Ecological Momentary Assessment in Hearing Research: Current State, Challenges, and Future Directions

Implementing Ecological Momentary Assessment in Audiological Research: Opportunities and Challenges

Ecological momentary assessment (EMA) is a way to evaluate experiences in everyday life. It is a powerful research tool but can be complex and challenging for beginners. Application of EMA in audiological research brings with it opportunities and challenges that differ from other research disciplines. This tutorial discusses important considerations when conducting EMA studies in hearing care. While more research is needed to develop specific guidelines for the various potential applications of EMA in hearing research, we hope this article can alert hearing researchers new to EMA to pitfalls when using EMA and help strengthen their study design. The current article elaborates study design details, such as choice of participants, representativeness of the study period for participants' lives, and balancing participant burden with data requirements. Mobile devices and sensors to collect objective data on the acoustic situation are reviewed alongside different possibilities for EMA setups ranging from online questionnaires paired with a timer to proprietary apps that also have access to parameters of a hearing device. In addition to considerations for survey design, a list of questionnaire items from previous studies is provided. For each item, an example and a list of references are given. EMA typically provides data sets that are rich but also challenging in that they are noisy, and there is often unequal amount of data between participants. After recommendations on how to check the data for compliance, reactivity, and careless responses, methods for statistical analysis on the individual level and on the group level are discussed including special methods for direct comparison of hearing device programs.

Predicting Individual Hearing-Aid Preference From Self-Reported Listening Experiences in Daily Life

OBJECTIVES

The study compared the utility of two approaches for collecting real-world listening experiences to predict hearing-aid preference: a retrospective questionnaire (Speech, Spatial, and Qualities of Hearing Scale [SSQ]) and in-situ Ecological Momentary Assessment (EMA). The rationale being that each approach likely provides different and yet complementary information. In addition, it was examined how self-reported listening activity and hearing-aid data-logging can augment EMAs for individualized and contextualized hearing outcome assessments.

DESIGN

Experienced hearing-aid users (N = 40) with mild-to-moderate symmetrical sensorineural hearing loss completed the SSQ questionnaire and gave repeated EMAs for two wear periods of 2-weeks each with two different hearing-aid models that differed mainly in their noise reduction technology. The EMAs were linked to a self-reported listening activity and sound environment parameters (from hearing-aid data-logging) recorded at the time of EMA completion. Wear order was randomized by hearing-aid model. Linear mixed-effects models and Random Forest models with five-fold cross-validation were used to assess the statistical associations between listening experiences and end-of-trial preferences, and to evaluate how accurately EMAs predicted preference within individuals.

RESULTS

Only 6 of the 49 SSQ items significantly discriminated between responses made for the end-of-trial preferred versus nonpreferred hearing-aid model. For the EMAs, questions related to perception of the sound from the hearing aids were all significantly associated with preference, and these associations were strongest in EMAs completed in sound environments with predominantly low SNR and listening activities related to television, people talking, nonspecific listening, and music listening. Mean differences in listening experiences from SSQ and EMA correctly predicted preference in 71.8% and 72.5% of included participants, respectively. However, a prognostic classification of single EMAs into end-of-trial preference with a Random Forest model achieved a 93.8% accuracy when contextual information was included.

CONCLUSIONS

SSQ and EMA predicted preference equally well when considering mean differences, however, EMAs had a high prognostic classifications accuracy due to the repeated-measures nature, which make them ideal for individualized hearing outcome investigations, especially when responses are combined with contextual information about the sound environment.

Factors to Describe the Outcome Characteristics of a CI Recipient

Background: In cochlear implant (CI) treatment, there is a large variability in outcome. The aim of our study was to identify the independent audiometric measures that are most directly relevant for describing this variability in outcome characteristics of CI recipients. An extended audiometric test battery was used with selected adult patients in order to characterize the full range of CI outcomes. Methods: CI users were recruited for this study on the basis of their postoperative results and divided into three groups: low (1st quartile), moderate (medium decentile), and high hearing performance (4th quartile). Speech recognition was measured in quiet by using (i) monosyllabic words (40-80 dB SPL), (ii) speech reception threshold (SRT) for numbers, and (iii) the German matrix test in noise. In order to reconstruct demanding everyday listening situations in the clinic, the temporal characteristics of the background noise and the spatial arrangements of the signal sources were varied for tests in noise. In addition, a survey was conducted using the Speech, Spatial, and Qualities (SSQ) questionnaire and the Listening Effort (LE) questionnaire. Results: Fifteen subjects per group were examined (total N = 45), who did not differ significantly in terms of age, time after CI surgery, or CI use behavior. The groups differed mainly in the results of speech audiometry. For speech recognition, significant differences were found between the three groups for the monosyllabic tests in quiet and for the sentences in stationary (S0°N0°) and fluctuating (S0°NCI) noise. Word comprehension and sentence comprehension in quiet were both strongly correlated with the SRT in noise. This observation was also confirmed by a factor analysis. No significant differences were found between the three groups for the SSQ questionnaire and the LE questionnaire results. The results of the factor analysis indicate that speech recognition in noise provides information highly comparable to information from speech intelligibility in quiet. Conclusions: The factor analysis highlighted three components describing the postoperative outcome of CI patients. These were (i) the audiometrically measured supra-threshold speech recognition and (ii) near-threshold audibility, as well as (iii) the subjective assessment of the relationship to real life as determined by the questionnaires. These parameters appear well suited to setting up a framework for a test battery to assess CI outcomes.

How Individuals Shape Their Acoustic Environment: Implications for Hearing Aid Comparison in Ecological Momentary Assessment

OBJECTIVES

When using ecological momentary assessment (EMA) to compare different hearing aid programs, it is usually assumed that for sufficiently long study durations similar situations will be experienced in both programs. However, conscious or subconscious adaptation of situations to one's hearing ability (e.g., asking a conversation partner to speak up, increasing TV volume)-which might be different across the time spent in different hearing aid programs-may challenge this assumption. In the present study, we investigated how test participants modify their acoustic environment and if these modifications depend on the hearing program.

DESIGN

Twenty-nine experienced hearing aid users were provided with hearing aids containing two hearing programs differing in directionality and noise reduction (NR). The hearing programs called NR-on and NR-off changed each day automatically. Over the course of 3 weeks, participants were asked to answer a questionnaire every time they encountered an acoustic situation they modified or would have liked to modify to improve the listening situation. Objective data on sound pressure level and classification of the acoustic situation were collected from the hearing aids. At the beginning of the study participants recollected modifications of the acoustic environments they typically do when using their own hearing aids and reported on the frequency of this behavior.

RESULTS

During the field trial, participants reported on average 2.3 situations per day that they modified or would have liked to modify. Modifications were usually performed quickly after the onset of the situation and significantly improved the pleasantness of the listening situation. While the number of the reported situations did not differ between the programs, modifications increasing the volume of the target signal and increasing the hearing aid volume were more frequent for the NR-on hearing program. Changes in the objective data at the time of the modification were consistent with the reported modifications. Further, the usage time as well as the distribution of the acoustic situations over the entire study period differed between the two hearing programs.

CONCLUSIONS

The large improvement in pleasantness due to the modification might explain the generally positive ratings observed in EMA studies. Furthermore, the results found here suggest that caution is needed when comparing ratings of audiological attributes in EMA, because the different modification behavior across hearing programs may lead to an underestimation of hearing problems and reduced sensitivity when comparing two technologies.

Normative Values of Client-Reported Outcome Measures and Self-Ratings of Six Voice Parameters via the VoiceEvalU8 App

OBJECTIVES

Ecological momentary assessments (EMA) and interventions (EMI) have the potential to assess and offer interventions repeatedly within the client's daily life through mobile app technology. Considering the development of the EMA VoiceEvalU8, the current work provided normative data by comparing traditional (i.e., paper and pencil) and electronic (i.e., VoiceEvalU8 app) administration modalities of client-reported outcome measures and client self-ratings of six voice parameters twice a day in their functional environment.

METHODS

In Experiment 1, 50 vocally healthy cisgender women and men completed the Voice Handicap Index (VHI)-30, VHI-10, and Vocal Fatigue Index (VFI) with paper and pencil and the VoiceEvalU8 app. The order of administration modality and perceptual scales was randomized for each participant. In Experiment 2, 104 vocally healthy cisgender women and men used the VoiceEvalU8 app across five days in the morning before talking all day and in the evening after talking all day to self-rate six voice parameters (i.e., overall quality, roughness, breathiness, strain, pitch, and loudness) on a scale from 0 - 100. Mann Whitney U tests were run for all measures. Means and standard deviations are reported for descriptive analysis and normative values.

RESULTS

In Experiment 1, results showed no significant differences between paper and pencil and VoiceEValU8 app administration for the VHI-30, VHI-10, and VFI for vocally healthy adults. Normative values in the current study were consistent with previous literature for the VHI-10 and VFI factor 1 and 2, but slightly higher for the VHI-30 and slightly lower for the VFI factor 3. In Experiment 2, results demonstrated significant differences for all six voice parameters between the morning and evening log sessions. Normative values demonstrated higher self-ratings in the morning as compared to the evening.

CONCLUSIONS

For vocally healthy adults, completing the VHI-30, VHI-10, and VFI via paper and pencil and the VoiceEvalU8 app yielded the same results. Client self-ratings of six voice parameters on a scale from 0 - 100 twice a day demonstrated that vocally healthy adults perceived voice to be worse in the morning before talking all day as compared to the evening after talking all day. The results from the current work are promising for EMA via the VoiceEvalU8 app and support the need for continued investigations with clients with voice differences, problems, and/or disorders.

Multidisciplinary assessment and interventions for childhood auditory processing disorder (APD) and listening difficulties (LiD)

Purpose

Auditory processing disorder (APD) has been studied in both research and clinic settings, but the relation between the two has not been addressed. In a longitudinal research study (SICLiD), we found that children with clinically normal audiometry who had caregiver-reported listening difficulties (LiD), with or without clinically assessed APD, performed poorly on both listening and cognitive tests. Specific questions asked here were, for the children with LiD, what other neurodevelopmental clinical conditions were identified, what interventions were used by different clinical providers, and how clinical practice was predicted by research results.

Methods

Study setting was a large, research-led, tertiary pediatric hospital. Electronic medical records of 74 children aged 6-13 years, recruited into SICLiD and assigned to an LiD group based on a validated and reliable caregiver report (ECLiPS), were independently reviewed. Focus was on clinical assessments and interventions following appointments provided in the Hospital Divisions of Audiology, Occupational Therapy, Psychology (Developmental and Behavioral Pediatrics), and Speech-Language Pathology (SLP), prior to participation in SICLiD. Descriptive statistics on clinical encounters, identified conditions, and interventions were compared with quantitative, standardized performance on SICLiD assessments of listening and cognitive function. SICLiD z-scores were compared for participants with and without each clinical condition using univariate and logistic prediction analyses.

Results

Most (86%) of the children with LiD had been evaluated by at least one clinical service. Overall, 24 assessment categories related to LiD, including APD, were identified. Most common conditions were attention (32%), language (28%), hearing (18%), anxiety (16%), and autism spectrum (6%) disorders. Performance on SICLiD measures varied significantly between providers, conditions, and interventions. Significant relationships between SICLiD and clinical conditions were mostly caregiver-reported items from the ECLiPS or the Children's Communication Checklist (CCC-2). Other significant correlations were scarce, but included the SCAN composite score, which predicted clinical language and attention, but not other auditory abilities or APD. SICLiD data combined with caregiver reports provided reliable predictions of all clinical conditions except APD.

Conclusions

The variety of disciplines, assessments, conditions and interventions revealed here supports previous studies showing that LiD and APD are multifaceted problems of neurodevelopment. Comparisons between clinical- and research-based assessments suggest a diagnostic path that prioritizes caregiver reports and selected psychometric tests for screening and diagnostic purposes.

Effectiveness of the HEAR-Aware App for Adults Not Ready for Hearing Aids, but Open to Self-Management Support: Results of a Randomized Controlled Trial

INTRODUCTION

Recently, the HEAR-aware app was developed to support adults who are eligible for hearing aids (HAs) but not yet ready to use them. The app serves as a self-management tool, offering assistance for a range of target behaviors (TBs), such as communication strategies and emotional coping. Using ecological momentary assessment and intervention, the app prompts users to complete brief surveys regarding challenging listening situations they encounter in their daily lives (ecological momentary assessment). In response, users receive educational content in the form of "snippets" (videos, texts, web links) on the TBs, some of which are customized based on the reported acoustic environmental characteristics (ecological momentary intervention). The primary objective of this study was to assess the effectiveness of the HEAR-aware app in enhancing readiness to take action on various TBs and evaluate its impact on secondary outcomes. The secondary objective was to examine the app's usability, usefulness, and user satisfaction.

