Validity of hearing screening using hearTest smartphone-based audiometry: performance evaluation of different response modes

Validation of a tablet-based application for hearing self-screening in an adult population

OBJECTIVE

This study evaluated the diagnostic performances of a tablet-based hearing screening test by assisted-test and self-test modes.

DESIGN/METHOD

Measurements were performed with the SoTone tests in normal hearing and hearing-impaired adult participants using an Android tablet and calibrated Bluetooth headphones. The duration of assisted- and self-test modes were compared. Receiver operating characteristic (ROC) curves were plotted after calculations of sensitivity and specificity at 20, 30, and 35 dB HL cut-off values.

STUDY SAMPLE

217 participants performed the tests. The effect of test mode (assisted versus self) was compared in a sample of 103 participants.

RESULTS

Self-test duration (89 s) was significantly longer than the assisted-test duration (75 s) (p = 0.003, Wilcoxon test). For the 20, 30, and 35 dB HL cut-off values, sensitivity was between 92% and 96%, and specificity was between 79 and 90%. Concordance of results between assisted-test and self-test modes was excellent (Cohen's kappa = 0.81, p < 0.001).

CONCLUSIONS

The SoTone hearing screening test is accurate for identifying the presence of a suspected hearing loss at 20 dB HL or more in adults. It can be used either in assisted-test or self-test modes.

Hearing Loss Detection and Early Intervention Strategies in Kenya

Background

Thirty-four million children globally have disabling hearing loss, with the highest prevalence in low- and middle-income countries (LMICs). Early identification and management is crucial, yet barriers to screening and treatment of hearing loss are extensive in LMICs. Unaddressed hearing loss negatively impacts individuals and communities. The WHO's 2021 World Report on Hearing urges the development of Ear and Hearing Care (EHC) programs to improve access to all aspects of care, including screening, diagnostics, management, and developmental support. A joint Nairobi- and Seattle-based group convened in 2021 to discuss strategies for program development in Kenya, as presented in this paper.

Findings

Developing a national EHC program must include the necessary support services for a child with a diagnosed hearing loss, while simultaneously promoting engagement of family, community, and healthcare workers. Existing government and healthcare system policies and priorities can be leveraged for EHC programming. Strategies for success include strengthening connections between policymakers at national, county, and municipal levels and local champions for the EHC agenda, with a concurrent focus on policy, early detection and intervention, habilitation, and family-centered care. Updates to health policy and funding to support the accessibility of services and equipment should focus on leveraging national healthcare coverage for hearing technologies and services, strengthening referral pathways, training to bolster the workforce, and metrics for monitoring and evaluation. Additional strategies to support forward progress include strategic engagement of partners and leveraging local partners for phased scale-up.

Conclusions and Recommendations

Recommendations to strengthen EHC within the Kenyan health system include concurrent leverage of existing health policies and priorities, partner engagement, and strengthening referral pathways, monitoring and evaluation, and training. These strategies may be generalized to other countries too.

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.

Preserving the Role of the Audiologist in a Clinical Technology, Consumer Channel, Clinical Service Model of Hearing Healthcare

The past decade has been characterized by significant changes in the distribution and sale of hearing aids. Alternatives to the clinical technology, clinical channel, clinical service (i.e., traditional) hearing healthcare delivery model have been driven by growth in hearing aid dispensaries housed in large retail establishments and direct-to-consumer hearing aid sales by internet-based companies unaffiliated with major hearing aid manufacturers (e.g., Eargo). These developments have been accompanied by acceleration in the growth of teleaudiology services as a direct result of the COVID-19 pandemic. The resulting development of nontraditional hearing aid distribution and sales models can be categorized into distinct archetypes as reviewed earlier in this publication. This article will review the Clinical Technology-Consumer Channel-Clinical Service model as exemplified by Jabra Enhance. We will describe a completely digital model of hearing aid distribution and sales that maintains the professional service component throughout the client journey to include an online tone test, the use of a risk mitigation questionnaire, virtual consultations, remote hearing aid adjustments, and the establishment and monitoring of client-centered treatment goals. Furthermore, this article will review the Jabra Enhance model within the context of consumer healthcare decision-making theory with a focus on the Consumer Decision-Making Model.

