During COVID-19 pandemic, telemedicine was a strategy to facilitate healthcare service delivery minimizing the risk of direct exposure among people. In Thailand, the National Health Security Office has included telemedicine services under the Universal Coverage Scheme to support social distancing policies to reduce the spread of COVID-19. This study aimed to determine the patterns of telemedicine service use during major COVID-19 outbreaks including Alpha, Delta, and Omicron in Thailand. We retrospectively analyzed a dataset of telemedicine e-claims from the National Health Security Office, which covers services reimbursed under the Universal Coverage Scheme between December 2020 and August 2022. An interrupted time-series analysis, Pearson correlation analysis and binary logistic regression were performed. Almost 70% of the patients using telemedicine services were over 40 years old. Most patients used services for mental health problems (25.6%) and major noncommunicable diseases, including essential hypertension (12.6%) and diabetes mellitus (9.2%). The daily number of using telemedicine service was strongly correlated with the number of COVID-19 new cases detected. An immediate change in the trend of using telemedicine was detected at the onset of outbreaks along with the surge of infection. The follow-up use of telemedicine services was not substantial among female, older adults patients and those with non-communicable diseases except mental health problems, and infectious diseases. Strategies need to be developed to reinforced healthcare resources for telemedicine during the surge of outbreaks and sustain the use of telemedicine services for chronic and infectious diseases, regardless of the pandemic, and promote the efficiency of healthcare systems.

Background: This study aimed to identify the prevalence of diabetes mellitus (DM) and tuberculosis (TB) among household contacts of index TB patients in Yangon, Myanmar. Method: Household contacts were approached at their home. Chest X-ray and capillary blood glucose tests were offered based on World Health Organization and American Diabetes Association guidelines. Crude prevalence and odds ratios of DM and TB among household contacts of TB patients with and without DM were calculated. Results: The overall prevalence of DM and TB among household contacts were (14.0%, 95% CI: 10.6–18.4) and (5%, 95% CI: 3.2–7.6), respectively. More than 25% of DM cases and almost 95% of TB cases among household contacts were newly diagnosed. Almost 64% of known DM cases among household contacts had poor glycaemic control. The risk of getting DM among household contacts of TB patients with DM was significantly higher (OR—2.13, 95% CI: 1.10–4.12) than those of TB patients without DM. There was no difference in prevalence of TB among household contacts of TB patients with and without DM. Conclusion: Significant proportions of the undetected and uncontrolled DM among household contacts of index TB patients indicate a strong need for DM screening and intervention in this TB–DM dual high-risk population.

Background: Integration of diabetes mellitus screening in home visits for contact tracing for tuberculosis could identify hidden patients with either tuberculosis or diabetes mellitus. However, poor compliance to the first home screening has been reported. A second time visit not only increases screening compliance but also the cost. This study aimed to determine if an additional second time visit was cost effective based on the health system perspective of the tuberculosis contact tracing program in Myanmar. Methods: This cross-sectional study was based on usual contact tracing activity in the Yangon Region, Myanmar, from April to December 2018 with integration of diabetes mellitus screening and an additional home visit to take blood glucose tests along with repeated health education and counseling to stress the need for a chest X-ray. New tuberculosis and diabetes mellitus cases detected were the main outcome variables. Programmatic operational costs were calculated based on a standardized framework for cost evaluation on tuberculosis screening. The effectiveness of an additional home visit was estimated using disability-adjusted life years averted. The willingness to pay threshold was taken as 1250.00 US dollars gross domestic product per capita of the country. Results: Single and additional home visits could lead to 42.5% and 65.0% full compliance and 27.2 and 9.3 additional years of disability-adjusted life years averted, respectively. The respective base costs and additional costs were 3280.95 US dollars and 1989.02 US dollars. The programmatic costs for an extra unit of disability-adjusted life years averted was 213.87 US dollars, which was lower than the willingness to pay threshold. Conclusions: From the programmatic perspective, conducting the second time visit for tuberculosis contact tracing integrated with diabetes mellitus screening was found to be cost effective.

