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Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment

BACKGROUND: Modern smartphones contain sophisticated high-end hardware features, offering high computational capabilities at extremely manageable costs and have undoubtedly become an integral part in users' daily life. Additionally, smartphones offer a well-established ecosystem that is easily...

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Autores principales: Mehdi, Muntazir, Stach, Michael, Riha, Constanze, Neff, Patrick, Dode, Albi, Pryss, Rüdiger, Schlee, Winfried, Reichert, Manfred, Hauck, Franz J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463412/
https://www.ncbi.nlm.nih.gov/pubmed/32808939
http://dx.doi.org/10.2196/21767
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author Mehdi, Muntazir
Stach, Michael
Riha, Constanze
Neff, Patrick
Dode, Albi
Pryss, Rüdiger
Schlee, Winfried
Reichert, Manfred
Hauck, Franz J
author_facet Mehdi, Muntazir
Stach, Michael
Riha, Constanze
Neff, Patrick
Dode, Albi
Pryss, Rüdiger
Schlee, Winfried
Reichert, Manfred
Hauck, Franz J
author_sort Mehdi, Muntazir
collection PubMed
description BACKGROUND: Modern smartphones contain sophisticated high-end hardware features, offering high computational capabilities at extremely manageable costs and have undoubtedly become an integral part in users' daily life. Additionally, smartphones offer a well-established ecosystem that is easily discoverable and accessible via the marketplaces of differing mobile platforms, thus encouraging the development of many smartphone apps. Such apps are not exclusively used for entertainment purposes but are also commonplace in health care and medical use. A variety of those health and medical apps exist within the context of tinnitus, a phantom sound perception in the absence of any physical external source. OBJECTIVE: In this paper, we shed light on existing smartphone apps addressing tinnitus by providing an up-to-date overview. METHODS: Based on PRISMA guidelines, we systematically searched and identified existing smartphone apps on the most prominent app markets, namely Google Play Store and Apple App Store. In addition, we applied the Mobile App Rating Scale (MARS) to evaluate and assess the apps in terms of their general quality and in-depth user experience. RESULTS: Our systematic search and screening of smartphone apps yielded a total of 34 apps (34 Android apps, 26 iOS apps). The mean MARS scores (out of 5) ranged between 2.65-4.60. The Tinnitus Peace smartphone app had the lowest score (mean 2.65, SD 0.20), and Sanvello—Stress and Anxiety Help had the highest MARS score (mean 4.60, SD 0.10). The interrater agreement was substantial (Fleiss κ=0.74), the internal consistency was excellent (Cronbach α=.95), and the interrater reliability was found to be both high and excellent—Guttman λ6=0.94 and intraclass correlation, ICC(2,k) 0.94 (95% CI 0.91-0.97), respectively. CONCLUSIONS: This work demonstrated that there exists a plethora of smartphone apps for tinnitus. All of the apps received MARS scores higher than 2, suggesting that they all have some technical functional value. However, nearly all identified apps were lacking in terms of scientific evidence, suggesting the need for stringent clinical validation of smartphone apps in future. To the best of our knowledge, this work is the first to systematically identify and evaluate smartphone apps within the context of tinnitus.
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spelling pubmed-74634122020-09-17 Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment Mehdi, Muntazir Stach, Michael Riha, Constanze Neff, Patrick Dode, Albi Pryss, Rüdiger Schlee, Winfried Reichert, Manfred Hauck, Franz J JMIR Mhealth Uhealth Original Paper BACKGROUND: Modern smartphones contain sophisticated high-end hardware features, offering high computational capabilities at extremely manageable costs and have undoubtedly become an integral part in users' daily life. Additionally, smartphones offer a well-established ecosystem that is easily discoverable and accessible via the marketplaces of differing mobile platforms, thus encouraging the development of many smartphone apps. Such apps are not exclusively used for entertainment purposes but are also commonplace in health care and medical use. A variety of those health and medical apps exist within the context of tinnitus, a phantom sound perception in the absence of any physical external source. OBJECTIVE: In this paper, we shed light on existing smartphone apps addressing tinnitus by providing an up-to-date overview. METHODS: Based on PRISMA guidelines, we systematically searched and identified existing smartphone apps on the most prominent app markets, namely Google Play Store and Apple App Store. In addition, we applied the Mobile App Rating Scale (MARS) to evaluate and assess the apps in terms of their general quality and in-depth user experience. RESULTS: Our systematic search and screening of smartphone apps yielded a total of 34 apps (34 Android apps, 26 iOS apps). The mean MARS scores (out of 5) ranged between 2.65-4.60. The Tinnitus Peace smartphone app had the lowest score (mean 2.65, SD 0.20), and Sanvello—Stress and Anxiety Help had the highest MARS score (mean 4.60, SD 0.10). The interrater agreement was substantial (Fleiss κ=0.74), the internal consistency was excellent (Cronbach α=.95), and the interrater reliability was found to be both high and excellent—Guttman λ6=0.94 and intraclass correlation, ICC(2,k) 0.94 (95% CI 0.91-0.97), respectively. CONCLUSIONS: This work demonstrated that there exists a plethora of smartphone apps for tinnitus. All of the apps received MARS scores higher than 2, suggesting that they all have some technical functional value. However, nearly all identified apps were lacking in terms of scientific evidence, suggesting the need for stringent clinical validation of smartphone apps in future. To the best of our knowledge, this work is the first to systematically identify and evaluate smartphone apps within the context of tinnitus. JMIR Publications 2020-08-18 /pmc/articles/PMC7463412/ /pubmed/32808939 http://dx.doi.org/10.2196/21767 Text en ©Muntazir Mehdi, Michael Stach, Constanze Riha, Patrick Neff, Albi Dode, Rüdiger Pryss, Winfried Schlee, Manfred Reichert, Franz J Hauck. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 18.08.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Mehdi, Muntazir
Stach, Michael
Riha, Constanze
Neff, Patrick
Dode, Albi
Pryss, Rüdiger
Schlee, Winfried
Reichert, Manfred
Hauck, Franz J
Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment
title Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment
title_full Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment
title_fullStr Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment
title_full_unstemmed Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment
title_short Smartphone and Mobile Health Apps for Tinnitus: Systematic Identification, Analysis, and Assessment
title_sort smartphone and mobile health apps for tinnitus: systematic identification, analysis, and assessment
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463412/
https://www.ncbi.nlm.nih.gov/pubmed/32808939
http://dx.doi.org/10.2196/21767
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