Health Financing in Africa: More Money for Health or Better Health For the Money?
March 8 , 20 10
AGNES SOUCAT,MD,MPH,PH.D
LEAD ECONOMIST ADVISOR HEALTH NUTRITION POPULATION AFRICA
WORLD BANK
Harmonization For Health in Africa
Health Financing in Africa: More Money for Health or Better Health - - PowerPoint PPT Presentation
Health Financing in Africa: More Money for Health or Better Health For the Money? March 8 , 20 10 AGNES SOUCAT,MD,MPH,PH.D LEAD ECONOMIST ADVISOR HEALTH NUTRITION POPULATION AFRICA WORLD BANK Harmonization For Health in Africa OUTLINE
AGNES SOUCAT,MD,MPH,PH.D
LEAD ECONOMIST ADVISOR HEALTH NUTRITION POPULATION AFRICA
WORLD BANK
Harmonization For Health in Africa
Harm onization For Health in Africa
Harm onization For Health in Africa
Harm onization For Health in Africa
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150 500 900 45
100 200 300 400 500 600 700 800 900 1000
East Asia & Pacific South Asia Sub‐Saharan Africa China Per 100,000 live births 2007
Source: World Development Indicators
Harm onization For Health in Africa
Harm onization For Health in Africa
Harm onization For Health in Africa
Harm onization For Health in Africa
External aid as % of total health spending (2002)
2 4 6 8 10 12 14 16 18 20 East Asia & Pacific Eastern Europe & Central Asia Latin America & the Caribbean Middle East & North Africa South Asia Sub-Saharan Africa
Region
Percent of total health expenditure
Harm onization For Health in Africa
The MDGs horizon is six years away: what are the
The health sector does not produce results. Why is
Some countries give very little priority to
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Harm onization For Health in Africa
Fragmentation and donors’processes disconnected from
Planning and Budgeting not based on evidence and
Public money benefits richer groups Public Financial Management frontline providers do not
Post colonial civil service models reach their limits.
Harm onization For Health in Africa
Source: Rwanda 2005: results from the demographic and health survey. 2008. Studies in family planning, 39(2), pp. 147-152.
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Shortage of human resources for health services No cash resources in health facilities Low levels of productivity and motivation among
Low user satisfaction & poor quality of service leading
NATIONAL GOVERNMENT
LOCAL GOVERNMENT
AUTONOMOUS FACILITIES PROVIDERS Clients / Citizens
VOICE CLIENT POWER
Performance CONTRACTS
COMMUNITY HEALTH WORKERS PROVIDERS COMMUNITY HEALTH INSURANCES Mutuelles COMMUNITY GOVERNANCE Umushyikirano, Citizen Report Cards, Ombusdman
PERFORMANCE BASED, CASH AND IN KIND INVESTMENT INPUT SUBSIDIES TRANSFERS
Under five mortality trends with MDG target for 2015
50 100 150 200 250 1999 2001 2003 2005 2007 2009 2011 2013 2015
U5MR per 1,000
1990 level MDG target for 2015 Observed Trends since 1998 Trends required to reach the 2015 target
Under five mortality trends by income quintile (2005-2007)
211 195 170 204 122 161 149 132 141 84 50 100 150 200 250 Poorest Quintile 2 Quintile 3 Quintile 4 Richest U5M R per 1,000
DHS 2005 DHS 2007
Source: DHS 2005 and 2007.
Harm onization For Health in Africa
10 20 30 40 50 60 70 80 90 100 % delivered in a health facility TOTAL DPT3 (%) Currently Using any modern FP method (%) % U5 who slept under an ITN the past night % 2000 2007
Trends in assistance at delivery : Years 2000, 2005, 2007. Percentage (%) of women delivered by a health professional
Fiscal and Financial Decentralization
10,000,000,000 20,000,000,000 30,000,000,000 40,000,000,000 50,000,000,000 60,000,000,000 70,000,000,000 Disbursed 2002 Disbursed 2003 Disbursed 2004 Disbursed 2005 Budget 2006 Projected 2007 Year A m o u n t i n R W F Transfers to Districts CDF Transfers to Provinces
Source: Public Expenditures Review Rwanda; 2005
Financing has m ore than tripled in four years (going from USD 7.5 to 30 .3 m illions, of which the PBF has grown m ore than tenfold from USD 0 .8 to 8 .9 m illions) Source: Public Expenditures Review Rwanda; 2005
Harm onization For Health in Africa
Micro-Insurance model with two levels of re-insurance funds Tax subsidy and crossusbidy from formal sector insurance Rapid increase in enrollment from 7% in 2003 to 91% in 2008 Mutuelle enrollment significantly improves access to health care at all
income levels, including the poorest – and reduces inequality in access, particularly among the top four quintiles.
