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Hearing Aids

Diagnostics and Medical Technology · NLM MeSH · updated 2026-11-04 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 4 min read

Wearable sound-amplifying devices that are intended to compensate for impaired hearing.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (793 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

Wearable sound-amplifying devices that are intended to compensate for impaired hearing. These generic devices include air-conduction hearing aids and bone-conduction hearing aids. (umdns, 1999)

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Aid, Hearing; Aids, Hearing; Hearing Aid; Ear Molds, Hearing Aid.

Where it fits in the MeSH classification

Broader topics
Wearable Electronic Devices; Sensory Aids
Narrower topics
Auditory Brain Stem Implants; Cochlear Implants

Related concepts

  • Umdns

Research landscape

PubMed indexes 24,911 records tagged with the MeSH heading “Hearing Aids” (counts retrieved 2026-11-04). 6,731 of them (27.0%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 8,009 records.

Reviews account for 2,058 records (8.3%) and meta-analyses for 152. Randomized controlled trials number 463 (1.9%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 6,151 records; 2000-2009: 4,020 records; 2010-2019: 8,009 records; 2020 onward: 6,731 records6,151through 19994,0202000-20098,0092010-20196,7312020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19996,151
2000-20094,020
2010-20198,009
2020 onward6,731
Share of records by publication typeReviews: 8.3 percent; Meta-analyses: 0.6 percent; Randomized controlled trials: 1.9 percentReviews8.3% (2,058)Meta-analyses0.6% (152)Randomized controlled trials1.9% (463)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 24,911 PubMed records
TypeRecordsShare
Reviews2,0588.3%
Meta-analyses1520.6%
Randomized controlled trials4631.9%

Method: PubMed query "Hearing Aids"[MeSH Terms] with publication-type and date filters, retrieved 2026-11-04.

Reading the evidence in diagnostics and medical technology

A test or device is judged by how well it detects a condition, how often it gives false alarms or misses cases, and whether using it improves outcomes for people. Accuracy depends on who is tested and how common the condition is, so a test that performs well in a specialist hospital can perform differently in the community. Check the reference standard, the population studied, the sensitivity and specificity and whether results were confirmed in a separate group.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Patient preferences for Remote cochlear implant management: A discrete choice experiment
Sucher C, Norman R, Chaffey E, Bennett R, Ferguson M
2025Research article
Design not recorded in structured metadata
9cc by
PMID 40460110 · DOI · PMC12133006
Sound quality, not speech recognition, explains cochlear implant-related quality of life outcomes
Berg KA, Birky HM, Sevich VA, Moberly AC, Tamati TN
2025Research article
Design not recorded in structured metadata
5cc by
PMID 41085997 · DOI · PMC13495099
The Green Cochlea
Hagr A, Alzhrani F, Almuhawas F, Abdelsamad Y, Yousef M, Alahmadi A, et al.
2025Review article
Design not recorded in structured metadata
4cc by
PMID 40916254 · DOI · PMC12451368
The Interphase Gap Effect in Cochlear Implant Users: Biological Basis, Parameter Selection, Analytical Methods, and Quantitative Scales
He S, Gao Z, Oleson JJ, Bruce IC
2026Research article
Design not recorded in structured metadata
3cc by
PMID 41840299 · DOI · PMC13237389

Patient preferences for Remote cochlear implant management: A discrete choice experiment [1]

Research article Sucher C, Norman R, Chaffey E, Bennett R, Ferguson M · · 2025 · cited 9 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundThe opportunity to assess cochlear implant outcomes remotely provides the potential to streamline delivery of care for cochlear implant users.
Closing excerpt
Whilst there is an appetite for use of Remote CheckTM alongside clinic visits, it is not suitable for, nor preferred by, all cochlear implant users.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (292 words)

BackgroundThe opportunity to assess cochlear implant outcomes remotely provides the potential to streamline delivery of care for cochlear implant users. However, the conditions required for its implementation into clinic systems must be fully understood to ensure success and sustainability. The objectives of this study were to (i) use a discrete choice experiment quantify the preferences of cochlear implant users when considering use of Cochlear Remote CheckTM, a remote assessment service, and (ii) explore the perceptions, insights and attitudes of CI users that may influence utilisation of a remote service.DesignA discrete choice experiment was administrated to Australian adult cochlear implant users via an online survey. Participants chose between pairs of hypothetical clinical service options for three different clinical scenarios (acute care, troubleshooting and long-term review). Participants answered a series of questions focusing on how and when remote services should be discussed and offered within their hearing journey.ResultsA total of 124 adult cochlear implant users completed the survey. Conditional logit analysis revealed the strongest participant preference was clinician continuity for assessment review, followed by low service costs. They preferred to receive assessment results within one week of completion, but not by videoconference/call in the acute care scenario. Only 12% of participants preferred in-clinic visits for all scenarios. Notably, 100% of participants felt that cochlear implant users should be made aware of remote service opportunities available to them.ConclusionStudy participants placed high importance on clinician continuity, but preferences for timing and delivery of results were less pronounced. This information can help to inform customisation of remote services by individual clinics. Costs and payment infrastructure for providing remote care require careful consideration. Whilst there is an appetite for use of Remote CheckTM alongside clinic visits, it is not suitable for, nor preferred by, all cochlear implant users.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 40460110 · DOI · PMC12133006

