Extending Medical Preference Models to Include Lifetime Goals

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Extending Medical Preference Models to Include Lifetime Goals

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Title: Extending Medical Preference Models to Include Lifetime Goals


1
Extending Medical Preference Models to Include
Lifetime Goals
  • Gordon Hazen
  • Northwestern University
  • INFORMS Pittsburgh, November 2006

2
Outline of talk
  • QALYs/ Problems with QALYs
  • Health quality versus life quality Extrinsic
    goals
  • Revising the QALY assumptions
  • Survival-duration surrogates
  • Filling gaps in the QALY model
  • Utility over health profiles
  • Example decision analysis
  • Proportionate-duration surrogates
  • Open issues

3
Outline of talk
  • QALYs/ Problems with QALYs
  • Health quality versus life quality Extrinsic
    goals
  • Revising the QALY assumptions
  • Survival-duration surrogates
  • Filling gaps in the QALY model
  • Utility over health profiles
  • Example decision analysis
  • Proportionate-duration surrogates
  • Open issues

4
QALY Model
  • QALYs are the most important and broadly used
    method for evaluating health quality.
  • Panel on Cost Effectiveness in Health and
    Medicine (Gold et al. 1996) Medical CE studies
    should incorporate morbidity and mortality
    consequences into a single measure using QALYs.

5
Problems with QALYs
  • Numerous studies have demonstrated that the
    correlation between ones current health and the
    time-tradeoff or standard gamble utility for that
    health state is at best modest. (Tsevat 2000)
  • Willingness to trade away time often much less
    than one might expect.
  • Miyamota and Eraker (1988) Subjects might accept
    a tradeoff of life duration for improved health
    quality when remaining lifetime was long, but
    decline such tradeoffs if remaining lifetime was
    short.
  • This behavior cannot be accommodated within the
    QALY model.

6
Problems with QALYs (cont.)
  • Maximum endurable time Subjects can tolerate no
    more than a particular time in an undesirable
    health state, beyond which each additional
    increment of time decreases overall utility.
  • Miyamoto et al (1998) report a patient who
    regarded his health state as almost intolerable,
    but who wanted to live at least 5 more years to
    see his son graduate from high school.
  • Sutherland et al (1982) 6-9/20 MET preferences
    among physicians and scientists, depending on
    health state evaluated.
  • Stalmeier et al (2001) report
  • gt 50 MET preferences for low QALY health states
    among students
  • 10/14 MET preferences among migraine patients
  • 12/27 MET preferences among esophagectomy
    patients
  • Such behavior cannot be accommodated within the
    QALY model.

7
Outline of talk
  • QALYs/ Problems with QALYs
  • Health quality versus life quality Extrinsic
    goals
  • Revising the QALY assumptions
  • Survival-duration surrogates
  • Filling gaps in the QALY model
  • Utility over health profiles
  • Example decision analysis
  • Proportionate-duration surrogates
  • Open issues

8
Health Quality vs. Life Quality
  • Hypothesis (Tsevat) QALYs capture quality of
    health, but not quality of life.
  • Goals related to quality of health tend to be
    ongoing their impact is modulated by duration
  • increase mobility
  • eliminate pain
  • reduce emotional stress.

9
Health Quality vs. Life Quality (cont.)
  • Goals related to quality of life may be extrinsic
    their impact is not modulated by duration
  • an author might want to complete a book
  • a politician might strive to achieve higher
    office
  • an engineer or architect might endeavor to see
    a project to completion
  • many individuals seek to have children and
    raise families.

