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. 2011 Dec;11(6):677-84.
doi: 10.1586/erp.11.74.

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

Adam C Carle  1 , 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
Affiliations

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

Adam C Carle et al. Expert Rev Pharmacoecon Outcomes Res. 2011 Dec.

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.

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Conflict of interest statement

The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

References

    1. Cella D, Yount S, Rothrock N, et al. The Patient-Reported Outcomes Measurement Information System (PROMIS): progress of an NIH Roadmap cooperative group during its first two years. Medical Care. 2007;45(5) Suppl. 1:S3. •• Provides an account of the Patient-Reported Outcomes Measurement Information System (PROMIS) I initiative and its accomplishments.

    1. Hambleton RK. Item Response Theory. USA: Kluwer, MA; 1985.
    1. Van Der Linden W, Glas C. Computerized Adaptive Testing: Theory and Practice. The Netherlands: Springer Netherlands; 2000.

    1. Reeve BB. Item response theory modeling in health outcomes measurement. Expert Rev. Pharmacoeconomics Outcomes Res. 2003;3(2):131–145. •• Offers an in-depth discussion of item response theory and its advantages.

    1. Holland P. Linking and Aligning Scores and Scales. Statistics for Social and Behavioral Sciences Part I. USA: Springer, NY; 2007. A framework and history for score linking; pp. 5–30.

Websites

    1. PROMIS®. www.nihpromis.org.
    1. Langer MM. A reexamination of Lord’s Wald test for differential item functioning using item response theory and modern error estimation. 2008 http://dc.lib.unc.edu/cdm4/item_viewer.php?CISOROOT=/etd&CISOPTR=2084.

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