Sound quality, not speech recognition, explains cochlear implant-related quality of life outcomes [2]

Research article Berg KA, Birky HM, Sevich VA, Moberly AC, Tamati TN · · 2025 · cited 5 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
This study examined relationships between cochlear implant-aided speech recognition, sound quality ratings, and quality of life outcomes in 41 adult cochlear implant users.
Closing excerpt
These findings highlight sound quality as a distinct and meaningful outcome metric.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (99 words)

This study examined relationships between cochlear implant-aided speech recognition, sound quality ratings, and quality of life outcomes in 41 adult cochlear implant users. Participants completed word and sentence recognition tasks, the Speech, Spatial and Qualities (SSQ) questionnaire, and the Cochlear Implant Quality of Life (CIQOL) questionnaire. Sound quality ratings on SSQ showed a weak correlation with sentence recognition in noise but strong positive correlations with CIQOL scores. Sound quality independently predicted quality of life, explaining 32% of global score variance, while speech recognition measures showed no effects. These findings highlight sound quality as a distinct and meaningful outcome metric.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41085997 · DOI · PMC13495099

The Green Cochlea [3]

Review article Hagr A, Alzhrani F, Almuhawas F, Abdelsamad Y, Yousef M, Alahmadi A, et al. · · 2025 · cited 4 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
ObjectivesHealthcare systems contribute significantly to global greenhouse gas emissions through energy consumption and waste generation.
Closing excerpt
ConclusionBy adopting these sustainable practices, the cochlear implant field can reduce its environmental impact, contribute meaningfully to global sustainability efforts, and enhance patient well-being, positioning itself as a leader in healthcare sustainability.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (150 words)

ObjectivesHealthcare systems contribute significantly to global greenhouse gas emissions through energy consumption and waste generation. This study aims to explore strategies to make cochlear implantation processes more environmentally sustainable and aligned with the United Nations' Sustainable Development Goals.MethodsWe examined various approaches including the use of bio-based and biodegradable materials, sustainable energy solutions, greener anesthetic practices, effective waste separation and recycling in operating rooms, and patient-centered strategies such as reducing travel and promoting early activation and fitting of cochlear implants.ResultsEstablishing a 'Green Team' was identified as a key factor to raise awareness and motivation for sustainability initiatives. Implementing these strategies can significantly reduce the environmental footprint of cochlear implantation by decreasing surgical waste, lowering energy consumption, and minimizing patient-related emissions.ConclusionBy adopting these sustainable practices, the cochlear implant field can reduce its environmental impact, contribute meaningfully to global sustainability efforts, and enhance patient well-being, positioning itself as a leader in healthcare sustainability.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 40916254 · DOI · PMC12451368

The Interphase Gap Effect in Cochlear Implant Users: Biological Basis, Parameter Selection, Analytical Methods, and Quantitative Scales [4]

Research article He S, Gao Z, Oleson JJ, Bruce IC · · 2026 · cited 3 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
PurposeThis study aimed (1) to determine the biological basis of the interphase gap (IPG) effect and (2) to identify the most informative parameters, analytical methods, and quantitative scales for evaluating the IPG effect in human cochlear implant (CI) users.
Closing excerpt
Stimulation level offset and the IPG effect on maximum slope are robust indicators of CN fiber counts in CI users and are unaffected by the choice of quantitative scale.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (252 words)

PurposeThis study aimed (1) to determine the biological basis of the interphase gap (IPG) effect and (2) to identify the most informative parameters, analytical methods, and quantitative scales for evaluating the IPG effect in human cochlear implant (CI) users.MethodsThe IPG effect was quantified using multiple parameters, analytical methods, and quantitative scales (three combinations using linear or logarithmic scales for the input and output variables) across three pediatric CI groups with differing cochlear nerve (CN) anatomy: children with cochlear nerve deficiency (CND), GJB2 mutations, and idiopathic sensorineural hearing loss (SNHL). All participants in the GJB2 and idiopathic SNHL groups had normal-sized CNs (NSCNs) in the test ear. Neural synchrony, a property depending on neural health, was assessed using phase locking value (PLV) and compared between children with CND and those with GJB2 mutations.ResultsThe PLV did not differ significantly between the CND and GJB2 groups, nor did it correlate with the IPG effect in GJB2 cases, regardless of parameter, analytical method, or quantitative scale. In contrast, consistent group differences in IPG effects on stimulation level offset and maximum slope of the eCAP input/output function were observed across all analytical methods and quantitative scales. The sensitivity of other eCAP measures-threshold, maximum amplitude, and overall linear slope-to group differences varied by quantitative scale.ConclusionsThe IPG effect primarily reflects the number of active CN fibers rather than their health. Stimulation level offset and the IPG effect on maximum slope are robust indicators of CN fiber counts in CI users and are unaffected by the choice of quantitative scale.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41840299 · DOI · PMC13237389