10
Health Quality vs. Life Quality (cont.)
  • Schwartz et al (2006)
  • Community Study
  • Random-digit dialing telephone interviews
  • 50 Chicago-area residents
  • Patient Study
  • In-person interviews
  • 100 inpatients (University of Illinois Hospital,
    Jesse Brown VA Hospital)
  • In each study, participants provided up to five
    goals (three 5-year goals, one 10-year goal, one
    life goal)

11
Health Quality vs. Life Quality (cont.)
  • Schwartz et al (2006) Taxonomy of reported goals

12
Representative Goals by Category(Schwartz et al
2006)
  • Education finish college, go back to
    school
  • Family
  • Self Get married, Have children
  • Family member See daughter finish high school,
    See son get married
  • Health and Fitness lose weight, complete
    marathon
  • Personal Fulfillment spend more time in
    charitable activity, write a book
  • Professional
  • Job get a job, own a business
  • Retirement retire
  • Travel travel to Europe, travel
  • Wealth
  • Real Property buy a house, invest in
    property
  • Personal Property buy a new car, own a boat

13
QALY model and Extrinsic Goals
  • In the QALY model, quality of health is given
    weight proportional to health duration.
  • It follows that the QALY model cannot directly
    account for extrinsic goals, whose importance is
    by definition independent of duration.

14
Outline of talk
  • QALYs/ Problems with QALYs
  • Health quality versus life quality Extrinsic
    goals
  • Revising the QALY assumptions
  • Survival-duration surrogates
  • Filling gaps in the QALY model
  • Utility over health profiles
  • Example decision analysis
  • Proportionate-duration surrogates
  • Open issues

15
Assumptions underlying the QALY Model
  • Assumptions on preferences yielding the QALY
    form Pliskin et al. (1980), Miyamoto et al.
    (1998), and Miyamoto (1999).
  • Preference model
  • Quality/life duration pairs (q,t).
  • Theorem (Miyamoto et al 1998)
  • A1 A2 ? U(q,t) UQ(q)UT(t)
  • (Generalized QALY model)

16
Assumptions underlying the QALY model (Miyamoto
et al 1998)
  • Quality/life duration pairs (q,t).
  • A1. The zero condition
  • Preferences between states of health disappear
    when survival duration is zero, that is, for all
    states q, q? of health, (q,0) (q?,0).
  • A2. Generalized utility independence (GUI) for
    lifetime (Standard gamble independence).
  • Any two conditional preference relations over
    lifetime gambles, given health states q and q?
    not equivalent to death, are either identical or
    reversed.

17
Failure of the zero condition for extrinsic goals
  • Goal achievement/ Quality/ Life duration triples
    (g,q,t)
  • Goal achievement may be preferred to
    non-achievement even if life duration is zero
    (g Achieved, q, t 0) ? (g Not achieved, q,
    t 0)

18
Revised assumptions allowing for extrinsic goals
  • Goal/ quality/ life-duration triples (g,q,t).
  • B1. Conditional zero condition
  • For each level g of extrinsic goal achievement,
    preferences for health quality disappear when
    life duration is zero, that is, for all health
    states q, q?,
  • (g,q,0) (g, q?,0).
  • B2. Generalized utility independence (GUI) for
    lifetime.
  • Any two conditional preference relations over
    lifetime gambles, given health states q and q?
    not equivalent to death, and goal achievement
    levels g and g?, are either identical or
    reversed.
  • B3. Additive independence of extrinsic goal
    attainment and health quality given life duration.

19
Revised assumptions allowing for extrinsic goals
  • Goal / quality / life-duration triples (g,q,t).
  • Theorem (Hazen 2003) B1B2B3 are equivalent to
  • U(g,q,t) UQ(q)UT(t) kGUG(g).

20
Utility function incorporating extrinsic goals
  • The utility model
  • U(g,q,t) UQ(q)UT(t) kGUG(g)
  • Interpretation
  • UQ(q)UT(t) QALYs
  • UG(g) Utility for goal achievement level g
  • kG Tradeoff weight for goal achievement

21
Outline of talk
  • QALYs/ Problems with QALYs
  • Health quality versus life quality Extrinsic
    goals
  • Revising the QALY assumptions
  • Survival-duration surrogates
  • Filling gaps in the QALY model
  • Utility over health profiles
  • Example decision analysis
  • Proportionate-duration surrogates
  • Open issues

22
Survival-duration surrogate for extrinsic goal
achievement
  • Achievement of an extrinsic goal may require time
    commitment say estimated time commitment is tG.
  • Simple and convenient surrogate for goal
    achievement Whether survival duration t exceeds
    tG.

