| Indication | Detection of subclinical, mild, and advanced auditory deficits |
| Access | Clinical audiometry, school/community screenings, portable and subjective platforms |
| Screening Sched | Hughes 2025: Routine integration at age 50+; USPSTF: Insufficient evidence. |
| Safety Profile | Low (non-invasive diagnostics, minimal physical risk) |
| Key Marker | Pure-tone thresholds (dB HL), speech-in-noise detection, HHIE-S score |
| Est. Cost | Free (preventive clinical services) to $50–$150 (out-of-pocket screening) |
Hearing screening is a primary non-pharmacological diagnostic intervention designed to identify subclinical and clinical hearing impairment before the manifestation of severe psychosocial, cognitive, and functional decline. Given that untreated hearing loss represents a highly prevalent chronic condition in adults that is linked to significant health and social challenges, structured screening protocols and early-stage corrective interventions are foundational to maintaining quality of life and physiological function in aging populations [1].
Hearing screening represents a highly effective, low-cost, and non-invasive preventive intervention. While professional guidelines on asymptomatic screening intervals vary, structured subjective and objective screening tools reliably identify functional deficits and guide transition to targeted audiological rehabilitation, which significantly improves communication and supports social engagement [5:1].
Certain acute, sudden, or asymmetrical otological signs are key Red-Flag Symptoms and clinical indicators of potentially severe underlying retrocochlear, vascular, or inflammatory pathology. These scenarios require immediate diagnostic workup and emergency clinical evaluation:
Hearing loss in adults is a multifactorial condition driven by both intrinsic biological processes and extrinsic environmental exposures. Understanding these risk factors is essential for identifying high-risk individuals who warrant proactive clinical screening:
While clinical organizations agree on the high morbidity of untreated hearing impairment, recommendations for routine adult screening vary. Current clinical consensus emphasizes integrating routine screening into patient care visits for individuals aged 50 and above [1:5], which contrasts with the US Preventive Services Task Force (USPSTF) stance of "insufficient evidence" for asymptomatic older adults [15]:
| Organization / Protocol | Recommended Screening Schedule | Target Population & Methodology |
|---|---|---|
| Routine Integration (Hughes 2025) | Integrated into routine care visits for age 50+ | Recommends integrating routine hearing screenings and patient-centered counseling during regular clinical visits for individuals aged 50 and above [1:8]. |
| US Preventive Services Task Force (USPSTF) | Insufficient Evidence (I Statement) [15:2] | Asymptomatic adults aged 50 years or older; cites lack of direct trial evidence for routine asymptomatic population screening [15:3]. |
| Clinical Consensus Guidelines (Hughes 2025) | Integration at age 50+ | Focuses on integrating routine screening into care visits, patient-centered counseling, and early audiological interventions to maximize hearing health [1:9]. |
| HEARRING Expert Protocol | Subjective triage + Digits-in-Noise (DIN) [16] | Primary care screening utilizing red-flag questions, the HHIE-S, and a tablet-based Digits-in-Noise test [16:1]. |
| Bedside Triage Protocol (Bagai 2006) | Multi-step clinical triage protocol [17] | Asks "Do you have a hearing problem?" (LR = 2.5). Yes response refers to audiometry; No is followed by the whispered-voice test [17:1]. |
The standard clinical pure-tone screening protocol is a rapid, non-invasive behavioral test used to determine whether a patient can perceive sounds across the primary frequency spectrum critical for understanding human speech. Unlike diagnostic audiometry, which aims to find a patient's absolute hearing threshold, screening employs a fixed-intensity, sweep-frequency approach to provide a simple binary ("pass" or "refer") outcome:
The primary clinical objective of adult hearing screening is the early identification of age-related hearing loss (presbycusis) to initiate prompt acoustic rehabilitation and prevent secondary systemic decline. Age-related sensorineural decay is a prevalent, slowly progressive chronic condition that often remains unacknowledged by patients due to gradual habituation and cognitive compensation [1:10]. Corrective interventions yield extensive functional and systemic benefits:
Successful audiological rehabilitation with fitted hearing aids has been shown to produce a statistically significant reduction in self-perceived hearing difficulties and functional handicap in daily life, enhancing social interaction and overall communicative quality of life [2:2][5:2].
