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Smartphone threshold audiometry in underserved primary health-care contexts
Umeå universitet, Medicinska fakulteten, Institutionen för klinisk vetenskap, Öron- näs- och halssjukdomar. Umeå universitet, Medicinska fakulteten, Institutionen för folkhälsa och klinisk medicin, Allmänmedicin.
Umeå universitet, Medicinska fakulteten, Institutionen för klinisk vetenskap, Öron- näs- och halssjukdomar. Department of Speech-Language Pathology and Audiology, University of Pretoria, Pretoria, South Africa.
2016 (engelsk)Inngår i: International Journal of Audiology, ISSN 1499-2027, E-ISSN 1708-8186, Vol. 55, nr 4, s. 232-238Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
2016. Vol. 55, nr 4, s. 232-238
Emneord [en]
mHealth, automated audiometer, Audiometry, smartphone, air conduction, ambient noise
HSV kategori
Identifikatorer
URN: urn:nbn:se:umu:diva-114789DOI: 10.3109/14992027.2015.1124294ISI: 000371744400005PubMedID: 26795898Scopus ID: 2-s2.0-84959105041OAI: oai:DiVA.org:umu-114789DiVA, id: diva2:898397
Tilgjengelig fra: 2016-01-28 Laget: 2016-01-28 Sist oppdatert: 2025-02-20bibliografisk kontrollert

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