Advancing PROMIS’s methodology: results of the Third Patient-Reported Outcomes Measurement Information System (PROMIS®) Psychometric Summit

Year: 2011

Type: article

Abstract: In 2002, the NIH launched the 'Roadmap for Medical Research'. The Patient-Reported Outcomes Measurement Information System (PROMIS(®)) is one of the Roadmap's key aspects. To create the next generation of patient-reported outcome measures, PROMIS utilizes item response theory (IRT) and computerized adaptive testing. In 2009, the NIH funded the second wave of PROMIS studies (PROMIS II). PROMIS II studies continue PROMIS's agenda, but also include new features, including longitudinal analyses and more sociodemographically diverse samples. PROMIS II also includes increased emphasis on pediatric populations and evaluation of PROMIS item banks for clinical research and population science. These aspects bring new psychometric challenges. To address this, investigators associated with PROMIS gathered at the Third Psychometric Summit in September 2010 to identify, describe and discuss pressing psychometric issues and new developments in the field, as well as make analytic recommendations for PROMIS. The summit addressed five general themes: linking, differential item functioning, dimensionality, IRT models for longitudinal applications and new IRT software. In this article, we review the discussions and presentations that occurred at the Third PROMIS Psychometric Summit.

Source: Expert Review of Pharmacoeconomics & Outcomes Research

DOI: 10.1586/erp.11.74

Authors: Adam C Carle, David Cella, Li Cai, Seung W Choi, Paul K Crane, S McKay Curtis, Jonathan Gruhl, Jin-Shei Lai, Shubhabrata Mukherjee, Steven P Reise, Jeanne A Teresi, David Thissen, Eric J Wu, Ron D Hays

Institutions: Cincinnati Children's Hospital Medical Center, University of Cincinnati, Northwestern University, University of California, Los Angeles, University of Washington, Hebrew Home, New York State Psychiatric Institute, Columbia University, University of North Carolina at Chapel Hill

Language: English

Topic: Psychometric Methodologies and Testing

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute on Aging, National Institute on Drug Abuse, National Cancer Institute, National Institute of Nursing Research, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institute on Minority Health and Health Disparities

OpenAlex ID: W1973293462