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Computerized adaptive testing of symptom severity : a registry-based study of 924 patients with trapeziometacarpal arthritis

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Kamran, Rakhshan, Rodrigues, Jeremy N., Dobbs, Thomas D., Wormald, Justin C. R., Trickett, Ryan W. and Harrison, Conrad J. (2022) Computerized adaptive testing of symptom severity : a registry-based study of 924 patients with trapeziometacarpal arthritis. Journal of Hand Surgery (European Volume), 47 (9). pp. 893-898. doi:10.1177/17531934221087572 ISSN 1753-1934.

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Official URL: https://doi.org/10.1177/17531934221087572

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Abstract

We aimed to develop a computerized adaptive testing (CAT) version of the 11 item Patient Evaluation Measure (PEM), using an item response theory model. This model transformed the ordinal scores into ratio-interval scores. We obtained PEM responses from 924 patients with trapeziometacarpal osteoarthritis to build a CAT model and tested its performance on a simulated cohort of 1000 PEM response sets. The CAT achieved high precision (median standard error or measurement 0.26) and reduced the number of questions needed for accurate scoring from 11 to median two. The CAT scores and item-response-theory-based 15-item PEM scores were similar, and a Bland–Altman analysis demonstrated a mean score difference of 0.2 between the CAT and the full-length PEM scores on a scale from 0 to 100. We conclude that the CAT substantially reduced the burden of the PEM while also harnessing the validity of item response theory scoring.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
R Medicine > R Medicine (General)
R Medicine > RA Public aspects of medicine
R Medicine > RC Internal medicine
Divisions: Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Clinical Trials Unit
Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School
SWORD Depositor: Library Publications Router
Library of Congress Subject Headings (LCSH): Osteoarthritis, Osteoarthritis -- Diagnosis -- Computer simulation, Outcome assessment (Medical care), Computer adaptive testing
Journal or Publication Title: Journal of Hand Surgery (European Volume)
Publisher: Sage Publications Ltd.
ISSN: 1753-1934
Official Date: October 2022
Dates:
DateEvent
October 2022Published
22 March 2022Available
27 February 2022Accepted
Volume: 47
Number: 9
Page Range: pp. 893-898
DOI: 10.1177/17531934221087572
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 4 April 2022
Date of first compliant Open Access: 5 April 2022
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
NIHR301792National Institute for Health Researchhttp://dx.doi.org/10.13039/501100000272
NIHR300684National Institute for Health Researchhttp://dx.doi.org/10.13039/501100000272
NIHR301793National Institute for Health Researchhttp://dx.doi.org/10.13039/501100000272
PDF-2017-10-075National Institute for Health Researchhttp://dx.doi.org/10.13039/501100000272

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