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.

Digital vs. physical ear-nose-and-throat specialist assessment screening for complicated hearing loss and serious ear disorders in hearing-impaired adults prior to hearing aid treatment: a randomized controlled trial

Introduction

This study introduces a digital assessment tool for asynchronous and remote ear-nose-and-throat (ENT) specialist assessment screening for complicated hearing loss and serious ear disorders in hearing-impaired adults prior to hearing aid (HA) treatment. The +60 population will nearly double from 12% to 22% between 2015 and 2050 increasing the incidence of age-induced hearing impairment and the need for hearing rehabilitation. If un-diagnosed, age-related hearing loss negatively affects quality of life by accelerating social distancing and early retirement as well as increasing risk of anxiety, depression, and dementia. Therefore, innovative measures are essential to provide timely diagnostics and treatment.

Methods

A total of 751 hearing-impaired adults without previous HA usage or experience were randomly assigned to digital or physical ENT specialist assessment screening prior to HA treatment initiation in 20 public and private hearing rehabilitation and ENT specialist clinics in the North Denmark Region. A total of 501 test group participants were assigned to digital assessment screening and 250 control group participants to physical assessment screening prior to HA treatment.

Results

In all, 658 (88%) participants completed the trial and were eligible for analysis. Digital screening sensitivity (0.85, 95% confidence interval (CI) 0.71-0.94) was significantly higher than physical screening sensitivity (0.2, 95% CI: 0.03-0.56). Screening specificity was high for both assessment methods.

Discussion

In a setting where hearing-impaired adults were assessed for HA treatment, digital ENT specialist assessment screening did not compromise patient safety or increase the risk of misdiagnosis in patients with complicated hearing loss and/or serious ear disorders when compared to physical ENT specialist assessment screening.

Clinical Trial registration

https://clinicaltrials.gov/ct2/show/NCT05154539, identifier: NCT05154539.

Association of Polygenic Risk Scores for Hearing Difficulty in Older Adults With Hearing Loss in Mid-Childhood and Midlife: A Population-Based Cross-sectional Study Within the Longitudinal Study of Australian Children

Importance

Although more than 200 genes have been associated with monogenic congenital hearing loss, the polygenic contribution to hearing decline across the life course remains largely unknown.

Objective

To examine the association of polygenic risk scores (PRSs) for self-reported hearing difficulty among adults (40-69 years) with measured hearing and speech reception abilities in mid-childhood and early midlife.

Design, Setting, and Participants

This was a population-based cross-sectional study nested within the Longitudinal Study of Australian Children that included 1608 children and 1642 adults. Pure tone audiometry, speech reception threshold against noise, and genetic data were evaluated. Linear and logistic regressions of PRSs were conducted for hearing outcomes. Study analysis was performed from March 1 to 31, 2022.

Main Outcomes and Measures

Genotypes were generated from saliva or blood using global single-nucleotide polymorphisms array and PRSs derived from published genome-wide association studies of self-reported hearing difficulty (PRS1) and hearing aid use (PRS2). Hearing outcomes were continuous using the high Fletcher index (mean hearing threshold, 1, 2, and 4 kHz) and speech reception threshold (SRT); and dichotomized for bilateral hearing loss of more than 15 dB HL and abnormal SRT.

Results

Included in the study were 1608 children (mean [SD] age, 11.5 [0.5] years; 812 [50.5%] male children; 1365 [84.9%] European and 243[15.1%] non-European) and 1642 adults (mean [SD] age, 43.7 [5.1] years; 1442 [87.8%] female adults; 1430 [87.1%] European and 212 [12.9%] non-European individuals). In adults, both PRS1 and PRS2 were associated with hearing thresholds. For each SD increment in PRS1 and PRS2, hearing thresholds were 0.4 (95% CI, 0-0.8) decibel hearing level (dB HL) and 0.9 (95% CI, 0.5-1.2) dB HL higher on the high Fletcher index, respectively. Each SD increment in PRS increased the odds of adult hearing loss of more than 15 dB HL by 10% to 30% (OR for PRS1, 1.1; 95% CI, 1.0-1.3; OR for PRS2, 1.3; 95% CI, 1.1-1.5). Similar but attenuated patterns were noted in children (OR for PRS1, 1.1; 95% CI, 0.8-1.2; OR for PRS2, 1.2; 95% CI, 1.0-1.5). Both PRSs showed minimal evidence of associations with speech reception thresholds or abnormal SRT in children or adults.

