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Measuring the “Q” in QALYs for cost-effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using the EQ-5D: a symposium for policy makers and researchers in Asia Friday, 22 March 2013 Falcon Room, Level 3, Grand Copthorne Waterfront Hotel, Singapore

Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

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Page 1: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Measuring the “Q” in QALYs for cost-effectiveness analysis: the EuroQol

Group’s approach

Valuing health outcomes for healthcare decision making using the EQ-5D: a symposium for policy makers and researchers in Asia

Friday, 22 March 2013

Falcon Room, Level 3, Grand Copthorne Waterfront Hotel, Singapore

Page 2: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Prof. Dr. Jan J.V. Busschbach

• Chair of the EuroQol Research Foundation• Erasmus MC

– Psychiatry• Section Medical Psychology and Psychotherapy

[email protected]

Page 3: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

3

Slides: www.busschbach.com

Page 4: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

The EQ-5D-3L questionnaire‘Simplified’ Chinese version

Page 5: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

The EQ-5D-3L questionnaire

To help people say how good or bad a health state is, we have drawn a scale (rather like a thermometer) on which the best state you can imagine is marked 100 and the worst state you can imagine is marked 0.

We would like you to indicate on this scale how good or bad your own health is today, in your opinion. Please do this by drawing a line from the box below to whichever point on the scale indicates how good or bad your health state is today.

Your ownhealth statetoday

Best imaginable health state

Worst imaginable health state

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1 0 0

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0

0

To help people say how good or bad a health state is, we have drawn a scale (rather like a thermometer) on which the best state you can imagine is marked 100 and the worst state you can imagine is marked 0.

We would like you to indicate on this scale how good or bad your own health is today, in your opinion. Please do this by drawing a line from the box below to whichever point on the scale indicates how good or bad your health state is today.

Your ownhealth statetoday

Best imaginable health state

Worst imaginable health state

9

8

7

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0

1 0 0

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Page 6: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

EuroQol jargon: state 11232

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Page 7: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Moving from 3 levels to 5…

7

Page 8: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

New developments

• Developing the 5 level ‘EQ-5D-5L’• Improving the validation

– New methodology

• Standardizing the validation– Standardizing methodology– Allowing cultural values

8

Page 9: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

The EuroQol Group

• Founded 25 years ago• A network of about 100…

– International, – multi-disciplinary, – researchers

• Devoted to…– measurement of health status,– health related Quality of Life

9

Page 10: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Still ‘Euro’?

• Australia• Canada• Denmark• Finland• France• Germany• Greece• Italy• Netherlands• New Zealand

• Norway• Poland• Singapore• Slovenia• South Africa• Spain• Sweden• Trinidad & Tobago• United Kingdom• United States

10

Page 11: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Non commercial

• An non profit organization– A foundation– No stock holders– Members votes for a Executive Board

• The EuroQol Office– Executive Director: Dr. Bernhard Slaap– www.euroqol.org

• All money goes into research

11

Page 12: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Income

• Pharmaceutical industry– Subscriptions for 3 years

• Non commercial users– Sometimes fees

• Any research– Free

12

Page 13: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

EuroQol Membership

• Reserved for those who actively support the work of the EuroQol Group and make a positive and sustained commitment to it

• Attend and scientifically contribute to the EuroQol Plenary Meetings and participate in Working Groups

• Access to research grants and annual meeting

13

Page 14: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

EuroQol Annual Plenary Meeting

14

Page 15: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

EuroQol Annual Meeting

• Present papers and posters on:– Methodological / valuation aspects of EQ-5D– Development of new EQ-5D versions– Alternative modes of administration– Use of EQ-5D in health population surveys

15

Page 16: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

EuroQol Executive Office

16

Page 17: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

EuroQol Office

• Handles EQ-5D license requests• Scientific support clients• Scientific and operational support EQ sponsored

studies• EQ members support• Based in Rotterdam

– The Netherlands

• 5.0 FTE + contractors

17

Page 18: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

1) Two versions in target language

Translators should be native in target language and fluent in English

2) First consensus version

3) Report to EuroQol Group

1) Two versions in English

Translators should be native in English

and fluent in target language

2) Comparison to the original English version

3) Second consensus version

4) Report to EuroQol Group

1) Test second consensus by 8 lay respondents

- Native to the target language- Patients and healthy persons- Range of socio-demographic characteristics

