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Background The goal of universal health coverage is challenging for chronically under-resourced health systems. Although household out-of-pocket payments are the most important source of health financing in low-income countries, relatively little is known about the drivers of primary health care expenditure and the predictability of the burden associated with high fee-for-service payments. This study describes out-of-pocket health expenditure and investigates demand- and supply-side drivers of excessive costs in the Democratic Republic of Congo (DRC), a central African country in the midst of a process of reforming its health financing system towards universal health coverage. Methods A population-based household survey was conducted in four provinces of the DRC in 2014. Data included type, level and utilization of health care services, accessibility to care, patient satisfaction and disaggregated health care expenditure. Multivariate logistic regressions of excessive expenditure for outpatient care using alternative thresholds were performed to explore the incidence and predictors of atypically high expenditure incurred by individuals. Results Over 17% ( 17.5%) of individuals living in sample households reported an illness or injury without being hospitalized. Of 3341 individuals reporting an event in the four-week period prior to the survey, 65.6% sought outpatient care with an average of one visit (SD = 0.0). The overall mean expenditure per visit was US$ 6.7 (SD = 10.4) with 29.4% incurring excessive expenditure. The main predictors of a financial risk burden included utilizing public services offering the complementary benefit package, dissatisfaction with care received, being a member of a large household, expenditure composition, severity of illness, residence and wealth ( p  < .05). The insured status influenced the expenditure level, with no association with catastrophe. Those who did not seek care when needed reported financial constraints as the major reason for postponing or foregoing care. Wealth-related inequities were found in service and population coverage and in out-of-pocket payment for outpatient care. Conclusion Burdensome expenditure for primary care and its key drivers are of utmost importance. Forthcoming health financing reform agendas must incorporate a strategy for getting data used in the design of financial risk protection. Realizing equitable and efficient access to outpatient care is a vital ingredient for sustainable health systems.

Since independence, India has struggled to provide its people with universal health coverage. Whether defined in terms of financial protection or access to and effective use of health care, the majority of Indians remain irregularly and incompletely covered. Finally, and most recently, a new generation of Government-Sponsored Health Insurance Schemes (GSHISs) has emerged to provide the poor with financial coverage. Briefly, the main objective of these new GSHISs was to offer financial protection against catastrophic health shocks, defined in terms of an inpatient stay. Between 2007 and 2010, six major schemes have emerged, including one sponsored by the Government of India (GOI) and five state-sponsored schemes. This new wave of schemes provides fully subsidized coverage for a limited package of secondary or tertiary inpatient care, targeting below poverty populations. Similar to the private voluntary insurance products in the country, ambulatory services including drugs are not covered except as part of an episode of illness requiring an inpatient stay. The schemes have organized hospital networks consisting of public and private facilities, and most care funded by these schemes is provided in private hospitals. Ostensibly, the objective of any health insurance scheme is to increase access, utilization, and financial protection, and ultimately improve health status. Due to lack of evaluations and analyses of household data, the authors of this book do not examine the impact of health insurance in terms of these objectives. This book is not meant to highlight problems of the GSHISs, but rather to raise potential challenges and emerging issues that should be addressed to ensure the long-term viability of these schemes and secure their place within the health finance and delivery system.

