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  • Sustainable Financing for Health

    Chapter 4: Health Finance and Key Performance Indicators

    Key Takeaways

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    • chap4_li_0Global health institutions, such as the Global Fund, Gavi, and the World Bank, continue to play a crucial role in the health sector and can be considered key partners in discussions on financing instruments outlined in this User Guide.
    • chap4_li_1Understanding the composition of health spending is crucial for matching financing tools with the appropriate type of health expenditure, ensuring that resources are utilised efficiently.
    • chap4_li_2Health-related key performance indicators (KPIs) are applied across various financing instruments. They can determine interest rates, ensure debt-swap savings are appropriately directed, and measure and incentivise service delivery and asset functionality in public-private partnerships (PPPs).
    • chap4_li_3The four key components of KPI selection are controllability, observation, absolute or relative measures, and frequency and lag, each of which serves a purpose in making KPIs relevant, measurable and achievable.
    • chap4_li_4KPI selection is intrinsically linked to the instrument to which it is tied, with PPPs being primarily focused on operational effectiveness. In contrast, sustainable finance instruments and debt swaps employ KPIs to measure broader health system outcomes.

    Setting Health Priorities

    1chap4_p_1Governments set their health priorities through a combination of long-term planning processes and annual budget cycles. These processes are designed to align health goals with broader national development objectives, while ensuring that public resources are used effectively and transparently. For those engaging with the health sector - whether from Ministries of Finance (MoFs), development institutions, or debt management offices - understanding how these priorities are set is essential for navigating the financing landscape and identifying where different instruments can add value.

    2chap4_p_2National Development Plans (NDPs) form the broadest and most strategic layer of this process. These 5- to 10-year visions outline a country’s economic and social transformation objectives, with health typically embedded as a core pillar of human capital development. They set the direction of travel: expanding access to essential services, improving the health workforce, strengthening disease control, or modernising infrastructure. While these plans are often ambitious, they signal government commitment and serve to provide an important reference point for investors and partners seeking alignment with national priorities.

    3chap4_p_3Below the national vision sit sector-specific frameworks, most notably the national health sector strategic plans. These multi-year plans translate high-level aspirations into concrete priorities for the health system, defining service delivery goals, workforce needs, infrastructure requirements, digital health plans, and the reforms necessary to improve efficiency and equity. They guide Ministries of Health (MoHs) in preparing annual budgets, shaping investment cases, and coordinating support across development partners. Complementing these are targeted strategies for major disease areas or system needs, such as national HIV strategies, reproductive and maternal health plans, immunisation strategies, or human resources for health plans. These documents provide detailed, measurable targets that inform both government and partner financing decisions.

    4chap4_p_4While these plans are comprehensive, not every activity is funded immediately. Each year, MoHs must translate their strategic priorities into an annual budget submission that reflects available fiscal space, existing commitments, and the realities of implementation capacity. As a result, long-term plans remain partly aspirational, with only a subset of priorities incorporated into the government budget at any given time. Understanding this pipeline, from long-term vision to sector strategies and annual budgets, is essential for anyone looking to support or finance health investments. It reveals not only what a country hopes to achieve, but also which priorities are ready for investment and which require sustained dialogue, planning, and resourcing. MoHs can use these costed and prioritised plans to make a case for inclusion in financing instruments.

    5chap4_p_5The remainder of this chapter provides the practical foundation for engaging with health financing instruments. It begins by outlining the global health institutions (GHIs), such as the Global Fund, Gavi, and the World Bank, that play a central role in shaping and supporting health investments across Africa, before summarising the major budget categories and types of activities commonly funded within the health sector. The chapter then introduces the key performance indicators (KPIs) that underpin many of the financing tools described in this User Guide. These indicators provide the measurable link between resources and results, helping governments structure agreements that reward progress, strengthen accountability, and align financial terms with tangible improvements in population health.

