The Reliability and Validity of the Digital Goniometer and Smart Phone to Determine Trunk Active Range of Motion in Stroke Patients
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Background: Trunk movements are an important factor in activities of daily living; however, these movements can be impaired by stroke. It is difficult to quantify and measure the active range of motion (AROM) of the trunk in patients with stroke. Objects: To determine the reliability and validity of measurements using a digital goniometer (DG) and smart phone (SP) applications for trunk rotation and lateral flexion in stroke patients. Methods: This is an observational study, in which twenty participants were clinically diagnosed with stroke. Trunk rotation and lateral flexion AROM were assessed using the DG and SP applications (Compass and Clinometer). Intrarater reliability was determined using intraclass correlation coefficients (ICCs) with 95% confidence intervals. Pearson correlation coefficient was used to determine the validity of the DG and SP in AROM measurement. The level of agreement between the two instruments was shown by Bland–Altman plot and 95% limit of agreement (LoA) was calculated. Results: The intrarater reliability (rotation with DG: 0.96–0.98, SP: 0.98; lateral flexion with DG: 0.97–0.98, SP: 0.96) was excellent. A strong and significant correlation was found between DG and SP (rotation hemiplegic side: r = 0.95; non-hemiplegic side: r = 0.90; lateral flexion hemiplegic side: r = 0.88; non-hemiplegic side: r = 0.78). The level of agreement between the two instruments was rotation (hemiplegic side: 23.02° [LoA 17.41°, –5.61°]; non-hemiplegic side: 31.68° [LoA 23.87°, –7.81°]) and lateral flexion (hemiplegic side: 20.94° [LoA 17.48°, –3.46°]; non-hemiplegic side: 27.12° [LoA 18.44°, –8.68°]). Conclusion: Both DG and SP applications can be used as reliable methods for measuring trunk rotation and lateral flexion in patients with stroke. Although, considering the level of clinical agreement, DG and SP could not be used interchangeably for measurements.
Abstract
Background: Trunk movements are an important factor in activities of daily living; however, these movements can be impaired by stroke. It is difficult to quantify and measure the active range of motion (AROM) of the trunk in patients with stroke. Objects: To determine the reliability and validity of measurements using a digital goniometer (DG) and smart phone (SP) applications for trunk rotation and lateral flexion in stroke patients. Methods: This is an observational study, in which twenty participants were clinically diagnosed with stroke. Trunk rotation and lateral flexion AROM were assessed using the DG and SP applications (Compass and Clinometer). Intrarater reliability was determined using intraclass correlation coefficients (ICCs) with 95% confidence intervals. Pearson correlation coefficient was used to determine the validity of the DG and SP in AROM measurement. The level of agreement between the two instruments was shown by Bland–Altman plot and 95% limit of agreement (LoA) was calculated. Results: The intrarater reliability (rotation with DG: 0.96–0.98, SP: 0.98; lateral flexion with DG: 0.97–0.98, SP: 0.96) was excellent. A strong and significant correlation was found between DG and SP (rotation hemiplegic side: r = 0.95; non-hemiplegic side: r = 0.90; lateral flexion hemiplegic side: r = 0.88; non-hemiplegic side: r = 0.78). The level of agreement between the two instruments was rotation (hemiplegic side: 23.02° [LoA 17.41°, –5.61°]; non-hemiplegic side: 31.68° [LoA 23.87°, –7.81°]) and lateral flexion (hemiplegic side: 20.94° [LoA 17.48°, –3.46°]; non-hemiplegic side: 27.12° [LoA 18.44°, –8.68°]). Conclusion: Both DG and SP applications can be used as reliable methods for measuring trunk rotation and lateral flexion in patients with stroke. Although, considering the level of clinical agreement, DG and SP could not be used interchangeably for measurements.