Only two levels 0,1 of goal achievement ? Can
take UG(g) g.
23
Interpreting kG when there is a survival-duration
surrogate
Assumptions UG(g) g (survival duration
surrogate) UT(t) t (no discounting) Therefore
U(g,q,t) UQ(q)t kG t tG. Assessment
question What quality-of-life decrement q ? q
would you be just willing to accept to increase
survival duration from just below tG to just
above tG?
24
Interpreting kG when there is a survival-duration
surrogate (cont)
  • Therefore (g0, q, tG?-) (g1,q,
    tG) U(g0, q, tG?-) U(g1,q, tG) 1?tG
    kG?0 UQ(q) tG kG?1
  • Solve to obtain kG / tG 1 UQ(q).
  • Conclusion kG / tG is the quality of life
    increment that one would be just willing to
    sacrifice to increase survival from slightly
    below tG to slightly above tG.

25
Outline of talk
  • QALYs/ Problems with QALYs
  • Health quality versus life quality Extrinsic
    goals
  • Revising the QALY assumptions
  • Survival-duration surrogates
  • Filling gaps in the QALY model
  • Utility over health profiles
  • Example decision analysis
  • Proportionate-duration surrogates
  • Open issues

26
Goal model allows max endurable time
Health profile h Survive for duration t in
undesirable health state with utility uQ lt 0.
U uQt kGt tG Utility decreases until t
exceeds tG, where time goal is achieved.
27
Max endurable time as usually portrayed
  • Stalmeier, Busschbach, Lamers, Krabbe, Health
    Econ (in press)

Stalmeier, Chapman, de Boer, Lanschot , Tech
Assessment in Health Care (2001)
28
Max endurable time as usually portrayed
  • U uQt kGt tG
  • Assume tG is uncertain with distribution FG.
  • Then
  • EU uQt kGFG(t)
  • Resulting graphs of utility vs. life duration
    conform to usual portrayal.

29
Goal model allows tradeoff reluctance
  • If reduction in survival time interferes with
    goal achievement, then it may make sense not to
    trade away time for health improvement.

uQ 0.30, tG 5 yr U uQt kGt tG
kG 0 (QALY model)
kG 4 yr
30
Goal model allows reluctance to gamble
  • Risks of death may be declined to the extent they
    interfere with goal achievement.

uQ 0.30, tG 5 yr U uQt kGt tG
kG 0 (QALY model)
kG 4 yr
31
Outline of talk
  • QALYs/ Problems with QALYs
  • Health quality versus life quality Extrinsic
    goals
  • Revising the QALY assumptions
  • Survival-duration surrogates
  • Filling gaps in the QALY model
  • Utility over health profiles
  • Example decision analysis
  • Proportionate-duration surrogates
  • Open issues

32
Extending to utility over health profiles
  • Health profile h A function which assigns health
    state q h(s) to every time instant s in some
    interval 0, th.
  • The informal approach for QALYs (Pliskin et al
    1980)
  • Assumption Q1 For any health profile h there is
    a level q Q(h) of health quality such that h
    (q,th).
  • Assumption Q2 Q(h) satisfies the time-weighted
    average equation
  • Conclusion

33
Extending to utility over health profiles
  • The informal approach for QALYs (Pliskin et al
    1980), with no time discounting
  • Assumption Q1 For any health profile h there is
    a level q Q(h) of health quality such that h
    (q,th).
  • UT(t) t
  • Assumption Q2 Q(h) satisfies the time-weighted
    average equation
  • Conclusion Sum the QALYs along the path

34
Extending to utility over health profiles and
extrinsic goals
  • Extrinsic goal achievement is not time-modulated,
    so does not accrue over time, but instead is
    associated holistically with the entire life
    profile of an individual.
  • For modeling purposes, then, we consider
    preferences over pairs (g,h), where h is a health
    profile and g is a level of extrinsic goal
    achievement.
  • Assumption Q1 extended For any health profile h
    and goal achievement level g, there is a level q
    Q(h) of health quality such that (g,h)
    (g,q,th).
  • Conclusion (under no time discounting)

35
Extending to utility over health profiles and
extrinsic goals
  • Note Q(h) is assumed to not depend on g.
  • Reasonable because the additive form
  • U(g,q,t) UQ(q)UT(t) kGUG(g)
  • implies q,t utility independent of g, so why not
    h utility independent of g?

