Title: Outcomes Multisystemic Impact: Fibromyalgia
1OutcomesMulti-systemic ImpactFibromyalgia
- George A Wells
- Department of Epidemiology and Community
Medicine
- University of Ottawa
2Fibromyalgia
- chronic musculoskeletal disorder characterized by
widespread pain, exquisite tenderness at specific
anatomic sites and other clinical manifestations
such as fatigue, sleep disturbance and irritable
bowel syndrome (Bradley and Alarcon) - ACR 1990 criteria for classifying patients with
fibromyalgia
- widespread pain for at least 3 months (pain in
left and right sides of body pain above and
below waist and axial skeletal pain)
- tenderness in at least 11 of 18 tender points
3Fibromyalgia
- Controversy
- medicalization of unrelated symptoms
- syndrome (occurring with other diseases)
- defined disorder
- Controversy
- What are the most appropriate outcome measures?
4Outcome Measures
- Types of outcome measures (Fibromyalgia)
- Choosing outcomes
- Development and selection of outcomes
- Overall response criteria
- Minimal clinically important difference
- Low disease activity state
5Outcome Measures
- Types of outcome measures (Fibromyalgia)
- Choosing outcomes
- Development and selection of outcomes
- Overall response criteria
- Minimal clinically important difference
- Low disease activity state
6Types of Outcome Measures(Fibromyalgia)
- Karjalainen K, et al
- Multidisciplinary rehabilitation for
fibromyalgia and musculoskeletal pain in working
age adults
- Cochrane Collaboration Review 2003
- Busch A, et al
- Exercise for treating fibromyalgia syndrome
- Cochrane Collaboration Review 2002
- Rossy LA, et al
- A meta-analysis of fibromyalgia treatment
interventions
- Ann Behav Med. 1999
7Types of Outcome Measures
- Constructs
- Pain
- Tender points
- Physical function
- Global well being or perceived improvement
- Self efficacy
- Fatigue and sleep
- Psychological function
- Quality of life
8Types of Outcome Measures
- Pain
- visual analogue scale
- ordinal scale
- pain drawings
- Regional Pain Scale (RPS)
- (Wolfe, J Rheumatol 2003)
9Types of Outcome Measures
- Tender points
- pain threshold of tender points using
dolorimetry
- tenderness to thumb pressure
10Types of Outcome Measures
- Physical function
- Self-reported physical function
- FIQ Physical Impairment subscale
- FHAQ
- Musculoskeletal performance
- grip strength
- hip and knee extension strength
- sit and reach test
- Cardiorespiratory fitness
- submaximal or maximal treadmill or cycle
ergometer tests
- 6 minute walk
11Types of Outcome Measures
- Global well being or perceived improvement
- physician rated change
- FIQ total score
12Types of Outcome Measures
- Self efficacy
- Arthritis Self-efficacy Questionnaire
13Types of Outcome Measures
- Fatigue and sleep
- FIQ fatigue subscale
- sleep VAS
14Types of Outcome Measures
- Psychological function
- FIQ subscales for depression and anxiety
15Types of Outcome Measures
- Quality of life / Generic Functional Status
- Short Form 36 (SF36)
- Sickness Impact Profile (SIP)
- Health Assessment Questionnaire (HAQ)
16Fibromyalgia Impact Questionnaire (FIQ)
- brief 10-item self-administered instrument
- measures
- physical functioning
- work status
- depression
- anxiety
- sleep
- pain
- stiffness
- fatigue
- well-being
- (Burckhardt, Clark, Bennett, J Rheumatol 1991)
17- Were you able to
- a. Do shopping
- b. Do laundry with a washer and dryer
- c. Prepare meals
- d. Wash dishes/cooking utensils by hand
- e. Vacuum a rug
- f. Make beds
- g. Walk several blocks
- h. Visit friends/relatives
- I. Do yard work
- j. Drive a car
- 0 Always 1 Most times 2 Occasionally 3 Never
18- Of the days in the past week, how many days did
you feel good?
- 1 2 3 4 5 6 7
- How many days in the past week did you miss work
because of your fibromyalgia? 1 2 3 4
5
- When you did go to work, how much did pain or
other symptoms of your fibromyalgia interfere
with your ability to do your job?
- How bad has your pain been?
- How tired have you been?
- How have you felt when you got up in the
morning?
- How bad has your stiffness been?
- How tense, nervous or anxious have you felt?
- How depressed or blue have you been?