    International and Domestic Financing for Health

    The Evolving Role of Global Health Initiatives

    6chap4_p_6Global health institutions such as Gavi, the Global Financing Facility, and the Global Fund to fight AIDS, tuberculosis and malaria (Global Fund), have been instrumental in improving health outcomes and strengthening health systems across Africa. Although they continue to play a vital role, their focus is evolving. Increasingly, these institutions act not only as sources of grant financing but also as platforms for co-financing, technical support, and transition planning.

    7chap4_p_7As countries move toward greater domestic resource mobilisation, GHIs are shifting from gap-fillers to enablers, helping governments design sustainable investment cases, align donor contributions with national priorities, and strengthen data and accountability systems. Their programmes now serve as building blocks for more integrated, country-led financing approaches, paving the way for mechanisms such as sustainability-linked loans, debt swaps, and PPPs to complement and reinforce existing health investments. The main active GHIs in Africa are treated below.

    The Global Fund to Fight AIDS, Tuberculosis and Malaria

    8chap4_p_8The Global Fund is a multilateral financing mechanism that mobilises and disburses resources to fight HIV/AIDS, tuberculosis and malaria, while strengthening health systems and

    pandemic preparedness. It operates on a country-led model, meaning African governments and civil society set priorities through country coordinating mechanisms (CCMs). Countries that benefit from Global Fund support operate under a performance-based grant model, where country ownership plays a key role through the CCMs. Funds are channelled through Principal Recipients (e.g. MoHs, Non-Government Organisations (NGOs) or United Nations (UN) agencies). Global Fund programmes cover disease prevention, diagnosis, and treatment, and also strengthen health systems (supply chains, labs, community health workers).

    Gavi, the Vaccine Alliance

    9chap4_p_9Gavi focuses on routine immunisation, introducing new vaccines, and strengthening immunisation systems. It provides vaccine subsidies, and receiving countries contribute co-financing based on income level. Gavi utilises a pooled procurement system in collaboration with the United Nations Children’s Fund (UNICEF) Supply Division and the World Health Organisation (WHO) to negotiate vaccine prices and ensure supply security. Gavi develops multi-year immunisation plans and funds vaccine-delivery infrastructure (cold chain, logistics, digital systems, workforce training). A key feature is that, as countries become wealthier, they gradually assume full vaccine financing.

    The Global Financing Facility (GFF)

    10chap4_p_10The GFF, launched in 2015 and hosted by the World Bank, supports countries to improve reproductive, maternal, newborn, child, and adolescent health and nutrition (RMNCAH-N). It aims to catalyse domestic financing and align donor investments for long-term sustainability. Countries develop a national investment case - a prioritised plan linking health and nutrition goals with financing strategies that will define the GFF’s support as a combination of grant funding and World Bank loans. The GFF operates through a single national platform that unites ministries, donors, civil society, and the private sector under one financing framework.

    11chap4_p_11The table below provides a summary of the focus areas and operating models for each of these entities. All three have significant links with MoHs and MoFs on the continent, although they often do not have staff based in country. Instead, they provide support through established, in-country governance mechanisms.

    12chap4_p_12Global Fund

    13chap4_p_13Gavi

    14chap4_p_14Global Financing Facility

    15chap4_p_15Main function

    16chap4_p_16Disease programmes

    17chap4_p_17Preventive immunisation

    18chap4_p_18Health system financing backbone

    19chap4_p_19Core purpose

    20chap4_p_20HIV, TB, malaria, and health systems

    21chap4_p_21Vaccination and immunisation systems

    22chap4_p_22RMNCAH-N and health financing reform

    23chap4_p_23Delivery Model

    24chap4_p_24Grants via Country Coordinating Mechanisms (CCMs)