Conclusions and Relevance

This population-based cross-sectional study of PRSs for self-reported hearing difficulty among adults found an association with hearing ability in mid-childhood. This adds to the evidence that age-related hearing loss begins as early as the first decade of life and that polygenic inheritance may play a role together with other environmental risk factors.

Accuracy of smartphone-based hearing screening tests: a systematic review

PURPOSE

To verify the accuracy of smartphone apps to identify hearing loss.

RESEARCH STRATEGIES

A systematic review followed the PRISMA-DATA checklist. The search strategies were applied across four databases (Lilacs, PubMed, Scopus and Web of Science) and grey literature (Google Scholar, OpenGrey, and ProQuest Dissertations and Thesis).

SELECTION CRITERIA

The acronym PIRD was used in review. This included populations of any gender and all age groups. The Index test is the smartphone-based hearing screening test; the Reference test is the pure-tone audiometry, which is considered the gold reference for hearing diagnostics; the diagnosis was performed via validity data (sensitivity and specificity) to identify hearing loss and diagnostic studies.

DATA ANALYSIS

Two reviewers selected the studies in a two-step process. The risk of bias was assessed according to the criteria of the QUADAS-2.

RESULTS

Of 1395 articles, 104 articles were eligible for full-text reading and 17 were included. Only four met all criteria for methodological quality. All of the included studies were published in English between 2015 and 2020. The applications Digits-in noise Test (5 articles), uHear (4 articles), HearScreen (2 articles), hearTest (2 articles) and Hearing Test (2 articles) were the most studied. All this application showed sensitivity and specificity values between 75 and 100%. The other applications were EarScale, uHearing Test, Free field hearing (FFH) and Free Hearing Test.

CONCLUSION

uHear, Digit-in-Noise Test, HearTest and HearScreen have shown significant values of sensitivity and specificity and can be considered as the most accurate methods for screening of hearing impairment.

French Version of the Antiphasic Digits-in-Noise Test for Smartphone Hearing Screening

In France 58% of persons with hearing loss still do not wear hearing aids. Pure-tone audiometry is the traditional gold standard in assessment and screening of hearing impairment, but it requires the use of calibrated devices and soundproof booth. The antiphasic digits-in-noise (DIN) test does not require calibrated material and can run on a standard headset or earbuds connected to a smartphone or a computer. The DIN test is highly correlated with pure tone audiometry and has already shown to be effective in hearing loss screening in its English version promoted by the WHO. The aim of the present study was to develop and validate a French version of the antiphasic DIN test for implementation on a national screening test offered as a smartphone app. The audio files recorded from a French native female speaker were selected and normalized in intensity according to their recognition probability. The French DIN test application was then tested on normal hearing- and hearing-impaired subjects. Based on the strong correlation between pure tone audiometry (PTA) and DIN SRT, we calculated ROC curves and Z-score. For PTA > 20 dB HL, a SNR cutoff of 12.9 dB corresponds to a sensitivity and specificity of 0.96 and 0.93, respectively. To detect moderate and more severe hearing loss (PTA > 40 dB HL), the SNR cutoff was -10.9 dB, corresponding to a sensitivity and specificity of 0.99 and 0.83, respectively. The Z-score was calculated to define statistical criteria of normality for speech-in-noise evaluation. While a score of 0 roughly corresponds to the normality (DIN SRT = -15.4 dB SNR), a subject with DIN SRT > -12.2 (Z-score > 2) is ranked in the hearing loss population. Next, the French antiphasic DIN test was implemented in the Höra iOS and Android apps. In total, 19,545 Höra tests were completed and analyzed. Three quarters of them were classified as normal (74 %) and one quarter presented mild (9%) or more severe loss (17%). Together, results argue for the use of the French version of antiphasic DIN test in the general population to improve the screening of hearing-impaired individuals.

