Lestari, Dewi Indah (2025) Occupational Noise Induced Hearing Loss. Other. Fakultas Kedokteran Universitas Tarumanagara, Jakarta.
|
Text
520260000223 Occupational noise induced hearing loss - dr. Dewi Indah penelitian.pdf Download (505kB) |
Abstract
This literature review examines Occupational Noise-Induced Hearing Loss (ONIHL) as a leading cause of acquired hearing impairment worldwide, particularly among workers in manufacturing, mining, and construction. Early detection is critical for effective intervention and prevention, yet conventional screening methods such as pure tone audiometry are resource-intensive, require specialized personnel, and are often inaccessible in low-resource or remote settings.
In Indonesia, approximately 16.8% of the population experiences hearing loss, resulting in reduced quality of life, social isolation, and economic productivity. Digital innovations, including web-based and mobile hearing screening applications, provide scalable, cost-effective, and accessible alternatives. These tools employ methodologies such as speech-in-noise tests, mobile audiometry, and machine learning-based risk prediction to overcome limitations of traditional approaches.
International occupational health frameworks (ILO, NIOSH) emphasize comprehensive hearing conservation programs, with periodic surveillance as a cornerstone of prevention. Web-based screening tools such as Screen H exemplify promising modalities for preliminary hearing assessment in occupational contexts.
| Item Type: | Monograph (Other) |
|---|---|
| Uncontrolled Keywords: | Noise-induced hearing loss--Diagnosis and prevention ; Occupational noise--Health effects ; Audiometry--Digital methods ; Occupational health--Hearing conservation programs ; Digital health technology--Hearing screening |
| Subjects: | Lainnya |
| Divisions: | Fakultas Kedokteran > Kedokteran |
| Depositing User: | FK Perpus |
| Date Deposited: | 24 Sep 2026 06:16 |
| Last Modified: | 24 Sep 2026 06:16 |
| URI: | https://repository.untar.ac.id/id/eprint/50738 |
Actions (login required)
![]() |
View Item |
