Information gaps in HIV/AIDS resource tracking and priority setting. Tania Dmytraczenko Abt Associates / Partners for Health Reformplus
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1 Information gaps in HIV/AIDS resource tracking and priority setting Tania Dmytraczenko Abt Associates / Partners for Health Reformplus
2 Outline of presentation! Brief review of resource tracking approaches! Policy questions each answers! Methodology digest! Identified weaknesses! Cross-cutting observations! Future directions! Concluding remarks
3 Resource needs approach! What is the total amount of resources required to provide HIV/AIDS-related prevention and care given existing infrastructure?! Advocacy for resource mobilization! Funding decisions on the basis of! Burden of disease and financial need calculations! Expenditure goals and targets
4 Resource needs approach II! Estimates based on! Population in need of care! Coverage of HIV/AIDS services! Unit costs! Identified weakness! Existing infrastructure! Constant (in)efficiencies! No economies of scale! No demand-side constraints
5 Budget tracking approach! Advocacy for resource mobilization! Debate among stakeholders (e.g., NGOs and government)! Parliamentary requests! Figures derived from! Statistical reporting! Commitments
6 Budget tracking approach II! Identified weakness:! Distinguishing HIV/AIDS from STI allocations! Capturing HIV/AIDS activities within basic health and reproductive health allocations! No information on resource use
7 Expenditure tracking approach! Domestic policies on resource mobilization and allocation! Who finances health services and programs?! How much do they spend?! Where do their health funds go, i.e., what is the distribution among providers and ultimately among services provided?! Hospitals vs. ambulatory care facilities! Curative care vs. prevention programs! Who benefits from spending on health?! Socio-economic groups, gender, geographic distribution
8 Expenditure tracking approach II! Estimates based on! Actual disbursements! Allocation factors! Identified weakness! Time lag (t-2)! Domestic financial information systems! Financial management capacity
9 Cross cutting observations
10 Definitions matter I! Commitment vs. disbursements, e.g. Global Fund Source: Global Fund website
11 Definitions matter II! Disbursements by whom? Country DAC NHA subanalysis Percentage difference Kenya USD 61.3 M USD 58.6 M 4% Zambia USD 43.2 M USD 35.3 M 18% Source: Kenya and Zambia NHA reports, 2002; OECD.
12 Definitions matter III! Earmarked vs. total HIV/AIDS spending Donor 35% Public 6% Donor 34% Public 24% Other private 1% Household 59% Household 41% Source: Kenya NHA report, 2002
13 Future directions
14 Filling the gap: Bridging existing efforts! Triangulating DAC data with country data! Timing of disbursements! Definitional differences! Linking unit cost estimates with per capita expenditures! Regional extrapolations! Denominator selection
15 Filling the gap: Addressing unanswered questions! Macroeconomic effect! Sustainability! Additionality! Effectiveness of resource use Source: PHRplus analysis of Global Fund data
16 Macroeconomic effect Global Fund and PEPFAR funds relative to health expenditures 250,000, ,000, ,000, ,000,000 Public HE Private HE GF + PEPFAR 50,000,000 0 Malawi Mozambique Ethiopia Zambia Source: PHRplus analysis of Global Fund data
17 Sustainability! Over the long term: public? private? 60% Share of out-of-pocket expenditures 50% 40% 30% OOP (%) 20% 10% 0% Ghana Rwanda Burkina Faso Zambia Kenya Paraguay Source: SIDALAC and PHRplus
18 Effectiveness of resource use! Resource mobilization resource use Funding Estimated needs Source: OECD (2004) and Kaiser Family Foundation (2003)
19 Additionality 100% Rwanda Kenya Zambia 80% 60% 40% 20% 0% 5% 33% 21% 57% 19% 75% Public Donor Public Donor Public Donor HIV/AIDS General health Source: NHA reports Rwanda, Kenya and Zambia, 2002
20 Concluding remarks
21 Challenges ahead! Tracking resource use at the country level! Earmarked funds for HIV/AIDS! Public subsidies through the service delivery network! Linking to programmatic indicators! Building national systems to track performance! Timeliness trade offs
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