참고문헌 (47)
- Meijer R, "A systematic review of the literature", Clin Rehabil, 17(2), pp.119~129 (2003)
- Karthikbabu S, "A review on assessment and treatment of the trunk in stroke : a need or luxury", Neural Regen Res, 7(25), pp.1974~1977 (2012)
- Duarte E, "Trunk control test as a functional predictor in stroke patients", J Rehabil Med, 34(6), pp.267~272 (2002)
- Hsieh CL, "Trunk control as an early predictor of comprehensive activities of daily living function in stroke patients", Stroke, 33(11), pp.2626~2630 (2002)
- Verheyden G, "Trunk performance after stroke : an eye catching predictor of functional outcome", J Neurol Neurosurg Psychiatry, 78(7), pp.694~698 (2007)
- Verheyden G, "Discriminant ability of the Trunk Impairment Scale : a comparison between stroke patients and healthy individuals", Disabil Rehabil, 27(17), pp.1023~1028 (2005)
- Sunderland A, "Arm function after stroke. An evaluation of grip strength as a measure of recovery and a prognostic indicator", J Neurol Neurosurg Psychiatry, 52(11), pp.1267~1272 (1989)
- Ryerson S, "Altered trunk position sense and its relation to balance functions in people post-stroke", J Neurol Phys Ther, 32(1), pp.14~20 (2008)
- Langhorne P, "Motor recovery after stroke : a systematic review", Lancet Neurol, 8(8), pp.741~754 (2009)
- Buckler J, "Passive rotation range of motion and shoulder subluxation : a comparative study", N Am J Sports Phys Ther, 4(4), pp.182~189 (2009)
- Mullaney MJ, "Reliability of shoulder range of motion comparing a goniometer to a digital level", Physiother Theory Pract, 26(5), pp.327~333 (2010)
- Aldridge R, "The effects of a daily stretching protocol on passive glenohumeral internal rotation in overhead throwing collegiate athletes", Int J Sports Phys Ther, 7(4), pp.365~371 (2012)
- Wellmon RH, "Validity and reliability of 2 goniometric mobile apps: device, application, and examiner factors", J Sport Rehabil, 25(4), pp.371~379 (2016)
- Jayavel A, "Reliability and validity of I Handy android application on measurement of lumbar spine movement in patients with low back pain", IJOCS, 11(3), pp.84~88 (2017)
- Malmström EM, "Zebris versus Myrin: a comparative study between a threedimensional ultrasound movement analysis and an inclinometer", compass method: intradevice reliability, concurrent validity, intertester comparison, intratester reliability, and intraindividual variability, 2003, pp.28(21), 433~440
- Youdas JW, "Reliability of measurements of cervical spine range of motion--comparison of three methods", Phys Ther, 71(2), pp.98~104 (1991)
- Klein AB, "Comparison of spinal mobility and isometric trunk extensor forces with electromyographic spectral analysis in identifying low back pain", Phys Ther, 71(6), pp.445~454 (1991)
- Olson KA, "Intra and inter-rater reliability of a goniometric lower trunk rotation measurement", J Back Musculoskelet Rehabil, 22(3), pp.157~164 (2009)
- Furness J, "Reliability and concurrent validity of the iPhone® Compass application to measure thoracic rotation range of motion(ROM)in healthy participants", PeerJ, 6, pp.e4431~ (2018)
- Burdett RG, "Reliability and validity of four instruments for measuring lumbar spine and pelvic positions", Phys Ther, 66(5), pp.677~684 (1986)
- Gajdosik RL, "Clinical measurement of range of motion. Review of goniometry emphasizing reliability and validity", Phys Ther, 67(12), pp.1867~1872 (1987)
- Nitschke JE, "Reliability of the American Medical Association guides’ model for measuring spinal range of motion. Its implication for wholeperson impairment rating", Spine (Phila Pa 1976), 24(3), pp.262~268 (1999)
- Otter SJ, "The reliability of a smartphone goniometer application compared with a traditional goniometer for measuring first metatarsophalangeal joint dorsiflexion", J Foot Ankle Res, 8, pp.30~ (2015)