Corrective interventions actively support mental health in the aging population. Providing fitted hearing aids has been shown in prospective randomized trials to significantly alleviate the progressive accumulation of depressive symptoms and improve hearing-related quality of life over long-term follow-up, with benefits most pronounced among individuals with active social networks [5:3].
In the large-scale, multicenter, randomized controlled ACHIEVE trial, structured audiological rehabilitation (incorporating counseling and fitted hearing aids) was evaluated over a 3-year follow-up period to assess its impact on Cognitive Decline and overall function:
When an individual presents with auditory concerns or undergoes routine screening, clinical pathways emphasize integrating structured assessments and patient-centered counseling into standard visits [1:11]. An important phase of this pathway involves identifying and accounting for mechanical, physical obstructions in the external auditory canal that can artificially elevate hearing thresholds and confound pure-tone results.
During population-based preventive screening, physical obstructions such as suspected occluding wax are common, identified in approximately 2.1% of screened individuals [24]. Accumulated cerumen can block or dampen sound wave transmission through the external auditory canal, mimicking sensorineural decay by creating a temporary conductive hearing loss.
In clinical trial protocols (such as Karlsmose et al. 2001), participants underwent pure-tone audiometry first, with those whose average hearing thresholds exceeded 20 dB HL in either ear subsequently advised to undergo a clinical ear examination to detect and resolve occluding wax and other mechanical confounds [24:1]. Identifying these reversible external factors is a critical prerequisite to performing comprehensive diagnostic audiometry, ensuring that transient blockages do not skew the diagnostic mapping of true cochlear and neural auditory thresholds.
Following initial screening and physical evaluation of the ear canal, patients who require further evaluation are referred to specialized care. Understanding the distinct clinical scopes and boundaries between Audiology and Otolaryngology (ENT) is essential for ensuring that patients receive timely, appropriate medical, surgical, or rehabilitative care [1:12]:
Audiologists are non-medical clinical specialists holding clinical doctoral degrees (Au.D.) who specialize in the non-medical diagnosis, management, and long-term acoustic rehabilitation of hearing and vestibular systems.
Otolaryngologists are medical doctors and surgeons (MD/DO) who specialize in the medical and surgical management of diseases, structural anomalies, and injuries affecting the ears, nose, throat, and related structures of the head and neck.
While animal models of noise-induced sensory loss and cochlear synaptopathy provide valuable histological insights, human clinical evidence defines strict operational boundaries. For instance, rodent studies show that high-level noise exposure can destroy synaptic contacts between inner hair cells and the auditory nerve (cochlear synaptopathy) without altering absolute pure-tone thresholds. However, human case-control studies have demonstrated that verified speech-in-noise (SPiN) impairment in audiometrically normal individuals is not significantly associated with lifetime noise exposure or electrophysiological markers of synaptopathy [32].
Smartphone-based hearing screenings (such as digits-in-noise tests, the hearWHO app, and automated audiometry applications) have gained popularity as highly accessible community triage tools. Clinical studies show that smartphone-based audiometry can serve as an effective screening test to rule out moderate hearing impairment in older populations [33]. While they serve as valuable gateways for increasing primary sensory awareness, they are subject to major practical and technical limitations that prevent them from substituting for formal clinical diagnostics:
Historically, the primary barrier to adult audiological rehabilitation has been the high out-of-pocket financial cost of clinical hearing aids, which are frequently excluded from standard health insurance or Medicare coverage. The US Food and Drug Administration's finalization of regulations establishing the category of over-the-counter (OTC) hearing aids in late 2022 represents a significant structural shift to improve accessibility [26:1].
Clinical trials evaluating self-fitting OTC hearing aids have demonstrated that they are not inferior to traditional clinician-fitted hearing aids for self-reported benefit and objective speech-in-noise outcomes, providing a highly cost-effective, clinically validated option for adults with self-perceived mild-to-moderate hearing impairment [27:1][28:1].
