Progress towards malaria control targets in relation to national malaria programme funding
© Korenromp et al.; licensee BioMed Central Ltd. 2013
Received: 23 September 2012
Accepted: 20 December 2012
Published: 14 January 2013
Malaria control has been dramatically scaled up the past decade, mainly thanks to increasing international donor financing since 2003. This study assessed progress up to 2010 towards global malaria impact targets, in relation to Global Fund, other donor and domestic malaria programme financing over 2003 to 2009.
Assessments used domestic malaria financing reported by national programmes, and Global Fund/OECD data on donor financing for 90 endemic low- and middle-income countries, WHO estimates of households owning one or more insecticide-treated mosquito net (ITN) for countries in sub-Saharan Africa, and WHO-estimated malaria case incidence and deaths in countries outside sub-Saharan Africa.
Global Fund and other donor funding is concentrated in a subset of the highest endemic African countries. Outside Africa, donor funding is concentrated in those countries with highest malaria mortality and case incidence rates over the years 2000 to 2003. ITN coverage in 2010 in Africa, and declines in case and death rates per person at risk over 2004 to 2010 outside Africa, were greatest in countries with highest donor funding per person at risk, and smallest in countries with lowest donor malaria funding per person at risk. Outside Africa, all-source malaria programme funding over 2003 to 2009 per case averted ($56-5,749) or per death averted ($58,000-3,900,000) over 2004 to 2010 tended to be lower (more favourable) in countries with higher donor malaria funding per person at risk.
Increases in malaria programme funding are associated with accelerated progress towards malaria control targets. Associations between programme funding per person at risk and ITN coverage increases and declines in case and death rates suggest opportunities to maximize the impact of donor funding, by strategic re-allocation to countries with highest continued need.
KeywordsMalaria/mortality Malaria/prevention and control Child health Programme impact Financing Health resources Investments Millennium Development Goals Resource-poor countries
Malaria targets in the Millennium Development Goals and of the World Health Assembly and Roll Back Malaria Partnership
MDG 6 − Combat HIV/AIDS, malaria and other diseases :
• Target 6c: By 2015, have halted and begun to reverse the incidence of malaria and other major diseases
• Indicator 6.6: Incidence and death rates associated with malaria
• Indicator 6.7: Proportion of children under-five sleeping under an insecticide-treated bed net
MDG 4 − Reduce child mortality :
• Target 4a: Reduce by two-thirds, between 1990 and 2015, the under-five mortality rate.
World Health Assembly :
• Reduce malaria cases by 75% from 2000 to 2015
• Reduce malaria-related deaths by 75% from 2000 to 2015.
• Objective 1: Near-zero malaria deaths by 2015.
• Objective 2: Reduce malaria cases by 75%, from 2000 to 2015.
• Objective 3: Eliminate malaria by 2015 in 10 new countries and in the WHO European Region.
• Target 2.2 Sustain universal access to and utilization of prevention measures: By 2015 and beyond, all countries sustain universal access to and utilization of an appropriate package of preventive interventions.
• Indicator: Proportion of households with at least one ITN.
As a consequence of increased coverage with ITNs and artemisinin-based combination therapy (ACT), a growing number of countries have reported decreasing numbers of confirmed malaria cases and/or malaria-attributed hospital admissions and deaths since 2000; globally, malaria mortality has fallen by an estimated 25% [3, 7].
RBM and WHO estimate the financing need for effective malaria control to exceed US$5 billion every year through 2015; yet even at its 2011 peak, global funding available for malaria remained far below this need, with international disbursement totalling US$2 billion and domestic financing a lower amount [3, 8, 9]. To allocate available funding effectively and maximize the impact of investments, it is critical to understand how and where funding is advancing programme success in terms of population coverage achieved as well as health impact [3, 9].
This study compares changes in the proportion of households owning at least one ITN (for sub-Saharan Africa countries) and in malaria cases and deaths (for countries outside Africa) with levels of malaria programme funding (from the Global Fund, other donors and domestic governments) available to low- and middle-income countries over the period 2003 to 2010. Findings are discussed with a view towards informing donor investment strategies and allocation policies.
