Smartphone-Based Applications to Detect Hearing Loss: A Review of Current Technology

A Multicenter Validity Study of Four Smartphone Hearing Test Apps in Optimized and Home Environments

OBJECTIVE

Pure tone audiometry (PTA) is the gold standard for hearing assessment. However, it requires access to specialized equipment. Smartphone audiometry applications (apps) have been developed to perform automated threshold audiometry and could allow patients to perform self-administered screening or monitoring. This study aimed to assess the validity and feasibility of patients using apps to self-assess hearing thresholds at home, with comparison to PTA.

METHODS

A multi-center, prospective randomized study was conducted amongst patients undergoing PTA in clinics. Participants were randomly allocated to one of four publicly-available apps designed to measure pure tone thresholds. Participants used an app once in optimal sound-treated conditions and a further three times at home. Ear-specific frequency-specific thresholds and pure tone average were compared using Pearson correlation coefficient. The percentage of app hearing tests with results within ±10 dB of PTA was calculated. Patient acceptability was assessed via an online survey.

RESULTS

One hundred thirty-nine participants submitted data. The results of two at-home automated smartphone apps correlated strongly/very strongly with PTA average and their frequency-specific median was within ±10 dB accuracy. Smartphone audiometry performed in sound-treated and home conditions were very strongly correlated. The apps were rated as easy/very easy to use by 90% of participants and 90% would be happy/very happy to use an app to monitor their hearing.

CONCLUSION

Judicious use of self-performed smartphone audiometry was both valid and feasible for two of four apps. It could provide frequency-specific threshold estimates at home, potentially allowing assessments of patients remotely or monitoring of fluctuating hearing loss.

LEVEL OF EVIDENCE

2 Laryngoscope, 134:2864-2870, 2024.

Tools for telehealth: A correlational analysis of app-based hearing testing

Objective

Telehealth evaluation of hearing is rapidly evolving; however, the lack of consensus on the most accurate remote hearing test application has made hearing evaluation complicated. The objective of this study was to evaluate the correlation between the pure tone audiometry results obtained from app-based hearing testing programs and a traditional audiogram.

Methods

A prospective within-subject and between-subject study design was used to correlate audiogram results between app-based hearing programs and a traditional audiogram. All participants completed a traditional audiogram, 1 commercial app-based test (ShoeBox), 2 consumer app-based tests (EarTrumpet and Hearing Test and Ear Age Test [HTEAT]), and a Hearing Handicap Inventory screening version (HHI-S). Testing was conducted in an acoustically controlled environment (traditional) and a quiet room (app-based hearing tests).

Results

A total of 39 participants were enrolled in the study (21 with normal hearing and 18 with hearing loss). In patients with normal hearing, only the commercial hearing testing app (ShoeBox) had a statistically significant pure tone average correlation in both ears with traditional audiometry (Right ear-r = 0.7, p = .005, Left ear-r = 0.66, p = .001). Both consumer and commercial apps had statistically significant correlations with both ears in patients with hearing loss (ranging from r = 0.62 to r = 0.9). Regarding accuracy within 10 dB of the pure tone average of the traditional audiogram of all tested ears, the commercial app-based test was accurate in 94% for all ears (normal and hearing loss), while consumer app-based tests were between 14% and 36% for all ears. The HHI-S indicated no hearing impairment in 95% of those with normal hearing and indicated hearing impairment in 89% of those with hearing loss.

Conclusion

Commercial-grade app-based pure tone audiometry demonstrates overall strong correlation and accuracy with traditional audiometry. The HHI-S assessment remains a valid and useful tool to predict normal hearing and hearing impairment.

Level of Evidence

2.

A Mobile Application for Child-Focused Tonsillectomy Education: Development and User-Testing

OBJECTIVE

Patient education is central to Enhanced Recovery After Surgery protocols, but child-focused materials are lacking. We developed and piloted a mobile application to support accessible, interactive patient and caregiver education about pediatric tonsillectomy.

METHODS

Thirty children ages 5-12 who were preparing for tonsillectomy, their caregivers, and six attending otolaryngologists participated in a user-testing trial of a web-based prototype. The trial measured feasibility, fidelity, and patient-centered outcomes. Patients and caregivers rated usability/likeability on the mHealth App Usability Questionnaire. Otolaryngologists rated quality on the Mobile App Rating Scale. The full mobile application, "Ready for Tonsillectomy," was then developed for iOS and Android.

RESULTS

Enrollment was 88.2%, retention was 90.0%, and use was 96.3%. Mean (SD) patient ratings for usability/likeability were 6.3 (1.1) out of 7; caregiver ratings were 6.5 (1.1). In common themes from open-ended feedback, patients described the application as helpful and appealing, and caregivers described it as informative, easy to understand, calming, and easy to use. Among caregivers who used the application during recovery, 92.3% reported that it helped them manage their child's pain. Providers would recommend the application to many or all of their patients (mean [SD]: 4.7 [0.5] out of 5). Mean provider ratings for domains of engagement, functionality, aesthetics, information quality, subjective quality, and app-specific value ranged from 4.1 to 4.8 out of 5.

