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BACKGROUND: Governance, health financing, and service delivery are critical elements of health systems for provision of robust and sustainable chronic disease care. We leveraged the third iteration of the International Society of Nephrology Global Kidney Health Atlas (ISN-GKHA) to evaluate oversight and financing for kidney care worldwide. METHODS: A survey was administered to stakeholders from countries affiliated with the ISN from July to September 2022. We evaluated funding models utilized for reimbursement of medications, services for the management of chronic kidney disease, and provision of kidney replacement therapy (KRT). We also assessed oversight structures for the delivery of kidney care. RESULTS: Overall, 167 of the 192 countries and territories contacted responded to the survey, representing 97.4% of the global population. High-income countries tended to use public funding to reimburse all categories of kidney care in comparison with low-income countries (LICs) and lower-middle income countries (LMICs). In countries where public funding for KRT was available, 78% provided universal health coverage. The proportion of countries that used public funding to fully reimburse care varied for non-dialysis chronic kidney disease (27%), dialysis for acute kidney injury (either hemodialysis or peritoneal dialysis) (44%), chronic hemodialysis (45%), chronic peritoneal dialysis (42%), and kidney transplant medications (36%). Oversight for kidney care was provided at a national level in 63% of countries, and at a state/provincial level in 28% of countries. CONCLUSION: This study demonstrated significant gaps in universal care coverage, and in oversight and financing structures for kidney care, particularly in in LICs and LMICs.

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Objective: To develop a framework and index for measuring universal health coverage (UHC) at the district level in India and to assess progress towards UHC in the districts. Methods: We adapted the framework of the World Health Organization and World Bank to develop a district-level UHC index (UHC d ). We used routinely collected health survey and programme data in India to calculate UHC d for 687 districts from geometric means of 24 tracer indicators in five tracer domains: reproductive, maternal, newborn and child health; infectious diseases; noncommunicable diseases; service capacity and access; and financial risk protection. UHC d is on a scale of 0% to 100%, with higher scores indicating better performance. We also assessed the degree of inequality within districts using a subset of 14 tracer indicators. The disadvantaged subgroups were based on four inequality dimensions: wealth quintile, urban-rural location, religion and social group. Findings: The median UHC d was 43.9% (range: 26.4 to 69.4). Substantial geographical differences existed, with districts in southern states having higher UHC d than elsewhere in India. Service coverage indicator levels were greater than 60%, except for noncommunicable diseases and for service capacity and access. Health insurance coverage was limited, with about 10% of the population facing catastrophic and impoverishing health expenditure. Substantial wealth-based disparities in UHC were seen within districts. Conclusion: Our study shows that UHC can be measured at the local level and can help national and subnational government develop prioritization frameworks by identifying health-care delivery and geographic hotspots where limited progress towards UHC is being made.

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Background: Achieving universal health insurance coverage has become a fundamental policy for improving the accessibility and equity of healthcare services. China's Urban-Rural Resident Basic Medical Insurance (URRBMI) is a crucial component of the social security system, aimed at promoting social equity and enhancing public welfare. However, the effectiveness of this policy in improving rural residents' social fairness perceptions (SFP) remains to be tested. Objective: To examine the impact of the urban-rural resident basic medical insurance (URRBMI) on rural residents' social fairness perception (SFP) in China. Methods and samples: The study utilizes city-level and national micro-survey (CGSS) datasets, applying a time-varying difference-in-difference (DID) approach to analyze the equity effects of URRBMI. Excluding urban samples, the final dataset consists of 20,800 rural respondents from 2010, 2011, 2013, and 2015, covering 89 cities. Results: Key findings reveal that URRBMI has a significant negative effect on SFP. The impact varies depending on the integration model and intensifies over time. Additionally, the negative effect shows heterogeneity based on income, age, health, and region. Conclusion: This study highlights the complexities and impacts of integrating China's urban and rural healthcare systems. It provides a detailed understanding of the role of URRBMI in rural China, emphasizing the need for targeted approaches to improve rural residents' perceptions of social fairness. The research offers specific policy recommendations, such as establishing differentiated contribution standards, implementing welfare policies favoring rural residents, and adopting varied reimbursement rates for different diseases.