Diagnostic Accuracy of Smartphone-Based Audiometry for Hearing Loss Detection: Meta-analysis

Background

Hearing loss is one of the most common disabilities worldwide and affects both individual and public health. Pure tone audiometry (PTA) is the gold standard for hearing assessment, but it is often not available in many settings, given its high cost and demand for human resources. Smartphone-based audiometry may be equally effective and can improve access to adequate hearing evaluations.

Objective

The aim of this systematic review is to synthesize the current evidence of the role of smartphone-based audiometry in hearing assessments and further explore the factors that influence its diagnostic accuracy.

Methods

Five databases—PubMed, Embase, Cochrane Library, Web of Science, and Scopus—were queried to identify original studies that examined the diagnostic accuracy of hearing loss measurement using smartphone-based devices with conventional PTA as a reference test. A bivariate random-effects meta-analysis was performed to estimate the pooled sensitivity and specificity. The factors associated with diagnostic accuracy were identified using a bivariate meta-regression model. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool.

Results

In all, 25 studies with a total of 4470 patients were included in the meta-analysis. The overall sensitivity, specificity, and area under the receiver operating characteristic curve for smartphone-based audiometry were 89% (95% CI 83%-93%), 93% (95% CI 87%-97%), and 0.96 (95% CI 0.93-0.97), respectively; the corresponding values for the smartphone-based speech recognition test were 91% (95% CI 86%-94%), 88% (95% CI 75%-94%), and 0.93 (95% CI 0.90-0.95), respectively. Meta-regression analysis revealed that patient age, equipment used, and the presence of soundproof booths were significantly related to diagnostic accuracy.

Conclusions

We have presented comprehensive evidence regarding the effectiveness of smartphone-based tests in diagnosing hearing loss. Smartphone-based audiometry may serve as an accurate and accessible approach to hearing evaluations, especially in settings where conventional PTA is unavailable.

Digital approaches to automated and machine learning assessments of hearing: a scoping review (Preprint)

Background

Hearing loss affects 1 in 5 people worldwide and is estimated to affect 1 in 4 by 2050. Treatment relies on the accurate diagnosis of hearing loss; however, this first step is out of reach for >80% of those affected. Increasingly automated approaches are being developed for self-administered digital hearing assessments without the direct involvement of professionals.

Objective

This study aims to provide an overview of digital approaches in automated and machine learning assessments of hearing using pure-tone audiometry and to focus on the aspects related to accuracy, reliability, and time efficiency. This review is an extension of a 2013 systematic review.

Methods

A search across the electronic databases of PubMed, IEEE, and Web of Science was conducted to identify relevant reports from the peer-reviewed literature. Key information about each report’s scope and details was collected to assess the commonalities among the approaches.

Results

A total of 56 reports from 2012 to June 2021 were included. From this selection, 27 unique automated approaches were identified. Machine learning approaches require fewer trials than conventional threshold-seeking approaches, and personal digital devices make assessments more affordable and accessible. Validity can be enhanced using digital technologies for quality surveillance, including noise monitoring and detecting inconclusive results.

Conclusions

In the past 10 years, an increasing number of automated approaches have reported similar accuracy, reliability, and time efficiency as manual hearing assessments. New developments, including machine learning approaches, offer features, versatility, and cost-effectiveness beyond manual audiometry. Used within identified limitations, automated assessments using digital devices can support task-shifting, self-care, telehealth, and clinical care pathways.

Evaluation of Remote Check: A Clinical Tool for Asynchronous Monitoring and Triage of Cochlear Implant Recipients

A new Remote Check App permits remote self-testing of hearing function for Nucleus cochlear implant (CI) recipients and enables asynchronous review by their clinician to support patient-management decisions.