CONCLUSION

Feasibility and fidelity were high. Families and otolaryngologists endorsed the resource as an engaging, informative tool that supports positive coping. Our mobile application offers a patient-centered solution readily scalable to other surgeries.

LEVEL OF EVIDENCE

NA Laryngoscope, 134:2455-2463, 2024.

Plain Language Summary: Age-Related Hearing Loss

The plain language summary explains age-related hearing loss to patients, families, and care partners. The summary is for any patient aged 50 years and older, families, and care partners. It is based on the 2024 "Clinical Practice Guideline: Age-Related Hearing Loss." This plain language summary is a companion publication to the full guideline, which provides greater detail for clinicians. Guidelines and their recommendations may not apply to every patient, but they can be used to find best practices and quality improvement opportunities.

Clinical Practice Guideline: Age-Related Hearing Loss

OBJECTIVE

Age-related hearing loss (ARHL) is a prevalent but often underdiagnosed and undertreated condition among individuals aged 50 and above. It is associated with various sociodemographic factors and health risks including dementia, depression, cardiovascular disease, and falls. While the causes of ARHL and its downstream effects are well defined, there is a lack of priority placed by clinicians as well as guidance regarding the identification, education, and management of this condition.

PURPOSE

The purpose of this clinical practice guideline is to identify quality improvement opportunities and provide clinicians trustworthy, evidence-based recommendations regarding the identification and management of ARHL. These opportunities are communicated through clear actionable statements with explanation of the support in the literature, evaluation of the quality of the evidence, and recommendations on implementation. The target patients for the guideline are any individuals aged 50 years and older. The target audience is all clinicians in all care settings. This guideline is intended to focus on evidence-based quality improvement opportunities judged most important by the guideline development group (GDG). It is not intended to be a comprehensive, general guide regarding the management of ARHL. The statements in this guideline are not intended to limit or restrict care provided by clinicians based on their experience and assessment of individual patients.

ACTION STATEMENTS

The GDG made strong recommendations for the following key action statements (KASs): (KAS 4) If screening suggests hearing loss, clinicians should obtain or refer to a clinician who can obtain an audiogram. (KAS 8) Clinicians should offer, or refer to a clinician who can offer, appropriately fit amplification to patients with ARHL. (KAS 9) Clinicians should refer patients for an evaluation of cochlear implantation candidacy when patients have appropriately fit amplification and persistent hearing difficulty with poor speech understanding. The GDG made recommendations for the following KASs: (KAS 1) Clinicians should screen patients aged 50 years and older for hearing loss at the time of a health care encounter. (KAS 2) If screening suggests hearing loss, clinicians should examine the ear canal and tympanic membrane with otoscopy or refer to a clinician who can examine the ears for cerumen impaction, infection, or other abnormalities. (KAS 3) If screening suggests hearing loss, clinicians should identify sociodemographic factors and patient preferences that influence access to and utilization of hearing health care. (KAS 5) Clinicians should evaluate and treat or refer to a clinician who can evaluate and treat patients with significant asymmetric hearing loss, conductive or mixed hearing loss, or poor word recognition on diagnostic testing. (KAS 6) Clinicians should educate and counsel patients with hearing loss and their family/care partner(s) about the impact of hearing loss on their communication, safety, function, cognition, and quality of life (QOL). (KAS 7) Clinicians should counsel patients with hearing loss on communication strategies and assistive listening devices. (KAS 10) For patients with hearing loss, clinicians should assess if communication goals have been met and if there has been improvement in hearing-related QOL at a subsequent health care encounter or within 1 year. The GDG offered the following KAS as an option: (KAS 11) Clinicians should assess hearing at least every 3 years in patients with known hearing loss or with reported concern for changes in hearing.

The Hearing Test App for Android Devices: Distinctive Features of Pure-Tone Audiometry Performed on Mobile Devices

The popularity of mobile devices, combined with advances in electronic design and internet technology, has enabled home-based hearing tests in recent years. The purpose of this article is to highlight the distinctive aspects of pure-tone audiometry performed on a mobile device by means of the Hearing Test app for Android devices. The first version of this app was released a decade ago, and since then the app has been systematically improved, which required addressing many issues common to the majority of mobile apps for hearing testing. The article discusses techniques for mobile device calibration, outlines the testing procedure and how it differs from traditional pure-tone audiometry, explores the potential for bone conduction testing, and provides considerations for interpreting mobile audiometry including test duration and background noise. The article concludes by detailing clinically relevant aspects requiring special attention during testing and interpretation of results which are of substantial value to the hundreds of thousands of active users of the Hearing Test app worldwide, as well as to users of other hearing test apps.

Can Videoconferencing Be a Viable Method to Measure Speech Perception?