METHODS

A randomized controlled trial design with two arms was used. Participants with hearing loss aged 50 years and over were recruited via an HA retailer and randomly assigned to the intervention group (n = 42, mean age = 65 years [SD = 9.1]) or the control group (n = 45, mean age = 68 years [SD 8.7]). The intervention group used the app during 4 weeks. The control group received no intervention. All participants completed online questionnaires at baseline (T0), after 4 weeks (T1), and again 4 weeks later (T2). Participants' readiness to take action on five TBs was measured with The Line Composite. A list of secondary outcomes was used. Intention-to-treat analyses were performed using Linear Mixed effect Models including group (intervention/control), time (T0/T1/T2), and Group × Time Interactions. In addition, a per protocol analysis was carried out to explore whether effects depended on app usage. For the secondary aim the System Usability Scale (SUS), the Intrinsic Motivation Inventory, item 4 of the International Outcome Inventory-Alternative Intervention (IOI-AI), and a recommendation item were used (intervention group only at T1).

RESULTS

For objective 1, there was no significant group difference for The Line Composite over the course of T0, T1, and T2. However, a significant (p = 0.033) Group × Time Interaction was found for The Line Emotional coping, with higher increase in readiness to take action on emotional coping in the intervention group than in the control group. The intention-to-treat analyses revealed no other significant group differences, but the per protocol analyses showed that participants in the intervention group were significantly more ready to take up Assistive Listening Devices (The Line Assistive Listening Devices) and less ready to take up HAs (Staging Algorithm HAs) than the control group (p = 0.049). Results for objective 2 showed that on average, participants rated the app as moderately useful (mean Intrinsic Motivation Inventory score 5 out of 7) and its usability as "marginal" (mean SUS score 68 out of 100) with about half of the participants rating the app as "good" (SUS score >70) and a minority rating is as "unacceptable" (SUS score ≤50).

DISCUSSION/CONCLUSIONS

This study underscores the potential of self-management support tools like the HEAR-aware app in the rehabilitation of adults with hearing loss who are not yet ready for HAs. The range in usability scores suggest that it may not be a suitable intervention for everyone.

Evaluating Real-World Benefits of Hearing Aids With Deep Neural Network-Based Noise Reduction: An Ecological Momentary Assessment Study

PURPOSE

Noise reduction technologies in hearing aids provide benefits under controlled conditions. However, differences in their real-life effectiveness are not established. We propose that a deep neural network (DNN)-based noise reduction system trained on naturalistic sound environments will provide different real-life benefits compared to traditional systems.

METHOD

Real-life listening experiences collected with Ecological Momentary Assessments (EMAs) of participants who used two premium models of hearing aid are compared. One hearing aid model (HA1) used traditional noise reduction; the other hearing aid model (HA2) used DNN-based noise reduction. Participants reported listening experiences several times a day while ambient SPL, SNR, and hearing aid volume adjustments were recorded. Forty experienced hearing aid users completed a total of 3,614 EMAs and recorded 6,812 hr of sound data across two 14-day wear periods.

RESULTS

Linear mixed-effects analysis document that participants' assessments of ambient noisiness were positively associated with SPL and negatively associated with SNR but were not otherwise affected by hearing aid model. Likewise, mean satisfaction with the two models did not differ. However, individual satisfaction ratings for HA1 were dependent on ambient SNR, which was not the case for HA2.

CONCLUSIONS

Hearing aids with DNN-based noise reduction resulted in consistent sound satisfaction regardless of the level of background noise compared to hearing aids implementing noise reduction based on traditional statistical models. While the two hearing aid models also differed on other parameters (e.g., shape), these differences are unlikely to explain the difference in how background noise impacts sound satisfaction with the aids.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.25114526.

Feasibility of the HEAR-aware App for Hearing Loss Self-Management: A Nonrandomized Intervention Study to Examine Intervention Acceptability and the Stages-of-Change Concept

OBJECTIVES

The HEAR-aware project targets adults ≥50 years who were recently diagnosed with hearing loss and declined hearing aids, but were open for support via a smartphone app on different target behaviors (TBs). The HEAR-aware app, based on Ecological Momentary Assessment and Ecological Momentary Intervention (EMA, EMI), contains educational materials ("snippets") tailored partly to the user's experienced listening situations. The app aims to increase adults' TB-specific readiness to take action on hearing problems. The present study focused on examining feasibility regarding three novel aspects: (1) the app's acceptability, mainly regarding its EMA and EMI elements (compliance, usability, usefulness, satisfaction), (2) psychometric properties of 10 new TB-specific stages-of-change (SoC) measures (test-retest reliability, construct validity), and (3) the potential of tailoring snippets on a person's SoC.

DESIGN

A nonrandomized intervention study including four measurements with 2-week intervals (T0-T3). (1) The intervention period lasted 4 weeks. App usage data were collected throughout (T1-T3). Usability, usefulness, and satisfaction were measured at T3 (n = 26). (2) Reliability concerned T0 and T1 data, in between which no intervention occurred. Intraclass correlation coefficients (ICCs) were calculated (n = 29). Construct validity was examined by calculating correlations between the different TB-specific scales (at T0), and also between each of them and self-reported hearing disability (n = 29). (3) Person-tailoring by SoC was examined using T0 and T1 data. Linear mixed models were applied to test whether users rated snippets corresponding to their SoC as more interesting and useful than noncorresponding snippets (n = 25).

RESULTS

(1) The percentage of participants that complied with the intended usage varied across the five predefined compliance criteria (lowest: 8%; highest: 85%). Median snippet satisfaction scores were reasonably positive (3.5 to 4.0 of 5). Usability was good (System Usability Score, mean = 72.4, SD = 14.3) and usefulness satisfactory (Intrinsic Motivation Inventory, mean = 4.4, SD = 1.4), but showed large variance. (2) The 10 TB-specific scales showed fair-to-excellent reliabilities (range ICCs = 0.51 to 0.80). Correlations between the TB-specific scales ranged between -0.17 ( p > 0.05) and 0.74 ( p < 0.001), supporting only partly overlap between their underlying constructs. Only the correlation between TB-specific readiness for hearing aid uptake and self-reported hearing disability was significant. (3) Correspondence of a snippet's SoC with the person's SoC significantly related to "interesting" ratings ( p = 0.006). Unexpectedly, for snippets with a lower SoC than the participant's, further deviation of the snippet's SoC from the participant's SoC, increased the participant's interest in the snippet. The relationship with "usefulness" was borderline significant.