Integrating simple, rapid screening questions into routine adult preventive care checks is highly feasible [1:15]. Clinicians can utilize a single subjective query as a highly efficient primary filter to determine which patients require formal audiological evaluation [17:2][34]:
Preventing progressive sensorineural decline involves active lifestyle modifications to reduce cumulative lifetime noise exposure:
To understand the rationale behind screening and diagnostic testing, it is necessary to examine the anatomical and physiological mechanisms of hearing loss:
[Acoustic Wave] ──> [Outer/Middle Ear (Mechanical)] ──> [Cochlea (Transduction)] ──> [Auditory Nerve (Coding)] ──> [Cortex (Processing)]
Acoustic energy is funneled through the external auditory canal to vibrate the tympanic membrane, which drives the mechanical chain of the middle ear ossicles. This mechanical impedance-matching system transfers sound waves to the fluid-filled cochlea. Disruptions at this stage (e.g., cerumen impaction, tympanic membrane perforation, middle ear effusion, or ossicular stiffening) attenuate the mechanical signal, producing a conductive hearing loss.
Within the cochlear duct, fluid movement displaces the basilar membrane, bending the stereocilia of the inner and outer hair cells. Outer hair cells (OHCs) play a critical role in auditory function by fine-tuning the motion of the basilar membrane [35].
Age-related subclinical outer hair cell (OHC) dysfunction at standard audiometric frequencies (1–4 kHz) is associated with elevated thresholds in the extended high-frequency (EHF) range, rather than direct cochlear synaptopathy [36]. Distortion product otoacoustic emissions (DPOAE) can be used as an objective screening tool to evaluate OHC-mediated cochlear activity in older adults without requiring voluntary behavioral responses [20:2].
Sensory signals are transmitted from inner hair cells (IHCs) to the afferent fibers of the auditory nerve via ribbon synapses. Sub-lethal acoustic trauma or aging can selectively destroy these ribbon synapses (cochlear synaptopathy) without causing immediate hair cell death.
Because absolute pure-tone thresholds in quiet are governed by the few remaining highly sensitive auditory fibers, individuals with cochlear synaptopathy may present with normal standard audiograms despite ribbon synapse degeneration. While earlier animal models suggested that this synaptic loss directly causes impaired speech perception in noisy environments—a clinical phenomenon termed hidden hearing loss (HHL) [37]—this causal link remains controversial in humans. Controlled human studies have demonstrated that verified speech-in-noise (SPiN) impairment is not significantly associated with electrophysiological markers of synaptopathy or lifetime noise-exposure histories [32:1], suggesting that central cognitive processing or subclinical outer hair cell function may play more dominant roles.

Figure 1: The anatomical pathways of auditory transduction, illustrating outer/middle ear mechanics (conductive) and inner ear cochlear pathways (sensorineural) evaluated during standard hearing screening.
The following table summarizes the clinical outcomes, consistency, and evidence quality of hearing screening and audiological interventions in human populations:
| Goal / Intervention | Effect* | Consistency | Evidence Quality | Key Human Trials | Notes & Clinical Context |
|---|---|---|---|---|---|
| Self-Perceived Handicap Identification (HHIE-S) | High | High | Multiple cohort & validation studies [2:3][3:2][38][39][4:2][6:1] | The 10-item HHIE-S is highly validated across diverse linguistic and cultural cohorts for identifying subjective situational and emotional handicaps [2:4][3:3][38:1][39:1][4:3][6:2]. | |
| Hearing Aid Rehabilitation Outcomes | High | High | Prospective clinical cohort studies [2:5][5:4] | Auditory rehabilitation with fitted devices significantly reduces self-perceived handicap (improving post-fitting HHIE-S scores) and enhances communication satisfaction [2:6][5:5]. | |
| Alleviation of Depressive Symptoms | High | High | Randomized Controlled Trial [5:6] | Free hearing aid provision significantly alleviated the progressive accumulation of depressive symptoms over a 20-month period, particularly in socially active networks [5:7]. | |
| Cognitive Decline Attenuation (ARIC Cohort) | High | High | ACHIEVE Randomized Controlled Trial [21:1] | Audiological rehabilitation significantly reduced 3-year cognitive decline in older adults at increased risk for cognitive decline [21:2]. | |
| Falls Reduction over 3 Years | High | High | ACHIEVE Secondary Analysis RCT [22:1] | Fitted hearing aids and counseling were associated with a 27% reduction in the mean number of falls over a 3-year follow-up period [22:2]. | |
| Diagnostic Accuracy of Portable/Remote Screeners | High | High | Clinical Validation Studies [33:1] | Smartphone-based audiometry can serve as an effective screening test to rule out moderate hearing impairment in the older population [33:2]. | |
| Physiological Assessment (DPOAE) | High | Moderate | Clinical Cohort Study [20:3] | Objective DPOAE testing successfully screens older adults without requiring voluntary behavioral responses, representing a non-invasive screening method [20:4]. |
*Compact renderer encoding: <effect e="[dir][mag][impact]"></effect> where dir = u (increase) / d (decrease) / e (no effect) / q (unclear); mag = 0 to 3; impact = p (positive for health) / n (negative) / x (neutral).
