Smartphone Goniometric Application for the Assessment of Active Wrist Range of Motion: A Reliability and Validity Study on Asymptomatic Subjects

Smartphone Goniometric Application for the Assessment of Active Wrist Range of Motion

Abstract

Background: Joint motion measurements are important component of physical evaluation. To perform the active ROM, the patient willingly transfers the body part through the ROM without any help to execute successful ROM and to perform the passive ROM the body moves through the ROM by the therapist or some external force. For the assessment of ROM of joint the therapist must have the sound knowledge of anatomy. It includes the joint articulations, motions and limiting factors. Methods: This study was a cross sectional survey which enlisted 100 participants through non-probability convenient sampling. The data was collected from general population of Lahore including both male and female, age 18-65 years, while individuals with wrist deformities, pregnant females, amputed limb and fracture history of wrist were excluded. The ROM of wrist joint which includes flexion, extension, ulnar deviation and radial deviation of both hands was measured through universal goniometer and Smartphone goniometric application at three different occasions. Results: Results were analyzed by SPSS version 25. The mean age of participants was 30.32± 12.28. Out of 100 participants maximum were female 55.0 (55%) and male were 45.0 (45%). In this study the correlation of every movement was taken separately flexion r=0.65, extension r=0.68, ulnar deviation r=0.68 and radial deviation was r=0.80 whereas, p-value of all the movement was 0.00 which is considered significant. Conclusion: The Smartphone goniometric application was found to be a reliable and valid measurement method for active wrist range of motion in this investigation

References:

Hamilton GF, Lachenbruch PAJPT. Reliability of goniometers in assessing finger joint angle. 1969;49(5):465-9

Pratt AL, Ball CJBmd. What are we measuring? A critique of range of motion methods currently in use for Dupuytren’s disease and recommendations for practice. 2016;17:1-11.

Clarkson HM. Musculoskeletal assessment: joint range of motion and manual muscle strength: Lippincott Williams & Wilkins; 2000.

Magee D. Orthopedic physical assessment: Elsevier health sciences. 2013.

Kumar SJBie. Selected theories of musculoskeletal injury causation. 1999:3-24.

Erhart S, Lutz M, Arora R, Schmoelz WJMe, physics. Measurement of intraarticular wrist joint biomechanics with a force controlled system. 2012;34(7):900-5.

Horger MMJTAjoot. The reliability of goniometric measurements of active and passive wrist motions. 1990;44(4):342-8.

Norkin CC, White DJ. Measurement of joint motion: a guide to goniometry: FA Davis; 2016.

Soucie J, Wang C, Forsyth A, Funk S, Denny M, Roach K, et al. Range of motion measurements: reference values and a database for comparison studies. 2011;17(3):500-7.

Goodwin J, Clark C, Deakes J, Burdon D, Lawrence CJD, rehabilitation. Clinical methods of goniometry: a comparative study. 1992;14(1):10-5.

Grohmann JELJPt. Comparison of two methods of goniometry. 1983;63(6):922-5.

Carter TI, Pansy B, Wolff AL, Hillstrom HJ, Backus SI, Lenhoff M, et al. Accuracy and reliability of three different techniques for manual goniometry for wrist motion: a cadaveric study. 2009;34(8):1422-8.

LaStayo PC, Wheeler DLJPT. Reliability of passive wrist flexion and extension goniometric measurements: a multicenter study. 1994;74(2):162-74.

Lee JCJIJoI, Broadcasting, Communication. A study on the reliability and validity of measuring the range of motion of the elbow joint using a smartphone application. 2018;10(3):65-72.

Shin SH, Lee O-S, Oh JH, Kim SHJMt. Within-day reliability of shoulder range of motion measurement with a smartphone. 2012;17(4):298-304.

Gerhardt JJ, Rondinelli RDJPm, America rcoN. Goniometric techniques for range-of-motion assessment. 2001;12(3):507-28.

Wagner ER, Conti Mica M, Shin AYJJoHS. Smartphone photography utilized to measure wrist range of motion. 2018;43(2):187-92.

