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Mispredicting adaptation to adverse outcomes: New evidence from the medical domain

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Title: Mispredicting adaptation to adverse outcomes: New evidence from the medical domain


1
(Mis)predicting adaptation to adverse outcomes
New evidence from the medical domain
George Loewenstein(presentation at HDGC 1/22/03)
  • Collaborators (partial list)
  • Peter Ubel, M.D.
  • John Hershey, Ph.D.
  • Jonathan Baron, Ph.D.
  • David A. Asch, M.D., M.B.A.
  • Christopher Jepson, Ph.D.
  • Angela Fagerlin, Ph.D.
  • Julie Lucas, B.B.A.
  • Jason Riis

2
Adaptation
  • Material (behavioral)
  • Hedonic

3
Predictions of adaptation
  • General finding people underpredict their own
    speed of adaptation (both negative and positive)
  • Loewenstein Frederick, 1997 (diverse, including
    income)
  • Gilbert et al. 1998 (e.g., tenure)
  • Schkade Kahneman, 1998 (living in Cal.)
  • Sieff, Dawes Loewenstein, 1999 (reaction to HIV
    status)
  • Wilson et al, 2000 (win or loss of team)

4
Application to the medical domain
  • (Which hopefully sheds light more broadly on
    adaptation, and the accuracy of intuitions about
    adaptation, in diverse domains)

5
Most patients report a high quality of life
  • Brickman, Coates, and Janoff-Bulman (1978)
    Surprisingly small difference in self-reported
    happiness (on 5 point scale) between paraplegics
    and matched controls
  • paraplegics 2.96
  • controls 3.82
  • Wortman and Silver (1987) quadriplegics reported
    no greater frequency of negative affect than
    control respondents!
  • Tyc (1992) no difference in quality of life or
    psychiatric symptomatology in young patients who
    had lost limbs to cancer compared with those who
    had not.

6
Non-patients dont expect patients to be as happy
as they report being..
  • Discrepancy between patients evaluations of
    their own quality of life and non-patients
    evaluations of what their quality of life would
    be if they had the same health conditions
  • Chronic dialysis (Sackett and Torrance, 1978)
  • Nonpatient predictions .39
  • Patient reports .56
  • Colostomies
  • Nonpatient predictions .80
  • Patient reports .92
  • ? The discrepancy

7
Many possible causes of the discrepancy
  • Explanations that implicate non-patients
  • Misconstrual of medical condition?
  • 'Focusing illusion'
  • Underappreciation of adaptation
  • Explanations that implicate patients
  • Renorming of scales
  • Dissonance reduction
  • 'Neutral' explanations
  • Mismatch between subject populations?

8
Whether discrepancy is important for medical
policy depends on its cause
  • Attempts to rationalize health care delivery
  • Nonpatients evaluations of QOL serve as inputs
  • Informed consent/ patient decision making
  • Individual treatment decisions often based on
    perceptions, by people who do not have
    conditions, of what it would be like to have
    those conditions

9
An illustration
  • Slevin et al., 1990 who say they'd accept a
    grueling course of chemotherapy for 3 extra
    months of life
  • radiotherapists 0
  • oncologists 6
  • healthy persons 10
  • current cancer patients 42
  • whose values to use?

10
Data!
11
Within-subject study of kidney transplant and
dialysis (unpublished)
  • (n127 dialysis patients who ultimately received
    transplants all numbers on 0-100 quality of life
    scale)
  • Reported well-being
  • pre-transplant 64.16
  • Predicted well-being
  • one year later 91.19
  • Reported well-being
  • one year later 76.81
  • Recalled well-being 47.19
  • Notes - all means significantly different from
    one-another
  • - those not transplanted over-predicted their
    own misery

12
Evidence of misconstrual
13
bad scales?
  • Classic criticism is that patients renorm the
    scales based on their own experiences or on new
    points of social comparison
  • But when sufferers and nonsufferers of diverse
    problems rated QoL with anchored or unanchored
    scales, anchored scales produced larger
    discrepancies
  • Baron et al., Effect of assessment method on the
    discrepancy between judgments of health disorders
    people have and do not have.

