Exploring facilitators and barriers for delivering person-centered care in a socio-economically diverse context: Perspectives of speech-language pathologists and audiologists.

OBJECTIVE: The study aimed to explore facilitators and barriers in delivering person-centered care from the perspective of speech-language pathologists and audiologists in a socio- economically diverse workplace across micro, meso, and macro levels. METHOD: A national cross-sectional e-survey was conducted among pooled speech-language pathologists and/or audiologists from South Africa. The e-survey included quantitative components to describe participant demographics which was analysed using descriptive and inferential statistics. The qualitative data was analyzed using metaphor and thematic analysis approaches to describe respondents' perspectives of barriers and facilitators in delivering person-centered care. RESULTS: The e-survey was completed by 63 clinicians (36.5% Audiologists; 36.5% Speech-Language Therapists; 27.0% dually qualified Speech-Language Therapists and Audiologists) mostly between the ages of 26 to 35 years old (33.3%). Respondents were working in various settings including the public sector (41.3%), private sector (44.4%) and in academia (14.3%). Facilitators and barriers were identified within all three systems (macro, meso and micro). The metaphor analysis resulted in six categories: uncertainty of Person centered care; its essential nature; associated challenges; relational aspect; analogies referring to animals; and food-related analogies. Thematic analysis of open-ended questions revealed five barriers, with three relating to micro systems; i) clinician factors, ii) client factors, iii) clinician and client interaction, and two related to factors within the meso system; iv) resources, and v) workplace. Only two themes were identified as facilitators towards PCC, clinician factors (mirco) and workplace factors (meso).' CONCLUSIONS: Insights gained from exploring Speech-Language Pathologists' and Audiologists' perceptions of implementing PCC in a socio-economically diverse setting highlight the need to address contextual (meso and macro systems) and personal (micro system) factors to promote and deliver PCC effectively. Notably, for the public sector, resources emerged as a major concern and barrier on the macro system level. Despite these challenges, the investigation revealed two noteworthy facilitators: clinician factors, at the micro level, and workplace factors, at the meso level. This nuanced understanding emphasizes the necessity of tailored interventions targeting both individual and systemic aspects to enhance the successful implementation of person-centered care. PRACTICAL IMPLICATIONS: Strategies should focus on enhancing clinicians' communication skills, collaboration, and teamwork, as well as addressing resource limitations through the adaptation of tools and implementation of PCC ISO standards.

Smartphone-Facilitated In-Situ Hearing Aid Audiometry for Community-Based Hearing Testing.

OBJECTIVES: Hearing loss prevalence is increasing, with an estimated 2.5 billion people affected globally by 2050. Scalable service delivery models using innovative technologies and task-shifting are World Health Organization priorities to improve access to hearing care, particularly in low- and middle-income countries. Smartphone-facilitated audiometry in the community using hearing aids covered by noise-attenuating ear cups ("in-situ") could support more accessible hearing care when provided by less trained individuals such as community health workers (CHWs). This study aimed to determine the validity of this method for potential hearing aid fitting. Study objectives included determining the maximum permissible ambient noise level (MPANL), inter-device reliability, clinical threshold accuracy, reliability, and performance in real-world settings. DESIGN: Experiment 1: 15 normal-hearing adult participants were evaluated to determine MPANLs for circumaural Peltor 3M earcups covering Lexie Lumen hearing aids with smartphone-facilitated in-situ audiometry. MPANLs were calculated by measuring the difference in attenuation between thresholds obtained with standard headphones and in-situ hearing aids. Experiment 2: Pure-tone frequency and intensity output of 14 same-model Lexie Lumen hearing aids were measured to determine inter-device reliability. Pure-tone stimuli were measured and analyzed to determine sound pressure levels in decibels and pure-tone frequency when connected to a test box 2cc coupler. Experiment 3: 85 adult participants were tested in a sound booth to determine the accuracy of automated in-situ pure-tone audiometry (PTA) compared to clinical PTA (500, 1000, 2000, 3000, 4000, 6000 Hz) facilitated by an audiologist. The first 39 participants were tested twice to determine test-retest reliability. Experiment 4: In a community setting, 144 adult participants were tested with automated in-situ audiometry facilitated by CHWs using a smartphone app. These participants were subsequently tested with automated mobile PTA (500, 1000, 2000, 4000 Hz). An additional 44 participants were tested twice to determine test-retest reliability. RESULTS: Experiment 1: MPANLs of the Peltor 3M earcup-covered hearing aids were higher than standard headphones across all frequencies, ranging from 24 to 47.3 dB SPL. Experiment 2: Inter-device performance reliability was high, with all inter-device differences across all intensities and frequencies less than 3 dB. Frequency output was consistent and differed less than 0.7% between devices. Experiments 3 and 4: 85.2% and 83.3% of automated in-situ audiometry thresholds were within 10 dB of thresholds obtained in the sound booth and in a community setting, respectively. Acceptable test-retest intraclass correlation coefficient (ICC) was evident across all thresholds obtained in a sound booth (ICC = 0.85 to 0.93) and in a community setting (ICC = 0.83 to 0.97). CONCLUSIONS: Smartphone-facilitated in-situ audiometry allows for reliable and valid community-based testing. A simple smartphone user interface and automated in-situ audiometry allow CHWs with minimal training to facilitate the testing. With the additional capability to program hearing aids via the smartphone after the initial test, this approach would have the potential to support widespread access to personalized hearing aid fittings facilitated by CHWs in low- and middle-income countries. This approach also supports self-fitting options based on in-situ thresholds, enabling testing and fitting via over the counter hearing aids.

The hearing aid effect across diverse African populations and various hearing device modalities.

INTRODUCTION: The stigma associated with wearing hearing aids, known as the "hearing aid effect," remains a significant issue in hearing healthcare. Despite notable changes in the look and feel of hearing aids over the last decade, little is known about the influence of socioeconomic factors on the perception of different hearing devices in a socioeconomically diverse setting. OBJECTIVE: To determine the hearing aid effect across a range of hearing devices and its association with socioeconomic factors, namely area of residence and level of education across African communities. METHOD: The study used a cross-sectional design with 322 participants (161 rural, 161 urban); mean age 31.9 years (14.7 SD). Participants rated photographs of seven different styles of devices [standard behind-the-ear hearing aid (BTE HA) with an earmould, mini BTE HA with a slim tube (ST), in-the-canal (ITC) HA, Airpod, receiver-in-canal (RIC), completely-in-canal (CIC) HA, and Personal Sound Amplification Product (PSAP)] worn by a peer model using a validated scale of eight attributes (attractiveness , age, success, hardworking, trustworthiness, intelligence, friendliness, education). The ratings of the BTE HA with earmould were used as a benchmark for comparison. RESULTS: No hearing aid effect was observed across all participants (n=322) with device ratings ranging between neutral and positive. Significant differences between device ratings were evident for attractiveness for ST and PSAP and trustworthiness for ITC. In terms of residence, urban participants provided more favorable ratings compared to rural participants, with significant differences across three attribute ratings: hardworking for ST; attractiveness, hardworking for ITC; age for RIC and Airpod and hardworking for PSAP. For level of education, significant differences were found for attributes of attractiveness (H = 13.5; p = 0.001) for ITC; attractiveness (H = 14.7, p = 0.001) for PSAP; age (H = 9.5; p = 0.009) for RIC; age (H = 14.3; p<0.001) and intelligence (H = 15.1; p< 0.001) for Airpod and; hardworking (H =11.9, p = 0.003) for ST. CONCLUSION: Overall, participants had a neutral to positive view of hearing devices with preferences for less visible, conventionally styled devices. Socioeconomic variables such as educational attainment and geographical location influence perceptions of hearing devices emphasizing the importance of taking these aspects into account when prescribing hearing devices.

Factors influencing hearing aid use, benefit and satisfaction in adults: a systematic review of the past decade.

