Patient-Reported Outcomes Measurement Information System.

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Presentation transcript:

Patient-Reported Outcomes Measurement Information System

Why the need for improved PRO measures? Can we easily use our outcomes data for: –clinical trial outcome evaluation? –clinical decision-making? –administrative and management purposes? –health policy decision making? –regulatory and market purposes?

Why the need for improved PRO measures in Clinical Trials? Planned benefits of the PROMIS measures –Responsiveness to differences should they exist across treatment groups. –Improved performance where floor and ceiling effects are expected. –Potential to reduce respondent burden –Potential to reduce research cost

What's wrong with today's measurements ? Questionnaire with a wide range - but low precision 1 2 Questionnaire with a high precision - but small range

Computer Adaptive Tests high depression low depression Question Question Questionnaire with a high precision - AND a wide range

Themes of the NIH Roadmap New Pathways to Discovery Research Teams of the Future Re-engineering the Clinical Research Enterprise

To continue NIH’s mission of successful medical research, it will need to recast its entire clinical research system –Requires the development of new partnerships of research with organized patient communities, community-based health care providers, industry, and academic researchers. –Need new paradigms in how clinical research information is collected, used, and reported. –Includes the advances in information technology, psychometrics, and qualitative, cognitive, and health survey research.

The PROMIS of a better future… A publicly available, adaptable and sustainable Internet-based system that will: 1.Administer individually “tailored” questionnaires (using Computer Adaptive Testing (CAT) technology) to measure health status outcomes 2.Collect and analyze responses 3.Provide instant health status reports to users to: Enhance research Improve clinical decision-making Facilitate policy-making by health plan and systems and public programs

PROMIS: Long-term Objectives Create a publicly available, adaptable and sustainable Internet-based system, the Patient-Reported Outcomes Measurement Information System (PROMIS) -- that will: –Administer “tailored” questionnaires (using CAT technology) that measure a patient’s health status. –Collect the patients’ responses for research and for upgrading the system. –Provide instant health status reports to patients and health care providers to improve treatment decision making. Lay groundwork for public-private partnership to extend the PROMIS beyond its five-year development stage.

PROMIS integrates the fields of… Information Technologies PROMIS Cognitive Aspects of Survey Methods Qualitative Research Methods Survey Research Psycho- metrics

PROMIS Network Structure SAB PRS SCCSCC SC NIH Science Officers

The PROMIS Network ● ● ● ● ♦ ● ● ● ● ● ● ● ● ● ● ▲ University of Washington Stanford University University of Pittsburgh UNC –Chapel Hill Evanston Northwestern Healthcare NIH Duke University Stony Brook University

PROMIS Domain Hierarchy Mental Health Physical Health Symptoms Pain Other Social Health Role Participation Social Support Fatigue Positive Psychological Functioning Cognitive Function Anxiety Anger/Aggression Depression Alcohol & Substance Use Negative Impacts of illness Emotional Distress Subjective Well-Being (positive effect) Positive Impacts of Illness Meaning and Coherence (spirituality) Mastery and Control (self-efficacy) Performance Satisfaction Health PRO Satisfaction Function/Disability Upper Extremities (ADL): walking, arising, etc. Central (ADL): neck & back (twisting, bending) Activities: IADL (e.g. errands) Lower Extremities (ADL): grip, buttons, etc

Advantages of adding IRT to Classical Test Theory Item Response Theory focuses on the mathematical relationship of items, not scales, to the latent trait Advantages: –Scale reduction – potentially more precision with less items –Scale flexibility – different items to measure the same trait –Equate scores of different scales (crosswalking) –Test item equivalence across groups (DIF) –Tailored administration (CAT)

15 Leveraging Advances in Computer and Internet Technology Continuous access to PRO measurement Automated administration, validation checks, and data recording, storing, and scoring Enhanced graphic interface to improve format and presentation for patients (e.g. increased accessibility) Immediate feedback of a patient’s health status both to the patient and provider

Item Bank (Validated & IRT-Calibrated Emotional Distress Items) Severe high moderatelowvery low Emotional Distress How often did you feel nervous? All of the time Most of the time Little of the time Some of the time None of the time

Item Bank (Validated & IRT-Calibrated Emotional Distress Items) Severe high moderatelowvery low Emotional Distress How often did you feel nervous? Some of the time

Item Bank (Validated & IRT-Calibrated Emotional Distress Items) Severe high moderatelowvery low Emotional Distress How often did you feel nervous? Some of the time

