Health equity and COVID-19: global perspectives.

The COVID-19 is disproportionally affecting the poor, minorities and a broad range of vulnerable populations, due to its inequitable spread in areas of dense population and limited mitigation capacity due to high prevalence of chronic conditions or poor access to high quality public health and medical care. Moreover, the collateral effects of the pandemic due to the global economic downturn, and social isolation and movement restriction measures, are unequally affecting those in the lowest power strata of societies. To address the challenges to health equity and describe some of the approaches taken by governments and local organizations, we have compiled 13 country case studies from various regions around the world: China, Brazil, Thailand, Sub Saharan Africa, Nicaragua, Armenia, India, Guatemala, United States of America (USA), Israel, Australia, Colombia, and Belgium. This compilation is by no-means representative or all inclusive, and we encourage researchers to continue advancing global knowledge on COVID-19 health equity related issues, through rigorous research and generation of a strong evidence base of new empirical studies in this field.

Impact of sugar-sweetened beverage tax on dental caries: a simulation analysis.

BACKGROUND: The tiered sugar-sweetened beverage (SSB) tax was implemented in Thailand to encourage industries to reduce sugar content in beverages, and consequently reduce sugar consumption in the population. The aim of the study is to explore the expected impact of the new SSB tax policy in Thailand, a middle-income country in Asia, and other alternative policies on oral health outcomes as measured by the prevalence and severity of dental caries among the Thai population. METHODS: A qualitative system dynamics model that captures the complex interrelationships among SSB tax, sugar consumption and dental caries, was elicited through participatory stakeholder engagement. Based on the qualitative model, a quantitative system dynamics model was developed to simulate the SSB tax policy and other alternative scenarios in order to evaluate their impact on dental caries among Thai adults from 2010 to 2040. RESULTS: Under the base-case scenario, the dental caries prevalence among the Thai population 15 years and older, is projected to increase from 61.3% in 2010 to 74.9% by 2040. Implementation of SSB tax policy is expected to decrease the prevalence of dental caries by only 1% by 2040, whereas the aggressive policy is projected to decrease prevalence of dental caries by 21% by 2040. CONCLUSIONS: In countries where a majority of the sugar consumed is from non-tax sugary food and beverages, especially Asian countries where street food culture is ubiquitous and contributes disproportionately to sugar intake, SSB tax alone is unlikely to have meaningful impact on oral health unless it is accompanied with a comprehensive public health policy that aims to reduce total sugar intake from non-SSB sources.

Assessment of population coverage of hypertension screening in Thailand based on the effective coverage framework.

BACKGROUND: Hypertension (HT) is a major risk factor, and accessible and effective HT screening services are necessary. The effective coverage framework is an assessment tool that can be used to assess health service performance by considering target population who need and receive quality service. The aim of this study is to measure effective coverage of hypertension screening services at the provincial level in Thailand. METHODS: Over 40 million individual health service records in 2013 were acquired. Data on blood pressure measurement, risk assessment, HT diagnosis and follow up were analyzed. The effectiveness of the services was assessed based on a set of quality criteria for pre-HT, suspected HT, and confirmed HT cases. Effective coverage of HT services for all non-HT Thai population aged 15 or over was estimated for each province and for all Thailand. RESULTS: Population coverage of HT screening is 54.6%, varying significantly across provinces. Among those screened, 28.9% were considered pre-HT, and another 6.0% were suspected HT cases. The average provincial effective coverage was at 49.9%. Around four-fifths (82.6%) of the pre-HT group received HT and Cardiovascular diseases (CVD) risk assessment. Among the suspected HT cases, less than half (38.0%) got a follow-up blood pressure measurement within 60 days from the screening date. Around 9.2% of the suspected cases were diagnosed as having HT, and only one-third of them (36.5%) received treatment within 6 months. Within this group, 21.8% obtained CVD risk assessment, and half of them had their blood pressure under control (50.8%) with less than 1 % (0.7%) of them managed to get the CVD risk reduced. CONCLUSIONS: Our findings suggest that hypertension screening coverage, post-screening service quality, and effective coverage of HT screening in Thailand were still low and they vary greatly across provinces. It is imperative that service coverage and its effectiveness are assessed, and both need improvement. Despite some limitations, measurement of effective coverage could be done with existing data, and it can serve as a useful tool for performance measurement of public health services.

