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Assessing cervical rotation in ankylosing spondylitis: iPhone Compass versus traditional tools
G Kenar Artin1, H Yarkan Tugsal1, B Akin1
1Department of Internal Medicine, Division of Rheumatology, Dokuz Eylul University School of Medicine, Izmir, Turkey.
Scandinavian Journal of Rheumatology
|November 10, 2025
Summary
The iPhone Compass app reliably measures cervical rotation in ankylosing spondylitis patients. This accessible smartphone tool offers a practical alternative to traditional methods for clinical use.
Area of Science:
- Rheumatology
- Biomedical Engineering
- Medical Device Technology
Background:
- Ankylosing spondylitis (AS) is a chronic inflammatory condition affecting the spine.
- Accurate measurement of cervical rotation (CR) is crucial for monitoring AS progression and treatment efficacy.
- Traditional measurement tools like inclinometers and goniometers can be cumbersome and require specialized training.
Purpose of the Study:
- To evaluate the reliability of the iPhone's built-in Compass application for measuring CR in AS patients.
- To compare the iPhone Compass app's measurements against established methods (inclinometer, universal goniometer).
Main Methods:
- 30 AS patients were recruited from a rheumatology outpatient clinic.
- Two examiners performed CR measurements twice using the iPhone Compass app, inclinometer, and universal goniometer.
- Intrarater and interrater reliability were assessed using intraclass correlation coefficients (ICCs).
- Agreement between methods was analyzed using the Bland-Altman method.
Main Results:
- Excellent intrarater and interrater reliability were found for all three measurement methods.
- Good agreement was observed between the iPhone Compass app and the inclinometer.
- The iPhone Compass app demonstrated acceptable agreement with the universal goniometer, with minor mean differences.
Conclusions:
- The iPhone Compass application is a reliable and practical tool for measuring CR in AS patients.
- Integrating smartphone technology offers an accessible and potentially cost-effective solution for clinical assessment.
- This technology holds promise for enhancing patient monitoring and clinical practice in rheumatology.
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