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: 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.
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: 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