- Questions 4 10 assessed using a VAS
19Fibromyalgia Health Assessment Questionnaire
(FHAQ)
- Are you able to (over the past week)
- a. bending
- b. dressing
- c. wash body
- d. getting in and out of car
- e. vacuum
- f. stand up from chair
- g. reach overhead
- h. run errands
- 0 Without any difficulty 1 With some
difficulty
- 2 With much difficulty 3 Unable to do
- (Wolfe et al, J Rheumatol, 2000)
20Outcome Measures
- Types of outcome measures (Fibromyalgia)
- Choosing outcomes
- Development and selection of outcomes
- Overall response criteria
- Minimal clinically important difference
- Low disease activity state
21Choosing Outcomes
- objective measurements (validated and accepted to
represent appropriate efficacy criteria)
- reduced or reversed disease progression
- improved quality of life
- reduced mortality
- clinical global impression (physician, patient)
- improved symptomatology of patient
- biochemical measures (assessing underlying
disease state)
22Patients desire the following
- 1) to live as long as possible death
- 2) to be normally functioning
disability
- 3) to be free of pain, psychological,
- physical, social and other
- symptoms discomfort
- 4) to be free of iatrogenic
- problems from treatments drug s/e
- 5) to remain solvent destitution
23Identifying the best outcomes
- influence physicians decision
- combination of outcomes thats most practical and
useful
- hard measurement
- change in endpoint that would be clinically
significant
24Identifying the best outcomes influence
physicians decision
- Outcome measurement procedures in routine
rheumatology outpatient practice in Canada /
Australia
- How often do you serially use the following
assessment techniques for longitudinally
monitoring the efficacy of antirheumatic drug
therapy in your adult fibromyalgia outpatient
practice?
25Identifying the best outcomes influence
physicians decision
- Never Occasionally Usually
Always
- Canada
- Quality of sleep 11 11 28
50
- Fatigue 13 13 29 45
- No. tender points 17 15 29
39
- Skinfold tenderness 47 25 19
9
- Australia
- Quality of sleep 18 8 42
32
- Fatigue 21 14 43 23
- No. tender points 38 22 30
10
- (Bellamy J Rheumatol 1998, 1999)
26Outcome Measures
- Types of outcome measures (Fibromyalgia)
- Choosing outcomes
- Development and selection of outcomes
- Overall response criteria
- Minimal clinically important difference
- Low disease activity state
27Criteria for Development and Selection of Outcomes
- Comprehensive (content validity)
- - includes appropriate components of health
- Credibility (face validity)
- - appears sensible and interpretable
- Accuracy (criterion validity)
- - consistently reflects true clinical status of
patients
- Sensitivity to change (discriminant validity)
- - detects smallest clinically important
difference
- Biological sense (construct validity)
- - matches hypothesized expectations when
compared with other indirect measures
28Health Measurement
- Reliability
- Validity
- Sensitivity to Change
29Reliability
- Reflection of the amount of error, both random
(mechanical inaccuracy, measurement mistakes) and
systematic, inherent to any measurement
- Determines how reproducible is the scale under
different conditions
30Reliability
The reliability coefficient expresses the
proportion of the total variance in the
measurements (denominator), which is due to true
differences between subjects (numerator)
31Reliability
- Reproducibility
- Test-retest reliability
- Intra-rater reliability
- Inter-rater reliability
- Internal consistency of a scale (correlation
among items composing an instrument)
32Reliability Reproducibility
- Intra-class correlation (ICC)
- (based on ANOVA)
- Pearsons r
- Kendalls index of concordance
- Kappa coefficient
- Bland and Altman
33Reliability Reproducibility
- Other considerations
- Observations as fixed factor
- test always done by same observers
- same items completed by all
- Observations as random factor
- observer varies
34Reliability Reproducibility
- Other considerations (contd)
- Observer nested within subject
- several subjects evaluated by several observers
- no observer common to more than one subjects
- One-way ANOVA
- subject as grouping factor
- multiple observations within each cell as
within-subject factor
35Reliability Reproducibility
- Other considerations (contd)
- multiple observations k
- multiple items on questionnaire
- multiple observers
- repeated use of an instrument
36Reliability Internal Consistency
- Represents the average of the correlations among
all items in the measure
- All the items should be tapping different
aspects of the same attribute
- items should be moderately correlate with each
other