- Mourcou Q, "Performance evaluation of smartphone inertial sensors measurement for range of motion", Sensors(Basel), 15(9), pp.23168~23187 (2015)
- Tousignant-Laflamme Y, "Reliability and criterion validity of two applications of the iPhoneTM to measure cervical range of motion in healthy participants", J Neuroeng Rehabil, 10(1), pp.69~ (2013)
- Kolber MJ, "The reliability and concurrent validity of measurements used to quantify lumbar spine mobility : an analysis of an iphone®application and gravity based inclinometry", Int J Sports Phys Ther, 8(2), pp.129~137 (2013)
- Salamh PA, "The reliability, minimal detectable change and concurrent validity of a gravity-based bubble inclinometer and iphone application for measuring standing lumbar lordosis", Physiother Theory Pract, 30(1), pp.62~67 (2014)
- Iveson BD, "Reliability and exploration of the side-lying thoraco-lumbar rotation measurement(STRM)", N Am J Sports Phys Ther, 5(4), pp.201~207 (2010)
- Pourahmadi MR, "Reliability and validity of an iPhone® application for the measurement of lumbar spine flexion and extension range of motion", PeerJ, 4, pp.e2355~ (2016)
- Lexell JE, "How to assess the reliability of measurements in rehabilitation", Am J Phys Med Rehabil, 84(9), pp.719~723 (2005)
- Alhwoaimel N, "Concurrent validity of a novel wireless inertial measurement system for assessing trunk impairment in people with stroke", Sensors(Basel), 20(6), pp.1699~ (2020)
- Svensson M, "Measurement of knee joint range of motion with a digital goniometer : a reliability study", Physiother Res Int, 24(2), pp.e1765~ (2019)
- Johnson KD, "Thoracic rotation measurement techniques : clinical commentary", N Am J Sports Phys Ther, 5(4), pp.252~256 (2010)
- Lewis JS, "A study of the intra-rater reliability in subjects with and without shoulder pain", BMC Musculoskelet Disord, 11, pp.39~ (2010)
- Portney LG, "Foundations of clinical research: applications to practice", pp.594~595 (2009), Prentice Hall
- Wallwork TL, "Intrarater and interrater reliability of assessment of lumbar multifidus muscle thickness using rehabilitative ultrasound imaging", J Orthop Sports Phys Ther, 37(10), pp.608~612 (2007)
- Bland JM, "Statistical methods for assessing agreement between two methods of clinical measurement", Int J Nurs Stud, 47(8), pp.931~936 (2010)
- Neumann DA, "Kinesiology of the musculoskeletal system:foundations for rehabilitation", pp.346~347 (2010), Mosby
- Ukita A, "Influence of back support shape in wheelchairs offering pelvic support on asymmetrical sitting posture and pressure points during reaching tasks in stroke patients", PLoS One, 15(4), pp.e0231860~ (2020)
- Jeong YJ, "Can pulmonary function testing predict the functional outcomes of poststroke patients? : an observational study", Am J Phys Med Rehabil, 99(12), pp.1145~1149 (2020)
- Muscolino JE, "The muscular system manual: the skeletal muscles of the human body", pp.300~ (2016), Mosby
- Atkinson G, "Statistical methods for assessing measurement error(reliability)in variables relevant to sports medicine", Sports Med, 26(4), pp.217~238 (1998)
- 박일우, "뇌졸중 환자에서 스마트폰 어플리케이션을 이용한 능동적 머리목관절 가동범위 측정에 관한 측정자간 신뢰도 연구", 한국전문물리치료학회지, 26(1), pp.8~18 (2019), 한국전문물리치료학회[DOI]
- 이병권, "만성 뇌졸중 환자들의 Step Test의 상대적·절대적 신뢰도와 타당도", 대한통합의학회지, 5(1), pp.43~53 (2017), 대한통합의학회
- Lu WS, "The minimal detectable change of the simplified stroke rehabilitation assessment of movement measure", J Rehabil Med, 40(8), pp.615~619 (2008)
- Morvan G, "Standardized way for imaging of the sagittal spinal balance", Eur Spine J, 20(5), pp.602~ (2011)
- Legaye J, "Correction for patient sway in radiographic biplanar imaging for three-dimensional reconstruction of the spine : in vitro study of a new method", Acta Radiol, 50(7), pp.781~790 (2009)
