Differential effect of China's Zero Markup Drug Policy on provider-induced demand in secondary and tertiary hospitals.

Following the marketization of China's health system in the 1980's, the government allowed public hospitals to markup the price of certain medications by 15% to compensate for reduced revenue from government subsidies. This incentivized clinicians to induce patient demand for drugs which resulted in higher patient out-of-pocket payments, higher overall medical expenditure, and poor health outcomes. In 2009, China introduced the Zero Markup Drug Policy (ZMDP) which eliminated the 15% markup. Using Shanghai as a case study, this paper analyzes emerging and existing evidence about the impact of ZMDP on hospital expenditure and revenue across secondary and tertiary public hospitals. We use data from 150 public hospitals across Shanghai to examine changes in hospital expenditure and revenue for various health services following the implementation of ZMDP. Our analysis suggests that, across both secondary and tertiary hospitals, the implementation of ZMDP reduced expenditure on drugs but increased expenditure on medical services, exams, and tests thereby increasing hospital revenue and keeping inpatient and outpatient costs unchanged. Moreover, our analysis suggests that tertiary facilities increased their revenue at a faster rate than secondary facilities, likely due to their ability to prescribe more advanced and, therefore, more costly procedures. While rigorous experimental designs are needed to confirm these findings, it appears that ZMDP has not reduced instances of medical expenditure provoked by provider-induced demand (PID) but rather shifted the effect of PID from one revenue source to another with differential effects in secondary vs. tertiary hospitals. Supplemental policies are likely needed to address PID and reduce patient costs.

Cost-effectiveness and budget impact analysis of screening and preventive interventions for cardiovascular disease in Myanmar: an economic modelling study.

Background: Cardiovascular diseases (CVD) remains a leading cause of mortality in Myanmar. Despite the burden, CVD preventive services receive low government and donor budgets, which has led to poor CVD outcomes. Methods: We conducted a cost-effective analysis and a budget impact analysis on CVD prevention strategies recommended by the WHO. A Markov model was used to analyse the cost and quality-adjusted life year (QALY) from healthcare provider and societal perspectives. We calculated transition probabilities from WHO CVD risk data and obtained treatment effects and costs from secondary sources. Subgroup analysis was performed on different sex and age groups. We framed the budget impact analysis from a healthcare provider perspective to assess the affordability of providing CVD preventive care. Findings: The most cost-effective strategy from the healthcare provider perspective varied. The combination of screening, primary prevention, and secondary prevention (Sc-PP-SP) (incremental cost-effectiveness ratio [ICER]: US$1574/QALY) is most cost-effective at the three times gross domestic product (GDP) per capita threshold, while at one time the GDP per capita threshold, secondary prevention is the most cost-effective strategy (ICER: US$160/QALY). Sc-PP-SP is the most cost-effective strategy from the societal perspective (ICER: US$647/QALY). Among age groups, intervention at age 45 years appeared to be the most cost-effective option for both men and women. The budget impact revealed the Sc-PP-SP would avert 55,000 acute CVD events and 28,000 CVD-related deaths with a cost of US$157 million for the first year of CVD preventive care. Interpretation: A combination of screening, primary prevention, and secondary prevention is cost-effective to reduce CVD-related deaths in Myanmar. This study provides evidence for the government and development partners to increase investment in and support for CVD prevention. These findings not only provide a basis for efficient resource allocation but also underscore the importance of adopting a total cardiovascular risk approach to CVD prevention, in alignment with global health goals. Funding: Pilot grant from Duke Global Health Institute, USA.

Modeling the global impact of reducing out-of-pocket costs for children's surgical care.

Over 1.7 billion children lack access to surgical care, mostly in low- and middle-income countries (LMICs), with substantial risks of catastrophic health expenditures (CHE) and impoverishment. Increasing interest in reducing out-of-pocket (OOP) expenditures as a tool to reduce the rate of poverty is growing. However, the impact of reducing OOP expenditures on CHE remains poorly understood. The purpose of this study was to estimate the global impact of reducing OOP expenditures for pediatric surgical care on the risk of CHE within and between countries. Our goal was to estimate the impact of reducing OOP expenditures for surgical care in children for 149 countries by modeling the risk of CHE under various scale-up scenarios using publicly available World Bank data. Scenarios included reducing OOP expenditures from baseline levels to paying 70%, 50%, 30%, and 10% of OOP expenditures. We also compared the impact of these reductions across income quintiles (poorest, poor, middle, rich, richest) and differences by country income level (low-income, lower-middle-income, upper-middle-income, and high-income countries).Reducing OOP expenditures benefited people from all countries and income quintiles, although the benefits were not equal. The risk of CHE due to a surgical procedure for children was highest in low-income countries. An unexpected observation was that upper-middle income countries were at higher risk for CHE than LMICs. The most vulnerable regions were Africa and Latin America. Across all countries, the poorest quintile had the greatest risk for CHE. Increasing interest in financial protection programs to reduce OOP expenditures is growing in many areas of global health. Reducing OOP expenditures benefited people from all countries and income quintiles, although the benefits were not equal across countries, wealth groups, or even by wealth groups within countries. Understanding these complexities is critical to develop appropriate policies to minimize the risks of poverty.