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BACKGROUND: Low-income countries bear a growing and disproportionate burden of oral diseases. With the World Health Organization targeting universal oral health coverage by 2030, assessing the state of oral health coverage in these resource-limited nations becomes crucial. This research seeks to examine the political and resource commitments to oral health, along with the utilization rate of oral health services, across 27 low-income countries. METHODS: We investigated five aspects of oral health coverage in low-income countries, including the integration of oral health in national health policies, covered oral health services, utilization rates, expenditures, and the number of oral health professionals. A comprehensive search was conducted across seven bibliographic databases, three grey literature databases, and national governments' and international organizations' websites up to May 2023, with no linguistic restrictions. Countries were categorized into "full integration", "partial integration", or "no integration" based on the presence of dedicated oral health policies and the frequency of oral health mentions. Covered oral health services, utilization rates, expenditure trends, and the density of oral health professionals were analyzed using evidence from reviews and data from World Health Organization databases. RESULTS: A total of 4242 peer-reviewed and 3345 grey literature texts were screened, yielding 12 and 84 files respectively to be included in the final review. Nine countries belong to "full integration" and thirteen countries belong to "partial integration", while five countries belong to "no integration". Twelve countries collectively covered 26 types of oral health care services, with tooth extraction being the most prevalent service. Preventive and public health-based oral health interventions were scarce. Utilization rates remained low, with the primary motivation for seeking care being dental pain relief. Expenditures on oral health were minimal, predominantly relying on domestic private sources. On average, the 27 low-income countries had 0.51 dentists per 10,000 population, contrasting with 2.83 and 7.62 in middle-income and high-income countries. CONCLUSIONS: Oral health care received little political and resource commitment toward achieving universal health coverage in low-income countries. Urgent action is needed to mobilize financial and human resources, and integrate preventive and public health-based interventions.

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Progress towards universal health coverage is monitored by the incidence of catastrophic spending. Two catastrophic spending indicators are commonly used in Europe: Sustainable Development Goal (SDG) indicator 3.8.2 and the WHO Regional Office for Europe (WHO/Europe) indicator. The use of different indicators can cause confusion, especially if they produce contradictory results and policy implications. We use harmonised household budget survey data from 27 European Union countries covering 505,217 households and estimate the risk of catastrophic spending, conditional on household characteristics and the design of medicines co-payments. We calculate the predicted probability of catastrophic spending for particular households, which we call LISAs, under combinations of medicines co-payment policies and compare predictions across the two indicators. Using the WHO/Europe indicator, any combination of two or more protective policies (i.e. low fixed co-payments instead of percentage co-payments, exemptions for low-income households and income-related caps on co-payments) is associated with a statistically significant lower risk of catastrophic spending. Using the SDG indicator, confidence intervals for every combination of protective policies overlap with those for no protective policies. Although out-of-pocket medicines spending is a strong predictor of catastrophic spending using both indicators, the WHO/Europe indicator is more sensitive to medicines co-payment policies than the SDG indicator, making it a better indicator to monitor health system equity and progress towards UHC in Europe.

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BACKGROUND: Pakistan embarked on a process of designing an essential package of health services (EPHS) as a pathway towards universal health coverage (UHC). The EPHS design followed an evidence-informed deliberative process; evidence on 170 interventions was introduced along multiple stages of appraisal engaging different stakeholders tasked with prioritising interventions for inclusion. We report on the composition of the package at different stages, analyse trends of prioritised and deprioritised interventions and reflect on the trade-offs made. METHODS: Quantitative evidence on cost-effectiveness, budget impact, and avoidable burden of disease was presented to stakeholders in stages. We recorded which interventions were prioritised and deprioritised at each stage and carried out three analyses: (1) a review of total number of interventions prioritised at each stage, along with associated costs per capita and disability-adjusted life years (DALYs) averted, to understand changes in affordability and efficiency in the package, (2) an analysis of interventions broken down by decision criteria and intervention characteristics to analyse prioritisation trends across different stages, and (3) a description of the trajectory of interventions broken down by current coverage and cost-effectiveness. RESULTS: Value for money generally increased throughout the process, although not uniformly. Stakeholders largely prioritised interventions with low budget impact and those preventing a high burden of disease. Highly cost-effective interventions were also prioritised, but less consistently throughout the stages of the process. Interventions with high current coverage were overwhelmingly prioritised for inclusion. CONCLUSION: Evidence-informed deliberative processes can produce actionable and affordable health benefit packages. While cost-effective interventions are generally preferred, other factors play a role and limit efficiency.

