1. Please use easy sentences and words to answer questions in “Assignment3”.
2. Read the question carefully: the question should use “3-2-1 report” format; before doing question 2&3, please read the pdf of lecture 10 carefully; also when you are doing question4, you need to read lecture 11.
3. Please give me in 24 hours. Thanks a lot.
ECON
3
1
7
The Economics of Canadian Health Care
Lecture
10
: Measuring Health Outcomes
via QAL
Y
January
2
8
th, 20
20
Version 1
Required Reading
• Section 3.
5
(pages 17-25) of
• Torrance, G. W. (1
9
8
6
). Measurement of health state utilities for economic
appraisal: a review. Journal of Health Economics, 5(1), 1-30. Retrieved from
https://doi-org.ezproxy.library.uvic.ca/10.1016/0167-6296(86)90020-2
• The standard source on QALY measurement.
• Nord, E. Daniels, N. & Kamlet, M. (2009). QALYs: Some Challenges. Value in
Health,
12
(Supplement 1), 510-515. Retrieved from
https://doi.org/10.
11
11/j.152
4
-4733.2009.00516.x
• A good discussion of Ex Ante vs Ex Post health, concerns for fairness and
the variation in health state utilities depending on the valuation method
used.
2
https://doi-org.ezproxy.library.uvic.ca/10.1016/0167-6296(86)90020-2
https://doi.org/10.1111/j.15
24
-4733.2009.00516.x
Optional Readings
• Soares, M. O. (2012). Is the QALY blind, deaf and dumb to equity? NICE’s considerations over equity. British
Medical Bulletin, 101(1), 17-31. Retrieved from https://doi.org/10.1093/bmb/lds003
• An excellent summary of how QALYs work, followed by a theoretical and practical discussion of the
equity/efficiency trade-off in the context of the UK’s National Health Service.
• Round, J. (2012). Is a QALY still a QALY at the end of life? Journal of Health Economics, 31, 521-527.
Retrieved from https://doi.org/10.1016/j.jhealeco.2012.01.006
• The source for Lecture 10’s discussion of end-of-life care, including the diagram.
• Menzel, P. T. (20
14
). Utilities for Health States: Whom to Ask in A. J. Culyer (Ed.), Encyclopedia of Health
Economics, 417-4
23
. Retrieved from https://doi.org/10.1016/B978-0-12-375678-7.00508-3
• Richardson, J., McKie, J. & Bariola, E. (2014). Multiattribute Utility Instruments and Their Use in A. J. Culyer
(Ed.), Encyclopedia of Health Economics, 341-357. Retrieved from https://doi.org/10.1016/B978-0-12-
375678-7.00505-8
• Torrance, G. W., Feeny, D. & Furlong, W. (2001). Visual Analog Scales: Do They Have a Role in the
Measurement of Preferences for Health States? Medical Decision Making, 21(4), 329-334. Retrieved from
https://doi.org/10.1177/0272989X0102100408
• Discusses the use (and abuse) of Visual Analog Scales in detail.
3
https://doi.org/10.1093/bmb/lds003
https://doi.org/10.1016/j.jhealeco.2012.01.006
https://doi.org/10.1016/B978-0-12-375678-7.00508-3
https://doi.org/10.1016/B978-0-12-375678-7.00505-8
https://doi.org/10.1177/0272989X0102100408
Learning Objectives
• Understand the use and calculation of QALY.
• Understand the main benefits and limitations of each approach.
• Understand the choices and trade-offs to be made in deciding who to
ask about the utility of health states, and how to ask about the same.
• Understand the difference between Ex Ante and Ex Post utility of
health states, and the implications for the valuation of health
outcomes.
4
How should we value health outcomes?
• Why do we want health care?
• Because it helps people ‘get better’ (quality of life; utility measure)
• Because it saves lives (years of life)
• Ideally, we’d like a way to attach a value to health outcomes that…
• Takes both time AND quality into account
• Plays nicely with math/statistical methods
• Can be compared across all kinds of treatments and illnesses
• Can be used by social planners to set priorities/allocate resources efficiently
• Health professionals have come up with a number of (imperfect) measures. Today
we’ll look at the most common: QALY
5
Quality-Adjusted Life Year (QALY)
• A measure of individual health that takes both lifetime and quality into account.
• 1 QALY = 1 year in full health. A year spent dead has a value of 0 QALY. Fates worse than
death have QALY < 0.
• ???? = σ?=1
? ??, where t=time periods (years), and ?? is the quality weight corresponding
to the state of health experienced in period i.
• Weights are obtained from individual preferences (more below).
• Independence: Quality of life is assumed to be path-independent, so health state qualities
can be added as in the equation above.
• Interval Scale: a change of 0.1 (say) on the 0-1 scale has the same meaning no matter
where it is. 0.1 0.2 = 0.6 0.7
• “A QALY is a QALY is a QALY.” (attributed to NICE) When aggregating population-wide, a
QALY gained by one individual is equal to a QALY gained by anyone else.
• Depending on the study, QALY may or may not be time-discounted (so future gains are
less valuable than immediate gains, similar to how interest rates and the time value of
money work.)
6
QUALY and End-of-Life
• What about palliative care? Won’t a QALY measure of ‘worth’ automatically
mean non-life-extending care is useless?
• No. QALY can increase as long as quality of life increases, and it’s possible a
shorter lifespan can lead to increased QALY (see graph below)
• It is well known that as known death approaches, the marginal value of
(life) time increases. QALY is therefore not appropriate, because ‘A QALY is
a QALY is a QALY’. Even the UK’s NICE, which require the use of QALY, have
implemented an end-of-life exception:
• In the past, the UK health system has not considered treatments that cost
more than £30,000 per additional QALY cost effective (worth paying for).
