Submitted:
13 April 2026
Posted:
14 April 2026
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
3. Results
3.1. China
3.2. India
4. Discussion
- (i)
- States Implementing NHS-UNHS Programs
- (ii)
- Proportion of Newborns Screened
- (iii)
- Screening Protocols and OAE Technologies
- (iv)
- Prevalence of Congenital and Bilateral HL
- (v)
- Causes Leading to HL and Intervention Strategies
Limitations of the Study
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| AABR | Automated Auditory Brainstem Response |
| ABR | Auditory Brainstem Response |
| ASSR | Auditory Steady State Response |
| BD | bilateral deafness |
| CHL | Conductive Hearing Loss |
| CI | Cochlear Implant |
| DPOAE | Distortion Product OAE |
| EDHI | Early Hearing Detection and Intervention |
| ENT | Ear Nose and Throat |
| HL | Hearing Loss |
| LBW | Low Birth Weight |
| LTF | Loss To Follow-up |
| MHL | Mixed Hearing Loss |
| NHS | Neonatal Hearing Screening |
| NICU | neonatal intensive care unit |
| OAE | Otoacoustic Emissions |
| PTA | Pure Tone Average |
| SNHL | Sensorineural Hearing Loss |
| TEOAE | Transient Evoked OAE |
| UNHS | Universal Neonatal Hearing Screening |
Appendix A
| ID |
Country | Population | Studies selected | Region |
|---|---|---|---|---|
| 1 | China | 1,416,096,094 | East Asia | |
| 2 | India | 1,463,865,525 | - | South Asia |
| Selected | 2 | 2,879,961,619 | 16 | 1S; 1E |
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| n | Country | Region/city or Town | Sample Size | Study Period | First Author |
Year |
|---|---|---|---|---|---|---|
| 1 | China | Multicenter | 14,913 | 2009–2010 | Wang | 2011 |
| 2 | China | Multicenter (8 provinces) | NR | 2007–2009 | Huang | 2012 |
| 3 | China | Tianjin | 58,397 | 2010–2012 | Zhang | 2013 |
| 4 | China | Multicenter | Patients with NSHL NR | NR | Dai | 2015 |
| 5 | China | Southern China | 9,317 | 2013–2014 | Peng | 2016 |
| 6 | China | Weifang | 666 | 2018–2019 | Zhou | 2021 |
| 7 | China | Beijing | 1,839 | 2011–2019 | Li | 2023 |
| 8 | China | Hospital-based | 8,631 | 2017–2024 | Ren | 2025 |
| 9 | China | Liuzhou (Guangxi, rural vs urban) | | 19,098 | 2012-2014 | Wu | 2017 |
| 10 | China | Shanghai | 1,574,380 | 2002-2012 | Chen | 2017 |
| 11 | India | Vellore | 500 | 2006–2007 | John | 2009 |
| 12 | India | Chandigarh | 2,659 | 2005–2007 | Bansal | 2008 |
| 13 | India | Jabalpur | 2,254 | 2015–2016 | Sachdeva | 2017 |
| 14 | India | Ballabgarh | 1,720 | 2011–2014 | Dar | 2017 |
| 15 | India | Maval, Pune District (rural Maharashtra) | 8,192 | 2014–2016 | Parab | 2018 |
| 16 | India | Lucknow | 2,676 | 2018–2020 | Upadhyay | 2022 |
| 17 | India | Panchkula, Haryana (North) | 506 | 2021–2022 | Rawat | 2023 |
| 18 | India | Pune (tertiary care hospital) | 5,542 |
2008-2018 | Kapadia | 2011 |
| 19 | India | Odisha (policy/program setting) | NR | NR | Sahoo | 2024 |
| n | State | Region/city or Town | Screening Protocol (OAE/ABR) |
Hearing Loss prevalence |
Causes / risk factors | Author (First) |
Year |
|---|---|---|---|---|---|---|---|
| 1 | China | Multicenter | OAE + genetics | 1.9/1000 | Hereditary | Wang | 2011 |
| 2 | China | Multicenter | OAE vs OAE+AABR | 3.0/1000 | Model | Huang | 2012 |
| 3 | China | Tianjin | OAE + genetics | 2.3/1000 | Pathogenic variants in GJB2, SLC26A4, mtDNA | Zhang | 2013 |
| 4 | China | Multicenter | OAE + genetics | NR | GJB2 mutations; non-syndromic HL | Dai | 2015 |
| 5 | China | Southern China | OAE + genetics | 2.7/1000 | GJB2 and mitochondrial mutations | Peng | 2016 |
| 6 | China | Shandong | Automated OAE | NR | gestational diabetes mellitus (GDM) | Zhou | 2021 |
| 7 | China | Beijing | UNHS referral | NR | Referral outcomes | Li | 2023 |
| 8 | China | Hospital-based | OAE+metabolic | NR | Metabolic disorders (e.g., hyperbilirubinemia) | Ren | 2025 |
| 9 | China | Liuzhou (Guangxi) | DPOAE + AABR (two-step UNHS) | 2.25/1000 (PCHL); 0.33% total HL | Metabolic disorders (e.g., hyperbilirubinemia) | Wu | 2017 |
| 10 | China | Shanghai | OAE + AABR | 1.66/1000 | Large-scale program; integrated screening–intervention–rehabilitation system; high coverage (93.6%) | Chen | 2017 |
| 11 | India | Vellore | DPOAE (2-stage) + AABR confirm DPOAE+ABR | 6.0/1000 | NICU | John | 2009 |
| 12 | India | Chandigarh | TEOAE+ABR | NR | Timing | Bansal | 2008 |
| 13 | India | Jabalpur | DPOAE+ABR | 8.9/1000 | High-risk | Sachdeva | 2017 |
| 14 | India | Ballabgarh | DPOAE (2-stage) + ABR confirmation | 5.0/1000 | CMV | Dar | 2017 |
| 15 | India | Pune | OAE+ABR | 3.54/1000 | Low birth weight, hyperbilirubinemia, craniofacial anomalies | Parab | 2018 |
| 16 | India | Lucknow | OAE+ABR | 7.0/1000 | Repeat OAE reduced referrals; program implementation feasibility | Upadhyay | 2022 |
| 17 | India | Panchkula | OAE→ ABR | 8.2/1000 | Prematurity | Rawat | 2023 |
| 18 | India | Pune | OAE + ABR (two-step UNHS) | 5.41/1000 (overall); 9.11/1000 high-risk; 1.49/1000 well-baby | NICU stay, low birth weight, IUGR, RDS, hyperbilirubinemia; high loss to follow-up | Kapadia | 2022 |
| 19 | India | Odisha (policy/program setting), | Decision-tree model: OAE vs portable AABR | NR (economic model; not an observed population prevalence) | Resource constraints; device portability; at-risk prevalence cited from literature | Sahoo | 2024 |
| Domain | China | India |
|---|---|---|
| Implementation | Large-scale UNHS | Mostly hospital-based |
| Coverage | High (>85–95%) | Variable |
| Prevalence range | 1.9–3.0/1000 | 3–9/1000 |
| Protocols | OAE + AABR + genetics | OAE + ABR |
| Main limitation | Regional inequality | Follow-up & infrastructure |
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