Contemporary Public Health Finance: Varied Definitions, Patterns, and Implications.

The financing of public health systems and services relies on a complex and fragmented web of partners and funding priorities. Both underfunding and "dys-funding" contribute to preventable mortality, increases in disease frequency and severity, and hindered social and economic growth. These issues were both illuminated and magnified by the COVID-19 pandemic and associated responses. Further complicating issues is the difficulty in constructing adequate estimates of current public health resources and necessary resources. Each of these challenges inhibits the delivery of necessary services, leads to inequitable access and resourcing, contributes to resource volatility, and presents other deleterious outcomes. However, actions may be taken to defragment complex funding paradigms toward more flexible spending, to modernize and standardize data systems, and to assure equitable and sustainable public health investments.

Financing for pandemic preparedness and response measures: a systematic scoping review.

Objective: To obtain insights into reducing the shortfall in financing for pandemic preparedness and response measures, and reducing the risk of another pandemic with social and economic costs comparable to those of the coronavirus disease. Methods: We conducted a systematic scoping review using the databases ScienceDirect, Scopus, JSTOR, PubMed® and EconLit. We included articles published in any language until 1 August 2023, and excluded grey literature and publications on epidemics. We categorized eligible studies according to the elements of a framework proposed by the World Health Organization Council on the Economy of Health for All: (i) root/structural causes; (ii) social position/foundations; (iii) infrastructure and systems; and (iv) communities, households and individuals. Findings: Of the 188 initially identified articles, we included 60 in our review. Most (53/60) were published after 2020, when academic interest had shifted towards global financing mechanisms. Most (37/60) addressed two or more of the council framework elements. The most frequently addressed element was infrastructure and systems (54/60), discussing topics such as health systems, financial markets and innovation ecosystems. The roots/structural causes were discussed in 25 articles; communities, households and individuals in 22 articles; and social positions/foundations in 11. Conclusion: Our review identified three important gaps: a formal definition of pandemic preparedness and response, impeding the accurate quantification of the financing shortfall; research on the extent to which financing for pandemic preparedness and response has been targeted at the most vulnerable households; and an analysis of specific financial instruments and an evaluation of the feasibility of their implementation.

Machine learning in health financing: benefits, risks and regulatory needs.

There is increasing use of machine learning for the health financing functions (revenue raising, pooling and purchasing), yet evidence lacks for its effects on the universal health coverage (UHC) objectives. This paper provides a synopsis of the use cases of machine learning and their potential benefits and risks. The assessment reveals that the various use cases of machine learning for health financing have the potential to affect all the UHC intermediate objectives - the equitable distribution of resources (both positively and negatively); efficiency (primarily positively); and transparency (both positively and negatively). There are also both positive and negative effects on all three UHC final goals, that is, utilization of health services in line with need, financial protection and quality care. When the use of machine learning facilitates or simplifies health financing tasks that are counterproductive to UHC objectives, there are various risks - for instance risk selection, cost reductions at the expense of quality care, reduced financial protection or over-surveillance. Whether the effects of using machine learning are positive or negative depends on how and for which purpose the technology is applied. Therefore, specific health financing guidance and regulations, particularly for (voluntary) health insurance, are needed. To inform the development of specific health financing guidance and regulation, we propose several key policy and research questions. To gain a better understanding of how machine learning affects health financing for UHC objectives, more systematic and rigorous research should accompany the application of machine learning.

