Interventions to improve hearing aid use in adult auditory rehabilitation

Barker, Fiona; Mackenzie, Emma; Elliott, Lynette; Jones, Simon; Lusignan, Simon de

doi:10.1002/14651858.cd010342

Cited by 30 publications

(52 citation statements)

References 19 publications

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“…This high level of motivation in participants was expected because, by definition, the participants had both acknowledged the possibility of a hearing loss and attended the hearing assessment appointment . The high level of motivation in adult participants attending an audiology clinic may go some way towards explaining why previous interventions reviewed by Barker et al (2014), which largely focussed on boosting motivation, were ineffective. In contrast, participants were relatively low in volition and did not report making plans to use their hearing aid or to overcome potential barriers to using their hearing aids.…”

Section: Distinction Between the Motivational And Volitional Phasementioning

confidence: 99%

“…Studies included in their review suffered poor methodological quality, with the majority having potential biases in performance (participants were not blinded), detection (outcomes were not blinded) and/or selection (no details about randomisation). Moreover, all 31 of the interventions that were targeted at the individual were designed to enhance motivation only for example, by providing information about the psychosocial impacts of hearing loss, the benefits of using hearing aids, or demonstrating how to use a hearing aid, to boost intention and self-efficacy (Barker et al 2014).…”

Section: Introductionmentioning

confidence: 99%

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Beyond motivation: identifying targets for intervention to increase hearing aid use in adults

Sawyer

Munro²,

Dawes³

et al. 2019

International Journal of Audiology

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Objective: The present study investigated: (a) how motivated patients are to use their hearing aid, and (b) whether post-motivational variables (e.g. action planning, coping planning) have anything to offer in terms of developing interventions to boost hearing aid use. Design: participants completed a questionnaire designed to tap Health Action Process Approach constructs prior to their hearing aid prescription and fitting. Study sample: Sixty-seven patients attending NHS audiology clinics. Results: Participants reported very strong intentions to use hearing aids (Median ¼ 7.00 Q1 and Q3 ¼ 6.67, 7.00, on a þ1 to þ7 scale) and high self-efficacy (Median ¼ 7.00, Q1 and Q3 ¼ 6.00, on a þ1 to þ7 scale) leaving little room for improvement. In contrast, participants reported moderate levels of post-motivational variables (action planning Median ¼ 4.25, Q1 and Q3 ¼ 1.13, 7.00 and coping planning Median ¼ 2.75, Q1 and Q3 ¼ 1.00, both measured on þ1 to þ7 scales) thereby showing significant scope for change. Conclusions: Future interventions to increase hearing aid use should focus on ensuring that patients' motivation is translated into action, rather than further trying to boost motivation. ARTICLE HISTORY

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Section: Distinction Between the Motivational And Volitional Phasementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Beyond motivation: identifying targets for intervention to increase hearing aid use in adults

Sawyer

Munro²,

Dawes³

et al. 2019

International Journal of Audiology

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“…As with many intervention studies, follow-up is often not conducted. 45 In our systematic review, retention of learning was assessed in 8/13 articles, and ranged from 4 days to 7 months. All studies showed retention of learning to trained and untrained measures to various degrees with only some reporting the statistical effects.…”

Section: Does Any Improvement In Trained and Untrained Measures Remaimentioning

confidence: 99%

How Does Auditory Training Work? Joined-Up Thinking and Listening

Ferguson

Henshaw

2015

Semin Hear

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Auditory training aims to compensate for degradation in the auditory signal and is offered as an intervention to help alleviate the most common complaint in people with hearing loss, understanding speech in a background noise. Yet there remain many unanswered questions. This article reviews some of the key pieces of evidence that assess the evidence for whether, and how, auditory training benefits adults with hearing loss. The evidence supports that improvements occur on the trained task; however, transfer of that learning to generalized real-world benefit is much less robust. For more than a decade, there has been an increasing awareness of the role that cognition plays in listening. But more recently in the auditory training literature, there has been an increased focus on assessing how cognitive performance relevant for listening may improve with training. We argue that this is specifically the case for measures that index executive processes, such as monitoring, attention switching, and updating of working memory, all of which are required for successful listening and communication in challenging or adverse listening conditions. We propose combined auditory-cognitive training approaches, where training interventions develop cognition embedded within auditory tasks, which are most likely to offer generalized benefits to the real-world listening abilities of people with hearing loss.

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“…Among other things, it noted that too few resources are allocated to build an infrastructure that improves financial access to hearing care through private or public healthcare coverage. The lack of public health policies supporting hearing healthcare has been attributed to a lack of evidence supporting policies around, for example, routine hearing screening for adults (Moyer 2012), intervention to promote hearing aid use (Barker et al 2016), and support for bilateral as opposed to unilateral hearing aid fitting (Schilder et al 2017). However, research supporting such policies is gradually changing this (Ferguson et al 2017).…”

Section: Hearing Healthcare Policy-makingmentioning

confidence: 99%

Application of Big Data to Support Evidence-Based Public Health Policy Decision-Making for Hearing

Saunders¹,

Christensen²,

Gutenberg³

et al. 2020

Ear &Amp; Hearing

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Ideally, public health policies are formulated from scientific data; however, policy-specific data are often unavailable. Big data can generate ecologically-valid, high-quality scientific evidence, and therefore has the potential to change how public health policies are formulated. Here, we discuss the use of big data for developing evidence-based hearing health policies, using data collected and analyzed with a research prototype of a data repository known as EVOTION (EVidence-based management of hearing impairments: public health pOlicy-making based on fusing big data analytics and simulaTION), to illustrate our points. Data in the repository consist of audiometric clinical data, prospective real-world data collected from hearing aids and an app, and responses to questionnaires collected for research purposes. To date, we have used the platform and a synthetic dataset to model the estimated risk of noiseinduced hearing loss and have shown novel evidence of ways in which external factors influence hearing aid usage patterns. We contend that this research prototype data repository illustrates the value of using big data for policy-making by providing high-quality evidence that could be used to formulate and evaluate the impact of hearing health care policies.

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Interventions to improve hearing aid use in adult auditory rehabilitation

Cited by 30 publications

References 19 publications

Beyond motivation: identifying targets for intervention to increase hearing aid use in adults

Beyond motivation: identifying targets for intervention to increase hearing aid use in adults

How Does Auditory Training Work? Joined-Up Thinking and Listening

Application of Big Data to Support Evidence-Based Public Health Policy Decision-Making for Hearing

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