PURPOSE

Telehealth has proven effective for service delivery to remote and rural locations and was helpful during lockdowns when patients were unable to see clinicians in person. To assure the reliability of clinical services, the aim of the present study was to evaluate a telehealth protocol to measure speech perception skills through virtual meeting applications such as Zoom.

METHOD

A total of 20 participants with normal hearing and cognition participated in the study. Participants' speech perception performance was measured in two sessions: one over a Zoom call and one in person in the laboratory. Speech perception was measured using Quick Speech-in-Noise Test, Bamford-Kowal-Bench Speech-in-Noise Test, and Words-in-Noise Test.

RESULTS

Statistical analysis revealed no significant differences between speech perception scores obtained over the Zoom and in-person methodologies for any of the tests. Additionally, our study found no significant difference in the scores obtained between wired and wireless headphones during Zoom calls.

CONCLUSION

These results suggest that Zoom can be used as a reliable method to measure speech perception in young individuals with normal hearing using these three tests in situations where conventional methods cannot be utilized.

Validated mobile applications in otolaryngology head and neck surgery for patient and physicians: A systematic literature review

IMPORTANCE

Mobile apps in the field of ORL-HNS, are widely used by patients and physicians, but neither necessarily developed in collaboration with healthcare professionals nor subjected to regulations by the United States Food and Drug Administration guidelines, with a resultant potential of risk for its users.

OBJECTIVE

To provide the ORL-HNS physician with an updated list of scientific peer review literature- validated mobile apps for safe use for both the clinician and the patients, for screening, diagnosis, therapy and follow up for various ORL-HNS pathologies.

EVIDENCE REVIEW

A comprehensive systematic review of the scientific literature was conducted in "PubMed," "EMBASE," and "Web of Science" without limitation of publication date up to January 1st, 2023. The included papers validated mobile apps in the ORL-HNS discipline. Each study was evaluated using the "Strengthening the Reporting of Observational Studies in Epidemiology" (STROBE) tool.

FINDINGS

From the thousands of unregulated ORL-HNS mobile apps available for download and use in the various app stores, only 17 apps were validated for safe use by the clinician and/or patient. Their information is listed.

CONCLUSIONS AND RELEVANCE

The limited number of validated mobile apps highlights the importance to use validated apps in clinical practice, to improve evidence-based medicine and patient safety. Physician are encouraged to use and recommend their patients to use validated mobile apps only, like any other tool in clinical practice in the evidence-based era.

Early Detection of Hearing Loss among the Elderly

BACKGROUND

Age-related hearing loss (ARHL) is a complex communication disorder that affects the cochlea and central auditory pathway. The goal of this study is to characterize this type of hearing loss and to identify non-invasive, inexpensive, and quick tests to detect ARHL among elderly adults, seeking to preserve quality of life and reduce the burden on healthcare systems.

METHODS

An observational, prospective study is conducted with >55-year-old subjects divided into the following groups: normal range (Group A), detected but not treated (Group B), and detected and treated (Group C). During follow-up, Speech Spatial Qualities (SSQ12), and Hearing Handicap Inventory in the Elderly Screening test (HHIE-S) questionnaires were assessed, along with hearing levels (hearing thresholds at 4 kHz were studied in more depth), and a series of tests and questionnaires to assess balance, cognitive level, level of dependence, and depression.

RESULTS

A total of 710 patients were included in this study. The duration of hearing loss (11.8 yr. in Group B and 21.0 yr. in Group C) and average time-to-treatment for Group C (14.1 yr.) are both protracted. Both of the used questionnaires show statistically significant differences among the groups, revealing greater handicaps for Group C. Audiometry performed at 4 kHz shows how hearing loss progresses with age, finding differences between men and women. There is a correlation between time-to-treatment in Group C and the cognitive test DSST (-0.26; p = 0.003).

CONCLUSIONS

HHIE-S, SSQ12, and 4 kHz audiometry are sensitive and feasible tests to implement in screening programs.

Age-related hearing loss associated with differences in the neural correlates of feature binding in visual working memory

The underlying neural mechanisms underpinning the association between age-related hearing loss (ARHL) and dementia remain unclear. A limitation has been the lack of functional neuroimaging studies in ARHL cohorts to help clarify this relationship. In the present study, we investigated the neural correlates of feature binding in visual working memory with ARHL (controls = 14, mild HL = 21, and moderate or greater HL = 23). Participants completed a visual change detection task assessing feature binding while their neural activity was synchronously recorded via high-density electroencephalography. There was no difference in accuracy scores for ARHL groups compared to controls. There was increased electrophysiological activity in those with ARHL, particularly in components indexing the earlier stages of visual cognitive processing. This activity was more pronounced with more severe ARHL and was associated with maintained feature binding. Source space (sLORETA) analyses indicated greater activity in networks modulated by frontoparietal and temporal regions. Our results demonstrate there may be increased involvement of neurocognitive control networks to maintain lower-order neurocognitive processing disrupted by ARHL.