Longoni L, Brunati R, Sale P, Casale R, Ronconi G, Ferriero GJIJoRR. Smartphone applications validated for joint angle measurement: a systematic review. 2019;42(1):11-9.

Milanese S, Gordon S, Buettner P, Flavell C, Ruston S, Coe D, et al. Reliability and concurrent validity of knee angle measurement: smart phone app versus universal goniometer used by experienced and novice clinicians. 2014;19(6):569-74.

Luck SJ, Stewart AX, Simmons AM, Rhemtulla MJP. Standardized measurement error: A universal metric of data quality for averaged event‐related potentials. 2021;58(6):e13793.

Dunnigan K, editor Confidence interval calculation for binomial proportions. MWSUG Conference, Indianapolis, IN; 2008.

Doğan NÖJTjoem. Bland-Altman analysis: A paradigm to understand correlation and agreement. 2018;18(4):139-41.

Chicco D, Jurman GJBg. The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation. 2020;21:1-13.

Amjad F, Mohseni-Bandpei MA, Gilani SA, Ahmad A, Hanif AJBMD. Effects of non-surgical decompression therapy in addition to routine physical therapy on pain, range of motion, endurance, functional disability and quality of life versus routine physical therapy alone in patients with lumbar radiculopathy; a randomized controlled trial. 2022;23(1):255.

Jones A, Sealey R, Crowe M, Gordon SJPt, practice. Concurrent validity and reliability of the Simple Goniometer iPhone app compared with the Universal Goniometer. 2014;30(7):512-6.

Johnson LB, Sumner S, Duong T, Yan P, Bajcsy R, Abresch RT, et al. Validity and reliability of smartphone magnetometer-based goniometer evaluation of shoulder abduction–A pilot study. 2015;20(6):777-82.

Javaid F, Amjad F, Arslan SA, Hashim A, Javaid S, Irfan KJPBJ. Correlation Between Mobility Restriction, Body Image Perception and Prosthesis Satisfaction Among Lower Limb Amputee Prosthesis Users: Lower Limb Amputee Prosthesis Users. 2022:63-7.

Otter SJ, Agalliu B, Baer N, Hales G, Harvey K, James K, et al. The reliability of a smartphone goniometer application compared with a traditional goniometer for measuring first metatarsophalangeal joint dorsiflexion. 2015;8(1):1-7.

Keogh JW, Cox A, Anderson S, Liew B, Olsen A, Schram B, et al. Reliability and validity of clinically accessible smartphone applications to measure joint range of motion: A systematic review. 2019;14(5):e0215806.

Arooj A, Amjad F, Tanveer F, Arslan AU, Ahmad A, Gilani SAJBMD. Translation, cross-cultural adaptation and psychometric properties of Urdu version of upper limb functional index; a validity and reliability study. 2022;23(1):691.

Yaqoob A, Rashid I, Yaqoob FJEoP, Journal R. Reliability Of Digital Goniometer for The Measurement of Acetabulofemoral Joints Range of Motion: Acetabulofemoral Joints Range of Motion. 2022;1(01):22-6.

Costa V, Ramírez Ó, Otero A, Muñoz-García D, Uribarri S, Raya RJP. Validity and reliability of inertial sensors for elbow and wrist range of motion assessment. 2020;8:e9687.

Pourahmadi MR, Ebrahimi Takamjani I, Sarrafzadeh J, Bahramian M, Mohseni‐Bandpei MA, Rajabzadeh F, et al. Reliability and concurrent validity of a new iP hone® goniometric application for measuring active wrist range of motion: a cross‐sectional study in asymptomatic subjects. 2017;230(3):484-95.

Amjad F, Mohseni-Bandpei M, Gilani SA, Arooj AJJPMAe. Reliability of modified-modified Schober’s test for the assessment of lumbar range of motion. 2022.

Milani P, Coccetta CA, Rabini A, Sciarra T, Massazza G, Ferriero GJP. Mobile smartphone applications for body position measurement in rehabilitation: a review of goniometric tools. 2014;6(11):1038-43.