    25chap4_p_25Vaccine co-financing and supply partnerships

    26chap4_p_26Blended financing with World Bank loans

    27chap4_p_27Health System Role

    28chap4_p_28Funds workforce, labs, procurement, surveillance

    29chap4_p_29Builds immunisation cold chains, logistics, and data

    30chap4_p_30Strengthens health financing, data, and budgeting

    31chap4_p_31Key Implementers

    32chap4_p_32MoHs, NGOs, Civil Society, and UN agencies

    33chap4_p_33MoHs, NGOs, UNICEF, and WHO

    34chap4_p_34MoFs and MoHs, World Bank

    35chap4_p_35African Coverage

    36chap4_p_36~45 countries

    37chap4_p_37~40 countries

    38chap4_p_38~30 countries

    Table 4.1: Mapping of the Largest Global Health Institutions

    39chap4_p_39These institutions do not provide debt or credit enhancement solutions (see Chapter 7: The Use of Public-Private Partnerships in Healthcare Projects). However, they can play an essential convening role in designing financing instruments and in bringing together international and domestic stakeholders. They are a potential trustworthy partner to help create and monitor programme activities, providing credibility to in-country execution. Specifically, these institutions could act as third-party implementers for debt swaps (see Chapter 6: Debt-for-Health Swaps) and provide oversight on programme execution and data quality for sustainable debt instruments (see Chapter 5: Sustainable Finance Instruments).

    Components of a Health Budget to be Financed

    40chap4_p_40For MoFs and other financial planners, health budgets can sometimes appear complex - a mix of recurrent costs, capital investments, and programmatic expenditures that do not always align neatly with health objectives and outcomes. Yet, understanding the composition of health spending is crucial for identifying which areas are best suited to different financing solutions. Health systems rely on a range of inputs, including infrastructure, equipment, digital systems, healthcare workers, pharmaceuticals, energy and utilities, as well as service delivery contracts, training programmes, and community-based interventions. Each category carries distinct financing characteristics - some suited to long-term capital instruments, while others are suited to results-based or blended approaches.

    41chap4_p_41The table below provides an overview of everyday activities within the health sector. It does not aim to be exhaustive, but rather to illustrate different elements of a typical health budget - such as infrastructure upgrades, supply-chain improvements, workforce investments, and preventive health programmes. Policymakers can identify the specific type of expenditures that require financing and match them with the appropriate financing tool, ensuring that limited resources are used strategically and sustainably.

    42chap4_p_42Programme Type

    43chap4_p_43Example strategic priorities

    44chap4_p_44Description

    45chap4_p_45Added value for the MoF

    46chap4_p_46Capital Expenditure

    47chap4_p_47Operating Expenditure

    48chap4_p_48Reproductive, maternal, newborn and child health

    49chap4_p_49(Family planning, pregnancy care, immunisation, child treatment)

    50chap4_p_50Family planning service provision

    51chap4_p_51*Training the health workforce

    52chap4_p_52*FP commodity procurement

    53chap4_p_53*Behaviour change communication

    54chap4_p_54Reducing the birth rate will have downward pressure on health and education budgets

    55chap4_p_55Local manufacturing for immunisations

    56chap4_p_56*Construction of a factory

    57chap4_p_57*Input costs

    58chap4_p_58*Running costs

    59chap4_p_59Potential taxation and employment generation

    60chap4_p_60Immunisation service delivery

    61chap4_p_61*Procurement of cold chain equipment (fridges, etc.)

    62chap4_p_62*Procurement of vaccines

    63chap4_p_63*Vaccination campaigns

    64chap4_p_64*Improving data systems for tracking

    65chap4_p_65*Staff training

    66chap4_p_66Strong immunisation programme reduces cost and supports pandemic preparedness

    67chap4_p_67Infectious Diseases

    68chap4_p_68(TB, HIV, malaria, water & sanitation, neglected tropical diseases)

    69chap4_p_69Disease elimination campaigns

    70chap4_p_70*Investments in laboratory capacity (I.e. equipment/lab sites)

    71chap4_p_71*Data and tracking systems improvements

    72chap4_p_72*Surveillance systems

    73chap4_p_73*Delivery of prevention and treatment activities (e.g. bed nets, trachoma surgeries)

    74chap4_p_74Disease elimination reduces treatment costs and increases workforce productivity.