Are households with under-five children in Nigeria socioeconomically disadvantaged?

Although the sociodemographic and economic contributors to under-five mortality are well established, very little research has been done to assess the levels of disadvantage under-five children in Nigeria face along these dimensions. Nigeria has the second-highest under-five mortality rate (U5MR) in the world (111 deaths per 1000 live births) and contributed to the highest number of annual under-five deaths globally in 2020 (844,321 deaths). The country has also implemented several decades of policy interventions to reduce under-five mortality by improving sociodemographic and economic conditions at the household level. In this paper, we assess the sociodemographic and economic disadvantages that households with children under-five face compared to other households and discuss the implications for health policy. Using the Nigeria Living Standard Survey 2018-19, we conducted a bivariate analysis to compare the sociodemographic and economic characteristics of households with and without under-five children. We performed independent samples t-test and proportions test to assess whether these sociodemographic and economic factors were significantly different for both groups. We found that households with under-five children typically had larger sizes (6.6 vs. 3.6), lower mean adult age (36.5 vs. 45.3), and male household heads (91.3% vs. 71.5%) than households without under-five children. Furthermore, households with under-five children were less likely to have access to improved drinking water (77.2% vs. 86.0%) and sanitation sources (54.0% vs. 61.9%) than those without under-five children. Despite having more adult working members, 71.2% of households with under-five children lived below the poverty line compared to 37.7% of other households. Although their total consumption expenditure was lower than households without under-five children, they spent a higher proportion of their expenditure on health care and were at a higher risk of experiencing catastrophic health expenditure. Our study has shown that households with children under five are disproportionately disadvantaged than other households in Nigeria. The households with under-five children are larger, younger, and poorer than those without children. We also show a wide variation in the proportion of households with children under five by state. Any efforts to reduce under-five mortality and morbidity in Nigeria should recognize these sociodemographic and economic differences.

Health reform in Nigeria: the politics of primary health care and universal health coverage.

Over the past decade, Nigeria has seen major attempts to strengthen primary health care, through the Saving One Million Lives (SOML) initiative, and to move towards universal health care, through the National Health Act. Both initiatives were successfully adopted, but faced political and institutional challenges in implementation and sustainability. We analyse these programmes from a political economy perspective, examining barriers to and facilitators of adoption and implementation throughout the policy cycle, and drawing on political settlement analysis (PSA) to identify structural challenges which both programmes faced. The SOML began in 2012 and was expanded in 2015. However, the programme's champion left government in 2013, a key funding source was eliminated in 2015, and the programme did not continue after external funding elapsed in 2021. The National Health Act passed in 2014 after over a decade of advocacy by proponents. However, the Act's governance reforms led to conflict between health sector agencies, about both reform content and process. Nine years after the Act's passage, disbursements have been sporadic, and implementation remains incomplete. Both programmes show the promise of major health reforms in Nigeria, but also the political and institutional challenges they face. In both cases, health leaders crafted evidence-based policies and managed stakeholders to achieve policy adoption. Yet political and institutional challenges hindered implementation. Institutionally, horizontal and vertical fragmentation of authority within the sector impeded coordination. Politically, electoral cycles led to frequent turnover of sectoral leadership, while senior politicians did not intervene to support fundamental institutional reforms. Using PSA, we identify these as features of a 'competitive clientelist' political settlement, in which attempts to shift from clientelist to programmatic policies generate powerful opposition. Nonetheless, we highlight that some policymakers sought to use health reforms to change institutions at the margin, suggesting future avenues for governance-oriented health reforms.

Scaling up antivenom for snakebite envenoming in the Brazilian Amazon: a cost-effectiveness analysis.

