Background: We assessed the effect of Indonesia's national health insurance programme (Jaminan Kesehatan Nasional (JKN)) on effective coverage for maternal and child health across geographical regions and population groups.
Methods: We used four waves of the Indonesia Demographic and Health Survey from 2000 to 2017, which included 38 880 women aged 15-49 years and 144 000 birth records. Key outcomes included antenatal and delivery care, caesarean section and neonatal and infant mortality. We used multilevel interrupted time-series regression to examine changes in outcomes after the introduction of the JKN in January 2014.
Findings: JKN introduction was associated with significant level increases in (1) antenatal care (ANC) crude coverage (adjusted OR (aOR) 1.81, 95% CI 1.44 to 2.27); (2) ANC quality-adjusted coverage (aOR 1.66, 95% CI 1.38 to 1.98); (3) ANC user-adherence-adjusted coverage (aOR 1.80, 95% CI 1.45 to 2.25); (4) safe delivery service contact (aOR 1.83, 95% CI 1.42 to 2.36); and (5) safe delivery crude coverage (aOR 1.45, 95% CI 1.20 to 1.75). We did not find any significant level increase in ANC service contact or caesarean section. Interestingly, increases in ANC service contact and crude coverage, and safe delivery crude coverage were larger among the poorest compared with the most affluent. No statistically significant associations were found between JKN introduction and neonatal and infant mortality (p>0.05) in the first 3 years following implementation.
Interpretation: Expansion of social health insurance led to substantial improvements in quality of care for maternal health services but not in child mortality. Concerted efforts are required to equitably improve service quality and child mortality across the population in Indonesia.
Background: As governments around the world implement austerity measures to reduce national deficits, there is an urgent need to investigate potential health impacts of specific measures to avoid unintended consequences. In 2013, the UK government implemented the underoccupancy penalty (ie, the bedroom tax) to reduce the national housing benefits bill, by cutting social housing subsidies for households deemed to have excess rooms. We investigated the impact of the bedroom tax on self-reported psychological distress.
Methods: Using data from the UK Household Longitudinal Study (2010-2014), the sample included those who received housing subsidies, aged 16-60, living in England. Control and treatment groupings were identified on their household composition and housing situation. We used matching methods to create an exchangeable set of observations. Difference-in-differences analysis was performed to examine changes across the prereform and postreform psychological distress of the treatment and control groups, using the 12-item General Health Questionnaire.
Results: The implementation of the reform was associated with a moderate increase in psychological distress (0.88, 95% CI 0.06 to 1.71) among the treatment group, relative to the control group. However, the announcement was not associated with change in psychological distress (0.53, 95% CI 0.21 to 1.27).
Conclusion: Our study provides evidence that the implementation of housing austerity measures can increase psychological distress among social housing tenants. As the use of austerity measures become more widespread, policy-makers should consider supplementary interventions to ameliorate potential negative health consequences.
There is more than 30 years of research on relationships between income inequality and population health. In this article, we propose a research agenda with five recommendations for future research to refine existing knowledge and examine new questions. First, we recommend that future research prioritise analyses with broader time horizons, exploring multiple temporal aspects of the relationship. Second, we recommend expanding research on the effect of public expenditures on the inequality-health relationship. Third, we introduce a new area of inquiry focused on interactions between social mobility, income inequality and population health. Fourth, we argue the need to examine new perspectives on 21st century capitalism, specifically the population health impacts of inequality in income from capital (especially housing), in contrast to inequality in income from labour. Finally, we propose that this research broaden beyond all-cause mortality, to cause-specific mortality, avoidable mortality and subcategories thereof. We believe that such a research agenda is important for policy to respond to the changes following the COVID-19 pandemic.