Malaria programme financing
Malaria programme funding in each endemic country was expressed as the cumulative funding between 2003 (the first year of Global Fund malaria disbursements) and December 2009, in current US dollars. To assess the effects of funding on progress with malaria control, given that available estimates on malaria cases and deaths extended to 2010, analysis of funding data was capped at December 2009, assuming a typical lag of one year to in-country spending, programme implementation  and ensuing impact on reducing malaria cases and deaths.
Allocations from the Global Fund were taken as disbursements through malaria grants [5, 11]. Other-donor gross disbursements included those from the USA President’s Malaria Initiative , World Bank , and other bilateral and multilateral donors as reported through the Organization for Economic Cooperation and Development (OECD) Development Assistance Committee (DAC)’s Creditor Reporting System . Domestic financing data was taken from reports by National Malaria Control Programmes to WHO through the annual World Malaria Report questionnaire . Government funding is expressed as programme expenditures, or as budgets when a programme had not reported government expenditures .
Total country funding was converted into funding per-capita using national population sizes , and into funding per person at risk using WHO estimates of national populations at risk . For analyses, countries were stratified into three groups, according to their level of funding from all donors (Global Fund and other donors combined) cumulated over 2003 to 2009 per person at risk (Additional file 1). All-donor funding was chosen as the criterion for country stratification, because donor funding has increased relatively more than domestic government funding over the period 2003 to 2009, and is more likely to be allocated to commodities and other variable costs of malaria programmes, as opposed to the more stable cost of human resources, which is usually covered by national governments.
Insecticide-treated bed net coverage estimates
ITN coverage was assessed as the proportion of households that own one or more ITNs, estimated every year by WHO and partners, for 41 malaria-endemic, low- and middle-income countries in sub-Saharan Africa over the years 2003 to 2010 . The coverage estimation is based on data from nationally representative household surveys (Demographic and Health Surveys, Multiple Indicator Cluster Surveys and Malaria Indicator Surveys), manufacturer reports of ITN procurement and National Malaria Programme reports of ITN distribution . Coverage estimates refer to each country’s population at risk of malaria transmission, assuming that in countries with <100% of the national population living at malaria risk, all available ITNs are owned by households in malarious areas . ITN coverage estimates for national population at risk were not available for countries outside sub-Saharan Africa, where malaria transmission is often focused in certain regions, so that national surveys do not give a meaningful indication of the level of protection in populations actually living in areas with malaria transmission.
Malaria case and death estimates
Assessments focus on 49 malaria-endemic, low- and middle-income countries outside sub-Saharan Africa, after exclusion of Turkey, Paraguay and Kyrgyzstan, with income levels taken from the World Bank income classification of 2005 . All of these 49 countries were eligible for Global Fund malaria support up to 2010. Turkey, Paraguay and Kyrgyzstan were excluded because they had very few cases throughout the 2000s and small populations at risk, resulting in extremely high levels of funding per person at risk that would have distorted analyses.
WHO’s case estimates for these countries were based on numbers of reported, parasitologically confirmed malaria cases from national health information systems (HIS), adjusted for reporting completeness, the proportion of suspected malaria cases that are parasite-positive, the proportion of confirmed cases due to each Plasmodium species, and the extent to which patients use public sector health facilities [3, 15, 19, 20]. Death estimates were derived by multiplying the number of Plasmodium falciparum malaria cases estimated for each country by a fixed case fatality rate [3, 20]. Case and death estimates were evaluated over the period 2004 to 2010.
For most countries in sub-Saharan Africa, the overall quality of surveillance data did not allow a convincing estimate of total cases to be made from reported cases . For these countries, numbers of cases and deaths are estimated using an epidemiological model in which the trend in each country over time is a function of that country’s increase in household ITN coverage . The dependence of these case and death trend estimates on national ITN coverage trends, itself already considered as progress outcome earlier in the current analysis, precluded an independent assessment of case and death trends in relation to programme funding for the sub-Saharan African countries.