Burden, determinants, consequences and care of multimorbidity in rural and urbanising Telangana, India: protocol for a mixed-methods study within the APCAPS cohort

INTRODUCTION

The epidemiological and demographic transitions are leading to a rising burden of multimorbidity (co-occurrence of two or more chronic conditions) worldwide. Evidence on the burden, determinants, consequences and care of multimorbidity in rural and urbanising India is limited, partly due to a lack of longitudinal and objectively measured data on chronic health conditions. We will conduct a mixed-methods study nested in the prospective Andhra Pradesh Children and Parents' Study (APCAPS) cohort to develop a data resource for understanding the epidemiology of multimorbidity in rural and urbanising India and developing interventions to improve the prevention and care of multimorbidity.

METHODS AND ANALYSIS

We aim to recruit 2100 APCAPS cohort members aged 45+ who have clinical and lifestyle data collected during a previous cohort follow-up (2010-2012). We will screen for locally prevalent non-communicable, infectious and mental health conditions, alongside cognitive impairments, disabilities and frailty, using a combination of self-reported clinical diagnosis, symptom-based questionnaires, physical examinations and biochemical assays. We will conduct in-depth interviews with people with varying multimorbidity clusters, their informal carers and local healthcare providers. Deidentified data will be made available to external researchers.

ETHICS AND DISSEMINATION

The study has received approval from the ethics committees of the National Institute of Nutrition and Indian Institute of Public Health Hyderabad, India and the London School of Hygiene and Tropical Medicine, UK. Meta-data and data collection instruments will be published on the APCAPS website alongside details of existing APCAPS data and the data access process (www.lshtm.ac.uk/research/centres-projects-groups/apcaps).

Diagnostic Accuracy of Mobile Health-Based Audiometry for the Screening of Hearing Loss in Adults: A Systematic Review and Meta-Analysis

Background: Hearing loss is one of the most prevalent chronic health conditions. Traditional pure tone audiometry (PTA) is the gold standard for hearing loss screening, but is not widely available outside specialized clinical centers. Mobile health (mHealth)-based audiometry could improve access and cost-effectiveness, but its diagnostic accuracy varies widely between studies. Therefore, we aimed to evaluate the diagnostic accuracy of mHealth-based audiometry for hearing loss screening in adults compared with traditional PTA. Methods: Ten English and Chinese databases were searched from inception until April 30, 2022. Two researchers independently selected studies, extracted data, and appraised methodological quality. The bivariate random-effects model was adopted to estimate the pooled sensitivity and specificity for each common threshold (i.e., the threshold to define mild or moderate hearing loss). The hierarchical summary receiver operating characteristic model was used to assess the area under the receiver operating characteristic curve (AUC) across all thresholds. Results: Twenty cohort studies were included. Only one study (n = 109) used the mHealth-based speech recognition test (SRT) as the index test. Nineteen studies (n = 1,656) used mHealth-based PTA as the index test, and all of them were included in the meta-analysis. For detecting mild hearing loss, the pooled sensitivity and specificity were 0.91 (95% confidence interval [CI] 0.80-0.96) and 0.90 (95% CI 0.82-0.94), respectively. For detecting moderate hearing loss, the pooled sensitivity and specificity were 0.94 (95% CI 0.87-0.98) and 0.87 (95% CI 0.79-0.93), respectively. For all PTA thresholds, the AUC was 0.96 (95% CI 0.40-1.00). Conclusions: mHealth-based audiometry provided good diagnostic accuracy for screening both mild and moderate hearing loss in adults. Given its high diagnostic accuracy, accessibility, convenience, and cost-effectiveness, it shows enormous potential for hearing loss screening, particularly in primary care sites, low-income regions, and settings with in-person visit limitations. Further work should evaluate the diagnostic accuracy of the mHealth-based SRT tests.

Validation of a tablet-based assessment of auditory sensitivity for researchers

Quantifying hearing acuity is increasingly important across a wide range of research areas in the behavioral and neurosciences. Scientists have relied on either self-reported hearing status or the availability of diagnostic hearing assessment in past studies. There remains a need for a valid and reliable assessment of auditory sensitivity that can provide estimates of the magnitude of hearing loss, if present, without requirements for professional audiologists, facilities, and equipment that are needed to conduct a diagnostic hearing assessment. The goal of this experiment was to validate the NIH Toolbox® Hearing Threshold Test (HTT), a tablet-based hearing assessment available via iPad application that uses consumer-grade headphones, on a clinical sample of children and adults with varying degrees of hearing acuity. Electroacoustic analysis of the hearing assessment application and headphones demonstrated acoustic outputs within established conformity standards for hearing assessment. Twenty-seven children and 63 adults participated in a standard diagnostic hearing assessment and the experimental tablet-based assessment. The results showed that thresholds from the tablet-based assessment were highly correlated with thresholds from the clinical hearing assessment (r = .83-.93) for children and adults for all frequencies and across a range of levels of hearing acuity. The HTT also met clinical test-retest reliability standards (Cronbach's α > .86). The tablet-based hearing assessment provides acceptable estimates of hearing levels for children and adults when diagnostic audiometric assessment capabilities are not available.