Alors que l'apprentissage machine connaît un usage croissant pour les fonctions de financement de la santé (collecte de revenus, mise en commun et achat), les preuves manquent quant à ses effets sur les objectifs de la couverture sanitaire universelle (CSU). Ce document présente une synthèse des cas d'utilisation de l'apprentissage machine et de leurs avantages et risques potentiels. L'évaluation révèle que les différents cas d'utilisation de l'apprentissage machine pour le financement de la santé sont susceptibles d'affecter tous les objectifs intermédiaires de la CSU: la distribution équitable des ressources (à la fois positivement et négativement), l'efficacité (principalement positivement) et la transparence (à la fois positivement et négativement). Il existe également des effets positifs et négatifs sur les trois objectifs finaux de la CSU, à savoir l'utilisation des services de santé en fonction des besoins, la protection financière et la qualité des soins. Lorsque l'utilisation de l'apprentissage machine facilite ou simplifie des tâches de financement de la santé qui vont à l'encontre des objectifs de la CSU, différents risques se font jour, comme la sélection des risques, la réduction des coûts au détriment de la qualité des soins, la réduction de la protection financière ou la surveillance excessive. Les effets positifs ou négatifs de l'utilisation de l'apprentissage machine dépendent de la manière dont la technologie est appliquée et de l'objectif poursuivi. C'est pourquoi s'imposent des orientations et des réglementations spécifiques en matière de financement de la santé, en particulier pour l'assurance maladie (volontaire). Afin d'éclairer l'élaboration de telles orientations et réglementations, nous proposons plusieurs questions clés en matière de politique et de recherche. Pour mieux comprendre la façon dont l'apprentissage machine affecte le financement de la santé dans le cadre des objectifs de la CSU, une recherche plus systématique et plus rigoureuse devrait accompagner la mise en œuvre de l'apprentissage machine.

Aunque el uso del aprendizaje automático para las funciones de financiación sanitaria (recaudación de ingresos, mancomunación y compra) es cada vez mayor, no hay evidencias de sus efectos sobre los objetivos de la cobertura sanitaria universal (CSU). Este documento ofrece una sinopsis de los casos de uso del aprendizaje automático y sus posibles beneficios y riesgos. La evaluación revela que los diversos casos de uso del aprendizaje automático para la financiación sanitaria tienen el potencial de afectar a todos los objetivos intermedios de la CSU: la distribución equitativa de los recursos (tanto positiva como negativamente), la eficiencia (principalmente positiva) y la transparencia (tanto positiva como negativamente). También hay efectos positivos y negativos en los tres objetivos finales de la CSU, es decir, la utilización de los servicios sanitarios en función de las necesidades, la protección financiera y la atención de calidad. El uso del aprendizaje automático para facilitar o simplificar tareas de financiación sanitaria contraproducentes para los objetivos de la CSU plantea diversos riesgos, como la selección de riesgos, la reducción de costes a expensas de la calidad de la atención, la disminución de la protección financiera o el exceso de vigilancia. El carácter positivo o negativo de los efectos del aprendizaje automático depende de cómo y con qué fin se aplique la tecnología. Por lo tanto, se necesitan directrices y reglamentos específicos para la financiación sanitaria, en particular para los seguros de salud (voluntarios). Proponemos varias preguntas clave en materia de política e investigación para contribuir a la elaboración de directrices y reglamentos específicos sobre financiación sanitaria. A fin de comprender mejor cómo afecta el aprendizaje automático al logro de los objetivos de la CSU en el ámbito de la financiación sanitaria, la aplicación del aprendizaje automático debería ir acompañada de una investigación más sistemática y rigurosa.

A global overview of health system financing and available infrastructure and oversight for kidney care.

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.

Redefining Debt-to-Health, a triple-win health financing instrument in global health.

BACKGROUND: As a recognized win-win-win approach to international debt relief, Debt-to-Health(D2H)has successfully translated debt repayments into investments in health-related projects. Although D2H has experienced modifications and periodic suspension, it has been playing an increasingly important role in resource mobilization in public health, particularly for low-and middle-income countries deep in debt. MAIN TEXT: D2H, as a practical health financing instrument, is not fully evidenced and gauged by academic literature though. We employed a five-step scoping review methodology. After posing questions, we conducted comprehensive literature searches across three databases and one official website to identify relevant studies.We also supplemented our research with expert interviews. Through this review and interviews, we were able to define the concept and structure of D2H, identify stakeholders, and assess its current shortcomings. Finally, we proposed relevant countermeasures and suggestions. CONCLUSION: This paper examines the D2H project's implementation structure and influencing variables, as well as the current research plan's limitations, with a focus on the role health funding institutions have played during the project's whole life. Simultaneously, it examines the interdependencies between debtor nations, creditor nations, and health financing establishments, establishing the groundwork for augmenting and revamping D2H within the ever-changing worldwide context of health development assistance.

