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Smartphone threshold audiometry in underserved primary health-care contexts
Umeå University, Faculty of Medicine, Department of Clinical Sciences, Otorhinolaryngology. Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Family Medicine.
Umeå University, Faculty of Medicine, Department of Clinical Sciences, Otorhinolaryngology. Department of Speech-Language Pathology and Audiology, University of Pretoria, Pretoria, South Africa.
2016 (English)In: International Journal of Audiology, ISSN 1499-2027, E-ISSN 1708-8186, Vol. 55, no 4, 232-238 p.Article in journal (Refereed) Published
Abstract [en]

OBJECTIVE: To validate a calibrated smartphone-based hearing test in a sound booth environment and in primary health-care clinics.

DESIGN: A repeated-measure within-subject study design was employed whereby air-conduction hearing thresholds determined by smartphone-based audiometry was compared to conventional audiometry in a sound booth and a primary health-care clinic environment.

STUDY SAMPLE: A total of 94 subjects (mean age 41 years ± 17.6 SD and range 18-88; 64% female) were assessed of whom 64 were tested in the sound booth and 30 within primary health-care clinics without a booth.

RESULTS: In the sound booth 63.4% of conventional and smartphone thresholds indicated normal hearing (≤15 dBHL). Conventional thresholds exceeding 15 dB HL corresponded to smartphone thresholds within ≤10 dB in 80.6% of cases with an average threshold difference of -1.6 dB ± 9.9 SD. In primary health-care clinics 13.7% of conventional and smartphone thresholds indicated normal hearing (≤15 dBHL). Conventional thresholds exceeding 15 dBHL corresponded to smartphone thresholds within ≤10 dB in 92.9% of cases with an average threshold difference of -1.0 dB ± 7.1 SD.

CONCLUSIONS: Accurate air-conduction audiometry can be conducted in a sound booth and without a sound booth in an underserved community health-care clinic using a smartphone.

Place, publisher, year, edition, pages
2016. Vol. 55, no 4, 232-238 p.
Keyword [en]
mHealth, automated audiometer, Audiometry, smartphone, air conduction, ambient noise
National Category
Otorhinolaryngology Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:umu:diva-114789DOI: 10.3109/14992027.2015.1124294ISI: 000371744400005PubMedID: 26795898OAI: oai:DiVA.org:umu-114789DiVA: diva2:898397
Available from: 2016-01-28 Created: 2016-01-28 Last updated: 2016-05-16Bibliographically approved

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