Estimating Universal Health coverage

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Estimating Universal Health coverage Dr. N. Devadasan, Institute of Public Health, Bangalore, India

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Estimating Universal Health coverage. Dr. N. Devadasan, Institute of Public Health, Bangalore, India. UHC. Universal health coverage ? Universal health care ?. - PowerPoint PPT Presentation

Transcript of Estimating Universal Health coverage

Page 1: Estimating Universal Health coverage

Estimating Universal Health coverage

Dr. N. Devadasan,Institute of Public Health,

Bangalore, India

Page 2: Estimating Universal Health coverage

Presentation at NHSRC 2

UHC

• Universal health coverage ?

• Universal health care ?

Ensuring that ALL people can use the health

services they need of sufficient quality to be

effective, while also ensuring that the use of

services do not expose the use to financial

hardship 3/01/2013

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Coverage

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Why estimate?

• UHC is about moving from point A to point B

• We need to know where we are currently

• Point B is usually 100% coverage

• We need to develop the strategy to reach Point B

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WHR 2010

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What to estimate

• Financial

• Population

• Services – Quantitative– Qualitative

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Indicators for financial coverageIndicator Source of data% of population who are insured IRDA reports% of population who are covered under a pooled fund

Census

THE as a % of GDP NHAOOP as a % of THE NHAIncidence & Intensity of CHE NSSO Incidence & Intensity of Impoverishment

NSSO

% of patients who make OOP ? NSSO, NFHS, Simple studies

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Examples …

Thailand Philipines Indonesia Vietnam Cambodia Laos Malaysia0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Proportion of insured among select SE Asian Countries

UninsuredInsured

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Examples …

Thailand Philipines Indonesia Vietnam Cambodia Laos Malaysia0%

10%

20%

30%

40%

50%

60%

70%

19%

55%

30%

55%60% 62%

41%

OOP payments as a proportion of THE

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Population coverageIndicator Source of dataQuintiles / MPCE National surveysPopulation Attributable risk National surveysConcentration index National surveysSC / ST ??

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Examples

Ailments treated - urban Institutional delivery Admissions*0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

78%

34%25%

95%

58%

91%

Lowest Highest

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Indicators for service coverage

Ideally one needs to define the essential health package

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Indicators for service coverage …

• ILO’s access deficit method

• MDG countdown method

• SARA method

• Composite coverage index

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Indicators for service coverage - Quantitative

Indicator Source of data% of antenatals with full ANC NFHS, DLHS, CEC% of institutional deliveries NFHS, DLHS, CEC% of unmet FP needs NFHS, DLHS% of children fully immunised NFHS, DLHS, CEC% of children who received ORT NFHS% of children who received ARI Rx NFHSTB Case detection rate RNTCP reports% of children who slept under a ITN ?

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Indicators for service coverage - Quantitative

Indicator Source of dataOP contact rate NSSO 60th roundIP admission rate NSSO 60th round% of diabetics on regular treatment ?% of women screened for CA Cervix ?% of households with access to toilets

Census

% of households with access to potable water in their house

Census

?

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Indicators for service coverage – Quality of care

Indicator Source of dataDrop out rate – ANCDrop out rate – ImmunisationDrop out rate – TBInfection rate in hospitalsDrop out rate – IUCD ?

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Service coverage: Examples …

Full ANC Institutional delivery Full immunisation Unmet FP needs0%

10%

20%

30%

40%

50%

60%

70%

80%

Annual health survey 2012. X state3/01/2013

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Service coverage: Examples..

Treated for ARI % of ailments treated

Admission rate* TB case detection rate

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

DLHS, NSSO 60th Round, RNTCP 2012. India 3/01/2013

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What to do

• All indicators?

• A single composite indicator?

• A mixture?

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Services + Population

Drinking water at home

Full ANC

Full immunisation

Met FP needsAilment treated

Institutional delivery rate

Admission rate*

0%

25%

50%

75%

100%

LowestHighest

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Services + OOP

Drinking water at home

Full ANC

Full immunisation

Met FP needsAilment treated

Institutional delivery rate

Admission rate*

0%

25%

50%

75%

100%

Lowest

OOP

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Financial coverage

Incidence of OOP

Incidence of CHE

Incidence of impoverishment

OOP as a % of THE 0%

25%

50%

75%

100%

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Fina

ncia

l cov

erag

e

Service co

verageCURRENT STATUS

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Limitations

• Agreement on package

• Agreement on indicators

• Availability of disaggregated data

• Validation of this tool

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Disclaimer

• Please note that this is a work in progress

• Suggestions and criticisms are welcome

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Thank you

Dr. N. Devadasan, MBBS, MPH, PhD

Institute of Public Health,Bangalore