Web- and app-based tools for remote hearing assessment: a scoping review

OBJECTIVE

Remote hearing screening and assessment may improve access to, and uptake of, hearing care. This review, the most comprehensive to date, aimed to (i) identify and assess functionality of remote hearing assessment tools on smartphones and online platforms, (ii) determine if assessed tools were also evaluated in peer-reviewed publications and (iii) report accuracy of existing validation data.

DESIGN

Protocol was registered in INPLASY and reported according to PRISMA-Extension for Scoping Reviews.

STUDY SAMPLE

In total, 187 remote hearing assessment tools (using tones, speech, self-report or a combination) and 101 validation studies met the inclusion criteria. Quality, functionality, bias and applicability of each app were assessed by at least two authors.

RESULTS

Assessed tools showed considerable variability in functionality. Twenty-two (12%) tools were peer-reviewed and 14 had acceptable functionality. The validation results and their quality varied greatly, largely depending on the category of the tool.

CONCLUSION

The accuracy and reliability of most tools are unknown. Tone-producing tools provide approximate hearing thresholds but have calibration and background noise issues. Speech and self-report tools are less affected by these issues but mostly do not provide an estimated pure tone audiogram. Predicting audiograms using filtered language-independent materials could be a universal solution.

Hearing Screening Alternative Using a Website-Based Application

BACKGROUND AND OBJECTIVES

Indonesians encounter several barriers to regular functional hearing assessment. Hearing loss screening is only provided by tertiary-care hospitals that are not reachable by people in remote regions. This study aimed to develop a website-based hearing screening application that is accessible and inexpensive. Subjects and.

METHODS

This comparative study was conducted between July and August 2022 in the Otolaryngology Clinic of Muhammadiyah Bandung Hospital with noise levels below 50 dB. The hearing screening was conducted using a website-based application (www.Screenout.id) and audiogram as the gold standard method. On ScreenOut, patients heard sounds with frequencies at 500, 1,000, 2,000, 4,000, and 8,000 Hz and sound intensity of each frequency at 35, 55, and 75 dB using earphones.

RESULTS

A total of 133 participants were enrolled in our study. ScreenOut showed high sensitivity, specificity, accuracy, positive predictive value, and negative predictive value (90.9%, 98.9%, 93.6%, 99.4%, and 84.8%, respectively). Regarding hearing threshold, a very strong correlation was found between ScreenOut and audiogram, ranging between r=0.843 and r=0.899. Aside from that, there was no significant difference in hearing threshold values between ScreenOut and audiogram.

CONCLUSIONS

Many advantages of the ScreenOut were found, including low-cost, accessibility, and easy-to-use interface, making it favorably used in low-middle-income countries such as Indonesia.

Self-assessment of bone conduction hearing threshold using mobile audiometry: comparison with pure tone audiometry

OBJECTIVE

The aim of the research was to evaluate the feasibility of measuring the bone conduction hearing threshold using self-administered mobile audiometry.

DESIGN

A single-centre, closed, cross-over trial was carried out on patients from the ENT Department. A mobile-based, self-administered, audiologist-assisted assessment of the bone conduction hearing threshold was carried out by means of the open-access, freeware app Hearing Test using two types of bone conduction headphones: professional B71 bone transducer and commercially available AfterShokz Openmove open-ear headphones.

STUDY SAMPLE

Seventy-seven ears.

RESULTS

A test-retest examination revealed the lowest standard deviation for open-ear headphones at 3.33 dB (95% CI 2.92-3.79). When compared with pure tone audiometry, the intraclass correlations of 0.95 (95% CI 0.94-0.96) and 0.90 (95% CI 0.88-0.92) were obtained for the bone transducer and for the open-ear headphones, indicating excellent and good reliability, respectively. However, the regression slope of 0.67 was found for the air-bone gap when using open ear headphones, which was significantly different from 1 (p < 0.001).

CONCLUSIONS

Open-ear headphones provide an alternative for estimating bone conduction once the air-bone gap has been adjusted by a factor of 1/0.6 7 ≅1.5. They demonstrate improved reproducibility over the bone transducer and are much easier to use with a mobile device. Trial Registration: Wroclaw Medical University, Science Support Centre, BW60/2020.

Evaluating the hearing screening effectiveness of active noise cancellation technology among young adults: A pilot study

BACKGROUND

The population of young adults who are hearing impaired increases yearly, and a device that enables convenient hearing screening could help monitor their hearing. However, background noise is a critical issue that limits the capabilities of such a device. Therefore, this study evaluated the effectiveness of commercial active noise cancellation (ANC) headphones for hearing screening applications in the presence of background noise. In particular, six confounders were used for a comprehensive evaluation.