Financing pandemic prevention, preparedness and response: lessons learned and perspectives for future.

BACKGROUND: The attainment of global health security goals and universal health coverage will remain a mirage unless African health systems are adequately funded to improve resilience to public health emergencies. The COVID-19 pandemic exposed the global inequity in accessing medical countermeasures, leaving African countries far behind. As we anticipate the next pandemic, improving investments in health systems to adequately finance pandemic prevention, preparedness, and response (PPPR) promptly, ensuring equity and access to medical countermeasures, is crucial. In this article, we analyze the African and global pandemic financing initiatives and put ways forward for policymakers and the global health community to consider. METHODS: This article is based on a rapid literature review and desk review of various PPPR financing mechanisms in Africa and globally. Consultation of leaders and experts in the area and scrutinization of various related meeting reports and decisions have been carried out. MAIN TEXT: The African Union (AU) has demonstrated various innovative financing mechanisms to mitigate the impacts of public health emergencies in the continent. To improve equal access to the COVID-19 medical countermeasures, the AU launched Africa Medical Supplies Platform (AMSP) and Africa Vaccine Acquisition Trust (AVAT). These financing initiatives were instrumental in mitigating the impacts of COVID-19 and their lessons can be capitalized as we make efforts for PPPR. The COVID-19 Response Fund, subsequently converted into the African Epidemics Fund (AEF), is another innovative financing mechanism to ensure sustainable and self-reliant PPPR efforts. The global initiatives for financing PPPR include the Pandemic Emergency Financing Facility (PEF) and the Pandemic Fund. The PEF was criticized for its inadequacy in building resilient health systems, primarily because the fund ignored the prevention and preparedness items. The Pandemic Fund is also being criticized for its suboptimal emphasis on the response aspect of the pandemic and non-inclusive governance structure. CONCLUSIONS: To ensure optimal financing for PPPR, we call upon the global health community and decision-makers to focus on the harmonization of financing efforts for PPPR, make regional financing mechanisms central to global PPPR financing efforts, and ensure the inclusivity of international finance governance systems.

Can performance-based financing improve efficiency of health centers in Ethiopia? A Malmquist Productivity Index analysis.

INTRODUCTION: The Ethiopian government has introduced several healthcare financing reforms intending to improve efficiency. Piloting implementation of performance-based financing is one of these actions. The purpose of this research is to assess the efficiency of healthcare facilities that have implemented performance-based financing compared to those that have not. METHODS: Efficiency was measured using a nonparametric data envelopment analysis and the Malmquist Productivity Index technique. Total factor productivity change, technical change, and technological change are compared across eight sampled healthcare facilities that are implementing performance-based financing and eight that are not in Ethiopia. RESULTS: Health facilities implementing performance-based financing have a mean technical efficiency score of 64%, allowing for a potential 36% reduction in inputs without affecting outputs. Their scale efficiency is 88%, indicating a potential 12% increase in total outputs without expanding facilities. In contrast, facilities not implementing performance-based financing have a mean technical efficiency score of 62%, with a potential for 38% input reduction without affecting outputs. Their scale efficiency is 87%, suggesting a potential 13% increase in total outputs without scaling up facilities. Among the 16 healthcare facilities observed, seven experienced a decline in the mean total productivity, while one remained stagnant. The remaining eight facilities witnessed an increase in productivity. The healthcare facilities implementing performance-based financing showed a 1.3% decrease in mean total productivity during the observed period. Among them, five showed an increase and three showed a decrease in the total factor of productivity. The mean total factor of productivity of all healthcare facilities not implementing performance-based financing remained stagnant over the three-year period (2019-2021), with four showing an increase and four showing a decrease in total productivity. CONCLUSIONS: The study concludes that implementing performance-based financing did not improve productivity levels among healthcare facilities over three years. In fact, productivity decreased among the facilities implementing performance-based financing, while those not implementing it remained stagnant. This shows health facilities that implement performance-based financing tend to utilize more resources for similar outputs, contradicting the anticipated efficiency improvement.

