Evidence map›Paper›PMID 42403962›Full record

ArticleJournal of the American Academy of Audiology2026

Perceptions of Over-the-Counter Hearing Aids: A Qualitative Study Informed by the Technology Acceptance Model.

Laura Coco, Tiana Weeks, Chris Rodriguez, Eliana Marvizon, Noelle Villegas, Ariana M Stickel, Annie L Nguyen

Abstract read
In one paragraph

Article in Journal of the American Academy of Audiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Laura CocoSchool of Speech, Language, and Hearing Sciences, College of Health and Human Services, San Diego State University, San Diego, CA.
Tiana WeeksSchool of Speech, Language, and Hearing Sciences, College of Health and Human Services, San Diego State University, San Diego, CA.
Chris RodriguezSchool of Speech, Language, and Hearing Sciences, College of Health and Human Services, San Diego State University, San Diego, CA.
Eliana MarvizonSchool of Speech, Language, and Hearing Sciences, College of Health and Human Services, San Diego State University, San Diego, CA.
Noelle VillegasSchool of Speech, Language, and Hearing Sciences, College of Health and Human Services, San Diego State University, San Diego, CA.
Ariana M StickelDepartment of Psychology, College of Science, San Diego State University, San Diego, CA.
Annie L NguyenHerbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, San Diego, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hearing loss is prevalent among older adults, yet hearing aid uptake remains low. The recent introduction of over-the-counter (OTC) hearing aids by the U.S. Food and Drug Administration aims to improve accessibility by removing the requirement for professional involvement. However, the usability and perceived value of these devices by consumers remain insufficiently understood. Purpose: This study aimed to explore adults' perceptions of OTC hearing aids following direct and structured use and identify factors that influence perceived ease of use, usefulness, and usability-related barriers as framed by the technology acceptance model. Research Design: A qualitative descriptive design that incorporated semi-structured interviews conducted immediately after a hands-on device use task was completed. Study Sample: Seventy-eight adults 55 years of age and older with self-identified mild to moderate hearing loss were recruited through community outreach. Eligibility was based on age and self-reported hearing status. Intervention: Participants used commercially available OTC hearing aids to complete a standardized 10-step device management task prior to being interviewed. Data Collection and Analysis: Data were collected through audio-recorded, semi-structured interviews conducted immediately after the device use task. Transcripts were analyzed thematically using a hybrid inductive-deductive approach informed by the technology acceptance model. Results: The following six major themes emerged: setup and operational barriers; support preferences; usability expectations and confidence; perceived device performance; shifts in knowledge and understanding; and user-centered design suggestions. Participants frequently reported difficulties with device setup and handling, uncertainty about performance, and a desire for support. User expectations, confidence, and information gaps significantly influenced their intention to use OTC devices. Conclusions: Although OTC hearing aids offer greater accessibility, successful adoption requires more than cost reduction. Users' perceived support needs, self-efficacy, and alignment between expectations and device performance play a critical role. Facilitating confident use through improved instructions and accessible support may enhance uptake. These findings emphasize the role of expectation-outcome alignment (i.e., disconfirmation) in shaping satisfaction. Clinical Relevance: Clinicians should anticipate increased patient interest in OTC hearing aids, and they should be prepared to address usability concerns. Supporting patient education and expectation management may improve satisfaction and long-term outcomes outside traditional service delivery models.

Indexed as

Hearing AidsHearing LossPatient Acceptance of Health CareAgedFemaleHumansMaleMiddle AgedQualitative Researchauditory rehabilitationLatinoover-the-counter hearing aidsqualitative interviewstechnology assistance model

Identifiers

PMID42403962
PMCPMC13327963

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.