Feedback-based noise management matrix in action.

ABSTRACT: BACKGROUND:This article presents the details and findings of a practical implementation of a preliminary model for use in hearing conservation programmes (HCPs) in the mining sector in South Africa. OBJECTIVES:The implementation is based on a previously published model, called feedback-based noise monitoring model (FBNMM), and represents its implementation as a tool of predicting occupational noise-induced hearing loss (ONIHL), as well as monitoring and managing HCPs in the mining sector within the South African context. METHOD:The article, utilising real miners' data, demonstrates this basic static feedback model with its practical applications such as estimating, monitoring and providing quantitative information to aid miners, mining administrators and policymakers in decision-making around HCPs, as recommended in the previous 2019 publication by Moroe et al. This study was conducted in a South African platinum mine. Evidence on the model's sensitivity and practicability in early identification, intervention and management of ONIHL in the workplace is presented. RESULTS:Findings show how the use of the model within an HCP viewed as a complex intervention can allow for early prediction of ONIHL, consequently affording more accurate early intervention as part of preventive audiology within the health and safety goals of mines. CONCLUSION:The feedback-based model should be a useful tool for successful implementation and monitoring of HCPs within South African mines.

SUBMITTER: Moroe NF 

PROVIDER: S-EPMC7203224 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature