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Technology and Health Care : Official... 2024The speech reception threshold (SRT), synonymous with the speech recognition threshold, denotes the minimum hearing level required for an individual to discern 50% of...
BACKGROUND
The speech reception threshold (SRT), synonymous with the speech recognition threshold, denotes the minimum hearing level required for an individual to discern 50% of presented speech material. This threshold is measured independently in each ear with a repetitive up-down adjustment of stimulus level starting from the initial SRT value derived from pure tone thresholds (PTTs), measured via pure-tone audiometry (PTA). However, repetitive adjustments in the test contributes to increased fatigue for both patients and audiologists, compromising the reliability of the hearing tests.
OBJECTIVE
Determining the first (initial) sound level closer to the finally determined SRT value, is important to reduce the number of repetitions. The existing method to determine the initial sound level is to average the PTTs called pure tone average (PTAv).
METHODS
We propose a novel method using a machine learning approach to estimate a more optimal initial sound level for the SRT test. Specifically, a convolutional neural network with 1-dimensional filters (1D CNN) was implemented to predict a superior initial level than the conventional methods.
RESULTS
Our approach produced a reduction of 37.92% in the difference between the initial stimulus level and the final SRT value.
CONCLUSIONS
This outcome substantiates that our approach can reduce the repetitions for finding the final SRT, and, as the result, the hearing test time can be reduced.
Topics: Humans; Speech Reception Threshold Test; Audiometry, Pure-Tone; Adult; Male; Female; Machine Learning; Reproducibility of Results; Auditory Threshold; Neural Networks, Computer; Speech Perception
PubMed: 38759049
DOI: 10.3233/THC-248017 -
American Journal of Audiology May 2024Audiological services are underused, possibly because patients need to drive long distances to see a provider. In this study, we measured the association of drive times...
PURPOSE
Audiological services are underused, possibly because patients need to drive long distances to see a provider. In this study, we measured the association of drive times to the nearest audiologist with population density, income, ethnicity, race, and distance to the nearest audiology graduate program.
METHOD
Drive times for each census block group to the nearest audiologist were measured using census data, the National Provider Identifier Registry, and a geographic analyzing tool called ArcGIS for all block groups within the United States. The association between drive times and population density, income, ethnicity, race, and audiology program distance was evaluated with a population density-matched case-control study and multiple linear regression analyses.
RESULTS
Approximately 5.29 million Americans need to drive at least 1 hr to visit their closest audiologist. The 10% most rural-dwelling Americans drive an average of 33.8 min. The population density-matched case-control study demonstrated that percent below poverty, percent identifying as Hispanic, and travel times to the nearest audiology program were all significantly higher in census block groups with high drive times to the nearest audiologist. An average of 7.96% of individuals in census block groups with low drive times identified as Hispanic, but 18.8% identified as Hispanic in high drive time groups. The multiple linear regression showed that the effect of demographics and distance to the nearest audiology program was highest in rural areas. In both analyses, adjusting for poverty did not drastically change the effect of percent identifying as Hispanic on drive times.
CONCLUSIONS
Long drive times restrict access to audiological care for those who live in rural areas. This restriction disproportionately affects those in rural areas who identify as Hispanic or have low income.
PubMed: 38758682
DOI: 10.1044/2024_AJA-23-00279 -
The Cochrane Database of Systematic... May 2024Global Burden of Disease studies identify hearing loss as the third leading cause of years lived with a disability. Their estimates point to large societal and... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Global Burden of Disease studies identify hearing loss as the third leading cause of years lived with a disability. Their estimates point to large societal and individual costs from unaddressed hearing difficulties. Workplace noise is an important modifiable risk factor; if addressed, it could significantly reduce the global burden of disease. In practice, providing hearing protection devices (HPDs) is the most common intervention to reduce noise exposure at work. However, lack of fit of HPDs, especially earplugs, can greatly limit their effectiveness. This may be the case for 40% of users. Testing the fit and providing instructions to improve noise attenuation might be effective. In the past two decades, hearing protection fit-test systems have been developed and evaluated in the field. They are called field attenuation estimation systems. They measure the noise attenuation obtained by individual workers using HPDs. If there is a lack of fit, instruction for better fit is provided, and may lead to better noise attenuation obtained by HPDs.
OBJECTIVES
To assess: (1) the effects of field attenuation estimation systems and associated training on the noise attenuation obtained by HPDs compared to no instruction or to less instruction in workers exposed to noise; and (2) whether these interventions promote adherence to HPD use.