OBJECTIVE: This systematic review examined the audiological and non-audiological factors that influence hearing aid use, benefit and satisfaction in adults based on studies published during the last decade (2010 and 2023). DESIGN: Studies were identified by using PRISMA guidelines for systematic searches on five platforms (Web of Science, Scopus, PubMed, EBSCOhost including CINAHL and Academic Search Complete). The National Institute of Health Quality assessment tool and the Oxford Centre for Evidence Based Medicine tool were used for quality assessment and grading of level of evidence. RESULTS: Forty-six articles were included in the review. A total of 101 significant factors influencing hearing aid use (n = 47), benefit (n = 17) and satisfaction (n = 37) were identified. Clear determinants of hearing aid use, benefit and satisfaction included hearing sensitivity, self-reported hearing difficulty, speech perception, attitude and beliefs. 34 cross-sectional studies in this review were graded level 4, 9 cohort studies rated level 3, and 3 randomised control trials rated level 2. CONCLUSION: Factors associated with hearing aid outcomes identified in the past decade support previous evidence. New factors like social networks and service-delivery models, have also been identified. These factors require further investigations through high quality studies to further strengthen existing evidence.

Factors Associated With Hearing Aid Outcomes Including Social Networks, Self-Reported Mental Health, and Service Delivery Models.

PURPOSE: This study aims to identify and describe factors that influence hearing aid outcomes including social networks, self-reported mental health, and service delivery models. METHOD: A prospective cross-sectional online survey was sent to hearing aid users recruited through an online platform (http://www.hearingtracker.com) between October and November 2021. The survey contained questions on patient demographics, audiological variables, general health and social factors, and self-reported hearing aid outcomes using the International Outcome Inventory for Hearing Aids (IOI-HA). Regression models evaluated potential contributing factors of hearing aid outcomes on the IOI-HA. RESULTS: Three hundred ninety-eight hearing aid users completed the survey with an average age of 66.6 (SD = 13.0) years, of which 59.3% were male. Positive contributing factors of hearing aid outcomes (IOI-HA total score) were social network of people with hearing loss with hearing aids (p < .010; Exp[B] = 0.03, 95% CI [0.01, 0.1]), self-reported mental health (p < .05; Exp[B] = 0.6, 95% CI [0.01, 1.2]), work situation (p < .001; Exp[B] = 1.9, 95% CI [0.7, 2.8]), quality of life (p < .005; Exp[B] = 1.2, 95% CI [0.3, 1.1]), and self-reported hearing difficulty (p < .02; Exp[B] = 0.8, 95% CI [0.2, 1.5]). Negative contributing factors of hearing aid outcomes included social networks of people with hearing loss without hearing aids (p < .001; Exp[B] = -0.1, 95% CI [-0.2, -0.2]) and service delivery model of private or university clinic compared to big-box retailers (p < .001; Exp[B] = -1.6, 95% CI [-2.7, -0.7]). CONCLUSIONS: Novel factors including social network of persons with hearing loss who use hearing aids, self-reported mental health, service delivery model, and work situation are significant contributors to hearing aid outcomes. These newly identified factors can inform public hearing health promotion and individualized audiological care to optimize hearing aid outcomes. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.24060486.

Mobile Health Hearing Aid Acclimatization and Support Program in Low-Income Communities: Feasibility Study.