• IF life expectancy < 2 years AND a treatment increases life by > 3 (expected)
months THEN the usual £30,000/QALY cost threshold can be waived.
7
Lower lifetime, higher QALY? (Adapted from Round, 2012)
Treatment
A
Treatment
B
X
Y
Z
tA tB
Time
Quality of
Life QALY A = Y + X
QALY B = Y + Z
X > Z, so QALY A > QALY B
8
Some problems with the QALY
• Disutility of a health state is the same, no matter who the health state happens to:
vision/mobility loss is just as bad in a teenager who could have been cured, as in a
90-year-old with no hope of cure.
• Different methods of obtaining weights lead to values that vary systematically, and
it is not clear the weights truly represent utility.
• Society values equity (‘rule of rescue’, favouring more severe illnesses, ‘fair innings’,
etc.). Using QALY as the only guide ignores this, and focuses only on utilitarian
efficiency. (But note that equity weights can be obtained/added.)
• The QALY Trap: Life-years gained by the healthy are valued more than life-years
gained by the chronically ill. If instead we say all life years gained are equal, then the
value of curing a chronic illness must be zero.
• Ex-Ante ‘decision’ utilities are used for weights, but valuation of health states is
different Ex-Post, when obtained from someone in the health state (more below).
9
Who to ask?
• Two groups to ask about health state utility: those who have experienced it, and
those who have not.
• ‘Ex Ante’ or ‘Decision’ utility: asks non-patients to imagine what the health state
would be like, and rank it. More representative of ‘the general public’, and used
as standard practice.
• Convenient/efficient (can ask the same people about many health states at the
same time), and ‘fair’ (no vested interest).
• ‘Ex Post’ or ‘Experience’ utility: asks patients what it is/was like.
• Experience utility is almost always higher than decision utility.
• Using Ex Post utility may reduce the value to the social planner of (say) finding a
cure for paraplegia.
• The main reason for the difference is adaptation.
10
Adaptation (Menzel 2014)
• “Patients adapt to their condition.” A review found Ex Post ratings of 0.83
QALY for health states with Ex Ante ratings of 0.65 QALY. Why?
• Skill enhancement (e.g. learning to use a wheelchair)
• Adjusted choice of activities (jogging reading)
• Revision of life goals (busy career fulfilling home life)
• Heightened stoicism (increased patience/tolerance)
• Lowered expectations (ill is the new baseline normal)
• Altered conception of health (forget exactly how full, full health is)
• Changed frame of reference/status quo (consistent with prospect theory)
11
How to ask: Visual Analogue Scale
• One of several approaches we’ll look at.
• Sometimes called the ‘thermometer’ approach.
• Take a ruler. Mark the top of the ruler ‘best health state imaginable’, and
the bottom of the ruler ‘death’ or ‘worst state imaginable’ (states worse
than death are possible).
• Ask people to draw a line on the scale corresponding to their rating of a
health state.
• Benefits: Easy to administer.
• Drawbacks: people avoid the ends of the scale, ‘snap’ to calibration marks,
tend to space multiple valuations evenly, etc.
• Also: ‘best imaginable’ is not comparable between individuals, not based
on tradeoffs, difficult to deal with time discounting (later).
12
A simple (and flawed) visual analog scale
• Please indicate on the scale above how you feel today.
• Your turn: what are some problems with this scale?
13
Worst Health
Imaginable
Dead Best Health
Imaginable
How to Ask: Standard Gamble (SG)
• Let H be the health state we’re interested in evaluating.
• Perfect Health = 1 and Death = 0.
• Option 1: 1 with chance p and 0 (Instant Death) with chance (1 – p)
• Option 2: H, with certainty, for life.
• When the interviewee is indifferent between A and B, p = H.
• p x U(Perfect Health) + (1 – p) x U(Death) = U(Health State)
• p x 1 + (1 – p) x 0 = H p =
H
• Problem: SG ‘mixes’ health state utilities with risk aversion.
• A risk-averse person may report p = 1 (or very near 1)
• Possibly susceptible to framing, since risk aversion (or seeking) depends on
frame of reference and Gain or Loss domain.
14
Chronic condition better than death
15
Option 2
Outcome: H
Chance: 100%
Expected Utility: 1 x H
Option 1
Outcome: Full Health
Chance: p
Expected Utility: p x 1
Outcome: Instant Death
Chance: (1 – p)
Expected Utility: (1 – p) x 0
If both options are equal:
Then their expected values are equal,
so H = p
Chronic condition worse than death
16
Option 2
Outcome: Instant Death
Chance: 100%
Expected utility: 1 x 0
Option 1
Outcome: Full Health
Chance: p
Expected utility: p x 1
Outcome: H
Chance: (1 – p)
Expected utility: (1 – p) x H
If both options are equal:
Then (1 – p)H + p = 0
H = p/(p – 1)
This can get very negative, so in
practice most researches enforce
a lower bound of H = -1.
Temporary health condition
17
Option 2
Outcome: H
Chance: 100%
Expected Utility: H
Option 1
Outcome: Full Health
Chance: p
Expected Utility: p x 1
Outcome:
S
Chance: (1 – p)
Expected Utility: (1 – p) x S
If both options are equally preferred:
Then p + S x (1 – p) = H
‘Instant Death’ is overkill when
talking about toothache, so we
use a temporary state with
‘known’ utility, S, instead.
How to Ask: Time Trade-Off (TTO)
• H, Perfect Health = 1, Death = 0 as in the discussion of the SG.
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