Psychometric Evaluation of Items Ron D. Hays

Slides:



Advertisements
Similar presentations
How does PROMIS compare to other HRQOL measures? Ron D. Hays, Ph.D. UCLA, Los Angeles, CA Symposium 1077: Measurement Tools to Enhance Health- Related.
Advertisements

PROMIS DEVELOPMENT METHODS, ANALYSES AND APPLICATIONS Presented at the Patient-Reported Outcomes Measurement Information System (PROMIS): A Resource for.
PROMIS: The Right Place at the Right Time? David Cella, Ph.D. Department of Medical Social Sciences Northwestern University Chair, PROMIS Steering Committee.
15-minute Introduction to PROMIS Ron D. Hays, Ph.D UCLA Division of General Internal Medicine & Health Services Research Roundtable Meeting on Measuring.
Why Patient-Reported Outcomes Are Important: Growing Implications and Applications for Rheumatologists Ron D. Hays, Ph.D. UCLA Department of Medicine RAND.
1 Evaluating Multi-Item Scales Using Item-Scale Correlations and Confirmatory Factor Analysis Ron D. Hays, Ph.D. RCMAR.
1 Health-Related Quality of Life Ron D. Hays, Ph.D. - UCLA Department of Medicine: Division of General Internal Medicine.
Primer on Evaluating Reliability and Validity of Multi-Item Scales Questionnaire Design and Testing Workshop October 25, 2013, 3:30-5:00pm Wilshire.
Rare Diseases and PROMIS : Opportunities Natcher Conference Center March 1, 2013 James Witter MD, PhD FACR CSO PROMIS Medical Officer: Rheumatic Diseases.
Use of Health-Related Quality of Life Measures to Assess Individual Patients July 24, 2014 (1:00 – 2:00 PDT) Kaiser Permanente Methods Webinar Series Ron.
SAS PROC IRT July 20, 2015 RCMAR/EXPORT Methods Seminar 3-4pm Acknowledgements: - Karen L. Spritzer - NCI (1U2-CCA )
1 Assessing the Minimally Important Difference in Health-Related Quality of Life Scores Ron D. Hays, Ph.D. UCLA Department of Medicine October 25, 2006,
PROMIS ® : Advancing the Science of PRO measurement Common Data Elements NIH CDE Webinar September 8, 2015 Ashley Wilder Smith, PhD, MPH Chief, Outcomes.
Measuring Health-Related Quality of Life Ron D. Hays, Ph.D. UCLA Department of Medicine RAND Health Program UCLA Fielding School of Public Health
Development of Physical and Mental Health Summary Scores from PROMIS Global Items Ron D. Hays ( ) UCLA Department of Medicine
Introduction to the Patient-Reported Outcomes Measurement Information System (PROMIS) UCLA Center for East-West Medicine 2428 Santa Monica Blvd., Suite.
Measuring Health-Related Quality of Life
1 11/17/2015 Psychometric Modeling and Calibration Ron D. Hays, Ph.D. September 11, 2006 PROMIS development process session 10:45am-12:30 pm.
Impact of using a next button in a web-based health survey on time to complete and reliability of measurement Ron D. Hays (Rita Bode, Nan Rothrock, William.
1 Session 6 Minimally Important Differences Dave Cella Dennis Revicki Jeff Sloan David Feeny Ron Hays.
Presented By Ron D. Hays, Ph.D. April 8, 2010 (MNRS Pre-Conference Workshop) Domains of PROMIS and how they were developed Dynamic Tools to Measure Health.
Item Response Theory (IRT) Models for Questionnaire Evaluation: Response to Reeve Ron D. Hays October 22, 2009, ~3:45-4:05pm
Multitrait Scaling and IRT: Part I Ron D. Hays, Ph.D. Questionnaire Design and Testing.
Psychometric Evaluation of Questionnaire Design and Testing Workshop December , 10:00-11:30 am Wilshire Suite 710 DATA.