METHODS

We enrolled 12 young adults (a total of 23 ears with normal hearing) to participate in this study. A cross-sectional self-controlled study was conducted to explore the effectiveness of hearing screening in the presence of background noise, with a total of 240 test conditions (=3 ANC models × 2 ANC function statuses × 2 noise types × 5 noise levels × 4 frequencies) for each test ear. Subsequently, a linear regression model was used to prove the effectiveness of ANC headphones for hearing screening applications in the presence of background noise with six confounders.

RESULTS

The experimental results showed that, on average, the ANC function of headphones can improve the effectiveness of hearing screening tasks in the presence of background noise. Specifically, the statistical analysis showed that the ANC function enabled a significant 10% improvement ( p < 0.001) compared with no ANC function.

CONCLUSION

This study confirmed the effectiveness of ANC headphones for young adult hearing screening applications in the presence of background noise. Furthermore, the statistical results confirmed that as confounding variables, noise type, noise level, hearing screening frequency, ANC headphone model, and sex all affect the effectiveness of the ANC function. These findings suggest that ANC is a potential means of helping users obtain high-accuracy hearing screening results in the presence of background noise. Moreover, we present possible directions of development for ANC headphones in future studies.

Virtual audiometric testing using smartphone mobile applications to detect hearing loss

Objective

The COVID-19 pandemic drove the need for remote audiometric testing in the form of mobile applications for hearing assessment. This study sought to determine the accuracy of two smartphone-based hearing assessment applications, Mimi and uHear, against the gold standard of in-clinic audiometric testing.

Methods

One hundred patients that presented to clinic for hearing assessment were randomly assigned to take either the Mimi or uHear hearing test alongside standard audiometric testing. Hearing thresholds measured using mobile applications were compared to those from audiometric testing to assess validity. Patient satisfaction was measured using a questionnaire that queried if the app met the user's need, if they would recommend the app to others, and how likely they were to use the app again.

Results

Using Mimi, there were no differences in average hearing levels measured at any frequency when compared to standard audiometric testing. uHear overestimated hearing loss at 500 and 1000 Hz (p < .001 for both) by 5-10 Hz, and underestimated hearing loss at 6000 Hz (p < .001) by 5-10 Hz compared to standard audiometric testing. When stratified by level of hearing impairment, uHear overestimated impairment in those with normal hearing (p < .001). Mimi had higher sensitivity (0.971) and specificity (0.912) for hearing loss (defined as a pure tone average for 500, 1000, 2000, and 4000 Hz greater than 25 dB) than uHear (0.914 and 0.780, respectively). However, uHear outranked Mimi on all three questions in the satisfaction questionnaire (p = .01, p = .03, and p = .02, respectively).

Conclusion

Mimi appears to be a reasonable substitute for standard audiometric testing when individuals cannot present to clinic for gold standard testing; however, the Mimi user experience can be improved.

Level of evidence

Level II.

Objective Signal Analysis for Investigating Feasibility of Active Noise Cancellation in Hearing Screening

With the development of active noise cancellation (ANC) technology, ANC has been used to mitigate the effects of environmental noise on audiometric results. However, objective evaluation methods supporting the accuracy of audiometry for ANC exposure to different levels of noise have not been reported. Accordingly, the audio characteristics of three different ANC headphone models were quantified under different noise conditions and the feasibility of ANC in noisy environments was investigated. Steady (pink noise) and non-steady noise (cafeteria babble noise) were used to simulate noisy environments. We compared the integrity of pure-tone signals obtained from three different ANC headphone models after processing under different noise scenarios and analyzed the degree of ANC signal correlation based on the Pearson correlation coefficient compared to pure-tone signals in quiet. The objective signal correlation results were compared with audiometric screening results to confirm the correspondence. Results revealed that ANC helped mitigate the effects of environmental noise on the measured signal and the combined ANC headset model retained the highest signal integrity. The degree of signal correlation was used as a confidence indicator for the accuracy of hearing screening in noise results. It was found that the ANC technique can be further improved for more complex noisy environments.

Telehealth solutions for assessing auditory outcomes related to noise and ototoxic exposures in clinic and research

Nearly 1.5 billion people globally have some decline in hearing ability throughout their lifetime. Many causes for hearing loss are preventable, such as that from exposure to noise and chemicals. According to the World Health Organization, nearly 50% of individuals 12-25 years old are at risk of hearing loss due to recreational noise exposure. In the occupational setting, an estimated 16% of disabling hearing loss is related to occupational noise exposure, highest in developing countries. Ototoxicity is another cause of acquired hearing loss. Audiologic assessment is essential for monitoring hearing health and for the diagnosis and management of hearing loss and related disorders (e.g., tinnitus). However, 44% of the world's population is considered rural and, consequently, lacks access to quality hearing healthcare. Therefore, serving individuals living in rural and under-resourced areas requires creative solutions. Conducting hearing assessments via telehealth is one such solution. Telehealth can be used in a variety of contexts, including noise and ototoxic exposure monitoring, field testing in rural and low-resource settings, and evaluating auditory outcomes in large-scale clinical trials. This overview summarizes current telehealth applications and practices for the audiometric assessment, identification, and monitoring of hearing loss.

