The theorization of health issues is crucial both for understanding and as a guide for action. By providing a forum for academics and practitioners to engage with the theoretical development of the health debate, Social Theory and Health aims to develop the theoretical underpinnings of health research and service delivery.

An important contribution of the social determinants of health perspective has been to inquire about non-medical determinants of population health. Among these, labour market regulations are of vital significance. In this study, we investigate the labour market regulations among low- and middle-income countries (LMICs) and propose a labour market taxonomy to further understand population health in a global context.

Background: Public–private mix (PPM) programs on tuberculosis (TB) have a critical role in engaging and integrating the private sector into the national TB control efforts in order to meet the End TB Strategy targets. South Korea’s PPM program can provide important insights on the long-term impact and policy gaps in the development and expansion of PPM as a nationwide program. Methods and findings: Healthcare is privatized in South Korea, and a majority (80.3% in 2009) of TB patients sought care in the private sector. Since 2009, South Korea has rapidly expanded its PPM program coverage under the National Health Insurance (NHI) scheme as a formal national program with dedicated PPM nurses managing TB patients in both the private and public sectors. Using the difference in differences (DID) analytic framework, we compared relative changes in TB treatment outcomes—treatment success (TS) and loss to follow-up (LTFU)—in the private and public sector between the 2009 and 2014 TB patient cohorts. Propensity score matching (PSM) using the kernel method was done to adjust for imbalances in the covariates between the 2 population cohorts. The 2009 cohort included 6,195 (63.0% male, 37.0% female; mean age: 42.1) and 27,396 (56.1% male, 43.9% female; mean age: 45.7) TB patients in the public and private sectors, respectively. The 2014 cohort included 2,803 (63.2% male, 36.8% female; mean age: 50.1) and 29,988 (56.5% male, 43.5% female; mean age: 54.7) patients. In both the private and public sectors, the proportion of patients with transfer history decreased (public: 23.8% to 21.7% and private: 20.8% to 17.6%), and bacteriological confirmed disease increased (public: 48.9% to 62.3% and private: 48.8% to 58.1%) in 2014 compared to 2009. After expanding nationwide PPM, absolute TS rates improved by 9.10% (87.5% to 93.4%) and by 13.6% (from 70.3% to 83.9%) in the public and private sectors. Relative to the public, the private saw 4.1% (95% confidence interval [CI] 2.9% to 5.3%, p-value < 0.001) and −8.7% (95% CI −9.7% to −7.7%, p-value <0.001) higher rates of improvement in TS and reduction in LTFU. Treatment outcomes did not improve in patients who experienced at least 1 transfer during their TB treatment. Study limitations include non-longitudinal nature of our original dataset, inability to assess the regional disparities, and verify PPM program’s impact on TB mortality. Conclusions: We found that the nationwide scale-up of the PPM program was associated with improvements in TB treatment outcomes in the private sector in South Korea. Centralized financial governance and regulatory mechanisms were integral in facilitating the integration of highly diverse South Korean private sector into the national TB control program and scaling up of the PPM intervention nationwide. However, TB care gaps continued to exist for patients who transferred at least once during their treatment. These programmatic gaps may be improved through reducing administrative hurdles and making programmatic amendments that can help facilitate management TB patients between institutions and healthcare sectors, as well as across administrative regions.

SETTING: Tuberculosis (TB) remains one of the main concerns in global health. One of the main threats to treatment success is patient non-adherence to anti-tuberculosis treatment. OBJECTIVE: To identify the relation between social conditions and treatment adherence in a prospective cohort setting in an intermediate TB burden country. DESIGN: To identify associations between poor adherence and social conditions, including educational level, type of residence and occupation, we constructed hierarchical logistic regression models. RESULTS: A total of 551 participants were included in the study. Low educational levels, poor housing and occupations in the construction and manufacturing industries and service sectors were associated with poor adherence; this association was likely to be differentiated by previous history of anti-tuberculosis treatment. CONCLUSION: Policy making should focus on improving the social conditions of patients by working towards better housing conditions and providing health promoting working conditions to enable treatment adherence.