Malaria funding per case or death averted
Malaria funding allocated (cumulated over 2003–2009) was computed per case or death averted over 2004–2010 for each of the 49 countries outside sub-Saharan Africa. Each country’s time trend in case or death rates over 2004–2010 was estimated in a linear regression, and the predicted value for each of these years compared with case and death rates over 2000–2003 as the baseline, while adjusting for annual population growth. The four-year period 2000 to 2003 (rather than 2003 or 2004 alone) served as the baseline period, because in low-endemic countries outside Africa, ongoing malaria funding serves not only to reduce case and death burden to below 2004 levels, but in the first place to prevent a resurgence to even much higher case and death rates (as seen in 2000 and in the decades before) that would likely reappear if the control stopped.
Country-level programme funding per case or death averted were then summarized for three country groups (tertiles) as the median and interquartile range across the 16 or 17 countries in each group.
Over 2003 to 2009, funding from all sources combined increased from US$110 million to US$1.55 billion in sub-Saharan Africa (Figure 1a), and from US$207 million to US$620 million outside Africa (Figure 1b). Within sub-Saharan Africa, malaria funding from the Global Fund and other donors was concentrated in a common subset of countries, with half of total Global Fund funding going to only nine countries, and half of other-donor funding going to the same nine countries (Figure 1c). These nine countries were all in east and west Africa (Additional file 1), with stable high rates of malaria case incidence and mortality.
Domestic government funding, in contrast, was concentrated in countries of lower endemicity, with lower case and death rates, in the Americas, Caribbean and Southeast Asia (Figure 1b & d and Additional file 1). Among non-Africa countries, domestic funding increased from $174 million in 2003 to US$ 332 million in 2009 (Figure 1b). Within Africa, domestic funding increased more steeply, from US$ 48 million in 2003 to $125 million in 2009 (Figure 1a).
Insecticide-treated bed net coverage
Malaria case and death declines, by level of donor funding
Among the 16 countries with an intermediate level of donor malaria funding per person at risk, an overall slight decline in case and death rates was driven by the relatively high-burden countries: Indonesia, Myanmar and Yemen, where case and death rates were stable; and Afghanistan and Bangladesh, where case and death rates declined (Figure 3, blue lines).
Among the 16 countries with lowest total donor malaria support per person at risk (Figure 3, green lines), the overall case and death rate decline trends were dominated by India, which experienced a very slight decline. Among these countries, Pakistan showed a stable or fluctuating trend, whereas case and death rates declined in most Latin American countries including Brazil.
Malaria funding per case or death averted
Estimated cases and deaths prevented over 2004–2010 (relative to 2000–2003 baseline) per dollar total malaria programme funding over 2003–2009, 49 countries outside sub-Saharan Africa
Countries, outside sub-Saharan Africa
17 with highest donor funding per person at risk
16 with medium donor funding per person at risk
16 with lowest donor funding per person at risk
Cases prevented over 2004–2010, relative to 2000–3 rates (millions)
Deaths prevented over 2004–2010, relative to 2000–3 rates (thousands)
Malaria funding, millions US$ 2003-2009
All sources combined
2003-2009 all-source funding per case prevented, as median across countries
$ 78 (45−146)
$ 56 (31−260)
$ 5,749 (506−30,227)
2003-2009 all-source funding per death prevented, as median across countries
$ 57,654 (24,997−5,484,870)
$ 92,286 (23,391−1,560,418)
$ 3,903,107 (368,839− 19,627,442)
Per death prevented over 2004–2010, 2003–2009 funding averaged US$57,654 (24,997−5,484,870) in the 17 countries with highest donor funding per person at risk, US$92,286 (23,391−1,560,418) in the next 16 countries, and US$3,903,107 (368,839− 19,627,442) in the 16 countries with lowest donor malaria support per person at risk. The highest costs per death averted were estimated for countries with very few malaria deaths (Azerbaijan and Honduras in the highest-funding group; Democratic Republic of Korea, the Republic of Korea and Iraq in the medium-funding group; and Mexico and El Salvador in the lowest-funding group), or with an increase in malaria deaths (Timor-Leste and Venezuela in the highest-funding group; Indonesia in the medium-funding group, and Dominican Republic and Costa Rica in the lowest-funding group). The presented upper limits of the interquartile ranges (indicating the cost level that 75% of countries in a funding-level group are below), however illustrate the wide ranges in cost per death averted among all countries.