Analytical methods for evaluating reliability and validity of mobile audiometry tools

Statistical approaches that could be used as standardized methodology for evaluating reliability and validity of data obtained using remote audiometry are proposed. Using data from the Nurses' Health Study II (n = 31), the approaches to evaluate the reliability and validity of hearing threshold measurements obtained by a self-administered iPhone-based hearing assessment application (Decibel Therapeutics, Inc., Boston, MA) compared with measurements obtained by clinical (soundbooth) audiometry are described. These approaches use mixed-effects models to account for multilevel correlations, intraclass correlation coefficients (ICCs) of single and averaged measurements, and regression techniques with the generalized estimating equations (GEEs) to account for between-ear correlations. Threshold measurements obtained using the iPhone application were moderately reliable. The reliability was improved substantially by averaging repeated measurements; good reliability was achieved by averaging three repeated measurements. In the linear regression analyses that assessed validity, the range of intercepts (2.3-8.4) and range of slopes (0.4-0.7) indicated that the measurements from the application were likely biased from those obtained by clinical audiometry. When evaluating alternative hearing assessment tools, it is recommended to assess reliability through mixed-effects models and use ICCs to determine the number of repeated assessments needed to achieve satisfactory reliability. When evaluating validity, GEE methods are recommended to estimate regression coefficients.

The audiogram: Detection of pure-tone stimuli in ototoxicity monitoring and assessments of investigational medicines for the inner ear

Pure-tone thresholds have long served as a gold standard for evaluating hearing sensitivity and documenting hearing changes related to medical treatments, toxic or otherwise hazardous exposures, ear disease, genetic disorders involving the ear, and deficits that develop during aging. Although the use of pure-tone audiometry is basic and standard, interpretation of thresholds obtained at multiple frequencies in both ears over multiple visits can be complex. Significant additional complexity is introduced when audiometric tests are performed within ototoxicity monitoring programs to determine if hearing loss occurs as an adverse reaction to an investigational medication and during the design and conduct of clinical trials for new otoprotective agents for noise and drug-induced hearing loss. Clinical trials using gene therapy or stem cell therapy approaches are emerging as well with audiometric outcome selection further complicated by safety issues associated with biological therapies. This review addresses factors that must be considered, including test-retest variability, significant threshold change definitions, use of ototoxicity grading scales, interpretation of early warning signals, measurement of notching in noise-induced hearing loss, and application of age-based normative data to interpretation of pure-tone thresholds. Specific guidance for clinical trial protocols that will assure rigorous methodological approaches and interpretable audiometric data are provided.

COVID-19 and the resurgence of telehealth in otolaryngology

The objective of this review is to examine the impact of the ongoing Coronavirus disease 2019 (COVID-19) pandemic on the use of telehealth in Otolaryngology. The use of telemedicine rose dramatically during the pandemic to meet the need for continued patient care while allowing for physical separation of providers and patients. Telemedicine has been used to evaluate patients with a variety of pathologies including dysphonia, vertigo, and anosmia. Innovative use of at-home exams, such as video-otoscopy has aided providers in overcoming challenges associated with a highly specialized physical exam. The use of telemedicine in Otolaryngology will likely remain essential in the post-pandemic era and has promising results for improving clinical efficiency.

Test Your Health at Home: Comparing Online Screening Tests of Hearing, Cognition, and Cardiovascular Health

PURPOSE

The purpose of this study was to investigate the extent to which validated online screening measures of cognitive impairment, psychosocial well-being, and cardiovascular health are associated with a validated hearing screener in a sample of adults based in the United Kingdom.

METHOD

Sixty-one adults (43 female; M _age = 44.7 years) participated in a cross-sectional study delivered remotely. Participants completed the hearWHO smartphone application, a digits-in-noise hearing screener, and the Modified Telephone Interview for Cognitive Status (TICS-M), a screening tool for cognitive impairment. Psychosocial well-being (social isolation and loneliness) and cardiovascular health were assessed through self-report.

RESULTS

Separate independent analyses of variance, with age, gender, and education as covariates, demonstrated participants who failed the hearWHO screener had poorer scores on the TICS-M, engaged in less physical activity, and reported more sedentary behavior and greater social isolation. Multivariate regression analyses revealed that lower TICS-M scores, having obtained less education, identifying as female, and reporting greater sedentary behavior and social isolation were the strongest predictors of lower hearWHO scores.

CONCLUSIONS

The results from this study suggest that poorer hearing, as measured by the hearWHO screener, is independently associated with having worse cognitive function, more time spent being sedentary, and greater social isolation. Thus, this study demonstrates the potential of online screening measures to identify additional health conditions that confer risk to chronic disease as hearing loss manifests. This could help to inform the development of tailored treatment and support to improve an individual's readiness to seek help for and manage both their general and hearing health.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.19251956.