Comparison of Cost-Effectiveness Between Actinomycin D Versus Methotrexate-Folinic Acid in the Treatment of Low-Risk Gestational Trophoblastic Neoplasia.

OBJECTIVE: To compare the cost-effectiveness between actinomycin D (Act-D) and methotrexate-folinic acid (MTX-FA) in the treatment of low-risk gestational trophoblastic neoplasia (GTN) in the Thai population. STUDY DESIGN: A comparative cost-effectiveness analysis was performed from a societal perspective. A decision tree model was developed comparing 2 alternative treatment options: initial 5-day Act-D and 8-day MTX-FA. Treatment would be switched to another regimen in case of resistance. The outcome of interest is number of days to remission. Clinical data was obtained from our previous study in which Act-D demonstrated 100% remission rates as compared to 73.6% for MTX-FA. Cost of treatment data, which includes chemotherapeutics, accessory medications, laboratory tests, and hospital fees, was obtained from a university hospital. Patient-related travel cost and opportunity cost due to absence from work were also included. All costs were calculated to 2015 base year. RESULT: Costs per treatment cycle were $308.01 and $227.20 US dollars (USD) for 5-day Act-D and 8-day MTX-FA, respectively. Expected time toward treatment completion for Act-D was 12.6 days shorter than for MTX-FA. Expected costs toward remission for initial treatment with Act-D and MTX-FA were $1,078.04 and $1,064.56 USD, respectively, i.e., an incremental cost effectiveness ratio (ICER) of $1.07 USD/day of earlier treatment completion. After sensitivity analysis, remission rate of lower than 72% would make initial treatment with MTX-FA more expensive than with Act-D. CONCLUSION: Treatment costs of low-risk GTN are almost equal between the 2 treatment options with different time to remission. Initial treatment with MTX-FA is slightly less expensive, but there is longer time to remission. The ICER of initial treatment with Act-D over MTX-FA is $1.07 USD/day of earlier treatment completion.

Equity in health personnel financing after Universal Coverage: evidence from Thai Ministry of Public Health's hospitals from 2008-2012.

BACKGROUND: Shortage and maldistribution of the health workforce is a major problem in the Thai health system. The expansion of healthcare access to achieve universal health coverage placed additional demand on the health system especially on the health workers in the public sector who are the major providers of health services. At the same time, the reform in hospital payment methods resulted in a lower share of funding from the government budgetary system and higher share of revenue from health insurance. This allowed public hospitals more flexibility in hiring additional staff. Financial measures and incentives such as special allowances for non-private practice and additional payments for remote staff have been implemented to attract and retain them. To understand the distributional effect of such change in health workforce financing, this study evaluates the equity in health workforce financing for 838 hospitals under the Ministry of Public Health across all 75 provinces from 2008-2012. METHODS: Data were collected from routine reports of public hospital financing from the Ministry of Public Health with specific identification on health workforce spending. The components and sources of health workforce financing were descriptively analysed based on the geographic location of the hospitals, their size and the core hospital functions. Inequalities in health workforce financing across provinces were assessed. We calculated the Gini coefficient and concentration index to explore horizontal and vertical inequity in the public sector health workforce financing in Thailand. Separate analyses were carried out for funding from government budget and funding from hospital revenue to understand the difference between the two financial sources. RESULTS: Health workforce financing accounted for about half of all hospital non-capital expenses in 2012, about a 30 % increase from the level of spending in 2008. Almost one third of the workforce financing came from hospital revenue, an increase from only one fourth 5 years earlier. The study reveals a big difference in health workforce expenditure per capita across provinces. Health workforce spending from government budget was less equal than that from hospital revenues as shown by the higher Gini coefficient. The concentration indices show that the financing of hospital workforce was higher per capita in lower resource provinces. CONCLUSION: Our analysis of equalities in health workforce spending shows an improving trend in equity across provinces from 2008-2012. Expansion of healthcare and health insurance coverage and financing reform towards a demand-side financing helped improve the distribution of funding for health workforce across the provinces. The findings from this study can be useful for other countries with ongoing reform towards universal health coverage.

Maintaining non-communicable disease (NCD) services during the COVID-19 pandemic: lessons from Thailand.