2) Third consensus version

3) Report to EuroQol Group

1. Forward Translation

2. Backward Translation

3. Respondent Testing

Final translation of EQ-5D

Translation Protocol

18

Page 19: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Certified language versions

• All produced following recommended guidelines for cultural adaptation + rating scale exercise

• Translation certificates provided for all versions-19-

Page 20: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

EQ-5D User Guides

20

Page 21: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

EQ-5D Paper version

EQ-5D-3L descriptive system EQ-5D-3L VAS

To help people say how good or bad a health state is, we have drawn a scale (rather like a thermometer) on which the best state you can imagine is marked 100 and the worst state you can imagine is marked 0.

We would like you to indicate on this scale how good or bad your own health is today, in your opinion. Please do this by drawing a line from the box below to whichever point on the scale indicates how good or bad your health state is today.

Your ownhealth statetoday

Best imaginable health state

Worst imaginable health state

9

8

7

6

5

4

3

2

1

0

1 0 0

0

0

0

0

0

0

0

0

0

9

8

7

6

5

4

3

2

1

0

1 0 0

0

0

0

0

0

0

0

0

0

To help people say how good or bad a health state is, we have drawn a scale (rather like a thermometer) on which the best state you can imagine is marked 100 and the worst state you can imagine is marked 0.

We would like you to indicate on this scale how good or bad your own health is today, in your opinion. Please do this by drawing a line from the box below to whichever point on the scale indicates how good or bad your health state is today.

Your ownhealth statetoday

Best imaginable health state

Worst imaginable health state

9

8

7

6

5

4

3

2

1

0

1 0 0

0

0

0

0

0

0

0

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0

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Page 22: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Other formats Tablet, PDA, Web

-22-

Page 23: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Other formats Tablet, PDA, Web

-23-

Page 24: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

EQ-5D Web

24

Page 25: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

EuroQol instruments

• EQ-5D-3L Translations– More than 160 languages in Self-complete paper format– Also available in; Telephone, Face-to-face, Proxy, IVR,

Web and Tablet format

• EQ-5D-5L Translations– More than 90+ languages in self-complete paper format– Also available in Web and Tablet format

• EQ-5D-Y Translations– Available in more than 20 languages– Youth between 7-12 years

25

Page 26: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Overview of the EQ-5D

Purpose and origins of the descriptive system

26

Page 27: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Health Economics

• Comparing different allocations– Should we spent our money on

• Wheel chairs• Screening for cancer

– Comparing costs– Comparing outcome

• Outcomes must be comparable– Make a generic outcome measure

27

Page 28: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Outcomes in health economics

• Specific outcome are incompatible– Allow only for comparisons within the specific field

• Clinical successes: successful operation, total cure• Clinical failures: “events”

– “Hart failure” versus “second psychosis”

• Generic outcome are compatible – Allow for comparisons between fields

• Life years• Quality of life

• Most generic outcome– Quality adjusted life year (QALY)

28

Page 29: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

• Example – Blindness– Time trade-off value is 0.5– Life span = 80 years– 0.5 x 80 = 40 QALYs

Quality Adjusted Life Years (QALY)

0.00

1.00

X

Life years40 80

0.5 x 80 = 40 QALYs

Page 30: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Area under the curve

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Page 31: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

QALY league tables

Intervention $ / QALYGM-CSF in elderly with leukemia 235,958

EPO in dialysis patients 139,623

Lung transplantation 100,957

End stage renal disease management 53,513

Heart transplantation 46,775

Didronel in osteoporosis 32,047

PTA with Stent 17,889

Breast cancer screening 5,147

Viagra 5,097

Treatment of congenital anorectal malformations 2,778

31

Page 32: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

32

9000 Citations in PubMed

0

200

400

600

800

1000

1200

1970 1980 1990 2000 2010 2020

Pu

bli

cati

on

s

1980[pdat] AND (QALY or QALYs)

Page 33: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Most controversy about the ‘Q’ in QALY

• An uni-dimensional value– Like temperature, of km/h– Like the IQ-test measures intelligence

• Ratio or interval scale– Difference 0.00 and 0.80…– … must be 8 time higher than 0.10

33

Page 34: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Unidimensional, ratio scales