Understanding degraded speech leads to perceptual gating of a brainstem reflex in human listeners

The ability to navigate "cocktail party" situations by focusing on sounds of interest over irrelevant, background sounds is often considered in terms of cortical mechanisms. However, subcortical circuits such as the pathway underlying the medial olivocochlear (MOC) reflex modulate the activity of the inner ear itself, supporting the extraction of salient features from auditory scene prior to any cortical processing. To understand the contribution of auditory subcortical nuclei and the cochlea in complex listening tasks, we made physiological recordings along the auditory pathway while listeners engaged in detecting non(sense) words in lists of words. Both naturally spoken and intrinsically noisy, vocoded speech-filtering that mimics processing by a cochlear implant (CI)-significantly activated the MOC reflex, but this was not the case for speech in background noise, which more engaged midbrain and cortical resources. A model of the initial stages of auditory processing reproduced specific effects of each form of speech degradation, providing a rationale for goal-directed gating of the MOC reflex based on enhancing the representation of the energy envelope of the acoustic waveform. Our data reveal the coexistence of 2 strategies in the auditory system that may facilitate speech understanding in situations where the signal is either intrinsically degraded or masked by extrinsic acoustic energy. Whereas intrinsically degraded streams recruit the MOC reflex to improve representation of speech cues peripherally, extrinsically masked streams rely more on higher auditory centres to denoise signals.

Digital Technology for Remote Hearing Assessment—Current Status and Future Directions for Consumers

Globally, more than 1.5 billion people have hearing loss. Unfortunately, most people with hearing loss reside in low- and middle-income countries (LMICs) where traditional face-to-face services rendered by trained health professionals are few and unequally dispersed. The COVID-19 pandemic has further hampered the effectiveness of traditional service delivery models to provide hearing care. Digital health technologies are strong enablers of hearing care and can support health delivery models that are more sustainable. The convergence of advancing technology and mobile connectivity is enabling new ways of providing decentralized hearing services. Recently, an abundance of digital applications that offer hearing tests directly to the public has become available. A growing body of evidence has shown the ability of several approaches to provide accurate, accessible, and remote hearing assessment to consumers. Further effort is needed to promote greater accuracy across a variety of test platforms, improve sensitivity to ear disease, and scale up hearing rehabilitation, especially in LMICs.

Using Machine Learning and the National Health and Nutrition Examination Survey to Classify Individuals With Hearing Loss

Even before the COVID-19 pandemic, there was mounting interest in remote testing solutions for audiology. The ultimate goal of such work was to improve access to hearing healthcare for individuals that might be unable or reluctant to seek audiological help in a clinic. In 2015, Diane Van Tasell patented a method for measuring an audiogram when the precise signal level was unknown (patent US 8,968,209 B2). In this method, the slope between pure-tone thresholds measured at 2 and 4 kHz is calculated and combined with questionnaire information in order to reconstruct the most likely audiograms from a database of options. An approach like the Van Tasell method is desirable because it is quick and feasible to do in a patient's home where exact stimulus levels are unknown. The goal of the present study was to use machine learning to assess the effectiveness of such audiogram-estimation methods. The National Health and Nutrition Examination Survey (NHANES), a database of audiologic and demographic information, was used to train and test several machine learning algorithms. Overall, 9,256 cases were analyzed. Audiometric data were classified using the Wisconsin Age-Related Hearing Impairment Classification Scale (WARHICS), a method that places hearing loss into one of eight categories. Of the algorithms tested, a random forest machine learning algorithm provided the best fit with only a few variables: the slope between 2 and 4 kHz; gender; age; military experience; and self-reported hearing ability. Using this method, 54.79% of the individuals were correctly classified, 34.40% were predicted to have a milder loss than measured, and 10.82% were predicted to have a more severe loss than measured. Although accuracy was low, it is unlikely audibility would be severely affected if classifications were used to apply gains. Based on audibility calculations, underamplification still provided sufficient gain to achieve ~95% correct (Speech Intelligibility Index ≥ 0.45) for sentence materials for 88% of individuals. Fewer than 1% of individuals were overamplified by 10 dB for any audiometric frequency. Given these results, this method presents a promising direction toward remote assessment; however, further refinement is needed before use in clinical fittings.

Pediatric Hearing Loss Management in the COVID-19 Era: Possible Consequences and Resources for the Next Future

Pediatric hearing loss early diagnosis and treatment have been limited by the current restrictions due to the coronavirus disease 2019 pandemic. The difficulty in accessing the multiple facilities required for the rehabilitative process is influencing the timing of each step of the process. Auditory hearing screening programs, etiological characterization, surgical timing, and speech therapies have all been limited in the past year. The current conditions have forced us to adopt different strategies to overcome the necessary social distancing prescriptions. Although their efficacy should be proved over time, some of these resources will be probably useful even in a nonpandemic future.