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Title: WHOSE QUALITY OF LIFE Exploring Discrepancies Between Health State Evaluations of Patients and the G


1
WHOSE QUALITY OF LIFE?Exploring Discrepancies
Between Health State Evaluations of Patients and
the General Public
  • Peter A. Ubel, M.D.
  • Program for Improving Health Care Decisions
  • Ann Arbor VAMC
  • University of Michigan Health System

2
Acknowledgements
  • George Loewenstein
  • Jack Hershey
  • Jonathan Baron
  • Christopher Jepson
  • Norbert Schwarz
  • Angie Fagerlin
  • Jason Riis
  • Dylan Smith
  • Andrew Siderowf

3
And, of course . . .
David Asch
4
Disability Paradox
  • People with disabilities are often much happier
    than non-disabled people think they would be

5
Lottery Winners Vs. Accident Victims

6
Lottery Winners Vs. Accident Victims
  • In a famous study, happiness was measured one
    year after
  • winning the lottery


7
Lottery Winners Vs. Accident Victims
  • In a famous study, happiness was measured one
    year after
  • winning the lottery
  • developing paraplegia or quadriplegia from an
    automobile accident

Vs.
8
Lottery Winners Vs. Accident Victims
  • Results Relatively little difference in quality
    of life and happiness

Vs.
9
Discrepancy Between Patients and Non-patients
  • Utility of dialysis
  • patients 0.56
  • non-patients 0.39
  • Utility of having a colostomy
  • patients 0.92
  • non-patients 0.80

10
Economic Importance of This Discrepancy
  • Whos utilities should we include in cost
    effectiveness analyses?

11
Clinical Importance of this Discrepancy
  • Whos quality of life should guide clinical
    decision making?

12
Goals of Talk
  • Discuss possible factors contributing to
    discrepancies between health state evaluations of
    patients and the general public
  • Show that an answer to the question of whos
    values to measure depends on source(s) of the
    discrepancy.

13
From the Outset
  • Agnostic view of whos to blame for
    discrepancies
  • Clearly public mispredicts
  • how they would answer QoL questions
  • But that doesnt mean they mispredict
  • QoL
  • Patients might give faulty QoL reports

14
From the Outset
  • I will explore potential sources of discrepancies
    arising from
  • patient error
  • public error
  • different points of view

15
From the Outset
  • I will focus on physical disabilities
  • Where the discrepancy usually takes the following
    form
  • QoL patient gt QoL public
  • I will ignore illnesses/disabilities that have a
    big affect on mood
  • e.g. depression, pain, chronic fatigue

16
From the Outset
  • There is no gold standard for measuring
  • utility
  • happiness
  • QoL
  • life satisfaction
  • Whats more, all these concepts are
  • multifaceted, complex,
  • viewed differently by different people

17
Potential Source of Discrepancies Incomplete
health state descriptions
18
Incomplete Health State Descriptions
  • Health state descriptions by definition are
    incomplete
  • patients will be able to fill in much of the
    missing data
  • but non-patients will not
  • they might leave the details out
  • or they might fill it in as best they can, with
    or without bringing their own biases to bear

19
Global versus Momentary QoL
20
Global versus Momentary QoL
  • People have difficulty describing average
    emotions over time
  • There may be a discrepancy between
  • moment to moment SWB
  • general evaluation of SWB

21
No pain, no gain
High
Pain
Pain
Low
60
60
90
Time
Time
22
Imagine a Dialysis Patients Quality of Life
  • How happy are you right now (0 - 10)?
  • 6
  • 5
  • 5
  • 6
  • 8
  • How happy do you feel generally?
  • 7

23
Are Dialysis Patients as happy as they say?
  • Collected momentary and global health ratings
    from dialysis patients
  • Dialysis patients often experience hour to hour
    shifting of energy levels
  • How well do they sum up these experiences?

24
(No Transcript)
25
Subjects
  • Patients
  • 6 dialysis centers. All 203 patients asked to
    participate
  • 116 couldnt or wouldnt
  • 63 participated (35)
  • Controls
  • Newspaper ads
  • Screened for major health conditions
  • 35 participated

26
Self Reported Health
In general, would you say your health is
CONTROLS 2.3
PATIENTS 3.7
27
Three stages of data collection
  • Entry Interview
  • Palm-pilot data
  • Exit Interview

28
Entry Percentage of time, during a typical
week, that you are in each of the following moods?
29
Palm Week
  • Carried Palms for 1 week
  • Palms beeped 8 times per day
  • The Palm could be put to sleep

30
Palm Week
31
Predicted Moods
32
Predicted vs. Actual Mood
Predicted Mood
p .19
33
Specific Moods (0-6 scale)- Palm Data -
34
Selection Effect?
  • The 116 non-participating patients were asked for
    their average mood.
  • M .74
  • 56 were 2 or 1
  • 9 were 2 or 1

35
Dialysis
36
Dialysis
37
Dialysis
38
Dialysis
39
Healthy (Never had kidney problems )
40
Healthy (Never had kidney problems )
41
Conclusions
  • Dialysis patients show hedonic adaptation.
  • Healthy people do not anticipate this adaptation
    and this can explain at least part of the
    discrepancy.
  • Patients themselves do not seem to appreciate the
    extent to which they have adapted.

