Abstract
Background
This study concerns deaf children under six years in the South African HI HOPES Cohort.
Objective
To examine their audiological profile, aetiological risk factors for infant hearing loss as well as the relationship between identification, amplification and socio-economic influences.
Design
Using a cohort design, secondary data analysis of a pre-existing dataset demonstrated adequate representation of South African demographic characteristics.
Study sample
A total of 532 deaf and hard-of-hearing infants enrolled in the HI HOPES early intervention programme in three provinces (2006–2011).
Results
The median age of identification of children with bilateral hearing loss (n = 502) was 24.0 months (IQR = 12–36 months). Infants with aetiological risk factors were identified later than those without risk factors, and the latest age of identification (28.5 months) was for those with three aetiological risk factors (n = 42). The median age of amplification was 32 months with 102 children eligible for amplification at 31.1 months still unamplified. Early identification did not imply early amplification, and the more economically advantaged a Province the smaller the gap between ages of identification and amplification.
Conclusions
In a field with little population-level evidence, the size, and representativeness of this dataset makes a significant contribution to our understanding of infant hearing loss in South Africa.
Disclosure statement
Young, Moodley and Ismail report no conflicts of interest. During the time these data were collected Störbeck was the Founder and Director of the HI HOPES Early Intervention Programme, but she has never received any income from any role she has played within the organisation.
Declaration of authorship
Storbeck, the PI of the research programme, jointly conceived of the article, contributed to and oversaw the data analysis, the drafting of the article and approved the final version. Young jointly conceived of the article, led the first and final drafts and oversaw the data analysis. Moodley contributed to the data analysis and approved the final version. Ismail contributed to the data analysis and approved the final version.