14
Study 2
  • Web-based n99 (ages 16-68 median 36 22 male)
  • Rated series of health conditions
  • With vague or better-defined scale
  • Vague e.g., "100 is a very good quality of
    life"
  • Better-defined e.g., "100 is as good as that of
    someone with a meaningful job, friends, family,
    and good health"
  • For self or other
  • Then stated whether they had the condition
  • Conditions
  • Asthma
  • Back pain
  • Insomnia
  • Shortness
  • Overweight
  • Nearsightedness
  • Acne
  • Smoking habit
  • Arthritis
  • Heart disease

15
Study 2 results
  • Self-ratings consistently higher than other
    ratings
  • Have/have not discrepancy was larger with
    better-defined scale than with vague scale

16
Self-deception by patients?
  • Jason Riis et al. (in progress)
  • Palm Pilots given to 60 end stage renal patients
    dialysis 3 times per week.
  • 28 matched (age, gender, educ., race) healthy
    controls
  • Palms carried for 7 days beeped randomly in each
    90 minute segment of day
  • On each beep, respondent asked 12 questions,
    including

17
Please tap the button below that best describes
the mood you were feeling just before the Palm
Pilot beeped
  • 2 Very pleasant
  • 1 Slightly pleasant
  • 0 Neutral
  • -1 Slightly unpleasant
  • -2 Very unpleasant
  • When Palms returned, subjects estimated mood
    distributions on the above scale
  • Last Week (during which they carried the palm)
  • Typical Week
  • Dialysis Scenario
  • Controls (Following presentation of a dialysis
    scenario "Imagine that you had dialysis")
  • Patients As in the scenario no other health
    problems.
  • Other Person (Someone else your age with same
    health)
  • Healthy
  • Controls In perfect health
  • Patients If never had kidney trouble

18
Main results
19
Conclusions so far..
  • Discrepancy not due to
  • mismatch between populations
  • scale renorming
  • patient misrepresentation (to self or other)
  • Misconstrual may contribute

20
Mispredictions by nonpatients?
  • focusing illusion (Kahneman Schkade Wilson,
    Gilbert et al.)
  • underprediction of adaptation

21
Tests of focusing illusion
  • Subjects in all studies were prospective
    Philadelphia jurors

22
First defocusing task life domains
  • How much do you think having a below-the-knee
    amputation would affect
  • Your overall health?
  • Your standard of living?
  • Your work?
  • Your love life?
  • Your family life?
  • Your social life?
  • Your spiritual side of your life?
  • Your leisure activities, such as hobbies,
    pastimes, travel, and entertainment?

23
Disability Ratings Before and After Defocusing
Exercise
  • QoL Rating (0 - 100)
  • Disability N Before After P
  • Paraplegia 53
  • Below-knee 52
  • amputation

58.5 78.1
51.8 72.3
0.02 0.01
24
Second defocusing task concrete events
  • If you had below the knee amputation/paraplegia,
    what would your experience of these things be
    like compared to now?
  • visiting with friends and/or family
  • paying bills and taxes
  • vacation and travel
  • getting caught in traffic
  • physical recreational activities
  • arguing with family and/or friends
  • reading and/or watching TV or movies
  • coping with death and/or illness in the family

25
Concrete Events Defocusing Results
  • QoL Rating (0 - 100)
  • Disability N Before After P
  • Paraplegia 50
  • Paraplegia 51
  • BKA 51
  • BKA 51

55 - 71 -
51 45 72 67
.41 .05 .27 .34
26
Third defocusing task time weighted
  • Think about the past day, starting from when you
    woke up yesterday to when you woke up this
    morning. What did you do yesterday? In the
    spaces provided, we would like you to list the
    things that took up the most amount of time from
    yesterday when you woke up to today when you woke
    up.
  • Subjects were asked to imagine how these five
    activities would be affected if they had the
    disability in question.

27
Time Weighted Defocusing Results
  • QoL Rating (0 - 100)
  • Disability N Before After P
  • Paraplegia 57
  • Paraplegia 60
  • BKA 53
  • BKA 54

.59 .23 .60 .08
51 - 75 -
50 45 74 67
28
Fourth Defocusing Task Changes for Better or
Worse
  • To get subjects to think more broadly about
    disabilities
  • We asked them to think about aspects of their
    live that would probably
  • change for the better
  • be unchanged
  • change for the worse

29
Changes Results
  • QoL Rating (0 - 100)
  • Disability N Before After P

Paraplegia 105 53 55
.09 Paraplegia 103 -- 57
.46 BKA 117 75 75
.31 BKA 106 -- 73
.29
30
Are Disability Ratings Influenced by Failure to
Consider Adaptation?
  • Adaptation exercise
  • Think about one emotionally difficult life
    experience that happened to you at least 6 months
    prior to now
  • At the end of those 6 months would say you felt
  • Much worse
  • About the same
  • Much better than you would have predicted

31
Adaptation Results
  • QoL Rating (0 - 100)
  • Disability N Before After P
  • Paraplegia 123
  • Paraplegia 56

.003 .001
47 -
52 62
32
Should we not care about environmental change (or
forget about road safety)?
  • knowledge of these results has little effect on
    willingness to pay, etc.. (we may not understand
    why, but there may be a good reason)
  • happiness/quality of life matters, but doesn't
    include everything we care about..
  • quantity and quality of well-being (Skorupski)
  • children
  • hitchhiking
  • mountaineering
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