Reliability and concurrent validity of a new iPhone® goniometric application for measuring active wrist range of motion: a cross‐sectional study in asymptomatic subjects
Measurement of wrist range of motion (ROM) is often considered to be an essential component of wrist physical examination. The measurement can be carried out through various instruments such as goniometers and inclinometers. Recent smartphones have been equipped with accelerometers and magnetometers...
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| Published in | Journal of anatomy Vol. 230; no. 3; pp. 484 - 495 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
Wiley Subscription Services, Inc
01.03.2017
John Wiley and Sons Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0021-8782 1469-7580 1469-7580 |
| DOI | 10.1111/joa.12568 |
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| Abstract | Measurement of wrist range of motion (ROM) is often considered to be an essential component of wrist physical examination. The measurement can be carried out through various instruments such as goniometers and inclinometers. Recent smartphones have been equipped with accelerometers and magnetometers, which, through specific software applications (apps) can be used for goniometric functions. This study, for the first time, aimed to evaluate the reliability and concurrent validity of a new smartphone goniometric app (Goniometer Pro©) for measuring active wrist ROM. In all, 120 wrists of 70 asymptomatic adults (38 men and 32 women; aged 18–40 years) were assessed in a physiotherapy clinic located at the School of Rehabilitation Sciences, Iran University of Medical Science and Health Services, Tehran, Iran. Following the recruitment process, active wrist ROM was measured using a universal goniometer and iPhone® 5 app. Two blinded examiners each utilized the universal goniometer and iPhone® to measure active wrist ROM using a volar/dorsal alignment technique in the following sequences: flexion, extension, radial deviation, and ulnar deviation. The second (2 h later) and third (48 h later) sessions were carried out in the same manner as the first session. All the measurements were conducted three times and the mean value of three repetitions for each measurement was used for analysis. Intraclass correlation coefficient (ICC) models (3, k) and (2, k) were used to determine the intra‐rater and inter‐rater reliability, respectively. The Pearson correlation coefficients were used to establish concurrent validity of the iPhone® app. Good to excellent intra‐rater and inter‐rater reliability was demonstrated for the goniometer with ICC values of ≥ 0.82 and ≥ 0.73 and the iPhone® app with ICC values of ≥ 0.83 and ≥ 0.79, respectively. Minimum detectable change at the 95% confidence level (MDC95) was computed as 1.96 × standard error of measurement × √2. The MDC95 ranged from 1.66° to 5.35° for the intra‐rater analysis and from 1.97° to 6.15° for the inter‐rater analysis. The concurrent validity between the two instruments was high, with r values of ≥ 0.80. From the results of this cross‐sectional study, it can be concluded that the iPhone® app possesses good to excellent intra‐rater and inter‐rater reliability and concurrent validity. It seems that this app can be used for the measurement of wrist ROM. However, further research is needed to evaluate symptomatic subjects using this app. |
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| AbstractList | Measurement of wrist range of motion (ROM) is often considered to be an essential component of wrist physical examination. The measurement can be carried out through various instruments such as goniometers and inclinometers. Recent smartphones have been equipped with accelerometers and magnetometers, which, through specific software applications (apps) can be used for goniometric functions. This study, for the first time, aimed to evaluate the reliability and concurrent validity of a new smartphone goniometric app (Goniometer Pro©) for measuring active wrist ROM. In all, 120 wrists of 70 asymptomatic adults (38 men and 32 women; aged 18-40 years) were assessed in a physiotherapy clinic located at the School of Rehabilitation Sciences, Iran University of Medical Science and Health Services, Tehran, Iran. Following the recruitment process, active wrist ROM was measured using a universal goniometer and iPhone
5 app. Two blinded examiners each utilized the universal goniometer and iPhone