BACKGROUND: The most common management option for hearing loss is hearing aids. In addition to devices, patients require information and support, including maintenance and troubleshooting. Mobile health (mHealth) technologies can support hearing aid management, acclimatization, and use. This study developed an mHealth acclimatization and support program for first-time hearing aid users and subsequently implemented and pilot-tested the feasibility of the program. The program was facilitated by community health workers (CHWs) in low-income communities in South Africa. OBJECTIVE: This study aimed to evaluate the feasibility of an mHealth acclimatization and support program supported by CHWs in low-income communities. METHODS: An application-based acclimatization and support was adapted and translated for use in low- and middle-income countries. This program was delivered in the form of 20 different voice notes accompanied by graphical illustrations via WhatsApp or 20 different SMS text messages. The program was provided to first-time hearing aid users immediately after a community-based hearing aid fitting in March 2021 in 2 low-income communities in the Western Cape, South Africa. The 20 messages were sent over a period of 45 days. Participants were contacted telephonically on days 8, 20, and 43 of the program and via open-ended paper-based questionnaires translated to isiXhosa 45 days and 6 months after the program started to obtain information on their experiences, perceptions, and accessibility of the program. Their responses were analyzed using inductive thematic analysis. RESULTS: A total of 19 participants fitted with hearing aids received the mHealth acclimatization and support program. Most participants (15/19, 79%) received the program via WhatsApp, with 21% (4/19) of them receiving it via SMS text message. Participants described the program as helpful, supportive, informative, sufficient, and clear at both follow-ups. A total of 14 participants reported that they were still using their hearing aids at the 6-month follow-up. Three participants indicated that not all their questions about hearing aids were answered, and 5 others had minor hearing aid issues. This included feedback (n=1), battery performance (n=1), physical fit (n=2), and issues with hearing aid accessories (n=1). However, CHWs successfully addressed all these issues. There were no notable differences in responses between the participants who received the program via WhatsApp compared with those who received it through SMS text message. Most participants receiving WhatsApp messages reported that the voice notes were easier to understand, but the graphical illustrations supplemented the voice notes well. CONCLUSIONS: An mHealth acclimatization and support program is feasible and potentially assists hearing aid acclimatization and use for first-time users in low-income communities. Scalable mHealth support options can facilitate increased access and improve outcomes of hearing care.

Person-centered care: preferences and predictors in speech-language pathology and audiology practitioners.

Introduction: Increasingly person-centered care (PCC) is being recognized as an important aspect of speech-language pathology and audiology (SLP/A) service delivery. This study aimed to (i) identify preferences toward PCC; (ii) determine predictors of these preferences; and (iii) describe the understanding and views of PCC among SLP/A in South Africa. Methods: A mixed-method design was followed utilizing an online survey and four focus group discussions. The survey included demographic questions, the modified Patient-Practitioner Orientation Scale (mPPOS), the Ten-Item-Personality-Inventory (TIPI) and an open-ended question. The focus group discussions included prompting questions which facilitated an open-ended discussion. Results: A total of 91 practitioners (39.6% speech-language pathologists) completed the online survey, with nine (44.4% audiologists) participating in the focus group discussions. A high preference toward PCC was noted, with a total mean mPPOS score of 4.6 (0.6 SD). Quantile regression analysis revealed four predictors (age, home language, sector, and personality trait openness) associated with PCC preferences. Three main categories emerged from the open-ended question and focus group discussions: (i) Positive experiences with PCC; (ii) restrictions toward PCC, and (iii) PCC exposure. Discussion: Positive (age and personality trait openness) and negative (home language and sector of employment) predictors toward PCC exist among speech-language pathologists and audiologists, with an overall general preference toward PCC. Practitioners experience facilitators and barriers toward implementing PCC including the extent of personal experiences, available resources and tools as well as workplace culture. These aspects require further investigation.

Satisfaction with hearing assessment feedback using the My Hearing Explained tool: client and audiologist perceptions.

OBJECTIVE: To determine the perceived satisfaction and understanding of hearing assessment feedback, using the Ida My Hearing Explained Tool (IMHET), compared to the standard audiogram reported by adult clients and audiologists. DESIGN: This study is a mixed-method design comparing clients and audiologists' perceptions through a single-blinded, randomised control trial and focus group discussions. After using either the audiogram or IMHET for feedback, clients and audiologists completed the adapted Patient Satisfaction Questionnaire (PSQ). STUDY SAMPLE: During client's initial audiological consultations, audiologists provided hearing assessment feedback (Total = 51) using the IMHET or audiogram. Twenty-seven clients and seven audiologists participated in focus groups, and/or open-ended questions. RESULTS: Satisfaction was not significantly different (p > 0.05) between the IMHET (76.18; SD: 2.66) or audiogram (75.63; SD: 4.73) for the overall PSQ scores reported by clients and audiologists. Two shared main themes, understanding and satisfaction, were identified for both tools from the focus groups and open-ended questions. A third main theme, recommendations, was identified only for the IMHET. CONCLUSIONS: The IMHET is a valuable resource for clients during hearing assessment feedback. Audiologists recommend that the audiogram be used as a supplement when using the IMHET to provide feedback.