Background: A mobile app that calculates a tuberculosis (TB) risk score based on individual social and pathological characteristics has been shown to be a better predictor of the risk of contracting TB than conventionally used TB signs and symptoms (TBSS) in Myanmar, where the TB burden is high. Its cost-effectiveness, however, has not yet been assessed. Objective: This study aimed to determine the incremental costs of this mobile app and of chest x-rays (CXRs) in averting disability-adjusted life years (DALYs) among missed cases of active TB in the population being screened. Methods: Elements of incremental costs and effectiveness of 3 initial TB screening strategies were examined, including TBSS followed by CXR, the mobile app followed by CXR, and universal CXR. The incremental cost-effectiveness ratio (ICER; ie, the additional cost for each additional DALY averted) was compared to TBSS screening. Based on the latest 2020 gross domestic product (GDP) per capita of Myanmar (US $1477.50), the ICER was compared to willingness-to-pay (WTP) thresholds of 1, 2, and 3 times the GDP per capita. Probabilistic sensitivity analysis was conducted with a Monte Carlo simulation to compute the levels of probability that the ICER for each strategy was below each WTP threshold. Results: For each 100,000 population, the incremental cost compared to TBSS of active TB screening was US $345,942 for the mobile app and US $1,810,712 for universal CXR. The incremental effectiveness was 325 DALYs averted for the mobile app and 576 DALYs averted for universal CXR. For the mobile app, the estimated ICER was US $1064 (72% of GDP per capita) per 1 DALY averted. Furthermore, 100% of the simulated values were below an additional cost of 1 times the GDP per capita for 1 additional DALY averted. The universal CXR strategy has an estimated ICER of US $3143 (2.1 times the GDP per capita) per 1 DALY averted and an additional 77.2% DALYs averted compared to the app (ie, 576 – 325 / 325 DALYs); however, 0.5% of the simulated values were higher than an additional expenditure of 3 times the GDP per capita. Conclusions: Based on the status of the economy in 2020, the mobile app strategy is affordable for Myanmar. The universal CXR strategy, although it could prevent an additional 77% of DALYs, is probably unaffordable. Compared to the TBSS strategy, the mobile app system based on social and pathological characteristics of TB has potential as a TB screening tool to identify missing TB cases and to reduce TB morbidity and mortality, thereby helping to achieve the global goal of “End TB” in resource-limited settings with a high TB burden.

Background: Comparative risk assessments (CRAs) provide important information for shaping alcohol control policies. Underlying their CRAs, the WHO uses a standardised methodology to assess and detail the levels of alcohol use for all countries and for various regions. This publication uses a case study approach on the member states of the Association of South East Asian Nations (ASEAN) to examine potential biases resulting from the methodology employed by the WHO in calculating exposure values for their CRAs. Methods: Researchers from each of the 10 ASEAN member states identified large population surveys to improve upon the data collected by the WHO monitoring systems to estimate exposure between 2000 and 2022. From these surveys and aggregate data, key indicators were created for each Member State using WHO standardised methodology. Steps were defined to test for implausible values, particularly for the indicator for average level of alcohol consumption among drinkers. Sensitivity analyses were undertaken to identify possible causes of these values. Finally, we compared the results of the implausibility checks with two other regions, the European Union (EU) and the East African Community (EAC), based on data collected by the WHO. Results: The indicator for average volume of alcohol consumption among drinkers showed implausibly high values for three ASEAN countries, Lao PDR, Thailand and Viet Nam. Further simulations based on assumptions regarding the prevalence of people with heavy or very heavy drinking levels further corroborated a likely bias. An examination of the constituents of the indicator revealed that the bias for Thailand could be due to responses received to survey questions regarding alcohol abstention, in which a high number of respondents claimed no consumption of alcohol over the past year. For the Lao PDR and Viet Nam, the same problem with survey respondent self-reports on alcohol consumption may exist, but we cannot exclude the possibility that answers to the survey question regarding unrecorded alcohol may also have contributed. Investigations of two further regions of the world also showed some implausible values, albeit to a smaller degree for the EU. Conclusions: Plausibility testing of key monitoring indicators is important and yields important information for improving future monitoring efforts.

In his historical studies of current high-income countries, Angus Deaton demonstrated a correlation between a country's prosperity and the health of its population. His conceptual framework has recently been expanded to include the role of alcohol. In this ecological study, we test the key assumptions of the expanded framework and classify countries with respect to both their levels of alcohol consumption and alcohol control policies to economic development. We explored linear trends from 2000 to 2022 in gross domestic product per capita at purchasing power parity (GDP-PPP per capita), life expectancy, and adult alcohol per capita consumption (APC) in 10 member states of the Association of Southeast Asian Nations (ASEAN), grouping them through cluster analyses based on these three variables. We also scored and ranked the countries based on their alcohol control policies. Lastly, we used generalised least squares models, accounting for temporal autocorrelation, to evaluate the associations between GDP-PPP per capita, life expectancy, and APC. We corroborated Deaton's conclusions that increases in economic wealth were associated with increases in life expectancy, with the largest improvements seen in low-income countries and the smallest in high-income countries. Economic transition was consistently related to increases in the level of alcohol consumption in low-income economies, with the exception of Muslim-majority countries. Following their transition to a lower middle-income status, some ASEAN countries appear to have implemented more effective alcohol control policies that halted further increases in their levels of consumption. In Muslim-majority countries, the level of consumption was low, irrespective of the level of economic development. The implementation of alcohol control policies prevents further increases in alcohol consumption and attributable harm and thus allows countries undergoing economic transition to reap the full health benefits of economic development.