CONCLUSIONS

(1) Overall usability, usefulness, and satisfaction scores indicated sufficient app acceptability. The high variance and fairly low compliance showed room for improving the app's EMA/EMI parts for part of the participants. (2) The 10 new TB-specific SoC measures showed sufficient reliability, supporting that they measured different types of readiness to take action on hearing problems (construct validity). (3) The unexpected findings regarding tailoring educational app materials to individuals' SoC deserve further study.

The feasibility of using ecological momentary assessment to understand urinary and fecal incontinence experiences in adults with spina bifida: A 30-day study

In this paper, we evaluate the feasibility of using ecological momentary assessment (EMA) to understand urinary (UI) and fecal (FI) incontinence in adults with spina bifida (SB). As part of a larger 30-day prospective study to understand the incontinence in adults with SB (N = 89), participants completed end-of-day EMA diaries assessing the frequency and context of UI and FI. We used these data to assess the method feasibility across six dimensions: (a) compliance, or data entry which is consistent with study protocol and substantially complete; (b) reactivity, or behavior change attributed to study participation; (c) participant acceptability, or convenience and ease of method beneficial to compliance; (d) data capture, or the volume of incontinence behaviors collected; (e) the accuracy of incontinence reports; and f) participant-provided feedback for future studies. Participants were highly compliant with diary entry protocol and schedule: submitting 95.7% (2576/2700) of the expected total daily entries. The average completion time was two minutes. Neither the total number of submissions nor the completion time varied by demographic characteristics or health history. A sufficient volume of incontinence and affective outcomes were captured, with small downtrends in reporting of UI and affect over time. Exit survey recall was highly correlated with diary reports. Participants found the methodology to be acceptable, reported their experiences honestly, enjoyed and felt comfortable participating in the study and would engage in similar study in the future. Accurate information about the daily context of UI and FI is a key factor in the success of intervention or education programs relying on this information. Our findings demonstrate that EMA is a feasible way to describe UI and FI in adults with SB.

Hearing loss, depression, and cognition in younger and older adult CI candidates

Background and Aim

Hearing loss in old age is associated with cognitive decline and with depression. Our study aimed to investigate the relationship between hearing loss, cognitive decline, and secondary depressive symptoms in a sample of younger and older cochlear implant candidates with profound to severe hearing loss.

Methods

This study is part of a larger cohort study designated to provide information on baseline data before CI. Sixty-one cochlear implant candidates with hearing loss from adulthood onwards (>18 years) were enrolled in this study. All had symmetrical sensorineural hearing loss in both ears (four-frequency hearing threshold difference of no more than 20 dB, PTA). Individuals with primary affective disorders, psychosis, below-average intelligence, poor German language skills, visual impairment, and a medical diagnosis with potential impact on cognition (e.g., neurodegenerative diseases,) were excluded. Four-frequency hearing thresholds (dB, PTA, better ear) were collected. Using the Abbreviated Profile of Hearing Aid Benefit, we assessed subjective hearing in noise. Clinical and subclinical depressive symptoms were assessed with the Beck Depression Inventory (BDI II). Cognitive status was assessed with a neurocognitive test battery.

Results

Our findings revealed a significant negative association between subjective hearing in noise (APHAB subscale "Background Noise") and BDII. However, we did not observe any link between hearing thresholds, depression, and cognition. Additionally, no differences emerged between younger (25-54 years) and older subjects (55-75 years). Unexpectedly, further unplanned analyses unveiled correlations between subjective hearing in quiet environments (APHAB) and cognitive performance [phonemic fluency (Regensburg Word Fluency), cognitive flexibility (TMTB), and nonverbal episodic memory (Nonverbal Learning Test), as well as subjective hearing of aversive/loud sounds (APHAB)], cognitive performance [semantic word fluency (RWT), and inhibition (Go/Nogo) and depression]. Duration of hearing loss and speech recognition at quiet (Freiburg Monosyllables) were not related to depression and cognitive performance.

Conclusion

Impact of hearing loss on mood and cognition appears to be independent, suggesting a relationship with distinct aspects of hearing loss. These results underscore the importance of considering not only conventional audiometric measures like hearing thresholds but also variables related to hearing abilities during verbal communication in everyday life, both in quiet and noisy settings.

Smartphone-based ear-electroencephalography to study sound processing in everyday life

In everyday life, people differ in their sound perception and thus sound processing. Some people may be distracted by construction noise, while others do not even notice. With smartphone-based mobile ear-electroencephalography (ear-EEG), we can measure and quantify sound processing in everyday life by analysing presented sounds and also naturally occurring ones. Twenty-four participants completed four controlled conditions in the lab (1 h) and one condition in the office (3 h). All conditions used the same paired-click stimuli. In the lab, participants listened to click tones under four different instructions: no task towards the sounds, reading a newspaper article, listening to an audio article or counting a rare deviant sound. In the office recording, participants followed daily activities while they were sporadically presented with clicks, without any further instruction. In the beyond-the-lab condition, in addition to the presented sounds, environmental sounds were recorded as acoustic features (i.e., loudness, power spectral density and sounds onsets). We found task-dependent differences in the auditory event-related potentials (ERPs) to the presented click sounds in all lab conditions, which underline that neural processes related to auditory attention can be differentiated with ear-EEG. In the beyond-the-lab condition, we found ERPs comparable to some of the lab conditions. The N1 amplitude to the click sounds beyond the lab was dependent on the background noise, probably due to energetic masking. Contrary to our expectation, we did not find a clear ERP in response to the environmental sounds. Overall, we showed that smartphone-based ear-EEG can be used to study sound processing of well defined-stimuli in everyday life.

Reasons for ceiling ratings in real-life evaluations of hearing aids: the relationship between SNR and hearing aid ratings

Introduction

In past Ecological Momentary Assessment (EMA) studies, hearing aid outcome ratings have often been close to ceiling.

Methods

To analyze the underlying reasons for the very positive ratings, we conducted a study with 17 experienced hearing aid wearers who were fitted with study hearing aids. The acceptable noise level and the noise level where participants were unable to follow speech were measured. The participants then rated hearing aid satisfaction, speech understanding and listening effort for pre-defined SNRs between -10 and +20 dB SPL in the laboratory. These ratings were compared to ratings of a two-week EMA trial. Additionally, estimates of SNRs were collected from hearing aids during the EMA trial and we assessed whether the participants experienced those SNRs rated poorly in the laboratory in real life.