The COVID-19 pandemic presented a significant challenge to health systems worldwide, requiring resources to be directed to the pandemic response while also maintaining essential health services. Those with non-communicable diseases (NCDs) are particularly vulnerable to COVID-19, and interrupted care resulting from the pandemic has the potential to worsen morbidity and mortality.We used narrative literature review and key informant interviews between August 2021 and June 2022 to identify how NCD services were impacted during the pandemic and which good practices helped support uninterrupted care.On the background of an existing strong healthcare system, Thailand exhibited strong central coordination of the response, minimised funding interruptions and leveraged existing infrastructure to make efficient use of limited resources, such as through mobilising healthcare workforce. A key intervention has been redesigning NCD systems such as through the 'New Normal Medical Services' initiative. This has promoted digital innovations, including remote self-monitoring, patient risk stratification and alternative medication dispensing. Emphasis has been placed on multidisciplinary, patient-centred and community-centred care.NCD service utilisation has been disrupted during the COVID-19 pandemic; however, newly adapted efforts on top of existing robust systems have been critical to mitigating disruptions. Yet challenges remain, including ensuring ongoing evaluation, adaptation and sustainability of redesign initiatives. This learning offers the potential to further positive health systems change on a wider scale, through sharing knowledge, international collaboration and further refinement of the 'new normal' model.

Molnupiravir versus favipiravir in at-risk outpatients with COVID-19: A randomized controlled trial in Thailand.

OBJECTIVES: Evaluate and compare the efficacy and safety of molnupiravir and favipiravir in outpatients with mild to moderate COVID-19 and at risk of severe COVID-19. METHODS: In an open-label, parallel-group, multicenter trial in Thailand, participants with moderate COVID-19 and at least one factor associated with severe COVID-19 were randomly assigned 1:1 to receive oral molnupiravir or oral favipiravir (standard of care). Phone calls for remote symptom assessment were made on Days 6, 15, and 29. Participants with worsening symptoms were instructed to return to the hospital. The primary endpoint was pulmonary involvement by Day 29, as evidenced by ≥2 of the following: dyspnea, oxygen saturation <92% or imaging. RESULTS: Nine hundred seventy-seven participants (487 molnupiravir, 490 favipiravir) were enrolled from 8 July 2022 to 19 January 2023. 98% had received ≥1 dose of COVID-19 vaccine and 83% ≥3 doses. By Day 29, pulmonary involvement occurred in 0% (0/483) in molnupiravir arm versus 1% (5/482) in favipiravir arm (-1.0%; Newcombe 95.2% CI: -2.4% to -0.0%; P = 0.021); all-cause death in 0% (0/483) and <1% (1/482); COVID-19 related hospitalization in <1% (1/483) and 1% (3/482); treatment-related adverse event in 1% (5/483) and 1% (4/486); and serious adverse event in 1% (4/483) and 1% (4/486). CONCLUSIONS: Favipiravir and molnupiravir had a similar efficacy and safety profile. Whether either of the two reduced the risk of complications during the omicron era in this population with a low risk of pulmonary involvement and a high vaccine coverage remains unclear. There were no differences in any of the safety endpoints. THAI CLINICAL TRIALS REGISTRY ID: TCTR20230111009.

Mitigating the impacts of the COVID-19 pandemic on vulnerable populations: Lessons for improving health and social equity.

The COVID-19 pandemic had an inequitable and disproportionate impact on vulnerable populations, reversing decades of progress toward healthy populations and poverty alleviation. This study examines various programmatic tools and policy measures used by governments to support vulnerable populations during the pandemic. A comparative case study of 15 countries representing all World Health Organization's regions offers a comprehensive picture of countries with varying income statuses, health system arrangements and COVID-19 public health measures. Through a systematic desk review and key informant interviews, we report a spectrum of mitigation strategies deployed in these countries to address five major types of vulnerabilities (health, economic, social, institutional and communicative). We found a multitude of strategies that supported vulnerable populations such as migrant workers, sex workers, prisoners, older persons and school-going children. Prioritising vulnerable populations during the early phase of COVID-19 vaccination campaigns, direct financial subsidies and food assistance programmes were the most common measures reported. Additionally, framing public health information and implementing culturally sensitive health promotion interventions helped bridge the communication barriers in certain instances. However, these measures remain insufficient to protect vulnerable populations comprehensively. Our findings point to the need to expand fiscal space for health, enlarge healthcare coverage, incorporate equity principles in all policies, leverage technology, multi-stakeholder co-production of policies and tailored community engagement mechanisms.

