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Measurement properties of smartphone applications for the measurement of neck range of motion: a systematic review and meta analyses
BACKGROUND: Smartphone applications offer an accessible and practical option to measure neck range of motion (ROM) and are becoming more commonly used in clinical practice. We assessed the validity, reliability, and responsiveness of smartphone applications (apps) to measure neck ROM in people with...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832814/ https://www.ncbi.nlm.nih.gov/pubmed/35144583 http://dx.doi.org/10.1186/s12891-022-05066-6 |
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author | Elgueta-Cancino, E. Rice, K. Abichandani, D. Falla, D. |
author_facet | Elgueta-Cancino, E. Rice, K. Abichandani, D. Falla, D. |
author_sort | Elgueta-Cancino, E. |
collection | PubMed |
description | BACKGROUND: Smartphone applications offer an accessible and practical option to measure neck range of motion (ROM) and are becoming more commonly used in clinical practice. We assessed the validity, reliability, and responsiveness of smartphone applications (apps) to measure neck ROM in people with and without neck pain. METHODS: A comprehensive electronic search strategy of the main electronic databases was conducted from inception until June 2021. The identified studies investigated apps which measured neck ROM, and evaluated their validity, reliability, or responsiveness, in adult participants with neck pain or asymptomatic individuals. Two independent reviewers determined eligibility and risk of bias following COSMIN guidelines. The quality of evidence was assessed according to the GRADE approach. RESULTS: Eleven studies, with a total of 376 participants were included. Three types of apps were identified: clinometer apps, compass apps, and other apps of ‘adequate’ to ‘doubtful’ risk of bias. A meta-analysis revealed ‘good’ to ‘excellent’ intra-rater and inter-rater reliability across the three types of apps. The overall validity was rated from ‘moderate’ to ‘very high’ across all apps. The level of evidence was rated as ‘low’ to ‘very low’. CONCLUSION: Smartphone applications showed sufficient intra-rater reliability, inter-rater reliability, and validity to measure neck ROM in people with and without neck pain. However, the quality of evidence and the confidence in the findings are low. High-quality research with large sample sizes is needed to further provide evidence to support the measurement properties of smartphone applications for the assessment of neck ROM. STUDY REGISTRATION: Following indications of Prisma-P guidelines, this protocol was registered in PROSPERO on 1/05/2021 with the number CRD42021239501. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-022-05066-6. |
format | Online Article Text |
id | pubmed-8832814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88328142022-02-15 Measurement properties of smartphone applications for the measurement of neck range of motion: a systematic review and meta analyses Elgueta-Cancino, E. Rice, K. Abichandani, D. Falla, D. BMC Musculoskelet Disord Research BACKGROUND: Smartphone applications offer an accessible and practical option to measure neck range of motion (ROM) and are becoming more commonly used in clinical practice. We assessed the validity, reliability, and responsiveness of smartphone applications (apps) to measure neck ROM in people with and without neck pain. METHODS: A comprehensive electronic search strategy of the main electronic databases was conducted from inception until June 2021. The identified studies investigated apps which measured neck ROM, and evaluated their validity, reliability, or responsiveness, in adult participants with neck pain or asymptomatic individuals. Two independent reviewers determined eligibility and risk of bias following COSMIN guidelines. The quality of evidence was assessed according to the GRADE approach. RESULTS: Eleven studies, with a total of 376 participants were included. Three types of apps were identified: clinometer apps, compass apps, and other apps of ‘adequate’ to ‘doubtful’ risk of bias. A meta-analysis revealed ‘good’ to ‘excellent’ intra-rater and inter-rater reliability across the three types of apps. The overall validity was rated from ‘moderate’ to ‘very high’ across all apps. The level of evidence was rated as ‘low’ to ‘very low’. CONCLUSION: Smartphone applications showed sufficient intra-rater reliability, inter-rater reliability, and validity to measure neck ROM in people with and without neck pain. However, the quality of evidence and the confidence in the findings are low. High-quality research with large sample sizes is needed to further provide evidence to support the measurement properties of smartphone applications for the assessment of neck ROM. STUDY REGISTRATION: Following indications of Prisma-P guidelines, this protocol was registered in PROSPERO on 1/05/2021 with the number CRD42021239501. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12891-022-05066-6. BioMed Central 2022-02-10 /pmc/articles/PMC8832814/ /pubmed/35144583 http://dx.doi.org/10.1186/s12891-022-05066-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Elgueta-Cancino, E. Rice, K. Abichandani, D. Falla, D. Measurement properties of smartphone applications for the measurement of neck range of motion: a systematic review and meta analyses |
title | Measurement properties of smartphone applications for the measurement of neck range of motion: a systematic review and meta analyses |
title_full | Measurement properties of smartphone applications for the measurement of neck range of motion: a systematic review and meta analyses |
title_fullStr | Measurement properties of smartphone applications for the measurement of neck range of motion: a systematic review and meta analyses |
title_full_unstemmed | Measurement properties of smartphone applications for the measurement of neck range of motion: a systematic review and meta analyses |
title_short | Measurement properties of smartphone applications for the measurement of neck range of motion: a systematic review and meta analyses |
title_sort | measurement properties of smartphone applications for the measurement of neck range of motion: a systematic review and meta analyses |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832814/ https://www.ncbi.nlm.nih.gov/pubmed/35144583 http://dx.doi.org/10.1186/s12891-022-05066-6 |
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