Background: Snakebite envenoming (SBE) affects nearly three million people yearly, causing up to 180,000 deaths and 400,000 cases of permanent disability. Brazil's state of Amazonas is a global hotspot for SBE, with one of the highest annual incidence rates per 100,000 people, worldwide. Despite this burden, snake antivenom remains inaccessible to a large proportion of SBE victims in Amazonas. This study estimates the costs, and health and economic benefits of scaling up antivenom to community health centers (CHCs) and hospitals in the state. Methods: We built a decision tree model to simulate three different antivenom scale-up scenarios: (1) scale up to 95% of hospitals, (2) scale up to 95% of CHCs, and (3) scale up to 95% of hospitals and 95% of CHCs. We consider each scenario with and without a 10% increase in demand for antivenom among SBE victims. For each scenario, we model the treatment costs averted, deaths averted, and disability-adjusted life years (DALYs) averted from a societal, health system, and patient perspective relative to the status quo and over a time horizon of one year. For each scenario and perspective, we also calculate the incremental cost per DALY averted and per death averted. We use a willingness to pay threshold equal to the 2022 gross domestic product (GDP) per capita of Brazil. Findings: Scaling up antivenom to 95% of hospitals averts up to 2022 DALYs, costs up to USD $460 per DALY averted from a health system perspective, but results in net economic benefits up to USD $4.42 million from a societal perspective. Scaling up antivenom to 95% of CHCs averts up to 3179 DALYs, costs up to USD $308 per DALY averted from a health system perspective, but results in net economic benefits up to USD $7.35 million from a societal perspective. Scaling up antivenom to 95% of hospitals and CHCs averts up to 3922 DALYs, costs up to USD $328 per DALY averted from a health system perspective, but results in net economic benefits up to USD $8.98 million from a societal perspective. Interpretation: All three antivenom scale up scenarios - scale up to 95% of hospitals, scale up to 95% of CHCs, and scale up to 95% of hospitals and 95% of CHCs - avert a substantial proportion of the SBE burden in Amazonas and are cost-saving from a societal perspective and cost-effective from a health system perspective. Funding: W.M. and J.S. were funded by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq productivity scholarships). W.M. was funded by Fundação de Amparo à Pesquisa do Estado do Amazonas (PRÓ-ESTADO, call n. 011/2021-PCGP/FAPEAM, call n. 010/2021-CT&I ÁREAS PRIORITÁRIAS, call n. 003/2022-PRODOC/FAPEAM, POSGRAD/FAPEAM) and by the Ministry of Health, Brazil (Proposal No. 733781/19-035). Research reported in this publication was supported by the Fogarty International Center of the National Institutes of Health under Award Number R21TW011944. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Rapid growth of private hospitals in China: emerging challenges and opportunities to health sector management.

China's private hospital market has experienced rapid growth over the last decade, with private hospitals now outnumbering public hospitals by a factor of two. This policy analysis uses available data and existing literature to analyze China's rapidly changing hospital market, identify key challenges resulting from rapid private hospital growth, and present recommendations to ensure future sustainable private hospital development in the country. Our analysis shows that while private hospitals outnumber public hospitals, outpatient visits and hospitalizations remain higher among public hospitals, while per-patient expenditure remains higher among private hospitals. Key challenges to private hospital development include limited government financial support, high tax burdens, difficulty in workforce recruitment and retainment, poor government regulation and oversight, and dissipating public trust. Recommendations to address these challenges include opening government contract bidding to private hospitals, creating a system that allows private hospitals to enter national health insurance schemes, reducing tax pressure on private hospitals, defining a legal system for market entry and exit of private hospitals, improving a system of supervision, and monitoring and evaluation of private hospital operation and performance.

Strategic donor behaviour and country vulnerability in health aid transitions.

BACKGROUND: When countries reach the middle-income threshold, many multilateral donors, including Gavi, the Vaccine Alliance (Gavi), begin to withdraw their official development assistance (ODA), known as graduation. We hypothesised that bilateral donors might follow Gavi's lead, except in countries where they have strategic interests. We aim to understand how bilateral donors behave after a recipient country graduates from Gavi support and how bilateral donors might treat Gavi support countries differently, based on 'strategic interest'. We also aim to identify countries that were more vulnerable to 'simultaneous' transitions and financial cliffs after Gavi transition. METHODS: This is an observational dyadic analysis using longitudinal data. We collected country-level data on 77 Gavi-eligible countries between 2009 and 2018 and paired donor and recipient country in a specific year to conduct dyadic analysis. We included Gavi graduation status and Gavi disbursement as explanatory variables. We controlled for (1) donor-recipient relationship variables that represent potential strategic relationships (eg, distance between donor and recipient country) and (2) recipient-level characteristics (eg, population, income). We used Odinary Least Squares regression, Tobit and two-part model in Stata SE 15.0. FINDINGS: We found a country would receive $3.1 million less all sector ODA from a bilateral donor, and $0.6 million less health ODA, after they graduate from Gavi. For every additional 1% ODA a country would receive from Gavi, it would receive 0.14% more ODA and 0.16% more health ODA from individual bilateral donors. Gavi's graduation status or disbursement brought more change in percentage term to health ODA than to total ODA. Additionally, Gavi's graduation was observed to have a larger negative impact on bilateral ODA in the longer term. Countries that sent more migrants, had been colonised, and received more US military assistance tended to receive more ODA. There are similarities and differences across different donors and bilateral donors tend to provide more ODA to nearby countries and countries receiving fewer exports from the donor. We found that former colonies did not see a decline in aid after Gavi graduation. CONCLUSION: Bilateral donors behave in a similar manner to Gavi when it comes to funding health systems in low and middle-income countries. Therefore, some countries may be at risk of losing donor resources for health from a multitude of sources around the same time. However, countries that have a strategic interest in bilateral donors may be spared from such funding cliffs. This research has important implications for global health donors' funding policies and approaches in addition to recipient countries' transition planning.