Context-specific advancements in service delivery for communication disorders in South Africa.

No abstract available.

In pursuit of best practice through contextually relevant, accountable and responsive research.

No abstract available.

mHealth-Supported Hearing Health Training for Early Childhood Development Practitioners: An Intervention Study.

(1) Hearing health training and promotion is a priority for early childhood development (ECD) practitioners, but training opportunities are limited, especially in low- and middle-income countries (LMIC). mHealth (mobile health) has the potential to deliver scalable ear and hearing training to ECD practitioners. (2) This study investigated the effect of an mHealth training intervention program for ECD practitioners to improve knowledge and perceptions of hearing health in young children. An experimental one-group, pre-post-test study included ECD practitioners working with children between birth and 6 years old across 31 neighbouring communities in the Western Cape Province, South Africa. Hearing health training was provided using WhatsApp messages that encompassed infographics and voice notes. Knowledge and perceptions regarding hearing and hearing-related problems in children were surveyed pre-training, directly post training, and 6 months post training. (3) ECD practitioners (N = 1012) between 17 and 71 years of age received the mHealth training program and completed both the pre-and post-training surveys. Overall, knowledge scores indicated a significant improvement from pre- to post training (Z = -22.49; p < 0.001). Six-month post-training knowledge scores were sustained. Content analysis of ECD practitioners' application of the training information 6 months post training indicated improved awareness, practical application, better assistance for hearing problems, and widespread advocacy. (4) The mHealth training program supports improved knowledge and perceptions of ECD practitioners regarding hearing health for young children. With improved knowledge scores maintained 6 months post training, mHealth hearing health training is an effective intervention. An mHealth training program for ECD practitioners provides a scalable, low-cost intervention for primary and secondary prevention in childhood hearing loss, especially in LMICs.

Audiologists' Perceptions of Hearing Healthcare Resources and Services in South Africa's Public Healthcare System.

Background: Hearing loss poses a significant burden globally. Its prevalence is exceptionally high in countries across the African region, where healthcare resources and services remain inaccessible. This study aimed to describe audiologists' perceptions regarding hearing healthcare resources and services within South Africa's public healthcare system. Methods: A national self-developed telephonic survey was conducted with audiologists in public healthcare system hospitals across South Africa, with the final sample comprising 100 audiologists. Results: Most (82%) audiologists indicated that their hospitals did not have adequate hearing healthcare resources to render efficient audiology services to patients. Binaural amplification devices (invasive and non-invasive) for adults with bilateral hearing loss who adhered to the criteria for these devices were perceived to be unavailable in most hospitals. Audiologists also perceived that universal newborn hearing screening services, adult aural rehabilitation services, and follow-up care for all hearing devices post-warranty expiration were limited. Conclusion: Efforts should be made to upsurge hearing healthcare resources, including increasing the financial budgets allocated to audiology resources so that increased diagnostic and screening audiology equipment and hearing devices can be procured where required, and additional audiologists can be employed within the South African public sector hospitals where needed.

Community-based adult hearing care provided by community healthcare workers using mHealth technologies.