Results

The results showed that for hearing aid satisfaction and speech understanding, the full rating scale was used in the laboratory, while the ratings in real life were strongly skewed towards the positive end of the scale. In the laboratory, SNRs where participants indicated they could not follow the narrator ("unable to follow" noise level) were rated clearly better than the lowest possible ratings. This indicates that very negative ratings may not be applicable in real-life testing. The lower part of the distribution of real-life SNR estimates was related to participants' individual "unable to follow" noise levels and the SNRs which were rated poorly in the laboratory made up less than 10% of the speech situations experienced in real life.

Discussion

This indicates that people do not seem to frequently experience listening situations at SNRs where they are dissatisfied with their hearing aids and this could be the reason for the overly positive hearing aid outcome ratings in EMA studies. It remains unclear to what extent the scarcity of such situations is due lack of encounters or intentional avoidance.

Auditory Environments and Hearing Aid Feature Activation Among Younger and Older Listeners in an Urban and Rural Area

OBJECTIVES

The purpose of this study was to investigate differences in auditory environments and hearing aid feature activation between younger listeners with normal hearing and older listeners with hearing loss in an urban and rural location. We hypothesized that (1) urban dwellers and younger listeners would encounter more diverse and demanding auditory environments than rural dwellers and older listeners, respectively; (2) the advanced hearing aid features (noise reduction and directional microphone) of urban dwellers and younger listeners would be activated more frequently than rural dwellers and older listeners, respectively.

DESIGN

The design of this study was cross-sectional with repeated measures. A total of 12 older adults with hearing loss (OHL-U) and 11 younger adults with normal hearing (YNH-U) were recruited from an urban area (Berkeley, California) and 13 older adults with hearing loss (OHL-R) and 10 YNH-U were recruited from a rural area (Iowa City, Iowa). Participants wore hearing aids that recorded data about their listening environments and completed ecological momentary assessments for 1 week.

RESULTS

The YNH-U group experienced higher sound pressure levels and hearing aid features were activated more frequently than in the OHL groups. The OHL-R group experienced significantly less diverse sound pressure levels than the YNH-U group. The YNH-R group had sound levels between the YNH-U group and the OHL groups but without significant differences from any other group. The YNH groups showed a greater likelihood of hearing aid feature activation than the OHL-R group.

CONCLUSIONS

Demographics affect auditory environments and the activation of hearing aid features. Younger urban dwellers have the most diverse or demanding auditory environments and hearing aid feature activation, and older, rural dwellers with hearing loss have the least diverse or demanding auditory environments and hearing aid feature activation. Future studies of real-world auditory environments and audiology intervention effectiveness should consider location in recruitment and interpretation of results.

Auditory environment diversity quantified using entropy from real-world hearing aid data

Introduction

Using data collected from hearing aid users' own hearing aids could improve the customization of hearing aid processing for different users based on the auditory environments they encounter in daily life. Prior studies characterizing hearing aid users' auditory environments have focused on mean sound pressure levels and proportions of environments based on classifications. In this study, we extend these approaches by introducing entropy to quantify the diversity of auditory environments hearing aid users encounter.

Materials and Methods

Participants from 4 groups (younger listeners with normal hearing and older listeners with hearing loss from an urban or rural area) wore research hearing aids and completed ecological momentary assessments on a smartphone for 1 week. The smartphone was programmed to sample the processing state (input sound pressure level and environment classification) of the hearing aids every 10 min and deliver an ecological momentary assessment every 40 min. Entropy values for sound pressure levels, environment classifications, and ecological momentary assessment responses were calculated for each participant to quantify the diversity of auditory environments encountered over the course of the week. Entropy values between groups were compared. Group differences in entropy were compared to prior work reporting differences in mean sound pressure levels and proportions of environment classifications. Group differences in entropy measured objectively from the hearing aid data were also compared to differences in entropy measured from the self-report ecological momentary assessment data.

Results

Auditory environment diversity, quantified using entropy from the hearing aid data, was significantly higher for younger listeners than older listeners. Entropy measured using ecological momentary assessment was also significantly higher for younger listeners than older listeners.

Discussion

Using entropy, we show that younger listeners experience a greater diversity of auditory environments than older listeners. Alignment of group entropy differences with differences in sound pressure levels and hearing aid feature activation previously reported, along with alignment with ecological momentary response entropy, suggests that entropy is a valid and useful metric. We conclude that entropy is a simple and intuitive way to measure auditory environment diversity using hearing aid data.

Real-life and real-time hearing aid experiences: Insights from self-initiated ecological momentary assessments and natural language analysis

Introduction

Smartphone technology can provide an effective means to bring real-life and (near-)real-time feedback from hearing aid wearers into the clinic. Ecological Momentary Assessment (EMA) encourages listeners to report on their experiences during or shortly after they take place in order to minimize recall bias, e.g., guided by surveys in a mobile application. Allowing listeners to describe experiences in their own words, further, ensures that answers are independent of predefined jargon or of how survey questions are formulated. Through these means, one can obtain ecologically valid sets of data, for instance during a hearing aid trial, which can support clinicians to assess the needs of their clients, provide directions for fine-tuning, and counselling. At a larger scale, such datasets would facilitate training of machine learning algorithms that could help hearing technology to anticipate user needs.

Methods

In this retrospective, exploratory analysis of a clinical data set, we performed a cluster analysis on 8,793 open-text statements, which were collected through self-initiated EMAs, provided by 2,301 hearing aid wearers as part of their hearing care. Our aim was to explore how listeners describe their daily life experiences with hearing technology in (near-)real-time, in their own words, by identifying emerging themes in the reports. We also explored whether identified themes correlated with the nature of the experiences, i.e., self-reported satisfaction ratings indicating a positive or negative experience.

Results

Results showed that close to 60% of listeners' reports related to speech intelligibility in challenging situations and sound quality dimensions, and tended to be valued as positive experiences. In comparison, close to 40% of reports related to hearing aid management, and tended to be valued as negative experiences.

Discussion

This first report of open-text statements, collected through self-initiated EMAs as part of clinical practice, shows that, while EMA can come with a participant burden, at least a subsample of motivated hearing aid wearers could use these novel tools to provide feedback to inform more responsive, personalized, and family-centered hearing care.

