BACKGROUND: Developing countries have the world's highest prevalence of hearing loss, and hearing screening programmes are scarce. Mobile devices such as smartphones have potential for audiometric testing. OBJECTIVES: To evaluate the uHear app using an Apple iPhone as a possible hearing screening tool in the developing world, and to determine accuracy of certain hearing thresholds that could prove useful in early detection of hearing loss for high-risk populations in resource-poor communities. METHODS: This was a quasi-experimental study design. Participants recruited from the Otolaryngology Clinic, Groote Schuur Hospital, Cape Town, South Africa, completed a uHear test in three settings--waiting room (WR), quiet roon (QR) and soundproof room (SR). Thresholds were compared with formal audiograms. RESULTS: Twenty-five patients were tested (50 ears). The uHear test detected moderate or worse hearing loss (pure-tone average (PTA) > 40 dB accurately with a sensitivity of 100% in all three environments. Specificity was 88% (SR), 73% (QR) and 68% (WR). Its was highly accurate in detecting high-frequency hearing loss (2 000, 4 000, 6 000 Hz) in the QR and SR with 'good' and 'very good' kappa values, showing statistical significance (p < 0.05). It was moderately accurate in low-frequency hearing loss (250, 500, 1 000 Hz) in the SR, and poor in the QR and WR. CONCLUSION: Using the iPhone, uHear is a feasible screening test to rule out significant hearing loss (PTA > 40 dB). It is highly sensitive for detecting threshold changes at high frequencies, making it reasonably well suited to detect presbycusis and ototoxic hearing loss from HIV, tuberculosis therapy and chemotherapy. Portability and ease of use make it appropriate to use in developing world communities that lack screening programmes.
BACKGROUND: Developing countries have the world's highest prevalence of hearing loss, and hearing screening programmes are scarce. Mobile devices such as smartphones have potential for audiometric testing. OBJECTIVES: To evaluate the uHear app using an Apple iPhone as a possible hearing screening tool in the developing world, and to determine accuracy of certain hearing thresholds that could prove useful in early detection of hearing loss for high-risk populations in resource-poor communities. METHODS: This was a quasi-experimental study design. Participants recruited from the Otolaryngology Clinic, Groote Schuur Hospital, Cape Town, South Africa, completed a uHear test in three settings--waiting room (WR), quiet roon (QR) and soundproof room (SR). Thresholds were compared with formal audiograms. RESULTS: Twenty-five patients were tested (50 ears). The uHear test detected moderate or worse hearing loss (pure-tone average (PTA) > 40 dB accurately with a sensitivity of 100% in all three environments. Specificity was 88% (SR), 73% (QR) and 68% (WR). Its was highly accurate in detecting high-frequency hearing loss (2 000, 4 000, 6 000 Hz) in the QR and SR with 'good' and 'very good' kappa values, showing statistical significance (p < 0.05). It was moderately accurate in low-frequency hearing loss (250, 500, 1 000 Hz) in the SR, and poor in the QR and WR. CONCLUSION: Using the iPhone, uHear is a feasible screening test to rule out significant hearing loss (PTA > 40 dB). It is highly sensitive for detecting threshold changes at high frequencies, making it reasonably well suited to detect presbycusis and ototoxic hearing loss from HIV, tuberculosis therapy and chemotherapy. Portability and ease of use make it appropriate to use in developing world communities that lack screening programmes.
Authors: Hyejeong Hong; David W Dowdy; Kelly E Dooley; Howard W Francis; Chakra Budhathoki; Hae-Ra Han; Jason E Farley Journal: Am J Audiol Date: 2020-04-22 Impact factor: 1.493
Authors: Riddhi Doshi; Dennis Falzon; Bruce V Thomas; Zelalem Temesgen; Lal Sadasivan; Giovanni Battista Migliori; Mario Raviglione Journal: ERJ Open Res Date: 2017-06-21
Authors: Dennis Falzon; Hazim Timimi; Pascal Kurosinski; Giovanni Battista Migliori; Wayne Van Gemert; Claudia Denkinger; Chris Isaacs; Alistair Story; Richard S Garfein; Luis Gustavo do Valle Bastos; Mohammed A Yassin; Valiantsin Rusovich; Alena Skrahina; Le Van Hoi; Tobias Broger; Ibrahim Abubakar; Andrew Hayward; Bruce V Thomas; Zelalem Temesgen; Subhi Quraishi; Dalene von Delft; Ernesto Jaramillo; Karin Weyer; Mario C Raviglione Journal: Eur Respir J Date: 2016-05-26 Impact factor: 16.671