Patient Reported Outcomes in Clinical Research. Overview 11/30/2015. Why measure patientreported

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Patient Reported Outcomes in Clinical Research Kevin P. Weinfurt, PhD Introduction to the Principles and Practice of Clinical Research National Institutes of Health November 30, 2015 Overview 1. Why measure patient reported health status? 2. Different types of PROs 3. Development and evaluation of PROs 4. New methods using Response Theory 5. Interpreting scores on PRO measures 1 Why measure patientreported health status? 1

How do we assess benefit? Copies of virus in blood Tumor size Blood pressure PeakVO2 For endpoints to inform decisions, they must matter to patients, clinicians, and payers. 2

PeakV02? r =.53 Flynn et al, 2015 Overactive Bladder Syndrome Pad weight to measure leakage volume What is a meaningful reduction in volume? Treatment Benefit Feel Function Survive FDA 3

Patient-Reported Outcome (PRO) A measurement based on a report that comes directly from the patient (i.e., study subject) about the status of a patient s health condition without amendment or interpretation of the patient s response by a clinician or anyone else. PROMIS Fatigue Measure 2 Different Types of PROs 4

1. Dilution of effects of biological interventions Characteristics of the Individual Biological and Physiological Variables Symptom Status Functional Status General Health Perceptions Overall Quality of Life 2. Correlation between successive boxes decreases Adapted from Wilson & Cleary, (JAMA 1995) Characteristics of the Environment Nonmedical Factors 3 Development and Evaluation of PRO Measures 1. Determine what PRO concept we want to measure and why Fatigue 5

2. Collect qualitative data to understand meaning of the PRO concept Fatigue 3. Write items you think will measure the concept Fatigue 5 6 7 8 4. Test items for understanding (cognitive interviews) 5 6 7 8 9 0 6

5. Administer items to a large sample of people 5 6 7 8 6. Use psychometric (statistical) analyses to see how well items are working and develop scoring method How well do items fit this model? Fatigue 5 6 7 8 Fatigue Score 7. Evaluate the reliability and validity of the measure Validity Measures what it s supposed to measure Reliability Measures with little error (a.k.a. precision) 7

Types of Validity Content Face Construct Convergent/discriminant Known groups Predictive Responsiveness Convergent Validity:PROMIS Depression Domain If I have not changed, I should get the same score... using different sets of items from the same measure over time regardless of who scores it Internal Consistency (Cronbach s alpha) Test Retest Interrater 8

4 New Methods Using ResponseTheory Traditional Off-the-Shelf PRO Measure Everyone must complete the same items. All items are necessary to obtain a score. Score might not be on the same metric as other measures of the same thing. 9

An item bank is a large collection of items measuring a single domain. Any and all items can be used to provide a score for that domain. Dynamic, not fixed. 0 50 100 Physical Functioning Bank 1 2 3 4 5 6 7 8 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? 9 n Using a Traditional Off-the-Shelf PRO Measure 10

Using a PRO Bank Bank Fixed-Length Measures Computerize d Adaptive Tests (CATs) Ready-made Make-your-own Bank Fixed-Length Measures Computerize d Adaptive Tests (CATs) Next item administered depends on answer to previous item 11

Fatigue Bank Chemotherapy trial s 1 10 Diabetes trial 7 Osteoarthritis trial CAT Heart failure trial (NYHA Class I) s 1 5 Heart failure trial (NYHA Class III) s 6 12 Same metric, same meaning Different Sites, Different Measures Measure 1 (in HCS 1) 5 Metric 1 Measure 2 (in HCS 2) Metric 2 Measure 3 (in HCS 3) 5 6 Metric 3 Bank Measure 1 (in HCS 1) 5 Measure 2 (in HCS 2) Measure 3 (in HCS 3) Other items 5 6 One Metric 12

Traditional PRO Measure All items are required to compute a score Everyone must take same items Use it off the shelf PRO Bank Any and all subsets of items can generate a score Different people can get different items Use items in bank to create measure for specific use Scores not easily comparable to scores from another measure of the same domain Cross-walk between scores from different measures in the same item bank Examples of PRO Resources Based on Banks Adult and pediatric item banks measuring domains relevant across chronic diseases Freely available www.nihpromis.org 13

Multidimensional set of brief measures assessing cognitive, emotional, motor and sensory function from ages 3-85 Freely available www.nihtoolbox.org Core set of instruments for use in chronic neurological conditions (supplemental set for specific diseases, patient subgroups) Freely available www.neuroqol.org Differential Functioning 14

In the past 7 days, did you cry? Yes No (Depression item) Differential Functioning behavesdifferently for 2 or more groups. ResponseTheory In the past 7 days, did you cry? 1.00 Probability of YES 0.75 0.50 0.25 0.00-3 -2-1 0 1 2 3 Depression 15

ResponseTheory In the past 7 days, did you cry? 1.00 Probability of YES 0.75 0.50 0.25 0.00-3 -2-1 0 1 2 3 Depression ResponseTheory In the past 7 days, did you cry? 1.00 0.90 Probability of YES 0.75 0.50 0.25 0.00-3 -2-1 0 1 2 3 Depression Differential Functioning behavesdifferently for 2 or more groups. The map between depression and item is different for 2 or more groups. 16

In the past 7 days, did you cry? 1.00 Probability of YES 0.90 0.75 0.50 0.30 0.25 Females Males 0.00-3 -2-1 0 1 2 3 Depression 5 Interpreting Scores on PRO Measures 17

Exercise vs Usual care Changes in Kansas City Cardiomyopathy Questionnaire (Score Range: 0-100) 1.93 (95% C.I., 0.84, 3.01) Exercise arm has statistically greater rate of change between baseline and 3 months. Spertus et al., 2005 18

Mean Diff = 1.93 Exercise = 54% Control = 29% Review 1. Why measure patient reported health status? 2. Different types of PROs 3. Development and evaluation of PROs 4. New methods using IRT 5. Interpreting scores on PRO measures Questions kevin.weinfurt@duke.edu 19