As the world recently turned its attention to the struggle of expanding health insurance coverage for 40 million people in the United States, it is important not to forget the 4 billion people in low- and middle-income countries that face the same hardship. Millions of the poor have already fallen back into poverty as a result of the ongoing global financial crisis. Millions more are at risk before full recovery. It is the poor and most vulnerable that are at greatest risk due to lack of protection against the impoverishing effects of illness. The research for this volume shows that, when properly designed and coupled with public subsidies, health insurance can contribute to the well-being of poor and middle-class households, not just the rich. And it can contribute to development goals such as improved access to health care, better financial protection against the cost of illness, and reduced social exclusion. Opponents vilify health insurance as an evil to be avoided at all cost. To them, health insurance leads to overconsumption of care, escalating costs-especially administrative costs-fraud and abuse, shunting of scarce resources away from the poor, cream skimming, adverse selection, moral hazard, and an inequitable health care system. Today many low-and middle-income countries are no longer listening to this dichotomized debate between vertical and horizontal approaches to health care. Instead, they are experimenting with new and innovative approaches to health care financing. Health insurance is becoming a new paradigm for reaching the Millennium Development Goals (MDGs). They emphasize the need to combine several instruments to achieve three major development objectives in health care financing: 1) sustainable access to needed health care; 2) greater financial protection against the impoverishing cost of illness; and 3) reduction in social exclusion from organized health financing instruments. The use of insurance was recommended to pay for less frequent, higher-cost risks and subsidies to cover affordability for poorer patients to higher-frequency, lower-cost health problems.

Ghana has committed politically, legislatively, and fiscally to providing universal health insurance coverage for its population with the intent of reducing financial barriers to utilization of health care.. However, under current cost and enrollment projections the system will not be financially sustainable in the long term, so there is more work to do. This book provides an important evidence-based review of the current performance of Ghana's health system and options for reform. As such, it provides an overall picture of the Ghana health sector, how things were and how things have changed, as well as a situational analysis of the performance of the health delivery and health financing systems using the latest available data. Finally, it discusses key reform issues and options in the context of the country's likely fiscal space. An important and valuable contribution of this book is its examination of how Ghana is performing compared to its neighboring countries and compared to other countries with similar incomes and health spending, providing global benchmarks for Ghana's health system performance.

BACKGROUNDRecently, the Massachusetts Group Insurance Commission (GIC) prioritized research on the implications of a clause expressly prohibiting the denial of health insurance coverage for transgender-related services. These medically necessary services include primary and preventive care as well as transitional therapy.OBJECTIVETo analyze the cost-effectiveness of insurance coverage for medically necessary transgender-related services.DESIGNMarkov model with 5- and 10-year time horizons from a U.S. societal perspective, discounted at 3 % (USD 2013). Data on outcomes were abstracted from the 2011 National Transgender Discrimination Survey (NTDS).PATIENTSU.S. transgender population starting before transitional therapy.INTERVENTIONSNo health benefits compared to health insurance coverage for medically necessary services. This coverage can lead to hormone replacement therapy, sex reassignment surgery, or both.MAIN MEASURESCost per quality-adjusted life year (QALY) for successful transition or negative outcomes (e.g. HIV, depression, suicidality, drug abuse, mortality) dependent on insurance coverage or no health benefit at a willingness-to-pay threshold of $100,000/QALY. Budget impact interpreted as the U.S. per-member-per-month cost.KEY RESULTSCompared to no health benefits for transgender patients ($23,619; 6.49 QALYs), insurance coverage for medically necessary services came at a greater cost and effectiveness ($31,816; 7.37 QALYs), with an incremental cost-effectiveness ratio (ICER) of $9314/QALY. The budget impact of this coverage is approximately $0.016 per member per month. Although the cost for transitions is $10,000–22,000 and the cost of provider coverage is $2175/year, these additional expenses hold good value for reducing the risk of negative endpoints —HIV, depression, suicidality, and drug abuse. Results were robust to uncertainty. The probabilistic sensitivity analysis showed that provider coverage was cost-effective in 85 % of simulations.CONCLUSIONSHealth insurance coverage for the U.S. transgender population is affordable and cost-effective, and has a low budget impact on U.S. society. Organizations such as the GIC should consider these results when examining policies regarding coverage exclusions.