Item Bank (Validated & IRT-Calibrated Emotional Distress Items) Severe high moderatelowvery low Emotional Distress How often did you feel hopeless? All of the time Most of the time Little of the time Some of the time None of the time

Item Bank (Validated & IRT-Calibrated Emotional Distress Items) Severe high moderatelowvery low Emotional Distress How often did you feel hopeless? Some of the time

Item Bank (Validated & IRT-Calibrated Emotional Distress Items) Severe high moderatelowvery low Emotional Distress How often did you feel worthless? All of the time Most of the time Little of the time Some of the time None of the time

Item Bank (Validated & IRT-Calibrated Emotional Distress Items) Severe high moderatelowvery low Emotional Distress How often did you feel worthless? Little of the time

Item Bank (Validated & IRT-Calibrated Emotional Distress Items) Severe high moderatelowvery low How often did you feel worthless? Little of the time Target in on emotional distress score

PROMIS Item Bank Development Comprehensive collection and review of existing items (legacy items) Development of new and modified items (approx total items) Binning and winnowing of items (1064 items) Readability analysis and revisions Focus groups Cognitive interviews (784 items)

How Clinical Researchers would use PROMIS Set up assessment protocol, including selecting domains and modes of administration Patients complete at office or anywhere Researchers provided with tracking on completion and results Downloadable dataset Documentation of the PROMIS system for use in publications, FDA submissions, etc.

What PROMIS Is Not PROMIS measures patient reports – –It is not a laboratory or performance measure PROMIS currently measures a limited set of clinically relevant domains –It does not measure all clinically relevant patient reported outcomes (at least not yet) PROMIS measures outcomes – –It is not adequate alone to use for most screening or diagnostic needs

PROMIS: More than the Network Project Independent Projects –Patient Reported Sleep Domains (Pittsburgh) –Pain and Fatigue in Children with Disabilities (Washington) –PROMIS for Pediatric Samples (UNC) –Outcomes in Arthritis and Aging Populations (Stanford) –IRT in Multi-Site Clinical Trials (Duke) –Ecological Validity in Patient Reported Outcomes (Stony Brook) Spin-Off Projects –Patient Reported Outcomes in Cancer Treatment Trials –Quality of Life Outcomes in Neurological Disorders

Information PROMIS: Roadmap: NIH Science Officers: William Riley, NIMH Bryce Reeve, NCI Larry Fine, NHLBI Lou Quatrano, NICHD Susan Czajkowski, NHLBI Suzana Serrate-Sztein, NIAMS NIH representatives from numerous other institutes

What is Computerized Adaptive Testing (CAT)? A technique for administering a PRO instrument that –selects questions on the basis of a person’s response to previously administered questions each question, stored in an “item bank” has been psychometrically and qualitatively reviewed as informative for measuring the health construct –determines a person’s score with the minimal number of questions and no loss of measurement precision

Advantages of CAT Assessments Provide an accurate estimate of a person’s score with the minimal number of questions Questions are selected to match the health status of the respondent Minimize floor and ceiling effects People near the top or bottom of a scale will receive items that are designed to assess their health status

Item Bank (IRT-calibrated items reviewed for reliability, validity, and sensitivity) Item Response Theory (IRT) Short Form Instruments CAT Items from Instrument A Items from Instrument B Items from Instrument C New Items Item Library (>8,000)       Questionnaire administered to large representative sample        Secondary Data Analysis Cognitive Testing Focus Groups Content Expert Review

Item Response Theory (IRT) Modeling A family of models that describe, in probabilistic terms, the relationship between people’s responses to questions and their position on the continuum of what is being measured (e.g., pain)

Item Response Theory (IRT) Modeling None Very Mild Mild Moderate Severe Very Severe How much bodily pain have you had during the past 4 weeks? no painextreme pain IRT assigns properties to each question that provide information on which people a given question is best suited for

What is the PROMIS Potential? Enhance national capacity to –evaluate effectiveness of all health interventions, prevention, diagnosis, treatment, rehabilitation, palliation –monitor progress against burdens of disease –support a wide range of studies on the determinants of health care utilization and outcomes

What is the PROMIS Time Line? : Choose specific domains Identify, review instruments and items : Build item pools in 5 domains Collect response data Create alpha version of CAT Build collaborative alliances : Conduct final calibration process Put CAT into final form Conduct second major network project Feasibility tests and User Group meetings Build sustaining partnerships

PROMIS Website Contact Information: Shani Rolle, M.S. NIH Coordinator