The synthesis of malaria programme funding and control progress data from countries worldwide confirms that global malaria donor funding is generally well targeted to the countries with highest malaria transmission and case and death rates. Higher donor funding per person at risk was also associated with greater increases in household ITN ownership among African countries, confirming similar observations made earlier [10, 15, 17, 21]. Outside Africa, increased donor funding was associated with larger proportional malaria case and death rate declines.
Outside Africa, all-source programme funding per case averted or death averted tended to be lower in the countries with higher donor malaria support per person at risk (Table 2). These gradients illustrate an overall effective targeting of global donor allocations to countries with highest return on malaria investments. Nevertheless, there was large variation among countries within each group in programme funding per case or death averted, with overlapping ranges across the three tertiles of countries. Apparently, donor allocations partially counterbalance the enormous differences among countries in levels of domestic funding per person at risk and per case or death averted (Figure 1c and d), but they do not completely turn around the cross-country imbalances so as to maximize the possible health impact for available global funding.
The presented ‘costs’ per case or death averted should not be considered as cost-effectiveness ratios, which are typically lower (more favourable) [22, 23], for three reasons. First, case/death levels averaged over year 2000−2003 served as the baseline against which cases and deaths averted were calculated; however, in reality, case and death rates in the non-African countries evaluated might well resurge to above 2000−2003 levels if malaria programme funding and control stopped altogether. Second, the time horizon for cases and deaths averted was limited to 2010, without including additional impact achieved over 2011–2012 from the – comparatively large – programme spending in 2009–2010. Third, total funding on all malaria services included case management and programme administration, rather than just the cost of any single intervention.
Although donor malaria funding is generally well targeted to the highest-need countries with lowest ITN coverage and highest case and death rates at baseline, there remain exceptions. As noted before [10, 24–26], donor funding per person at risk was very high in some small countries of relatively low malaria burden and high income, including Bhutan, Comoros, Laos, Suriname, and in Africa Sao Tome and Principe and Equatorial Guinea (both excluded from analyses), Gabon, Namibia and Swaziland. In contrast, Burkina Faso, the Democratic Republic of Congo, Mali, Cote d’Ivoire and Nigeria had surprisingly low donor malaria funding relative to their populations at risk.
A full mapping of malaria funding needs and gaps was beyond the scope of the current study, and would have to consider not only actual programme allocations but also countries’ domestic funding capacity. In addition, economies of scale will tend to lower costs per person reached in large-scale, nation-wide programmes in the highest-endemic countries, compared to settings with only focal malaria that require more expensive pre-elimination and elimination strategies . Also, effective progress in control does not necessarily mean that impact would be sustained after lowering the inputs – as experiences with malaria resurgence in Sri Lanka, Madagascar and other countries have shown. According to WHO estimates, overall global funding for malaria control falls short of the global need [3, 8, 9], and increasing overall malaria funding is equally important as optimizing funding allocations. Nevertheless, the large variation in funding per person at risk (Additional file 1) and the only moderately strong association between funding per case or death averted and level of national donor funding per person at risk (Table 2) suggest a scope for further enhancing value for money in international malaria financing, through more strategic allocation of available funding toward the highest-endemic countries with the highest continued need.
In 2011, the Global Fund revised its eligibility, prioritization and counterpart financing policy. From 2012 onwards all supported countries are required to make a minimum domestic government co-funding contribution, of a proportion increasing with country income and with the years of each grant [28, 29]. The increased counterpart financing requirement on upper-middle income countries should result in a gradual shift of portfolio allocations toward lower-income countries. This policy change therefore has the potential to facilitate better targeting of Global Fund funding to benefit countries with the highest continuing need, an approach also emphasized in the Global Fund’s 2012–2016 Strategy ‘Investing for impact’.
