Literature DB >> 27263986

Evaluation of the Patient-Reported Outcomes Measurement Information System Upper Extremity Computer Adaptive Test.

James T Beckmann1, Man Hung1, Maren W Voss1, Anthony B Crum1, Jerry Bounsanga1, Andrew R Tyser2.   

Abstract

PURPOSE: The Patient-Reported Outcomes Measurement Information System Upper Extremity Computer Adaptive Test (UE CAT) has recently been made available by the National Institutes of Health to measure physical function outcomes in the upper extremity. We hypothesized that the UE CAT would psychometrically outperform the Disabilities of the Arm, Shoulder, and Hand (DASH) and the Patient-Reported Outcomes Measurement Information System Physical Function Computer Adaptive Test (PF CAT) in a hand patient population.
METHODS: The UE CAT, PF CAT, and DASH were each electronically administered to all adult patients who presented to a tertiary hand and upper extremity (nonshoulder) orthopedic clinic. Patient responses were retrospectively studied to determine the validity, reliability, and floor/ceiling effects of all 3 instruments using the Rasch Partial Credit Model. Responder burden and Pearson correlations were calculated for each instrument.
RESULTS: A total of 379 patients completed the UE CAT, PF CAT, and the DASH. On average, 6 UE CAT, 9 PF CAT, and 30 DASH questions were administered to each patient. All 3 instruments were each highly correlated with each other. Floor effects were low and similar between all instruments; however, ceiling effects were higher in the UE CAT (10.82%) than in the PF CAT (1.32%) or DASH (5.28%). High person reliability (PR) and item reliability (IR) were found for all 3 metrics: UE CAT (α = 0.99; PR = 0.91; IR = 0.94); PF CAT (α = 0.95; PR = 0.89; IR = 0.96); and DASH (α = 0.97; PR = 0.95; IR = 0.99). The UE CAT questions had the best item-fit: only 1 of 15 UE CAT items had poor fit in contrast to 4 of 30 DASH items and 7 of 33 PF CAT items.
CONCLUSIONS: The psychometric properties of the UE CAT compare favorably with the PF CAT and the DASH in nonshoulder upper extremity patients. The relatively large ceiling effect found in the UE CAT could be improved with item bank expansion to include items at the upper end of function. CLINICAL RELEVANCE: The UE CAT is a useful patient-reported outcome measure that merits further investigation.
Copyright © 2016 American Society for Surgery of the Hand. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  PROMIS; computerized adaptive testing; physical function; psychometric; upper extremity

Mesh:

Year:  2016        PMID: 27263986     DOI: 10.1016/j.jhsa.2016.04.025

Source DB:  PubMed          Journal:  J Hand Surg Am        ISSN: 0363-5023            Impact factor:   2.230


  25 in total

1.  Performance of Patient-Reported Outcomes Measurement Information System (PROMIS) Upper Extremity (UE) Versus Physical Function (PF) Computer Adaptive Tests (CATs) in Upper Extremity Clinics.

Authors:  Casey M Beleckas; Alex Padovano; Jason Guattery; Aaron M Chamberlain; Jay D Keener; Ryan P Calfee
Journal:  J Hand Surg Am       Date:  2017-07-12       Impact factor: 2.230

2.  Evaluation of Version 2.0 of the PROMIS Upper Extremity Computer Adaptive Test in Nonshoulder Upper Extremity Patients.

Authors:  Andrew R Tyser; Man Hung; Jerry Bounsanga; Maren W Voss; Nikolas H Kazmers
Journal:  J Hand Surg Am       Date:  2019-02-26       Impact factor: 2.230

3.  PROMIS Pain Interference and Physical Function Scores Correlate With the Foot and Ankle Ability Measure (FAAM) in Patients With Hallux Valgus.

Authors:  Devon C Nixon; Jeremy J McCormick; Jeffrey E Johnson; Sandra E Klein
Journal:  Clin Orthop Relat Res       Date:  2017-08-23       Impact factor: 4.176

Review 4.  Palliative Care in Surgery: Defining the Research Priorities.

Authors:  Elizabeth J Lilley; Zara Cooper; Margaret L Schwarze; Anne C Mosenthal
Journal:  Ann Surg       Date:  2018-01       Impact factor: 12.969

5.  Minimal Clinically Important Difference After Carpal Tunnel Release Using the PROMIS Platform.

Authors:  Nikolas H Kazmers; Man Hung; Jerry Bounsanga; Maren W Voss; Abby Howenstein; Andrew R Tyser
Journal:  J Hand Surg Am       Date:  2019-05-06       Impact factor: 2.230

6.  Preoperative PROMIS Scores Predict Postoperative PROMIS Score Improvement for Patients Undergoing Hand Surgery.

Authors:  David N Bernstein; Jeff R Houck; Ronald M Gonzalez; Danielle M Wilbur; Richard J Miller; David J Mitten; Warren C Hammert
Journal:  Hand (N Y)       Date:  2018-08-03

7.  Association of Physical Function, Anxiety, and Pain Interference in Nonshoulder Upper Extremity Patients Using the PROMIS Platform.

Authors:  Nikolas H Kazmers; Man Hung; Ajinkya A Rane; Jerry Bounsanga; Cindy Weng; Andrew R Tyser
Journal:  J Hand Surg Am       Date:  2017-09-09       Impact factor: 2.230

8.  Performance of Pediatric PROMIS CATs in Children With Upper Extremity Fractures.

Authors:  William D Gerull; Ugochi C Okoroafor; Jason Guattery; Charles A Goldfarb; Lindley B Wall; Ryan P Calfee
Journal:  Hand (N Y)       Date:  2018-08-06

9.  The Minimal Clinically Important Difference of the PROMIS and QuickDASH Instruments in a Nonshoulder Hand and Upper Extremity Patient Population.

Authors:  Nikolas H Kazmers; Yuqing Qiu; Minkyoung Yoo; Andrew R Stephens; Andrew R Tyser; Yue Zhang
Journal:  J Hand Surg Am       Date:  2020-01-16       Impact factor: 2.230

10.  Translation, cross-cultural and construct validity of the Dutch-Flemish PROMIS® upper extremity item bank v2.0.

Authors:  Erik-Jan A Haan; Caroline B Terwee; Marieke F Van Wier; Nienke W Willigenburg; Derek F P Van Deurzen; Martijn F Pisters; Aaron J Kaat; Leo D Roorda
Journal:  Qual Life Res       Date:  2020-01-01       Impact factor: 4.147

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