METHOD: This is a behavioral randomized controlled trial of patient education intervention with video narratives for patients with stroke lacking medication understanding and use self-efficacy. The study will recruit up to 200 eligible stroke patients at the neurology tertiary outpatient clinic, whereby they will be requested to return for follow-up approximately 3 months once for up to 12 months. Consenting patients will be randomized to either standard patient education care or intervention with video narratives. The researchers will ensure control of potential confounding factors, as well as unbiased treatment review with prescribed medications only obtained onsite.
RESULTS: The primary analysis outcomes will reflect the variances in medication understanding and use self-efficacy scores, as well as the associated factors, such as retention of knowledge, belief and perception changes, whereas stroke risk factor control, for example, self-monitoring and quality of life, will be the secondary outcomes.
DISCUSSION AND CONCLUSION: The study should be able to determine if video narrative can induce a positive behavioral change towards stroke risk factor control via enhanced medication understanding and use self-efficacy. This intervention is innovative as it combines health belief, motivation, and role model concept to trigger self-efficacy in maintaining healthy behaviors and better disease management.
TRIAL REGISTRATION: ACTRN (12618000174280).
AIM: To determine the correlation between STH infection with serum iron (SI) level on primary school children, as well as to determine the prevalence of SI level and worm infection, and the type of worm that infects the most of them.
METHODS: This study was conducted in the cross-sectional method. Consecutive sampling technique was used and a total of 132 students age 8-12 years old were included. The study took places in Public Primary School 060925 Amplas, Medan and 101747 Hamparan Perak, Deli Serdang throughout May-October 2016. Fisher Exact test was used to analyse the correlation between STH infection and SI level.
RESULTS: The prevalence of STH infection was 7.6%, and low SI was 11.4%.
CONCLUSION: There was no significant correlation between STH infection and SI level (P = 0.317). The prevalence of low SI level was not significantly dependent on STH infection (RP = 1.877, 95% CI = 0.481-7.181).
METHODS: We chose a double-blinded pragmatic randomized-controlled with factorial design for this investigation. The trial is going to recruit 1648 hypertensive patients with coronary artery disease at the age of 21 to 70 years. All participants will already be on anti-hypertensive medication and own a smartphone. They will be randomized into four groups with each having 412 participants. The first group will only receive standard care; while the second group, in addition to standard care, will receive monthly Ed-counselling (educational booklets with animated infographics and peer counseling); the third group will receive daily written and voice reminders and an education-led video once weekly together with standard care; while the fourth one gets both interventions given to second and third groups respectively. All groups will be followed-up for 1 year (0, 6, and 12 months). The primary outcome will be the change in systolic blood pressure while secondary outcomes include health-related quality of life and changes in medication adherence. For measuring changes in systolic blood pressure (SBP) and adherence scores difference at 0, 6, and 12 months between and within the group, parametric (ANOVA/repeated measure ANOVA) and non-parametric tests (Kruskal-Wallis test/Friedman test) will be used. By using the general estimating equation (GEE) with negative binomial regression, at 12 months, the covariates affecting primary and secondary outcomes will be determined and controlled. The analysis will be intention-to-treat. All the outcomes will be analyzed at 0, 6, and 12 months; however, the final analysis will be at 12 months from baseline.
DISCUSSION: Besides adding up to existing evidence in the literature on the subject, our designed modules using mHealth technology can help in reducing hypertension-related morbidity and mortality in developing countries.
MATERIALS AND METHODS: This cross-sectional study involved 150 subjects attending the Primary Care Unit with no history of orthodontic treatment. The Dental Aesthetic Index (DAI) with 10 occlusal characteristics were measured on study models. Oral health-related quality of life (OHRQoL) was assessed with the Malaysian version of the Oral Health Impact Profile questionnaire (OHIP-14). The Spearman rank-order correlation coefficient was used to evaluate the relationship between the malocclusion and quality of life.
RESULTS: Significantly weak correlations (r = .176) were found between the DAI and the OHRQoL. Females and the younger age group (12-19 years) tended to score higher on the OHIP-14 than their counterparts. For males, domain 3 (psychological discomfort; r = .462), domain 4 (physical disability; r = .312), domain 7 (handicap; r = .309), and overall score (r = .289) were weak correlates but significant to the DAI compared with females. The older age group showed a significant weak correlation in domain 3 (psychological discomfort; r = .268) and domain 7 (handicap; r = .238), whereas the younger age group showed no correlation with any domain.
CONCLUSIONS: The DAI score does not predict the effect of malocclusion on the OHRQoL.
METHODOLOGY: The Cochrane Central Register of Controlled Trials (CENTRAL) and PubMed (1985-January 2022) and trial registries for relevant randomised clinical trials were used. Relevant and published randomised clinical trials were reviewed and evaluated. The primary outcomes were anthropometry measurements, which were weight, waist circumference, body mass index (BMI), and body fat percentages. The secondary outcomes were changes in quality of life, psychological impact, lipid profile measurement, presence of adverse events, and changes in blood pressure and blood glucose. We assessed the data for risk of bias, heterogeneity, sensitivity, reporting bias, and quality of evidence.
RESULTS: 15 studies are included, involving 1161 participants. The analysis performed is based on three comparisons. For the first comparison between yoga and control, yoga reduces the waist circumference (MD -0.84, 95% CI [-5.12 to 3.44]), while there is no difference in body weight, BMI, or body fat percentages. In the second comparison between yoga and calorie restriction, yoga reduces body weight (MD -3.47, 95% CI [-6.20 to -0.74]), while there is no difference in waist circumference, BMI, or body fat percentage. In the third comparison between yoga and exercise, yoga reduces the body weight (MD -7.58, 95% CI [-11.51 to -3.65]), while there is no difference in waist circumference or BMI. For the secondary outcomes, yoga intervention reduces total cholesterol (MD -17.12, 95% CI [-32.24 to -2.00]) and triglycerides (MD -21.75, 95% CI [-38.77 to -4.73]) compared to the control group, but there is no difference compared to the calorie restriction and exercise group. There is no difference in the rest of the outcomes, which are LDL, HDL, quality of life, psychological impact, adverse events, blood pressure, and blood glucose. However, findings are not robust due to a high risk of bias and low-quality evidence.
CONCLUSION: From our review, there were methodological drawbacks and very low to moderate quality of evidence across all comparisons, and hence, it is inconclusive to say that yoga can significantly improve anthropometric parameters. More well-designed trials are needed to confirm and support the beneficial effects of yoga.