scholarly journals Clustering Users Based on Hearing Aid Use: An Exploratory Analysis of Real-World Data

2021 ◽  
Vol 3 ◽  
Author(s):  
Alessandro Pasta ◽  
Tiberiu-Ioan Szatmari ◽  
Jeppe Høy Christensen ◽  
Kasper Juul Jensen ◽  
Niels Henrik Pontoppidan ◽  
...  

While the assessment of hearing aid use has traditionally relied on subjective self-reported measures, smartphone-connected hearing aids enable objective data logging from a large number of users. Objective data logging allows to overcome the inaccuracy of self-reported measures. Moreover, data logging enables assessing hearing aid use with a greater temporal resolution and longitudinally, making it possible to investigate hourly patterns of use and to account for the day-to-day variability. This study aims to explore patterns of hearing aid use throughout the day and assess whether clusters of users with similar use patterns can be identified. We did so by analyzing objective hearing aid use data logged from 15,905 real-world users over a 4-month period. Firstly, we investigated the daily amount of hearing aid use and its within-user and between-user variability. We found that users, on average, used the hearing aids for 10.01 h/day, exhibiting a substantial between-user (SD = 2.76 h) and within-user (SD = 3.88 h) variability. Secondly, we examined hearing aid use hourly patterns by clustering 453,612 logged days into typical days of hearing aid use. We identified three typical days of hearing aid use: full day (44% of days), afternoon (27%), and sporadic evening (26%) day of hearing aid use. Thirdly, we explored the usage patterns of the hearing aid users by clustering the users based on the proportion of time spent in each of the typical days of hearing aid use. We found three distinct user groups, each characterized by a predominant (i.e., experienced ~60% of the time) typical day of hearing aid use. Notably, the largest user group (49%) of users predominantly had full days of hearing aid use. Finally, we validated the user clustering by training a supervised classification ensemble to predict the cluster to which each user belonged. The high accuracy achieved by the supervised classifier ensemble (~86%) indicated valid user clustering and showed that such a classifier can be successfully used to group new hearing aid users in the future. This study provides a deeper insight into the adoption of hearing care treatments and paves the way for more personalized solutions.

2014 ◽  
Vol 25 (02) ◽  
pp. 187-198 ◽  
Author(s):  
Ariane Laplante-Lévesque ◽  
Claus Nielsen ◽  
Lisbeth Dons Jensen ◽  
Graham Naylor

Background: Previous studies found that, on average, users overreport their daily amount of hearing aid use compared to objective measures such as data logging. However, the reasons for this are unclear. Purpose: This study assessed data-logged and self-reported amount of hearing aid use in a clinical sample of hearing aid users. It identified predictors of data-logged hearing aid use, self-reported hearing aid use, and hearing aid use overreport. Research Design: This observational study recruited adult hearing aid users from 22 private dispensers in the Netherlands and in Denmark. Study Sample: The sample consisted of 228 hearing aid users. Typical participants were over the age of 65 and retired, were fitted binaurally, and had financially contributed to the cost of their hearing aids. Participants had on average a mild-to-severe sloping bilateral hearing impairment. Data Collection and Analysis: Participants completed a purposefully designed questionnaire regarding hearing aid usage and the International Outcome Inventory—Hearing Aids. Dispensers collected audiometric results and data logging. Multiple linear regression identified predictors of data-logged hearing aid use, self-reported hearing aid use, and hearing aid use overreport when controlling for covariates. Results: Data logging showed on average 10.5 hr of hearing aid use (n = 184), while participants reported on average 11.8 hr of daily hearing aid use (n = 206). In participants for which both data-logged and self-reported hearing aid use data were available (n = 166), the average absolute overreport of daily hearing aid use was 1.2 (1 hr and 11 min). Relative overreport was expressed as a rate of absolute overreport divided by data-logged hearing aid use. A positive rate denotes hearing aid use overreport: the average overreport rate was .38. Cluster analysis identified two data-logged patterns: “Regular,” where hearing aids are typically switched on for between 12 and 20 hr before their user powers them off (57% of the sample), and “On-off,” where hearing aids are typically switched on for shorter periods of time before being powered off (43% of the sample). In terms of self-report, 77% of the sample described their hearing aid use to be the same every day, while 23% of the sample described their hearing aid use to be different from day to day. Participants for whom data logging showed an On-off pattern or who reported their hearing aid use to be different from day to day had significantly fewer data-logged and self-reported hours of hearing aid use. Having an On-off data-logging pattern or describing hearing aid use as the same every day was associated with a significantly greater hearing aid use overreport. Conclusions: Data-logged and self-reported usage patterns significantly predicted data-logged hearing aid use, self-reported hearing aid use, and overreport when controlling for covariates. The results point to patterns of hearing aid usage as being at least as important a concept as amount of hearing aid use. Dispensers should discuss not only the “how much”, but also the “how” of hearing aid usage with their clients.