Assessment of the COVID-19 impact on the Brazilian Unified Health System (SUS) financing: an analysis of the financing dynamics of 2020 and 2021.

BACKGROUND: After the establishment of the public health emergency of international concern in 2020, health systems worldwide and in Brazil observed the need to apply more extraordinary logistical efforts and possibly resources to combat the imminent pandemic. METHODS: Using the historical series of public expenditures of the National Health Fund (FNS), 2015 to 2021, the number of confirmed cases of COVID-19, and a seasonal ARIMAX model, we sought to assess how the increase in the new virus infections affected the systematic financing of the SUS in Brazil. RESULTS: There were signs of seasonality and an increasing trend in the expenditure variable, which in practical terms, only indicated that the resource contributions followed an increasing trajectory already underway before the advent of the pandemic. The 1% increase in COVID-19 cases, with a one-month lag, contributes to the 0.062% increase in the variation in FNS expenditures but a decrease of 0.058% with a two-month lag. CONCLUSION: The tests showed no evidence to confirm a positive shift on FNS spending growth trajectory due to the increase of COVID-19 cases, only observing a significant increase one month after the occurrence of COVID cases, probably due to their worsening after this period, which was followed by a similar and comparable decrease in percentage of growth in the following month.

Health system description and assessment: a scoping review of templates for systematic analyses.

BACKGROUND: Understanding and comparing health systems is key for cross-country learning and health system strengthening. Templates help to develop standardised and coherent descriptions and assessments of health systems, which then allow meaningful analyses and comparisons. Our scoping review aims to provide an overview of existing templates, their content and the way data is presented. MAIN BODY: Based on the WHO building blocks framework, we defined templates as having (1) an overall framework, (2) a list of indicators or topics, and (3) instructions for authors, while covering (4) the design of the health system, (5) an assessment of health system performance, and (6) should cover the entire health system. We conducted a scoping review of grey literature published between 2000 and 2023 to identify templates. The content of the identified templates was screened, analyzed and compared. We found 12 documents that met our inclusion criteria. The building block `health financing´ is covered in all 12 templates; and many templates cover ´service delivery´ and ´health workforce'. Health system performance is frequently assessed with regard to 'access and coverage', 'quality and safety', and 'financial protection'. Most templates do not cover 'responsiveness' and 'efficiency'. Seven templates combine quantitative and qualitative data, three are mostly quantitative, and two are primarily qualitative. Templates cover data and information that is mostly relevant for specific groups of countries, e.g. a particular geographical region, or for high or for low and middle-income countries (LMICs). Templates for LMICs rely more on survey-based indicators than administrative data. CONCLUSIONS: This is the first scoping review of templates for standardized descriptions of health systems and assessments of their performance. The implications are that (1) templates can help analyze health systems across countries while accounting for context; (2) template-guided analyses of health systems could underpin national health policies, strategies, and plans; (3) organizations developing templates could learn from approaches of other templates; and (4) more research is needed on how to improve templates to better achieve their goals. Our findings provide an overview and help identify the most important aspects and topics to look at when comparing and analyzing health systems, and how data are commonly presented. The templates were created by organizations with different agendas and target audiences, and with different end products in mind. Comprehensive health systems analyses and comparisons require production of quantitative indicators and complementing them with qualitative information to build a holistic picture. CLINICAL TRIAL REGISTRATION:   Not applicable.

Bridging the gap: financing health promotion and disease prevention in Indonesia.