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Pakistan developed an essential package of health services at the primary healthcare (PHC) level as a key component of health reforms aiming to achieve universal health coverage (UHC). This supplement describes the methods and processes adopted for evidence-informed prioritization of services, policy decisions adopted, and the lessons learned in package design as well as in the transition to effective rollout. The papers conclude that evidence-informed deliberative processes can be effectively applied to design affordable packages of services that represent good value for money and address a major part of the disease burden. Transition to implementation requires a comprehensive assessment of health system gaps, strong engagement of the planning and financing sectors, serious involvement of key national stakeholders and the private health sector, capacity building, and institutionalization of technical and managerial skills. Pakistan's experience highlights the need for updating the evidence and model packages of the Disease Control Priorities 3 (DCP3) initiative and reinforcing international collaboration to support technical guidance to countries in priority setting and UHC reforms.

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BACKGROUND: Kerala has initiated many Universal Health Coverage (UHC) reforms in the last decade. The Aardram Mission launched in 2017 stands out owing to its scope, objectives, and commitments for strengthening Primary Health Care (PHC) in the State. The current study proposes to explore access and financial protection through the lens of equity in Kerala especially in the context of major UHC reforms carried out during the last decade. This paper will also highlight the key lessons from Kerala's approach towards UHC and health systems strengthening through a political economy approach. METHODS: Data from the Kerala state sample of 75th Round (2017-18) National Sample Survey is used for this study. Comparison is also drawn from the 71st Round Sample Survey, 2014, to measure the state's progress in terms of access and financial protection. Logistic regression was used for the calculation. The findings were further explored through a political economy approach. RESULTS: The share of public facilities for outpatient care is 47.5%, which is a significant increase from 34.0% (in 2014) in the state. The share of public sector for out-patient care has increased for the lower socio-economic population in the state. The share of public sector for in-patient care has also increased to 37.3% in 2017-18 from 33.9% in 2014, but not to the extent as the increase shown in outpatient care. The average out-of-pocket-expenditure during hospitalization has increased more in private facilities as compared to public for both outpatient care and hospitalization. CONCLUSIONS: Overall increase in the share of public facilities for both outpatient care and hospitalization is indicative of the enhanced trust among the people at large of the public healthcare delivery system in Kerala, post the launch of UHC reforms in the State. The insurance linked UHC reforms would be insufficient for the State to progress further towards UHC. Kerala with a long and successful history in 'public provisioning' should focus more on strengthening PHC through Aardram Mission in its journey towards pursuit of UHC.

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BACKGROUND: The Federal Ministry of National Health Services, Regulations and Coordination (MNHSR&C) in Pakistan has committed to progress towards universal health coverage (UHC) by 2030 by providing an Essential Package of Health Services (EPHS). Starting in 2019, the Disease Control Priorities 3rd edition (DCP3) evidence framework was used to guide the development of Pakistan's EPHS. In this paper, we describe the methods and results of a rapid costing approach used to inform the EPHS design process. METHODS: A total of 167 unit costs were calculated through a context-specific, normative, ingredients-based, and bottom-up economic costing approach. Costs were constructed by determining resource use from descriptions provided by MNHSR&C and validated by technical experts. Price data from publicly available sources were used. Deterministic univariate sensitivity analyses were carried out. RESULTS: Unit costs ranged from 2019 US$ 0.27 to 2019 US$ 1478. Interventions in the cancer package of services had the highest average cost (2019 US$ 837) while interventions in the environmental package of services had the lowest (2019 US$ 0.68). Cost drivers varied by platform; the two largest drivers were drug regimens and surgery-related costs. Sensitivity analyses suggest our results are not sensitive to changes in staff salary but are sensitive to changes in medicine pricing. CONCLUSION: We estimated a large number of context-specific unit costs, over a six-month period, demonstrating a rapid costing method suitable for EPHS design.

