Christine Louw1, De Wet Swanepoel, Robert H Eikelboom, Hermanus C Myburgh. 1. 1Department of Speech-Language Pathology and Audiology, University of Pretoria, Pretoria, South Africa; 2Ear Science Institute Australia, Subiaco, Australia; 3Ear Sciences Centre, School of Surgery, The University of Western Australia, Nedlands, Australia; and 4Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South Africa.
Abstract
OBJECTIVE: To evaluate the performance of smartphone-based hearing screening with the hearScreen application in terms of sensitivity, specificity, referral rates, and time efficiency at two primary health care clinics. DESIGN: Nonprobability purposive sampling was used at both clinics. A total of 1236 participants (mean age: 37.8 ± SD 17.9 and range 3 to 97 years; 71.3% female) were included in the final analysis. Participants were screened using the hearScreen application following a two-step screening protocol and diagnostic pure-tone audiometry to confirm hearing status. RESULTS: Sensitivity and specificity for smartphone screening was 81.7 and 83.1%, respectively, with a positive and negative predictive value of 87.6 and 75.6%, respectively. Sex [χ(1, N = 126) = 0.304, p > 0.05] and race [χ(1, N = 126) = 0.169, p > 0.05)] had no significant effect on screening outcome for children while for adults age (p < 0.01; β = 0.04) and sex (p = 0.02; β = -0.53) had a significant effect on screening outcomes with males more likely to fail. Overall referral rate across clinics was 17.5%. Initial screening test times were less than a minute (48.8 seconds ± 20.8 SD) for adults and slightly more than a minute for children (73.9 seconds ± 44.5 SD). CONCLUSIONS: The hearScreen smartphone application provides time-efficient identification of hearing loss with adequate sensitivity and specificity for accurate testing at primary health care settings.
OBJECTIVE: To evaluate the performance of smartphone-based hearing screening with the hearScreen application in terms of sensitivity, specificity, referral rates, and time efficiency at two primary health care clinics. DESIGN: Nonprobability purposive sampling was used at both clinics. A total of 1236 participants (mean age: 37.8 ± SD 17.9 and range 3 to 97 years; 71.3% female) were included in the final analysis. Participants were screened using the hearScreen application following a two-step screening protocol and diagnostic pure-tone audiometry to confirm hearing status. RESULTS: Sensitivity and specificity for smartphone screening was 81.7 and 83.1%, respectively, with a positive and negative predictive value of 87.6 and 75.6%, respectively. Sex [χ(1, N = 126) = 0.304, p > 0.05] and race [χ(1, N = 126) = 0.169, p > 0.05)] had no significant effect on screening outcome for children while for adults age (p < 0.01; β = 0.04) and sex (p = 0.02; β = -0.53) had a significant effect on screening outcomes with males more likely to fail. Overall referral rate across clinics was 17.5%. Initial screening test times were less than a minute (48.8 seconds ± 20.8 SD) for adults and slightly more than a minute for children (73.9 seconds ± 44.5 SD). CONCLUSIONS: The hearScreen smartphone application provides time-efficient identification of hearing loss with adequate sensitivity and specificity for accurate testing at primary health care settings.
Authors: Francis M Banda; Kathleen M Powis; Agnes B Mokoka; Moalosi Mmapetla; Katherine D Westmoreland; Thuso David; Andrew P Steenhoff Journal: Glob Pediatr Health Date: 2018-04-20