Bayesian analysis of Ecological Momentary Assessment (EMA) data collected in adults before and after hearing rehabilitation

This paper presents a new Bayesian method for analyzing Ecological Momentary Assessment (EMA) data and applies this method in a re-analysis of data from a previous EMA study. The analysis method has been implemented as a freely available Python package EmaCalc, RRID:SCR 022943. The analysis model can use EMA input data including nominal categories in one or more situation dimensions, and ordinal ratings of several perceptual attributes. The analysis uses a variant of ordinal regression to estimate the statistical relation between these variables. The Bayesian method has no requirements related to the number of participants or the number of assessments by each participant. Instead, the method automatically includes measures of the statistical credibility of all analysis results, for the given amount of data. For the previously collected EMA data, the analysis results demonstrate how the new tool can handle heavily skewed, scarce, and clustered data that were collected on ordinal scales, and present results on interval scales. The new method revealed results for the population mean that were similar to those obtained in the previous analysis by an advanced regression model. The Bayesian approach automatically estimated the inter-individual variability in the population, based on the study sample, and could show some statistically credible intervention results also for an unseen random individual in the population. Such results may be interesting, for example, if the EMA methodology is used by a hearing-aid manufacturer in a study to predict the success of a new signal-processing method among future potential customers.

Designing a Hearing Health Care Smartphone App With Ecological Momentary Assessment: A Qualitative Study of Audiologists' Perspectives

Purpose:

The purpose of this study was to explore the perspectives of audiologists to provide input into development of a smartphone application (app) to document the real-life listening difficulties and the listening environment of hearing aid candidates and users.

Method:

Two focus groups were conducted. Facilitators utilized a topic guide to generate participants' input and perspectives. The focus groups were audio-recorded and transcribed verbatim. The transcripts were then qualitatively analyzed using content analysis.

Study Sample:

The study samples were 10 audiologists (seven females) with 2- to 10-plus years of hearing aid fitting experience.

Results:

Three main categories were identified: (a) The mobile device app could provide meaningful information to help audiologists to counsel their clients, (b) the app could give clients an insight into their hearing difficulties, and (c) the app could help clients to self-manage their hearing condition.

Conclusion:

These findings suggest that audiologists may better understand their clients' real-life listening difficulties through the use of a mobile device app; however, further research is required to harness the benefits of such an app.

Assessment of Hearing-Related Lifestyle Based on the Common Sound Scenarios Framework

Purpose:

Auditory lifestyle can play a role in hearing care needs, and, as such, it needs to be considered when treating people with hearing loss. In this study, we propose a questionnaire consisting of 24 listening situations based on the Common Sound Scenarios (CoSS) framework.

Method:

Seventeen experienced hearing aid (HA) users filled out the Hearing-Related Lifestyle Questionnaire four times: Days 1, 2, 15, and 29. The questionnaire consisted of 24 listening situations that participants rated on frequency of occurrence, importance to hear well, difficulty to hear, and HA satisfaction. Four questionnaire outcomes were extracted from these ratings: richness of hearing-related lifestyle, hearing demand, hearing difficulty, and HA satisfaction. Additionally, the participants were asked whether any listening situations are not understandable or relatable, whether any situations are missing from the questionnaire, and whether the number of questions is acceptable. Test–retest reliability analyses were done to assess whether the questionnaire outcomes are reliable across the four reports. Correlation analyses were done to assess whether there is a relationship between the questionnaire outcomes.

Results:

The questionnaire outcomes have excellent reliability. The listening situations in the questionnaire are generally complete and relatable, and the number of questions is acceptable. Correlation analyses revealed that the questionnaire outcomes are related to each other.

Conclusions:

Currently, there are no other hearing-related lifestyle questionnaires that purely assess listening situations. The proposed questionnaire has the potential to add to our understanding of hearing-related lifestyle of people needing or undergoing hearing care.

Supplemental Material:

https://doi.org/10.23641/asha.21514044

Ecological Momentary Assessment to Obtain Signal Processing Technology Preference in Cochlear Implant Users

Background: To assess the performance of cochlear implant users, speech comprehension benefits are generally measured in controlled sound room environments of the laboratory. For field-based assessment of preference, questionnaires are generally used. Since questionnaires are typically administered at the end of an experimental period, they can be inaccurate due to retrospective recall. An alternative known as ecological momentary assessment (EMA) has begun to be used for clinical research. The objective of this study was to determine the feasibility of using EMA to obtain in-the-moment responses from cochlear implant users describing their technology preference in specific acoustic listening situations. Methods: Over a two-week period, eleven adult cochlear implant users compared two listening programs containing different sound processing technologies during everyday take-home use. Their task was to compare and vote for their preferred program. Results: A total of 205 votes were collected from acoustic environments that were classified into six listening scenes. The analysis yielded different patterns of voting among the subjects. Two subjects had a consistent preference for one sound processing technology across all acoustic scenes, three subjects changed their preference based on the acoustic scene, and six subjects had no conclusive preference for either technology. Conclusion: Results show that EMA is suitable for quantifying real-world self-reported preference, showing inter-subject variability in different listening environments. However, there is uncertainty that patients will not provide sufficient spontaneous feedback. One improvement for future research is a participant forced prompt to improve response rates.

Audiometric profiles and patterns of benefit: a data-driven analysis of subjective hearing difficulties and handicaps

OBJECTIVE

Hearing rehabilitation attempts to compensate for auditory dysfunction, reduce hearing difficulties and minimise participation restrictions that can lead to social isolation. However, there is no systematic approach to assess the quality of the intervention at an individual level that might help to evaluate the need of further hearing rehabilitation in the hearing care clinic.

DESIGN

A data-driven analysis on subjective data reflecting hearing disabilities and handicap was chosen to explore "benefit patterns" as a result of rehabilitation in different audiometric groups. The method was based on (1) dimensionality reduction; (2) stratification; (3) archetypal analysis; (4) clustering; (5) item importance estimation.

STUDY SAMPLE

572 hearing-aid users completed questionnaires of hearing difficulties (speech, spatial and qualities hearing scale; SSQ) and hearing handicap (HHQ).

RESULTS

The data-driven approach revealed four benefit profiles that were different for each audiometric group. The groups with low degree of high-frequency hearing loss (HLHF) showed a priority for rehabilitating hearing handicaps, whereas the groups with HLHF > 50 dB HL showed a priority for improvements in speech understanding.

CONCLUSIONS

The patterns of benefit and the stratification approach might guide the clinical intervention strategy and improve the efficacy and quality of service in the hearing care clinic.

Statistical Considerations for Analyzing Ecological Momentary Assessment Data

PURPOSE

The analysis of Ecological Momentary Assessment (EMA) data can be difficult to conceptualize due to the complexity of how the data are collected. The goal of this tutorial is to provide an overview of statistical considerations for analyzing observational data arising from EMA studies.

METHOD

EMA data are collected in a variety of ways, complicating the statistical analysis. We focus on fundamental statistical characteristics of the data and general purpose statistical approaches to analyzing EMA data. We implement those statistical approaches using a recent study involving EMA.