Rethinking how development assistance for health can catalyse progress on primary health care.

Global campaigns to control HIV, tuberculosis, malaria, and vaccine-preventable illnesses showed that large-scale impact can be achieved by using additional international financing to support selected, evidence-based, high-impact investment areas and to catalyse domestic resource mobilisation. Building on this paradigm, we make the case for targeting additional international funding for selected high-impact investments in primary health care. We have identified and costed a set of concrete, evidence-based investments that donors could support, which would be expected to have major impacts at an affordable cost. These investments are in: (1) individuals and communities empowered to engage in health decision making, (2) a new model of people-centred primary care, and (3) next generation community health workers. These three areas would be supported by strengthening two cross-cutting elements of national systems. The first is the digital tools and data that support facility, district, and national managers to improve processes, quality of care, and accountability across primary health care. The second is the educational, training, and supervisory systems needed to improve the quality of care. We estimate that with an additional international investment of between US$1·87 billion in a low-investment scenario and $3·85 billion in a high-investment scenario annually over the next 3 years, the international community could support the scale-up of this evidence-based package of investments in the 59 low-income and middle-income countries that are eligible for external financing from the World Bank Group's International Development Association.

Converging global health agendas and universal health coverage: financing whole-of-government action through UHC.

UN member states have committed to universal health coverage (UHC) to ensure all individuals and communities receive the health services they need without suffering financial hardship. Although the pursuit of UHC should unify disparate global health challenges, it is too commonly seen as another standalone initiative with a singular focus on the health sector. Despite constituting the cornerstone of the health-related Sustainable Development Goals, UHC-related commitments, actions, and metrics do not engage with the major drivers and determinants of health, such as poverty, gender inequality, discriminatory laws and policies, environment, housing, education, sanitation, and employment. Given that all countries already face multiple competing health priorities, the global UHC agenda should be used to reconcile, rationalise, prioritise, and integrate investments and multisectoral actions that influence health. In this paper, we call for greater coordination and coherence using a UHC+ lens to suggest new approaches to funding that can extend beyond biomedical health services to include the cross-cutting determinants of health. The proposed intersectoral co-financing mechanisms aim to support the advancement of health for all, regardless of countries' income.

United Kingdom aid cuts: implications for financing health systems.

Background: The United Kingdom (UK) used to be the second largest bilateral provider of official development assistance (ODA) for health. However, in 2021 the UK government cut its annual aid budget by 30%. We aim to understand how these cuts might affect financing for health systems in UK aid recipient countries. Methods: We conducted a retrospective analysis of domestic and external funding for 134 countries that received UK aid for the 2019-2020 budget year. We grouped countries into two cohorts: those that continued to receive aid in 2020-2021 ("budget") and those that did not ("no budget"). Data was collected from publicly available datasets and we compared UK's ODA, UK's health ODA with total ODA, general government expenditures and domestic general government health expenditure to assess the donor dependency and donor concentration of budget and no budget countries. Findings: Budget countries are more reliant on external aid to finance their governments and health systems than no budget countries, with a handful of exceptions. While the UK does not appear to be a major ODA contributor among most no budget countries, it is in many budget countries. Two no budget countries in particular may be faced with health systems financing challenges given their high ratios of UK health aid to domestic government health expenditures: the Gambia (1.24:1) and Eritrea (0.33:1). Although "safe" for this budget cycle, a number of low-income countries in Sub-Saharan Africa have very high ratios of UK health aid to domestic government health expenditures, including South Sudan (3.15:1), Sierra Leone (0.48:1), and the Democratic Republic of Congo (0.34:1). Interpretation: The 2021-2022 UK aid cuts could have negative impacts in a few countries highly dependent on UK health aid. Its departure could leave these countries with rather large funding gaps to fill and create a more concentrated donor climate.

