Validating PROMIS Instruments in Depression

NCT ID: NCT00784199

Last Updated: 2024-05-16

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 115 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2008-06-30
• Study Completion Date: 2010-07-31

Brief Summary

The Patient-Reported Outcomes Measurement Information System (PROMIS) is an NIH Roadmap initiative to develop a computerized system measuring patient-reported outcomes in respondents with a wide range of chronic diseases and demographic characteristics. In the first four years of its existence, the PROMIS network developed item banks for measuring patient-reported outcomes in the areas of pain, fatigue, emotional distress, physical function, and social functioning. During the item banking process, the PROMIS network conducted focus groups, individual cognitive interviews, and lexile (reading level) analyses to refine the meaning, clarity, and literacy demands of all items. The item banks were administered to over 20,000 respondents and calibrated using models based on item response theory (IRT). Using these IRT calibrations, computerized adaptive test (CAT) algorithms were developed and implemented. The network has designed a series of studies using clinical populations to evaluate the item attributes, examine their utility as CATs, and validate the item banks. More information on the PROMIS network can be found at www.nihpromis.org.

Detailed Description

In order to validate the item banks and to examine their utility as computerized adaptive tests (CATs), the PROMIS network has designed a series of studies that will allow us to examine the attributes of the measures in "real-world" clinical environments. This protocol is aimed at comparing the psychometric properties of the PROMIS item banks with non-PROMIS "gold standard" instruments currently used in our respective fields (pain and mental health). In this context, note that the proposed study is not intended to evaluate treatment effectiveness, and no control group has been included. The main consideration has been to design a study involving ecologically valid treatments with established efficacy that can be administered and evaluated over the short term (i.e., 3 months). Regardless of their impact in the aggregate, such treatments will generate considerable variability in individual outcomes, and this heterogeneity is optimal for examining relevant psychometric issues. The psychometric issue of greatest concern is the validity of the PROMIS item banks as evidenced in convergent and discriminant validity and responsiveness to change. We also will make initial estimates of clinically significant change as reflected in our PROMIS measures. By combining efforts of the two sites that led in the development of the item banks for emotional distress (University of Pittsburgh) and pain (University of Washington), the study will maximize total sample size and provide a fertile ground for analyses of psychometric functioning of the PROMIS banks.

In addition to psychometric questions, we will also address clinically meaningful questions related to pain, depression, and the relationship between the two. The complex relationship between pain and depression has been observed for years. Both syndromes are mutually exacerbating-pain worsens depression and depression worsens the experience of pain. The domain-related issues of greatest interest focus on the interaction between depression and pain and its impact on treatment outcome (including changes in symptoms of both depression and pain, in acute clinical status, and in social functioning).

Conditions

Major Depressive Disorder

Study Design

• Observational Model Type: CASE_ONLY
• Study Time Perspective: PROSPECTIVE

Eligibility Criteria

Inclusion Criteria

• Willing and able to give informed consent
• Speak, read, and understand English
• Currently in the first 4 months of outpatient treatment at Western Psychiatric Institute and Clinic (WPIC) for major depressive disorder
• Participants will be required to have a minimum score of 12 on the 17-item Hamilton Rating Scale for Depression

Exclusion Criteria

• Lack of willingness or ability to provide informed consent
• Dementia or other cognitive impairment that would interfere with questionnaire completion
• Lifetime history of any psychotic disorder (e.g., schizophrenia, schizoaffective disorder) or bipolar disorder, as evidenced in the participant's medical records or reported during the Structured Clinical Interview for DSM-IV (SCID)
• Organic affective syndrome (i.e., mood disorder secondary to a general medical condition or substance-induced mood disorder)
• Current psychiatric inpatient treatment
• A history of continuous care for 1 year or more in the mental health care system within the prior 5 years (in order to eliminate patients with more chronic presentations)
• Major medical conditions that influence the central nervous system (e.g., Parkinson's disease, stroke, amyotrophic lateral sclerosis [ALS], multiple sclerosis [MS]), systemic lupus erythematosus [SLE], seizure disorders, etc.)

Note: Persons with common psychiatric comorbidities (e.g., anxiety disorders) will be included. The presence of psychiatric comorbidities will be documented.

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)

NIH

Sponsor Role: collaborator

Duke University

OTHER

Sponsor Role: collaborator

Endeavor Health

OTHER

Sponsor Role: collaborator

University of North Carolina, Chapel Hill

OTHER

Sponsor Role: collaborator

Stanford University

OTHER

Sponsor Role: collaborator

Stony Brook University

OTHER

Sponsor Role: collaborator

University of Washington

OTHER

Sponsor Role: collaborator

University of Pittsburgh

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Paul A Pilkonis, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Pittsburgh

Other Identifiers

5U01AR052155-02

Identifier Type: NIH

Identifier Source: secondary_id

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2U01AR052155-06

Identifier Type: NIH

Identifier Source: secondary_id

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PRO07070241

Identifier Type: -

Identifier Source: org_study_id