42
Who Wants to Know?
43
Who wants to Know?
  • Imagine a person with PKS disease receiving the
    following phone call
  • We are calling people with Parkinsons Disease
    to find out about their quality of life. . .
  • How does the conversational context influence
    responses?
  • I know that he knows that I have Parkinsons . .
    .

44
Who wants to know?
  • Conversational context likely to push in two
    directions
  • QOL up Given that I have Parkinsons, I am
    doing rather well . . .
  • QOL down by priming effect How happy am I? . .
    . Well now that you have reminded me about my
    Parkinsons . . .

45
Who wants to know Study Design
  • Call PKS patients cared for at UPENN
  • half given intro like above
  • half given other intro We are calling people in
    the Northeastern portion of the United States . .
    .

46
Who wants to know Study Design
  • Ask them the following questions
  • Life satisfaction
  • Health Satisfaction
  • Why in that order?
  • Let me take a quick detour

47
Is there more to life than love?
  • Q1 How satisfied are you with your love life?
  • Q2 How satisfied are you with your life overall
  • correlation 0.7
  • Ask the second question before the first
  • correlation -0.1

48
Who wants to know results
  • No difference in life satisfaction between two
    groups
  • both groups had high satisfaction
  • Big change in how important health appeared to be
    in determining peoples overall satisfaction
  • Parkinson group - life satisfaction explained 50
    by health satisfaction
  • Northeastern USA group life satisfaction
    explained lt 10 by health satisfaction

49
Focusing Illusion
50
Focusing Illusion
  • What do people think about when they imagine
    paraplegia?
  • being in a wheel chair
  • activities affected by paraplegia
  • What will they probably not consider?
  • activities unaffected by paraplegia
  • watching T.V.
  • enjoying a good conversation
  • savoring a tasty meal

51
Focusing Illusion (continued)
  • People might overestimate the emotional
    impact of events by disproportionately focusing
    on narrow life domains influenced
    by the events
  • football fans
  • college students in California
    and Michigan

X
52
Focusing Illusion Implications
  • To the extent that a focusing illusion
    contributes to the discrepancy
  • public utility responses are flawed
  • Implications
  • an argument for elicitations from patients
  • or for finding ways to eliminate the focusing
    illusion

53
Eliminating the focusing illusion Defocusing
Studies
  • General design
  • QoL of paraplegia or BKA
  • ask subjects to estimate QoL before and after
    defocusing task
  • Hypothesis QoL estimates will increase after the
    defocusing task

54
Subjects
  • Prospective jurors in Philadelphia County
    courthouse

55
Subjects
  • Prospective jurors in Philadelphia County
    courthouse
  • Reimbursement

56
First Defocusing TaskLife 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?

57
Disability Ratings Before and After Defocusing
Exercise
  • QoL Rating (0 - 100)
  • Disability N Before After P
  • Paraplegia 53
  • BKA 52

58.5 78.1
51.8 72.3
0.02 0.01
58
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

59
Concrete Events Defocusing Results
  • QoL Rating (0 - 100)
  • Disability N Before After P
  • Paraplegia 50
  • Paraplegia 51
  • BKA 51
  • BKA 51

55 - 71 -
60
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
.41 .05
61
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
62
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.

63
Time Weighted Defocusing Results
  • QoL Rating (0 - 100)
  • Disability N Before After P
  • Paraplegia 57
  • Paraplegia 60
  • BKA 53
  • BKA 54

51 - 75 -
64
Time Weighted Defocusing Results
  • QoL Rating (0 - 100)
  • Disability N Before After P
  • Paraplegia 57
  • Paraplegia 60
  • BKA 53
  • BKA 54

51 - 75 -
50 45
.59 .23
65
Time Weighted Defocusing Results
  • QoL Rating (0 - 100)
  • Disability N Before After P
  • Paraplegia 57
  • Paraplegia 60
  • BKA 53
  • BKA 54