Uncertainties and potential inaccuracies in country ITN coverage and case and death trend estimates [20, 21, 31] limited the power to assess associations between funding and health impact. The methods for producing estimates of cases and deaths outside of Africa adjust the number of reported cases to take into account the proportion of cases that are not captured by a surveillance system. While helping to make numbers more comparable between countries, and filling gaps where data are missing, the estimates rely on relationships between variables that are uncertain, and draw upon data that may have been imprecisely measured, or measured in previous years and projected forward. Thus estimates of the number of malaria cases or deaths are accompanied by a large degree of uncertainty, and inferences concerning trends are less certain than those made directly from good quality surveillance data. In particular, the number of malaria deaths is estimated by using a fixed case fatality rate which does not take into account varying access to treatment. For sub-Saharan Africa, lack of data on malaria cases and deaths narrowed the analysis to household ownership of ITNs. Although a reasonable predictor of ITN usage [32, 33] and associated reductions in under-five mortality, malaria parasitaemia and anaemia [34–36], ownership of one or more ITNs is not a precise indicator of the extent to which universal protection for all household members is achieved.
A further limitation is incompleteness and varying quality of data on domestic government financing. Of the 90 malaria-endemic countries analysed, eight did not report domestic malaria funding to WHO for any of the years 2003 to 2009, and 25 countries did not report domestic funding in 2009. Under-reporting is plausible notably for domestic spending on malaria case management, which is typically not allocated specifically to the malaria programme but rather absorbed within districts’ overall health budgets. While donor funding is sometimes allocated predominantly to commodity needs of malaria programmes [10, 15, 21], domestic contributions may more often concern the infrastructure, staff and programme management . A recent assessment of global malaria funding over 2006 to 2010 found similar annual funding levels as this study for the Global Fund and other donors, but slightly higher domestic funding – the latter based on government budgets reported by grant recipients to the Global Fund, as opposed to the programme expenditures reported to WHO used here .
Because of these imperfections in both national funding and health outcome data, this study assessed their relationship only across groups of countries, and not at the level of individual countries. Importantly, whether in country groups or at the level of individual countries, ‘ecological’ correlations as found in the current observational analysis will not necessarily indicate a true causal impact of programme funding. Among several alternative explanations, programme funding may be associated with increased progress if donors’ funding allocation criteria would effectively prioritize those countries with best programme implementation capacity. Notably the Global Fund selects proposals for grants based on technical soundness and demonstrated effectiveness, followed by performance-based grant renewal . The current low per-person-at-risk donor in some countries in part reflects the challenges that these countries face with effective implementation owing to security concerns, civil strife, limited technical, managerial and strategic planning capacity. Re-allocating funding to such countries may not necessarily yield equally high returns on investment as observed in other countries.
Finally, the study did not consider allocative and technical efficiency in malaria programmes as determinants of progress in control. In reality, not only the funding amount, but also the appropriateness of its allocation across prevention, diagnosis and treatment services, and the − varying − efficiency in delivering these services  will influence the relations between funding and health outcome.
To refine these analyses will require improving country-level case and death trend estimates, based on the WHO’s new guidelines for scaling-up malaria diagnosis  and for malaria surveillance [39, 40], and the ongoing roll-out of parasitological diagnosis notably in African countries . On the financing tracking side, new standards are needed for reporting of national malaria programme financing, to improve quality, transparency, and completeness .
In conclusion, malaria programme financing from the Global Fund and other sources is associated with increased ITN coverage scale-up, a key determinant of malaria burden declines in Africa, and with larger proportional case and death rate declines among countries outside Africa. Achieving MDG6, WHA  and RBM targets globally will require accelerated case and death declines, through intensified scale-up of ITN distribution and other key prevention and treatment services. Outside Africa, programme funding per case or death prevented outside Africa tended to be lower in the countries that received higher donor funding per person at risk. The associations shown between funding and impact and the large variations in funding per person at risk suggest opportunities to advance malaria control and maximize the impact by increasing programme funding and strategically allocating available donor funds to countries with the highest continued need.
We thank Dr Brian Williams (SACEMA) for statistical advice, and Dr George Korah (Global Fund) for advise on interpreting National Malaria Program finance data.
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