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Evaluating the precision of computer adaptive testing in longitudinal hand surgery analyses: a psychometric approach

Abstract:
Patient-reported outcome measures (PROMs) are essential in hand surgery for assessing patient health but it can be time-consuming. Computerized adaptive testing (CAT) offers a more efficient alternative by reducing the number of questions asked. This study sourced the data of 268 patients undergoing cubital tunnel release from the UK Hand Registry to evaluate whether CAT’s inherent imprecision affects longitudinal research conclusions. Mean patient evaluation measure (PEM) scores at baseline, 2 months and 6 months from the traditional full-length assessment (10 questions) were compared with the simulated scores assuming that the CAT version (median of 2 questions) was used. Both methods showed significant improvements in PEM scores post-surgery (p < 0.01), with minimal differences between the mean scores and overlapping confidence intervals. These findings confirm that CAT replicates full-length PROM results while significantly reducing patient burden, thereby supporting its use in clinical and research settings for hand surgery.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.bjps.2025.02.013

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Surgical Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Surgical Sciences
Oxford college:
Exeter College
Role:
Author
ORCID:
0000-0002-8279-7732
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Surgical Sciences
Role:
Author


More from this funder
Funder identifier:
https://ror.org/015ah0c92
Funding agency for:
Harrison, CJ
Rodrigues, JN
Grant:
NIHR300684
PDF-2017-10-075


Publisher:
Elsevier
Journal:
Journal of Plastic, Reconstructive and Aesthetic Surgery More from this journal
Volume:
104
Pages:
434-439
Publication date:
2025-02-20
Acceptance date:
2025-02-10
DOI:
EISSN:
1878-0539
ISSN:
1748-6815


Language:
English
Keywords:
Pubs id:
2092153
Local pid:
pubs:2092153
Deposit date:
2025-03-13
ARK identifier:

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