SEARCH METHODS
We used CENTRAL, MEDLINE, five other databases, and two trial registers, together with reference checking, citation searching, and contact with study authors to identify studies. We imposed no language or date restrictions. The latest search date was February 2024.
SELECTION CRITERIA
We included randomised controlled trials (RCTs), cluster-RCTs, controlled before-after studies (CBAs), and interrupted time-series studies (ITSs) exploring HPD fit testing in workers exposed to noise levels of more than 80 A-weighted decibels (or dBA) who use hearing protection devices. The unit 'dBA' reports on the use of a frequency-weighting filter to adjust sound measurement results to better reflect how human ears process sound. The outcome noise attenuation had to be measured either as a personal attenuation rating (PAR), PAR pass rate, or both. PAR pass rate is the percentage of workers who passed a pre-established level of sufficient attenuation from their HPDs, identified on the basis of their individual noise exposure.
DATA COLLECTION AND ANALYSIS
Two review authors independently assessed study eligibility, risk of bias, and extracted data. We categorised interventions as fit testing of HPDs with instructions at different levels (no instructions, simple instructions, and extensive instructions).
MAIN RESULTS
We included three RCTs (756 participants). We did not find any studies that examined whether fit testing and training contributed to hearing protector use, nor any studies that examined whether age, gender, or HPD experience influenced attenuation. We would have included any adverse effects if mentioned by the trial authors, but none reported them. None of the included studies blinded participants; two studies blinded those who delivered the intervention. Effects of fit testing of HPDs with instructions (simple or extensive) versus fit testing of HPDs without instructions Testing the fit of foam and premoulded earplugs accompanied by simple instructions probably does not improve their noise attenuation in the short term after the test (1-month follow-up: mean difference (MD) 1.62 decibels (dB), 95% confidence interval (CI) -0.93 to 4.17; 1 study, 209 participants; 4-month follow-up: MD 0.40 dB, 95% CI -2.28 to 3.08; 1 study, 197 participants; both moderate-certainty evidence). The intervention probably does not improve noise attenuation in the long term (MD 0.15 dB, 95% CI -3.44 to 3.74; 1 study, 103 participants; moderate-certainty evidence). Fit testing of premoulded earplugs with extensive instructions on the fit of the earplugs may improve their noise attenuation at the immediate retest when compared to fit testing without instructions (MD 8.34 dB, 95% CI 7.32 to 9.36; 1 study, 100 participants; low-certainty evidence). Effects of fit testing of HPDs with extensive instructions versus fit testing of HPDs with simple instructions Fit testing of foam earplugs with extensive instructions probably improves their attenuation (MD 8.62 dB, 95% CI 6.31 to 10.93; 1 study, 321 participants; moderate-certainty evidence) and also the pass rate of sufficient attenuation (risk ratio (RR) 1.75, 95% CI 1.44 to 2.11; 1 study, 321 participants; moderate-certainty evidence) when compared to fit testing with simple instructions immediately after the test. This is significant because every 3 dB decrease in noise exposure level halves the sound energy entering the ear. No RCTs reported on the long-term effectiveness of the HPD fit testing with extensive instructions.
AUTHORS' CONCLUSIONS
HPD fit testing accompanied by simple instructions probably does not improve noise attenuation from foam and premoulded earplugs. Testing the fit of foam and premoulded earplugs with extensive instructions probably improves attenuation and PAR pass rate immediately after the test. The effects of fit testing associated with training to improve attenuation may vary with types of HPDs and training methods. Better-designed trials with larger sample sizes are required to increase the certainty of the evidence.
Topics: Humans; Ear Protective Devices; Noise, Occupational; Hearing Loss, Noise-Induced; Randomized Controlled Trials as Topic; Occupational Exposure; Occupational Diseases
PubMed: 38757544
DOI: 10.1002/14651858.CD015066.pub2 -
Clinical Otolaryngology : Official... May 2024Pure tone audiometry has played a critical role in audiology as the initial diagnostic tool, offering vital insights for subsequent analyses. This study aims to develop...
OBJECTIVE
Pure tone audiometry has played a critical role in audiology as the initial diagnostic tool, offering vital insights for subsequent analyses. This study aims to develop a robust deep learning framework capable of accurately classifying audiograms across various commonly encountered tasks.