Health financing policies during the COVID-19 pandemic and implications for universal health care: a case study of 15 countries.

BACKGROUND: The COVID-19 pandemic was a health emergency requiring rapid fiscal resource mobilisation to support national responses. The use of effective health financing mechanisms and policies, or lack thereof, affected the impact of the pandemic on the population, particularly vulnerable groups and individuals. We provide an overview and illustrative examples of health financing policies adopted in 15 countries during the pandemic, develop a framework for resilient health financing, and use this pandemic to argue a case to move towards universal health coverage (UHC). METHODS: In this case study, we examined the national health financing policy responses of 15 countries, which were purposefully selected countries to represent all WHO regions and have a range of income levels, UHC index scores, and health system typologies. We did a systematic literature review of peer-reviewed articles, policy documents, technical reports, and publicly available data on policy measures undertaken in response to the pandemic and complemented the data obtained with 61 in-depth interviews with health systems and health financing experts. We did a thematic analysis of our data and organised key themes into a conceptual framework for resilient health financing. FINDINGS: Resilient health financing for health emergencies is characterised by two main phases: (1) absorb and recover, where health systems are required to absorb the initial and subsequent shocks brought about by the pandemic and restabilise from them; and (2) sustain, where health systems need to expand and maintain fiscal space for health to move towards UHC while building on resilient health financing structures that can better prepare health systems for future health emergencies. We observed that five key financing policies were implemented across the countries-namely, use of extra-budgetary funds for a swift initial response, repurposing of existing funds, efficient fund disbursement mechanisms to ensure rapid channelisation to the intended personnel and general population, mobilisation of the private sector to mitigate the gaps in public settings, and expansion of service coverage to enhance the protection of vulnerable groups. Accountability and monitoring are needed at every stage to ensure efficient and accountable movement and use of funds, which can be achieved through strong governance and coordination, information technology, and community engagement. INTERPRETATION: Our findings suggest that health systems need to leverage the COVID-19 pandemic as a window of opportunity to make health financing policies robust and need to politically commit to public financing mechanisms that work to prepare for future emergencies and as a lever for UHC. FUNDING: Bill & Melinda Gates Foundation.

Emerging infectious diseases in southeast Asia: regional challenges to control.

Southeast Asia is a hotspot for emerging infectious diseases, including those with pandemic potential. Emerging infectious diseases have exacted heavy public health and economic tolls. Severe acute respiratory syndrome rapidly decimated the region's tourist industry. Influenza A H5N1 has had a profound effect on the poultry industry. The reasons why southeast Asia is at risk from emerging infectious diseases are complex. The region is home to dynamic systems in which biological, social, ecological, and technological processes interconnect in ways that enable microbes to exploit new ecological niches. These processes include population growth and movement, urbanisation, changes in food production, agriculture and land use, water and sanitation, and the effect of health systems through generation of drug resistance. Southeast Asia is home to about 600 million people residing in countries as diverse as Singapore, a city state with a gross domestic product (GDP) of US$37,500 per head, and Laos, until recently an overwhelmingly rural economy, with a GDP of US$890 per head. The regional challenges in control of emerging infectious diseases are formidable and range from influencing the factors that drive disease emergence, to making surveillance systems fit for purpose, and ensuring that regional governance mechanisms work effectively to improve control interventions.

Human resources for health in southeast Asia: shortages, distributional challenges, and international trade in health services.