• Two popular methods have these pretensions– Time trade-off– Standard gamble

• Two methods are less clear….– Visual analog scale– Paired comparison

• Conjoint analysis; DCE, etc

34

Page 35: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

The Rosser & Kind Index

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Page 36: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

The Rosser & Kind index• One of the oldest valuation• 1978: Magnitude estimation

– Magnitude estimation PTO / VAS– N = 70

• Doctors, nurses, patients and general public

• 1982: Transformation to “utilities”– On a 0.00 to 1.00 scale– Could be used for QALYs

36

Page 37: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

1985: High impact article

37

Page 38: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

1985: High impact article

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Page 39: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

1985: High impact article

– Survey at the celebration of 25 years of health economics in the UK (HESG): chosen most influential article on health economics

39

Page 40: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Criticism on the Matrix

• Sensitivity– only 30 health states

• The unclear meaning of “distress”• The involvement of medical personnel• No clear way how to classify the patients

– into the matrix

• Only British values• The compression of states in the high

values

40

Page 41: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Value compression

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Page 42: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

New initiatives

• Higher sensitivity (more then 30 states)• More and better defined dimensions• Other valuation techniques

– Standard Gamble, Time Trade-Off, Visual Analogue Scale

• Values of the general public• A questionnaire…

– to allow patients to ‘self classify’ themselves

• An international standard – to allow international comparisons– That is at that time “Europe”

42

Page 43: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

EuroQoL Group

• First meeting 1987• Participants from

– UK, Finland, Sweden, The Netherlands

• A common core instrument– To standardize the instrument

• But allow different national values– To allow international comparisons– To allow linking of international results

• Instrument should be small• Suitable for sever ill patients

– The emerging of high tech medicine, especially transplantation

43

Page 44: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

The first EuroQol

• Higher sensitivity (more then 30 states)– 216 states

• More and better defined dimensions– 6 dimensions (EQ-6D)

– Mobility; – Daily activity and self care;– Work performance– Family and leisure performance– Pain/discomfort– Present mood

• Visual Analogue Scale

44

Page 45: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

The first EuroQol

• Values of the general public– Values from general public– But also values from patients (!)

• A questionnaire– to allow patients to ‘self classify’ themselves

• A international standard – to allow international comparisons– That is at that time “Europe”

45

Page 46: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Values from the patients

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Page 47: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Values from the general public

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Page 48: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

First values general public

Page 49: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Why values of the general public?

• Original: To avoid ‘strategic responses’– Patients pressure groups

• To avoid coping– Underestimating the value of health

• To allow complex utility assessments– Time Trade Off– Standard Gamble– Willingness to pay– Person Trade off– Paired comparisons (DCE)

• To allow for societal values of health states– Like costs: the societal perspective

49

Page 50: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Why indirect utility measures?

• Original: To avoid ‘strategic responses’– Patients pressure groups

• To avoid coping– Underestimating the value of health

• To allow complex utility assessments– Time Trade Off– Standard Gamble– Willingness to pay– Person Trade off– Paired comparisons (DCE)

• To allow for societal values of health states– Like costs: the societal perspective

50

Page 51: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Coping: can be a problem in the patient perspective….

• Stensman– Scan J Rehab Med

1985;17:87-99.• Scores on a visual

analogue scale– 36 subjects in a

wheelchair– 36 normal matched

controls• Mean score

– Wheelchair: 8.0– Health controls: 8.3

• Need for indirect valuation

Healthy

Death

51

Page 52: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Why values of the general public?

• Original: To avoid ‘strategic responses’– Patients pressure groups

• To avoid coping– Underestimating the value of health

• To allow complex utility assessments– Time Trade Off– Standard Gamble– Willingness to pay– Person Trade off– Paired comparisons (DCE)

• To allow for societal values of health states– Like costs: the societal perspective

52

Page 53: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Time Trade-Off

• TTO: alternative for VAS• Wheelchair

– With a life expectancy: 50 years• How many years would you trade-off for

a cure? – Max. trade-off is 10 years

• QALY(wheel) = QALY(healthy)– Y * V(wheel) = Y * V(healthy)– 50 V(wheel) = 40 * 1

• V(wheel) = .80

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Page 54: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Health economics prefer TTO

• Visual analogue scale– No trade-off: no relation to QALY

• No interval proportions– Easy

• Time trade-Off– Trade-off: clear relation to QALY

• Interval proportions– Less easy

• Time consuming in patients• Need for indirect valuation

54

Page 55: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Why values of the general public?