Overlap between Subjective Well-being and Health-related Quality of Life. 3 Ron D. Hays, Ph.D. (Alina Palimaru) November 18, 2015 (11:30-12:00 noon) Geriatric.
Measurement of Outcomes Ron D. Hays Accelerating eXcellence In translational Science (AXIS) January 17, 2013 (2:00-3:00 pm) 1720 E. 120 th Street, L.A.,
Considerations in Comparing Groups of People with PROs Ron D. Hays, Ph.D. UCLA Department of Medicine May 6, 2008, 3:45-5:00pm ISPOR, Toronto, Canada.
Patient-Reported Physical Functioning Ron D. Hays November 27, 2012 (11:15-11:30) UCLA Department of Medicine MCID for Orthopaedic Devices Silver Springs,
Multitrait Scaling and IRT: Part I Ron D. Hays, Ph.D. Questionnaire.
Impact of using a next button in a web-based health survey on time to complete and reliability of measurement Ron D. Hays (Rita Bode, Nan Rothrock, William.
Estimating Minimally Important Differences on PROMIS Domain Scores Ron D. Hays UCLA Department of Medicine/Division of General Internal Medicine & Health.
Health-Related Quality of Life in Outcome Studies Ron D. Hays, Ph.D UCLA Division of General Internal Medicine & Health Services Research GCRC Summer Session.
Health-Related Quality of Life (HRQOL) Assessment in Outcome Studies Ron D. Hays, Ph.D. UCLA/RAND GCRC Summer Course “The.
Reducing Burden on Patient- Reported Outcomes Using Multidimensional Computer Adaptive Testing Scott B. MorrisMichael Bass Mirinae LeeRichard E. Neapolitan.
Test-Retest Reliability of the Work Disability Functional Assessment Battery (WD-FAB) Dr. Leighton Chan, MD, MPH Chief, Rehabilitation Medicine Department.
Value Based and Patient Reported Outcomes David N. Assis, MD Assistant Professor of Medicine Yale University.
Introduction to Neuro-QoL
July 18, 2017, 9:00-11:00 am (Geffen Hall Seminar Room 112)
Evaluating Patient-Reports about Health
Introduction to ASCQ-MeSM
QDET2, Miami, FL, Hibiscus A
NIH: Patient-Reported Outcomes Measurement Information System (PROMIS®) Ron D. Hays Functional Vision and Visual Function November 10, 2016, 8:55-9:15am.
UCLA Department of Medicine
Evaluating Patient-Reports about Health
UCLA Department of Medicine
Evaluating Multi-Item Scales
PROMIS-29 V2.0 Physical and Mental Health Summary Scores Ron D. Hays
Ron D. Hays GIM-HSR Friday Noon Seminar Series November 4, 2016
Evaluating IRT Assumptions
Introduction to ASCQ-Me®
Health-Related Quality of Life Assessment in Outcome Studies
Introduction to Neuro-QoL
Introduction to Neuro-QoL
Introduction to ASCQ-Me®
A Multi-Dimensional PSER Stopping Rule
May 14, :00-12:00 noon (Geffen Hall 207)
Evaluating the Psychometric Properties of Multi-Item Scales
Evaluating Multi-item Scales
Multitrait Scaling and IRT: Part I
Health-Related Quality of Life Measures (HS249T: Decision Analysis and Cost-Effectiveness Analysis) Ron D. Hays, Ph.D. UCLA Division.
Evaluating Multi-item Scales
Estimating Minimally Important Differences (MIDs)
Evaluating Multi-Item Scales
Psychometric testing and validation (Multi-trait scaling and IRT)
Health-Related Quality of Life as an indicator of Quality of Care
Geffen Hall 122, Los Angeles, CA, June 10, 2019
Evaluating the Significance of Individual Change
GIM & HSR Research Seminar: October 5, 2018
UCLA Department of Medicine
Patient-reported Outcome Measures
Presentation transcript:

Psychometric Evaluation of Items Ron D. Hays (drhays@ucla.edu) Questionnaire Design and Testing Workshop UCLA Department of Medicine November 2, 2016 (10:30-noon) http://gim.med.ucla.edu/FacultyPages/Hays/ 1 1

Patient-Reported Outcomes Measurement Information System (PROMIS®) A nine-year $70 million commitment of NIH to improve and standardize measurement of patient-reported outcomes (PROs) Self-reported health An answer to the PRO “Tower of Babel”

PROMIS-1 Network: 2004-2009 ● University of Washington ● StoneyBrook Northwestern ♥ ● University of Pittsburgh ● NIH ● Stanford UNC –Chapel Hill ● ● Duke University* ♥Coordinating Center

             CAT Existing Items Literature Review Patient Focus Groups Expert Input and Consensus Newly Written Items Item Pool Expert Review Translation Cognitive Testing Secondary Data Analysis      Questionnaire administered to large representative sample         Psycho- metric Testing Item Bank (IRT-calibrated items) CAT Short Form Instruments

Physical Functioning Item Bank  50 Physical Functioning Item Bank Item 1 2 3 4 5 6 7 8 9 n Are you able to get in and out of bed? Are you able to stand without losing your balance for 1 minute? Are you able to walk from one room to another? Are you able to walk a block on flat ground? Are you able to run or jog for two miles? Are you able to run five miles?

Normal Curve Bell-shaped “normal” curve (68.2%, 95.4%, and 99.6% within 1, 2 and 3 SDs, respectively)

Interpretation Person Fatigue Score Item Location           Low                    High  Q Q Q Q Likely “I get tired when I run a marathon” Unlikely when I get out of a chair” Item Location Likely item: I get tired when I run a marathon (T) Unlikely item: I get tired when I get out of bed (T)

Computerized Adaptive Testing (CAT) Select questions based on a person’s response to previously administered questions. Iteratively estimate a person’s standing on a domain (e.g., fatigue, depressive symptoms) Administer most informative items Desired level of precision can be obtained using the minimal possible number of questions.

Reliability Target for Use of Measures with Individuals z-score (mean = 0, SD = 1) Reliability ranges from 0-1 0.90 or above is goal SE = SD (1- reliability)1/2 Reliability = 1 – SE2 Reliability = 0.90 when SE = 0.32 95% CI = true score +/- 1.96 x SE (CI = -0.63  0.63 z-score when reliability = 0.90) T = z*10 + 50

Best Item-I felt depressed Beginning of CAT T-Score = 50 SE = 10

Never Rarely Sometimes Often Always Next Best Item-I felt like a failure I felt depressed Never Rarely Sometimes Often Always T-Score = 52 SE = 4

Never Rarely Sometimes Often Always Next Best Item-I felt worthless I felt like a failure Never Rarely Sometimes Often Always T-Score = 53 SE = 3

Never Rarely Sometimes Often Always Next Best Item-I felt helpless I felt worthless Never Rarely Sometimes Often Always T-Score = 55 SE = 2

Never Rarely Sometimes Often Always I felt helpless T-Score = 55 SE = 2

10 Global Health Items Items Global01. Rate general health Global02. Rate quality of life Global03. Rate physical health Global04. Rate mental health Global05. Rate satisfaction with social activities Global09. Rate carry out social activities and roles Global08. Carry out physical activities Global10. Bothered by emotional problems Global08. Rate fatigue Global07. Rate pain 18 18

Sample (n = 21,133) Age: 18-100 (mean = 53) 52% Female 9% Latino/Hispanic, 9% black, 2% other 3% < high school, 16% high school only 59% Married 39% Working full-time 19 19

Fit Indices 1 - Non-normed fit index: Normed fit index: 2  -  2 Normed fit index: Non-normed fit index: Comparative fit index: null model  2 2 2   null null - model df df null model  2 null - 1 df null 2  - df 1 - model model  - 2 df null null RMSEA = SQRT (λ2 – df)/SQRT (df (N – 1)) 20

Are the 10 items unidimensional? Item-scale correlations Ranged from 0.53 to 0.80 Internal consistency reliability = 0.92 Confirmatory factor analysis (categorical) for one-factor model CFI = 0.927 RMSEA = 0.249 (note: < .06 desirable) SQRT (λ2 – df)/SQRT (df (N – 1)) 0.01 (excellent), 0.05 (good), 0.08 (mediocre) MacCallum et al. (1996) PCA eigenvalues: 6.25, 1.20, 0.75, … 21 21