BACKGROUND: Spending on preventive care in low- and middle-income countries (LMICs), including Indonesia, is much lower than spending on curative care. There has been a pressing need to develop a clear pathway to increase spending on preventive care. This study aimed to assess the current financing landscape for health promotion and disease prevention in Indonesia and, subsequently, to develop a framework and recommendations for future health promotion financing in the country. METHODS: We adopted a mixed-method approach to gather information from all relevant stakeholders from December 2022 to June 2023. For the qualitative approach, we conducted (a) in-depth interviews (IDIs) and (b) focus group discussions (FGDs) with government officials at national and district levels, academics, professional organizations, healthcare workers in primary healthcare centres (PHCs), community health volunteers, non governmental organizations and private companies. For the quantitative approach, we applied a national online survey to healthcare workers involved in health promotion in PHCs. IDIs and FGDs were conducted with purposefully selected resource persons at the national level, five selected districts across Indonesia, and within 15 primary health offices and their communities. All qualitative data were recorded, transcribed, coded, interpreted, and then triangulated with national survey findings to develop the financing framework. RESULTS: We identified gaps between the theory and practice of health promotion and disease prevention. These included the limited scope of health promotion initiatives, lack of direction and coordination between ministries, agencies and government levels, limited availability and capacity of health promoters, various yet uncoordinated funding resources and inflexibility in using the funds. To bridge the gap, the framework we developed suggests strengthening the legal and regulatory basis, strategically prioritizing financing arrangements, promoting evidence-based health promotion activities, developing the capacity of health promoters, enhancing the health financing information system and improving monitoring and evaluation. CONCLUSIONS: Identified gaps and challenges in health promotion and disease prevention initiatives inform the development of our framework for future health promotion financing. This framework assists the national government in organizing national health promotion financing strategies and potentially serves as a valuable model for other LMICs.

Classification and focus comparison of health financing frameworks: A scoping review.

OBJECTIVE: The purpose of this study is to review the current frameworks for understanding and assessing health financing and draw out the dimensions of conceptual frameworks. METHODS: This scoping review was conducted using the five stages of Arksey and O'Malley's framework. We reviewed all published peer-reviewed literature indexed in PubMed, SCOPUS, and Embase from 2000 up to 2021 for inclusion. RESULTS: We identified 21 frameworks developed to assess financing in the health system. We classified frameworks by grouping them into: frameworks focusing on health financing as a constituent of health system and frameworks focusing on health financing only. We classified health financing frameworks further into three main groups according to the general commonalities among them. These three groups are as follows: (1) frameworks providing general recommendations for improving health financing system regardless of sources of financing, (2) frameworks focusing on improving the performance of health insurance schemes, and (3) frameworks focusing on managing public health financing. CONCLUSION: Despite being diverse, various health financing frameworks offer synergistic views to the health financing system and provide a comprehensive picture of the health financing system. These frameworks can help policy makers decide which framework is more appropriate to start with based on their local contextual features and the changes they are going to bring about in their health financing system.

[Main characteristics and historical evolution of China' s health financing transition].

OBJECTIVE: To comprehend the main characteristics and historical evolution of health financing transition in China. METHODS: Data were collected from various sources, including the Global Health Expenditure Database (GHED), China Health Statistics Yearbook, National Health Finance Annual Report, China ' s Total Health Expenditure Research Report, et al. Descriptive statistics and literature study was conducted. RESULTS: Since the beginning of the 21st century, most countries in the world had witnessed a transition of health financing, characterized by the expansion of health financing scale and the strengthening of public financing responsibility. Notably, China ' s health financing transition exhibited distinctive features. Firstly, there had been a more rapid expansion in health financing scale compared with global averages. Between 2000 and 2019, total health expenditure per capita experienced a remarkable increase of 816.6% at comparable prices, significantly surpassing average growth rates observed among other countries worldwide (102.1%). Secondly, greater efforts had been made to strengthen the responsibilities of public financing. From 2000 to 2019, there was a substantial decrease of 30.6 percentage points in the proportion of out-of-pocket health expenditure as a share of total health expenditure. This decline was significantly larger than the average reduction observed among other countries worldwide (5.6 percentage points). Thirdly, there had been a significant shift in government health expenditure allocation patterns, with an increased emphasis on "demand-side subsidies" surpassing "supply-side subsidies". Within the realm of "supply-side subsidies", funding directed towards hospitals had notably increased and surpassed that allocated to primary healthcare institutions and public health institutions. Based on these distinctive characteristics, this paper expanded China ' s health financing transition into three dimensions: Scale dimension, structure dimension and flow dimension. Using a comprehensive analytical framework, the history of China ' s health financing transition was roughly divided into four stages: The planned economy stage, the economic transition stage, the post-SARS stage and the new health system reform stage. The main features and evolutionary logic associated with each stage were analyzed. CONCLUSION: Above all, the health financing system should be enhanced in terms of vertical "embeddedness" and horizontal "complementarity". Moreover, the significance of health financing transition in preserving hidden value and mitigating public risk should be emphasized, and there is a need for an improved two-way trade-off mechanism that balances value and risk. Additionally, the ethical principles associated with health financing transition should be considered comprehensively, while optimizing budget decision-making within the government ' s actual governance model. Lastly, it is crucial to recognize the overall and profound impact of modern medicine development and explore long-term strategies and pathways for health financing transition in China.