• Original: To avoid ‘strategic responses’– Patients pressure groups

• To avoid coping– Underestimating the value of health

• To allow complex utility assessments– Time Trade Off– Standard Gamble– Willingness to pay– Person Trade off– Paired comparisons (DCE)

• To allow for societal values of health states– Like costs: the societal perspective

55

Page 56: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

The economic perspective

• In a normal market: the consumer values count

• The patient seems to be the consumer– Thus the values of the patients….

• If indeed health care is a normal market…

• But is it….?

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Page 57: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Health care is not a normal market

• Supply induced demands• Government control

– Financial support (egalitarian structure)

• Patient Consumer– The patient does not pay

• Consumer = General public– Potential patients are paying

• Health care is an insurance market– A compulsory insurance market

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Page 58: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Health care is an insurance market

• Values of benefit in health care have to be judged from a insurance perspective

• Who values should be used the insurance perspective?

58

Page 59: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Who determines the payments of unemployment insurance?

• Civil servant– Knowledge: professional– But suspected for strategical answers

• more money, less problems• identify with unemployed persons

• The unemployed persons themselves– Knowledge: specific– But suspected for strategical answers

• General public (politicians)– Knowledge: experience– Payers

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Page 60: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Who’s values (of quality of life) should count in the health insurance?

• Doctors– Knowledge: professional– But suspected for strategical answers

• See only selection of patient• Identification with own patient

• Patients– Knowledge: disease specific– But suspected for strategical answers– But coping

• General public– Knowledge: experience– Payers– Like costs: the societal perspective

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Page 61: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

The general public should be informed…

• Valuing without knowledge makes no sense– Thyroid Eye Disease

• Give description of the disease– For instance in terms of the EQ-5D

A patient with bilateral thyroid eye disease with upper lid retraction and exophthalmos.

61

Page 62: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Why indirect utility measures?

• Original: To avoid ‘strategic responses’– Patients pressure groups

• To avoid coping– Underestimating the value of health

• To allow complex utility assessments– Time Trade Off– Standard Gamble– Willingness to pay– Person Trade off– Paired comparisons (DCE)

• To allow for societal values of health states– Like costs: the societal perspective

62

Page 63: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Indirect utility measrue

MOBILITY I have no problems in walking about I have some problems in walking about I am confined to bed

SELF-CARE I have no problems with self-care I have some problems washing or dressing myself I am unable to wash or dress myself

USUAL ACTIVITIES (e.g. work, study, housework family or leisure activities)

I have no problems with performing my usual activities I have some problems with performing my usual activities I am unable to perform my usual activities

PAIN/DISCOMFORT I have no pain or discomfort I have moderate pain or discomfort I have extreme pain or discomfort

ANXIETY/DEPRESSION I am not anxious or depressed I am moderately anxious or depressed I am extremely anxious or depressed

63

Page 64: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

EQ-5D-3L Value Sets

TTO Value Sets VAS Value Sets

-0.8

-0.6

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

1111

1

2111

1

1211

1

1121

1

1112

1

1111

2

1112

2

2123

2

3221

1

2232

3

2223

3

3332

1

3333

3

DenmarkGermanyJapanNetherlandsSpainUKUSAZimbabwe

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

1111

1

2111

1

1211

1

1121

1

1112

1

1111

2

1112

2

2123

2

3221

1

2232

3

2223

3

3332

1

3333

3

BelgiumDenmarkFinlandNew ZealandSloveniaSpainUKEurope

Health State

Val

ue

Val

ue

Health State

64

Page 65: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Values from the patients

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Page 66: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Values from the general public

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Page 67: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Why use the EQ-5D?

What are the alternatives?

