Getting ready for reduced donor dependency: the co-financing of family planning commodities.

Family planning (FP) programmes in low and lower-middle income countries are confronting the dual impact of reduced external donor commitments and stagnant or reduced domestic financing, worsened by economic consequences of the COVID-19 pandemic. Co-financing-a donor-government agreement to jointly fund aspects of a programme, with transition towards the government assuming increasing responsibility for total cost-can be a powerful tool to help build national ownership, fiscal sustainability and programme visibility. Using Gavi's successful co-financing model as reference, the current paper draws out a set of key considerations for developing policies on co-financing of FP commodities in resource-poor settings. Macroeconomic and contextual sensitivities must be incorporated while classifying countries and determining co-financing obligations-using the actual GNI per capita on a scale or sovereign credit ratings, in conjunction with programmatic indicators, may be preferred. It is also important for policies to allow sufficiently long time for countries to transition-dependent on the country context, may be up to 10 years as allowed under the US Agency for International Development FP graduation policy and flexibility to revisit the terms following externalities that can influence the fiscal space for health. Incentivizing new domestic financing to pay for co-financing dues is critical, so as not to displace government funding from related health or social sector programs. Pragmatic ways to ensure country compliance can include engaging both the ministries of health and finance as co-signatories to identify and address known administrative and fiscal challenges; establishing dedicated co-financing account with the finance ministry; and instituting a mutual monitoring mechanism. Lastly, the overall process of policymaking can benefit from an alignment of goals and interests of the key development partners.

Hardship financing, productivity loss, and the economic cost of illness and injury in Cambodia.

BACKGROUND: Financial risk protection is a core dimension of universal health coverage. Hardship financing, defined as borrowing and selling land or assets to pay for healthcare, is a measure of last recourse. Increasing indebtedness and high interest rates, particularly among unregulated money lenders, can lead to a vicious cycle of poverty and exacerbate inequity. METHODS: To inform efforts to improve Cambodia's social health protection system we analyze 2019-2020 Cambodia Socio-economic Survey data to assess hardship financing, illness and injury related productivity loss, and estimate related economic impacts. We apply two-stage Instrumental Variable multiple regression to address endogeneity relating to net income. In addition, we calculate a direct economic measure to facilitate the regular monitoring and reporting on the devastating burden of excessive out-of-pocket expenditure for policy makers. RESULTS: More than 98,500 households or 2.7% of the total population resorted to hardship financing over the past year. Factors significantly increasing risk are higher out-of-pocket healthcare expenditures, illness or injury related productivity loss, and spending of savings. The economic burden from annual lost productivity from illness or injury amounts to US$ 459.9 million or 1.7% of GDP. The estimated household economic cost related to hardship financing is US$ 250.8 million or 0.9% of GDP. CONCLUSIONS: Such losses can be mitigated with policy measures such as linking a catastrophic health coverage mechanism to the Health Equity Funds, capping interest rates on health-related loans, and using loan guarantees to incentivize microfinance institutions and banks to refinance health-related, high-interest loans from money lenders. These measures could strengthen social health protection by enhancing financial risk protection, mitigating vulnerability to the devastating economic effects of health shocks, and reducing inequities.

Evaluating Country Performance After Transitioning From Gavi Assistance: An Applied Synthetic Control Analysis.

INTRODUCTION: Over the past decade, international development assistance for health has slowed. As donors seek to increase domestic cofinancing and ultimately transition countries from donor aid dependence, COVID-19 has severely constrained public budgets. The evaluation of sustainability and longer-term impacts of donor withdrawal is increasingly important. We assess vaccination coverage and post-neonatal mortality to estimate country performance of these outcomes among countries that no longer received assistance from Gavi, the Vaccine Alliance (Gavi) between 2000 and 2018. METHODS: Using data from all countries receiving Gavi support between 2000 and 2020, we employed a synthetic control method to generate a pre-transition counterfactual with the same characteristics as the observation of interest to predict a future that empirically never existed. The synthetic unit is constructed from the weighted average of other units with good fit to the unit of interest before transition but did not transition. RESULTS: We found substantial heterogeneity after transitioning from Gavi assistance. China, Guyana, and Turkmenistan overperformed their expected coverage rates; Albania, Bhutan, China, Guyana, and Turkmenistan maintained coverage over 90%; and Bosnia and Herzegovina and Ukraine reported precipitous drop-offs that fell well below their synthetic controls. We also observed a vaccination coverage decline in 2020 for several countries after transitioning and most synthetic controls, which we attribute to COVID-19-related service disruptions. CONCLUSIONS: We recommend that Gavi adjust its transition model to systematically assess contextual externalities and risk. In addition, countries that no longer receive Gavi assistance can leverage technical assistance and communities of practice to mutually assist each other and other countries advancing toward transition. This could also foster intracountry accountability after transition. We also recommend that Gavi systematize post-transition assessments and evaluations that leverage the expertise and experience of graduated countries to encourage cross-learning.

Advancing universal health coverage in the COVID-19 era: an assessment of public health services technical efficiency and applied cost allocation in Cambodia.

BACKGROUND: Achieving universal health coverage (UHC) is a global priority and a keystone element of the 2030 Sustainable Development Goals. However, COVID-19 is causing serious impacts on tax revenue and many countries are facing constraints to new investment in health. To advance UHC progress, countries can also focus on improving health system technical efficiency to maximize the service outputs given the current health financing levels. METHODS: This study assesses Cambodia's public health services technical efficiency, unit costs, and utilization rates to quantify the extent to which current health financing can accommodate the expansion of social health protection coverage. This study employs Data Envelopment Analysis (DEA), truncated regression, and pioneers the application of DEA Aumann-Shapley applied cost allocation to the health sector, enabling unit cost estimation for the major social health insurance payment categories. RESULTS: Overall, for the public health system to be fully efficient output would need to increase by 34 and 73% for hospitals and health centers, respectively. We find public sector service quality, private sector providers, and non-discretionary financing to be statistically significant factors affecting technical efficiency. We estimate there is potential supply-side 'service space' to expand population coverage to an additional 4.69 million social health insurance beneficiaries with existing financing if the public health system were fully efficient. CONCLUSIONS: Public health service efficiency in Cambodia can be improved by increasing utilization of cost-effective services. This can be achieved by enrolling more beneficiaries into the social health insurance schemes with current supply-side financing levels. Other factors that can lead to increased efficiency are improving health service quality, regulating private sector providers, focusing on discretionary health financing, and incentivizing a referral system.

Improving Health Service Quality in the Kingdom of Cambodia: A Policy Perspective.

The achievement of Universal Health Coverage, including quality services, is high on the international agenda. Cambodia aims to expand social health protection and is committed to improving the healthcare service quality. We review the country context and propose five policy approaches to accelerate progress on healthcare quality improvement in Cambodia. These approaches aim to augment the profile and continued focus on quality while leveraging and optimizing existing systems to incentivize improvements and increase value for money.