Hospitals That Serve Many Black Patients Have Lower Revenues and Profits: Structural Racism in Hospital Financing.

BACKGROUND: Care for Black patients is concentrated at a relatively small proportion of all US hospitals. Some previous studies have documented quality deficits at Black-serving hospitals, which may be due to inequities in financial resources for care. OBJECTIVE: To assess disparities in funding between hospitals associated with the proportion of Black patients that they serve. PARTICIPANTS: All Medicare-participating hospitals, 2016-2018. MAIN MEASURES: Patient care revenues and profits per patient day at Black-serving hospitals (the top 10% of hospitals ranked by the share of Black patients among all Medicare inpatients) and at other hospitals, unadjusted and adjusted for differences in case mix and hospital characteristics. KEY RESULTS: Among the 574 Black-serving hospitals, an average of 43.7% of Medicare inpatients were Black, vs. 5.2% at the 5,166 other hospitals. Black-serving hospitals were slightly larger, and were more often urban, teaching, and for-profit or government (vs. non-profit) owned. Patient care revenues and profits averaged $1,736 and $-17 per patient day respectively at Black-serving hospitals vs. $2,213 and $126 per patient day at other hospitals (p<.001 for both comparisons). Adjusted for patient case mix and hospital characteristics, mean revenues were $283 lower/patient day (p<.001) and mean profits were $111/patient day lower (p<.001) at Black-serving hospitals. Equalizing reimbursement levels would have required $14 billion in additional payments to Black-serving hospitals in 2018, a mean of approximately $26 million per Black-serving hospital. CONCLUSIONS: US hospital financing effectively assigns a lower dollar value to the care of Black patients. To reduce disparities in care, health financing reforms should eliminate the underpayment of hospitals serving a large share of Black patients.

To what extent has the Iranian Health Transformation Plan addressed inequality in healthcare financing in Iran?

BACKGROUND: One of the major goals of health systems is providing a financing strategy without inequality; this has a significant impact on people's access to healthcare. The present study aimed to investigate the inequality in households' financial contribution (HFC) to health expenditure both before and after the implementation of the Iranian Health Transformation Plan (HTP) in 2014. METHODS: This study is a secondary analysis of two waves of a national survey conducted in Iran. The data were collected from the Households Income and Expenditure Survey in 2013 and 2015. The research sample included 76,195 Iranian households. The inequality in households' financial contributions to the health system was assessed using the Gini coefficient, and the concentration index (CI). In addition, by using econometric modeling, the relationship between the implementation of the HTP and inequality in HFC was studied. The households' financial contribution included healthcare and health insurance prepayments. RESULTS: The Gini coefficient values were 0.67 and 0.65 in 2013 and 2015, respectively, indicating a medium degree of inequality in HFC in both years. The CI values were 0.54 and 0.56 in 2013 and 2015, respectively, suggesting that inequalities in HFC were in favor of higher income quintiles in the years before and after the implementation of the HTP. Regression analysis showed that households with a female head, with an unemployed head, or with a head having income without a job were contributing more to financing health expenditure. The presence of a household member over the age of 65 was associated with a higher level of HFC. The implementation of the HTP had a negative relationship with the HFC. CONCLUSION: The HTP, aiming to address inequality in the financing system, did not achieve the intended goal as expected. The implementation of the HTP neglected certain factors at the household level, such as the presence of family members older than the age of 65, a female household head, and unemployment. This resulted in a failure to reduce the inequality of the HFC. We suggest that, in the future, policymakers take into account factors at the household level to reduce inequality in the HFC.

