activity. Having unhealthy lifestyle and being obese are associated with low levels of physical activity. Physical education seems to promote participation in physical activity.
Conclusion: In conclusion, demographic and lifestyle factors play an important role in determining levels of physical activity among adolescents. In order to reduce the prevalence of physically inactive adolescents, policy makers should focus primarily on late adolescents, females, adolescents who engage in unhealthy lifestyle and seldom attend physical education classes, as well as obese adolescents.