- each should correlate with the total scale score
37Reliability Internal Consistency
- Item-total correlation
- checks homogeneity of scale
- correlation of individual item with scale score
omitting that item
- Pearson correlation (working rule 0.2)
- Split-half reliability
- splits scale in half, each half is correlated
with the other
- Spearman-Brown
- Kuder-Richardson 20
- scales with dichotomous items
- Cronbachs aplha
- scales with ordinal items
- should be 0.70 but
38Reliability Improving IT
- Reduce error variance
- observer training
- elimination of extreme observers
- improve scale design
- Increase true variance
- introduce items resulting in performance nearer
middle of scale
- modify descriptors on the scale
- Increase number of items
- as long as items not perfectly correlated
39Validity
- Determine the degree of confidence we can place
on inferences made based on the scores from the
scale
40Validity
- Content
- cover all domains of interest
- sufficient number of items
- inferred from experts
- Criterion
- test against a gold standard
- Concurrent
- gold standard and the new instrument are applied
at the same time
-
- Predictive
- gold standard is applied in the future
41Validity
- Construct
- if no gold standard exists
- based on conceptual definition of construct to be
measured
- defines hypotheses of what should or should not
correlate
- Correlational
- Convergent
- instrument tested should correlate with other
methods that measure same concept
-
- Divergent
- instrument should not correlate with other
methods that measure different themes
42Validity
- Construct (contd)
- Factorial analysis
- examines how items measure one or more common
themes
- analysis forms the questions into groups or
factors that appear to measure common themes with
each factor distinct from the others
- Multi-trait multi-method analysis
- method for considering convergent and
discriminant validity simultaneously
43Validity
- Evaluation using
- Correlations
- Receiver operator characteristic (ROC) curves
- 2x2 tables (sensitivity and specificity)
44Sensitivity to Change
- Ability of an instrument to detect small but
clinically important clinical
- Particularly important where subjective reports
of health status is one of the primary outcomes
of the trial
45Sensitivity to Change
- t-test
- compares means at baseline and follow-up
- Effect-size
- relates changes in mean score (from baseline to
follow-up) to the standard deviation of baseline
score
- ROC Curve
- Evaluate how a given change score can
discriminate between patients who improve from
those who do not
46FIQ
- (Burckhardt et al, J Rheumatol 1991)
- evidence of reliability and validity
- Reliability
- test-retest reliability correlations for FIQ
items ranged from 0.56 to 0.95
- Content validity
- assessed by calculating percent missing data
11 washing by hand item, 20 yard work item,
38 job working items
- Construct validity
- (1) correlational analysis comparing FIQ
items/scales to corresponding ones of AIMS
physical functioning item 0.67 pain 0.69
depression 0.73 anxiety 0.76 - (2) correlational analysis comparing FIQ items
with measures of symptom severity AIMS impact
analog (0.17 to 0.48), AIMS syndrome activity
(0.28 to 0.83) and tender points (0.14 to 0.74) - (3) factor analysis to determine if items of
physical functioning loaded on single factor (eg.
10 items of FIQ loaded on same factor)
47FIQ
- (Dunkl et al, J Rheumatol 2000)
- responsive to perceived clinical improvement
- Sensitivity to Change
-
- Patient Global
- Improvement FIQ mean (sd)
- Improved 34.11 (17.48)
- Unchanged 46.92 (15.44)
- Worsened 57.92 (15.23)
- (Wolfe et al, J Rheumatol 2000)
- FIQ systematically underestimates functional
impairment by its handling of activities not
usually performed
486 Minute Walk (6-MWT)
- (Pankoff et al, J Rheumatol 2000)
- not a valid predictor of cardiorespiratory
fitness sensitive to change related to FIQ
score
- Sensitivity to Change
-
- Before After
- Exercise Exercise p-value
- 6-MWT, m 487 (75) 565 (58)
- PVO2, ml/kg/min 19.6 (4.5) 21.4 (4.8) 0.001
- FIQ Total 47.9 (12.1) 38.0 (12.9) 0.012
- FIQ Phys 3.1 (1.7) 2.3 (1.9) 0.0.62
- Validity
- Correlation of change scores 6-MWT, PVO2
(r0.081)
- 6-MWT, FIQ Total (r0.592)
- 6-MWT, FIQ Phys (r0.245)
49Generic versus Specific
- The use of generic and specific quality of life
measures in fibromyalgia patients (Wolfe et al, J
Rheumatol 2000)
- Instruments
- Generic SF-36, HAQ, MHAQ, IHAQ
- Specific FIQ, FHAQ
- Methods
- FM patient (FIQ Boston 1928, San Antonio 233, US
multicenter 333, Beer Sheva 100 HAQ National
Data Bank for Rheumatic Diseases 1438 SF-36
Wichita 760) - Rasch analysis (based on item response theory)
- Results