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From the WHO's perspective, trained and motivated healthcare workers can promote community access to essential health services in deprived areas; this could also help achieve the millennium development goals. The concentration of healthcare workers in the capital has caused a lack of them in deprived areas and made delivering services difficult in almost all rural and underdeveloped areas. So, one of the main concerns of all health systems is planning to attract and keep physicians in underprivileged areas.The number of retained physicians has tripled.24/7 coverage of specialised medical services in the hospital has been provided.People's access to health care has improved.Dispatching of patients to other cities' hospitals for essential medical services has been minimised by providing it locally.Illegal payments have been eliminated.This practice study aims to present Iran's Universal Health Coverage approach to addressing the lack of access to physicians in deprived areas through the 'supporting physician retention in deprived areas' programme and demonstrate its outcomes from 2014 to 2016. This national programme is designed to improve people's access to high-quality health services and reduce out-of-pocket payments at hospitals in underdeveloped areas.The number of retained physicians has tripled.24/7 coverage of specialised medical services in the hospital has been provided.People's access to health care has improved.Dispatching of patients to other cities' hospitals for essential medical services has been minimised by providing it locally.Illegal payments have been eliminated.The programme began by ranking all the cities in the country based on socioeconomic indicators. Then, 302 regions in 30 provinces of Iran were selected and classified into four groups. Finally, each group's incentive package was defined, consisting of a combination of fixed and performance-oriented payments. This programme has obtained the following achievements in the deprived areas:The number of retained physicians has tripled.24/7 coverage of specialised medical services in the hospital has been provided.People's access to health care has improved.Dispatching of patients to other cities' hospitals for essential medical services has been minimised by providing it locally.Illegal payments have been eliminated.

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BACKGROUND: In 2018, Kenya's Ministry of Health (MoH) gazetted the Health Benefits Package Advisory Panel (HBPAP) to develop a benefits package for its universal health coverage (UHC) programme. In this study, we examine the political process that led to the gazettement of the HBPAP. METHODS: We conducted a case study based on semi-structured interviews with 20 national-level participants and, reviews of documents such as organizational and media reports. We analyzed data from the interviews and documents thematically using the Braun and Clarke's six step approach. We identified codes and themes deductively using Kingdon's Multiple Streams Theory which postulates that the successful emergence of a policy follows coupling of three streams: the problem, policy, and politics streams. RESULTS: We found that the problem stream was characterized by fragmented and implicit healthcare priority-setting processes that led to unaffordable, unsustainable, and wasteful benefits packages. A potential policy solution for these problems was the creation of an independent expert panel that would use an explicit and evidence-based healthcare priority-setting process to develop an affordable and sustainable benefits package. The political stream was characterized by the re-election of the government and the appointment of a new Cabinet Secretary for Health. Coupling of the problem, policy, and political streams occurred during a policy window that was created by the political prioritization of UHC by the newly re-elected government. Policy entrepreneurs who included health economists, health financing experts, health policy analysts, and health systems experts leveraged this policy window to push for the establishment of an independent expert panel as a solution for the issues identified in the problem stream. They employed strategies such as forming networks, framing, marshalling evidence, and utilizing political connections. CONCLUSION: Applying Kingdon's theory in this study was valuable in explaining why the HBPAP policy idea was gazetted. It demonstrated the crucial role of policy entrepreneurs and the strategies they employed to couple the three streams during a favourable policy window. This study contributes to the body of literature on healthcare priority-setting processes with an unusual analysis focused on a key procedural policy for such processes.

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BACKGROUND: Universal health coverage (UHC) ensures affordability of a variety of essential health services for the general population. Although UHC could mitigate the harmful effects of coronavirus disease 2019 (COVID-19) on patients and their socioeconomic position, the debate on UHC's scope and ability to improve health outcomes is ongoing. This study aimed to identify the impact of UHC policy withdrawal on the health outcomes of South Korea's severely ill COVID-19 patients. METHODS: We used a propensity score matching (PSM) and difference-in-differences combined model. This study's subjects were 44,552 hospitalized COVID-19 patients contributing towards health insurance claims data, COVID-19 notifications and vaccination data extracted from the National Health Information Database and the Korea Disease Control and Prevention Agency from 1 December 2020 to 30 April 2022. After PSM, 2460 patients were included. This study's exposures were severity of illness and UHC policy change. The primary outcome was the case fatality rate (CFR) for COVID-19, which was defined as death within 30 days of a COVID-19 diagnosis. There were four secondary outcomes, including time interval between diagnosis and hospitalization (days), length of stay (days), total medical expenses (USD) and the time interval between diagnosis and death (days). RESULTS: After the UHC policy's withdrawal, the severely ill patients' CFR increased to 284 per 1000 patients [95% confidence interval (CI) 229.1-338.4], hospitalization days decreased to 9.61 days (95% CI -11.20 to -8.03) and total medical expenses decreased to 5702.73 USD (95% CI -7128.41 to -4202.01) compared with those who were not severely ill. CONCLUSIONS: During the pandemic, UHC may have saved the lives of severely ill COVID-19 patients; therefore, expanding services and financial coverage could be a crucial strategy during public health crises.