    75chap4_p_75HIV treatment integration

    76chap4_p_76*Investment in testing equipment (CD4 / Viral Load)

    77chap4_p_77*Training of staff

    78chap4_p_78*Data systems improvements

    79chap4_p_79*Procurement of test and treatment commodities

    80chap4_p_80*Behaviour change

    81chap4_p_81Successful HIV treatment reduces the transmission of HIV and improves workforce productivity

    82chap4_p_82Service capacity and access

    83chap4_p_83(Health workforce, hospital access, health facility availability, pandemic preparedness)

    84chap4_p_84Construction of new hospitals/health centres to increase access to services

    85chap4_p_85*Hospital/health centre construction

    86chap4_p_86*Equipment procurement

    87chap4_p_87*Salaries for hospital staff

    88chap4_p_88*Running costs (I.e. utilities)

    89chap4_p_89The construction of hospitals should be considered in the context of spending on preventive care to understand the value for money.

    90chap4_p_90Health workforce and community health workforce development

    91chap4_p_91*Construction of staff housing

    92chap4_p_92*Salaries for the workforce (including community health workers)

    93chap4_p_93*Ongoing training for quality and retention

    94chap4_p_94*Incentives/benefits

    95chap4_p_95*Pre-service training (I.e. cost of universities)

    96chap4_p_96Moving community health workers into the salaried workforce has a substantial impact on prevention activities and the improvement of health service delivery.

    97chap4_p_97Pandemic preparedness

    98chap4_p_98*Procurement of laboratory systems

    99chap4_p_99*Coordination mechanism for disease monitoring across animal and human health

    100chap4_p_100*Staff trainings

    101chap4_p_101*Surveillance (I.e. travel to outbreaks)

    102chap4_p_102*Salary for public health institutions (e.g. CDC)

    103chap4_p_103*Develop a sample transportation system for lab testing

    104chap4_p_104*Strengthen data systems for tracking and surveillance

    105chap4_p_105Pandemic preparedness is essential to respond to localised outbreaks and potential epidemics/pandemics

    Table 4.2: Examples of Health Expenditure by Health Programme and Strategic Government Priorities

    Key Performance Indicators for Health

    Role of Key Performance Indicators for Sustainable Health Financing

    106chap4_p_106KPIs are key components for sustainable finance instruments, debt swaps and PPPs. For sustainably-linked financing instruments (SLFs) (I.e. sustainability-linked loans (SLLs) and sustainability-linked bonds (SLBs)), the KPI target describes which health aspect the instrument targets and links the setting of interest rates relative to achieving the sustainability performance targets (SPTs) for the relevant KPI, such that:

    107chap4_p_107Hence, a key component of SLFs is the monitoring, reporting, and verification (MRV) system, which tracks the progress of KPIs throughout the instrument’s lifetime (see Chapter 5: Sustainable Finance Instruments).

    108chap4_p_108In debt swaps, KPIs serve as safeguards to ensure that commitments made available through debt reductions are utilised to support projects and initiatives that improve health outcomes. Similar to SLFs, KPI tracking helps creditors verify the impact and therefore shape the scale and acceptability of the debt swap. If these commitments are not fulfilled, issuers will face recourse through contractually agreed-upon remedies (see Chapter 6: Debt-for-Health Swaps).

    109chap4_p_109In PPPs, KPIs also serve to incentivise the longevity of the asset and good operational performance. This requires monitoring implementation and operations through the Contract Monitoring Regime, ensuring that parties continue to bear the risk allocation specified in the PPP Agreement (see Chapter 6: Debt-for-Health Swaps).