Several classes of widely utilized therapeutic agents are established cochleotoxins that selectively damage the inner ear, leading to bilateral sensorineural hearing loss, high-frequency threshold shifts, and vestibulotoxicity. Audiological ototoxicity monitoring (OtoM) guidelines aim to facilitate the early detection of these hearing changes in patients receiving ototoxic medication [13:1].
Cisplatin is a highly ototoxic platinum-based chemotherapeutic that causes bilateral, permanent sensorineural hearing loss, particularly affecting high frequencies [12:1]. Human clinical trials demonstrate that patients receiving cisplatin exhibit significant threshold shifts first at ultra-high frequencies (e.g., 10 kHz, 11.2 kHz, and 12.5 kHz) [12:2]. Standard occupational or clinical pure-tone screenings at frequencies up to 8 kHz may fail to detect early-stage ototoxicity, highlighting the need for ultra-high-frequency audiometry (up to 20 kHz) and distortion product otoacoustic emissions (DPOAE) for early sensory hair cell monitoring [37:1][13:2].
A primary clinical objective of diagnostic audiometry is to differentiate between conductive and sensorineural hearing loss pathways, which dictate vastly different therapeutic strategies:
┌─────────────────────────────────────────┐
│ Fails Primary Hearing Screen │
└────────────────────┬────────────────────┘
│
[Diagnostic Pure-Tone Audiometry]
│
┌─────────────────────────┴─────────────────────────┐
▼ ▼
[Elevated Air Thresholds] [Elevated Air Thresholds]
[Normal Bone Thresholds] [Elevated Bone Thresholds]
│ │
▼ ▼
┌─────────────────────────┐ ┌─────────────────────────┐
│ Conductive Hearing Loss │ │ Sensorineural Hearing │
│ (Mechanical Block) │ │ Loss (SNHL) │
└─────────────────────────┘ └─────────────────────────┘
Standard pure-tone audiometry is performed in sound-isolated environments using simple, static pure tones to measure absolute sensory thresholds. While this remains the gold standard for mapping basic hearing sensitivity, pure-tone averages (PTAs) in quiet fail to capture the complex, high-velocity acoustic processing required for real-world communication.
To evaluate functional communication capacity, audiological protocols utilize standardized speech-in-noise tests (e.g., QuickSIN [35:1], the Hearing in Noise Test [HINT] [41], and the Vocale Rapide dans le Bruit [VRB] [42]). These tests present target sentences against competing multi-talker babble or speech-weighted noise, measuring the exact signal-to-noise ratio (SNR) loss—the decibel increase in signal intensity required for a patient to successfully identify 50% of the target speech.
Clinical research using the VRB speech-in-noise test across varying sentence presentation levels (such as 65 dB SPL and a lower intensity of 45 dB SPL) has validated its high stability and utility in normal-hearing subjects, confirming its role as a robust tool for assessing real-world communicative difficulties and evaluating the functional integrity of high- and low-threshold auditory nerve fibers [42:1].
Evaluating these patients involves a multidimensional battery, including extended high-frequency audiometry, distortion product otoacoustic emissions (DPOAE), and speech-in-noise testing to specify both physiological and functional auditory integrity [37:2][42:2].
