Title: Science Behind the New ConditionSpecific CATs
1Science Behind the NewCondition-Specific CATs
- Dennis L. Hart, PhD, PT
- Director of Consulting and Research
- Focus On Therapeutic Outcomes, Inc., Knoxville,
TN - November 12, 2005
2We understand best those things we see grow from
their very beginnings. Aristotle in
Metaphysics About 350 BC Development of
potentiality to actuality
3Progression of Thought
- Started with paper and pencil surveys
- Both general health status and condition specific
surveys - Very lengthy and cumbersome
- Time consuming
- Asked many questions that were not pertinent to
the patient - Functional status change measure was an effect
size no one understood it!
1992
Goal Always better!
4Progression of Thought
- Dropped condition-specific surveys and went with
general health-related quality of life surveys - Still lengthy and cumbersome
- Time consuming
- Asked many questions that were not pertinent to
the patient - Functional status change measure was effect size
no one understood it!
1994
5Progression of Thought
- Began progression to Computerized Adaptive
Testing technology using general health-related
quality of life surveys - Shorter and much less cumbersome
- Less time consuming
- Asked fewer questions that were more focused
clinician determined to be pertinent to the
patient - Was multidimensional
- Functional status measure became a linear 0 to
100 scale
1999
6Progression of Thought - NOW
- Refining Computerized Adaptive Testing technology
using condition-specific surveys and advanced
mathematics - Shorter, very focused
- Directly related to patients impairment and
level of ability mathematically precise AND
clinician determined to be pertinent to the
patient - Functional status measure still a linear 0 to 100
scale
2005
7New vs. Older CATsOrthopedic Care Type
- Cervical Older
- Shoulder New
- Elbow Older
- Wrist/Hand - Older
- Lumbar New
- Hip New
- Knee New
- Foot/Ankle - New
8Lower Extremity CATs
- Started with Binkley et als Lower Extremity
Functional Scale survey for patients with hip,
knee, or foot/ankle impairments - Why?
- Great psychometrics conceptually sound,
reliable, valid, responsive, low measurement
error - Well received by clinicians
- Great researchers with whom to work
9How did we develop the new CATs?
- PI software allowed use of Optional Surveys And
you used them!! - Started with n1,772 patients with intake LEFS
data - Analyzed the data using Item Response Theory
mathematics - Developed the CATs
10Why IRT Mathematics?
- IRT math has been used for 50 years in
educational and armed services research - Over 2 million GRE CAT examines taken
- Many standardized tests becoming CATs
- IRT allows good instrument development
- IRT drives CAT
- http//www.psych.umn.edu/psylabs/catcentral/
11Concepts that Drive IRT
- Unidimensionality measures one construct
- Functional status patients perception of their
ability to perform functional tasks described in
the FS items. - IRT mathematical model selection
- Measure of FS ability is related to the
difficulty of the FS item. - Differential Item Functioning patients with
same FS ability but from different groups answer
the item differently.
12Operating Characteristics of a CAT
- Start with a pool of calibrated items
- Select starting item most informative item
- Estimate FS ability with SE MLE
- Stopping rules
- SElt4 out of 100 FS units
- Change in FS is lt1 out of 100 FS units over the
last three items - Selecting the next item most informative item
given the current estimate of FS ability
13How Did the Analyses Go?
- Unidimensionality
- Supported one construct
- One item was deleted (rolling in bed) because of
local dependence - IRT Model Fit
- Model fit the data well, but one item did not fit
well (sitting for 1 hr), which was deleted - 18-item scale fit well, strong reliability,
discriminating ability
14Hierarchical Structure of 18-Item LEFS Scale
Item Responses
---------------------------------------------
--------- Item 1 1
2 3 4 5 5 TURNS 1
1 2 3 4 5 5
RUNUNEV
1 1
2 3 4 5 5 RUNEVEN 1
1 2 3 4 5
5 HOP
1
1 2 3 4 5 5
SQUAT
1 1 2
3 4 5 5 WALKMILE 1
1 2 3 4 5
5 HOBBY 1 1 2 3 4
5 5 STAND 1
1 2 3 4 5 5
HEAVY 1 1 2 3 4 5
5 STAIRS
1
1 2 3 4 5 5
WORK 1 1 2 3 4 5
5 WALK2BLK
1 1 2 3 4 5
5 LIFT 1 1 2 3
4 5 5 CAR 1
1 2 3 4 5 5
BATH 1 1 2 3 4 5
5 LIGHT
1 1
2 3 4 5 5
SHOE
1 1 2 3 4
5 5 WALKRM -----------
-------------------------------------------
-10 10 30 50 70
90 110
Items
Easy to Hard Level of Item Difficulty
Low to High FS Ability
15How Did the Analyses Go?
- DIF
- Items demonstrated DIF by body part effected
- For example, patients with knee impairments
perceived squatting as more difficult compared to
patients with foot or ankle impairments - So, separated sample by body part (hip, knee,
foot/ankle) and generated 3 CATs
16Lower Extremity CATs
- Used on average 6 items before a stopping rule
was satisfied. - Number of items used ranged from 4 to 17.
