Literature DB >> 23329557

Development of a computerized adaptive test for assessing activities of daily living in outpatients with stroke.

I-Ping Hsueh1, Jyun-Hong Chen, Chun-Hou Wang, Wen-Hsuan Hou, Ching-Lin Hsieh.   

Abstract

BACKGROUND: An efficient, reliable, and valid measure for assessing activities of daily living (ADL) function is useful to improve the efficiency of patient management and outcome measurement.
OBJECTIVE: The purpose of this study was to construct a computerized adaptive testing (CAT) system for measuring ADL function in outpatients with stroke.
DESIGN: Two cohort studies were conducted at 6 hospitals in Taiwan.
METHODS: A candidate item bank (44 items) was developed, and 643 outpatients were interviewed. An item response theory model was fitted to the data and estimated the item parameters (eg, difficulty and discrimination) for developing the ADL CAT. Another sample of 51 outpatients was interviewed to examine the concurrent validity and efficiency of the CAT. The ADL CAT, as the outcome measure, and the Barthel index (BI) and Frenchay Activities index (FAI) were administered on the second group of participants.
RESULTS: Ten items did not satisfy the model's expectations and were deleted. Thirty-four items were included in the final item bank. Two stopping rules (ie, reliability coefficient >.9 and maximum test length of 7 items) were set for the CAT. The participants' ADL scores had an average reliability of .93. The CAT scores were highly associated with those of the full 34 items (Pearson r=.98). The scores of the CAT were closely correlated with those of the combined BI and FAI (r=.82). The time required to complete the CAT was about one fifth of the time used to administer both the BI and FAI. LIMITATIONS: The participants were outpatients living in the community. Further studies are needed to cross-validate the results.
CONCLUSIONS: The results demonstrated that the ADL CAT is quick to administer, reliable, and valid in outpatients with stroke.

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Mesh:

Year:  2013        PMID: 23329557     DOI: 10.2522/ptj.20120173

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


  8 in total

Review 1.  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

2.  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

3.  Development and Validation of the Occupational Therapy Engagement Scale for Patients with Stroke.

Authors:  Tzu-Yi Wu; Bella Ya-Hui Lien; Anthony H Lequerica; Wen-Shian Lu; Ching-Lin Hsieh
Journal:  Occup Ther Int       Date:  2019-03-06       Impact factor: 1.448

4.  Classification and Regression Tree and Computer Adaptive Testing in Cardiac Rehabilitation: Instrument Validation Study.

Authors:  Linda Peute; Thom Scheeve; Monique Jaspers
Journal:  J Med Internet Res       Date:  2020-01-30       Impact factor: 5.428

5.  Use of Computerized Adaptive Testing to Develop More Concise Patient-Reported Outcome Measures.

Authors:  Liam T Kane; Surena Namdari; Otho R Plummer; Pedro Beredjiklian; Alexander Vaccaro; Joseph A Abboud
Journal:  JB JS Open Access       Date:  2020-03-12

6.  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.  Improving Inpatient Surveys: Web-Based Computer Adaptive Testing Accessed via Mobile Phone QR Codes.

Authors:  Tsair-Wei Chien; Weir-Sen Lin
Journal:  JMIR Med Inform       Date:  2016-03-02

8.  Estimating Skin Cancer Risk: Evaluating Mobile Computer-Adaptive Testing.

Authors:  Ngadiman Djaja; Monika Janda; Catherine M Olsen; David C Whiteman; Tsair-Wei Chien
Journal:  J Med Internet Res       Date:  2016-01-22       Impact factor: 5.428

  8 in total

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