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    RETA-6515 REGIMPACT OF MATERNAL AND CHILD HEALTHPRIVATE EXPENDITURE ON POVERTY AND

    INEQUITYProject Findings

    Ravi P. Rannan-Eliya

    Asian Development BankManila

    6 November 2012

    Disclaimer: The views expressed in this paper/presentation are the views of the author and do not

    necessarily reflect the views or policies of the Asian Development Bank (ADB), or its Board of

    Governors, or the governments they represent. ADB does not guarantee the accuracy of the dataincluded in this paper and accepts no responsibility for any consequence of their use. Terminology

    used may not necessarily be consistent with ADB official terms.

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    Background

    Coogee Beach Group

    Concerns over lack of attention to challenges in reaching MDGs 4

    and 5 within Asia-Pacific region

    Potential impact and burden of out-of-pocket expenditures on

    access and use of MNCH services

    Parallel initiatives led by ADB and AusAID

    ADB RETA-6515

    AusAID/Unicef MNCH Investment Cases

    AusAID ADRA grant on inequities in access/OOPE in Asia

    1

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    RETA-6515 Questions

    What evidence is there on the impacts of MNCH OOPE on

    households in Asia-Pacific countries?

    How much do households spend on MNCH OOPE in selected

    Asia-Pacific DMCs? and what is its impact?

    What are the OOPE costs incurred by families in accessinggovernment health services, and what are the costs and

    expenditures on MNCH services in Bangladesh?

    2

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    RETA-6515 Components

    Global/Regional

    Systematic literature review of economic burden on household of

    MNCH OOPE

    Regional Inventory of available household survey data resources

    Analysis of household expenditure and utilization surveys in 6

    DMCs

    Bangladesh Cost study of MOHFW healthcare facilities

    Patient exit survey of OOPE costs incurred at MOHFW facilities

    Analysis of MNCH costs and financing

    3

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    Systematic review of household impact ofMNCH OOPE

    Methodology

    Systematic review for 1990-2010, building on earlier WHO review

    127 studies identified (64 from Asia-Pacific)

    Review questions1. What are the main direct/indirect costs to households from MNCH care and

    their relative importance?

    2. What is the magnitude of MNCH care costs relative to other household health

    and non-health expenditures?

    3. How and to what extent may MNCH care expenditures have an impoverishing

    effect on individuals and households respectively?4. What coping strategies are available to women, households and how effective

    are they?

    5. Does the financial burden associated with MNCH fall disproportionately on the

    poor and other vulnerable groups?

    6. How well does the literature cover the experience of the region?

    4

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    SYSTEMATIC REVIEW OF LITERATURE ONHOUSEHOLD IMPACTS OF MNCH OOPE

    Component 1

    5

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    Systematic review of household impact ofMNCH OOPE

    Findings

    Substantial increase globally in published work since 2006

    Regional coverage appropriate given MNCH burden, but within

    region coverage is poor (AFG, LAO, PAK, PNG)

    Limited comparability of studies owing to lack of consistent

    definition and inclusion of costs

    Indirect costs rarely studied, but can be large

    MNCH OOPE costs can be very large in relation to household

    budgets (catastrophic/impoverishing(, especially where public

    expenditures are low

    Largest single cost, especially in Asia, is the purchase of medicinesand supplies associated with accessing formal care

    OOPE costs highest for maternal care and surgery

    6

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    INVENTORY OF AVAILABLE HOUSEHOLDSURVEY RESOURCES IN 16 DMCS

    Component 2

    7

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    Assessment of available household surveydata

    Findings

    Household surveys in 16 DMCs inventoried (N=130) and

    examined for suitability to assess MNCH OOPE

    Most surveys inadequate to estimate MNCH OOPE burdens

    Failure to ask about cause of illness/reason for treatment in most surveys No standardization and poor design/classification when asked