Background Universal health coverage (UHC) requires strong institutional capacity, equity-oriented policies, sustained political and financial commitment and public trust. However, public confidence in many health systems, including Mexico’s, has been chronically undermined. This study aims to document Mexico’s health coverage trajectory by offering a comprehensive, disaggregated and longitudinal assessment of insurance coverage from 2000 to 2023 – highlighting both achievements and setbacks in the context of UHC2030 goals. Methods This study used nationally representative data from Mexico’s National Household Income and Expenditure Survey (ENIGH) from 2000 to 2022, with projections for 2023. Households were classified into mutually exclusive health insurance categories on the basis of institutional affiliation. National and subnational trends in coverage were analysed, with attention to major reforms and disruptions. A distance-to-frontier metric quantified the gap between 2023 coverage and each state’s historical maximum, enabling assessment of progress toward UHC goals. Results Between 2000 and 2015, Mexico reduced the uninsured population from 55% to 6.2%, largely driven by Seguro Popular (SP) expansion benefiting Indigenous peoples, rural and low-income households in high-deprivation states. Following SP’s dismantling in 2019, the launch of Health Institute for Welfare (INSABI), and the COVID-19 pandemic, uninsured rates rose sharply to 29.1% by 2023. The greatest losses in coverage occurred in southern states and among marginalized groups, deepening territorial and social inequalities. The decline in mixed public coverage further reflects system fragmentation and eroding public trust. The distance-to-frontier analysis revealed that several states need to more than double their coverage to regain previous levels. Conclusions Mexico’s experience highlights that health coverage gains are reversible without strong institutional foundations, political consensus and social legitimacy. Rebuilding and sustaining UHC requires deliberate efforts to address structural inequalities, strengthen institutions and restore public trust. For other low- and middle-income countries, this case emphasizes the urgent need for institutions restructured to foster adaptive capacity alongside equity-focused strategies to achieve and sustain UHC.

Background South Korea’s National Health Insurance (NHI) system pursues universal health coverage, but it has not been able to alleviate patients’ financial burden owing to limited coverage and a high proportion of out-of-pocket expenses. In 2017, the government announced a plan to strengthen universality by providing coverage for all unincluded services, expanding coverage, and alleviating household financial burden. We aimed to evaluate the effect of “Moon Care” with a focus on changes in health expenditures following policy implementation, and to provide empirical evidence for future policies to strengthen the NHI system’s universality. Methods Using data from the 2016 and 2018 Korea Health Panel (KHP), we established a treatment group affected by the policy and an unaffected control group; we ensured homogeneity between the groups using propensity score matching (PSM). Subsequently, we examined changes in NHI payments, non-payments, and out-of-pocket payments (OOP); we performed difference-in-differences (DID) analysis to evaluate the policy’s effect. Results Following policy implementation, the control group had a higher increase than the treatment group in all categories of health expenditures, including NHI payments, non-payments, and OOP. We noted significant decreases in all three categories of health expenditures when comparing the differences before and after policy implementation, as well as between the treatment and control groups. However, we witnessed a significant decrease in the interaction term, which confirms the policy’s effect, but only for non-payments. Conclusions We observed the policy’s intervention effect over time as a decrease in non-payments, on the effectivity of remunerating covered medical services. However, the policy did not work for NHI payments and OOP, suggesting that it failed to control the creation of new non-covered services as noncovered services were converted into covered ones. Thus, it is crucial to discuss the financial spending of health insurance regarding the inclusion of non-covered services in the NHI benefits package.