    Principles of KPI Selection for Sustainable Debt Instruments

    110chap4_p_110The selection of KPIs is critical for setting goals and incentives for the issuers. This is particularly evident for SLFs, where the achievement of KPIs has a direct impact on the cost of debt; however, the same criteria apply to health bonds, loans, and debt swaps. Developing health KPIs that are economically and financially material for a government can positively affect the whole economy in the long term.

    111chap4_p_111While not a focus of this chapter, it is worth mentioning that, in addition to the KPI selection, the carrots and sticks of an SLF ultimately depend on its SPT (see Box A on the following page). This target-setting exercise is not trivial and must be conducted with the country’s own economic context, priorities, history, and peers in mind. One way to identify strong targets is to use the Feasibility and Ambitiousness (FAB) framework, developed by the World Bank. The FAB dashboard is a tool that enables users to conduct an assessment for a KPI of their choice, provided it is covered in the World Bank’s Sovereign Environmental, Social and Governance (ESG) Data Portal.

    112chap4_p_112Four key dimensions should be considered when selecting a KPI for these instruments:

    113chap4_p_113Controllability. KPIs serve a dual purpose. First, they define what indicator the instrument aims to improve, which is then formalised as the SPT. Second, they set the carrots and sticks (see Box A on the following page) for the issuer to ensure the SPT is reached. The controllability principle (see Nobel Prize lecture by Bengt Holmström (2016) on Pay for Performance and Beyond) is a helpful guideline for selecting KPIs, as the MoH will be unlikely to commit to a target if the outcome is driven mainly by outside or predetermined factors, such as life expectancy, and not only influenced by national policy action. The concept of controllability is closely related to attributability described in Flugge et al. (2021)

    Box A: The “Carrots and Sticks” of Sustainability-Linked Financing

    114chap4_p_114The controllability principle states that KPIs in SLFs should reflect outcomes that the issuer can meaningfully influence. For governments, this principle is central because they are risk-averse and accountable for the use of taxpayer resources. If a KPI is heavily driven by external shocks, such as global food prices or extreme weather, the government may face financial penalties despite taking all reasonable policy actions. This reduces willingness to issue sustainability-linked instruments and weakens the credibility of the financing structure.

    115chap4_p_115To address this, KPIs should be selected or constructed to isolate the portion of performance that is within governmental control. For example, suppose a government aims to improve nutrition outcomes. In that case, the metric should be defined in a way that removes exogenous price effects or focuses on controllable drivers such as distribution efficiency, targeted safety-net coverage, or domestic programme delivery. Designing KPIs in this way protects the issuer from uncontrollable volatility, aligns incentives between the government and investors, and increases the feasibility of adopting SLF at scale.

    116chap4_p_116(For an explanation of the controllability principle in the context of nutrition-related KPIs, see Wang and de Smit (2026, forthcoming),Wang and de Smit. (2026, forthcoming). Sustainability-Linked Financing with Health KPIs in Africa. World Bank Policy Research Working Paper.  or in the context of forestry KPIs, see Wang et al (2023).)

    117chap4_p_117Observability. KPIs require annual observation frequencies that can be reported and verified. Ideally, these KPIs have historical data and comparable data in peer countries. Measurement errors need to be accounted for, as they may lead to SPTs or commitments being reached or broken despite being within the margin of error of surveys. Box B describes the specific challenges when relying on KPIs that use modelled estimates.

    118chap4_p_118Absolute or relative measures. KPIs are often available in two formats. First, in absolute numbers (e.g. number of nurses) and second, in relative terms (e.g. number of nurses per 100,000 population). The former tends to be more accurate as the denominator of the second (e.g. population statistics) may come from a different source and introduce new sources of measurement errors and survey uncertainties. However, the benefit of relative numbers is that it facilitates comparison with peer countries.