For rapid primary care screening and bedside triage, the diagnostic accuracy of subjective maneuvers and questionnaires is highly reliable. The following table contrasts these bedside clinical tests based on established clinical performance metrics:
| Bedside Maneuver / Tool | Sensitivity | Specificity | Likelihood Ratio (LR) if Positive | Likelihood Ratio (LR) if Negative | Primary Source |
|---|---|---|---|---|---|
| Single Question (Do you feel you have a hearing loss?) | 71% [43] | 71% [43:1] | 2.5 (95% CI, 1.7–3.6) [17:6] | 0.13 (95% CI, 0.09–0.19) [17:7] | Bagai et al. 2006 [17:8]; Gates et al. 2003 [43:2] |
| HHIE-S Questionnaire (Score ≥ 8/40 Cut-off) | 53%–72% [44] | 70%–84% [44:1] | 3.8 (95% CI, 3.0–4.8) [17:9] | 0.38 (95% CI, 0.29–0.51) [17:10] / 0.36 (95% CI, 0.19–0.68) [45] | Bagai et al. 2006 [17:11]; Lichtenstein et al. 1988 [45:1][44:2] |
| Whispered Voice Test (Inability to perceive voice) | High | High | 6.1 (95% CI, 4.5–8.4) [17:12] | 0.03 (95% CI, 0.00–0.24) [17:13] | Bagai et al. 2006 [17:14] |
| Standard Audioscope Screen (Failure to perceive sweeps) | 94% [45:2] | 72%–90% [45:3] | 2.4 (95% CI, 1.4–4.1) [17:15] | 0.07 (95% CI, 0.03–0.17) [17:16] | Bagai et al. 2006 [17:17]; Lichtenstein et al. 1988 [45:4] |
Clinical screening is a rapid, binary "pass/refer" triage process designed to identify individuals with a high probability of hearing loss, typically presenting fixed tones at a single volume (e.g., 20 or 25 dB HL) across key speech frequencies or using a self-report questionnaire like the HHIE-S [17:18][1:17][34:1]. In contrast, a diagnostic evaluation is a comprehensive, multi-step process performed by an audiologist in a controlled sound booth. It measures absolute sensory thresholds across a broad frequency range (0.25 to 8 kHz), compares air and bone conduction to identify the exact site of the lesion (conductive vs. sensorineural), and includes speech recognition testing to quantify functional communication capacity.
The 10-item Hearing Handicap Inventory for the Elderly-Screening (HHIE-S) is a highly validated, brief self-report tool measuring the emotional and situational impact of hearing loss. An HHIE-S score ≥ 8/40 yields a likelihood ratio of 3.8 for predicting the presence of a clinical hearing impairment, making it an exceptionally reliable and inexpensive tool for primary care triage and evaluating long-term rehabilitation outcomes [2:7][17:19].
No. Smartphone screening applications serve as excellent community tools to raise sensory awareness and screen for moderate hearing impairment, but they cannot replace standard clinical audiometry [33:3]. They lack clinical-grade hardware calibration, are highly vulnerable to background noise, and cannot perform physical or physiological assessments like otoscopy, transient evoked otoacoustic emissions, or speech-in-noise evaluations to identify underlying mechanical or neurosensory pathologies.
An air-bone gap is an audiometric pattern where bone-conduction thresholds (cochlear sensitivity) are completely normal, but air-conduction thresholds (overall auditory pathway) are elevated. The presence of an air-bone gap confirms a conductive hearing loss, meaning the inner ear is healthy but sound is blocked mechanically in the outer or middle ear, such as by fluid or wax [24:4]. The absence of an air-bone gap confirms a sensorineural hearing loss, indicating the damage resides within the inner ear or auditory nerve.
Clinical crossover and real-world studies demonstrate that self-fitting OTC hearing aids are not inferior to traditional clinician-fitted prescription hearing aids for self-reported benefit and objective speech-in-noise outcomes, providing a highly accessible, clinically validated option for adults with self-perceived mild-to-moderate hearing impairment [27:3][28:3].
