Literature DB >> 31965808

Accuracy and Reliability of Smartphone Self-Test Audiometry in Community Clinics in Low Income Settings: A Comparative Study.

Josefin Sandström1, DeWet Swanepoel2, Claude Laurent2,3, Göran Umefjord1, Thorbjörn Lundberg1.   

Abstract

BACKGROUND: There is a lack of hearing health care globally, and tele-audiology and mobile technologies have been proposed as important strategies to reduce the shortfall.
OBJECTIVES: To investigate the accuracy and reliability of smartphone self-test audiometry in adults, in community clinics in low-income settings.
METHODS: A prospective, intra-individual, repeated measurements design was used. Sixty-three adult participants (mean age 52 years, range 20-88 years) were recruited from ENT and primary health care clinics in a low-income community in Tshwane, South Africa. Air conduction hearing thresholds for octave frequencies 0.5 to 8 kHz collected with the smartphone self-test in non-sound treated environments were compared to those obtained by reference audiometry.
RESULTS: The overall mean difference between threshold seeking methods (ie, smartphone thresholds subtracted from reference) was -2.2 dB HL (n = 467 thresholds, P = 0.00). Agreement was within 10 dB HL for 80.1% (n = 467 thresholds) of all threshold comparisons. Sensitivity for detection hearing loss >40 dB HL in one ear was 90.6% (n = 84 ears), and specificity 94.2% (n = 84 ears).
CONCLUSION: Smartphone self-test audiometry can provide accurate and reliable air conduction hearing thresholds for adults in community clinics in low-income settings.

Entities:  

Keywords:  audiometry; global health; hearing loss; mHealth; smartphone; telemedicine

Mesh:

Year:  2020        PMID: 31965808     DOI: 10.1177/0003489420902162

Source DB:  PubMed          Journal:  Ann Otol Rhinol Laryngol        ISSN: 0003-4894            Impact factor:   1.547


  7 in total

1.  Hearing Impairment in South Africa and the Lessons Learned for Planetary Health Genomics: A Systematic Review.

Authors:  Noluthando Manyisa; Samuel Mawuli Adadey; Edmond Wonkam-Tingang; Abdoulaye Yalcouye; Ambroise Wonkam
Journal:  OMICS       Date:  2022-01

2.  Software Application toward Accessible Hearing Care Assessment: Gap in Noise Test.

Authors:  Khalid Alhussaini; Shaza Saleh; Adham Aleid; Saad Alkhalaf; Reem Badghaish; Amir Altinawi; Abdullatif Alwasel
Journal:  J Healthc Eng       Date:  2022-04-29       Impact factor: 3.822

3.  Worldwide Prevalence of Hearing Loss Among Smartphone Users: Cross-Sectional Study Using a Mobile-Based App.

Authors:  Marcin Masalski; Krzysztof Morawski
Journal:  J Med Internet Res       Date:  2020-07-23       Impact factor: 5.428

Review 4.  Tele-Audiology: Current State and Future Directions.

Authors:  Kristen L D'Onofrio; Fan-Gang Zeng
Journal:  Front Digit Health       Date:  2022-01-10

Review 5.  Digital Approaches to Automated and Machine Learning Assessments of Hearing: Scoping Review.

Authors:  Jan-Willem Wasmann; Leontien Pragt; Robert Eikelboom; De Wet Swanepoel
Journal:  J Med Internet Res       Date:  2022-02-02       Impact factor: 5.428

6.  In pursuit of increasing the application of tele-audiology in South Africa: COVID-19 puts on the alert for patient site facilitator training.

Authors:  Katijah Khoza-Shangase
Journal:  S Afr J Commun Disord       Date:  2022-07-20

7.  Optimization of the Speech Test Material in a Group of Hearing Impaired Subjects: A Feasibility Study for Multilingual Digit Triplet Test Development.

Authors:  Marcin Masalski; Martyna Adamczyk; Krzysztof Morawski
Journal:  Audiol Res       Date:  2021-07-12
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.