    Box B: Challenges with health KPIs based on modelled estimates

    119chap4_p_119A recurring challenge in health-sector KPIs is that the underlying data are often sparse, noisy, or inconsistent across sources. To address these limitations, international agencies publish modelled estimates that systematically fill data gaps and produce long-run trajectories that are internally consistent across time and countries. These approaches impose a degree of smoothness on the data and aim at identifying generalisable trends across countries. Before the issuance of the debt instrument, this stability can help characterise a business-as-usual (BAU) trajectory and serve as a benchmark against which future progress or policies can be assessed, without allowing single irregular observations to skew the picture (see the blue line in the figure below).

    chap4_figure_0chap4_img_0

    120chap4_p_120After the debt is issued, during monitoring and evaluation, these same properties can make modelled estimates inappropriate for use as KPIs. KPIs are intended to track meaningful departures from the BAU path. Yet, modelled estimates are designed to down-weight abrupt changes, even when those changes may reflect genuine policy action or structural shifts. Smoothing techniques such as penalised splines or mixed-effects models are used with the explicit intention of limiting volatility and outliers. While these methods eventually adjust to new patterns that persist, they are not designed to capture rapid movements that may be critical for assessing the outcomes of policy change. For this reason, when evaluating impacts or determining the achievement of SPTs, alternative data sources such as unmodelled survey data can provide a clearer signal of real-time change (see the last red dot in the figure above). However, we should note that survey data can carry its own uncertainties. For details, see Wang and de Smit (2026, forthcoming).

    121chap4_p_121Frequency and lag. The KPIs should be observed at least annually. If the KPIs are reported with a significant lag, it will introduce complications with the carrot and sticks (see Case Study below), which in turn weakens the financial incentive structures. The lag should also account for the time necessary to verify the KPIs.

    Examples of Health KPIs for Sustainable Debt Instruments

    122chap4_p_122Unless the sustainable debt instruments are used to fund a specific PPP project, health KPIs for SLFs, use of proceeds (UoPs), and debt swaps typically address system-wide issues. This section describes three health KPIs in the context of the lifecycle of a health outcome, starting from the high-level national policy, to the observable activities, outputs and outcomes, and the final impact measure. We also describe the suitability of the three financial instruments for each step of the health improvement journey, borrowing the terminology of the Donabedian framework.

    123chap4_p_123The examples provided below were chosen to be illustrative. The indicators chosen for debt instruments will need to be considered and evaluated on a case-by-case basis, in line with the country’s context, health priorities, and data availability and quality. For example, indicators on TB, immunisation or health facility access could equally be considered, based on data availability.

    124chap4_p_124As seen in the examples below, health bonds and loans are typically aligned with activity-level interventions, which can be easily mapped and tracked within the budget. Investors in an SLF are generally interested in more outcome- or impact-oriented data; however, the MoH must propose indicators that are within their control to influence and that have strong data systems capable of regular updates. Debt swaps are the most versatile instrument and can incorporate KPIs from different levels, including policy or legal commitments from the government. As with SLFs, they will require strong data systems that can be monitored and verified for each indicator.

    125chap4_p_125Step

    126chap4_p_126Policy Commitment

    127chap4_p_127Process

    128chap4_p_128Outcome

    129chap4_p_129KPI / Policy

    130chap4_p_130Plan to integrate HIV test and treatment into the benefit package and national insurance plan