In this paper, we address the issues of shortage and maldistribution of health personnel in southeast Asia in the context of the international trade in health services. Although there is no shortage of health workers in the region overall, when analysed separately, five low-income countries have some deficit. All countries in southeast Asia face problems of maldistribution of health workers, and rural areas are often understaffed. Despite a high capacity for medical and nursing training in both public and private facilities, there is weak coordination between production of health workers and capacity for employment. Regional experiences and policy responses to address these challenges can be used to inform future policy in the region and elsewhere. A distinctive feature of southeast Asia is its engagement in international trade in health services. Singapore and Malaysia import health workers to meet domestic demand and to provide services to international patients. Thailand attracts many foreign patients for health services. This situation has resulted in the so-called brain drain of highly specialised staff from public medical schools to the private hospitals. The Philippines and Indonesia are the main exporters of doctors and nurses in the region. Agreements about mutual recognition of professional qualifications for three groups of health workers under the Association of Southeast Asian Nations Framework Agreement on Services could result in increased movement within the region in the future. To ensure that vital human resources for health are available to meet the needs of the populations that they serve, migration management and retention strategies need to be integrated into ongoing efforts to strengthen health systems in southeast Asia. There is also a need for improved dialogue between the health and trade sectors on how to balance economic opportunities associated with trade in health services with domestic health needs and equity issues.

An analysis of health system resources in relation to pandemic response capacity in the Greater Mekong Subregion.

BACKGROUND: There is increasing perception that countries cannot work in isolation to militate against the threat of pandemic influenza. In the Greater Mekong Subregion (GMS) of Asia, high socio-economic diversity and fertile conditions for the emergence and spread of infectious diseases underscore the importance of transnational cooperation. Investigation of healthcare resource distribution and inequalities can help determine the need for, and inform decisions regarding, resource sharing and mobilisation. METHODS: We collected data on healthcare resources deemed important for responding to pandemic influenza through surveys of hospitals and district health offices across four countries of the GMS (Cambodia, Lao PDR, Thailand, Vietnam). Focusing on four key resource types (oseltamivir, hospital beds, ventilators, and health workers), we mapped and analysed resource distributions at province level to identify relative shortages, mismatches, and clustering of resources. We analysed inequalities in resource distribution using the Gini coefficient and Theil index. RESULTS: Three quarters of the Cambodian population and two thirds of the Laotian population live in relatively underserved provinces (those with resource densities in the lowest quintile across the region) in relation to health workers, ventilators, and hospital beds. More than a quarter of the Thai population is relatively underserved for health workers and oseltamivir. Approximately one fifth of the Vietnamese population is underserved for beds and ventilators. All Cambodian provinces are underserved for at least one resource. In Lao PDR, 11 percent of the population is underserved by all four resource items. Of the four resources, ventilators and oseltamivir were most unequally distributed. Cambodia generally showed higher levels of inequalities in resource distribution compared to other countries. Decomposition of the Theil index suggests that inequalities result principally from differences within, rather than between, countries. CONCLUSIONS: There is considerable heterogeneity in healthcare resource distribution within and across countries of the GMS. Most inequalities result from within countries. Given the inequalities, mismatches, and clustering of resources observed here, resource sharing and mobilization in a pandemic scenario could be crucial for more effective and equitable use of the resources that are available in the GMS.

Development of a resource modelling tool to support decision makers in pandemic influenza preparedness: The AsiaFluCap Simulator.

BACKGROUND: Health care planning for pandemic influenza is a challenging task which requires predictive models by which the impact of different response strategies can be evaluated. However, current preparedness plans and simulations exercises, as well as freely available simulation models previously made for policy makers, do not explicitly address the availability of health care resources or determine the impact of shortages on public health. Nevertheless, the feasibility of health systems to implement response measures or interventions described in plans and trained in exercises depends on the available resource capacity. As part of the AsiaFluCap project, we developed a comprehensive and flexible resource modelling tool to support public health officials in understanding and preparing for surges in resource demand during future pandemics. RESULTS: The AsiaFluCap Simulator is a combination of a resource model containing 28 health care resources and an epidemiological model. The tool was built in MS Excel© and contains a user-friendly interface which allows users to select mild or severe pandemic scenarios, change resource parameters and run simulations for one or multiple regions. Besides epidemiological estimations, the simulator provides indications on resource gaps or surpluses, and the impact of shortages on public health for each selected region. It allows for a comparative analysis of the effects of resource availability and consequences of different strategies of resource use, which can provide guidance on resource prioritising and/or mobilisation. Simulation results are displayed in various tables and graphs, and can also be easily exported to GIS software to create maps for geographical analysis of the distribution of resources. CONCLUSIONS: The AsiaFluCap Simulator is freely available software (http://www.cdprg.org) which can be used by policy makers, policy advisors, donors and other stakeholders involved in preparedness for providing evidence based and illustrative information on health care resource capacities during future pandemics. The tool can inform both preparedness plans and simulation exercises and can help increase the general understanding of dynamics in resource capacities during a pandemic. The combination of a mathematical model with multiple resources and the linkage to GIS for creating maps makes the tool unique compared to other available software.