Background Community-Based Health Insurance is an emerging concept for providing financial protection against the cost of illness and improving access to quality health services for low-income households excluded from formal insurance and taken as a soft option by many countries. Therefore, exploring the spatial distribution of health insurance is crucial to prioritizing and designing targeted intervention policies in the country. Methods A total of 8,663 households aged 15–95 years old were included in this study. The Bernoulli model was used by applying Kulldorff methods using the SaTScan software to analyze the purely spatial clusters of community based health insurance. ArcGIS version 10.3 was used to visualize the distribution of community-based health insurance coverage across the country. Mixed-effect logistic regression analysis was also used to identify predictors of community-based health insurance coverage. Results Community based health insurance coverage among households had spatial variations across the country by regions (Moran’s I: 0.252, p  < 0.0001). Community based health insurance in Amhara ( p  < 0.0001) and Tigray ( p  < 0.0001) regions clustered spatially. Age from 15–29 and 30–39 years (Adjusted Odds Ratio 0.46(AOR = 0.46, CI: 0.36,0.60) and 0.77(AOR = 0.77, CI: 0.63,0.96), primary education level 1.57(AOR = 1.57, CI: 1.15,2.15), wealth index of middle and richer (1.71(AOR = 1.71, CI: 1.30,2.24) and 1.79(AOR = 1.79, CI: 1.34,2.41), family size > 5, 0.82(AOR = 0.82, CI: 0.69,0.96),respectively and regions Afar, Oromia, Somali, Benishangul Gumuz, SNNPR, Gambella, Harari, Addis Ababa and Dire Dawa was 0.002(AOR = 0.002, CI: 0.006,0.04), 0.11(AOR = 0.11, CI: 0.06,0.21) 0.02(AOR = 0.02, CI: 0.007,0.04), 0.04(AOR = 0.04, CI: 0.02,0.08), 0.09(AOR = 0.09, CI: 0.05,0.18),0.004(AOR = 0.004,CI:0.02,0.08),0.06(AOR = 0.06,CI:0.03,0.14), 0.07(AOR = 0.07, CI: 0.03,0.16) and 0.03(AOR = 0.03, CI: 0.02,0.07) times less likely utilize community based health insurance than the Amhara region respectively in Ethiopia. Conclusion Community based health insurance coverage among households in Ethiopia was found very low still. The government needs to develop consistent financial and technical support and create awareness for regions with lower health insurance coverage.

Background China has nearly achieved universal health insurance coverage, but considerable unmet healthcare needs still exist. Although this topic has attracted great attention, there have been few studies examining the relationship between universal health insurance coverage and unmet healthcare needs. This study aimed to clarify the impact of universal health insurance coverage and other associated factors on Chinese residents’ unmet healthcare needs. Methods Data was derived from the fourth, fifth, and sixth National Health Service Survey of Jiangsu Province, which were conducted in 2008, 2013, and 2018, respectively. Descriptive statistics were used to analyze the prevalence of unmet healthcare needs. Binary multivariate logistic regression was used to estimate the association between unmet healthcare needs and universal health insurance coverage, along with other socioeconomic factors. Results 8.99%, 1.37%, 53.37%, and 13.16% of the respondents in Jiangsu Province reported non-use of outpatient services, inpatient services, physical examinations, and early discharge from hospital, respectively. The trend in the prevalence of unmet healthcare needs showed a decline from 2008 to 2018. Health insurance had a significant reducing effect on non-use of outpatient services, inpatient services, or early discharge from hospital. People having health insurance in 2013 and 2018 were significantly less likely to report unmet healthcare needs compared to those in 2008. The effect of health insurance and its universal coverage on reducing unmet healthcare needs was greater in rural than in urban areas. Other socioeconomic factors, such as age, marital status, educational level, income level, or health status, also significantly affected unmet healthcare needs. Conclusions Universal health insurance coverage has significantly reduced Chinese residents’ unmet healthcare needs. Policy efforts should pay more attention to the benefits of health insurances in rural areas and optimize urban-rural health resources to promote effective utilization of healthcare.

Despite the increasing interest in universal health care, little is known about the optimal way to finance, design, and implement it. This paper attempts to fill this gap by providing some general policy recommendations on this important issue. While most of the paper addresses the Eastern Caribbean Currency Union (ECCU) countries, its policy implications are applicable to any country. The paper finds that the best financing option is country-specific¯depending on a country's economic, cultural, institutional, demographic and epidemiological characteristics, as well as political economy considerations. However, taxation should be the primary financing source. It also concludes that an appropriate and realistic benefit package would need to be designed to ensure the system's financial viability. Regarding the optimal way to implement universal health care, certain preconditions are needed, including sound public administration, a small informal economy, and a transparent health financing system that builds social consensus.