Mutuelle enrollment significantly reduces the risk of catastrophic
health expenditures.
Proportion of individuals enrolled in health insurance
10 20 30 40 50 60 70 80 90 2002 2003 2004 2005 2006 2007 2008 %
Source: MOH Rwanda; 2005 EICV 2005
DHS 2005 8 93 35 27 96 77 11 97 42
10 20 30 40 50 60 70 80 90 100
Use of contraceptives, 15-49 years At least one ANC Delivery assisted by skilled professional % use of reproductive health services None RAMA Health mutuelle
Harm onization For Health in Africa
Focus on maternal and child health as well as communicable
diseases (MDGs 4 & 5)
Increase quantity and quality of health services provided Increase health worker motivation
Operates through contracts between
Government Health facilities providing services
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Harm onization For Health in Africa
Table 1: Output Indicators (U’s) and Unit Payments for PBF Formula
OUTPUT INDICATORS Amount paid per unit (US$) Visit Indicators: Number of … 1 curative care visits 0.18 2 first prenatal care visits 0.09 3 women who completed 4 prenatal care visits 0.37 4 first time family planning visits (new contraceptive users) 1.83 5 contraceptive resupply visits 0.18 6 deliveries in the facility 4.59 7 child (0 - 59 months) preventive care visits 0.18 Content of care indicators: Number of … 8 women who received tetanus vaccine during prenatal care 0.46 9 women who received malaria prophylaxis during prenatal care 0.46 10 at risk pregnancies referred to hospital for delivery 1.83 11 emergency transfers to hospital for obstetric care 4.59 12 children who completed vaccinations (child preventive care) 0.92 13 malnourished children referred for treatment 1.83 14
1.83
Harm onization For Health in Africa
36.3 49.7 34.9 55.6
30.0 40.0 50.0 60.0 Baseline (2006) Follow up (2008) Proportion of of institutional deliveries
Control facilities Treatment (PBF facilities)
7.3 % increase due to PBF
31
Harm onization For Health in Africa ‐0.10
‐0.13 0.15 ‐0.15 ‐0.10 ‐0.05 0.00 0.05 0.10 0.15 0.20 Baseline (2006) Follow up (2008) Standardized Prenatal effort score
Control facilities Treatment (PBF facilities)
15 % Standard deviation increase due to PBF
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Harm onization For Health in Africa
Harm onization For Health in Africa
SSA Countries require increased and better allocated
Most resources are to come from countries’
need for domestic advocacy to raise attention to national budgeting
processes
Need to channel private spending into risk pool
Importance for external aid to be catalytic: need to focus
Harm onization For Health in Africa
Patient Patient Out Out-
Pocket Social Social Insur Insur Gov Gov’ ’t t Budget Budget Gov Gov’ ’t t Budget Budget Social Social Insur Insur Patient Out Patient Out-
Pocket Priv Priv. . insur insur
Source: Modified from A. Maeda
Community Community Financing Financing
Patient Out Patient Out-
Government Government Budget/MOH Budget/MOH
Harm onization For Health in Africa
Harm onization For Health in Africa
Purchasing of results and outputs replacing input based financing Promising results in Afghanistan, Burundi, DRC, India, Haiti, Nepal,
Zambia
Adopted and initiated in Benin, Ghana, Eritrea, Ethiopia, Scaled up in Rwanda and positive results from rigorous Impact
Evaluation
Harm onization For Health in Africa
With the MDGs finish line in view, a strong dialogue
Dialogue can be centered around the production of
Both supply and demand side financing need to be
Some hard issues need to be tackled: budget reform, a
Harm onization For Health in Africa
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