How can measles eradication strengthen health care systems?

Elimination and eradication initiatives are generally delivered through a vertical approach, which can potentially hamper health systems. We propose 3 approaches by which a measles eradication initiative can ensure that health systems are left strengthened when the eradication goal has been accomplished. First, focus should be placed on strengthening routine vaccination, which could generate positive trickle-up effects on other primary health care services. Second, increased integration with multifunctional health services should be emphasized. Third, efforts should be made to change traditional donor behavior that prioritizes vaccination campaigns and uses uncoordinated staff incentives.

Early reporting of pandemic flu and the challenge of global surveillance: a lesson for Southeast Asia.

Abstract. An important issue at the start of the H1N1/2009 pandemic is global reporting of pandemic cases. Reports during the first few weeks of the pandemic showed spread of the disease from Mexico to many countries, but few cases were reported from low and middle income countries. Analysis of the data of international passengers departing from Mexican airports early in the H1N1/2009 outbreak shows a strong association between the number of passengers and reports of confirmed cases. In developing countries first case detection was slower and the chance of reporting the influenza cases after controlling for air traveller intensity was significantly lower. Delays in detection and reporting can jeopardize the success of a global response to a pandemic. A number of implications can be drawn from this, including the need to strengthen health system surveillance capacities in developing countries in Southeast Asia and globally for a better regional and global response.

Pandemic influenza preparedness and health systems challenges in Asia: results from rapid analyses in 6 Asian countries.

BACKGROUND: Since 2003, Asia-Pacific, particularly Southeast Asia, has received substantial attention because of the anticipation that it could be the epicentre of the next pandemic. There has been active investment but earlier review of pandemic preparedness plans in the region reveals that the translation of these strategic plans into operational plans is still lacking in some countries particularly those with low resources. The objective of this study is to understand the pandemic preparedness programmes, the health systems context, and challenges and constraints specific to the six Asian countries namely Cambodia, Indonesia, Lao PDR, Taiwan, Thailand, and Viet Nam in the prepandemic phase before the start of H1N1/2009. METHODS: The study relied on the Systemic Rapid Assessment (SYSRA) toolkit, which evaluates priority disease programmes by taking into account the programmes, the general health system, and the wider socio-cultural and political context. The components under review were: external context; stewardship and organisational arrangements; financing, resource generation and allocation; healthcare provision; and information systems. Qualitative and quantitative data were collected in the second half of 2008 based on a review of published data and interviews with key informants, exploring past and current patterns of health programme and pandemic response. RESULTS: The study shows that health systems in the six countries varied in regard to the epidemiological context, health care financing, and health service provision patterns. For pandemic preparation, all six countries have developed national governance on pandemic preparedness as well as national pandemic influenza preparedness plans and Avian and Human Influenza (AHI) response plans. However, the governance arrangements and the nature of the plans differed. In the five developing countries, the focus was on surveillance and rapid containment of poultry related transmission while preparation for later pandemic stages was limited. The interfaces and linkages between health system contexts and pandemic preparedness programmes in these countries were explored. CONCLUSION: Health system context influences how the six countries have been preparing themselves for a pandemic. At the same time, investment in pandemic preparation in the six Asian countries has contributed to improvement in health system surveillance, laboratory capacity, monitoring and evaluation and public communications. A number of suggestions for improvement were presented to strengthen the pandemic preparation and mitigation as well as to overcome some of the underlying health system constraints.

Cost-Effectiveness Analysis of Xpert MTB/RIF for Multi-Outcomes of Patients With Presumptive Pulmonary Tuberculosis in Thailand.