BACKGROUND: The rising prevalence of hearing loss is a global health concern. Professional hearing services are largely absent within low- and middle-income countries where appropriate skills are lacking. Task-shifting to community healthcare workers (CHWs) supported by mHealth technologies is an important strategy to address the problem. OBJECTIVE: To evaluate the feasibility of a community-based rehabilitation model providing hearing aids to adults in low-income communities using CHWs supported by mHealth technologies. METHOD: Between September 2020 and October 2021, hearing aid assessments and fittings were implemented for adults aged 18 and above in two low-income communities in the Western Cape, South Africa, using trained CHWs. A quantitative approach with illustrative open-ended questions was utilised to measure and analyse hearing aid outcomes. Data were collected through initial face-to-face interviews, telephone interviews, and face-to-face visits post-fitting. Responses to open-ended questions were analysed using inductive thematic analysis. The International Outcome Inventory - Hearing Aids questionnaire determined standardised hearing aid outcomes. RESULTS: Of the 152 adults in the community who self-reported hearing difficulties, 148 were successfully tested by CHWs during home visits. Most had normal hearing (39.9%), 24.3% had bilateral sensorineural hearing loss, 20.9% had suspected conductive hearing loss, and 14.9% had unilateral hearing loss, of which 5.4% had suspected conductive loss. Forty adults met the inclusion criteria to be fitted with hearing aids. Nineteen of these were fitted bilaterally. Positive hearing aid outcomes and minimal device handling challenges were reported 45 days post-fitting and were maintained at six months. The majority (73.7%) of participants fitted were still making use of their hearing aids at the six-month follow-up. CONCLUSIONS: Implementing a hearing healthcare service-delivery model facilitated by CHWs in low-income communities is feasible. mHealth technologies used by CHWs can support scalable service-delivery models with the potential for improved access and affordability in low-income settings.

Perceptions of Telehealth Services for Hearing Loss in South Africa's Public Healthcare System.

Telehealth promises increased access to hearing healthcare services, primarily in areas where hearing healthcare resources are limited, such as within the South African public healthcare system. Telehealth for hearing healthcare is especially important during the COVID-19 pandemic, where physical distancing has been essential. This study aimed to describe audiologists' perceptions regarding telehealth services for hearing loss within South Africa's public healthcare system. This study was divided into two phases. During Phase 1, 97 audiologists completed an electronic survey regarding their perceptions of telehealth for hearing loss within South African public sector hospitals. Synchronous virtual focus-group discussions were conducted during Phase 2. Results indicated that audiologists recognized telehealth services' potential to improve hearing healthcare efficiency within the public sector, and most (84.1%) were willing to use it. However, telehealth's actual uptake was low despite almost doubling during the COVID-19 pandemic. Prominent perceived barriers to telehealth were primarily related to hospital resources, including the unavailability of equipment for the remote hearing/specialized assessments, internet-related barriers, and limited IT infrastructure. An increased understanding of telehealth in South Africa's public healthcare system will assist in identifying and in improving potential barriers to telehealth, including hospital resources and infrastructure.

Remote Monitoring of Adult Cochlear Implant Recipients Using Digits-in-Noise Self-Testing.

PURPOSE: The COVID-19 pandemic has accelerated the uptake and scope of telehealth. This study determined the accuracy and reliability of a smartphone digits-in-noise (DIN) test when conducted by adult cochlear implant (CI) recipients in a simulated home environment compared with a clinic setup. Perceptions of remote monitoring using speech-in-noise (SIN) testing were also explored. METHOD: Thirty-three adult CI recipients between 18 and 78 years of age (M = 46.7, SD = ±20.4) conducted the DIN test in a simulated home environment and a clinic setup. Test-retest reliability across the two environments and comparisons between test settings were evaluated. A survey explored the perceptions of adult CI recipients regarding remote monitoring and use of the DIN self-test. RESULTS: Mean-aided speech reception thresholds (SRTs) in the clinic and simulated home environment test conditions and clinic and simulated home environment retest conditions did not differ significantly. Mean test-retest SRTs in the clinic and simulated home environment were significantly different (p < .05). High intraclass correlation coefficient and low standard error of measurement scores reflected good and excellent reliability between test-retest measures and between clinic and simulated home environment measures. Most participants were positive about the possibility of using the DIN test at home to self-assess speech perception, although some test adjustments such as including training items and a less adverse starting signal-to-noise ratio may be required. CONCLUSION: Adult CI recipients can use the smartphone DIN test to self-assess aided SIN performance in a home environment with accuracy and reliability relatively similar to clinic testing. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.20044418.

m-Health Applications for Hearing Loss: A Scoping Review.

