Literature DB >> 24654927

Reliability and validity of goniometric iPhone applications for the assessment of active shoulder external rotation.

Katy Mitchell1, Simran Bakshi Gutierrez, Stacy Sutton, Stephanie Morton, Andrea Morgenthaler.   

Abstract

PURPOSE/HYPOTHESIS: The purpose of this study was to determine the reliability and validity of two smartphone applications: (1) GetMyROM - inclinometery-based and (2) DrGoniometry - photo-based in the measurement of active shoulder external rotation (ER) as compared to standard goniometry (SG). PARTICIPANTS: Ninety-four Texas Woman's University Doctor of Physical Therapy students from the School of Physical Therapy - Houston campus, were recruited to participate in this study. MATERIALS/
METHODS: Two iPhone applications were compared to SG using both novice and experienced raters. Active shoulder ER range of motion was measured over two time periods in random order by blinded novice and experienced raters.
RESULTS: Intra-rater reliability using novice raters for the two applications ranged from an intraclass correlation coefficient (ICC) of 0.79 to 0.81 with SG at 0.82. Inter-rater reliability (novice/expert) for the two applications ranged from an ICC of 0.92 to 0.94 with SG at 0.91. Concurrent validity (when compared to SG) ranged from 0.93 to 0.94. There were no significant differences between the novice and experienced raters.
CONCLUSION: Both applications were found to be reliable and comparable to SG. A photo-based application potentially offers a superior method of measurement as visualizing the landmarks may be simplified in this format and it provides a record of measurement. CLINICAL RELEVANCE: Further study using patient populations may find the two studied applications are useful as an adjunct for clinical practice.

Entities:  

Keywords:  Goniometry; measurement; shoulder

Mesh:

Year:  2014        PMID: 24654927     DOI: 10.3109/09593985.2014.900593

Source DB:  PubMed          Journal:  Physiother Theory Pract        ISSN: 0959-3985            Impact factor:   2.279


  23 in total

1.  Range of Motion Measurements of the Fingers Via Smartphone Photography.

Authors:  John Z Zhao; Philip E Blazar; Ariana N Mora; Brandon E Earp
Journal:  Hand (N Y)       Date:  2019-01-28

2.  Adoption of Telemedicine: A Debrief for the Orthopedic Practitioner.

Authors:  Karim A Shafi; Katherine Fortson; Sravisht Iyer
Journal:  HSS J       Date:  2021-02-21

3.  Validity and reliability of arm abduction angle measured on smartphone: a cross-sectional study.

Authors:  Antonio I Cuesta-Vargas; Cristina Roldán-Jiménez
Journal:  BMC Musculoskelet Disord       Date:  2016-02-20       Impact factor: 2.362

4.  Studying Upper-Limb Kinematics Using Inertial Sensors Embedded in Mobile Phones.

Authors:  Cristina Roldan-Jimenez; Antonio Cuesta-Vargas; Paul Bennett
Journal:  JMIR Rehabil Assist Technol       Date:  2015-05-20

5.  RELIABILITY AND VALIDITY OF THE HALO DIGITAL GONIOMETER FOR SHOULDER RANGE OF MOTION IN HEALTHY SUBJECTS.

Authors:  Sarah Correll; Jennifer Field; Heather Hutchinson; Gabby Mickevicius; Amber Fitzsimmons; Betty Smoot
Journal:  Int J Sports Phys Ther       Date:  2018-08

6.  Smartphone Applications as a Suitable Alternative to CROM Device and Inclinometers in Assessing the Cervical Range of Motion in Patients With Nonspecific Neck Pain.

Authors:  Faezeh Ghorbani; Mojtaba Kamyab; Fatemeh Azadinia
Journal:  J Chiropr Med       Date:  2020-09-03

7.  Performance Evaluation of Smartphone Inertial Sensors Measurement for Range of Motion.

Authors:  Quentin Mourcou; Anthony Fleury; Céline Franco; Frédéric Klopcic; Nicolas Vuillerme
Journal:  Sensors (Basel)       Date:  2015-09-15       Impact factor: 3.576

8.  Reliability of measuring the passive range of shoulder horizontal adduction using a smartphone in the supine versus the side-lying position.

Authors:  Jin-Yong Lim; Tae-Ho Kim; Jung-Seok Lee
Journal:  J Phys Ther Sci       Date:  2015-10-30

Review 9.  Mobile Phone-Based Joint Angle Measurement for Functional Assessment and Rehabilitation of Proprioception.

Authors:  Quentin Mourcou; Anthony Fleury; Bruno Diot; Céline Franco; Nicolas Vuillerme
Journal:  Biomed Res Int       Date:  2015-10-25       Impact factor: 3.411

10.  Smartphone and Universal Goniometer for Measurement of Elbow Joint Motions: A Comparative Study.

Authors:  Behnam Behnoush; Nasim Tavakoli; Elham Bazmi; Fariborz Nateghi Fard; Mohammad Hossein Pourgharib Shahi; Arash Okazi; Tahmineh Mokhtari
Journal:  Asian J Sports Med       Date:  2016-06-11
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