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Reliability of Smartphone Applications for the Quantification of Oxygen Saturation

Background Smartphone technology is rapidly evolving and advancing, with many of them offering health applications being used for oximetry purposes, including the Samsung Health/S Health application. Measuring oxygen saturation is one of the important indications to monitor patients with COVID-19, a...

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Autores principales: Khattak, Almas F, Kakakhel, Susan S, Wazir, Noman K, Khattak, Madiha, Khattak, Tania, Akbar, Faryal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654113/
https://www.ncbi.nlm.nih.gov/pubmed/34926012
http://dx.doi.org/10.7759/cureus.19417
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author Khattak, Almas F
Kakakhel, Susan S
Wazir, Noman K
Khattak, Madiha
Khattak, Tania
Akbar, Faryal
author_facet Khattak, Almas F
Kakakhel, Susan S
Wazir, Noman K
Khattak, Madiha
Khattak, Tania
Akbar, Faryal
author_sort Khattak, Almas F
collection PubMed
description Background Smartphone technology is rapidly evolving and advancing, with many of them offering health applications being used for oximetry purposes, including the Samsung Health/S Health application. Measuring oxygen saturation is one of the important indications to monitor patients with COVID-19, as well as other health conditions. These applications can be used for measuring oxygen saturation to provide a convenient solution for clinical decisions. Methods Oxygen saturation measurements were collected using the Samsung Health application for Samsung Galaxy smartphone with a sensor and camera flash and a low-cost portable digital display (liquid crystal display (LCD)) finger pulse oximeter. Intra-session reliability was established to determine the consistency between the measures. Intra-class correlation coefficients (ICCs) were calculated with 95% confidence intervals (CIs) reported for both methods. The Bland-Altman plot was used to compare the level of agreement between the two measurement methods. Results There was a statistically significant average difference between pulse oximeter and Samsung Health application measurements (t(125) = 4.407, p < 0.001), and on average, pulse oximeter measurement was 0.510 points higher than Samsung Health application measurement (95% CI = 0.281-0.740). The pulse oximeter and Samsung Health application scores were moderately correlated (r = 0.462). The results of the intra-session reliability test produced an acceptable ICC value of 0.557, indicating moderate reliability and consistent results for the measurement of oxygen saturation with both methods. The Bland-Altman plot showed a consistently equal distribution of data points scattered above and below zero. Conclusion Smartphone health applications can be used with moderate reliability to measure oxygen saturation.
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spelling pubmed-86541132021-12-17 Reliability of Smartphone Applications for the Quantification of Oxygen Saturation Khattak, Almas F Kakakhel, Susan S Wazir, Noman K Khattak, Madiha Khattak, Tania Akbar, Faryal Cureus Healthcare Technology Background Smartphone technology is rapidly evolving and advancing, with many of them offering health applications being used for oximetry purposes, including the Samsung Health/S Health application. Measuring oxygen saturation is one of the important indications to monitor patients with COVID-19, as well as other health conditions. These applications can be used for measuring oxygen saturation to provide a convenient solution for clinical decisions. Methods Oxygen saturation measurements were collected using the Samsung Health application for Samsung Galaxy smartphone with a sensor and camera flash and a low-cost portable digital display (liquid crystal display (LCD)) finger pulse oximeter. Intra-session reliability was established to determine the consistency between the measures. Intra-class correlation coefficients (ICCs) were calculated with 95% confidence intervals (CIs) reported for both methods. The Bland-Altman plot was used to compare the level of agreement between the two measurement methods. Results There was a statistically significant average difference between pulse oximeter and Samsung Health application measurements (t(125) = 4.407, p < 0.001), and on average, pulse oximeter measurement was 0.510 points higher than Samsung Health application measurement (95% CI = 0.281-0.740). The pulse oximeter and Samsung Health application scores were moderately correlated (r = 0.462). The results of the intra-session reliability test produced an acceptable ICC value of 0.557, indicating moderate reliability and consistent results for the measurement of oxygen saturation with both methods. The Bland-Altman plot showed a consistently equal distribution of data points scattered above and below zero. Conclusion Smartphone health applications can be used with moderate reliability to measure oxygen saturation. Cureus 2021-11-09 /pmc/articles/PMC8654113/ /pubmed/34926012 http://dx.doi.org/10.7759/cureus.19417 Text en Copyright © 2021, Khattak et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Healthcare Technology
Khattak, Almas F
Kakakhel, Susan S
Wazir, Noman K
Khattak, Madiha
Khattak, Tania
Akbar, Faryal
Reliability of Smartphone Applications for the Quantification of Oxygen Saturation
title Reliability of Smartphone Applications for the Quantification of Oxygen Saturation
title_full Reliability of Smartphone Applications for the Quantification of Oxygen Saturation
title_fullStr Reliability of Smartphone Applications for the Quantification of Oxygen Saturation
title_full_unstemmed Reliability of Smartphone Applications for the Quantification of Oxygen Saturation
title_short Reliability of Smartphone Applications for the Quantification of Oxygen Saturation
title_sort reliability of smartphone applications for the quantification of oxygen saturation
topic Healthcare Technology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654113/
https://www.ncbi.nlm.nih.gov/pubmed/34926012
http://dx.doi.org/10.7759/cureus.19417
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