How Do Attitudes of Adult Children Toward Long-Term Care Change with Education? International Evidence.

Global demographic trends indicate that the world population is aging and education acquisition is increasing. For the first time in history, people are expected to spend more years as adults with living parents than as a parent of teenage children, and the average years of schooling have increased dramatically over the past several decades for many countries. Additionally, family-provided care is still the most important form of care to meet care demands worldwide. As strong filial norms could affect older adults' long-term care decision-making, understanding the link between filial obligations and education is critical under these trends. Using individual data from the World Values Survey and an instrumental variables strategy to account for endogeneity, this study finds that adult children with higher education levels have lower filial beliefs. Since population aging is expected to increase the demand for long-term care services, and education can reduce the supply of family-provided long-term care services, countries must start addressing this gap.

Does family medicine reduce household health expenditures: evidence from Türkiye.

Türkiye introduced a family medicine-centered primary healthcare model in 2005 as part of the Health Transformation Program, which aimed to reduce household healthcare expenditures, improve access to health services, and reduce the crowding-out effect in first-stage hospital institutions. We investigate the impact of the family medicine program on household healthcare expenditures in Türkiye, focusing on doctor visits, medication prescriptions, and hospitalization expenditures. Using data from a large representative household survey, we employ a difference-in-differences approach combined with the entropy-balancing matching technique. Our robust findings show that living in a province exposed to the family medicine program reduced household doctor visit expenditures by over 40 percent. We also find a significant negative association between the family medicine program and expenditures regarding doctor visits and medication prescriptions in the long run. Greater efforts are now needed to ensure the quality of services offered by family health centers, such as improving the doctor-to-patient ratio.

Effects of expanding a non-contributory health insurance scheme on out-of-pocket healthcare spending by the poor in Turkey.

INTRODUCTION: Insufficient or no health insurance creates financial access barriers to healthcare services, especially for vulnerable populations. The Green Card scheme, a non-contributory government-funded health insurance scheme for the poor in Turkey, was expanded in 2003-2006 and has provided citizens with extended benefits. We study the effects of this expansion of the Green Card scheme on out-of-pocket healthcare expenditures for low-income households. METHODS: We use difference-in-differences study design to examine the causal impact of having a Green Card on financial protection in terms of out-of-pocket health expenditures and catastrophic expenditures for the poor in Turkey. In addition, we implement quantile regression analysis to examine how the benefits expansion affects the poor who have the largest out-of-pocket expenditures and are in the upper tail of the health spending distribution. RESULTS: We find that the expansion of benefits coverage leads to significant reductions in annualised out-of-pocket healthcare expenditures for dental care, diagnostics services, pharmaceuticals and total medical spending. We show that the decline in spending by Green Card beneficiaries corresponds to about 33% as per cent of total per-household medical spending. Quantile regression analysis shows that the scheme is even more effective at reducing expenditures for those people facing large health expenditures. The scheme reduces the incidence of catastrophic expenditures by nearly 50% among those with the largest annual out-of-pocket expenditures. CONCLUSIONS: Increasing benefits coverage for a non-contributory insurance programme leads to financial protection for the poor by reducing out-of-pocket and catastrophic health expenditures. It is even more effective at reducing out-of-pocket health spending for those whose health expenditures that lie on the high end of healthcare spending distribution.

Early experience of universal health coverage in Turkey on access to health services for the poor: regression kink design analysis.

BACKGROUND: In 2003, the Turkish government introduced a major health system reform, the Health Transformation Program (HTP), aimed at achieving Universal Health Coverage (UHC). HTP has helped to expand insurance coverage and health benefits for the uninsured population groups, which included low-income households and the unemployed, through the Green Card scheme, a non-contributory health insurance funded by the government. The Green Card scheme expansion began in 2005 and increased rapidly after 2008, following the introduction of a new comprehensive benefits package, to cover an additional 13 million people. METHODS: We examine the impact of the Green Card scheme on the utilization of outpatient, inpatient, specialist, and diagnostics services using the Turkish Health Survey data (2010), using a kinked regression design. We take advantage of a sharp break in the availability of health insurance at a particular income level (minimum wage) to examine the impact of the Green Card scheme on health service utilization. RESULTS: Our results show that having a Green Card increases the fraction of people using outpatient services by 68.30 percentage points, inpatient visit by 34.60 percentage points, and specialist visit by 74.10 percentage points. CONCLUSIONS: Our findings suggest that a non-contributory health insurance program, such as the Green Card scheme in Turkey, could provide increased access to health care services by the poor and provide important lessons for countries which aim to introduce health programs targeting poor as part of a transition to UHC.