DESIGN, SETTING, AND PARTICIPANTS
This single-centre retrospective study was conducted in accordance with the STROBE guidelines. A total of 12 518 audiograms were collected from 6259 patients aged between 4 and 96 years, who underwent pure tone audiometry testing between February 2018 and April 2022 at Tongji Hospital, Tongji Medical College, Wuhan, China. Three experienced audiologists independently annotated the audiograms, labelling the hearing loss in degrees, types and configurations of each audiogram.
MAIN OUTCOME MEASURES
A deep learning framework was developed and utilised to classify audiograms across three tasks: determining the degrees of hearing loss, identifying the types of hearing loss, and categorising the configurations of audiograms. The classification performance was evaluated using four commonly used metrics: accuracy, precision, recall and F1-score.
RESULTS
The deep learning method consistently outperformed alternative methods, including K-Nearest Neighbors, ExtraTrees, Random Forest, XGBoost, LightGBM, CatBoost and FastAI Net, across all three tasks. It achieved the highest accuracy rates, ranging from 96.75% to 99.85%. Precision values fell within the range of 88.93% to 98.41%, while recall values spanned from 89.25% to 98.38%. The F1-score also exhibited strong performance, ranging from 88.99% to 98.39%.
CONCLUSIONS
This study demonstrated that a deep learning approach could accurately classify audiograms into their respective categories and could contribute to assisting doctors, particularly those lacking audiology expertise or experience, in better interpreting pure tone audiograms, enhancing diagnostic accuracy in primary care settings, and reducing the misdiagnosis rate of hearing conditions. In scenarios involving large-scale audiological data, the automated classification system could be used as a research tool to efficiently provide a comprehensive overview and statistical analysis. In the era of mobile audiometry, our deep learning framework can also help patients quickly and reliably understand their self-tested audiograms, potentially encouraging timely consultations with audiologists for further evaluation and intervention.
PubMed: 38745553
DOI: 10.1111/coa.14170 -
International Journal of Audiology May 2024Some adults experience challenges in successfully communicating their listening difficulties to their audiologist, and report feeling that they are not always listened...
OBJECTIVES
Some adults experience challenges in successfully communicating their listening difficulties to their audiologist, and report feeling that they are not always listened to or understood. This project examined adults' recollections of discussions with their audiologist to explore (1) how adults report describing their listening difficulties and (2) information that adults report they do not communicate, or do not communicate successfully, to their audiologist.
DESIGN
Individual semi-structured interviews were conducted. Interview transcripts were analysed using a template analysis approach.
STUDY SAMPLE
Fifteen adults who self-report listening difficulties, and who had previously consulted an audiologist.
RESULTS
Four themes were identified from adults' recollections of how they describe their listening difficulties: (1) situation or context of listening difficulties, (2) behavioural responses, (3) impacts of listening difficulties and (4) contributing factors. Adults report not always successfully communicating (1) emotional concerns and impacts, (2) descriptions of sound quality and (3) descriptions of changed listening experiences.
CONCLUSION
Results provide insights about the times when adults feel that communication with their audiologist is successful, or unsuccessful. The results are useful for informing interventions to help adults and audiologists communicate more effectively together. To further inform interventions, factors affecting adults' communication should be explored.
PubMed: 38739207
DOI: 10.1080/14992027.2024.2351033 -
JMIR Medical Education Apr 2024Artificial intelligence (AI) chatbots, such as ChatGPT-4, have shown immense potential for application across various aspects of medicine, including medical education,... (Observational Study)
Observational Study
Exploring the Performance of ChatGPT-4 in the Taiwan Audiologist Qualification Examination: Preliminary Observational Study Highlighting the Potential of AI Chatbots in Hearing Care.
BACKGROUND
Artificial intelligence (AI) chatbots, such as ChatGPT-4, have shown immense potential for application across various aspects of medicine, including medical education, clinical practice, and research.
OBJECTIVE
This study aimed to evaluate the performance of ChatGPT-4 in the 2023 Taiwan Audiologist Qualification Examination, thereby preliminarily exploring the potential utility of AI chatbots in the fields of audiology and hearing care services.
METHODS
ChatGPT-4 was tasked to provide answers and reasoning for the 2023 Taiwan Audiologist Qualification Examination. The examination encompassed six subjects: (1) basic auditory science, (2) behavioral audiology, (3) electrophysiological audiology, (4) principles and practice of hearing devices, (5) health and rehabilitation of the auditory and balance systems, and (6) auditory and speech communication disorders (including professional ethics). Each subject included 50 multiple-choice questions, with the exception of behavioral audiology, which had 49 questions, amounting to a total of 299 questions.