    Sample sizes too small to separate out MNCH spending

    Non-sampling biases make estimates of the level and share of MNCH OOPE

    unreliable in surveys that fail to use detailed household budget module

    Implications Current survey platforms grossly inadequate for addressing calls

    to track domestic MNCH resource flows

    Need for regional effort to improve comparability and bring

    question design up to best practices

    8

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    ANALYSIS OF HOUSEHOLD EXPENDITUREAND UTILIZATION SURVEYS IN 6 DMCS

    Component 3

    9

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    Country analyses of household OOPE

    Country coverage

    Bangladesh (HIES 2000,2005, 2010)

    Cambodia (CSES 2007)

    Laos (LECS 2007-08)

    Pakistan (PSLMS 2005-06,CWIQ 2006-07)

    PNG (HIES 1996, HIES 2010)

    Timor Leste (TSLS 2001,2007)

    To be released as series of

    ADB policy briefs

    10

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    Country analyses of household OOPE

    Analyses

    Inequalities in illness

    Inequalities in healthcare utilization and factors discouraging care

    Inequalities in OOPE on all, and mothers/children where relevant

    Impoverishing and catastrophic impacts of OOPE

    Key findings

    Distinct differences between countries in impact and importance of

    MNCH OOPE as barrier to care

    Large variations in level of impoverishment due to OOPE

    OOPE a significant financial barrier in some countries, whilst

    distance and physical access more important in others

    Spending dominated by richest households and medicines,

    suggesting that modest public investments can have large impacts

    11

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    TLS: Catastrophic impacts of OOPE close tozero

    12

    0%

    2%

    4%

    6%

    8%

    10%

    12%

    14%

    16%

    Pe

    rcentage(%)ofho

    useholdsexceedin

    g

    catastrophicthreshold

    10% of household budget

    25% of household budget

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    TLS: Overall use of services very low

    0.9

    1.5

    1.7

    1.8

    2.0

    2.1

    2.9

    3.9

    4.2

    4.3

    4.9

    5.2

    5.7

    5.9

    6.4

    6.7

    9.3

    10.5

    13.0

    0246810121416

    Papua New Guinea

    Solomon Islands

    Timor Leste

    China

    Viet Nam

    Thailand

    Fiji

    Brunei Darussalam

    Malaysia

    New Zealand

    Sri Lanka

    Asia-18

    Mongolia

    Macao

    Australia

    OECD

    Singapore

    Hong Kong

    Korea

    Japan

    Outpatient visits to doctors/capita/year

    29

    36

    38

    60

    75

    79

    89

    102

    107

    109

    113

    120

    120

    137

    140

    145

    162

    163

    228

    234

    0 50 100 150 200 250 300

    Timor Leste

    Papua New Guinea

    Bangladesh

    China

    Solomon Islands

    Macao

    Fiji

    Singapore

    Japan

    Malaysia

    Brunei Darussalam

    Viet Nam

    Asia-19

    Thailand

    New Zealand

    OECD

    Korea

    Australia

    Mongolia

    Hong Kong

    Sri Lanka

    Inpatient admissions/1000 capita/year

    13

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    TLS: Public outpatient care free in practicefor poorest

    1%0%

    1%1%

    1%

    0%

    3%

    7%

    15%

    18%

    1%0%

    2% 2%

    8%

    0%

    2%

    4%

    6%

    8%

    10%

    12%

    14%

    16%

    18%

    20%

    poorest 2nd poorest middle 2nd richest richest

    Percentage of public sector outpatients reporting costs by type ofcosts (%)

    Fees Medicines Travel

    14

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    TLS: But public inpatient care often not freebecause of stock-outs

    54%

    25%

    44%

    21%

    41%

    62%

    89% 89%

    74%

    87%

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    poorest 2nd poorest middle 2nd richest richest

    Percentage of public sector inpatients reporting costs by type ofcosts (%)

    Treatment Travel

    15

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    TLS: Physical access not OOPE critical

    77%

    59%

    58%

    53%

    42%

    0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

    poorest

    2nd poorest

    middle

    2nd richest

    richest

    Reasons for not using healthcare when having serious illness byincome level (%)