to measure active wrist ROM using a volar/dorsal alignment technique in the following sequences: flexion, extension, radial deviation, and ulnar deviation. The second (2 h later) and third (48 h later) sessions were carried out in the same manner as the first session. All the measurements were conducted three times and the mean value of three repetitions for each measurement was used for analysis. Intraclass correlation coefficient (ICC) models (3, k) and (2, k) were used to determine the intra-rater and inter-rater reliability, respectively. The Pearson correlation coefficients were used to establish concurrent validity of the iPhone
app. Good to excellent intra-rater and inter-rater reliability was demonstrated for the goniometer with ICC values of ≥ 0.82 and ≥ 0.73 and the iPhone
app with ICC values of ≥ 0.83 and ≥ 0.79, respectively. Minimum detectable change at the 95% confidence level (MDC
) was computed as 1.96 × standard error of measurement × √2. The MDC
ranged from 1.66° to 5.35° for the intra-rater analysis and from 1.97° to 6.15° for the inter-rater analysis. The concurrent validity between the two instruments was high, with r values of ≥ 0.80. From the results of this cross-sectional study, it can be concluded that the iPhone
app possesses good to excellent intra-rater and inter-rater reliability and concurrent validity. It seems that this app can be used for the measurement of wrist ROM. However, further research is needed to evaluate symptomatic subjects using this app. Measurement of wrist range of motion (ROM) is often considered to be an essential component of wrist physical examination. The measurement can be carried out through various instruments such as goniometers and inclinometers. Recent smartphones have been equipped with accelerometers and magnetometers, which, through specific software applications (apps) can be used for goniometric functions. This study, for the first time, aimed to evaluate the reliability and concurrent validity of a new smartphone goniometric app (Goniometer Pro©) for measuring active wrist ROM. In all, 120 wrists of 70 asymptomatic adults (38 men and 32 women; aged 18-40 years) were assessed in a physiotherapy clinic located at the School of Rehabilitation Sciences, Iran University of Medical Science and Health Services, Tehran, Iran. Following the recruitment process, active wrist ROM was measured using a universal goniometer and iPhone 5 app. Two blinded examiners each utilized the universal goniometer and iPhone to measure active wrist ROM using a volar/dorsal alignment technique in the following sequences: flexion, extension, radial deviation, and ulnar deviation. The second (2 h later) and third (48 h later) sessions were carried out in the same manner as the first session. All the measurements were conducted three times and the mean value of three repetitions for each measurement was used for analysis. Intraclass correlation coefficient (ICC) models (3, k) and (2, k) were used to determine the intra-rater and inter-rater reliability, respectively. The Pearson correlation coefficients were used to establish concurrent validity of the iPhone app. Good to excellent intra-rater and inter-rater reliability was demonstrated for the goniometer with ICC values of ≥ 0.82 and ≥ 0.73 and the iPhone app with ICC values of ≥ 0.83 and ≥ 0.79, respectively. Minimum detectable change at the 95% confidence level (MDC95) was computed as 1.96 × standard error of measurement × [radical]2. The MDC95 ranged from 1.66° to 5.35° for the intra-rater analysis and from 1.97° to 6.15° for the inter-rater analysis. The concurrent validity between the two instruments was high, with r values of ≥ 0.80. From the results of this cross-sectional study, it can be concluded that the iPhone app possesses good to excellent intra-rater and inter-rater reliability and concurrent validity. It seems that this app can be used for the measurement of wrist ROM. However, further research is needed to evaluate symptomatic subjects using this app. Measurement of wrist range of motion (ROM) is often considered to be an essential component of wrist physical examination. The measurement can be carried out through various instruments such as goniometers and inclinometers. Recent smartphones have been equipped with accelerometers and magnetometers, which, through specific software applications (apps) can be used for goniometric functions. This study, for