Literature DB >> 28866959

A comparison of computerized adaptive testing and fixed-length short forms for the Prosthetic Limb Users Survey of Mobility (PLUS-MTM).

Dagmar Amtmann1, Alyssa M Bamer1, Jiseon Kim1, Fraser Bocell1, Hyewon Chung2, Ryoungsun Park3, Rana Salem1, Brian J Hafner1.   

Abstract

BACKGROUND: New health status instruments can be administered by computerized adaptive test or short forms. The Prosthetic Limb Users Survey of Mobility (PLUS-MTM) is a self-report measure of mobility for prosthesis users with lower limb loss. This study used the PLUS-M to examine advantages and disadvantages of computerized adaptive test and short forms.
OBJECTIVES: To compare scores obtained from computerized adaptive test to scores obtained from fixed-length short forms (7-item and 12-item) in order to provide guidance to researchers and clinicians on how to select the best form of administration for different uses. STUDY
DESIGN: Cross-sectional, observational study.
METHODS: Individuals with lower limb loss completed the PLUS-M by computerized adaptive test and short forms. Administration time, correlations between the scores, and standard errors were compared.
RESULTS: Scores and standard errors from the computerized adaptive test, 7-item short form, and 12-item short form were highly correlated and all forms of administration were efficient. Computerized adaptive test required less time to administer than either paper or electronic short forms; however, time savings were minimal compared to the 7-item short form.
CONCLUSION: Results indicate that the PLUS-M computerized adaptive test is most efficient, and differences in scores between administration methods are minimal. The main advantage of the computerized adaptive test was more reliable scores at higher levels of mobility compared to short forms. Clinical relevance Health-related item banks, like the Prosthetic Limb Users Survey of Mobility (PLUS-MTM), can be administered by computerized adaptive testing (CAT) or as fixed-length short forms (SFs). Results of this study will help clinicians and researchers decide whether they should invest in a CAT administration system or whether SFs are more appropriate.

Entities:  

Keywords:  Artificial limbs; lower limb amputation; outcomes assessment; patient-reported outcome measures; rehabilitation; self-report survey

Mesh:

Year:  2017        PMID: 28866959      PMCID: PMC5832493          DOI: 10.1177/0309364617728118

Source DB:  PubMed          Journal:  Prosthet Orthot Int        ISSN: 0309-3646            Impact factor:   1.895


  16 in total

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Authors:  Man Hung; Daniel O Clegg; Tom Greene; Charlene Weir; Charles L Saltzman
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3.  Psychometric evaluation of self-report outcome measures for prosthetic applications.

Authors:  Brian J Hafner; Sara J Morgan; Robert L Askew; Rana Salem
Journal:  J Rehabil Res Dev       Date:  2016

4.  The future of outcomes measurement: item banking, tailored short-forms, and computerized adaptive assessment.

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Journal:  Qual Life Res       Date:  2007-03-31       Impact factor: 4.147

5.  Development of a PROMIS item bank to measure pain interference.

Authors:  Dagmar Amtmann; Karon F Cook; Mark P Jensen; Wen-Hung Chen; Seung Choi; Dennis Revicki; David Cella; Nan Rothrock; Francis Keefe; Leigh Callahan; Jin-Shei Lai
Journal:  Pain       Date:  2010-07       Impact factor: 6.961

6.  The development of a clinical outcomes survey research application: Assessment Center.

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Journal:  Qual Life Res       Date:  2010-03-21       Impact factor: 4.147

7.  Score comparability of short forms and computerized adaptive testing: Simulation study with the activity measure for post-acute care.

Authors:  Stephen M Haley; Wendy J Coster; Patricia L Andres; Mark Kosinski; Pengsheng Ni
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8.  Efficiency of static and computer adaptive short forms compared to full-length measures of depressive symptoms.

Authors:  Seung W Choi; Steven P Reise; Paul A Pilkonis; Ron D Hays; David Cella
Journal:  Qual Life Res       Date:  2009-11-26       Impact factor: 4.147

9.  Letting the CAT out of the bag: comparing computer adaptive tests and an 11-item short form of the Roland-Morris Disability Questionnaire.

Authors:  Karon F Cook; Seung W Choi; Paul K Crane; Richard A Deyo; Kurt L Johnson; Dagmar Amtmann
Journal:  Spine (Phila Pa 1976)       Date:  2008-05-20       Impact factor: 3.468

10.  Creating a computer adaptive test version of the late-life function and disability instrument.

Authors:  Alan M Jette; Stephen M Haley; Pengsheng Ni; Sippy Olarsch; Richard Moed
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2008-11       Impact factor: 6.053

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  3 in total

1.  Japanese translation and linguistic validation of the Prosthetic Limb Users Survey of Mobility (PLUS-M).

Authors:  Geoffrey S Balkman; Soshi Samejima; Kazuki Fujimoto; Brian J Hafner
Journal:  Prosthet Orthot Int       Date:  2022-02-01       Impact factor: 1.672

2.  Mobility Analysis of AmpuTees II: Comorbidities and Mobility in Lower Limb Prosthesis Users.

Authors:  Shane R Wurdeman; Phillip M Stevens; James H Campbell
Journal:  Am J Phys Med Rehabil       Date:  2018-11       Impact factor: 2.159

3.  Comparison of Patient-Reported Outcomes Measurement Information System Computerized Adaptive Testing Versus Fixed Short Forms in Juvenile Myositis.

Authors:  Ruchi N Patel; Valeria G Esparza; Jin-Shei Lai; Elizabeth L Gray; Bryce B Reeve; Rowland W Chang; David Cella; Kaveh Ardalan
Journal:  Arthritis Care Res (Hoboken)       Date:  2021-07-30       Impact factor: 5.178

  3 in total

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