1 overview of health financing eap regional seminar on health financing bangkok, thailand, february...
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3 Demographic and Epidemiological TrendsTRANSCRIPT
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Overview of Health Overview of Health FinancingFinancing
EAP Regional Seminar on Health FinancingEAP Regional Seminar on Health FinancingBangkok, Thailand, February 2008Bangkok, Thailand, February 2008
Fadia Saadah, World BankFadia Saadah, World Bank
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Outline of PresentationOutline of Presentation• Demographic and epidemiological trends
• Health spending patterns
• Health financing functions
• Challenges/lessons
3
Demographic and Demographic and Epidemiological TrendsEpidemiological Trends
4
2020
Demographic Transition Underway: Working Age Demographic Transition Underway: Working Age and Elderly Populations Will Grow Rapidlyand Elderly Populations Will Grow Rapidly
2000
FEMALESMALES
Ages
Source: World Bank
FEMALESMALES
Ages
100000 80000 60000 40000 20000 0 20000 40000 60000 80000 100000
5
Future GDP Growth in EAP Looks RobustFuture GDP Growth in EAP Looks Robust
Source: World Bank 2007.
6
NCDs and Injuries Represent a Major NCDs and Injuries Represent a Major Share of BODShare of BOD
((Disease Burden Distributionby Select World Bank Region, 2001Disease Burden Distributionby Select World Bank Region, 2001))
9
37
6
272222
596576
53
87
66
118141314120
50
100
E. Asia/Pacific
Europe/ Central Asia
Latin America/Caribbean
M. East/ N. Africa
High-incomecountries
World
Communicable, maternal, perinatal, and nutritional conditionsNoncommunicable diseasesInjuries
Percent
Note: Numbers are rounded.Source: Disease Control Priorities in Developing Countries, second edition, 2006, Table 4.1
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Most EAP Countries Do Well on Child Mortality Most EAP Countries Do Well on Child Mortality Given Their Income and Health Spending LevelsGiven Their Income and Health Spending Levels
China
CambodiaLao PDR
PhilippinesThailand
Vietnam
IndonesiaMalaysia
Samoa
Abo
ve a
vera
geB
elow
ave
rage
Above average Below average-3-2
-10
12
3P
erfo
rman
ce re
lativ
e to
hea
lth s
pend
ing
-3 -2 -1 0 1 2 3Performance relative to income
Source: WDI
Child mortality relative to income & health spending, 2005
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But Maternal Mortality Results are More MixedBut Maternal Mortality Results are More Mixed
Cambodia
Malaysia
Philippines
ThailandSamoa
China
Indonesia
Lao PDR
Vietnam
050
010
0015
0020
00M
ater
nal m
orta
lity
rate
250 1000 5000 25000GDP per capita, US$
Source: WDI
Maternal mortality rate vs income, 2000
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Health Spending PatternsHealth Spending Patterns
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0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
East Asia andPacific
Eastern Europeand Central Asia
Latin Americaand the
Caribbean
Middle East andNorth Africa
South Asia Sub-SaharanAfrica
% o
f tot
al h
ealth
spen
ding
General revenues Social insurance OOP Other
Health Expenditures Across Regions, Health Expenditures Across Regions, by Source of Financing, 2005by Source of Financing, 2005
11
Public Health Expenditures by Source of Financing
12Source: Database of the Asia-Pacific National Health Accounts Network; data for recent years
Total Health Expenditures by Source of Financing
7.4
6.7
3.5
5.3
5.9
3.7
5.0
4.2
5.0
3.4
5.5
2.7
3.4
5.7
5.0
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Japan
Mongolia
Thailan
d
Hong K
ong SAR
Tonga
Malays
iaKorea
Sri Lank
a
Kyrgyz
stan
Philippines
China
Indones
ia
Banglad
esh
Nepal
Viet Nam
% o
f tot
al s
pend
ing
on h
ealth
0
1
2
3
4
5
6
7
8
(%) H
ealth
exp
endi
ture
as
a sh
are
of G
DP
)%( Public share )%( Private share Health as % of GDP
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Public Share of Total Health Spending is Public Share of Total Health Spending is Generally LowGenerally Low
ChinaIndonesia
Malaysia
Thailand
VietnamCambodia
Lao PDR
Philippines
Samoa
2040
6080
100
Gov
ernm
ent h
ealth
spe
ndin
g )%
of t
otal
(
250 1000 5000 25000GDP per capita, US$
Source: WDINote: log scale
Government health spending vs income, 2005
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Out of Pocket Spending as a Share of Total Health Spending Out of Pocket Spending as a Share of Total Health Spending is High Relative to Other Comparable Income Countriesis High Relative to Other Comparable Income Countries
China
Malaysia
Philippines
Thailand
Vietnam
Indonesia
CambodiaLao PDR
Samoa2040
6080
100
Out
-of-p
ocke
t hea
lth s
pend
ing
)% o
f tot
al(
250 1000 5000 25000GDP per capita, US$
Source: WDINote: log scale
Out-of-pocket health spending vs income, 2005
15
Catastrophic impact of health spending
0.00% 1.00% 2.00% 3.00% 4.00% 5.00% 6.00% 7.00% 8.00% 9.00% 10.00%
MALAYSIA
SRI LANKA
THAILAND
INDONESIA
PHILIPPINES
TAIWAN
HONG KONG
NEPAL
INDIA
KOREA
CHINA
VIETNAM
BANGLADESH
% households with medical spending greater than 15% of household consumption
Source: EQUITAP studySource: EQUITAP study
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Viet
Thai
Taiw
SLK
PhilNep
Kor
Indo
Indi
HK
Chin
Ban
0.00%
2.00%
4.00%
6.00%
8.00%
10.00%
12.00%
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
OOP share of financing
OO
P/To
tal e
xp >
15%
Large OOP Share is Related to High Large OOP Share is Related to High Incidence of Catastrophic Health SpendingIncidence of Catastrophic Health Spending
Source: Equitap studySource: Equitap study
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Health Financing Health Financing FunctionsFunctions