This clinical reference was developed through a systematic review of high-impact medical journals, professional clinical guidelines, and diagnostic evaluation studies:
Hughes SE, Brenner CR, Pandian AT. Age-Related Hearing Loss: Evidence-Based Strategies for Early Detection and Management. ORL-Head and Neck Nursing. 2025. https://pubmed.ncbi.nlm.nih.gov/40453791/ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎
Öberg M. Validation of the Swedish Hearing Handicap Inventory for the Elderly (Screening Version) and Evaluation of Its Effect in Hearing Aid Rehabilitation. Trends in Hearing. 2016. https://pubmed.ncbi.nlm.nih.gov/27009755/ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎
Duchêne J, Billiet L, Franco V. Validation of the French version of HHIE-S (Hearing Handicap Inventory for the Elderly - Screening) questionnaire in French over-60 year-olds. European Annals of Otorhinolaryngology, Head and Neck Diseases. 2022. https://pubmed.ncbi.nlm.nih.gov/34895850/ ↩︎ ↩︎ ↩︎ ↩︎
Kovalová M, Mrázková E, Škerková M. The Importance of Screening for Hearing Loss in the Elderly. Otolaryngologia Polska. 2021. https://pubmed.ncbi.nlm.nih.gov/35796396/ ↩︎ ↩︎ ↩︎ ↩︎
Ye X, Zhu D, Chen S. Effects of providing free hearing aids on multiple health outcomes among middle-aged and older adults with hearing loss in rural China: a randomized controlled trial. BMC Medicine. 2022. https://pubmed.ncbi.nlm.nih.gov/35436911/ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎
Servidoni AB, Conterno LO. Hearing Loss in the Elderly: Is the Hearing Handicap Inventory for the Elderly - Screening Version Effective in Diagnosis When Compared to the Audiometric Test? International Archives of Otorhinolaryngology. 2018. https://pubmed.ncbi.nlm.nih.gov/29371892/ ↩︎ ↩︎ ↩︎
Kovács M, Uzsaly J, Bodzai G. Efficacy of high dose systemic versus combined (systemic and intratympanic) corticosteroid therapy in idiopathic sudden sensorineural hearing loss: A prospective randomized trial and risk factor analysis. American Journal of Otolaryngology. 2024. https://pubmed.ncbi.nlm.nih.gov/37948820/ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎
Bhat AM, Nanu DP, Nguyen SA. Prognosis of Bilateral Sudden Sensorineural Hearing Loss: A Systematic Review and Meta-Analysis. The Laryngoscope. 2024. https://pubmed.ncbi.nlm.nih.gov/38506449/ ↩︎ ↩︎ ↩︎
Morata TC. Assessing occupational hearing loss: beyond noise exposures. Scandinavian Audiology Supplementum. 1998. https://pubmed.ncbi.nlm.nih.gov/9505303/ ↩︎ ↩︎
Dehnert K, Raab U, Perez-Alvarez C. Total leisure noise exposure and its association with hearing loss among adolescents. International Journal of Audiology. 2015. https://pubmed.ncbi.nlm.nih.gov/25906840/ ↩︎ ↩︎ ↩︎
Bal N, Derinsu U. The possibility of cochlear synaptopathy in young people using a personal listening device. Auris, Nasus, Larynx. 2021. https://pubmed.ncbi.nlm.nih.gov/33824035/ ↩︎
Campbell KC, Rehemtulla A, Sunkara P. Oral D-methionine protects against cisplatin-induced hearing loss in humans: phase 2 randomized clinical trial in India. International Journal of Audiology. 2022. https://pubmed.ncbi.nlm.nih.gov/34622731/ ↩︎ ↩︎ ↩︎
Lester GM, Wilson WJ, Timmer BHB. Audiological ototoxicity monitoring guidelines: a review of current evidence and appraisal of quality using the AGREE II tool. International Journal of Audiology. 2024. https://pubmed.ncbi.nlm.nih.gov/38062855/ ↩︎ ↩︎ ↩︎
Zhou X, Fu X, Zhang Y. Optimization of utilizing the HHIE-S for hearing screening in older people: a cross-sectional study of associated factors. Scientific Reports. 2025. https://pubmed.ncbi.nlm.nih.gov/40413230/ ↩︎ ↩︎