Potential Clinical and Economic Outcomes of Over-the-Counter Hearing Aids in the US.

Importance: Over-the-counter (OTC) hearing aids are now available in the US; however, their clinical and economic outcomes are unknown. Objective: To project the clinical and economic outcomes of traditional hearing aid provision compared with OTC hearing aid provision. Design, Setting, and Participants: This cost-effectiveness analysis used a previously validated decision model of hearing loss (HL) to simulate US adults aged 40 years and older across their lifetime in US primary care offices who experienced yearly probabilities of acquiring HL (0.1%-10.4%), worsening of their HL, and traditional hearing aid uptake (0.5%-8.1%/y at a fixed uptake cost of $3690) and utility benefits (0.11 additional utils/y). For OTC hearing aid provision, persons with perceived mild to moderate HL experienced increased OTC hearing aid uptake (1%-16%/y) based on estimates of time to first HL diagnosis. In the base case, OTC hearing aid utility benefits ranged from 0.05 to 0.11 additional utils/y (45%-100% of traditional hearing aids), and costs were $200 to $1400 (5%-38% of traditional hearing aids). Distributions were assigned to parameters to conduct probabilistic uncertainty analysis. Intervention: Provision of OTC hearing aids, at increased uptake rates, across a range of effectiveness and costs. Main Outcomes and Measures: Lifetime undiscounted and discounted (3%/y) costs and quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratios (ICERs). Results: Traditional hearing aid provision resulted in 18.162 QALYs, compared with 18.162 to 18.186 for OTC hearing aids varying with OTC hearing aid utility benefit (45%-100% that of traditional hearing aids). Provision of OTC hearing aids was associated with greater lifetime discounted costs by $70 to $200 along with OTC device cost ($200-$1000/pair; 5%-38% traditional hearing aid cost) due to increased hearing aid uptake. Provision of OTC hearing aids was considered cost-effective (ICER<$100 000/QALY) if the OTC utility benefit was 0.06 or greater (55% of the traditional hearing aid effectiveness). In probabilistic uncertainty analysis, OTC hearing aid provision was cost-effective in 53% of simulations. Conclusions and Relevance: In this cost-effectiveness analysis, provision of OTC hearing aids was associated with greater uptake of hearing intervention and was cost-effective over a range of prices so long as OTC hearing aids were greater than 55% as beneficial to patient quality of life as traditional hearing aids.

Investing in a global pooled-funding mechanism for late-stage clinical trials of poverty-related and neglected diseases: an economic evaluation.

INTRODUCTION: Poverty-related and neglected diseases (PRNDs) cause over three million deaths annually. Despite this burden, there is a large gap between actual funding for PRND research and development (R&D) and the funding needed to launch PRND products from the R&D pipeline. This study provides an economic evaluation of a theoretical global pooled-funding mechanism to finance late-stage clinical trials of PRND products. METHODS: We modelled three pooled-funding design options, each based on a different level of coverage of candidate products for WHO's list of PRNDs: (1) vaccines covering 4 PRNDs, (2) vaccines and therapeutics covering 9 PRNDs and (3) vaccines, therapeutics and diagnostics covering 30 PRNDs. For each option, we constructed a discrete event simulation of the 2019 PRND R&D pipeline to estimate required funding for phase III trials and expected product launches through 2035. For each launch, we estimated global PRND treatment costs averted, deaths averted and disability-adjusted life-years (DALYs) averted. For each design option, we calculated the cost per death averted, cost per DALY averted, the benefit-cost ratio (BCR) and the incremental cost-effectiveness ratio (ICER). RESULTS: Option 1 averts 18.4 million deaths and 516 million DALYs, has a cost per DALY averted of US$84 and yields a BCR of 5.53. Option 2 averts 22.9 million deaths and 674 million DALYs, has a cost per DALY averted of US$75, an ICER over option 1 of US$49 and yields a BCR of 3.88. Option 3 averts 26.9 million deaths and 1 billion DALYs, has a cost per DALY averted of US$114, an ICER over option 2 of US$186 and yields a BCR of 2.52. CONCLUSIONS: All 3 options for a pooled-funding mechanism-vaccines for 4 PRNDs, vaccines and therapeutics for 9 PRNDs, and vaccines, therapeutics and diagnostics for 30 PRNDs-would generate a large return on investment, avert a substantial proportion of the global burden of morbidity and mortality for diseases of poverty and be cost-effective.

Effects of public financing of essential maternal and child health interventions across wealth quintiles in Nigeria: an extended cost-effectiveness analysis.