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Health Financing Functions and ObjectivesHealth Financing Functions and Objectives
Functions Objectives
Revenue collection
Pooling
Purchasing
raise sufficient and sustainable revenues in an efficient and equitable manner to provide individuals with a basic package of essential services which improves health outcomes and provides financial protection and consumer satisfaction
manage these revenues to equitably and efficiently create insurance pools
assure the purchase of health services in an allocatively and technically efficient manner
Source: Gottret and Schieber, Health Financing Revisited, World Bank 2006
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Equity – Remains an Challenge in EAP (1)Equity – Remains an Challenge in EAP (1)Poorest quintiles' shares public health subsidy
0%
10%
20%
30%
40%
50%household expenditure
public health subsidy
Source: Equitap studySource: Equitap study
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Equity – Remains an Challenge in EAP Equity – Remains an Challenge in EAP
Richest quintiles' shares public health subsidy
0%
10%
20%
30%
40%
50%
household expenditure
public health subsidy
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Indonesia - Wide Variation in Per Capita Health Spending Across Provinces
0
50
100
150
200
250
300
350
Maluku UtaraBantenLampungSulawesi TenggarJawa BaratSulawesi UtaraNusa Tenggara BaJawa TimurSumatra SelatanJawa TengahKalimantan BaratBengkuluYogyakartaBangka BelitungSulawesi SelatanNanggroe Aceh DaSumatra UtaraJambiKalimantan SelatRiauMalukuNusa Tenggara TiBaliSulawesi TengahSumatra BaratKalimantan TengaPapuaGorontaloKalimantan Timur
Thou
sand
Rp.
Maximum Minimum Mean
Source: World Bank 2006Source: World Bank 2006
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What do We Mean by Risk Pooling?What do We Mean by Risk Pooling?
Age
Res
ourc
e e n
dow
men
t
Health risk
Res
ourc
e e n
dow
men
t
Cross-subsidy from low-risk to high-risk
(risk subsidy)
Low risk
High risk
$
$
Income
Res
ourc
e e n
dow
men
t
Cross-subsidy fromrich to poor
(equity subsidy)
PoorRich
$
$
Cross subsidy from productive to non-productive
part of the life cycle
Productive
Non-produc
tive
$
$
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Fragmentation in Health Financing• In many countries in the region, health financing is fragmented• Different financing mechanisms for different groups or sectors of the
economy– Thailand: Civil Service Medical Scheme and Social Security Scheme for
formal sector; UC scheme for informal sector– China: Basic Medical Insurance )BMI( for urban formal sector; New
Cooperative Medical Scheme )NCMS( for rural sector– Laos: Civil Service and Social Security Schemes for formal sector; CBHI
and other schemes for informal sector• Fragmentation can also be geographic
– China: Both BMI and NCMS are based on city- or county-wide risk pools• Several countries considering health financing reforms introducing
new sources of financing and management mechanisms– fragmentation issue needs to be considered early in design phase
25
Universal HI : Thailand
UC CSMBS SSSSSSContribution
2001
NHSO MOF Comptroller SSOSSO
CapitationDRG FFS
CapitationDRG
Public Private Providers
48 mil. 7 mil. 7 mil.
Insurees, Insurees,
Right holderRight holderss
TAX1990
Services
>50 yrs.
26
Why is Fragmentation a Problem?
• Administrative inefficiency– Duplication of tasks and dispersion of scarce capacity
• Lack of portability reduced labor market mobility
• Difficult to implement cross-subsidization and achieve equity goals
• Reduced ‘purchasing power’ and difficult to create coherent incentives for providers – E.g. different payment systems / rates for different
schemes
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What can be done about fragmentation
• Joint / coordinated management systems and provider payment arrangements– On the agenda in many countries, but institutional and
political barriers• Unification of schemes
– E.g. integration of health insurance funds in South Korea in 2000
– Politically challenging• Risk-pooling at higher geographic level
– Trend towards risk pooling at provincial level for pensions in China; not yet for health
30
Financing Challenges/LessonsFinancing Challenges/Lessons
• There is no one ‘right’ financing model.
• System financing must be sustainable
• LICs face difficult tradeoffs between financing essential services and providing financial risk protection -- prioritization is critical.
• Important to address absorptive capacity and ability to finance from domestic resources future recurrent and capital costs.
31
Financing Challenges/LessonsFinancing Challenges/Lessons
• Many countries trying to achieve universal coverage, reduce fragmentation, and improve efficiency. However, key is the impact; specific model is of secondary importance.
• Health Financing models need to take into account the level of income, rate of growth and institutional and administrative capacity.
• Health Financing reforms need to pay great attention to political economy dimension also key.
• Again, models need to be tailored to individual countries
33
Financing Decisions Involve Difficult Trade-Financing Decisions Involve Difficult Trade-offsoffs
Efficiency
EquitySustainability
Affordability
Political Criteria
Health Outcomes
Financial Protection
Consumer Satisfaction
34
Key Messages• Macroeconomic situation provides good
opportunity to increase financial protection and think about health financing reforms
• Increasing role of private sector; models need to take that into account; ensure coordination and governance
• Need to increase efficiency in spending in the region/Address fragmentation