2021 ◽  
Vol 3 ◽  
Author(s):  
Jeppe Høy Christensen ◽  
Gabrielle H. Saunders ◽  
Lena Havtorn ◽  
Niels H. Pontoppidan

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.


2011 ◽  
Vol 22 (01) ◽  
pp. 034-048 ◽  
Author(s):  
Shilpi Banerjee

Background: Automatic DSP (digital signal processing) features, widely available in hearing aids today, are useful because they alleviate the need for the hearing aid wearer to manually adjust the hearing aid as listening conditions change. Although the theoretical basis for the design of these features may be sound, little is known about their behavior in the real world. Data logging offers a glimpse into the life of the individual hearing aid wearer, but there are no published data to date that provide a frame of reference for the interpretation of this information. Further, data logging in hearing aids provides only aggregate summaries for individual features, ignoring complex interactions including the differences between the left and right sides of a bilateral pair. Purpose: The purpose of this study was to determine the typical behavior of three automatic DSP hearing aid features—expansion, directionality, and noise management—in daily life. Data Collection and Analysis: Ten individuals with hearing impairment were fitted bilaterally with BTE (behind the ear) hearing aids. The hearing aids were programmed for the individual's hearing loss with expansion, directionality, and noise management set to activate automatically. A PDA (personal digital assistant) logged the input level and status of expansion, directionality, and noise management from both devices at 5 sec intervals. Data were gathered in this manner over a period of 4–5 wk. Results: A total of 741 hr of hearing aid use were logged, 50% of which were spent in environments no louder than 50 dB SPL. Expansion, directionality, and noise management were active 45, 10, and 21% of the time, respectively; the median amount of gain reduction for noise management was ˜1 dB. Although expansion and noise management were always active at the low and high input levels, respectively, activation of directionality never exceeded 50%. Expansion and noise management were sometimes active simultaneously, as were directionality and noise management. Bilateral agreement in feature activation typically exceeded 80%, except when the input level was at the cusp of a threshold for activation of a specific feature and at high input levels.


2017 ◽  
Vol 28 (10) ◽  
pp. 883-892 ◽  
Author(s):  
Samantha J. Gustafson ◽  
Todd A. Ricketts ◽  
Anne Marie Tharpe