OBJECTIVES: The cost-effectiveness of screening adult patients for pulmonary tuberculosis is not clear. As such, this study aims to identify the cost-effectiveness between the Xpert MTB/RIF assay and the sputum acid-fast bacilli (AFB) smear. Multi-outcomes were correct diagnosis, time to achieve correct diagnosis, and gain in quality-adjusted life-years (QALYs). METHODS: A decision tree model was constructed to reveal a possible clinical pathway of tuberculosis diagnosis. The researchers used a clinical study to establish the probability of all clinical pathways for input into this model. The sample size was calculated following the correct diagnosis. Participants were randomly divided into 2 groups. A structural questionnaire and the Thai version of quality of life (EQ-5D-5L) were used for interviewing. RESULTS: The results showed that the time to achieve the correct diagnosis for the group using Xpert MTB/RIF was shorter than that for the group using the sputum AFB smear. Both the correct diagnosis and QALYs of the base case analysis presented the Xpert MTB/RIF method as dominant. A Monte Carlo model, which analyzed the Xpert MTB/RIF method, revealed that the average number of patients who were correctly diagnosed was 673, the QALYs were 945.85 years, and the total cost was $143 110.64. For the sputum AFB smear method, the average number who received a correct diagnosis was 592, the QALYs were 940.40 years, and the total cost was $196 666.84. Probabilistic and one-way sensitivity analysis confirmed that the Xpert MTB/RIF remained dominant. CONCLUSIONS: These results provide useful information for the National Strategic Plan to screen all adult patients for pulmonary tuberculosis.

Contact Mixing Patterns and Population Movement among Migrant Workers in an Urban Setting in Thailand.

Data relating to contact mixing patterns among humans are essential for the accurate modeling of infectious disease transmission dynamics. Here, we describe contact mixing patterns among migrant workers in urban settings in Thailand, based on a survey of 369 migrant workers of three nationalities. Respondents recorded their demographic data, including age, sex, nationality, workplace, income, and education. Each respondent chose a single day to record their contacts; this resulted in a total of more than 8300 contacts. The characteristics of contacts were recorded, including their age, sex, nationality, location of contact, and occurrence of physical contact. More than 75% of all contacts occurred among migrants aged 15 to 39 years. The contacts were highly clustered in this age group among migrant workers of all three nationalities. There were far fewer contacts between migrant workers with younger and older age groups. The pattern varied slightly among different nationalities, which was mostly dependent upon the types of jobs taken. Half of migrant workers always returned to their home country at most once a year and on a seasonal basis. The present study has helped us gain a better understanding of contact mixing patterns among migrant workers in urban settings. This information is useful both when simulating disease epidemics and for guiding optimal disease control strategies among this vulnerable section of the population.

Universal coverage but unmet need: National and regional estimates of attrition across the diabetes care continuum in Thailand.

BACKGROUND: Diabetes is a growing challenge in Thailand. Data to assess health system response to diabetes is scarce. We assessed what factors influence diabetes care cascade retention, under universal health coverage. METHODS: We conducted a cross-sectional analysis of the 2014 Thai National Health Examination Survey. Diabetes was defined as fasting plasma glucose ≥126mg/dL or on treatment. National and regional care cascades were constructed across screening, diagnosis, treatment, and control. Unmet need was defined as the total loss across cascade levels. Logistic regression was used to examine the demographic and healthcare factors associated with cascade attrition. FINDINGS: We included 15,663 individuals. Among Thai adults aged 20+ with diabetes, 67.0% (95% CI 60.9% to 73.1%) were screened, 34.0% (95% CI 30.6% to 37.2%) were diagnosed, 33.3% (95% CI 29.9% to 36.7%) were treated, and 26.0% (95% CI 22.9% to 29.1%) were controlled. Total unmet need was 74.0% (95% CI 70.9% to 77.1%), with regional variation ranging from 58.4% (95% CI 45.0% to 71.8%) in South to 78.0% (95% CI 73.0% to 83.0%) in Northeast. Multivariable models indicated older age (OR 1.76), males (OR 0.65), and a higher density of medical staff (OR 2.40) and health centers (OR 1.58) were significantly associated with being diagnosed among people with diabetes. Older age (OR 1.80) and higher geographical density of medical staff (OR 1.82) and health centers (OR 1.56) were significantly associated with being controlled. CONCLUSIONS: Substantial attrition in the diabetes care continuum was observed at diabetes screening and diagnosis, related to both individual and health system factors. Even with universal health insurance, Thailand still needs effective behavioral and structural interventions, especially in primary health care settings, to address unmet need in diabetes care for its population.