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BACKGROUND: Over the years, low-and middle-income countries have adopted several policy initiatives to strengthen community health systems as means to attain Universal Health Coverage (UHC). In this regard, Zambia passed a Community Health Strategy in 2017 that was later halted in 2019. This paper explores the processes that led to the halting and re-issuing of this strategy with the view of drawing lessons to inform the development of such strategies in Zambia and other similar settings. METHODS: We employed a qualitative case study comprising 20 semi-structured interviews with key stakeholders who had participated in either the development, halting, or re-issuing of the two strategies, respectively. These stakeholders represented the Ministry of Health, cooperating partners and other non-government organizations. Inductive thematic analysis approach was used for analysis. RESULTS: The major reasons for halting and re-issuing the community health strategy included the need to realign it with the national development framework such as the 7th National Development Plan, lack of policy ownership, political influence, and the need to streamline the coordination of community health interventions. The policy process inadequately addressed the key tenets of community health systems such as complexity, adaptation, resilience and engagement of community actors resulting in shortcomings in the policy content. Furthermore, the short implementation period, lack of dedicated staff, and inadequate engagement of stakeholders from other sectors threatened the sustainability of the re-issued strategy. CONCLUSION: This study underscores the complexity of community health systems and highlights the challenges these complexities pose to health policymaking efforts. Countries that embark on health policymaking for community health systems must reflect on issues such as persistent fragmentation, which threaten the policy development process. It is crucial to ensure that these complexities are considered within similar policy engagement processes.

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BACKGROUND: The Disease Control Priorities 3 (DCP3) project provides long-term support to Pakistan in the development and implementation of its universal health coverage essential package of health services (UHC-EPHS). This paper reports on the priority setting process used in the design of the EPHS during the period 2019-2020, employing the framework of evidence-informed deliberative processes (EDPs), a tool for priority setting with the explicit aim of optimising the legitimacy of decision-making in the development of health benefit packages. METHODS: We planned the six steps of the framework during two workshops in the Netherlands with participants from all DCP3 Pakistan partners (October 2019 and February 2020), who implemented these at the country level in Pakistan in 2019 and 2020. Following implementation, we conducted a semi-structured online survey to collect the views of participants in the UHC benefit package design about the prioritisation process. RESULTS: The key steps in the EDP framework were the installation of advisory committees (involving more than 150 members in several Technical Working Groups [TWGs] and a National Advisory Committee [NAC]), definition of decision criteria (effectiveness, cost-effectiveness, avoidable burden of disease, equity, financial risk protection, budget impact, socio-economic impact and feasibility), selection of interventions for evaluation (a total of 170), and assessment and appraisal (across the three dimensions of the UHC cube) of these interventions. Survey respondents were generally positive across several aspects of the priority setting process. CONCLUSION: Despite several challenges, including a partial disruption because of the COVID-19 pandemic, implementation of the priority setting process may have improved the legitimacy of decision-making by involving stakeholders through participation with deliberation, and being evidence-informed and transparent. Important lessons were learned that can be beneficial for other countries designing their own health benefit package such as on the options and limitations of broad stakeholder involvement.

