Literature DB >> 22510680

Structured interview to improve the reliability and psychometric integrity of the Disability Rating Scale.

James F Malec1, Flora M Hammond, Joseph T Giacino, John Whyte, Jerry Wright.   

Abstract

OBJECTIVES: To (1) develop a standardized interview for telephone administration, (2) assess the psychometric properties of this interview format (Disability Rating Scale-Postacute Interview [DRS-PI]), and (3) identify additional items to reduce skew.
DESIGN: Prospective cohort assessment study.
SETTING: Not applicable. PARTICIPANTS: Participants (N=406; 287 individuals with traumatic brain injury [TBI], 119 caregivers) in the U.S. TBI Model Systems national database during 1- to 20-year telephone follow-up.
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Original Disability Rating Scale (DRS) and DRS-PI variations. DRS-PI questions were developed by consensus of the study investigators; item scores were derived from responses to questions by algorithm. Unnecessary questions were pruned.
RESULTS: The DRS-PI correlated highly with the original DRS (intraclass correlation, .91) and demonstrated satisfactory construct validity and internal consistency (person separation/reliability, 2.51/.86; item separation/reliability, 16.72/1.00; Cronbach α=.83). Both versions showed substantial skew. For the original DRS, 42% of scores were 0 or 1; for DRS-PI, 44%. Adding several items to the DRS-PI including actual employment status further improved its psychometric properties (person separation/reliability, 3.10/.91; item separation/reliability, 21.42/1.00; Cronbach α=.92) and reduced skew. For the Expanded DRS-PI, 18% of scores were 0 or 1.
CONCLUSIONS: The DRS-PI provides an efficient method to ensure standardized administration of, and correlates highly with, the original DRS. The addition of several new items including actual employment status mitigates skew in postacute samples.
Copyright © 2012 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22510680     DOI: 10.1016/j.apmr.2012.04.003

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  5 in total

1.  The Minimal Clinically Important Difference for the Mayo-Portland Adaptability Inventory.

Authors:  James F Malec; Jacob Kean; Patrick O Monahan
Journal:  J Head Trauma Rehabil       Date:  2017 Jul/Aug       Impact factor: 2.710

Review 2.  Neuropsychological Predictors of Outcome Following Traumatic Brain Injury in Adults: a Meta-Analysis.

Authors:  Fiona Allanson; Carmela Pestell; Gilles E Gignac; Yong Xiang Yeo; Michael Weinborn
Journal:  Neuropsychol Rev       Date:  2017-07-05       Impact factor: 7.444

3.  Predictive utility of an adapted Marshall head CT classification scheme after traumatic brain injury.

Authors:  Allen W Brown; Christopher R Pretz; Kathleen R Bell; Flora M Hammond; David B Arciniegas; Yelena G Bodien; Kristen Dams-O'Connor; Joseph T Giacino; Tessa Hart; Douglas Johnson-Greene; Robert G Kowalski; William C Walker; Alan Weintraub; Ross Zafonte
Journal:  Brain Inj       Date:  2019-01-19       Impact factor: 2.311

4.  Developing an instrument for an early prediction model of long-term functional outcomes in people with acquired injuries of the central nervous system: protocol and methodological aspects.

Authors:  Stefano Masiero; Humberto Antonio Cerrel Bazo; Marcello Rattazzi; Laura Bernardi; Marina Munari; Elisabetta Faggin; Manuela Cattelan; Paolo Pauletto; Alessandra Del Felice
Journal:  Neurol Sci       Date:  2020-10-19       Impact factor: 3.307

5.  Functional Outcome Trajectories Following Inpatient Rehabilitation for TBI in the United States: A NIDILRR TBIMS and CDC Interagency Collaboration.

Authors:  Kristen Dams-O'Connor; Jessica M Ketchum; Jeffrey P Cuthbert; John D Corrigan; Flora M Hammond; Juliet Haarbauer-Krupa; Robert G Kowalski; A Cate Miller
Journal:  J Head Trauma Rehabil       Date:  2020 Mar/Apr       Impact factor: 3.117

  5 in total

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