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Diagnostic Accuracy of Smartphone-Based Audiometry for Hearing Loss Detection: Meta-analysis

BACKGROUND: Hearing loss is one of the most common disabilities worldwide and affects both individual and public health. Pure tone audiometry (PTA) is the gold standard for hearing assessment, but it is often not available in many settings, given its high cost and demand for human resources. Smartph...

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Autores principales: Chen, Chih-Hao, Lin, Heng-Yu Haley, Wang, Mao-Che, Chu, Yuan-Chia, Chang, Chun-Yu, Huang, Chii-Yuan, Cheng, Yen-Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477297/
https://www.ncbi.nlm.nih.gov/pubmed/34515644
http://dx.doi.org/10.2196/28378
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author Chen, Chih-Hao
Lin, Heng-Yu Haley
Wang, Mao-Che
Chu, Yuan-Chia
Chang, Chun-Yu
Huang, Chii-Yuan
Cheng, Yen-Fu
author_facet Chen, Chih-Hao
Lin, Heng-Yu Haley
Wang, Mao-Che
Chu, Yuan-Chia
Chang, Chun-Yu
Huang, Chii-Yuan
Cheng, Yen-Fu
author_sort Chen, Chih-Hao
collection PubMed
description BACKGROUND: Hearing loss is one of the most common disabilities worldwide and affects both individual and public health. Pure tone audiometry (PTA) is the gold standard for hearing assessment, but it is often not available in many settings, given its high cost and demand for human resources. Smartphone-based audiometry may be equally effective and can improve access to adequate hearing evaluations. OBJECTIVE: The aim of this systematic review is to synthesize the current evidence of the role of smartphone-based audiometry in hearing assessments and further explore the factors that influence its diagnostic accuracy. METHODS: Five databases—PubMed, Embase, Cochrane Library, Web of Science, and Scopus—were queried to identify original studies that examined the diagnostic accuracy of hearing loss measurement using smartphone-based devices with conventional PTA as a reference test. A bivariate random-effects meta-analysis was performed to estimate the pooled sensitivity and specificity. The factors associated with diagnostic accuracy were identified using a bivariate meta-regression model. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. RESULTS: In all, 25 studies with a total of 4470 patients were included in the meta-analysis. The overall sensitivity, specificity, and area under the receiver operating characteristic curve for smartphone-based audiometry were 89% (95% CI 83%-93%), 93% (95% CI 87%-97%), and 0.96 (95% CI 0.93-0.97), respectively; the corresponding values for the smartphone-based speech recognition test were 91% (95% CI 86%-94%), 88% (95% CI 75%-94%), and 0.93 (95% CI 0.90-0.95), respectively. Meta-regression analysis revealed that patient age, equipment used, and the presence of soundproof booths were significantly related to diagnostic accuracy. CONCLUSIONS: We have presented comprehensive evidence regarding the effectiveness of smartphone-based tests in diagnosing hearing loss. Smartphone-based audiometry may serve as an accurate and accessible approach to hearing evaluations, especially in settings where conventional PTA is unavailable.
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spelling pubmed-84772972021-10-18 Diagnostic Accuracy of Smartphone-Based Audiometry for Hearing Loss Detection: Meta-analysis Chen, Chih-Hao Lin, Heng-Yu Haley Wang, Mao-Che Chu, Yuan-Chia Chang, Chun-Yu Huang, Chii-Yuan Cheng, Yen-Fu JMIR Mhealth Uhealth Original Paper BACKGROUND: Hearing loss is one of the most common disabilities worldwide and affects both individual and public health. Pure tone audiometry (PTA) is the gold standard for hearing assessment, but it is often not available in many settings, given its high cost and demand for human resources. Smartphone-based audiometry may be equally effective and can improve access to adequate hearing evaluations. OBJECTIVE: The aim of this systematic review is to synthesize the current evidence of the role of smartphone-based audiometry in hearing assessments and further explore the factors that influence its diagnostic accuracy. METHODS: Five databases—PubMed, Embase, Cochrane Library, Web of Science, and Scopus—were queried to identify original studies that examined the diagnostic accuracy of hearing loss measurement using smartphone-based devices with conventional PTA as a reference test. A bivariate random-effects meta-analysis was performed to estimate the pooled sensitivity and specificity. The factors associated with diagnostic accuracy were identified using a bivariate meta-regression model. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. RESULTS: In all, 25 studies with a total of 4470 patients were included in the meta-analysis. The overall sensitivity, specificity, and area under the receiver operating characteristic curve for smartphone-based audiometry were 89% (95% CI 83%-93%), 93% (95% CI 87%-97%), and 0.96 (95% CI 0.93-0.97), respectively; the corresponding values for the smartphone-based speech recognition test were 91% (95% CI 86%-94%), 88% (95% CI 75%-94%), and 0.93 (95% CI 0.90-0.95), respectively. Meta-regression analysis revealed that patient age, equipment used, and the presence of soundproof booths were significantly related to diagnostic accuracy. CONCLUSIONS: We have presented comprehensive evidence regarding the effectiveness of smartphone-based tests in diagnosing hearing loss. Smartphone-based audiometry may serve as an accurate and accessible approach to hearing evaluations, especially in settings where conventional PTA is unavailable. JMIR Publications 2021-09-10 /pmc/articles/PMC8477297/ /pubmed/34515644 http://dx.doi.org/10.2196/28378 Text en ©Chih-Hao Chen, Heng-Yu Haley Lin, Mao-Che Wang, Yuan-Chia Chu, Chun-Yu Chang, Chii-Yuan Huang, Yen-Fu Cheng. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 12.09.2021. 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 https://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Chen, Chih-Hao
Lin, Heng-Yu Haley
Wang, Mao-Che
Chu, Yuan-Chia
Chang, Chun-Yu
Huang, Chii-Yuan
Cheng, Yen-Fu
Diagnostic Accuracy of Smartphone-Based Audiometry for Hearing Loss Detection: Meta-analysis
title Diagnostic Accuracy of Smartphone-Based Audiometry for Hearing Loss Detection: Meta-analysis
title_full Diagnostic Accuracy of Smartphone-Based Audiometry for Hearing Loss Detection: Meta-analysis
title_fullStr Diagnostic Accuracy of Smartphone-Based Audiometry for Hearing Loss Detection: Meta-analysis
title_full_unstemmed Diagnostic Accuracy of Smartphone-Based Audiometry for Hearing Loss Detection: Meta-analysis
title_short Diagnostic Accuracy of Smartphone-Based Audiometry for Hearing Loss Detection: Meta-analysis
title_sort diagnostic accuracy of smartphone-based audiometry for hearing loss detection: meta-analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477297/
https://www.ncbi.nlm.nih.gov/pubmed/34515644
http://dx.doi.org/10.2196/28378
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