Background: Consistency of hearing aid and remote microphone system use declines as school-age children with hearing loss age. One indicator of hearing aid use time is data logging, another is parent report. Recent data suggest that parents overestimate their children’s hearing aid use time relative to data logging. The potential reasons for this disparity remain unclear. Because school-age children spend the majority of their day away from their parents and with their teachers, reports from teachers might serve as a valuable and additional tool for estimating hearing aid use time and management. Purpose: This study expands previous research on factors influencing hearing aid use time in school-age children using data logging records. Discrepancies between data logging records and parent reports were explored using custom surveys designed for parents and teachers. Responses from parents and teachers were used to examine hearing aid use, remote microphone system use, and hearing aid management in school-age children. Study Sample: Thirteen children with mild-to-moderate hearing loss between the ages of 7 and 10 yr and their parents participated in this study. Teachers of ten of these children also participated. Data Collection and Analysis: Parents and teachers of children completed written surveys about each child’s hearing aid use, remote microphone system use, and hearing aid management skills. Data logs were read from hearing aids using manufacturer’s software. Multiple linear regression analysis and an intraclass correlation coefficient were used to examine factors influencing hearing aid use time and parent agreement with data logs. Parent report of hearing aid use time was compared across various activities and school and nonschool days. Survey responses from parents and teachers were compared to explore areas requiring potential improvement in audiological counseling. Results: Average daily hearing aid use time was ˜6 hr per day as recorded with data logging technology. Children exhibiting greater degrees of hearing loss and those with poorer vocabulary were more likely to use hearing aids consistently than children with less hearing loss and better vocabulary. Parents overestimated hearing aid use by ˜1 hr per day relative to data logging records. Parent-reported use of hearing aids varied across activities but not across school and nonschool days. Overall, parents and teachers showed excellent agreement on hearing aid and remote microphone system use during school instruction but poor agreement when asked about the child’s ability to manage their hearing devices independently. Conclusions: Parental reports of hearing aid use in young school-age children are largely consistent with data logging records and with teacher reports of hearing aid use in the classroom. Audiologists might find teacher reports helpful in learning more about children’s hearing aid management and remote microphone system use during their time at school. This supplementary information can serve as an additional counseling tool to facilitate discussion about remote microphone system use and hearing aid management in school-age children with hearing loss.


2016 ◽  
Vol 27 (04) ◽  
pp. 324-332 ◽  
Author(s):  
Alex Meibos ◽  
Karen Muñoz ◽  
Karl White ◽  
Elizabeth Preston ◽  
Cache Pitt ◽  
...  

Background: Early identification of hearing loss has led to routine fitting of hearing aids in infants and young children. Amplification provides opportunities to optimize child development, although it also introduces challenges for parents to navigate. Audiologists have a central role in providing parents with support to achieve effective management strategies and habits. Purpose: The purpose of this study was to explore current practices of pediatric audiologists who work with children birth to 5 yr of age, regarding their support of parent learning in achieving effective hearing aid management, identify existing gaps in service delivery, and to determine if audiologists were receptive to receiving training related to effective approaches to provide counseling and support to parents. Research Design: A cross-sectional, population-based survey was used. Study Sample: Three hundred and forty-nine surveys were analyzed from pediatric audiologists who provided services to children birth to 5 yr of age. Responses were received from 22 states in the United States. Data Collection and Analysis: Responses were collected through the mail and online. Descriptive statistics were used to analyze the information. Results: More than half (61%) of the audiologists in the study had been providing pediatric hearing aid services to children birth to 5 yr of age for >10 yr. Of the audiologists who reported monitoring hours of hearing aid use, the majority reported that they used data logging (90%). More than half of the audiologists (57%) who shared data logging with parents reported that they encountered defensiveness from parents when addressing hearing aid use. Information and skills that were not routinely provided by one-third to one-half of the audiologists included the following: how to get access to loaner hearing aids (30%), available hearing aid options/accessories (33%), available financial assistance (36%), how to teach hearing aid management to other caregivers (38%), how to do hearing aid maintenance (44%), and how to do a Ling 6 sound check (52%). Many audiologists reported they did not frequently collaborate with speech-language pathologists (48%), early interventionists (47%), or physicians (68%). More than half of the audiologists indicated a desire for more training in counseling skills, for all 14 items queried, to support parents with hearing aid management (53–79%), regardless of their previous training experience. Conclusions: For young children with hearing loss to achieve optimal benefit from auditory experiences for speech and language development, they need evidence-based, comprehensive, and coordinated hearing aid management. Audiologists have an important role for teaching information and skills related to hearing aids, supporting parent learning, and collaborating with other providers. Pediatric audiologists in this study recognized and desired the need for further training in counseling skills that can better prepare them to meet the emotional needs of parents in the hearing aid management process.


