Literature DB >> 19029206

Using item banks to construct measures of patient reported outcomes in clinical trials: investigator perceptions.

Kathryn E Flynn1, Carrie B Dombeck, Esi Morgan DeWitt, Kevin A Schulman, Kevin P Weinfurt.   

Abstract

BACKGROUND: Item response theory (IRT) promises more sensitive and efficient measurement of patient-reported outcomes (PROs) than traditional approaches; however, the selection and use of PRO measures from IRT-based item banks differ from current methods of using PRO measures.
PURPOSE: To anticipate barriers to the adoption of IRT item banks into clinical trials.
METHODS: We conducted semistructured telephone or in-person interviews with 42 clinical researchers who published results from clinical trials in the Journal of the American Medical Association, the New England Journal of Medicine, or other leading clinical journals from July 2005 through May 2006. Interviews included a brief tutorial on IRT item banks.
RESULTS: After the tutorial, 39 of 42 participants understood the novel products available from an IRT item bank, namely customized short forms and computerized adaptive testing. Most participants (38/42) thought that item banks could be useful in their clinical trials, but they mentioned several potential barriers to adoption, including economic and logistical constraints, concerns about whether item banks are better than current PRO measures, concerns about how to convince study personnel or statisticians to use item banks, concerns about FDA or sponsor acceptance, and the lack of availability of item banks validated in specific disease populations. LIMITATIONS: Selection bias might have led to more positive responses to the concept of item banks in clinical trials.
CONCLUSIONS: Clinical investigators are open to a new method of PRO measurement offered in IRT item banks, but bank developers must address investigator and stakeholder concerns before widespread adoption can be expected.

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Mesh:

Year:  2008        PMID: 19029206      PMCID: PMC2662709          DOI: 10.1177/1740774508098414

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  10 in total

1.  Item response theory and health outcomes measurement in the 21st century.

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Review 2.  Measuring treatment impact: a review of patient-reported outcomes and other efficacy endpoints in approved product labels.

Authors:  Richard J Willke; Laurie B Burke; Pennifer Erickson
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3.  Use of item response theory to develop a shortened version of the EORTC QLQ-C30 emotional functioning scale.

Authors:  J B Bjorner; M Aa Petersen; M Groenvold; N Aaronson; M Ahlner-Elmqvist; J I Arraras; A Brédart; P Fayers; M Jordhoy; M Sprangers; M Watson; T Young
Journal:  Qual Life Res       Date:  2004-12       Impact factor: 4.147

4.  Item response theory was used to shorten EORTC QLQ-C30 scales for use in palliative care.

Authors:  Morten Aa Petersen; Mogens Groenvold; Neil Aaronson; Jane Blazeby; Yvonne Brandberg; Alexander de Graeff; Peter Fayers; Eva Hammerlid; Mirjam Sprangers; Galina Velikova; Jakob B Bjorner
Journal:  J Clin Epidemiol       Date:  2005-09-12       Impact factor: 6.437

5.  The NAPLEX: evolution, purpose, scope, and educational implications.

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6.  More relevant, precise, and efficient items for assessment of physical function and disability: moving beyond the classic instruments.

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7.  Improving patient reported outcomes using item response theory and computerized adaptive testing.

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8.  Enhancing measurement in health outcomes research supported by Agencies within the US Department of Health and Human Services.

Authors:  Bryce B Reeve; Laurie B Burke; Yen-pin Chiang; Steven B Clauser; Lisa J Colpe; Jeffrey W Elias; John Fleishman; Ann A Hohmann; Wendy L Johnson-Taylor; William Lawrence; Claudia S Moy; Louis A Quatrano; William T Riley; Barbara A Smothers; Ellen M Werner
Journal:  Qual Life Res       Date:  2007-05-26       Impact factor: 4.147

9.  Racial disparities among clinical research investigators.

Authors:  Kenneth Getz; Laura Faden
Journal:  Am J Ther       Date:  2008 Jan-Feb       Impact factor: 2.688

10.  The Patient-Reported Outcomes Measurement Information System (PROMIS): progress of an NIH Roadmap cooperative group during its first two years.

Authors:  David Cella; Susan Yount; Nan Rothrock; Richard Gershon; Karon Cook; Bryce Reeve; Deborah Ader; James F Fries; Bonnie Bruce; Mattias Rose
Journal:  Med Care       Date:  2007-05       Impact factor: 2.983

  10 in total
  5 in total

1.  The PROMIS initiative: involvement of rehabilitation stakeholders in development and examples of applications in rehabilitation research.

Authors:  Dagmar Amtmann; Karon F Cook; Kurt L Johnson; David Cella
Journal:  Arch Phys Med Rehabil       Date:  2011-10       Impact factor: 3.966

2.  An approach for estimating item sensitivity to within-person change over time: An illustration using the Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog).

Authors:  N Maritza Dowling; Daniel M Bolt; Sien Deng
Journal:  Psychol Assess       Date:  2016-01-25

3.  Construction of the eight-item patient-reported outcomes measurement information system pediatric physical function scales: built using item response theory.

Authors:  Esi Morgan DeWitt; Brian D Stucky; David Thissen; Debra E Irwin; Michelle Langer; James W Varni; Jin-Shei Lai; Karin B Yeatts; Darren A Dewalt
Journal:  J Clin Epidemiol       Date:  2011-02-02       Impact factor: 6.437

Review 4.  Capturing and Incorporating Patient-Reported Outcomes into Clinical Trials: Practical Considerations for Clinicians.

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Journal:  Curr Oncol Rep       Date:  2016-10       Impact factor: 5.075

Review 5.  A systematic review of patient-reported outcome measures patients with chronic limb-threatening ischemia.

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  5 in total

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