US Preventive Services Task Force. Screening for Hearing Loss in Older Adults: US Preventive Services Task Force Recommendation Statement. JAMA. 2021. https://pubmed.ncbi.nlm.nih.gov/33755083/ ↩︎ ↩︎ ↩︎ ↩︎
Lammers MJ, Raine C, Mertens G. Towards an adult hearing screening procedure. Brazilian Journal of Otorhinolaryngology. 2025. https://pubmed.ncbi.nlm.nih.gov/40220484/ ↩︎ ↩︎
Bagai A, Thavendiranathan P, Detsky AS. Does this patient have hearing impairment? JAMA. 2006. https://pubmed.ncbi.nlm.nih.gov/16434632/ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎
Samelli AG, Rabelo CM, Sanches SGG. Tablet-Based Hearing Screening Test. Telemedicine Journal and e-Health. 2017. https://pubmed.ncbi.nlm.nih.gov/28328389/ ↩︎ ↩︎ ↩︎ ↩︎
Swanepoel de W, Eikelboom RH, Margolis RH. Tympanometry screening criteria in children ages 5-7 yr. Journal of the American Academy of Audiology. 2014. https://pubmed.ncbi.nlm.nih.gov/25514446/ ↩︎ ↩︎
Jupiter T. Screening for hearing loss in the elderly using distortion product otoacoustic emissions, pure tones, and a self-assessment tool. American Journal of Audiology. 2009. https://pubmed.ncbi.nlm.nih.gov/19474453/ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎
Lin FR, Pike JR, Albert MS. Hearing intervention versus health education control to reduce cognitive decline in older adults with hearing loss in the USA (ACHIEVE): a multicentre, randomised controlled trial. Lancet. 2023. https://pubmed.ncbi.nlm.nih.gov/37478886/ ↩︎ ↩︎ ↩︎
Goman AM, Tan N, Pike JR. Effects of hearing intervention on falls in older adults: findings from a secondary analysis of the ACHIEVE randomised controlled trial. The Lancet Public Health. 2025. https://pubmed.ncbi.nlm.nih.gov/40441816/ ↩︎ ↩︎ ↩︎
Deal JA, Zhang W, Jiang K. Effects of hearing intervention on physical function: A secondary analysis of the ACHIEVE study. PLoS ONE. 2026. https://pubmed.ncbi.nlm.nih.gov/42054408/ ↩︎
Karlsmose B, Lauritzen T, Engberg M. A randomised controlled trial of screening for adult hearing loss during preventive health checks. The British Journal of General Practice. 2001. https://pubmed.ncbi.nlm.nih.gov/11360697/ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎
Moore DR, Sieswerda SL, Grainger MM. Referral and Diagnosis of Developmental Auditory Processing Disorder in a Large, United States Hospital-Based Audiology Service. Journal of the American Academy of Audiology. 2018. https://pubmed.ncbi.nlm.nih.gov/29708487/ ↩︎
Creed LS. 2024 Inaugural OTC Hearing Aid and Hearing Self-Care Symposium: OTC Hearing Aids Regulatory Panel. Seminars in Hearing. 2025. https://pubmed.ncbi.nlm.nih.gov/40290593/ ↩︎ ↩︎ ↩︎
Baltzell LS, Kokkinakis K, Li A. Validation of a Self-Fitting Over-the-Counter Hearing Aid Intervention Compared with a Clinician-Fitted Hearing Aid Intervention: A Within-Subjects Crossover Design Using the Same Device. Trends in Hearing. 2025. https://pubmed.ncbi.nlm.nih.gov/40129389/ ↩︎ ↩︎ ↩︎ ↩︎
Sheng T, Pasquesi L, Gilligan J. Subjective benefits from wearing self-fitting over-the-counter hearing aids in the real world. Frontiers in Neuroscience. 2024. https://pubmed.ncbi.nlm.nih.gov/38699679/ ↩︎ ↩︎ ↩︎ ↩︎
Beukes EW, Andersson G, Fagelson M. Audiologist-Supported Internet-Based Cognitive Behavioral Therapy for Tinnitus in the United States: A Pilot Trial. American Journal of Audiology. 2021. https://pubmed.ncbi.nlm.nih.gov/34432984/ ↩︎
Magele A, Schoerg P, Stanek B. Active transcutaneous bone conduction hearing implants: Systematic review and meta-analysis. PLoS ONE. 2019. https://pubmed.ncbi.nlm.nih.gov/31525208/ ↩︎ ↩︎
