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SYSTEMATIC REVIEW article
Front. Public Health
Sec. Children and Health
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1566478
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Newborn Screening for hearing impairment (NHS) is a crucial public health issue worldwide. Often, a two-stage screening with two different testing approaches is used. We aimed to investigate the optimal screening algorithm, based on data from the literature published in the last 30 years. A particular focus of the study was to synthesize the existing evidence on two-stage newborn hearing screening regarding the refer rate (RFR), the percentage of children that did not pass the second test or were lost after the first test. We searched MEDLINE and Scopus for studies on two-stage NHS using transient evoked otoacoustic emissions (TEOAE) or automated auditory brainstem response (AABR). All studies on newborns who received their first test as an inpatient and a second test up to one month later were eligible. Random effects meta-analysis was performed to estimate RFR. Risk of bias was assessed using QUADAS-II. The unfunded study was registered in PROSPERO (CRD42023403091). Eightyfive study protocols, including over 1,120,000 newborns, met the inclusion criteria. Certainty in the evidence was rated as moderate. Strategies that did not involve changes to the screening method had a lower RFR. (AABR-AABR: RFR = 1.3% (95% confidence interval (CI): 0.9, 1.8%), TEOAE-TEOAE: RFR = 2.7% (CI: 2.2, 3.2%), TEOAE-AABR: RFR = 3.9% (CI: 2.9, 5.1%), AABR-TEOAE: 5.9% (CI: 5.0, 6.9%). Consequently, where feasible, changing the screening method at the second screening should be avoided in order to minimize the number of follow-up examinations.
Keywords: Hearing screening, Newborn, Meta-analysis, Referral rate, Transient evoked otoacoustic emissions, Automated auditory brainstem response
Received: 24 Jan 2025; Accepted: 31 Mar 2025.
Copyright: © 2025 Manz, Nennstiel, Marzi, Mansmann and Brockow. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Kirsi Manz, Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, Ludwig Maximilian University of Munich, Munich, 80539, Bavaria, Germany
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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