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BACKGROUND: Countries designing a health benefit package (HBP) to support progress towards universal health coverage (UHC) require robust cost-effectiveness evidence. This paper reports on Pakistan's approach to assessing the applicability of global cost-effectiveness evidence to country context as part of a HBP design process. METHODS: A seven-step process was developed and implemented with Disease Control Priority 3 (DCP3) project partners to assess the applicability of global incremental cost-effectiveness ratios (ICERs) to Pakistan. First, the scope of the interventions to be assessed was defined and an independent, interdisciplinary team was formed. Second, the team familiarized itself with intervention descriptions. Third, the team identified studies from the Tufts Medical School Global Health Cost-Effectiveness Analysis (GH-CEA) registry. Fourth, the team applied specific knock-out criteria to match identified studies to local intervention descriptions. Matches were then cross-checked across reviewers and further selection was made where there were multiple ICER matches. Sixth, a quality scoring system was applied to ICER values. Finally, a database was created containing all the ICER results with a justification for each decision, which was made available to decision-makers during HBP deliberation. RESULTS: We found that less than 50% of the interventions in DCP3 could be supported with evidence of cost-effectiveness applicable to the country context. Out of 78 ICERs identified as applicable to Pakistan from the Tufts GH-CEA registry, only 20 ICERs were exact matches of the DCP3 Pakistan intervention descriptions and 58 were partial matches. CONCLUSION: This paper presents the first attempt globally to use the main public GH-CEA database to estimate cost-effectiveness in the context of HBPs at a country level. This approach is a useful learning for all countries trying to develop essential packages informed by the global database on ICERs, and it will support the design of future evidence and further development of methods.

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BACKGROUND: Pakistan developed its first national Essential Package of Health Services (EPHS) as a key step towards accelerating progress in achieving Universal Health Coverage (UHC). We describe the rationale, aims, the systematic approach followed to EPHS development, methods adopted, outcomes of the process, challenges encountered, and lessons learned. METHODS: EPHS design was led by the Ministry of National Health Services, Regulations & Coordination. The methods adopted were technically guided by the Disease Control Priorities 3 Country Translation project and existing country experience. It followed a participatory and evidence-informed prioritisation and decision-making processes. RESULTS: The full EPHS covers 117 interventions delivered at the community, health centre and first-level hospital platforms at a per capita cost of US$29.7. The EPHS also includes an additional set of 12 population-based interventions at US$0.78 per capita. An immediate implementation package (IIP) of 88 district-level interventions costing US$12.98 per capita will be implemented initially together with the population-based interventions until government health allocations increase to the level required to implement the full EPHS. Interventions delivered at the tertiary care platform were also prioritised and costed at US$6.5 per capita, but they were not included in the district-level package. The national EPHS guided the development of provincial packages using the same evidence-informed process. The government and development partners are in the process of initiating a phased approach to implement the IIP. CONCLUSION: Key ingredients for a successful EPHS design requires a focus on package feasibility and affordability, national ownership and leadership, and solid engagement of national stakeholders and development partners. Major challenges to the transition to implementation are to continue strengthening the national technical capacity, institutionalise priority setting and package design and its revision in ministries of health, address health system gaps and bridge the current gap in financing with the progressive increase in coverage towards 2030.

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BACKGROUND: Universal Health Coverage (UHC) is a common health policy objective outlined in the Sustainable Development Goals. With provincial governments taking the initiative, Pakistan has implemented and extended UHC program amid a complex public health landscape. In this context, we assess Pakistan's progress toward achieving UHC at the national and subnational level. METHODS: We use data from the Demographic and Health Surveys and the Household Integrated Economic Survey to construct a UHC index at the national and subnational level for 2007, 2013, and 2018. Furthermore, we use Concentration Index (CI) and CI decomposition methodologies to assess the primary drivers of inequality in accessing medical services. Logistic regression and Sartori's two-step model are applied to examine the key determinants of catastrophic health expenditure (CHE). RESULTS: Our analysis underscores Pakistan's steady progress toward UHC, while revealing significant provincial disparities in UHC progress. Provinces with lower poverty rate achieve higher UHC index, which highlights the synergy of poverty alleviation and UHC expansion. Among the examined indicators, child immunization remains a key weakness that one third of the children are not fully vaccinated and one sixth of these not-fully-vaccinated children have never received any vaccination. Socioeconomic status emerges as a main contributor to disparities in accessing medical services, albeit with a declining trend over time. Household socioeconomic status is negatively correlated with CHE incidence, indicating that wealthier households are less susceptible to CHE. For individuals experiencing CHE, medicine expenditure takes the highest share of their health spending, registering a staggering 70% in 2018. CONCLUSION: Pakistan's progress toward UHC aligns closely with its economic development trajectory and policy efforts in expanding UHC program. However, economic underdevelopment and provincial disparities persist as significant hurdles on Pakistan's journey toward UHC. We suggest continued efforts in UHC program expansion with a focus on policy consistency and fiscal support, combined with targeted interventions to alleviate poverty in the underdeveloped provinces.