RESULTS
The correct answer rates across the 6 subjects were as follows: 88% for basic auditory science, 63% for behavioral audiology, 58% for electrophysiological audiology, 72% for principles and practice of hearing devices, 80% for health and rehabilitation of the auditory and balance systems, and 86% for auditory and speech communication disorders (including professional ethics). The overall accuracy rate for the 299 questions was 75%, which surpasses the examination's passing criteria of an average 60% accuracy rate across all subjects. A comprehensive review of ChatGPT-4's responses indicated that incorrect answers were predominantly due to information errors.
CONCLUSIONS
ChatGPT-4 demonstrated a robust performance in the Taiwan Audiologist Qualification Examination, showcasing effective logical reasoning skills. Our results suggest that with enhanced information accuracy, ChatGPT-4's performance could be further improved. This study indicates significant potential for the application of AI chatbots in audiology and hearing care services.
Topics: Humans; Taiwan; Artificial Intelligence; Audiologists; Audiology; Educational Measurement; Male; Clinical Competence; Female
PubMed: 38693697
DOI: 10.2196/55595 -
International Journal of Audiology May 2024We aimed to explore (i) what adults with hearing difficulties want and need from hearables, which we defined as any non-medical personal sound amplification product, and...
OBJECTIVE
We aimed to explore (i) what adults with hearing difficulties want and need from hearables, which we defined as any non-medical personal sound amplification product, and (ii) what hearing care professionals think about hearables.
DESIGN
This was an exploratory, qualitative study conducted using separate focus groups with adults with hearing difficulties and audiologists. Data were analysed inductively using reflexive thematic analysis.
STUDY SAMPLE
Participants were 12 adults with hearing difficulties and 6 audiologists.
RESULTS
Adults with hearing difficulties expressed desire for trustworthy information and support, described evaluating hearables and other devices according to diverse personal criteria, and expressed willingness to vary their budget according to product quality. Audiologists expressed views that hearables are an inferior product but useful tool, that it is not necessarily their role to assist with hearables, that hearables are a source of uncertainty, and that the provision of hearables by audiologists is not currently practical.
CONCLUSION
Adults with hearing difficulties may have complex reasons for considering hearables and may desire a high level of clinical support in this area. Ongoing research into the efficacy and effectiveness of hearables is needed together with research into effective strategies to incorporate hearables into clinical practice.
PubMed: 38690770
DOI: 10.1080/14992027.2024.2341973 -
Journal of Multidisciplinary Healthcare 2024Stickler Syndromes are multisystem collagenopathies affecting 1 in 7500-9000 individuals and are associated with craniofacial, ocular, auditory, and musculoskeletal...
PURPOSE
Stickler Syndromes are multisystem collagenopathies affecting 1 in 7500-9000 individuals and are associated with craniofacial, ocular, auditory, and musculoskeletal complications. Prophylactic retinopexy treatment reduces the risk of retinal detachment, emphasising the need for early detection and multidisciplinary referral. This study evaluated knowledge and awareness of Stickler Syndromes among allied health professionals and their perceived needs for targeted education to improve multidisciplinary care.
METHODS
A cross-sectional survey was undertaken among audiologists, speech pathologists, optometrists, orthoptists, and physiotherapists in Australia. Survey questions included practitioner demographics, awareness and knowledge of Stickler Syndromes, confidence managing Stickler Syndromes, and perception of multidisciplinary care needs for Stickler Syndromes.
RESULTS
Of 180 healthcare professions who participated (79% female; 78% aged between 25 and 44 years), 55% indicated that they had heard of Stickler Syndrome, and 14% had directly worked with patients known to have Stickler Syndromes. Practitioners who had were either optometrists, orthoptists, or audiologists. The most recognised clinical sign of Stickler Syndromes was retinal detachment (selected by 66% of optometrists and orthoptists and 16% of other professions), but only 41% of optometrists and orthoptists (27% all respondents) selected cryopexy as a potential management strategy. Vitreous anomaly was recognised as a clinical feature by 20% of all respondents. Overall, 69% of allied health professionals did not feel confident managing Stickler Syndromes, and a similar number of practitioners (69%) indicated that they were willing to attend professional development courses for complex conditions such as Stickler Syndromes.