the first time, aimed to evaluate the reliability and concurrent validity of a new smartphone goniometric app (Goniometer Pro©) for measuring active wrist ROM. In all, 120 wrists of 70 asymptomatic adults (38 men and 32 women; aged 18-40 years) were assessed in a physiotherapy clinic located at the School of Rehabilitation Sciences, Iran University of Medical Science and Health Services, Tehran, Iran. Following the recruitment process, active wrist ROM was measured using a universal goniometer and iPhone® 5 app. Two blinded examiners each utilized the universal goniometer and iPhone® to measure active wrist ROM using a volar/dorsal alignment technique in the following sequences: flexion, extension, radial deviation, and ulnar deviation. The second (2 h later) and third (48 h later) sessions were carried out in the same manner as the first session. All the measurements were conducted three times and the mean value of three repetitions for each measurement was used for analysis. Intraclass correlation coefficient (ICC) models (3, k) and (2, k) were used to determine the intra-rater and inter-rater reliability, respectively. The Pearson correlation coefficients were used to establish concurrent validity of the iPhone® app. Good to excellent intra-rater and inter-rater reliability was demonstrated for the goniometer with ICC values of ≥ 0.82 and ≥ 0.73 and the iPhone® app with ICC values of ≥ 0.83 and ≥ 0.79, respectively. Minimum detectable change at the 95% confidence level (MDC95 ) was computed as 1.96 × standard error of measurement × √2. The MDC95 ranged from 1.66° to 5.35° for the intra-rater analysis and from 1.97° to 6.15° for the inter-rater analysis. The concurrent validity between the two instruments was high, with r values of ≥ 0.80. From the results of this cross-sectional study, it can be concluded that the iPhone® app possesses good to excellent intra-rater and inter-rater reliability and concurrent validity. It seems that this app can be used for the measurement of wrist ROM. However, further research is needed to evaluate symptomatic subjects using this app.Measurement of wrist range of motion (ROM) is often considered to be an essential component of wrist physical examination. The measurement can be carried out through various instruments such as goniometers and inclinometers. Recent smartphones have been equipped with accelerometers and magnetometers, which, through specific software applications (apps) can be used for goniometric functions. This study, for the first time, aimed to evaluate the reliability and concurrent validity of a new smartphone goniometric app (Goniometer Pro©) for measuring active wrist ROM. In all, 120 wrists of 70 asymptomatic adults (38 men and 32 women; aged 18-40 years) were assessed in a physiotherapy clinic located at the School of Rehabilitation Sciences, Iran University of Medical Science and Health Services, Tehran, Iran. Following the recruitment process, active wrist ROM was measured using a universal goniometer and iPhone® 5 app. Two blinded examiners each utilized the universal goniometer and iPhone® to measure active wrist ROM using a volar/dorsal alignment technique in the following sequences: flexion, extension, radial deviation, and ulnar deviation. The second (2 h later) and third (48 h later) sessions were carried out in the same manner as the first session. All the measurements were conducted three times and the mean value of three repetitions for each measurement was used for analysis. Intraclass correlation coefficient (ICC) models (3, k) and (2, k) were used to determine the intra-rater and inter-rater reliability, respectively. The Pearson correlation coefficients were used to establish concurrent validity of the iPhone® app. Good to excellent intra-rater and inter-rater reliability was demonstrated for the goniometer with ICC values of ≥ 0.82 and ≥ 0.73 and the iPhone® app with ICC values of ≥ 0.83 and ≥ 0.79, respectively. Minimum detectable change at the 95% confidence level (MDC95 ) was computed as 1.96 × standard error of measurement × √2. The MDC95 ranged from 1.66° to 5.35° for the intra-rater analysis and from 1.97° to 6.15° for the inter-rater analysis. The concurrent validity between the two instruments was high, with r values of ≥ 0.80. From the results of this cross-sectional study, it can be concluded that the iPhone® app possesses good to excellent intra-rater and inter-rater reliability and