Literature DB >> 29085729

At Home Photography-Based Method for Measuring Wrist Range of Motion.

Samir K Trehan1, Schneider K Rancy1, Parker H Johnsen1, Howard J Hillstrom2, Steve K Lee1, Scott W Wolfe1.   

Abstract

Purpose  To determine the reliability of wrist range of motion (WROM) measurements based on digital photographs taken by patients at home compared with traditional measurements done in the office with a goniometer. Methods  Sixty-nine postoperative patients were enrolled in this study at least 3 months postoperatively. Active and passive wrist flexion/extension and radial/ulnar deviation were recorded by one of the two attending surgeons with a 1-degree resolution goniometer at the last postoperative office visit. Patients were provided an illustrated instruction sheet detailing how to take digital photographic images at home in six wrist positions (active and passive flexion/extension, and radial/ulnar deviation). Wrist position was measured from digital images by both the attending surgeons in a randomized, blinded fashion on two separate occasions greater than 2 weeks apart using the same goniometer. Reliability analysis was performed using the intraclass correlation coefficient to assess agreement between clinical and photography-based goniometry, as well as intra- and interobserver agreement. Results  Out of 69 enrolled patients, 30 (43%) patients sent digital images. Of the 180 digital photographs, only 9 (5%) were missing or deemed inadequate for WROM measurements. Agreement between clinical and photography-based measurements was "almost perfect" for passive wrist flexion/extension and "substantial" for active wrist flexion/extension and radial/ulnar deviation. Inter- and intraobserver agreement for the attending surgeons was "almost perfect" for all measurements. Discussion  This study validates a photography-based goniometry protocol allowing accurate and reliable WROM measurements without direct physician contact. Passive WROM was more accurately measured from photographs than active WROM. This study builds on previous photography-based goniometry literature by validating a protocol in which patients or their families take and submit their own photographs. Clinical Relevance  Patient-performed photography-based goniometry represents an alternative to traditional clinical goniometry that could enable longer-term follow-up, overcome travel-related impediments to office visits, improve convenience, and reduce costs for patients.

Entities:  

Keywords:  digital images; distance learning; remote access; wrist goniometry; wrist range of motion

Year:  2017        PMID: 29085729      PMCID: PMC5658219          DOI: 10.1055/s-0037-1599830

Source DB:  PubMed          Journal:  J Wrist Surg        ISSN: 2163-3916


  16 in total

1.  Accuracy and inter-observer reliability of visual estimation compared to clinical goniometry of the elbow.

Authors:  Davide Blonna; Peter C Zarkadas; James S Fitzsimmons; Shawn W O'Driscoll
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-11-17       Impact factor: 4.342

2.  Validity and reliability of using photography for measuring knee range of motion: a methodological study.

Authors:  Justine M Naylor; Victoria Ko; Sam Adie; Clive Gaskin; Richard Walker; Ian A Harris; Rajat Mittal
Journal:  BMC Musculoskelet Disord       Date:  2011-04-18       Impact factor: 2.362

3.  Accuracy and reliability of three different techniques for manual goniometry for wrist motion: a cadaveric study.

Authors:  Timothy I Carter; Brian Pansy; Aviva L Wolff; Howard J Hillstrom; Sherry I Backus; Mark Lenhoff; Scott W Wolfe
Journal:  J Hand Surg Am       Date:  2009-08-22       Impact factor: 2.230

4.  Validity of goniometric elbow measurements: comparative study with a radiographic method.

Authors:  Julien Chapleau; Fanny Canet; Yvan Petit; G-Yves Laflamme; Dominique M Rouleau
Journal:  Clin Orthop Relat Res       Date:  2011-07-21       Impact factor: 4.176

5.  Comparative analysis of photograph-based clinical goniometry to standard techniques.

Authors:  Jared A Crasto; Arash J Sayari; Robert R-L Gray; Morad Askari
Journal:  Hand (N Y)       Date:  2015-06

6.  Validation of a photography-based goniometry method for measuring joint range of motion.

Authors:  Davide Blonna; Peter C Zarkadas; James S Fitzsimmons; Shawn W O'Driscoll
Journal:  J Shoulder Elbow Surg       Date:  2011-10-08       Impact factor: 3.019

7.  Development of an anatomical wrist joint coordinate system to quantify motion during functional tasks.

Authors:  Howard J Hillstrom; Rohit Garg; Andrew Kraszewski; Mark Lenhoff; Timothy Carter; Sherry I Backus; Aviva Wolff; Grigory Syrkin; Richard Cheng; Scott W Wolfe
Journal:  J Appl Biomech       Date:  2014-03-10       Impact factor: 1.833

8.  Sources of goniometric error at the elbow.

Authors:  D R Fish; L Wingate
Journal:  Phys Ther       Date:  1985-11

9.  Reliability of goniometric measurements.

Authors:  D C Boone; S P Azen; C M Lin; C Spence; C Baron; L Lee
Journal:  Phys Ther       Date:  1978-11

10.  A study on the measurement of wrist motion range using the iPhone 4 gyroscope application.

Authors:  Tae Seob Kim; David Dae Hwan Park; Young Bae Lee; Dong Gil Han; Jeong Su Shim; Young Jig Lee; Peter Chan Woo Kim
Journal:  Ann Plast Surg       Date:  2014-08       Impact factor: 1.539

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