Accuracy and Reliability of Wearable Devices, Image Analysis Software, and Smartphone Apps for Hand Goniometry: A Systematic Review
) but had low telehealth integration scores (TIS = 38 out of 50). Image analysis systems had high reliability (interclass correlation coefficient [ICC] > .67) and telehealth usability (TIS = 42) but lacked accuracy (MD 1°-35°). Similarly, smartphone apps had low accuracy (MD 1°-12°) but high reliability (ICC > 0.83). No single device class outperforms others across all metrics. Future studies should focus on creating technologies that combine the strengths of multiple device classes.
Authors
- Christopher J. Dy (ORCID: https://orcid.org/0000-0003-1422-2483)
- Eshan Sane (ORCID: https://orcid.org/0000-0003-2960-5102)
- David M. Brogan (ORCID: https://orcid.org/0000-0001-6259-4885)
- Sundeep Chakladar
- Cole I. Davis
Institutions
- Washington University in St. Louis (US)
Publication Details
- Journal
- Hand
- Published
- 2026-04-06
- DOI
- https://doi.org/10.1177/15589447261433064
- Primary Topic
- Body Composition Measurement Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute of Arthritis and Musculoskeletal and Skin Diseases