Equity in the public social healthcare protection in Tanzania: does it matter on household healthcare financing?

Efforts to promote equity in healthcare involve implementing policies and programs that address the root causes of healthcare disparities and promote equal access to care. One such program is the public social healthcare protection schemes. However, like many other developing countries, Tanzania has low health insurance coverage, hindering its efforts to achieve universal health coverage. This study examines the role of equity in public social healthcare protection and its effects on household healthcare financing in Tanzania. The study used secondary data collected from the National Bureau of Statistics' National Panel Survey 2020/21 and stratified households based on their place of residence (rural vs. urban). Moreover, the logit regression model, ordered logit, and the endogenous switching regression model were used to provide counterfactual estimates without selection bias and endogeneity problems. The results showed greater variations in social health protection across rural and urban households, increasing disparities in health outcomes between these areas. Rural residents are the most vulnerable groups. Furthermore, education, income, and direct healthcare costs significantly influence equity in healthcare financing and the ability of households to benefit from public social healthcare protection schemes. To achieve equity in healthcare in rural and urban areas, developing countries need to increase investment in health sector by reducing the cost of healthcare, which will significantly reduce household healthcare financing. Furthermore, the study recommends that social health protection is an essential strategy for improving fair access to quality healthcare by removing differences across households and promoting equality in utilizing healthcare services.

The effect of health financing systems on health system outcomes: A cross-country panel analysis.

Several low- and middle-income countries are considering health financing system reforms to accelerate progress toward universal health coverage (UHC). However, empirical evidence of the effect of health financing systems on health system outcomes is scarce, partly because it is difficult to quantitatively capture the 'health financing system'. We assign country-year observations to one of three health financing systems (i.e., predominantly out-of-pocket, social health insurance (SHI) or government-financed), using clustering based on out-of-pocket, contributory SHI and non-contributory government expenditure, as a percentage of total health expenditures. We then estimate the effect of these different systems on health system outcomes, using fixed effects regressions. We find that transitions from OOP-dominant to government-financed systems improved most outcomes more than did transitions to SHI systems. Transitions to government financing increases life expectancy (+1.3 years, p < 0.05) and reduces under-5 mortality (-8.7%, p < 0.05) and catastrophic health expenditure incidence (-3.3 percentage points, p < 0.05). Results are robust to several sensitivity tests. It is more likely that increases in non-contributory government financing rather than SHI financing improve health system outcomes. Notable reasons include SHI's higher implementation costs and more limited coverage. These results may raise a warning for policymakers considering SHI reforms to reach UHC.

The ethics of crowdfunding in paediatric neurology.

In the last decade, there has been a dramatic increase in the number of families resorting to internet-based public appeals to fund access to novel, highly expensive, or experimental therapies for rare disorders. Medical crowdfunding may provide a means to fund treatments or interventions, but it raises individual and societal ethical questions. In this review, we consider the ethical challenges crowdfunding poses in paediatric neurology, drawing on the example of gene therapy for spinal muscular atrophy. We discuss physician responsibilities, and how neurologists should respond to crowdfunding that they encounter in clinical practice. We also briefly consider actions that can be taken by clinicians, charities, and crowdfunding websites to reduce harms. The best way to mitigate these harms may be to target the high costs and restrictive criteria that limit access to many novel treatments, and to optimize treatment utility, for instance by newborn screening. WHAT THIS PAPER ADDS: Crowdfunding is a social phenomenon arising from families' inability to access desired treatment. Treatments sought by crowdfunding range from those that are clearly beneficial (but unaffordable) to those that would be ineffective and potentially harmful. Crowdfunding carries a range of harms and risks to families and children and has wider social impact.

Challenges in international health financing and implications for the new pandemic fund.