    131chap4_p_131Number of health workers trained in HIV testing and treatment

    132chap4_p_132Number of people tested for HIV

    133chap4_p_133Number of people on Treatment

    134chap4_p_134% of people on ART who achieved viral suppression

    135chap4_p_135HIV new incidence rate

    136chap4_p_136Controllability

    137chap4_p_137High

    138chap4_p_138High

    139chap4_p_139High

    140chap4_p_140High

    141chap4_p_141Medium

    142chap4_p_142Observability

    143chap4_p_143High

    144chap4_p_144High

    145chap4_p_145Medium

    146chap4_p_146Medium

    147chap4_p_147Low

    148chap4_p_148Health Bond/Loan

    149chap4_p_149

    150chap4_p_150

    151chap4_p_151

    152chap4_p_152

    153chap4_p_153

    154chap4_p_154SLF

    155chap4_p_155

    156chap4_p_156

    157chap4_p_157

    158chap4_p_158

    159chap4_p_159

    160chap4_p_160Debt Swaps

    161chap4_p_161

    162chap4_p_162

    163chap4_p_163

    164chap4_p_164

    165chap4_p_165

    Table 4.3: Reduction of HIV Incidence Rate

    166chap4_p_166Reduction of HIV incidence rate (Table 4.3). In the case of HIV, the incidence rate may not be ideal for the SLF instrument or debt swap in cases where it relies on prevalence surveys that are not conducted annually. Where data quality is strong for the number of people tested and treated for HIV or the % of people on antiretroviral therapy (ART) who are virally suppressed, these could serve as strong KPIs for SLF and debt swaps.

    167chap4_p_167Step

    168chap4_p_168Policy Commitment

    169chap4_p_169Process

    170chap4_p_170Outcome

    171chap4_p_171KPI / Policy

    172chap4_p_172Health workforce development plan addressing key challenges (retention, brain drain)

    173chap4_p_173Number of health colleges built, and students enrolled

    174chap4_p_174(in collaboration with the Ministry of Education)

    175chap4_p_175Number of doctors/nurses per 1,000 population

    176chap4_p_176Retention rate for public health workers

    177chap4_p_177Patient satisfaction surveys (measuring quality of care)

    178chap4_p_178Controllability

    179chap4_p_179High

    180chap4_p_180High

    181chap4_p_181Medium

    182chap4_p_182Medium

    183chap4_p_183Medium

    184chap4_p_184Observability

    185chap4_p_185High

    186chap4_p_186High

    187chap4_p_187High

    188chap4_p_188Medium

    189chap4_p_189Low

    190chap4_p_190Health Bond/Loan

    191chap4_p_191

    192chap4_p_192

    193chap4_p_193

    194chap4_p_194

    195chap4_p_195

    196chap4_p_196SLF

    197chap4_p_197

    198chap4_p_198

    199chap4_p_199

    200chap4_p_200

    201chap4_p_201

    202chap4_p_202Debt Swaps

    203chap4_p_203

    204chap4_p_204

    205chap4_p_205

    206chap4_p_206

    207chap4_p_207

    Table 4.4: Improving the Access to and Quality of the Health Workforce

    208chap4_p_208Improving the access to and quality of the health workforce (Table 4.4). In this example of the health workforce, the indicators available for the SLF may be more limited. Given that the retention rate is complex to influence and even more challenging to monitor (due to limitations in the HRIS data system), the outcome indicator may not be suitable for the SLF. However, the ratio of doctors or nurses to the population could be a good option, as this is an internationally recognised indicator with reasonably robust underlying data.

    209chap4_p_209The retention rate may be selected for the debt swap. If this is a key priority for the government, additional indicators or support will be provided to improve data quality on this indicator.