- no functional assessment questionnaire works
well
- FIQ underestimates functional impairment by
handling activities not usually performed
- developed FHAQ (subset of HAQ) with appropriate
metric properties and should function well need
to assess sensitivity to change
50Outcome Measures
- Types of outcome measures (Fibromyalgia)
- Choosing outcomes
- Development and selection of outcomes
- Overall response criteria
- Minimal clinically important difference
- Low disease activity state
51Improvement Criteria
- Core set of outcome measures
- reliable, valid, sensitive to change
- consider in combination (patient profiles)
- Conduct survey of clinicians providing
information on randomly selected patients from
clinical trials near thresholds of improvement
- for outcome measures, data at baseline, end of
study and percentage change provided for each
patient
- surveyed clinicians indicated whether each
patient improved
- analysis focused on patients characterized
improved by vast majority of surveyed
clinicians
52Improvement Criteria
- Statistical analysis of clinical trial data for
selecting definition of improvement
- data sets assembled of appropriate placebo
controlled trials with very efficacious
interventions and included outcome measures
- improvement criteria selected that best
discriminates an efficacious intervention from
placebo
- Evaluate definition of improvement in large
comparative trials
- Improvement definition selected based on ease of
use and credibility
- with experienced trialists ranking face validity
53Preliminary Criteria for Response to Treatment in
Fibromyalgia
- (Simms et al, J Rheumatol 1991)
- Methods
- clinical trial of amitriptyline vs placebo for
treating fibromyalgia (amitriptyline was found to
be significantly more efficacious)
- proxy response treatment with effective
medication (amitripyline)
- outcome measures available physician global,
patient global, pain, fatigue, sleep, tender
point score
- used logistic regression(s) to determine
predictors of response
- considered combinations of outcome measures and
plotted ROC curves to determine criteria with
optimal sensitivity / specificity
- applied criteria to unreported trial
(cyclobenzaprine vs placebo)
54Preliminary Criteria for Response to Treatment in
Fibromyalgia
- Criteria
- (1) physician global assessment score
- (0 extremely well, 10 extremely poorly)
- (2) patient sleep
- (0 sleeping extremely well, 10 sleeping
extremely poorly)
- (3) tender point score
- (maximum possible 20)
- Future Work
- as sensitive and clinically relevant outcomes
are developed, can apply this methodology to
refine criteria
55Outcome Measures
- Types of outcome measures (Fibromyalgia)
- Choosing outcomes
- Development and selection of outcomes
- Overall response criteria
- Minimal clinically important difference
- Low disease activity state
56Two Steps
- Studies of Responsiveness
- A classification system (Beaton, Bombardier et
al, J Rheumatol 2003)
- Minimal Clinically Important Differences
- A review of methods (Wells, Tugwell et al, J
Rheumatol 2003)
57Studies of Responsiveness
- clinical studies are often aimed at
discriminating between groups of interest
- differences are often change over time (eg.
response to therapy)
- change (within-patient change over time)
- differences (between patients)
- hybrid (between group differences of
within-patient change)
- studies of responsiveness evaluate the ability of
an outcome measure to accurately detect change
when it has occurred
58Construct of change in studies of responsiveness
- Each study defines the change/difference it is
examining
- Defined by three key features (axes)
- Setting individual versus group-level?
- Which data is being compared?
- What kind of change is being quantified?
59Key features addressed in defining
change/difference
60Key features addressed in defining
change/difference
61Key features addressed in defining
change/difference
Minimum potentially detectable
Observed in those estimated to have an important
difference/ change
Observed in those estimated to differ/ to have
changed
Observed in population
Minimum actually detectable beyond error
62- These 3 features are mutually independent and fit
together into a cube with each cell describing
the construct of change built into the study
of responsiveness - The cube becomes a classification system,
classifying the nature of discrimination (either
differences of changes) built into studies of
responsiveness
63Classification of discrimination (differences
and changes) in studies
3. both differences between changes within
2. changes within
Which?
1. differences between
2. - individual
Setting Who is the focus?
1. - group
1. 2. 3.
4. 5.
