METHODS: Consensus-driven approach between authors from the six selected countries was applied. Country specific policy documents, official government media statements, mainstream news portals, global statistics databases and latest published literature available between January-October 2020 were utilised for information retrieval. Situational and epidemiological trend analyses were conducted. Country-specific interventions and challenges were described. Based on evidence appraised, a descriptive framework was considered through a consensus. The authors subsequently outlined the lessons learned, challenges ahead and interventions that needs to be in place to control the pandemic.
RESULTS: The total number of people infected with COVID-19 between 1 January and 16 November 2020 had reached 48,520 in Malaysia, 58,124 in Singapore, 3,875 in Thailand, 470,648 in Indonesia, 409,574 in Philippines and 70,161 in Myanmar. The total number of people infected with COVID- 19 in the six countries from January to 31 October 2020 were 936,866 cases and the mortality rate was 2.42%. Indonesia had 410,088 cases with a mortality rate of 3.38%, Philippines had 380,729 cases with a mortality rate of 1.90%, Myanmar had 52,706 cases with a mortality rate of 2.34%, Thailand had 3,780 cases with a mortality rate of 1.56%, Malaysia had 31,548 cases with a mortality rate of 0.79%, and Singapore had 58,015 cases with a mortality rate of 0.05% over the 10- month period. Each country response varied depending on its real-time situations based on the number of active cases and economic situation of the country.
CONCLUSION: The number of COVID-19 cases in these countries waxed and waned over the 10-month period, the number of cases may be coming down in one country, and vice versa in another. Each country, if acting alone, will not be able to control this pandemic. Sharing of information and resources across nations is the key to successful control of the pandemic. There is a need to reflect on how the pandemic affects individuals, families and the community as a whole. There are many people who cannot afford to be isolated from their families and daily wage workers who cannot afford to miss work. Are we as a medical community, only empathising with our patients or are we doing our utmost to uphold them during this time of crisis? Are there any other avenues which can curb the epidemic while reducing its impact on the health and socio-economic condition of the individual, community and the nation?
OBJECTIVE(S): Evaluate the effectiveness of mobile phone reminders and peer counseling in improving adherence and treatment outcomes among HIV positive patients on ART in Malaysia.
METHODS: A single-blind, parallel group RCT conducted in Hospital Sungai Buloh, Malaysia in which 242 adult Malaysian patients were randomized to intervention or control groups. Intervention consisted of a reminder module delivered through SMS and telephone call reminders by trained research assistants for 24 consecutive weeks (starting from date of ART initiation), in addition to adherence counseling at every clinic visit. The length of intended follow up for each patient was 6 months. Data on adherence behavior of patients was collected using specialized, pre-validated Adult AIDS Clinical Trial Group (AACTG) adherence questionnaires. Data on weight, clinical symptoms, CD4 count and viral load tests were also collected. Data was analyzed using SPSS version 22 and R software. Repeated measures ANOVA, Friedman's ANOVA and Multivariate regression models were used to evaluate efficacy of the intervention.
RESULTS: The response rate after 6 months follow up was 93%. There were no significant differences at baseline in gender, employment status, income distribution and residential location of respondents between the intervention and control group. After 6 months follow up, the mean adherence was significantly higher in the intervention group (95.7; 95% CI: 94.39-96.97) as compared to the control group (87.5; 95% CI: 86.14-88.81). The proportion of respondents who had Good (>95%) adherence was significantly higher in the intervention group (92.2%) compared to the control group (54.6%). A significantly lower frequency in missed appointments (14.0% vs 35.5%) (p = 0.001), lower viral load (p = 0.001), higher rise in CD4 count (p = 0.017), lower incidence of tuberculosis (p = 0.001) and OIs (p = 0.001) at 6 months follow up, was observed among patients in the intervention group.
CONCLUSION: Mobile phone reminders (SMS and telephone call reminders) and peer counseling are effective in improving adherence and treatment outcomes among HIV positive patients on ART in Malaysia. These findings may be of potential benefit for collaborative adherence planning between patients and health care providers at ART commencement.
METHOD: A single-blind randomized controlled trial was carried out among 162 oncology patients undergoing chemotherapy from July 2013 to February 2014 in a government hospital with oncology facilities in Malaysia. Participants were randomized to either the intervention group or the control group. Chemotherapy counseling using the module on 'Managing Patients on Chemotherapy' by Pharmacists was delivered to the intervention group. The outcome measures were assessed at baseline, first follow-up and second follow-up and third follow-up post-intervention. Chi-square, independent samples t-test and two-way repeated measures ANOVA were conducted in the course of the data analyses.