    Facility too far No transport Healthcare too expensive

    Transport too expensive Health worker unfriendly Health workers not present

    Healthcare not good quality Other

    16

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    TLS: Simulation results on impact ofdistance on healthcare use

    55%

    60%

    65%

    70%

    0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6Probabilityofobtaininghealthcarewhensick

    Time to nearest public healthcare facilty (hours)

    Probability of seeking healthcare when sick: typical ruralpatient (simulation estimates)

    17

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    BGD: Inequalities in recognizing illnessimportant, but improving

    0

    5

    10

    15

    20

    25

    30

    35

    40

    Poorest Q2 Q3 Q4 Richest

    %

    ofc

    hildrenreportedsickinthepast

    30days

    2000

    2005

    2010

    18

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    BGD: Reducing inequality in healthcare useby children

    19

    0

    5

    10

    15

    20

    25

    30

    35

    40

    Poorest Q2 Q3 Q4 Richest

    %

    ofc

    hildrentakenfor

    treatment

    2000

    2005

    2010

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    BGD: Cost most important factor for poor,quality for non-poor

    20

    0

    10

    20

    30

    40

    50

    60

    70

    80

    90

    100

    2000

    2005

    2010

    2000

    2005

    2010

    2000

    2005

    2010

    2000

    2005

    2010

    2000

    2005

    2010

    Poorest Q2 Q3 Q4 Richest

    %

    ofchildrennots

    eekingcare

    Treatment too expensive Distance too far Other

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    BGD: Poor rely on pharmacies and less onpublic/private medical care

    21

    0

    10

    20

    30

    4050

    60

    70

    80

    90

    100

    Poorest Q2 Q3 Q4 Richest Rural Urban All

    Quintile Sector

    %

    ofindividuals

    seekingcare

    Government Modern allopathic Private modern allopathic

    Traditional/homepathic Pharmacy

    NGO Other

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    BGD: Government treatment not cheaperthan private, largely because of medicines

    22

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    MNCH EXPENDITURES AND OOPE COSTSIN BANGLADESH

    Component 4

    23

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    RETA-6515 Bangladesh Component

    Collaboration with MOHFW Health Economics Unit (HEU)

    Activities

    Nationwide government facility cost study

    Nationally representative sample of 135 MOHFW facilities from tertiary

    teaching facilities to union subcentres Stratification designed to separate out maternal voucher facilities

    Designed to produce national cost reference dataset, and estimates

    and analysis of MNCH costs

    Designed to be comparable with earlier 1997 facility cost study

    Exit survey of patients at MOHFW facilities

    Exit interviews of MOHFW outpatients and inpatients about costs

    Analysis of MNCH financing flows

    Total public and private financing flows, including expenditures at

    pharmacies

    24

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    RETA-6515 Bangladesh Facility Cost Survey

    High levels of patient throughput at all levels in MOHFW delivery

    system

    Bed occupancy rates ~80 - >100% in main facilities

    Reduction in efficiency variations between facilities

    Result of increased patient throughput

    Declining ALOS across all facilities since 1997 (MCHs 10 > 4 days)

    Evidence indicates that quality was maintained, but large increase

    in Caesarian Section Rates

    Reductions in real units of service delivery

    Expansions in service delivery funded mainly through efficiency

    gains

    25

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    RETA-6515 Bangladesh Facility Cost SurveyLarge improvements in technical efficiency 1998-2010

    26

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    RETA-6515 Bangladesh Facility Cost SurveyChanges in costs and efficiencies, UHCs 1998-2010

    Indicators 1997 2010

    Inputs

    Total recurrent expenditures (Taka million) 6.28 18.23

    Medicines expenditures (Taka million) 0.27 2.0

    Hospital beds 31.7 34.8

    Doctors 4.3 6.2

    Nurses 6.3 9.5

    Outputs

    Admissions/year 2,347 4,043

    Outpatients/year 50,228 81,431

    Inpatient efficiency indicators

    Bed-turnover rate (annual) 74 119

    Bed occupancy rate (%) 75 90ALOS (days) 3.9 2.8

    Unit costs

    Admissions (Taka) 1,938 1,962

    Outpatients (Taka) 63 79

    Note: Estimates for 1997 from FES 1998 study, and for 2010 from FES 2011. Statistics are weighted means.

