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This article and any supplementary material should be cited as follows: Resnik L, Tian F, Ni P, Jette A. Computer-adaptive test to measure community reintegration.

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Presentation on theme: "This article and any supplementary material should be cited as follows: Resnik L, Tian F, Ni P, Jette A. Computer-adaptive test to measure community reintegration."— Presentation transcript:

1 This article and any supplementary material should be cited as follows: Resnik L, Tian F, Ni P, Jette A. Computer-adaptive test to measure community reintegration of veterans. J Rehabil Res Dev. 2012;49(4):557–66. http://dx.doi.org/10.1682/JRRD.2011.04.0081 Slideshow Project DOI:10.1682/JRRD.2011.04.0081JSP Computer-adaptive test to measure community reintegration of veterans Linda Resnik, PT, PhD, OCS; Feng Tian; Pengsheng Ni, MD; Alan Jette, PhD, PT

2 This article and any supplementary material should be cited as follows: Resnik L, Tian F, Ni P, Jette A. Computer-adaptive test to measure community reintegration of veterans. J Rehabil Res Dev. 2012;49(4):557–66. http://dx.doi.org/10.1682/JRRD.2011.04.0081 Slideshow Project DOI:10.1682/JRRD.2011.04.0081JSP Aim – Develop and evaluate briefer version of Community Reintegration of Injured Service Members (CRIS) measure. Used item response theory (IRT) and computer-adaptive test (CAT) methodologies. Relevance – Early identification and prevention of community reintegration problems and evaluation of clinical interventions to promote healthy social role functioning require accurate assessment and monitoring of community reintegration.

3 This article and any supplementary material should be cited as follows: Resnik L, Tian F, Ni P, Jette A. Computer-adaptive test to measure community reintegration of veterans. J Rehabil Res Dev. 2012;49(4):557–66. http://dx.doi.org/10.1682/JRRD.2011.04.0081 Slideshow Project DOI:10.1682/JRRD.2011.04.0081JSP Methods Constructed large item banks for each CRIS scale. Tested on convenience sample of 517 Veterans. Used exploratory and confirmatory factor analyses to identify dimensionality within each domain. Used IRT to calibrate items. Compared accuracy and precision of CATs of different lengths with full-item bank. Examined data for differential item functioning (DIF).

4 This article and any supplementary material should be cited as follows: Resnik L, Tian F, Ni P, Jette A. Computer-adaptive test to measure community reintegration of veterans. J Rehabil Res Dev. 2012;49(4):557–66. http://dx.doi.org/10.1682/JRRD.2011.04.0081 Slideshow Project DOI:10.1682/JRRD.2011.04.0081JSP Results Confirmatory factor analyses supported scales’ unidimensionality. Acceptable item fit statistics found for final models. High accuracy (0.88+) found for 10-, 15-, 20-, and variable-item CATS for all scales. CAT precision increased with number of items and decreased at upper ranges of each scale. Three items exhibited moderate DIF by sex.

5 This article and any supplementary material should be cited as follows: Resnik L, Tian F, Ni P, Jette A. Computer-adaptive test to measure community reintegration of veterans. J Rehabil Res Dev. 2012;49(4):557–66. http://dx.doi.org/10.1682/JRRD.2011.04.0081 Slideshow Project DOI:10.1682/JRRD.2011.04.0081JSP Conclusions CRIS-CAT demonstrated promising measurement properties and is recommended for use in community reintegration assessment. Routine community reintegration assessment would: – Enhance patient assessment and targeting of referrals to mental health, social services, and Veterans Health Administration benefit programs. – Inform primary care and other interventions that address underlying factors related to poor community reintegration.

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