Costs and benefits of improving tuberculosis control: The case of Thailand

The study evaluates the economic costs and benefits of improving tuberculosis control interventions in Thailand. Provider costs are determined on the basis of marginal treatment costs for varying case numbers and estimates of the cost of required infrastructure changes. Indirect costs are calculated as income lost due to morbidity and premature mortality. An epidemiological model is used to calculate case numbers and mortality under current control conditions and a scenario of improved control. An improved control strategy initially leads to a higher number of detected cases. For longer projection periods, the epidemiological impact of curing a higher proportion of infectious sources results in lower case numbers than those expected without programme improvement. Model simulations show a reduction of total annual case numbers through improved control measures by an average 45% after a simulation period of 20 years. The corresponding societal savings in form of reduced indirect costs from the disease are U.S.$2.4 billion. Reductions in direct provider costs can be expected as a result of decreased numbers of detected cases for longer evaluation periods, as well as a lower proportion of multi-drug-resistant cases. The mean value of predicted savings is U.S.$8.3 million. Since this value is likely to be higher than the required investment in improved infrastructure, net savings can be expected. The result of an uncertainty analysis shows a wide range of potential additional costs or net savings with respect to direct provider costs. Indirect cost calculations show net savings for all parameter values.tuberculosis economics cost-benefit analysis Thailand

Enrollment of dengue patients in a prospective cohort study in Umphang District, Thailand, during the COVID‐19 pandemic: Implications for research and policy

Abstract Background and Aims Dengue is endemic in Thailand and imposes a high burden on the health system and society. We conducted a prospective cohort study in Umphang District, Tak Province, Thailand, to investigate the share of dengue cases with long symptoms and their duration. Here we present the results of the enrollment process during the COVID‐19 pandemic with implications and challenges for research and policy. Methods In a prospective cohort study conducted in Umphang District, Thailand, we examined the prevalence of persistent symptoms in dengue cases. Clinically diagnosed cases were offered free laboratory testing, We enrolled ambulatory dengue patients regardless of age who were confirmed through a highly sensitive laboratory strategy (positive NS1 and/or IgM), agreed to follow‐up visits, and gave informed consent. We used multivariate logistic regressions to assess the probability of clinical dengue being laboratory confirmed. To determine the factors associated with study enrollment, we analyzed the relationship of patient characteristics and month of screening to the likelihood of participation. To identify underrepresented groups, we compared the enrolled cohort to external data sources. Results The 150 clinical cases ranged from 1 to 85 years old. Most clinical cases (78%) were confirmed by a positive laboratory test, but only 19% of those confirmed enrolled in the cohort study. Women, who were half as likely to enroll as men, were underrepresented in the cohort. Conclusions The Thai physicians' clinical diagnoses at this rural district hospital had good agreement with laboratory diagnoses. By identifying underrepresented groups and disparities, future studies can ensure the creation of statistically representative cohorts to maximize their scientific value. This involves recruiting and retaining underrepresented groups in health research, such as women in this study. Promising strategies for meaningful inclusion include multi‐site enrollment, offering in‐home or virtual services, and providing in‐kind benefits like childcare for underrepresented groups

Socioeconomic differentials between HIV caregivers and noncaregivers: is there a selection effect? A case of older people living in Nairobi City

This article seeks to investigate the association between caregiving to someone with an HIV-related illness and the socioeconomic status of the caregiver using a population-based survey of 1,587 older people living in Nairobi slums. Findings indicate significant differences in living arrangements, wealth, income, and expenditure between HIV caregivers and noncaregivers. HIV caregivers lived in larger households and were also more likely to live in households with a large number of children younger than the age of 15 years. Whereas a high proportion of HIV caregivers were ranked highly in terms of wealth status, differences in per capita income and expenditure were not significant when household size and other confounders were accounted for. The financial costs associated with caring for someone with a chronic illness and the reliance on family members with financial ability for material support, a common feature of African extended family systems, may account for the relative economic advantage of HIV caregiver