2008 ◽  
Vol 19 (10) ◽  
pp. 758-773 ◽  
Author(s):  
H Gustav Mueller ◽  
Benjamin W.Y. Hornsby ◽  
Jennifer E. Weber

Background: While there have been many studies of real-world preferred hearing aid gain, few data are available from participants using hearing aids with today's special features activated. Moreover, only limited data have been collected regarding preferred gain for individuals using trainable hearing aids. Purpose: To determine whether real-world preferred hearing aid gain with trainable modern hearing aids is in agreement with previous work in this area, and to determine whether the starting programmed gain setting influences preferred gain outcome. Research Design: An experimental crossover study. Participants were randomly assigned to one of two treatment groups. Following initial treatment, each subject crossed to the opposite group and experienced that treatment. Study Sample: Twenty-two adults with downward sloping sensorineural hearing loss served as participants (mean age 64.5; 16 males, 6 females). All were experienced users of bilateral amplification. Intervention: Using a crossover design, participants were fitted to two different prescriptive gain conditions: VC (volume control) start-up 6 dB above NAL-NL1 (National Acoustic Laboratories—Non-linear 1) target or VC start-up 6 dB below NAL-NL1 target. The hearing aids were used in a 10 to 14 day field trial for each condition, and using the VC, the participants could “train” the overall hearing aid gain to their preferred level. During the field trial, daily hearing aid use was logged, as well as the listening situations experienced by the listeners based on the hearing instrument's acoustic scene analysis. The participants completed a questionnaire at the start and end of each field trial in which they rated loudness perceptions and their satisfaction with aided loudness levels. Results: Because several participants potentially experienced floor or ceiling effects for the range of trainable gain, the majority of the statistical analysis was conducted using 12 of the 22 participants. For both VC-start conditions, the trained preferred gain differed significantly from the NAL-NL1 prescriptive targets. More importantly, the initial start-up gain significantly influenced the trained gain; the mean preferred gain for the +6 dB start condition was approximately 9 dB higher than the preferred gain for the −6 dB start condition, and this difference was statistically significant (p < .001). Partial eta squared (η2) = 0.919, which is a large effect size.Deviation from the NAL-NL1 target was not significantly influenced by the time spent in different listening environments, amount of hearing aid use during the trial period, or amount of hearing loss. Questionnaire data showed more appropriate ratings for loudness and higher satisfaction with loudness for the 6 dB below target VC-start condition. Conclusions: When trainable hearing aids are used, the initial programmed gain of hearing instruments can influence preferred gain in the real world.


2020 ◽  
Author(s):  
Jeppe H. Christensen ◽  
Gabrielle H. Saunders ◽  
Michael Porsbo ◽  
Niels H. Pontoppidan

AbstractWe investigate the longitudinal association between multidimensional characteristics of everyday ambient sound and continuous mean heart rate. We used in-market data from hearing aid users who logged ambient acoustics via smartphone-connected hearing aids and continuous heart rate from their own wearables.We find that ambient acoustic characteristics explain approximately 4% of the fluctuation in mean heart rate throughout the day. Specifically, increases in ambient sound pressure intensity are significantly related to increases in mean heart rates, corroborating prior laboratory and short-term real-world data. In addition, however, and not previously recognized, increases in the ambient sound quality - that is, the difference between sound signal and noise - are associated with decreases in mean heart rates.Our findings document a mixed influence of everyday sounds on cardiovascular stress, and that the relationship is more complex than is seen from examination of sound intensity alone. Thus, our findings highlight the relevance of ambient environmental sound in models of human ecophysiology.


