Mobile Online Computer-Adaptive Tests (CAT) for Gathering Patient Feedback in Pediatric Consultations
Applied and Computational Mathematics
Volume 6, Issue 4-1, July 2017, Pages: 64-71
Received: Dec. 19, 2016; Accepted: Jan. 9, 2017; Published: Feb. 6, 2017
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Authors
Tsair-Wei Chien, Research Department, Chi-Mei Medical Center, Tainan, Taiwan; Department of Hospital and Health Care Administration, Chia-Nan University of Pharmacy and Science, Tainan, Taiwan
Wen-Pin Lai, Department of Emergency Medicine, Chi-Mei Medical Center, Tainan, Taiwan
Ju-Hao Hsieh, Department of Emergency Medicine, Chi-Mei Medical Center, Tainan, Taiwan
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Abstract
Background: Few studies have used online patient feedback from smartphones for computer adaptive testing (CAT). Objective: We developed a mobile online CAT survey procedure and evaluated whether it was more precise and efficient than traditional non-adaptive testing (NAT) when gathering patient feedback about their perceptions of interaction with a physician after a consultation. Method: Two hundred proxy participants (parents or guardians) were recruited to respond to twenty 5-point questions (the P4C_20 scale) about perceptions of doctor-patient and doctor-family interaction in clinical pediatric consultations. Through the parameters calibrated using a Rasch partial credit model (PCM) and a Rasch rating scale model (RSM), two paired comparisons of empirical and simulation data were administered to calculate and compare the efficiency and precision of CAT and NAT in terms of shorter item length and fewer counts of difference number ratio (< 5%) using independent t tests. An online CAT was designed using two modes of PCM and RSM for use in clinical settings. Results: The graphical online CAT for smartphones used by the parents or guardians of pediatric hospital patients was more efficient and no less precise than NAT. Conclusions: CAT-based administration of the P4C_20 substantially reduced respondent burden without compromising measurement precision.
Keywords
Computer Adaptive Testing, Non-daptive Testing, Partial Credit Model, Rasch Analysis, Rating Scale Model
To cite this article
Tsair-Wei Chien, Wen-Pin Lai, Ju-Hao Hsieh, Mobile Online Computer-Adaptive Tests (CAT) for Gathering Patient Feedback in Pediatric Consultations, Applied and Computational Mathematics. Special Issue: Some Novel Algorithms for Global Optimization and Relevant Subjects. Vol. 6, No. 4-1, 2017, pp. 64-71. doi: 10.11648/j.acm.s.2017060401.16
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Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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