concurrent validity. It seems that this app can be used for the measurement of wrist ROM. However, further research is needed to evaluate symptomatic subjects using this app. Measurement of wrist range of motion ( ROM ) is often considered to be an essential component of wrist physical examination. The measurement can be carried out through various instruments such as goniometers and inclinometers. Recent smartphones have been equipped with accelerometers and magnetometers, which, through specific software applications (apps) can be used for goniometric functions. This study, for the first time, aimed to evaluate the reliability and concurrent validity of a new smartphone goniometric app (Goniometer Pro©) for measuring active wrist ROM . In all, 120 wrists of 70 asymptomatic adults (38 men and 32 women; aged 18–40 years) were assessed in a physiotherapy clinic located at the School of Rehabilitation Sciences, Iran University of Medical Science and Health Services, Tehran, Iran. Following the recruitment process, active wrist ROM was measured using a universal goniometer and iP hone ® 5 app. Two blinded examiners each utilized the universal goniometer and iP hone ® to measure active wrist ROM using a volar/dorsal alignment technique in the following sequences: flexion, extension, radial deviation, and ulnar deviation. The second (2 h later) and third (48 h later) sessions were carried out in the same manner as the first session. All the measurements were conducted three times and the mean value of three repetitions for each measurement was used for analysis. Intraclass correlation coefficient ( ICC ) models (3, k) and (2, k) were used to determine the intra‐rater and inter‐rater reliability, respectively. The Pearson correlation coefficients were used to establish concurrent validity of the iP hone ® app. Good to excellent intra‐rater and inter‐rater reliability was demonstrated for the goniometer with ICC values of ≥ 0.82 and ≥ 0.73 and the iP hone ® app with ICC values of ≥ 0.83 and ≥ 0.79, respectively. Minimum detectable change at the 95% confidence level ( MDC 95 ) was computed as 1.96 × standard error of measurement × √2. The MDC 95 ranged from 1.66° to 5.35° for the intra‐rater analysis and from 1.97° to 6.15° for the inter‐rater analysis. The concurrent validity between the two instruments was high, with r values of ≥ 0.80. From the results of this cross‐sectional study, it can be concluded that the iP hone ® app possesses good to excellent intra‐rater and inter‐rater reliability and concurrent validity. It seems that this app can be used for the measurement of wrist ROM . However, further research is needed to evaluate symptomatic subjects using this app. Measurement of wrist range of motion (ROM) is often considered to be an essential component of wrist physical examination. The measurement can be carried out through various instruments such as goniometers and inclinometers. Recent smartphones have been equipped with accelerometers and magnetometers, which, through specific software applications (apps) can be used for goniometric functions. This study, for the first time, aimed to evaluate the reliability and concurrent validity of a new smartphone goniometric app (Goniometer Pro©) for measuring active wrist ROM. In all, 120 wrists of 70 asymptomatic adults (38 men and 32 women; aged 18–40 years) were assessed in a physiotherapy clinic located at the School of Rehabilitation Sciences, Iran University of Medical Science and Health Services, Tehran, Iran. Following the recruitment process, active wrist ROM was measured using a universal goniometer and iPhone® 5 app. Two blinded examiners each utilized the universal goniometer and iPhone® to measure active wrist ROM using a volar/dorsal alignment technique in the following sequences: flexion, extension, radial deviation, and ulnar deviation. The second (2 h later) and third (48 h later) sessions were carried out in the same manner as the first session. All the measurements were conducted three times and the mean value of three repetitions for each measurement was used for analysis. Intraclass correlation coefficient (ICC) models (3, k) and (2, k) were used to determine the intra‐rater and inter‐rater reliability, respectively. The Pearson correlation coefficients were used to establish concurrent validity of the iPhone® app. Good to excellent intra‐rater and inter‐rater reliability was demonstrated for the goniometer with