2019 ◽  
Vol 25 (1) ◽  
pp. 55-67 ◽  
Author(s):  
Sophie E Ambrose ◽  
Margo Appenzeller ◽  
Sarah Al-Salim ◽  
Ann P Kaiser

Abstract The purpose of this study was to examine the effectiveness of Ears On, an intervention designed to increase toddlers’ use of hearing devices. A single-case, multiple-baseline design across participants was used with three parent–child dyads who demonstrated low hearing aid use despite enrollment in traditional early intervention services. Data logging technology was used to objectively measure hearing aid use. A functional relationship was identified between participation in the intervention and the number of hours children utilized their hearing aids. Two dyads met the criterion set for completing the intervention: an average of 8 hr of daily hearing aid use. One dyad did not reach this criterion but did meet the parent’s goal of full-time use in the child’s educational setting. For all dyads, increases in use were maintained 1 month after completion of the intervention. Findings support use of this short-term, intensive, individualized intervention to improve hearing aid use for toddlers with hearing loss.


2021 ◽  
Vol 8 (2) ◽  
pp. 201345
Author(s):  
Jeppe H. Christensen ◽  
Gabrielle H. Saunders ◽  
Michael Porsbo ◽  
Niels H. Pontoppidan

We investigate the short-term association between multidimensional acoustic characteristics of everyday ambient sound and continuous mean heart rate. We used in-market data from hearing aid users who logged ambient acoustics via smartphone-connected hearing aids and continuous mean heart rate in 5 min intervals from their own wearables. We find that acoustic characteristics explain approximately 4% of the fluctuation in mean heart rate throughout the day. Specifically, increases in ambient sound pressure intensity are significantly related to increases in mean heart rate, corroborating prior laboratory and short-term real-world data. In addition, increases in ambient sound quality—that is, more favourable signal to noise ratios—are associated with decreases in mean heart rate. Our findings document a previously unrecognized mixed influence of everyday sounds on cardiovascular stress, and that the relationship is more complex than is seen from an examination of sound intensity alone. Thus, our findings highlight the relevance of ambient environmental sound in models of human ecophysiology.


2020 ◽  
Vol 29 (3) ◽  
pp. 419-428
Author(s):  
Jasleen Singh ◽  
Karen A. Doherty

Purpose The aim of the study was to assess how the use of a mild-gain hearing aid can affect hearing handicap, motivation, and attitudes toward hearing aids for middle-age, normal-hearing adults who do and do not self-report trouble hearing in background noise. Method A total of 20 participants (45–60 years of age) with clinically normal-hearing thresholds (< 25 dB HL) were enrolled in this study. Ten self-reported difficulty hearing in background noise, and 10 did not self-report difficulty hearing in background noise. All participants were fit with mild-gain hearing aids, bilaterally, and were asked to wear them for 2 weeks. Hearing handicap, attitudes toward hearing aids and hearing loss, and motivation to address hearing problems were evaluated before and after participants wore the hearing aids. Participants were also asked if they would consider purchasing a hearing aid before and after 2 weeks of hearing aid use. Results After wearing the hearing aids for 2 weeks, hearing handicap scores decreased for the participants who self-reported difficulty hearing in background noise. No changes in hearing handicap scores were observed for the participants who did not self-report trouble hearing in background noise. The participants who self-reported difficulty hearing in background noise also reported greater personal distress from their hearing problems, were more motivated to address their hearing problems, and had higher levels of hearing handicap compared to the participants who did not self-report trouble hearing in background noise. Only 20% (2/10) of the participants who self-reported trouble hearing in background noise reported that they would consider purchasing a hearing aid after 2 weeks of hearing aid use. Conclusions The use of mild-gain hearing aids has the potential to reduce hearing handicap for normal-hearing, middle-age adults who self-report difficulty hearing in background noise. However, this may not be the most appropriate treatment option for their current hearing problems given that only 20% of these participants would consider purchasing a hearing aid after wearing hearing aids for 2 weeks.


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