RESULTS: In assessing the impact of the chemotherapy counseling module, the study revealed that the module along with repetitive counseling showed significant improvement of quality of life in the intervention group as compared to the control group with a large effect size in physical health (p = 0.001, partial Ƞ2 = 0.66), psychological (p = 0.001, partial Ƞ2 = 0.65), social relationships (p = 0.001, partial Ƞ2 = 0.30), and environment (p = 0.001, partial Ƞ2 = 0.67) and decrease in the anxiety (p = 0.000; partial Ƞ2 = 0.23), depression (p = 0.000; partial Ƞ2 = 0.40).
CONCLUSION: The module on 'Managing Patients on Chemotherapy' along with repetitive counseling by pharmacists has been shown to be effective in improving quality of life and decreasing anxiety and depression among oncology patients undergoing chemotherapy.
TRIAL REGISTRATION NUMBER: National Medical Research Register (NMRR) of Malaysia and given a registration number NMRR-12-1057-12,363 on 21 December 2012.
METHODS: COVID-19 data on cases, deaths, testing, and vaccinations were extracted from the Our World in Data (OWID) COVID-19 data repository for all the ten ASEAN countries. Comparative time-trends of the epidemiology of COVID-19 using the incidence rate, cumulative case fatality rate (CFR), delay-adjusted case fatality rate, cumulative mortality rate (MR), test positivity rate (TPR), cumulative testing rate (TR) and vaccination rate was carried out.
RESULTS: Over the study period, a total of 12,720,661 cases and 271,475 deaths was reported within the ASEAN region. Trends of daily per capita cases were observed to peak between July and September 2021 for the ASEAN region. The cumulative case fatality rate (CFR) in Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam, was of 0.9% (N=68), 2.2% (N=2,610), 3.5% (N=142,889), 0.1% (N=36), 1.2% (N=27,700), 4.0% (N=18,297), 1.6% (N=40,424), 0.1% (N=215), 1.7% (N=18,123), and 2.6% (N=21,043), respectively. CFR was consistently highest between January-June 2020. The cumulative mortality rate (MR) was 9.5, 13.7, 51.4, 0.2, 80.3, 32.4, 34.5, 1.6, 23.9 and 19.7 per 100,000 population, respectively. The cumulative test positivity rate (TPR) was 8.4%, 16.9%, 4.6%, 7.5%, 11.1%, 12.9%, 0.5%, 11.7%, and 3.6%, with the cumulative testing rate (TR) at 25.0, 90.1, 27.4, 917.7, 75.8, 177.8, 3303.3, 195.2, and 224.9 tests per 1,000 population in Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam, respectively. The percentage of population that completed vaccinations (VR) was 44.5%, 65.3%, 18.5%, 28.2%, 61.8%, 6.8%, 19.2%, 76.8%, 22.7%, and 10% in Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam, respectively.
CONCLUSION: In 2020, most countries in ASEAN had higher case fatality rates but lower mortalities per population when compared to the third quarter of 2021 where higher mortalities per population were observed. Low testing rates have been one of the factors leading to high test positivity rates. Slow initiation of vaccination programs was found to be the key factor leading to high incidence and case fatality rate in most countries in ASEAN. Effective public health measures were able to interrupt the transmission of this novel virus to some extent. Increasing preparedness capacity within the ASEAN region is critical to ensure that any future similar outbreaks can be dealt with collectively.
OBJECTIVES: To determine the effectiveness of a new health education intervention module in improving knowledge, attitude, and practice (KAP) regarding tuberculosis among HIV patients in General Hospital Minna, Nigeria.
METHODS: A randomized control trial was carried out from July 2015 to June 2017. A random number generating program was used to allocate 226 respondents into 2 groups. The intervention group received health education regarding tuberculosis using the developed module. The control group received the normal services provided for HIV patients. Data were collected from December 2015 to September 2016 at baseline, immediate post intervention, three, six and nine months. The outcome measures were knowledge, attitude, and practice.
RESULTS: There was no significant difference with respect to socio-demographic characteristics, KAP of the respondents in the intervention and control group at baseline. However, there was significant improvement in knowledge in the intervention group compared to the control group, group main effect (F = (1,218) = 665.889, p = 0.001, partial ἠ2 = 0.753, d = 5.4); time (F = (3.605, 218) = 52.046, p = 0.001, partial ἠ2 = 0.193, d = 1.52) and interaction between group with time (F = (3.605, 218) = 34.028, p = 0.001, partial ἠ2 = 0.135, d = 1.23). Likewise, there was significant improvement in attitude, group main effect (p = 0.001, d = 1.26) and time (p = 0.001, p, d = 0.65). Similarly, there was improvement in practice, group main effect, time, and interaction of group with time (p < 0.05).
