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.

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.

Rationale, Theoretical Underpinnings, and Design of HEAR-aware: Providing Adults With Hearing Loss With Tailored Support to Self-Manage Their Hearing Problems via a Smartphone App, as an Alternative to Hearing Aids.

Purpose An alarming two thirds of adults aged 50 years or over with hearing impairment who could benefit from hearing aids do not own any, leaving these adults with no support to self-manage their hearing problems. In the HEAR-aware project, it is hypothesized that self-management can be facilitated via a smartphone app if its educational content is tailored to a person's dynamic stage of readiness to take action on their hearing (stage of change) and to a person's dynamic acoustical situations (as measured via a wearable microphone) and associated challenges (as captured via ecological momentary assessment). As such, the HEAR-aware app would be an ecological momentary intervention. This research note describes the rationale and theoretical underpinnings of the app, as well as the rationale for planning a series of studies to develop and evaluate it. Study Designs After a preparatory phase, Study 1 includes qualitative group interviews to assess user needs. Next, a creative session will be held, in which all stakeholders involved will work toward a specified version of the app. Subsequently, prototypes of the app will be developed and pilot-tested (Pilot Studies 2A and 2B). Users' usage and ratings (usability and quality indicators) of the app's elements will be examined and processed in the app. Lastly, the effectiveness of the app's final version will be examined in a randomized controlled trial (Study 3). Discussion The project's merits and challenges will be discussed.

Auditory Training Supports Auditory Rehabilitation: A State-of-the-Art Review.

OBJECTIVES: Auditory training (AT), which is active listening to various auditory stimuli, aims to improve auditory skills. There is evidence that AT can be used as a tool in auditory rehabilitation to improve speech perception and other auditory cognitive skills in individuals with hearing impairment. The present state-of-the-art review examines the effect of AT on communication abilities in individuals with hearing impairment. In particular, transfer of AT effects on performance in untrained speech perception tasks was evaluated. DESIGN: PubMed, Medline, and Web of Science databases were searched using combinations of key words with restriction to the publication date from December 2012 until December 2018. The participant, intervention, control, outcome, and study design criteria were used for the inclusion of articles. Only studies comparing effects in an intervention group to a control group were considered. The target group included individuals with a mild to moderately severe hearing impairment, with and without hearing-aid experience. Out of 265 article abstracts reviewed, 16 met the predefined criteria and were taken for review. RESULTS: The majority of studies that were included in this state of- the-art review report at least one outcome measure that shows an improvement in non-trained tasks after a period of intense AT. However, observed shortcomings are that a comparison between studies remains difficult as training benefits were assessed with various outcome measures. Also, the sustainability of training benefits was not investigated sufficiently. CONCLUSIONS: Recent evidence suggests that intensive auditory (-cognitive) training protocols are a valid tool to improve auditory communication skills. Individuals with hearing impairment seem to benefit the most using a combination of sensory rehabilitation with hearing aids and AT to enhance auditory rehabilitation. Long term benefits of AT are still not consistently observed and should be in the focus of future research.

Predictors of Purchasing a Hearing Aid After an Evaluation Period: A Prospective Study in Dutch Older Hearing Aid Candidates.

Purpose The current study aimed to identify factors that distinguish between older (50+ years) hearing aid (HA) candidates who do and do not purchase HAs after having gone through an HA evaluation period (HAEP). Method Secondary data analysis of the SUpport PRogram trial was performed (n = 267 older, 1st-time HA candidates). All SUpport PRogram participants started an HAEP shortly after study enrollment. Decision to purchase an HA by the end of the HAEP was the outcome of interest of the current study. Participants' baseline covariates (22 in total) were included as candidate predictors. Multivariable logistic regression modeling (backward selection and reclassification tables) was used. Results Of all candidate predictors, only pure-tone average (average of 1, 2, and 4 kHz) hearing loss emerged as a significant predictor (odds ratio = 1.03, 95% confidence interval [1.03, 1.17]). Model performance was weak (Nagelkerke R 2 = .04, area under the curve = 0.61). Conclusions These data suggest that, once HA candidates have decided to enter an HAEP, factors measured early in the help-seeking journey do not predict well who will and will not purchase an HA. Instead, factors that act during the HAEP may hold this predictive value. This should be examined.

Innovation in the Context of Audiology and in the Context of the Internet.

PURPOSE: This article explores different meanings of innovation within the context of audiology and the Internet. Case studies are used to illustrate and elaborate on the new types of innovation and their levels of impact. METHOD: The article defines innovation, providing case studies illustrating a taxonomy of innovation types. RESULTS: Innovation ranges from minor changes in technology implemented on existing platforms to radical or disruptive changes that provide exceptional benefits and transform markets. Innovations within the context of audiology and the Internet can be found across that range. The case studies presented demonstrate that innovations in hearing care can span across a number of innovation types and levels of impact. Considering the global need for improved access and efficiency in hearing care, innovations that demonstrate a sustainable impact on a large scale, with the potential to rapidly upscale this impact, should be prioritized. CONCLUSIONS: It is unclear presently what types of innovations are likely to have the most profound impacts on audiology in the coming years. In the best case, they will lead to more efficient, effective, and widespread availability of hearing health on a global scale.