ICC values of ≥ 0.82 and ≥ 0.73 and the iPhone® app with ICC values of ≥ 0.83 and ≥ 0.79, respectively. Minimum detectable change at the 95% confidence level (MDC95) was computed as 1.96 × standard error of measurement × √2. The MDC95 ranged from 1.66° to 5.35° for the intra‐rater analysis and from 1.97° to 6.15° for the inter‐rater analysis. The concurrent validity between the two instruments was high, with r values of ≥ 0.80. From the results of this cross‐sectional study, it can be concluded that the iPhone® app possesses good to excellent intra‐rater and inter‐rater reliability and concurrent validity. It seems that this app can be used for the measurement of wrist ROM. However, further research is needed to evaluate symptomatic subjects using this app. |
| Author | Pourahmadi, Mohammad Reza Ebrahimi Takamjani, Ismail Taghipour, Morteza Mohseni‐Bandpei, Mohammad Ali Bahramian, Mehrdad Rajabzadeh, Fatemeh Sarrafzadeh, Javad |
| AuthorAffiliation | 2 Paediatric Neurorehabilitation Research Center University of Social Welfare and Rehabilitation Sciences Tehran Iran 3 Faculty of Allied Health Sciences University Institute of Physical Therapy University of Lahore Lahore Pakistan 4 Department of Physiotherapy University of Social Welfare and Rehabilitation Sciences Tehran Iran 5 Student Research Committee University of Social Welfare and Rehabilitation Sciences Tehran Iran 1 Department of Physiotherapy School of Rehabilitation Sciences Iran University of Medical Sciences and Health Services Tehran Iran |
| AuthorAffiliation_xml | – name: 1 Department of Physiotherapy School of Rehabilitation Sciences Iran University of Medical Sciences and Health Services Tehran Iran – name: 4 Department of Physiotherapy University of Social Welfare and Rehabilitation Sciences Tehran Iran – name: 2 Paediatric Neurorehabilitation Research Center University of Social Welfare and Rehabilitation Sciences Tehran Iran – name: 5 Student Research Committee University of Social Welfare and Rehabilitation Sciences Tehran Iran – name: 3 Faculty of Allied Health Sciences University Institute of Physical Therapy University of Lahore Lahore Pakistan |
| Author_xml | – sequence: 1 givenname: Mohammad Reza surname: Pourahmadi fullname: Pourahmadi, Mohammad Reza organization: Iran University of Medical Sciences and Health Services – sequence: 2 givenname: Ismail surname: Ebrahimi Takamjani fullname: Ebrahimi Takamjani, Ismail organization: Iran University of Medical Sciences and Health Services – sequence: 3 givenname: Javad surname: Sarrafzadeh fullname: Sarrafzadeh, Javad organization: Iran University of Medical Sciences and Health Services – sequence: 4 givenname: Mehrdad surname: Bahramian fullname: Bahramian, Mehrdad organization: Iran University of Medical Sciences and Health Services – sequence: 5 givenname: Mohammad Ali surname: Mohseni‐Bandpei fullname: Mohseni‐Bandpei, Mohammad Ali organization: University of Lahore – sequence: 6 givenname: Fatemeh surname: Rajabzadeh fullname: Rajabzadeh, Fatemeh organization: University of Social Welfare and Rehabilitation Sciences – sequence: 7 givenname: Morteza surname: Taghipour fullname: Taghipour, Morteza email: taghipour-morteza@hotmail.com organization: University of Social Welfare and Rehabilitation Sciences |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27910103$$D View this record in MEDLINE/PubMed |
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| Snippet | Measurement of wrist range of motion (ROM) is often considered to be an essential component of wrist physical examination. The measurement can be carried out... Measurement of wrist range of motion ( ROM ) is often considered to be an essential component of wrist physical examination. The measurement can be carried out... |
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| SubjectTerms | Accelerometry - instrumentation Adolescent Adult arthrometry, articular Cell Phone Cross-Sectional Studies Female Humans Iran Male Methods Mobile Applications Original range of motion, articular Range of Motion, Articular - physiology Reproducibility of Results smartphone Smartphones Validation studies Validity Wrist wrist joint Wrist Joint - physiology Young Adult |
| Title | Reliability and concurrent validity of a new iPhone® goniometric application for measuring active wrist range of motion: a cross‐sectional study in asymptomatic subjects |
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