van Heteren JAA, van Oorschot HD, Wendrich AW. Sound Localization in Single-Sided Deafness; Outcomes of a Randomized Controlled Trial on the Comparison Between Cochlear Implantation, Bone Conduction Devices, and Contralateral Routing of Signals Hearing Aids. Trends in Hearing. 2024. https://pubmed.ncbi.nlm.nih.gov/39470034/ ↩︎ ↩︎
Guest H, Munro KJ, Prendergast G. Impaired speech perception in noise with a normal audiogram: No evidence for cochlear synaptopathy and no relation to lifetime noise exposure. Hearing Research. 2018. https://pubmed.ncbi.nlm.nih.gov/29680183/ ↩︎ ↩︎
Li LYJ, Wang SY, Wu CJ. Screening for Hearing Impairment in Older Adults by Smartphone-Based Audiometry, Self-Perception, HHIE Screening Questionnaire, and Free-Field Voice Test: Comparative Evaluation of the Screening Accuracy With Standard Pure-Tone Audiometry. JMIR mHealth and uHealth. 2020. https://pubmed.ncbi.nlm.nih.gov/33107828/ ↩︎ ↩︎ ↩︎ ↩︎
Nondahl DM, Cruickshanks KJ, Wiley TL. Accuracy of self-reported hearing loss. Audiology. 1998. https://pubmed.ncbi.nlm.nih.gov/9776206/ ↩︎ ↩︎
Parker MA. Identifying three otopathologies in humans. Hearing Research. 2020. https://pubmed.ncbi.nlm.nih.gov/33011456/ ↩︎ ↩︎
Arora K, Maruthy S. Interplay of age, speech perception in noise, standard and extended high-frequency hearing, and cochlear synaptopathy in individuals with normal audiograms. Hearing Research. 2026. https://pubmed.ncbi.nlm.nih.gov/42284997/ ↩︎
Barbee CM, James JA, Park JH. Effectiveness of Auditory Measures for Detecting Hidden Hearing Loss and/or Cochlear Synaptopathy: A Systematic Review. Seminars in Hearing. 2018. https://pubmed.ncbi.nlm.nih.gov/29915454/ ↩︎ ↩︎ ↩︎
Behboodi L, Chattu VK, Adelirad F. The Psychometric Properties of the Persian Version of the Hearing Handicap Inventory Screening Scale (HHIE-S) among Older Adults. Journal of Communication Disorders. 2022. https://pubmed.ncbi.nlm.nih.gov/36096066/ ↩︎ ↩︎
Apa E, Sacchetto L, Palma S. Italian validation of the Hearing Handicap Inventory for Elderly - Screening version (HHIE-S-It). Acta Otorhinolaryngologica Italica. 2023. https://pubmed.ncbi.nlm.nih.gov/37488990/ ↩︎ ↩︎
Benchetrit L, Ronner EA, Anne S. Cochlear Implantation in Children With Single-Sided Deafness: A Systematic Review and Meta-analysis. JAMA Otolaryngology-- Head & Neck Surgery. 2021. https://pubmed.ncbi.nlm.nih.gov/33151295/ ↩︎
Jo S, Park MK, Seo JH. Feasibility of a Smartphone-Based Hearing Aid App for Mild-to-Moderate Hearing Loss: Prospective Multicenter Randomized Controlled Trial. JMIR mHealth and uHealth. 2023. https://pubmed.ncbi.nlm.nih.gov/37800887/ ↩︎
Toulemonde P, Giraudet F, Macario J. Speech audiometry in noise: Signal noise ratio loss values according speech signal level presentation in normal hearing subjects. European Annals of Otorhinolaryngology, Head and Neck Diseases. 2026. https://pubmed.ncbi.nlm.nih.gov/40841284/ ↩︎ ↩︎ ↩︎
Gates GA, Murphy M, Rees TS. Screening for handicapping hearing loss in the elderly. The Journal of Family Practice. 2003. https://pubmed.ncbi.nlm.nih.gov/12540314/ ↩︎ ↩︎ ↩︎
Lichtenstein MJ, Bess FH, Logan SA. Diagnostic performance of the hearing handicap inventory for the elderly (screening version) against differing definitions of hearing loss. Ear and Hearing. 1988. https://pubmed.ncbi.nlm.nih.gov/3169401/ ↩︎ ↩︎ ↩︎
Lichtenstein MJ, Bess FH, Logan SA. Validation of screening tools for identifying hearing-impaired elderly in primary care. JAMA. 1988. https://pubmed.ncbi.nlm.nih.gov/3285039/ ↩︎ ↩︎ ↩︎ ↩︎ ↩︎