Minimum potentially detectable
Observed in those estimated to have an important
difference/ change
Observed in those estimated to differ/ to have
changed
Observed in population
Minimum actually detectable beyond error
What kind of change/difference
64Summary
- Responsiveness studies look at varying kinds of
change/difference
- Some will be helpful in pursuit of MCID
- Cube of discrimination helps to sort through
the literature
- Point to those articles that might be useful
- Separates out those that will not help
65Two Steps
- Studies of Responsiveness
- A classification system (Beaton, Bombardier et
al, J Rheumatol 2003)
- Minimal Clinically Important Differences
- A review of methods (Wells, Tugwell et al, J
Rheumatol 2003)
66- MCID
- a MCID can be considered as the smallest change
or difference in an outcome measure that is
perceived as beneficial and would lead to a
change in the patients management, assuming an
absence of excessive side effects and costs - Purpose
- to consider and classify the different methods
that have been used in detecting important
changes or differences for the purposes of
developing the MCID or an outcome measure - Method
- extensive literature search to retrieve all
relevant articles related to specific topics on
MCID
- methods section of the retrieved articles was
reviewed
- methodology followed was used to categorize study
according to the cube classification
67Methods for Determining Minimal Clinically
Important Differences
Which?
Patient Perspective
3. both differences between changes within
Clinical Perspective
- 1. Comparison to global rating
- Patients global ratings
- Clinical assessments
- Change scale MCID small change
- 2. Patient conversation
- Patients comparative ratings
- Clinical assessments
- Comparative ratings MCID small change
- 3. Consensus Development
- Clinicians examine statistics
- Compare groups
- MCID hypothetical RCT
- 4. Patient scenario scoring
- Clinicians suggest change
- Average response
- Assess change using options MCID chosen option
vs initial
- 5. Patient scenario comparison
- Clinicians contrast scenarios
- Average assessment
- Assess change using option. MCID small change
- 6. Prognostic rating scale
- Clinicians describe changes
- ROC analysis
- Prognostic rating
- 7. Data driven
- SEM
- Longitudinal change score
- SEM proxy for MCID
- 8. Improvement criteria
- Survey clinicians
- Patients near improvement threshold
- Improved if indicated by vast majority RCT data
- 9. Achieving treatment goals
- Patients followed
- Best improvement cut-point
- Treatment goals achieved ROC analysis
2. changes within
Clinician Perspective
1. differences between
Individual
Group
Minimum potentially detectable
Observed in those estimated to differ/ to have
changed
Observed in population
Minimum actually detectable beyond error
Setting
Observed in those estimated to have an important
difference/ change
Discerning important improvement
Type of Change/Difference
68Methods for Determining Minimal Clinically
Important Differences
Which?
Patient Perspective
3. both differences between changes within
Clinical Perspective
2. changes within
Clinician Perspective
1. differences between
Individual
Group
Minimum potentially detectable
Observed in those estimated to differ/ to have
changed
Observed in population
Minimum actually detectable beyond error
Setting
Observed in those estimated to have an important
difference/ change
Discerning important improvement
Type of Change/Difference
69Summary
- most methods consider important change form the
viewpoint of a group of patients
- contrast of groups considered from all
perspectives
- for setting, only a few methods considered within
individuals
- need more development of methods that focus on
individuals
70Outcome Measures
- Types of outcome measures (Fibromyalgia)
- Choosing outcomes
- Development and selection of outcomes
- Overall response criteria
- Minimal clinically important difference
- Low disease activity state
71Low Disease Activity State Workshop
- Objectives of workshop
- to meet the many challenges that exist in
determining a low disease activity state by
reviewing the concepts and terminologies
associated with a low disease activity state and
determining the processes for developing an
operational definition of low disease activity
state - working definition for low disease activity
state
- a state that is deemed a useful treatment
target by patients and physicians
72Research Agenda Overview
- Review and obtain consensus on the specific
outcomes that should be considered in the
definition of low disease activity state for RA
- Design and conduct an assessment of evaluating
the outcomes sleep and energy /fatigue using
valid and reliability measuring instruments
- Design and conduct an opinion-based and
observation-based approach for the determining a
low disease activity state for RA
- Design and conduct a study to compare the
attributes of a weighted, unweighted and tree
approach for formulating a low disease activity
state for RA
73Next Steps
- To come to a concrete definition
- opinions of physicians and patients will be
collected
- based on these opinions, candidate definitions
will be composed and tested in datasets
- results of this work will be collated and
circulated prior to the workshop
- at the workshop, discussions will continue in
plenary and small group sessions to resolve
remaining issues, and come up with one or a
limited number of top candidates that can then
be validated
74 George A. Wells Department of Epidemiology a
nd Community Medicine University of Ottawa Ott
awa, Ontario, Canada e-mail gwells.uottawa.c
a