    210chap4_p_210Step

    211chap4_p_211Policy Commitment

    212chap4_p_212Process

    213chap4_p_213Outcome

    214chap4_p_214KPI / Policy

    215chap4_p_215Guidelines produced to promote exclusive breastfeeding

    216chap4_p_216Number of School-based deworming campaigns run

    217chap4_p_217Number of children who have taken deworming treatment

    218chap4_p_218Prevalence of under-5 stunting

    219chap4_p_219Under-5 mortality rate

    220chap4_p_220Controllability

    221chap4_p_221High

    222chap4_p_222High

    223chap4_p_223High

    224chap4_p_224Low

    225chap4_p_225Low

    226chap4_p_226Observability

    227chap4_p_227High

    228chap4_p_228High

    229chap4_p_229High

    230chap4_p_230Medium

    231chap4_p_231Medium

    232chap4_p_232Health Bond/Loan

    233chap4_p_233

    234chap4_p_234

    235chap4_p_235

    236chap4_p_236

    237chap4_p_237

    238chap4_p_238SLF

    239chap4_p_239

    240chap4_p_240

    241chap4_p_241

    242chap4_p_242

    243chap4_p_243

    244chap4_p_244Debt Swaps

    245chap4_p_245

    246chap4_p_246

    247chap4_p_247

    248chap4_p_248

    249chap4_p_249

    Table 4.5: Improving Children’s Health and Nutrition

    250chap4_p_250Improving children’s health and nutrition (Table 4.5). In this example for child nutrition and under-five mortality rate, the country may not feel confident in its ability to influence under-5 stunting with a health-only intervention, as this is a multi-sectoral effort. Additionally, data collection methods for this indicator, as well as the under-5 mortality rate, rely on surveys and may not be updated frequently enough to be used in an SLF or debt swaps. In this case, focusing on the provision of services, such as deworming campaigns or deworming coverage, may be preferable, provided there is strong data availability.

    Further Examples of Health KPIs

    251chap4_p_251The KPIs shown above are selected from a larger set of health-related KPIs provided by the WHO. They are indicative examples. Countries should consider their own data and priorities when identifying KPIs that are appropriate for their specific financing instruments.

    252chap4_p_252A comprehensive list of KPIs is forthcoming from Wang and de Smit (2026)Wang and de Smit. (2026, forthcoming). Sustainability-Linked Financing with Health KPIs in Africa. World Bank Policy Research Working Paper.   identifying a shortlist of standardised health indicators that satisfy a set of data availability criteria, which include temporal coverage, country coverage, average and median lag, controllability, and observability for countries in Latin America, sub-Saharan Africa and the Asia Pacific.

    Principles of KPI Selection for PPPs

    253chap4_p_253PPPs are fundamentally concerned with the transfer of risk. If the private partner does not manage their operations effectively, they may incur financial losses in the form of penalties and payment deductions. If this persists, they may also face termination of their contract. This is typically incorporated into the payment and performance quality regime for a PPP, which generally addresses two matters: the availability of the facility and the quality of services being delivered.

    254chap4_p_254Measurement is conducted through a series of quality indicators (QIs), with availability assessed through technical and operational tests (referred to as availability indicators (AIs)), which determine whether a health facility (e.g. a hospital, laboratory, hospital wing, or health centre) is available or not. As availability payments are, by definition, made for the available facilities, this means that part or all of the availability payment is at risk if the private partner does not keep the entire facility available at all times.

    255chap4_p_255Performance is measured through a series of performance indicators (PIs), some of which are generic (e.g. infection control) and others that are specific to the facility’s clinical services profile (e.g. cardiology-specific PIs). If the private partner persistently fails to meet some or all of its PIs, it can stand the risk of the PPP Agreement being terminated.

    256chap4_p_256The most critical patient safety and clinical outcome parameters are used to calculate and apply payment deductions from the due payments. These are referred to as KPIs.

    257chap4_p_257Therefore, the selection of AIs, PIs, and KPIs is critical for setting goals and incentivising good performance. AIs, PIs and KPIs need to be realistic and representative, reflecting safety and quality of care standards. If QIs are set too harshly, they can render a PPP transaction unbankable or significantly impact the risk margins and/ or cost of capital. This is because harsh QIs can attract significant penalties and payment deductions. It is therefore advisable to set the measures, drawing on realistic practical experience, and to incorporate alongside them a realistic notification and rectification regime, which at the same time safeguards patient and people safety. Financial modelling is used to calibrate the penalty deduction mechanism and set the penalty deduction quantum such that the financial impact on the private partner is limited.

    where
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    Sustainable Financing for Health

    A User Guide for African Governments

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    where
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    Sustainable Financing for Health

    A User Guide for African Governments

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