BACKGROUND: Maternal and newborn mortality rates in Nigeria are among the highest globally, and large socioeconomic inequalities exist in access to maternal, newborn, and child health (MNCH) services in the country. Inequalities also exist in catastrophic health expenditure among households in Nigeria. We aimed to estimate the health and financial risk protection benefits across different wealth groups in Nigeria if a policy of public financing of MNCH interventions were to be introduced. METHODS: We did an extended cost-effectiveness analysis to estimate the health and financial risk protection benefits, across different household wealth quintiles, of a public-financing policy that assumes zero out-of-pocket costs to patients at the point of care for 18 essential MNCH services. We projected health outcomes (deaths in children aged <5 years [under-5 deaths] and maternal deaths) and private expenditure averted using the Lives Saved Tool with data extracted from national surveys. We modelled three scenarios: 1) coverage expansion at a rate equal to the trend observed between 2013 and 2018 (status quo); 2) annual coverage expansion by 5% compared with the status quo (uniform scale-up scenario); and 3) annual coverage expansion by 10%, 8%, 6%, 4%, and 2% compared with the status quo from the poorest to the wealthiest quintiles, respectively (pro-poor scale-up scenario). FINDINGS: Our analysis shows that, if an additional 5% increase in coverage was provided for all wealth quintiles between 2019 and 2030, this uniform scale-up policy would prevent more than 0·11 million maternal deaths and 1·05 million under-5 deaths, avert US$1·8 billion in private expenditure, and avert 3266 cases of catastrophic health expenditure. The incremental cost effectiveness ratio would be $44 per life-year gained, which is highly cost-effective when compared with the gross domestic product per capita of Nigeria for 2018 ($2028). The policy would prevent a higher number of under-5 deaths and catastrophic health expenditure cases in poorer quintiles, but would prevent more maternal deaths and private expenditure in wealthier quintiles. If poorer populations experienced a greater increase in service coverage (ie, the pro-poor scale-up scenario), more maternal and under-5 deaths would be prevented in the poorer quintiles and more private expenditure would be averted than would be under previous scenarios. INTERPRETATION: Public financing of essential MNCH interventions in Nigeria would provide substantial health and financial risk protection benefits to Nigerian households. These benefits would accrue preferentially to the poorest quintiles and would contribute towards reduction of health and socioeconomic inequalities in Nigeria. The distribution would be more pro-poor if public financing of MNCH interventions could target poor households. FUNDING: WHO Partnership for Maternal, Newborn, and Child Health.

Is Nigeria on course to achieve universal health coverage in the context of its epidemiological and financing transition? A knowledge, capacity and policy gap analysis (a qualitative study).

OBJECTIVES: This study aimed to assess Nigeria's preparedness to finance and drive the universal health coverage (UHC) agenda within the context of changing health conditions and resource needs associated with the disease, demographic and funding transitions.Nigeria is undergoing transitions in the healthcare system that include a double burden of infectious and non-communicable diseases, and transition from concessional donor assistance towards domestic financing for health. These transitions will affect Nigeria's attainment of UHC. DESIGN AND SETTING: We conducted a qualitative study, including semistructured interviews with relevant stakeholders at national and subnational levels in Nigeria. Data from the interviews were analysed using thematic analysis. PARTICIPANTS: Our study involved 18 respondents from government ministries, departments, and agencies, development partners, civil society organisations and academia. RESULTS: Capacity gaps identified by respondents included limited knowledge to implement health insurance schemes at subnational levels, poor information/data management to monitor progress towards UHC and limited communication and interagency collaboration between government agencies and ministries. Furthermore, participants in our study expressed those current policies driving major health reforms like the National Health Act (basic healthcare provision fund) appear adequate to support UHC advancement in theory, but policy implementation is a key challenge due to a lack of policy awareness, low government spending on health and poor evidence generation for information to support decisions. CONCLUSION: Our study found major gaps in knowledge and capacity for UHC advancement in the context of Nigeria's demographic, epidemiological and financing transitions. These included poor knowledge of demographic transitions, poor capacity for health insurance implementation at subnational levels, low government spending on health, poor policy implementation and poor communication and collaboration among stakeholders. To address these challenges, collaborative efforts are needed to bridge knowledge gaps and increase policy awareness through targeted knowledge products, improved communication and interagency collaboration.

The Impact of Hearing Loss and Its Treatment on Health-Related Quality of Life Utility: a Systematic Review with Meta-analysis.