CONCLUSION: The health education intervention program was effective in improving KAP regarding tuberculosis among HIV patients.
METHODS: A randomized control trial was conducted among 2120 cancer patients from April 2016 to January 2017 in ten selected government hospitals in Peninsular Malaysia. Cancer patients were randomly assigned to intervention and control groups. The intervention group received chemotherapy counselling by pharmacists based on the "Managing Patients on Chemotherapy" module. The outcomes were assessed at baseline, 1st, 2nd and 3rd follow-ups after counselling. In the course of data analysis; independent sample t-test, chi-square and two-way repeated measures ANOVA were conducted.
RESULTS: Mean scores of self-esteem in the intervention group had significant difference in comparison with those of the control group in the 1st, 2nd and 3rd follow-ups after counselling (P
METHODS: A cluster-randomized controlled trial was conducted with schools as clusters over a period of six-months with pre and post intervention evaluations. Participants were public secondary school students (14-19 years) from four schools in Brong Ahafo, Ghana. Students in the intervention group were trained by the researchers whereas those of the control group received no intervention. The intervention included health education and physical activity modules. Follow-up data using same questionnaire were collected within two weeks after the intervention was completed. Intention-to-treat analysis was performed after replacing missing values using the multiple imputation method. The generalized linear mixed model (GLMM) was used to assess the effects of the intervention study.
RESULTS: The GLMM analyses showed the intervention was effective in attaining 0.77(p<0.001), 0.72(p<0.001), 0.47(p<0.001), 0.56(p<0.001), and 0.39(p = 0.045) higher total physical activity, fruits, vegetables, seafood, and water scores respectively for the intervention group over the control group. The intervention was also significant in reducing -0.15(p<0.001),-0.23(p<0.001),-0.50(p<0.001),-0.32(p<0.001),-0.90(p<0.001),-0.87(p<0.001),-0.38(p<0.001), -0.63(p<0.001), -1.63(p<0.001), 0.61(p<0.001), and -1.53(p = 0.005) carbohydrates, fats and oils, fried eggs, fried chicken, carbonated drinks, sugar, sweet snacks, salted fish, weight, BMI, and diastolic BP. The odds of quitting alcohol use in the intervention group were 1.06 times more than the control group. There was no significant effect on reducing smoking and systolic BP.
CONCLUSION: There is an urgent need for the intervention program to be integrated into the existing curriculum structure of secondary school schools. Implementing the intervention will allow for longer and more consistent impact on the reduction of CVD risk factors among secondary school students.
METHODS: A cross sectional study was conducted among 2120 cancer patients in Peninsular Malaysia, between April 2016 to January 2017. All cancer patients aged 18 years old and above, Malaysian citizens and undergoing cancer treatment at government hospitals were approached to participate in this study and requested to complete a set of validated questionnaires. Inferential statistical tests such as t-test and one-way ANOVA were used to determine the differences between demographic variables, physical effects, clinical factors, psychological effects and self-esteem with the quality of life of cancer patients. Predictor(s) of quality of life were determined by using Multivariate linear regression models.
RESULT: A total 1620 out of 2120 cancer patients participated in this study, giving a response rate of 92%. The majority of cancer patients were female 922 (56.9%), Malays 1031 (63.6%), Muslim 1031 (63.6%), received chemotherapy treatment 1483 (91.5%). Overall, 1138 (70.2%) of the patients had depression and 1500 (92.6%) had anxiety. Statistically significant associations were found between QOL and clinical factors, physical side effects of cancer, psychological effects and self-esteem (p
Methods: A randomized control trial study was run among 2120 cancer patients in public hospitals in Peninsular Malaysia, from Apr 2016-Jan 2018. The treatment group received counselling regarding chemotherapy by using developed module. The data were collected at three time-points: baseline, 1st, 2nd and 3rd follow-ups after counseling by Validated Malay version of the WHOQOL-BREF of questionnaire. Data analyses were done using χ2 and two-way repeated measure ANOVA.
Results: The treatment group improved significantly as compared to control group in physical health, psychological health, social relationship, environment and overall QOL (P<0.00).
Conclusion: The "Managing Patients on Chemotherapy" book along with repetitive counselling by pharmacists is a useful intervention for improving QOL of cancer patients undergoing treatment.