Introduction: Mobile health (m-health) has the potential to improve access and uptake of health services globally. Noncommunicable diseases such as hearing loss have seen increasing use of m-health approaches to improve access, scalability, penetration, quality, and convenience of health services. This scoping review describes published research in m-health supported hearing health care services across the continuum of care. Methods: A search on Scopus, MEDLINE (PubMed), and Web of Science for articles published up to July 2, 2021 was conducted. Articles in which m-health was used across a continuum of care where the primary focus was hearing health care were included. A narrative synthesis was conducted. Results: One hundred forty-six articles meeting the inclusion criteria were included in data extraction. High-income countries contributed 56% of articles, upper-middle countries 32%, lower-middle countries 8%, and low-income countries 4%. Articles identified included promotion (2%), screening (39%), diagnosis (35%), treatment (10%), and support (14%) for hearing loss. m-Health applications in high-income countries were more represented in diagnosis (62% vs. 38%), treatment (67% vs. 33%), and support (82% vs. 18%) compared with low- and middle-income countries (LMICs) except for screening (64% vs. 36%). Few studies focussed on hearing health promotion across all income brackets. Conclusions: m-Health supported hearing health care services are available across a continuum of care and various world regions, although more prevalent in high-income countries. Although great potential is demonstrated, implementation evaluations are important to further validate its widespread use and potential to make services for hearing loss more accessible in LMICs.

Improving the Efficiency of the Digits-in-Noise Hearing Screening Test: A Comparison Between Four Different Test Procedures.

PURPOSE: This study compared the test characteristics, test-retest reliability, and test efficiency of three novel digits-in-noise (DIN) test procedures to a conventional antiphasic 23-trial adaptive DIN (D23). METHOD: One hundred twenty participants with an average age of 42 years (SD = 19) were included. Participants were tested and retested with four different DIN procedures. Three new DIN procedures were compared to the reference D23 version: (a) a self-selected DIN (DSS) to allow participants to indicate a subjective speech recognition threshold (SRT), (b) a combination of self-selected and adaptive eight-trial DIN (DC8) that utilized a self-selected signal-to-noise ratio (SNR) followed by an eight-trial adaptive DIN procedure, and (c) a fixed SNR DIN (DF) approach using a fixed SNR value for all presentations to produce a pass/fail test result. RESULTS: Test-retest reliability of the D23 procedure was better than that of the DSS and DC8 procedures. SRTs from DSS and DC8 were significantly higher than SRTs from D23. DSS was not accurate to discriminate between normal-hearing and hard of hearing listeners. The DF and DC8 procedures with an adapted cutoff showed good hearing screening test characteristics. All three novel DIN procedure durations were significantly shorter (< 70 s) than that of D23. DF showed a reduction of 46% in the number of presentations compared to D23 (from 23 presentations to an average of 12.5). CONCLUSIONS: The DF and DC8 procedures had significantly lower test durations than the reference D23 and show potential to be more time-efficient screening tools to determine normal hearing or potential hearing loss. Further studies are needed to optimize the DC8 procedure. The reference D23 remains the most reliable and accurate DIN hearing screening test, but studies in which the potentially efficient new DIN procedures are compared to pure-tone thresholds are needed to validate these procedures.

Speech Recognition in Noise Using Binaural Diotic and Antiphasic Digits-in-Noise in Children: Maturation and Self-Test Validity.