BACKGROUND: Hearing loss significantly impacts health-related quality of life (QoL), yet the effects of current treatments on QoL utility remain uncertain. Our objective was to describe the impact of untreated and treated hearing loss on QoL utility to inform hearing healthcare policy. METHODS: We searched databases for articles published through 02/01/2021. Two independent reviewers screened for articles that reported elicitation of general QoL utility values for untreated and treated hearing loss health states. We extracted data and quality indicators from 62 studies that met the inclusion criteria. RESULTS: Included studies predominately used observational pre/post designs (61%), evaluated unilateral cochlear implantation (65%), administered the Health Utilities Index 3 (HUI3; 71%), and were conducted in Europe and North America (84%). In general, treatment of hearing loss improved post-treatment QoL utility when measured by most methods except the Euro-QoL 5 dimension (EQ-5D). In meta-analysis, hearing aids for adult mild-to-moderate hearing loss compared to no treatment significantly improved HUI3-estimated QoL utility (3 studies; mean change=0.11; 95% confidence interval (CI): 0.07 to 0.14) but did not impact EQ-5D-estimated QoL (3 studies; mean change=0.0; 95% CI: -0.03 to 0.04). Cochlear implants improved adult QoL utility 1-year post-implantation when measured by the HUI3 (7 studies; mean change=0.17; 95% CI: 0.11 to 0.23); however, pediatric VAS-estimated QoL utility was non-significant (4 studies; mean change=0.12; 95% CI: -0.02 to 0.25). The quality of included studies was limited by failure to report missingness of data and low survey response rates. Our study was limited by heterogeneous study populations and designs. FINDINGS: Treatment of hearing loss significantly improves QoL utility, and the HUI3 and VAS were most sensitive to improvements in hearing. Improved access to hearing healthcare should be prioritized. SYSTEMATIC REVIEW REGISTRATION: PROSPERO: CRD42021253314.

Mobilizing Domestic Funds for the HIV/AIDS Response in Nigeria: Estimating the Potential Contribution of the National Health Insurance Scheme.

BACKGROUND: Amid the dwindling donor support for HIV in Nigeria, there is an urgent need for additional domestic HIV funding. This study estimates the required financial resources for people living with HIV (PLHIV) and the potential magnitude of domestic resources for HIV through the National Health Insurance Scheme (NHIS) and by prioritizing HIV within the health budget. METHODS: We estimated the resource needs for providing antiretroviral therapy (ART) to adults, children, and pregnant women living with HIV under 3 scenarios: current coverage rates, coverage rates based on historical trends, and a rapid scale-up situation. We conducted a fiscal space analysis to estimate the potential contribution from macroeconomic growth, the NHIS, and prioritizing HIV within the health budget from 2020 to 2025. RESULTS: At current coverage rates, the annual treatment costs for adults would range between US$ 505 million in 2020 to US$ 655 million in 2025; for children, it ranges from US$ 33.5 million in 2020 to US$ 32 million in 2025. The annual costs of providing PMTCT at current coverage rates range from US$ 65 million in 2020 to US$ 72 million in 2025. An additional US$ 319 million could potentially be generated between 2020 and 2025 through the NHIS for HIV. Prioritizing HIV within the health budget can generate an additional US$ 686 million. CONCLUSION: Substantial domestic funds can be mobilized by these means to sustain the HIV response. However, because this additional funding may not be sufficient to cover all PLHIV, a phased approach, initially prioritizing certain populations such as children or pregnant women, is recommended.

Model-Projected Cost-Effectiveness of Adult Hearing Screening in the USA.

BACKGROUND: While 60% of older adults have hearing loss (HL), the majority have never had their hearing tested. OBJECTIVE: We sought to estimate long-term clinical and economic effects of alternative adult hearing screening schedules in the USA. DESIGN: Model-based cost-effectiveness analysis simulating Current Detection (CD) and linkage of persons with HL to hearing healthcare, compared to alternative screening schedules varying by age at first screen (45 to 75 years) and screening frequency (every 1 or 5 years). Simulated persons experience yearly age- and sex-specific probabilities of acquiring HL, and subsequent hearing aid uptake (0.5-8%/year) and discontinuation (13-4%). Quality-adjusted life-years (QALYs) were estimated according to hearing level and treatment status. Costs from a health system perspective include screening ($30-120; 2020 USD), HL diagnosis ($300), and hearing aid devices ($3690 year 1, $910/subsequent year). Data sources were published estimates from NHANES and clinical trials of adult hearing screening. PARTICIPANTS: Forty-year-old persons in US primary care across their lifetime. INTERVENTION: Alternative screening schedules that increase baseline probabilities of hearing aid uptake (base-case 1.62-fold; range 1.05-2.25-fold). MAIN MEASURES: Lifetime undiscounted and discounted (3%/year) costs and QALYs and incremental cost-effectiveness ratios (ICERs). KEY RESULTS: CD resulted in 1.20 average person-years of hearing aid use compared to 1.27-1.68 with the screening schedules. Lifetime total per-person undiscounted costs were $3300 for CD and ranged from $3630 for 5-yearly screening beginning at age 75 to $6490 for yearly screening beginning at age 45. In cost-effectiveness analysis, yearly screening beginning at ages 75, 65, and 55 years had ICERs of $39,100/QALY, $48,900/QALY, and $96,900/QALY, respectively. Results were most sensitive to variations in hearing aid utility benefit and screening effectiveness. LIMITATION: Input uncertainty around screening effectiveness. CONCLUSIONS: We project that yearly hearing screening beginning at age 55+ is cost-effective by US standards.

