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Reliability and criterion validity of two applications of the iPhone to measure cervical range of motion in healthy participants.
- Source :
-
Journal of NeuroEngineering & Rehabilitation (JNER) . 2013, Vol. 10 Issue 1, p1-9. 9p. 3 Color Photographs, 1 Diagram, 4 Charts. - Publication Year :
- 2013
-
Abstract
- Summary of background data: Recent smartphones, such as the iPhone, are often equipped with an accelerometer and magnetometer, which, through software applications, can perform various inclinometric functions. Although these applications are intended for recreational use, they have the potential to measure and quantify range of motion. The purpose of this study was to estimate the intra and inter-rater reliability as well as the criterion validity of the clinometer and compass applications of the iPhone in the assessment cervical range of motion in healthy participants. Methods: The sample consisted of 28 healthy participants. Two examiners measured cervical range of motion of each participant twice using the iPhone (for the estimation of intra and inter-reliability) and once with the CROM (for the estimation of criterion validity). Estimates of reliability and validity were then established using the intraclass correlation coefficient (ICC). Results: We observed a moderate intra-rater reliability for each movement (ICC = 0.65-0.85) but a poor inter-rater reliability (ICC < 0.60). For the criterion validity, the ICCs are moderate (>0.50) to good (>0.65) for movements of flexion, extension, lateral flexions and right rotation, but poor (<0.50) for the movement left rotation. Conclusion: We found good intra-rater reliability and lower inter-rater reliability. When compared to the gold standard, these applications showed moderate to good validity. However, before using the iPhone as an outcome measure in clinical settings, studies should be done on patients presenting with cervical problems. [ABSTRACT FROM AUTHOR]
- Subjects :
- *IPHONE (Smartphone)
*TABLET computers
*4G networks
*CLINOMETER
*MAGNETOMETERS
Subjects
Details
- Language :
- English
- ISSN :
- 17430003
- Volume :
- 10
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Journal of NeuroEngineering & Rehabilitation (JNER)
- Publication Type :
- Academic Journal
- Accession number :
- 89699654
- Full Text :
- https://doi.org/10.1186/1743-0003-10-69