17Number of Items Error by FS Ability Knee CAT
Items/Error
FS Ability
18Comparison of FS Measures CAT vs. All Items
Knee N949 R.97
19Discriminant Validity
- FS CAT ability measures discriminated patients in
similar ways as the FS ability measures that did
not use a CAT. - Acuity
- Age
20Shoulder CAT
- Used the Shoulder Flexi Scale from Cook and
Roddey - Again, great psychometrics
- Started with 60 items
- Tested unidimensionality, item fit, DIF, etc.
- Developed the shoulder CAT using 37 items
21Hierarchical Structure of 37-Item Shoulder Scale
---------------------------------------------
--------- Item 1 1
2 3 4 5 5 BULB 1
1 2 3 4 5 5
BCKSEATRE 1 1 2 3
4 5 5 OVRHEADSHE 1
1 2 3 4 5 5
MEDBOX 1 1 2 3 4
5 5 BED 1 1
2 3 4 5 5 OVRHEAD1 1
1 2 3 4 5
5 SKILLET 1 1 2
3 4 5 5 STRING 1
1 2 3 4 5 5
COLLAR 1 1 2 3 4
5 5 BALLUND 1 1
2 3 4 5 5
POTATOES 1 1 2 3 4
5 5 SLIDE 1 1
2 3 4 5 5 COMB 1
1 2 3 4 5
5 POCKET 1 1 2
3 4 5 5 SHELF 1
1 2 3 4 5 5
SAFESTRP 1 1 2 3 4
5 5 PULLBOX 1 1
2 3 4 5 5
WHEELSA 1 1 2 3 4
5 5 SHOULDER1 1 1
2 3 4 5 5
CROOK 1 1 2 3 4
5 5 JAR 1 1 2
3 4 5 5 PULLCHAIR 1
1 2 3 4 5
5 TIE 1 1 2 3 4
5 5 PUSHCHAIR 1
1 2 3 4 5 5
CHEST 1 1 2 3 4
5 5 JARSTEADY 1 1
2 3 4 5 5 SALT 1
1 2 3 4 5
5 DEODORANT 1 1 2 3
4 5 5 WATER 1
1 2 3 4 5
5 TABLE 1 1 2 3 4
5 5 UNDERPANTS 1 1
2 3 4 5 5
SOCKSON 1 1 2 3 4 5
5 EAROPP 1 1 2
3 4 5 5
FACESA 1 1 2 3 4 5
5 FAUCETSA 1 1 2
3 4 5 5
FLUSHING 1 1 2 3 4 5
5 GLASSES ------------------
------------------------------------ -6
-4 -2 0 2 4
6
Items
Easy to Hard Level of Item Difficulty
No Holes!
22Lumbar CAT
- Used the Back Pain Functional Scale from
Stratford et al and physical functioning items
from Ware et al and Hart - Again, great psychometrics
- Started with 28 items
- Tested unidimensionality, item fit, DIF, etc.
- Developed the lumbar CAT using 25 items
23Hierarchical Structure of 25-Item Lumbar Scale
-----------------------------------------
--------- Item 1
1 2 3 3 VIGOR
1 1
2 3 3 SPORT
1
1 2 3 4 5
6 6 HEAVY 1 1
2 3 3 WALKMILE 1
1 2 3 3
MODERATE
1 1
2 3 3 LIFTGROC 1
1 2 3
3 STAIRS 1 1 2
3 3 BLOCKS 1 1
2 3 4 5 6 6
HOBBY 1 1 2 3 4 5
6 6 BENDING
1 1
2 3 4 5 6
6 STAND 1 1 2
3 3 LIFTOVER 1 1
2 3 3
VACATION 1 1 2
3 3 STAIRONE 1 1
2 3 4 5 6 6
WORK
1 1 2 3 4
5 6 6 STAIRS 1
1 2 3 3
CULTURAL 1 1 2 3 4 5
6 6 DRIVE 1 1 2
3 4 5 6 6 LIFT 1
1 2 3
3 ONEBLOCK 1 1 2
3 3 BED
1
1 2 3
3 CHAIR 1 1 2 3 4
5 6 6 SHOES
1 1 2 3
3 WALKRM 1 1
2 3 3
BATHING -----------------------------------
--------------- -5 -4 -3 -2 -1
0 1 2 3 4 5
Limited Holes
3 vs 6 Responses
Easy to Hard Level of Item Difficulty
Items
24Bottom Line
- CATs are more efficient because they direct a
limited number of the most informative items to
the patient. - CATs are more effective because they match the
level of difficulty of the item with the level of
ability of the patient. - CAT measures are as discriminating as measures
that use all items. - Condition-specific CATs direct more pertinent
items to the patient and facilitates clinical
interpretation. - FUTURE CAT measures are more responsive than
summative measures because CAT measures are
linear.
25Future
- Never satisfied!!
- Will develop more condition-specific CATs
- Elbow and wrist/hand CAT under development
- Need a cervical CAT
- Will expand item banks by seeding items one at a
time to fill holes, ie, strengthen construct
validity of the scales