RESULTS

The linear or generalized linear mixed-model statistical approach can adequately capture the challenges resulting from EMA collected data if properly set up. Additionally, while sample size depends on both the number of participants and the number of survey responses per participant, having more participants is more important than the number of responses per participant.

CONCLUSION

Using modern statistical methods when analyzing EMA data and adequately considering all of the statistical assumptions being used can lead to interesting and important findings when using EMA.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.17155961.

Live Evaluation of Auditory Preference, a Laboratory Test for Evaluating Auditory Preference

BACKGROUND

 Many laboratory tests are performed under unrealistic conditions. Tasks, such as repeating words or sentences, are performed in simple loudspeaker setups. Currently, many research groups focus on realistic audiovisual laboratory setups. Fewer groups focus on the tasks performed during testing.

PURPOSE

 A semicontrolled laboratory test method focusing on the tasks performed, the Live Evaluation of Auditory Preference (LEAP) was evaluated. LEAP is developed to evaluate hearing-instrument performance in test scenarios that represent everyday listening situations.

RESEARCH DESIGN

 LEAP was evaluated in a feasibility study. The method comprises conversations between a test participant and one or two test leaders, enabling evaluation of the test participant's own voice. The method allows for visual cues (when relevant) and introduce social pressure to participate in the conversation. In addition, other everyday listening tasks, such as watching television (TV) and listening to radio, are included. In this study, LEAP was used to assess preference for two hearing aid settings using paired comparisons.

STUDY SAMPLE

 Nineteen experienced hearing aid users (13 females and 6 males; mean age 74 years), participated in the study.

DATA COLLECTION AND ANALYSIS

 LEAP was performed at three visits to the laboratory. In addition, participants conducted a field trial where the two hearing aid programs were compared using Ecological Momentary Assessments (EMA). During LEAP testing, six mandatory test cases were used, representing commonly occurring everyday listening situations. Individual test cases were also included, selected from individually experienced listening situations during the field trial. Within- and between-session reliability of the LEAP test was investigated. Validity was investigated by comparing the LEAP and the EMA results.

RESULTS

 For the current signal-processing evaluation, the test was judged to have acceptable reliability and validity. The inclusion of individually selected test cases increased the representativeness of the LEAP test, but it did not substantially alter the results in the current study.

CONCLUSION

 LEAP in its current implementation seems suitable for investigating signal-processing preference in the laboratory in a way that is indicative of everyday preference. The LEAP method represents one step forward in bringing the real world into the laboratory.

Real-World Hearing Aid Usage Patterns and Smartphone Connectivity

Data for monitoring individual hearing aid usage has historically been limited to retrospective questionnaires or data logged intrinsically in the hearing aid cumulatively over time (e. g., days or more). This limits the investigation of longitudinal interactions between hearing aid use and environmental or behavioral factors. Recently it has become possible to analyze remotely logged hearing aid data from in-market and smartphone compatible hearing aids. This can provide access to novel insights about individual hearing aid usage patterns and their association to environmental factors. Here, we use remotely logged longitudinal data from 64 hearing aid users to establish basic norms regarding smartphone connectivity (i.e., comparing remotely logged data with cumulative true hearing aid on-time) and to assess whether such data can provide representative information about ecological usage patterns. The remotely logged data consists of minute-by-minute timestamped logs of cumulative hearing aid on-time and characteristics of the momentary acoustic environment. Using K-means clustering, we demonstrate that hourly hearing aid usage patterns (i.e., usage as minutes/hour) across participants are separated by four clusters that account for almost 50% of the day-to-day variation. The clusters indicate that hearing aids are worn either sparsely throughout the day; early morning to afternoon; from noon to late evening; or across the day from morning to late evening. Using linear mixed-effects regression modeling, we document significant associations between daily signal-to-noise, sound intensity, and sound diversity with hearing aid usage. Participants encounter louder, noisier, and more diverse sound environments the longer the hearing aids are worn. Finally, we find that remote logging via smartphones underestimates the daily hearing aid usage with a pooled median of 1.25 h, suggesting an overall connectivity of 85%. The 1.25 h difference is constant across days varying in total hearing aid on-time, and across participants varying in average daily hearing aid-on-time, and it does not depend on the identified patterns of daily hearing aid usage. In sum, remote data logging with hearing aids has high representativeness and face-validity, and can offer ecologically true information about individual usage patterns and the interaction between usage and everyday contexts.

The Virtual Reality Lab: Realization and Application of Virtual Sound Environments

To assess perception with and performance of modern and future hearing devices with advanced adaptive signal processing capabilities, novel evaluation methods are required that go beyond already established methods. These novel methods will simulate to a certain extent the complexity and variability of acoustic conditions and acoustic communication styles in real life. This article discusses the current state and the perspectives of virtual reality technology use in the lab for designing complex audiovisual communication environments for hearing assessment and hearing device design and evaluation. In an effort to increase the ecological validity of lab experiments, that is, to increase the degree to which lab data reflect real-life hearing-related function, and to support the development of improved hearing-related procedures and interventions, this virtual reality lab marks a transition from conventional (audio-only) lab experiments to the field. The first part of the article introduces and discusses the notion of the communication loop as a theoretical basis for understanding the factors that are relevant for acoustic communication in real life. From this, requirements are derived that allow an assessment of the extent to which a virtual reality lab reflects these factors, and which may be used as a proxy for ecological validity. The most important factor of real-life communication identified is a closed communication loop among the actively behaving participants. The second part of the article gives an overview of the current developments towards a virtual reality lab at Oldenburg University that aims at interactive and reproducible testing of subjects with and without hearing devices in challenging communication conditions. The extent to which the virtual reality lab in its current state meets the requirements defined in the first part is discussed, along with its limitations and potential further developments. Finally, data are presented from a qualitative study that compared subject behavior and performance in two audiovisual environments presented in the virtual reality lab-a street and a cafeteria-with the corresponding field environments. The results show similarities and differences in subject behavior and performance between the lab and the field, indicating that the virtual reality lab in its current state marks a step towards more ecological validity in lab-based hearing and hearing device research, but requires further development towards higher levels of ecological validity.

Critical hearing experiences manifest differently across individuals: insights from hearing aid data captured in real-life moments

OBJECTIVE

We investigated whether contrasts between situations of good and difficult listening experiences could be identified in objective hearing aid (HA) data, with the aim to use these insights for personalisation of hearing care.