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Page 68: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Validated questionnaires

Rosser & Kind

EuroQol EQ-5D www.euroqol.org

QWB

SF-36 (SF-6D) www.sf-36.org

HUI Mark 2

HUI Mark 3 www.healthutilities.com

15D www.15d-instrument.net

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Page 69: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

The Rosser & Kind Index

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Page 70: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

The Rosser & Kind index

• Criticism on the Rosser & Kind index– Sensitivity (only 30 health states)

• New initiatives– Higher sensitivity (more then 30 states)

• EuroQol Group– EQ-5D-3L and the EQ-5D-5L

• McMaster University– Health Utility Index 2 & 3

• SF-36– SF-6D

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Page 71: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Health Utility Index

• Developed from pediatric care– Strong proxy versions

• Symptom driven: – “Outside the skin” instead of “inside the skin”

• EQ-5D: “problems with daily activity”• HUI: “Unable to read ordinary newsprint…”

• Commercial– All user have to pay

• 35 Translations

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Page 72: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

HUI 2

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Page 73: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

HUI 3

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Page 74: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Increasing number of health states

Questionnaire Number of states

Rosser & Kind Matrix 30

EQ-5D 3L 243

Quality of Well Being Scale (QWB) 2,200

EQ-5D 5L 3,125

SF-6D (SF-36) 18,000

HUI Mark 2 24,000

HUI Mark 3 972,000

15 D 3,052,000,000

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Page 75: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

No longer value all states

• Impossible to value all health states– If one uses more than 30 health states

• Estimated the value of the other health states with statistical techniques– Statistically inferred strategies

• Regression techniques• EuroQol, Quality of Well-Being Scale (QWB)

– Explicitly decomposed methods• Multi Attribute Utility Theory (MAUT)• Health Utility Index (HUI)

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Page 76: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Regression techniques

• Value a sample of states empirically• Extrapolation

– Statistical methods, like linear regression– 11111 = 1.00– 11113 = .70

– 11112 = ?

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Page 77: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Gets complex if states increases

• Moving from 3 levels to 5….• Extrapolation

– Statistical methods, like linear regression– 11111 = 1.00– 11115 = .70

– 11112 = ?– 11113 = ?– 11114 = ?

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Page 78: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

More health states, more assumptions

• General public values at the most 50 states• The ratios empirical (50) versus extrapolated

– Rosser & Kind 1:1– EQ-5D 3L 1:5– QWB 1:44– EQ-5D 5L 1:62– SF-36 1:360– HUI (Mark III) 1:19,400– 15D 1:610,000,000

• What is the critical ratio for a valid validation?

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Page 79: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Conflicting evidence sensitivity SF-6D

Liver transplantation, Longworth et al., 2001

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Page 80: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

SF-36 as utility instrument

• Transformed into SF6D• SG• N = 610• Inconsistencies in model

– 18.000 health states– regression technique stressed to the edge

• Floor effect in SF6D

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Page 81: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Some levels in the SF-6D do not work…

Dimension: Physical Functioning (PF) If PF=1 decrement: 0 If PF=2 decrement: - 0.056 If PF=3 decrement: - 0.056 If PF=4 * decrement: - 0.072 If PF=5 * decrement: - 0.080 If PF=6 * decrement: - 0.134 Dimension: Role Limitations (RL) If RL=1 decrement: 0 If RL=2 decrement: - 0.073 If RL=3 * decrement: - 0.073 If RL=4 * decrement: - 0.073

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Page 82: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

SF-6D loses a lot of levels

• Proposed Levels Actual levels– PF 6 5– RL 4 2– SF 5 5– PN 6 5– MH 5 4– VI 5 3

• Proposed Levels : 18.000– 6x4x5x6x5x5

• Actual levels : 480– 5x2x5x5x4x3

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Page 83: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

EQ-5D

• Strong punts– Very sensitive in the low– Measures subjective burden (inside the skin)– Low administrative burden– Many translations– Cheap– Most used QALY questionnaire– Most international validations

• Weak points– Only there levels per dimensions– Insensitive in the high regions

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Page 84: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

HUI

• Strong punts– Sensitive– Measures objective burden (outside the skin)– Well developed proxy versions– Well developed child versions

• Weak points– Expensive– Only a few valuation studies

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Page 85: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

SF-6D

• Strong punts– Probably sensitive in the high regions– Often already include in trials (SF-36)– Many translations

• Weak points– Insensitive in the low regions– Only a few validation study– Might be expensive

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Page 86: Measuring the “Q” in QALYs for cost- effectiveness analysis: the EuroQol Group’s approach Valuing health outcomes for healthcare decision making using

Conclusions

• More states better sensitivity• The three leading questionnaires

– have different strong and weak points

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