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Clinimetric properties of a smartphone application to measure the craniovertebral angle in different age groups and positions
BACKGROUND: Craniovertebral angle (CVA) alteration is a causative factor for the neck, shoulder, and temporomandibular joints disorders. Therefore, as an outcome measure for therapeutic intervention, measuring the craniovertebral angle with the Surgimap smartphone app is a cost-effective, easily acc...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558335/ https://www.ncbi.nlm.nih.gov/pubmed/37810069 http://dx.doi.org/10.1016/j.heliyon.2023.e19336 |
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author | Aafreen Khan, Ashfaque Ahmad, Ausaf Khan, Abdur Raheem Maurya, Neeraj Alameer, Mohammed M. Hakamy, Ahmad H. Hakami, Mohammed A. Alshehre, Yousef M. Aljahni, Mohammed Balasubramanian, Karthick Alshehri, Mohammed M. Shaphe, Mohammad Abu |
author_facet | Aafreen Khan, Ashfaque Ahmad, Ausaf Khan, Abdur Raheem Maurya, Neeraj Alameer, Mohammed M. Hakamy, Ahmad H. Hakami, Mohammed A. Alshehre, Yousef M. Aljahni, Mohammed Balasubramanian, Karthick Alshehri, Mohammed M. Shaphe, Mohammad Abu |
author_sort | Aafreen |
collection | PubMed |
description | BACKGROUND: Craniovertebral angle (CVA) alteration is a causative factor for the neck, shoulder, and temporomandibular joints disorders. Therefore, as an outcome measure for therapeutic intervention, measuring the craniovertebral angle with the Surgimap smartphone app is a cost-effective, easily accessible, and reliable tool. This study's objective was to assess the clinimetric properties of the Surgimap smartphone application with Surgimap system software to measure the Craniovertebral Angle in different age groups and positions. METHOD: Ninety subjects with neck pain were randomly allocated to aged between 18 and 30 years (Group A; n = 45) and 45–60 years (Group B; n = 45). Using the Surgimap smartphone application and Surgimap system software, the craniovertebral angle was measured objectively in the sagittal plane. Intraclass correlation coefficients were used to determine validity and reliability. Receiver operating characteristic (ROC) curves and the area under the curves (AUC) were determined to distinguish participants with and without forward head posture. RESULT: The result of this study shows that Smartphone Surgimap Application and Surgimap System Software correlate 0.95 and have p-values of 0.01 for diverse positions and ages. CVA measurement in the sitting position was significantly lower than in the standing position, regardless of methodology or age. Both positions demonstrated high intra-rater reliability, as evidenced by Intraclass Correlation Coefficients (ICC) between 0.972 and 0.991. The minimum detectable change (MDC) values ranged from 1.3 to 1.733, indicating high measurement accuracy. The smartphone application demonstrated outstanding diagnostic sensitivity (100.00% for Group A standing) and specificity (93.55% for Group B standing). CONCLUSION: The Surgimap smartphone application is a reliable and accurate method for craniovertebral angle measurement and is useful for measuring outcomes. Also standing posture was found to be better than sitting posture while measuring the CVA. |
format | Online Article Text |
id | pubmed-10558335 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105583352023-10-08 Clinimetric properties of a smartphone application to measure the craniovertebral angle in different age groups and positions Aafreen Khan, Ashfaque Ahmad, Ausaf Khan, Abdur Raheem Maurya, Neeraj Alameer, Mohammed M. Hakamy, Ahmad H. Hakami, Mohammed A. Alshehre, Yousef M. Aljahni, Mohammed Balasubramanian, Karthick Alshehri, Mohammed M. Shaphe, Mohammad Abu Heliyon Research Article BACKGROUND: Craniovertebral angle (CVA) alteration is a causative factor for the neck, shoulder, and temporomandibular joints disorders. Therefore, as an outcome measure for therapeutic intervention, measuring the craniovertebral angle with the Surgimap smartphone app is a cost-effective, easily accessible, and reliable tool. This study's objective was to assess the clinimetric properties of the Surgimap smartphone application with Surgimap system software to measure the Craniovertebral Angle in different age groups and positions. METHOD: Ninety subjects with neck pain were randomly allocated to aged between 18 and 30 years (Group A; n = 45) and 45–60 years (Group B; n = 45). Using the Surgimap smartphone application and Surgimap system software, the craniovertebral angle was measured objectively in the sagittal plane. Intraclass correlation coefficients were used to determine validity and reliability. Receiver operating characteristic (ROC) curves and the area under the curves (AUC) were determined to distinguish participants with and without forward head posture. RESULT: The result of this study shows that Smartphone Surgimap Application and Surgimap System Software correlate 0.95 and have p-values of 0.01 for diverse positions and ages. CVA measurement in the sitting position was significantly lower than in the standing position, regardless of methodology or age. Both positions demonstrated high intra-rater reliability, as evidenced by Intraclass Correlation Coefficients (ICC) between 0.972 and 0.991. The minimum detectable change (MDC) values ranged from 1.3 to 1.733, indicating high measurement accuracy. The smartphone application demonstrated outstanding diagnostic sensitivity (100.00% for Group A standing) and specificity (93.55% for Group B standing). CONCLUSION: The Surgimap smartphone application is a reliable and accurate method for craniovertebral angle measurement and is useful for measuring outcomes. Also standing posture was found to be better than sitting posture while measuring the CVA. Elsevier 2023-09-01 /pmc/articles/PMC10558335/ /pubmed/37810069 http://dx.doi.org/10.1016/j.heliyon.2023.e19336 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Aafreen Khan, Ashfaque Ahmad, Ausaf Khan, Abdur Raheem Maurya, Neeraj Alameer, Mohammed M. Hakamy, Ahmad H. Hakami, Mohammed A. Alshehre, Yousef M. Aljahni, Mohammed Balasubramanian, Karthick Alshehri, Mohammed M. Shaphe, Mohammad Abu Clinimetric properties of a smartphone application to measure the craniovertebral angle in different age groups and positions |
title | Clinimetric properties of a smartphone application to measure the craniovertebral angle in different age groups and positions |
title_full | Clinimetric properties of a smartphone application to measure the craniovertebral angle in different age groups and positions |
title_fullStr | Clinimetric properties of a smartphone application to measure the craniovertebral angle in different age groups and positions |
title_full_unstemmed | Clinimetric properties of a smartphone application to measure the craniovertebral angle in different age groups and positions |
title_short | Clinimetric properties of a smartphone application to measure the craniovertebral angle in different age groups and positions |
title_sort | clinimetric properties of a smartphone application to measure the craniovertebral angle in different age groups and positions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558335/ https://www.ncbi.nlm.nih.gov/pubmed/37810069 http://dx.doi.org/10.1016/j.heliyon.2023.e19336 |
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