Community-based hearing screening for young children using an mHealth service-delivery model
Background: Hearing loss is one of the most common developmental disorders identifiable at birth with its prevalence increasing throughout school years. However, early detection programs are mostly unavailable in low- and middle-income countries (LMICs) where more than 80% of children with hearing l...
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doaj-241ebc7e15f143cf8ad358639e1861762020-11-25T01:48:06ZengTaylor & Francis GroupGlobal Health Action1654-97161654-98802018-01-0111110.1080/16549716.2018.14670771467077Community-based hearing screening for young children using an mHealth service-delivery modelShouneez Yousuf Hussein0De Wet Swanepoel1Faheema Mahomed2Leigh Biagio de Jager3University of PretoriaUniversity of PretoriaUniversity of PretoriaUniversity of PretoriaBackground: Hearing loss is one of the most common developmental disorders identifiable at birth with its prevalence increasing throughout school years. However, early detection programs are mostly unavailable in low- and middle-income countries (LMICs) where more than 80% of children with hearing loss reside. Objective: This study investigated the feasibility of a smartphone-based hearing screening program for preschool children operated by community healthcare workers (CHWs) in community-based early childhood development (ECD) centers. Method: Five CHWs were trained to map ECD centers and conduct smartphone-based hearing screenings within a poor community in South Africa over a 12-month period. The hearScreenTM smartphone application employed automated test protocols operating on low-cost smartphones. A cloud-based data management and referral function allowed for remote monitoring for surveillance and follow up. Results: 6424 children (3–6 years) were screened for hearing loss with an overall referral rate of 24.9%. Only 39.4% of these children attended their follow-up appointment at a local clinic, of whom 40.5% referred on their second screening. Logistic regression analysis indicated that age, gender and environmental noise levels (1 kHz) had a significant effect on referral rates (p < 0.05). The quality index reflecting test operator test quality increased during the first few months of testing. Conclusion: Smartphone-based hearing screening can be used by CHWs to detect unidentified children affected by hearing loss within ECD centers. Active noise monitoring, quality indices of test operators and cloud-based data management and referral features of the hearScreenTM application allows for the asynchronous management of hearing screenings and follow-ups.http://dx.doi.org/10.1080/16549716.2018.1467077Smartphonehearing screeningearly childhood developmentmobile healthcommunity healthcare workers |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shouneez Yousuf Hussein De Wet Swanepoel Faheema Mahomed Leigh Biagio de Jager |
spellingShingle |
Shouneez Yousuf Hussein De Wet Swanepoel Faheema Mahomed Leigh Biagio de Jager Community-based hearing screening for young children using an mHealth service-delivery model Global Health Action Smartphone hearing screening early childhood development mobile health community healthcare workers |
author_facet |
Shouneez Yousuf Hussein De Wet Swanepoel Faheema Mahomed Leigh Biagio de Jager |
author_sort |
Shouneez Yousuf Hussein |
title |
Community-based hearing screening for young children using an mHealth service-delivery model |
title_short |
Community-based hearing screening for young children using an mHealth service-delivery model |
title_full |
Community-based hearing screening for young children using an mHealth service-delivery model |
title_fullStr |
Community-based hearing screening for young children using an mHealth service-delivery model |
title_full_unstemmed |
Community-based hearing screening for young children using an mHealth service-delivery model |
title_sort |
community-based hearing screening for young children using an mhealth service-delivery model |
publisher |
Taylor & Francis Group |
series |
Global Health Action |
issn |
1654-9716 1654-9880 |
publishDate |
2018-01-01 |
description |
Background: Hearing loss is one of the most common developmental disorders identifiable at birth with its prevalence increasing throughout school years. However, early detection programs are mostly unavailable in low- and middle-income countries (LMICs) where more than 80% of children with hearing loss reside. Objective: This study investigated the feasibility of a smartphone-based hearing screening program for preschool children operated by community healthcare workers (CHWs) in community-based early childhood development (ECD) centers. Method: Five CHWs were trained to map ECD centers and conduct smartphone-based hearing screenings within a poor community in South Africa over a 12-month period. The hearScreenTM smartphone application employed automated test protocols operating on low-cost smartphones. A cloud-based data management and referral function allowed for remote monitoring for surveillance and follow up. Results: 6424 children (3–6 years) were screened for hearing loss with an overall referral rate of 24.9%. Only 39.4% of these children attended their follow-up appointment at a local clinic, of whom 40.5% referred on their second screening. Logistic regression analysis indicated that age, gender and environmental noise levels (1 kHz) had a significant effect on referral rates (p < 0.05). The quality index reflecting test operator test quality increased during the first few months of testing. Conclusion: Smartphone-based hearing screening can be used by CHWs to detect unidentified children affected by hearing loss within ECD centers. Active noise monitoring, quality indices of test operators and cloud-based data management and referral features of the hearScreenTM application allows for the asynchronous management of hearing screenings and follow-ups. |
topic |
Smartphone hearing screening early childhood development mobile health community healthcare workers |
url |
http://dx.doi.org/10.1080/16549716.2018.1467077 |
work_keys_str_mv |
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