CONCLUSION
This study provides meaningful insights on awareness and knowledge of Stickler Syndromes among allied healthcare professionals. Targeted clinician education, enhanced communication between healthcare entities, and multidisciplinary care programs can significantly improve the integrated care of Stickler Syndromes leading to better patient outcomes.
PubMed: 38680875
DOI: 10.2147/JMDH.S454428 -
Diagnostics (Basel, Switzerland) Apr 2024Hearing impairment is a global issue, affecting billions of people; however, there is a gap between the population affected by hearing loss and those able to access... (Review)
Review
Hearing impairment is a global issue, affecting billions of people; however, there is a gap between the population affected by hearing loss and those able to access hearing healthcare. Tele-audiology, the application of telemedicine in audiology, serves as a new form of technology which aims to provide synchronous or asynchronous hearing healthcare. In this article, we reviewed some recent studies of tele-audiology-related topics to have a glimpse of the current development, associated challenges, and future advancement. Through the utilization of tele-audiology, patients can conveniently access hearing healthcare, and thus save travel costs and time. Recent studies indicate that remote hearing screening and intervention are non-inferior to the performance of traditional clinical pathways. However, despite its potential benefits, the implementation of tele-audiology faces numerous challenges, and audiologists have varying attitudes on this technology. Overcoming obstacles such as high infrastructure costs, limited reimbursement, and the lack of quality standards calls for concerted efforts to develop effective strategies. Ethical concerns, reimbursement, and patient privacy are all crucial aspects requiring in-depth discussion. Enhancing the education and training of students and healthcare workers, along with providing relevant resources, will contribute to a more efficient, systematic hearing healthcare. Future research will aim to develop integrated models with evidence-based protocols and incorporating AI to enhance the affordability and accessibility of hearing healthcare.
PubMed: 38667501
DOI: 10.3390/diagnostics14080856 -
American Journal of Audiology Jun 2024Cognitive behavioral therapy (CBT) is a key intervention for management of misophonia, hyperacusis, and tinnitus. The aim of this study was to perform a preliminary...
A Preliminary Analysis of the Clinical Effectiveness of Audiologist-Delivered Cognitive Behavioral Therapy Delivered via Video Calls for Rehabilitation of Misophonia, Hyperacusis, and Tinnitus.
PURPOSE
Cognitive behavioral therapy (CBT) is a key intervention for management of misophonia, hyperacusis, and tinnitus. The aim of this study was to perform a preliminary analysis comparing the scores for self-report questionnaires before and after audiologist-delivered CBT via video calls for adults with misophonia, hyperacusis, or tinnitus or a combination of these.
METHOD
This was a retrospective cross-sectional study. The data for 37 consecutive patients who received CBT for misophonia, hyperacusis, or tinnitus from a private institute in the United Kingdom were analyzed. Self-report questionnaires taken as part of routine care were as follows: 4C Questionnaires for tinnitus, hyperacusis, and misophonia (4C-T, 4C-H, and 4C-M, respectively), Tinnitus Impact Questionnaire (TIQ), Hyperacusis Impact Questionnaire (HIQ), Misophonia Impact Questionnaire (MIQ), Sound Sensitivity Symptoms Questionnaire (SSSQ), and Screening for Anxiety and Depression in Tinnitus (SAD-T). Responses were also obtained to other questionnaires related to tinnitus, hyperacusis, insomnia, and anxiety and mood disorders. A linear mixed-model method was used to assess the changes in response to the questionnaires pretreatment and posttreatment.
RESULTS
Pretreatment-posttreatment comparisons showed that scores for the 4C-T, 4C-H, 4C-M, TIQ, HIQ, MIQ, SSSQ, and SAD-T improved, with effect sizes of 1.4, 1.2, 1.3, 2.6, 0.9, 0.7, 0.9, and 1.4, respectively (all < .05).
CONCLUSIONS
This preliminary analysis suggests that CBT via video calls may be effective in reducing the impact of misophonia, hyperacusis, and tinnitus. However, this study did not have a control group, so its results need to be interpreted with caution.
Topics: Humans; Tinnitus; Hyperacusis; Cognitive Behavioral Therapy; Male; Female; Cross-Sectional Studies; Middle Aged; Adult; Retrospective Studies; Treatment Outcome; Aged; Surveys and Questionnaires; Audiologists; Self Report; Young Adult
PubMed: 38651993
DOI: 10.1044/2024_AJA-23-00254