36
Outline of talk
  • QALYs/ Problems with QALYs
  • Health quality versus life quality Extrinsic
    goals
  • Revising the QALY assumptions
  • Survival-duration surrogates
  • Filling gaps in the QALY model
  • Utility over health profiles
  • Example decision analysis
  • Proportionate-duration surrogates
  • Open issues

37
Example Decision Analysis
  • Decision to undergo carotid endarterectomy a
    Markov chain analysis performed by Matchar
    Pauker (1986).

38
Example Decision Analysis
  • We add an extrinsic goal represented by
    survival-duration surrogate tG 6 yr.
  • We take goal weight kG 1.2 yr. (Willing to
    decrease health quality by kG/tG 0.20 in order
    to increase survival duration from just below the
    6-year survival goal to just above it.)

39
Example Decision Analysis Results
tG 6 years, kG 1.2 years
40
Outline of talk
  • QALYs/ Problems with QALYs
  • Health quality versus life quality Extrinsic
    goals
  • Revising the QALY assumptions
  • Survival-duration surrogates
  • Filling gaps in the QALY model
  • Utility over health profiles
  • Example decision analysis
  • Proportionate-duration surrogates
  • Open issues

41
Partial goal achievement
  • Proportionate-duration surrogate for degree of
    goal achievement
  • g min 1,t / tG
  • survival time as a percentage up to 100 of
    a critical duration tG.
  • U(g,q,t) UQ(q)UT(t) kGmin1,t/tG

42
Proportionate-duration max endurable time
preference
  • tG 5 yr, kG 4 yr

43
Proportionate-duration willingness to trade off
for full health
  • tG 5 yr, uQ 0.3
  • kG 0 (QALY model)
  • kG 4 yr

44
Proportionate-duration risk of death willing to
accept for full health
  • tG 5 yr, uQ 0.3
  • kG 0 (QALY model)
  • kG 4 yr

45
Proportionate-duration utility and the QALY model
  • Proportionate-duration utility w/o discounting
  • This is equivalent to
  • UQ(q) kG/tG QALYs per unit time up to time tG
  • UQ(q) QALYs per unit time after time tG
  • This is a modified QALY model

46
Proportionate-duration utility and the QALY model
  • Theorem Suppose degree of extrinsic goal
    achievement is measured by the proportionate-durat
    ion surrogate, and there is no time discounting.
    Then the utility of a health profile h is
    equivalent to the QALY of a modified health
    profile hG in which all health states q occupied
    before time tG are replaced by states q having
    health quality UQ(q) UQ(q) kG/tG.
  • Implication Standard software can be used to
    compute extrinsic-goal utility with a
    proportionate-duration surrogate goal.

47
Outline of talk
  • QALYs/ Problems with QALYs
  • Health quality versus life quality Extrinsic
    goals
  • Revising the QALY assumptions
  • Survival-duration surrogates
  • Filling gaps in the QALY model
  • Utility over health profiles
  • Example decision analysis
  • Proportionate-duration surrogates
  • Open issues

48
Open issues
  • Multiple simultaneous goals
  • Future goals
  • Once current goal(s) are achieved, future goals
    are likely to arise. Should this be modeled? If
    so, how?
  • Note that no one asks this kind of question for
    QALYs - ongoing goals represented by QALYs are
    assumed never to change.

49
Open issues
  • Population issues
  • Heterogeneous goals across a population how to
    account for these?
  • Heterogeneous parameters kG, tG how to account
    for these?
  • Note for QALYs, all that matters is the
    population average QALY for each health state, so
    heterogeneity issues are not as significant for
    the QALY model.

50
Conclusion
  • Utility functions that include an extrinsic goal
    component
  • can account for observed violations of the QALY
    model (maximum endurable time preference,
    reluctance to trade off time for quality)
  • can do so prescriptively, thereby providing a
    coherent basis for including such goals in
    decision and cost-effectiveness analyses.
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