51 - 75 -
50 45 74 67
.59 .23 .60 .08
66
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
    life that would probably
  • change for the better
  • be unchanged
  • change for the worse

67
Changes Results
  • QoL Rating (0 - 100)
  • Disability N Before After P

Paraplegia 105 53 Paraplegia
103 -- BKA 117 75
BKA 106 --
68
Changes Results
  • QoL Rating (0 - 100)
  • Disability N Before After P

Paraplegia 105 53 55
.09 Paraplegia 103 -- 57
.46 BKA 117 75 BKA
106 --
69
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
70
Focusing Illusion Implications
  • To the extent that a focusing illusion
    contributes to the discrepancy
  • public utility responses are flawed
  • Implications
  • an argument for elicitations from patients
  • or for finding ways to eliminate the focusing
    illusion

71
Response Shift
72
Response Shift
73
What is a 10 to an 85 Year Old
My health is 9 out of 10
74
Evidence for possible response shift
Note 0-5 scale
75
Research in Progress Comparison Group
  • Survey elderly people
  • Have them rate their health on a 0 - 100 scale
  • 100 perfect health
  • 100 best possible health for your age
  • 100 best possible health for a 20 year old
  • Among other things, will be able to see which
    measure best predicts other self reported health
    responses

76
Preliminary Results
  • 100 perfect health
  • mean rating 73
  • 100 best possible health for your age
  • mean rating 73
  • 100 best possible health for a 20 year old
  • mean rating 65

77
More Research in Progress How does lung
disease compare
  • Ask patients and non-patients to rate QoL of 30
    health and non-health related conditions
  • Dandruff, nasty boss, long commute, asthma, etc.
  • Have them rate moderate shortness of breath from
    lung disease
  • Our dream results . . .

78
Dream 1 No Response Shift
79
Dream 2 Response Shift
80
Another explanation to considerTheory driven
recall bias
81
A useless study skills course
  • Measured study skills before course
  • suppose mine are 6 out of 10
  • I know that mine are 6 out of 10
  • Measure study skills again after course
  • still 6 out of 10
  • and I still believe they are 6 out of 10
  • but I think I am much better now. How?

I remember having skills of 4 out of 10 before
the course
82
Separating response shift from recall bias
  • Conducting longitudinal studies of adaptation to
    new illnesses and disabilities
  • colostomy
  • amputation
  • spinal cord injury

83
Separating response shift from recall bias
  • Have recall measures and follow up surveys
  • some of which are not susceptible to response
    shift
  • e.g. Percent time in good mood
  • compare recall bias for these versus other
    measures

84
Adaptation
85
Adaptation
  • For adaptation to contribute to the discrepancy,
    2 things must occur
  • 1. Patients must adapt
  • 2. Non-patients must underestimate adaptation
  • by not considering it
  • or by not believing it

86
What is Adaptation?
  • Physical
  • Emotional
  • Strong emotions do not persist
  • reduction in expectations
  • no longer care about taking long walks in the
    woods
  • people with arthritis stop playing the piano and
    start singing

87
Are Disability Ratings Influenced by Failure to
Consider Adaptation?
  • Adaptation exercise
  • Think of bad event from more than 6 months ago
  • more or less upsetting than predicted
  • emotions stronger or weaker over time?
  • List the 2 most upsetting things about becoming
    paraplegic
  • Do you think these 2 things would become more or
    less upsetting over time?

88
Adaptation Results
  • QoL Rating (0 - 100)
  • Disability N Before After P
  • Paraplegia 123
  • Paraplegia 56

.003 .001
47 -
52 62
89
Adaptation Implications
  • If failure to consider adaptation influences the
    discrepancy,
  • one could argue that public utility elicitations
    are flawed and must be improved or abandoned

90
Adaptations Implications (continued)
  • However, one could also debate whether adaptation
    ought to influence utility responses
  • Suppose people are on an hedonic treadmill
  • whatever happens to people, they return to
    baseline SWB
  • then, health interventions that improve the
    quality of life would be significantly devalued
  • is that what is best for society?

91
Where do we go from here?
92
Where do We Go from Here?
  • Conduct more research, of course
  • But dont expect to find the truth anytime soon
  • is there a gold standard for measuring utility or
    happiness or quality of life?
  • Policy planners need to decide what it is that
    health care and other public interventions ought
    to influence
  • function
  • happiness
  • subjective quality of life
  • etc.

93
Health State Description Ambiguity About
Recency of Onset
94
Health State Description Ambiguity About
Recency of Onset
  • Health state descriptions are often ambiguous
    about when the ailments in question began
  • imagine you are completely blind

95
Program for Improving Health Care
Decisions www.med.umich.edu/pihcd
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