BACKGROUND: Digits-in-noise (DIN) tests have become popular for hearing screening over the past 15 years. Several recent studies have highlighted the potential utility of DIN as a school-aged hearing test. However, age may influence test performance in children due to maturation. In addition, a new antiphasic stimulus paradigm has been introduced, allowing binaural intelligibility level difference (BILD) to be measured by using a combination of conventional diotic and antiphasic DIN. PURPOSE: This study determined age-specific normative data for diotic and antiphasic DIN, and a derived measure, BILD, in children. A secondary aim evaluated the validity of DIN as a smartphone self-test in a subgroup of young children. RESEARCH DESIGN: A cross-sectional, quantitative design was used. Participants with confirmed normal audiometric hearing were tested with a diotic and antiphasic DIN. During the test, arrangements of three spoken digits were presented in noise via headphones at varying signal-to-noise ratio (SNR). Researchers entered each three-digit spoken sequence repeated by the participant on a smartphone keypad. STUDY SAMPLE: Overall, 621 (428 male and 193 female) normal hearing children (bilateral pure tone threshold of ≤ 20 dB hearing level at 1, 2, and 4 kHz) ranging between the ages of 6 and 13 years were recruited. A subgroup of 7-year-olds (n = 30), complying with the same selection criteria, was selected to determine the validity of self-testing. DATA COLLECTION AND ANALYSIS: DIN testing was completed via headphones coupled to a smartphone. Diotic and antiphasic DIN speech recognition thresholds (SRTs) were analyzed and compared for each age group. BILD was calculated through subtraction of antiphasic from diotic SRTs. Multiple linear regressions were run to determine the effect of age on SRT and BILD. In addition, piecewise linear regressions were fit across different age groups. Wilcoxon signed-rank tests were used to determine differences between self- and facilitated tests. RESULTS: Age was a significant predictor, of both diotic and antiphasic DIN SRTs (p < 0.05). SRTs improved by 0.15 dB and 0.35 dB SNR per year for diotic and antiphasic SRTs, respectively. However, age effects were only significant up to 10 and 12 years for antiphasic and diotic SRTs, respectively. Age significantly (p < 0.001) predicted BILD, which increased by 0.18 dB per year. A small SRT advantage for facilitated over self-testing was seen but was not significant (p > 0.05). CONCLUSIONS: Increasing age was significantly associated with improved SRT and BILD using diotic and antiphasic DINs. DIN could be used as a smartphone self-test in young children from 7 years of age with appropriate quality control measures to avoid potential false positives.

Sound-level Monitoring Earphones With Smartphone Feedback as an Intervention to Promote Healthy Listening Behaviors in Young Adults.

OBJECTIVES: More than a billion adolescents and youngsters are estimated to be at risk of acquiring recreational noise-induced hearing loss (RNIHL) due to the unsafe use of personal audio systems. RNIHL is preventable; therefore, the present study aimed to determine (i) the accuracy and reliability of dbTrack (Westone) sound-level monitoring earphones and (ii) the effect of sound-level monitoring earphones with smartphone feedback and hearing-health information as an intervention to promote healthy listening behaviors in young adults. DESIGN: The study consisted of two phases: the first phase investigated the accuracy and reliability of dbTrack sound-level monitoring earphones. Accuracy was determined by comparing earphone measurements to sound level meter measurements. Intradevice reliability was determined by comparing earphone measurements during test-retest conditions. Nineteen participants were recruited through convenience sampling to determine within-subject reliability by comparing in-ear sound levels measured by the earphones during test-retest conditions. For the second phase of the study, a single-group pretest-posttest design was utilized. Forty participants, recruited through snowball sampling, utilized the sound-level monitoring earphones with the accompanying dbTrack smartphone application for 4 weeks. The application's smartphone feedback was disabled during the first 2 weeks (pretest condition) and enabled during the last 2 weeks (posttest condition). Average daily intensities, durations, and sound dosages measured during pre- and posttest conditions were compared. RESULTS: Phase 1 dbTrack earphone measurements were within 1 dB when compared with sound level meter measurements. Earphones were also within 1 dB in repeated measures across earphones and across participants. Phase 2 posttest average daily intensity decreased by 8.7 dB (18.3 SD), duration decreased by 7.6 minutes (46.6 SD), and sound dose decreased by 4128.4% (24965.5% SD). Differences in intensity and sound dose were significantly lower with a small and medium effect size, respectively. CONCLUSIONS: This study's preliminary data indicate that dbTrack (Westone) sound-level monitoring earphones with a calibrated in-ear microphone can reliably and accurately measure personal audio systems sound exposure. Preliminary results also suggest that feedback on sound exposure using the accurate sound-level monitoring earphones with the accompanying dbTrack application can potentially promote safe listening behavior in young adults and reduce the risk of acquiring an RNIHL.