Literature DB >> 20592269

Development of a computerized adaptive test for assessing balance function in patients with stroke.

I-Ping Hsueh1, Jyun-Hong Chen, Chun-Hou Wang, Cheng-Te Chen, Ching-Fan Sheu, Wen-Chung Wang, Wen-Hsuan Hou, Ching-Lin Hsieh.   

Abstract

BACKGROUND: An efficient and precise measure of balance is needed to improve administration efficiency and to reduce the assessment burden for patients.
OBJECTIVE: The purpose of this study was to develop a computerized adaptive testing (CAT) system for assessing balance function in an efficient, reliable, and valid fashion in patients with stroke.
DESIGN: Two cross-sectional prospective studies were conducted.
SETTING: This study was conducted in the departments of physical medicine and rehabilitation in 6 hospitals. PATIENTS: The participants were inpatients and outpatients who were receiving rehabilitation. MEASUREMENTS: A balance item pool (41 items) was developed on the basis of predefined balance concepts, expert opinions, and field testing. The items were administered by 5 raters to 764 patients. An item response theory model was fit to the data, and the item parameters were estimated. A simulation study was used to determine the performance (eg, reliability, efficiency) of the Balance CAT. The Balance CAT and the Berg Balance Scale (BBS) then were tested on another independent sample of 56 patients to determine the concurrent validity and time needed for administration.
RESULTS: Seven items did not meet the model's expectations and were excluded from further analysis. The remaining 34 items formed the item bank of the Balance CAT. Two stopping rules (ie, reliability coefficient > 0.9 or < or = 6 items) were set for the CAT. The simulation study showed that the patients' balance scores estimated by the CAT had an average reliability value of .94. The scores obtained from the CAT were closely associated with those of the full item set (Pearson r=.98). The scores of the Balance CAT were highly correlated with those of the BBS (Pearson r=.88). The average time needed to administer the Balance CAT (83 seconds) was only 18% of that of the BBS. LIMITATIONS: The convenience sampling of both samples may limit the generalization of the results. Further psychometric investigation of the Balance CAT is needed.
CONCLUSION: The results provide strong evidence that the Balance CAT is efficient and has reliability and validity for patients with stroke.

Entities:  

Mesh:

Year:  2010        PMID: 20592269     DOI: 10.2522/ptj.20090395

Source DB:  PubMed          Journal:  Phys Ther        ISSN: 0031-9023


  7 in total

1.  Computer-adaptive balance testing improves discrimination between community-dwelling elderly fallers and nonfallers.

Authors:  Poonam K Pardasaney; Pengsheng Ni; Mary D Slavin; Nancy K Latham; Robert C Wagenaar; Jonathan Bean; Alan M Jette
Journal:  Arch Phys Med Rehabil       Date:  2014-03-28       Impact factor: 3.966

2.  Sensitivity to change and responsiveness of four balance measures for community-dwelling older adults.

Authors:  Poonam K Pardasaney; Nancy K Latham; Alan M Jette; Robert C Wagenaar; Pengsheng Ni; Mary D Slavin; Jonathan F Bean
Journal:  Phys Ther       Date:  2011-11-23

3.  A Dynamic Stratification Method for Improving Trait Estimation in Computerized Adaptive Testing Under Item Exposure Control.

Authors:  Jyun-Hong Chen; Hsiu-Yi Chao; Shu-Ying Chen
Journal:  Appl Psychol Meas       Date:  2019-04-23

Review 4.  Walking adaptability after a stroke and its assessment in clinical settings.

Authors:  Chitralakshmi K Balasubramanian; David J Clark; Emily J Fox
Journal:  Stroke Res Treat       Date:  2014-08-28

5.  Simulation study of activities of daily living functions using online computerized adaptive testing.

Authors:  Tsair-Wei Chien; Weir-Sen Lin
Journal:  BMC Med Inform Decis Mak       Date:  2016-10-10       Impact factor: 2.796

6.  Different weight shift trainings can improve the balance performance of patients with a chronic stroke: A randomized controlled trial.

Authors:  Wan-Chun Liao; Chung-Liang Lai; Pi-Shan Hsu; Kun-Chung Chen; Chun-Hou Wang
Journal:  Medicine (Baltimore)       Date:  2018-11       Impact factor: 1.889

7.  Applying computerized adaptive testing to the Negative Acts Questionnaire-Revised: Rasch analysis of workplace bullying.

Authors:  Shu-Ching Ma; Tsair-Wei Chien; Hsiu-Hung Wang; Yu-Chi Li; Mei-Shu Yui
Journal:  J Med Internet Res       Date:  2014-02-17       Impact factor: 5.428

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.