BACKGROUND: The failures of the international COVID-19 response highlighted key gaps in pandemic preparedness and response (PPR). The G20 and WHO have called for additional funding of $10.5 billion per year to adequately strengthen the global PPR architecture. In response to these calls, in 2022 the World Bank announced the launch of a new Financial Intermediary Fund (The Pandemic Fund) to catalyse this additional funding. However, there is considerable unclarity regarding the governance makeup and financial modalities of the Pandemic Fund, and divergence of opinion about whether the Fund has been successfully designed to respond to key challenges in global health financing. METHODS/RESULTS: The article outlines eight challenges associated with global health financing instruments and development aid for health within the global health literature. These include misaligned aid allocation; accountability; multistakeholder representation and participation; country ownership; donor coherency and fragmentation; transparency; power dynamics, and; anti-corruption. Using available information about the Pandemic Fund, the article positions the Pandemic Fund against these challenges to determine in what ways the financing instrument recognizes, addresses, partially addresses, or ignores them. The assessment argues that although the Pandemic Fund has adopted a few measures to recognise and address some of the challenges, overall, the Pandemic Fund has unclear policies in response to most of the challenges while leaving many unaddressed. CONCLUSION: It remains unclear how the Pandemic Fund is explicitly addressing challenges widely recognized in the global health financing literature. Moreover, there is evidence that the Pandemic Fund might be exacerbating these global financing challenges, thus raising questions about its potential efficacy, suitability, and chances of success. In response, this article offers four sets of policy recommendations for how the Pandemic Fund and the PPR financing architecture might respond more effectively to the identified challenges.

Comparative effectiveness of financing models in development assistance for health and the role of results-based funding approaches: a scoping review.

Over the past three decades, there has been an unprecedented growth in development assistance for health through different financing models, ranging from donations to results-based approaches, to improve health in low- and middle-income countries. Since then, the global burden of disease has started to shift. However, it is still not entirely clear what the comparative effect of the different financing models is. To assess the effect of these financing models on various healthcare targets, we systematically reviewed the peer-reviewed and gray literature. We identified 19 studies and found that results-based financing approaches have an overall positive impact on institutional delivery rates and numbers of healthcare facility visits, though this impact varies greatly by context.Donors might be better served by providing a results-based financing scheme combining demand and supply side health-related schemes. It is essential to include rigorous monitoring and evaluation strategies when designing financing models.

Financing of health services for undocumented immigrants in Iran: common challenges and potential solutions.

INTRODUCTION: Iran is host to one of the largest urban refugee populations worldwide, about two million of whom are undocumented immigrants (UIs). UIs are not eligible to enroll in the Iranian health insurance scheme and have to pay out-of-pocket to access most health services. This increases the likelihood that they will delay or defer seeking care, or incur substantial costs if they do seek care, resulting in worse health outcomes. This study aims to improve understanding of the financial barriers that UIs face in utilizing health services and provide policy options to ensure financial protection to enhance progress towards UHC in Iran. METHODS: This qualitative study was conducted in 2022. A triangulation approach, including interviews with key informants and comparing them with other informative sources to find out the complementary findings, was applied to increase data confirmability. Both purposive and snowball sampling approaches were used to select seventeen participants. The data analysis process was done based on the thematic content analysis approach. RESULTS: The findings were explained under two main themes: the financial challenges in accessing health services and the policy solutions to remove these financial barriers, with 12 subthemes. High out-of-pocket payments, high service prices for UIs, fragmented financial support, limited funding capacity, not freeing all PHC services, fear of deportation, and delayed referral are some of the barriers that UIs face in accessing health care. UIs can get insurance coverage by using innovative ways to get money, like peer financing and regional health insurance, and by using tools that make it easier, like monthly premiums without policies that cover the whole family. CONCLUSION: The formation of a health insurance program for UIs in the current Iranian health insurance mechanism can significantly reduce management costs and, at the same time, facilitate risk pooling. Strengthening the governance of health care financing for UIs in the form of network governance may accelerate the inclusion of UIs in the UHC agenda in Iran. Specifically, it is necessary to enhance the role of developed and rich regional and international countries in financing health services for UIs.