Item-scale correlation matrix (“Multi-trait Scaling”) 22 22

Two-Factor CFA Loadings Item Physical Mental 1. Rate general health 0.88 3. Rate physical health 0.89+ 6. Carry out phys. activ. 0.81+ 7. Rate pain 0.64+ 8. Rate fatigue 0.58+ 0.18 2. Rate quality of life 0.50 0.46+ 4. Rate mental health 0.87+ 5. Rate sat with social 0.88+ 10. Bothered emot. Prob. 0.66+ 9. Usual social act 0.44 23 23

Physical Health 1-factor CFA Five items RMSEA = 0.220 r = 0.29 between two items: In general, how would you rate your health (1) In general, how would you rate your physical health? (3) RMSEA = 0.081 24 24

4-Item Global Physical Health Scale In general, how would you rate your physical health? (3) To what extent are you able to carry out your everyday physical activities …? (6) How would you rate your pain on average? (7) How would you rate your fatigue on average? (8) 25 25

Mental Health 1-factor CFA Four items RMSEA = 0.196 r = 0.16 between two items: In general, how would you rate your mental health? (4) How often have you been bothered by emotional problems? (10) RMSEA = 0.084 26 26

4-item Global Mental Health Scale In general, would you say your quality of life is …? (2) In general, how would you rate your mental health …? (4) In general, how would you rate your satisfaction with social activities and relationships? (5) How often have you been bothered by emotional problems …? (10) 27 27

Physical Health Item Parameters B1 B2 B3 b4 Global03 2.31 -2.11 -0.89 0.29 1.54 Global06 2.99 -2.80 -1.78 -1.04 -0.40 Global07 1.74 -3.87 -1.81 -0.67 1.00 Global08 1.90 -3.24 -1.88 -0.36 1.17 3. In general, how would you rate your physical health? 6. To what extent are you able to carry out your everyday physical activities such as walking, climbing stairs, carrying groceries or moving a chair? How would you rate your pain on average? How would you rate your fatigue on average? 3: Poor; Fair: Good; Very Good: Excellent 6: Not at all,; A Little; Moderately; Mostly; Completely 7: Worst pain imaginable (10) -- No pain (0) 8: Very Severe; Severe; Moderate: Mild; None 28 28

Mental Health Item Parameters B1 B2 B3 b4 Global02 2.41 -2.45 -1.32 -0.19 1.07 Global04 3.67 -2.31 -1.26 -0.33 0.67 Global05 2.98 -1.78 -0.90 -0.01 Global10 1.89 -2.82 -1.51 -0.25 0.99 2. In general, would you say your quality of life is …? In general, how would you rate your mental health, including your mood and your ability to think? 5. In general, how would you rate your satisfaction with social activities and relationships? 10. How often have you been bothered by emotional problems such as feeling anxious, depressed or irritable? 2, 4, 5: Poor; Fair: Good; Very Good: Excellent 10: Always; Often; Sometimes; Rarely; Never 29 29

SF-36/12 Summary Scores Physical and Mental health Composite Summary Scores (PCS & MCS) Reliability estimates: 0.88-0.93 Completion time 7-10 minutes 3 minutes for SF-12 30 30

Item Characteristic Curve for Polytomous Response Scale JGIM, 2015, 30 (10), 1511-6.

Questions? Hays, R. D., Bjorner, J., Revicki, D. A., Spritzer, K., & Cella, D. (2009). Development of physical and mental health summary scores from the Patient-Reported Outcomes Measurement Information System (PROMIS) global items. Quality of Life Research, 18, 873-80. Hays, R. D., Calderón, J. L. (2012). How much is lost in using single items? Journal of General Internal Medicine, 27(11), 1402-1403 Schalet, B. D., Rothrock, N. E., Hays, R. D., Kazis, L. E., Cook, K. F., Rutsohn, J. P., & Cella, D. (2015). Linking physical and mental health summary scores from the Veterans RAND 12-item health survey (VR-12) to the PROMIS global health scale. Journal of General Internal Medicine, 30(10), 1524-30.