Verbal Response Times as a Potential Indicator of Cognitive Load During Conventional Speech Audiometry With Matrix Sentences.

This study examined verbal response times-that is, the duration from stimulus offset to voice onset-as a potential measure of cognitive load during conventional testing of speech-in-noise understanding. Response times were compared with a measure of perceived effort as assessed by listening effort scaling. Three listener groups differing in age and hearing status participated in the study. Testing was done at two target intelligibility levels (80%, 95%) and with two noise types (stationary and fluctuating). Verbal response times reflected effects of intelligibility level, noise type, and listener group. Response times were shorter for 95% compared with 80% target intelligibility, shorter for fluctuating compared with stationary noise, and shorter for young listeners compared with older listeners. Responses were also faster for the older listeners with near normal hearing compared with the older hearing-aid users. In contrast, subjective listening effort scaling predominantly revealed effects of target intelligibility level but did not show consistent noise-type or listener-group effects. These findings show that verbal response times and effort scalings tap into different domains of listening effort. Verbal response times can be easily assessed during conventional speech audiometry and have the potential to show effects beyond performance measures and subjective effort estimates.

Comorbidities of hearing loss and the implications of multimorbidity for audiological care.

With increasing age, the risk of developing chronic health conditions also increases, and many older people suffer from multiple co-existing health conditions, i.e., multimorbidity. One common health condition at older age is hearing loss (HL). The current article reflects on the implications for audiological care, when HL is one of several health conditions in a multimorbidity. An overview of health conditions often co-existing with HL, so called comorbidities, is provided, including indications for the strength of the associations. The overview is based on a literature study examining cohort studies that were published in the years 2010-2018 and examined associations of hearing loss with other health conditions, namely Visual impairment, Mobility restrictions, Cognitive impairment, Psychosocial health problems, Diabetes, Cardiovascular diseases, Stroke, Arthritis, and Cancer. This selection was based on previous publications on common chronic health conditions at older age and comorbidities of hearing loss. For all of these health conditions, it was found that prevalence is larger in people with a HL and several longitudinal studies also found increased incident rates in people with a HL. The examined publications provide little information on how hearing loss should be managed in the clinical care of its comorbidities and vice versa. The current article discusses several options for adaptations of current care. Nonetheless, solutions for an integrated audiology care model targeting HL in a multimorbidity are still lacking and should be subject to future research.

Behavioral Assessment of Listening Effort Using a Dual-Task Paradigm.

Published investigations ( n = 29) in which a dual-task experimental paradigm was employed to measure listening effort during speech understanding in younger and older adults were reviewed. A summary of the main findings reported in the articles is provided with respect to the participants' age-group and hearing status. Effects of different signal characteristics, such as the test modality, on dual-task outcomes are evaluated, and associations with cognitive abilities and self-report measures of listening effort are described. Then, several procedural issues associated with the use of dual-task experiment paradigms are discussed. Finally, some issues that warrant future research are addressed. The review revealed large variability in the dual-task experimental paradigms that have been used to measure the listening effort expended during speech understanding. The differences in experimental procedures used across studies make it difficult to draw firm conclusions concerning the optimal choice of dual-task paradigm or the sensitivity of specific paradigms to different types of experimental manipulations. In general, the analysis confirmed that dual-task paradigms have been used successfully to measure differences in effort under different experimental conditions, in both younger and older adults. Several research questions that warrant further investigation in order to better understand and characterize the intricacies of dual-task paradigms were identified.

Cognitive Load and Listening Effort: Concepts and Age-Related Considerations.

Listening effort has been recognized as an important dimension of everyday listening, especially with regard to the comprehension of spoken language. At constant levels of comprehension performance, the level of effort exerted and perceived during listening can differ considerably across listeners and situations. In this article, listening effort is used as an umbrella term for two different types of effort that can arise during listening. One of these types is processing effort, which is used to denote the utilization of "extra" mental processing resources in listening conditions that are adverse for an individual. A conceptual description is introduced how processing effort could be defined in terms of situational influences, the listener's auditory and cognitive resources, and the listener's personal state. Also, the proposed relationship between processing effort and subjectively perceived listening effort is discussed. Notably, previous research has shown that the availability of mental resources, as well as the ability to use them efficiently, changes over the course of adult aging. These common age-related changes in cognitive abilities and their neurocognitive organization are discussed in the context of the presented concept, especially regarding situations in which listening effort may be increased for older people.

Speech-in-speech listening on the LiSN-S test by older adults with good audiograms depends on cognition and hearing acuity at high frequencies.