DESIGN

The participants were asked to fill out an ecological momentary assessment (EMA) report every time they encountered a good or difficult listening experience for a period of two weeks. During EMA reporting, the participants described their listening environment and why it was difficult while objective HA data describing the sound environment, activated HA features and gain were logged.

STUDY SAMPLE

Sixteen experienced HA users completed the study.

RESULTS

The group level objective HA data indicated that participants experienced difficulties in typical speech in noise environments. Data from 14/16 participants showed individual contrasts that were not seen on the group level, indicating that hearing challenges do not manifest themselves the same across persons.

CONCLUSIONS

The objective data from real-life experiences add to our understanding of the difficulty of the situation. The fact that data between individuals varied so much emphasises the importance of considering each person as an individual when treating their hearing loss.

The Quest for Ecological Validity in Hearing Science: What It Is, Why It Matters, and How to Advance It

Ecological validity is a relatively new concept in hearing science. It has been cited as relevant with increasing frequency in publications over the past 20 years, but without any formal conceptual basis or clear motive. The sixth Eriksholm Workshop was convened to develop a deeper understanding of the concept for the purpose of applying it in hearing research in a consistent and productive manner. Inspired by relevant debate within the field of psychology, and taking into account the World Health Organization's International Classification of Functioning, Disability, and Health framework, the attendees at the workshop reached a consensus on the following definition: "In hearing science, ecological validity refers to the degree to which research findings reflect real-life hearing-related function, activity, or participation." Four broad purposes for striving for greater ecological validity in hearing research were determined: A (Understanding) better understanding the role of hearing in everyday life; B (Development) supporting the development of improved procedures and interventions; C (Assessment) facilitating improved methods for assessing and predicting ability to accomplish real-world tasks; and D (Integration and Individualization) enabling more integrated and individualized care. Discussions considered the effects of variables and phenomena commonly present in hearing-related research on the level of ecological validity of outcomes, supported by examples from a few selected outcome domains and for different types of studies. Illustrated with examples, potential strategies were offered for promoting a high level of ecological validity in a study and for how to evaluate the level of ecological validity of a study. Areas in particular that could benefit from more research to advance ecological validity in hearing science include: (1) understanding the processes of hearing and communication in everyday listening situations, and specifically the factors that make listening difficult in everyday situations; (2) developing new test paradigms that include more than one person (e.g., to encompass the interactive nature of everyday communication) and that are integrative of other factors that interact with hearing in real-life function; (3) integrating new and emerging technologies (e.g., virtual reality) with established test methods; and (4) identifying the key variables and phenomena affecting the level of ecological validity to develop verifiable ways to increase ecological validity and derive a set of benchmarks to strive for.

Objective Assessment of Speech Intelligibility in Crowded Public Spaces

The objective of this study was to obtain a normative database of speech intelligibility data for young normal-hearing listeners communicating in public spaces. A total of 174 listeners participated in an interactive speech intelligibility task that required four-person groups to conduct a live version of the Modified Rhyme Test in noisy public spaces. The public spaces tested included a college library, a college cafeteria, a casual dining restaurant during lunch hour, and a crowded bar during happy hour. At the start of each trial, one of the participants was randomly selected as the talker, and a tablet computer was used to prompt them to say a word aloud from the Modified Rhyme Test. Then, the other three participants were required to select this word from one of six rhyming alternatives displayed on three other tablet computers. The tablet computers were also used to record the SPL at each listener location during and after the interval where the target talker was speaking. These SPL measurements were used to estimate the signal-to-noise ratio (SNR) in each trial of the experiment. As expected, the results show that speech intelligibility decreases, response time increases, and perceived difficulty increases as the background noise level increases. There was also a systematic decrease in SNR with increasing background noise, with SNR decreasing 0.44 dB for every 1 dB increase in ambient noise level above 60 dB. Overall, the results of this study have demonstrated how low-cost tablet computer-based data collection systems can be used to collect live-talker speech intelligibility data in real-world environments. We believe these techniques could be adapted for use in future studies focused on obtaining ecologically valid assessments of the effects of age, hearing impairment, amplification, and other factors on speech intelligibility performance in real-world environments.

Individual Hearing Aid Benefit in Real Life Evaluated Using Ecological Momentary Assessment

Ecological momentary assessment (EMA) was used in 24 adults with mild-to-moderate hearing loss who were seeking first hearing-aid (HA) fitting or HA renewal. At two stages in the aural rehabilitation process, just before HA fitting and after an average 3-month HA adjustment period, the participants used a smartphone-based EMA system for 3 to 4 days. A questionnaire app allowed for the description of the environmental context as well as assessments of various hearing-related dimensions and of well-being. In total, 2,042 surveys were collected. The main objectives of the analysis were threefold: First, describing the "auditory reality" of future and experienced HA users; second, examining the effects of HA fitting for individual participants, as well as for the subgroup of first-time HA-users; and third, reviewing whether the EMA data collected in the unaided condition predicted who ultimately decided for or against permanent HA use. The participants reported hearing-related disabilities across the full range of daily listening tasks, but communication events took the largest share. The effect of the HA intervention was small in experienced HA users. Generally, much larger changes and larger interindividual differences were observed in first-time compared with experienced HA users in all hearing-related dimensions. Changes were not correlated with hearing loss or with the duration of the HA adjustment period. EMA data collected in the unaided condition did not predict the cancelation of HA fitting. The study showed that EMA is feasible in a general population of HA candidates for establishing individual and multidimensional profiles of real-life hearing experiences.

Changing the narrative for hearing health in the broader context of healthy living: a call to action

OBJECTIVE

To discuss the steps necessary to facilitate hearing health care in the context of well-being and healthy living.

DESIGN

Common themes among the articles in this special supplement of the International Journal of Audiology were used to identify issues that must be addressed if audiology is to move from being hearing-focussed to taking a holistic perspective of hearing care in the context of healthy aging. These are discussed within the context of other published literature.

RESULTS AND CONCLUSIONS

Three needs were identified: (i) Increased interdisciplinary education to raise awareness of the interplay between hearing and health. (ii) Increased emphasis on counselling education in audiology programs so that audiologists are equipped with the knowledge, competence and confidence to provide counselling and emotional support to their patients, beyond care. (iii) Redefinition of therapeutic goal setting and hearing outcomes to include aspects of well-being, so that audiologists can capture and patients realise that that good hearing outcomes can have a direct positive impact on a person's quality of life that extends beyond their improved ability to hear. It was emphasised that each of these needs to be considered within the context of the audiologists' scope of practice and audiologists' well-being.