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Hearing Loss in Children: A Review [5]
    Lieu JEC, Kenna M, Anne S, Davidson L · JAMA · 2020 · cited 368 times (Europe PMC)
  • Research article Hearing aids for mild to moderate hearing loss in adults [6]
    Ferguson MA, Kitterick PT, Chong LY, Edmondson-Jones M, Barker F, Hoare DJ · Cochrane Database Syst Rev · 2017 · cited 272 times (Europe PMC)
  • Research article Association of Hearing Aids and Cochlear Implants With Cognitive Decline and Dementia: A Systematic Review and Meta-analysis [7]
    Yeo BSY, Song HJJMD, Toh EMS, Ng LS, Ho CSH, Ho R, et al. · JAMA Neurol · 2023 · cited 172 times (Europe PMC)
  • Research article A meta-analysis of the complications associated with osseointegrated hearing aids [8]
    Kiringoda R, Lustig LR · Otol Neurotol · 2013 · cited 152 times (Europe PMC)
  • Research article Neuronal Development of Hearing and Language: Cochlear Implants and Critical Periods [9]
    Kral A, Dorman MF, Wilson BS · Annu Rev Neurosci · 2019 · cited 123 times (Europe PMC)
  • Research article Hearing Instruments for Unilateral Severe-to-Profound Sensorineural Hearing Loss in Adults: A Systematic Review and Meta-Analysis [10]
    Kitterick PT, Smith SN, Lucas L · Ear Hear · 2016 · cited 97 times (Europe PMC)

References

  1. Sucher C, Norman R, Chaffey E, Bennett R, Ferguson M. Patient preferences for Remote cochlear implant management: A discrete choice experiment. . 2025. PMID 40460110 · DOI · PMC12133006
  2. Berg KA, Birky HM, Sevich VA, Moberly AC, Tamati TN. Sound quality, not speech recognition, explains cochlear implant-related quality of life outcomes. . 2025. PMID 41085997 · DOI · PMC13495099
  3. Hagr A, Alzhrani F, Almuhawas F, Abdelsamad Y, Yousef M, Alahmadi A, et al.. The Green Cochlea. . 2025. PMID 40916254 · DOI · PMC12451368
  4. He S, Gao Z, Oleson JJ, Bruce IC. The Interphase Gap Effect in Cochlear Implant Users: Biological Basis, Parameter Selection, Analytical Methods, and Quantitative Scales. . 2026. PMID 41840299 · DOI · PMC13237389
  5. Lieu JEC, Kenna M, Anne S, Davidson L. Hearing Loss in Children: A Review. JAMA. 2020. PMID 33258894 · DOI
  6. Ferguson MA, Kitterick PT, Chong LY, Edmondson-Jones M, Barker F, Hoare DJ. Hearing aids for mild to moderate hearing loss in adults. Cochrane Database Syst Rev. 2017. PMID 28944461 · DOI · PMC6483809
  7. Yeo BSY, Song HJJMD, Toh EMS, Ng LS, Ho CSH, Ho R, et al.. Association of Hearing Aids and Cochlear Implants With Cognitive Decline and Dementia: A Systematic Review and Meta-analysis. JAMA Neurol. 2023. PMID 36469314 · DOI · PMC9856596
  8. Kiringoda R, Lustig LR. A meta-analysis of the complications associated with osseointegrated hearing aids. Otol Neurotol. 2013. PMID 23739555 · DOI
  9. Kral A, Dorman MF, Wilson BS. Neuronal Development of Hearing and Language: Cochlear Implants and Critical Periods. Annu Rev Neurosci. 2019. PMID 30699049 · DOI
  10. Kitterick PT, Smith SN, Lucas L. Hearing Instruments for Unilateral Severe-to-Profound Sensorineural Hearing Loss in Adults: A Systematic Review and Meta-Analysis. Ear Hear. 2016. PMID 27232073 · DOI · PMC4998125

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-11-04; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-11-04.

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At a glance

24,911
PubMed records on this heading
27%
published since 2020
2,058
review articles
463
randomized trials
10
verified references below

Counts come from PubMed on 2026-11-04; they show how much has been written, not how strong the evidence is.

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