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BACKGROUND: India launched a national health insurance scheme named Ayushman Bharat Pradhan Mantri Jan Arogya Yojana (AB-PMJAY) in 2018 as a key policy for universal health coverage. The ambitious scheme covers 100 million poor households. None of the studies have examined its impact on the quality of care. The existing studies on the impact of AB-PMJAY on financial protection have been limited to early experiences of its implementation. Since then, the government has improved the scheme's design. The current study was aimed at evaluating the impact of AB-PMJAY on improving utilisation, quality, and financial protection for inpatient care after four years of its implementation. METHODS: Two annual waves of household surveys were conducted for years 2021 and 2022 in Chhattisgarh state. The surveys had a sample representative of the state's population, covering around 15,000 individuals. Quality was measured in terms of patient satisfaction and length of stay. Financial protection was measured through indicators of catastrophic health expenditure at different thresholds. Multivariate adjusted models and propensity score matching were applied to examine the impacts of AB-PMJAY. In addition, the instrumental variable method was used to address the selection problem. RESULTS: Enrollment under AB-PMJAY was not associated with increased utilisation of inpatient care. Among individuals enrolled under AB-PMJAY who utilised private hospitals, the proportion incurring catastrophic health expenditure at the threshold of 10% of annual consumption expenditure was 78.1% and 70.9% in 2021 and 2022, respectively. The utilisation of private hospitals was associated with greater catastrophic expenditure irrespective of AB-PMJAY coverage. Enrollment under AB-PMJAY was not associated with reduced out-of-pocket expenditure or catastrophic health expenditure. CONCLUSIONS: AB-PMJAY has achieved a large coverage of the population but after four years of implementation and an evidence-based increase in reimbursement prices for hospitals, it has not made an impact on improving utilisation, quality, or financial protection. The private hospitals contracted under the scheme continued to overcharge patients, and purchasing was ineffective in regulating provider behaviour. Further research is recommended to assess the impact of publicly funded health insurance schemes on financial protection in other low- and middle-income countries.

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INTRODUCTION: Universal Health Coverage (UHC) is a widely accepted objective among entities providing development assistance for health (DAH) and DAH recipient governments. One key metric to assess progress with UHC is financial risk protection, but empirical evidence on the extent to which DAH is associated to financial risk protection (and hence UHC) is scarce. METHODS: Our sample is comprised of 65 countries whose DAH per capita is above the population -weighted average DAH per capita across all countries. The sample comprises of 1.7 million household observations, for the period 2000-2016. We run country and year fixed effects regressions, and pseudo-panel models, to assess the association between DAH and three measures of financial risk protection: catastrophic health expenditure (i.e., out-of-pocket health expenditures larger than 10% of total household expenditures ['CHE10%']), out-of-pocket health expenditure as a share of total expenditure ('OOP%'), and impoverishment due to health expenditures, at the 1.90US$ per day poverty line ('IMP190'). RESULTS: on average, DAH investment does not appear to be significantly associated with financial risk protection outcomes. However, we find suggestive evidence that a 1 US$ increase in DAH per capita is negatively associated (i.e., an improvement) with at least one financial risk protection outcome for the poorest household quintile within countries (in fixed effects models, IMP190: 0.05 percentage points, p < 0.1; in pseudo-panel models, CHE10%: 0.12 percentage points, p < 0.01). DAH is also negatively associated (i.e., an improvement) with most financial risk protection outcomes when it is largely channelled via government systems (i.e., when it is "on-budget") (CHE10%: 0.68 percentage points, p < 0.05). Several robustness checks confirm these results. DISCUSSION: DAH investments require careful planning to improve financial risk protection. For example, positive DAH effects for the poorest quintiles of the population might be driven by DAH targeting poorer populations and doing so effectively. Our results also suggest that channelling more resources via governments might be a promising avenue to enhance the impact of DAH on financial risk protection.

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