OBJECTIVES: The main objective was to investigate age-related differences on the listening in spatialized noise-sentences (LiSN-S) test in adults with normal audiometric thresholds in most of the speech range. A second objective was to examine the contributions of auditory, cognitive, and linguistic abilities to LiSN-S outcomes. DESIGN: The LiSN-S test was administered to participants in an older group (M(Age) = 72.0, SD = 4.3 years) and a younger group (M(Age) = 21.7, SD = 2.6 years) with N = 26 per group. All the participants had clinically normal audiometric thresholds at frequencies up to and including 3000 Hz. The LiSN-S test yields a speech reception threshold (SRT) in each of the four speech-in-speech listening conditions that differ in the availability of voice difference cues and/or spatial separation cues. Based on these four SRTs, the scores were calculated for the talker advantage, the spatial advantage, and the total advantage as a result of both the types of cues. Additionally, the participants completed four auditory temporal-processing tests, a cognitive screening test, a vocabulary test, and tests of linguistic closure for high- and low-context sentences. The contributions of these predictor variables and measures of pure-tone hearing acuity to LiSN-S outcomes were analyzed for both the groups using regression analyses. RESULTS: Younger listeners outperformed the older listeners on all four LiSN-S SRTs and all the three LiSN-S advantage measures. Age-related differences were larger for conditions involving the use of spatial cues. For the younger group, all LiSN-S SRTs were predicted by the measure of linguistic closure in low-context sentences; in addition, the SRT for the condition with voice difference cues but without spatial separation cues was predicted by vocabulary, and the SRT for the condition with both voice difference cues and spatial separation cues was predicted by temporal resolution at low frequencies. Vocabulary also contributed to the talker advantage in the younger group, whereas the spatial advantage was predicted by high-frequency pure-tone hearing acuity in the range 6,000 to 10,000 Hz (pure-tone average [PTA](HIGH)). For the older group, the LiSN-S SRT in the condition with neither voice difference cues nor spatial separation cues was predicted by age; their other three LiSN-S SRTs and all advantage measures were predicted by PTA(HIGH). In addition, for the older group, cognition predicted LiSN-S SRT outcomes in three of the four conditions. Measures of auditory temporal processing, linguistic abilities, or hearing acuity up to and including 4000 Hz did not predict LiSN-S outcomes in this group. CONCLUSIONS: LiSN-S outcomes were poorer for adults aged 65 years or older, even those with good audiograms, compared with younger adults and also compared with people up to the age of 60 years from a previous study. In the present study, regardless of the types of cues, auditory and cognitive interactions were reflected by the combined influences on LiSN-S outcomes of high-frequency hearing acuity and measures of linguistic and cognitive processing. The data also suggest a hierarchy in the deployment of processing resources, which would account for the observed shift from linguistic abilities in the younger group to general cognitive abilities in the older group.

How linguistic closure and verbal working memory relate to speech recognition in noise--a review.

The ability to recognize masked speech, commonly measured with a speech reception threshold (SRT) test, is associated with cognitive processing abilities. Two cognitive factors frequently assessed in speech recognition research are the capacity of working memory (WM), measured by means of a reading span (Rspan) or listening span (Lspan) test, and the ability to read masked text (linguistic closure), measured by the text reception threshold (TRT). The current article provides a review of recent hearing research that examined the relationship of TRT and WM span to SRTs in various maskers. Furthermore, modality differences in WM capacity assessed with the Rspan compared to the Lspan test were examined and related to speech recognition abilities in an experimental study with young adults with normal hearing (NH). Span scores were strongly associated with each other, but were higher in the auditory modality. The results of the reviewed studies suggest that TRT and WM span are related to each other, but differ in their relationships with SRT performance. In NH adults of middle age or older, both TRT and Rspan were associated with SRTs in speech maskers, whereas TRT better predicted speech recognition in fluctuating nonspeech maskers. The associations with SRTs in steady-state noise were inconclusive for both measures. WM span was positively related to benefit from contextual information in speech recognition, but better TRTs related to less interference from unrelated cues. Data for individuals with impaired hearing are limited, but larger WM span seems to give a general advantage in various listening situations.

New measures of masked text recognition in relation to speech-in-noise perception and their associations with age and cognitive abilities.

PURPOSE: In this research, the authors aimed to increase the analogy between Text Reception Threshold (TRT; Zekveld, George, Kramer, Goverts, & Houtgast, 2007) and Speech Reception Threshold (SRT; Plomp & Mimpen, 1979) and to examine the TRT's value in estimating cognitive abilities that are important for speech comprehension in noise. METHOD: The authors administered 5 TRT versions, SRT tests in stationary (SRT(STAT)) and modulated (SRT(MOD)) noise, and 2 cognitive tests: a reading span (RSpan) test for working memory capacity and a letter-digit substitution test for information-processing speed. Fifty-five adults with normal hearing (18-78 years, M = 44 years) participated. The authors examined mutual associations of the tests and their predictive value for the SRTs with correlation and linear regression analyses. RESULTS: SRTs and TRTs were well associated, also when controlling for age. Correlations for the SRT(STAT) were generally lower than for the SRT(MOD.) The cognitive tests were correlated to the SRTs only when age was not controlled for. Age and the TRTs were the only significant predictors of SRT(MOD). SRT(STAT) was predicted by level of education and some of the TRT versions. CONCLUSIONS: TRTs and SRTs are robustly associated, nearly independent of age. The association between SRTs and RSpan is largely age dependent. The TRT test and the RSpan test measure different nonauditory components of linguistic processing relevant for speech perception in noise.