Tracking financing for global common goods for health: A machine learning approach using natural language processing techniques.

Objective: Tracking global health funding is a crucial but time consuming and labor-intensive process. This study aimed to develop a framework to automate the tracking of global health spending using natural language processing (NLP) and machine learning (ML) algorithms. We used the global common goods for health (CGH) categories developed by Schäferhoff et al. to design and evaluate ML models. Methods: We used data curated by Schäferhoff et al., which tracked the official development assistance (ODA) disbursements to global CGH for 2013, 2015, and 2017, for training and validating the ML models. To process raw text, we implemented different NLP techniques, such as removing stop words, lemmatization, and creation of synthetic text, to balance the dataset. We used four supervised learning ML algorithms-random forest (RF), XGBOOST, support vector machine (SVM), and multinomial naïve Bayes (MNB) (see Glossary)-to train and test the pre-coded dataset, and applied the best model on dataset that hasn't been manually coded to predict the financing for CGH in 2019. Results: After we trained the machine on the training dataset (n = 10,534), the weighted average F1-scores (a measure of a ML model's performance) on the testing dataset (n = 2,634) ranked 0.79-0.83 among four models, and the RF model had the best performance (F1-score = 0.83). The predicted total donor support for CGH projects by the RF model was $2.24 billion across 3 years, which was very close to the finding of $2.25 billion derived from coding and classification by humans. By applying the trained RF model on the 2019 dataset, we predicted that the total funding for global CGH was about $2.7 billion for 730 CGH projects. Conclusion: We have demonstrated that NLP and ML can be a feasible and efficient way to classify health projects into different global CGH categories, and thus track health funding for CGH routinely using data from publicly available databases.

Estimated Monetary Value of Future Research Clarifying Uncertainties Around the Optimal Adult Hearing Screening Schedule.

Importance: Adult hearing screening is not routinely performed, and most individuals with hearing loss (HL) have never had their hearing tested as adults. Objective: To project the monetary value of future research clarifying uncertainties around the optimal adult hearing screening schedule. Design, Setting, and Participants: In this economic evaluation, a validated decision model of HL (DeciBHAL-US: Decision model of the Burden of Hearing loss Across the Lifespan) was used to simulate current detection and treatment of HL vs hearing screening schedules. Key model inputs included HL incidence (0.06%-10.42%/y), hearing aid uptake (0.54%-8.14%/y), screening effectiveness (1.62 × hearing aid uptake), utility benefits of hearing aids (+0.11), and hearing aid device costs ($3690). Distributions to model parameters for probabilistic uncertainty analysis were assigned. The expected value of perfect information (EVPI) and expected value of partial perfect information (EVPPI) using a willingness to pay of $100 000 per quality-adjusted life-year (QALY) was estimated. The EVPI and EVPPI estimate the upper bound of the dollar value of future research. This study was based on 40-year-old persons over their remaining lifetimes in a US primary care setting. Exposures: Screening schedules beginning at ages 45, 55, 65, and 75 years, and frequencies of every 1 or 5 years. Main Outcomes and Measures: The main outcomes were QALYs and costs (2020 US dollars) from a health system perspective. Results: The average incremental cost-effectiveness ratio for yearly screening beginning at ages 55 to 75 years ranged from $39 200 to $80 200/QALY. Yearly screening beginning at age 55 years was the optimal screening schedule in 38% of probabilistic uncertainty analysis simulations. The population EVPI, or value of reducing all uncertainty, was $8.2 to $12.6 billion varying with willingness to pay and the EVPPI, or value of reducing all screening effectiveness uncertainty, was $2.4 billion. Conclusions and Relevance: In this economic evaluation of US adult hearing screening, large uncertainty around the optimal adult hearing screening schedule was identified. Future research on hearing screening has a high potential value so is likely justified.