    27

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    RETA-6515 Bangladesh Patient Exit Survey

    Exit survey of patients at MOHFW facility sample 2,080 inpatients, 3,080 outpatients

    Oversampling of MNCH patients

    Questions on basic demographics, costs incurred and to whom,

    travel costs, asset module to estimate SES

    Main costs faced

    Travel costs

    Almost all patients, and higher for pregnant mothers

    Official fees

    Low, but much higher for pregnant mothers

    Informal payments

    Incidence much lower than anticipated (1-9%), but one third of mothers

    Purchase of medicines and supplies

    Largest and most frequent costs (50% of outpatients, >90% of

    inpatients)

    28

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    RETA-6515 Bangladesh Facility Cost SurveyLarge increases in childbirth deliveries at maternal voucher

    facilities

    29

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    RETA-6515 Bangladesh Patient Exit Survey

    Access by poor Utilization highly pro-rich in all types of facilities and for all types of

    care

    Catastrophic expenditures significantly higher for mothers

    Impact of maternal voucher DSF schemes

    Utilization

    Substantial increases in childbirth in DSF facilities, but greatest in

    universal DSF schemes

    Universal DSF facilities also have large increases in overall utilization

    No change in income inequality of use

    OOPE costs

    No impact on reported OOPE costs, but DSF patients receive

    retroactive cash payments

    DSF facilities have modest increase in operating budgets

    But substantial increases in operating efficiencies and unit costs at

    universal DSF facilities

    30

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    RETA-6515 Bangladesh MNCH FinancingFlows Pharmacy expenditures

    0

    500,000

    1,000,000

    1,500,000

    2,000,000

    2,500,000

    3,000,000

    3,500,000

    4,000,000

    0

    1-4

    5-9

    10-14

    15-19

    20-24

    25-29

    30-34

    35-39

    40-44

    45-49

    50-54

    55-59

    60-64

    65-69

    70-74

    75-79

    80-84

    85-89

    90-94

    95+

    Acute Respiratory Infections Benign Neoplasms Cardiovascular Disease

    Chronic Respiratory Disease Congenital Anomalies Diabetes Mellitus

    Disease of the Digestive System Endocrine & Metabolic Disorders Genitourinary Diseases

    III-defined conditions & other Contacts Infecticious & Parasitic Diseases Injuries

    Malignant Neoplasms Maternal Conditions Mental Disorders

    Musculoskeletal Disorders Nervous System and Sense Organ Disorders Nutritional Deficiencies

    Oral Health Other Anaemias and Blood/Immune Disorder Skin Diseases

    32

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    RETA-6515 Bangladesh MNCH FinancingFlows Pharmacy expenditures

    33

    Figure 1: Expenditure on MNCH care by major types of care, Bangladesh 2006/07

    59%

    27%

    14%

    Children (

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    RETA-6515 Bangladesh MNCH FinancingFlows Pharmacy expenditures

    34

    Figure 1: Sources of financing of MNCH care and its key components, Bangladesh 2006/07

    26%

    24%

    47%

    28%

    0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

    Children (

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    RETA-6515 Bangladesh Findings

    Public financing covers only one third of MNCH costs Inadequate funding of medicines at MOHFW facilities leads to

    high OOPE costs for public sector patients and discourages use

    by poor

    Evidence that DSF schemes improved access overall by

    reducing financial barriers, but benefits still partial Evidence that improving access to MOHFW facilities leads to

    increasing efficiencies

    35

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    Conclusions

    Financial barriers and costs important in many DMCs facing

    challenges in improving MNCH outcomes

    Large catastrophic impacts, especially for childbirth

    Costs often associated with lack of supplies/medicines at

    government facilities

    Other barriers also important in some DMCs

    Physical access an issue in TLS, LAO, PNG

    Evidence that effciency gains and marginal modest investments

    can make a difference to acces