SLPOtherTrends in hearing2025

At-Home Auditory Assessment Using Portable Automated Rapid Testing (PART) to Understand Self-Reported Hearing Difficulties.

E Sebastian Lelo de Larrea-Mancera, Tess K Koerner, William J Bologna and 7 others

PMID 41284493

WHAT IT FOUND

Remote hearing tests on personal devices worked for basic sound detection but failed to identify who self-reports hearing difficulties.

A computer model using these tests missed more than half of people with hearing trouble. Self-report remains the only reliable way to catch those cases.

Key findings

01Basic auditory measures (pure-tone average, temporal fine structure, and spectrotemporal modulation) successfully discriminated between people with and without self-reported hearing difficulties.

02A multivariate model using the full battery of auditory and cognitive tests had low sensitivity, missing 48 cases of hearing difficulty while correctly identifying only 36.

03Self-reported hearing handicap did not correlate strongly with the auditory or cognitive performance measures in the multivariate analysis.

STILL TO COME

How it was doneWhat they foundWhat it means for SLPs

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What it does not show

The study used a cross-sectional design with a specific online sample, which may not represent the general population or clinical patients with diagnosed hearing loss. Testing was conducted on uncalibrated, participant-owned devices, which introduces variability in sound levels and potential inaccuracies in threshold estimation. The definition of 'hearing difficulty' was based solely on a self-report cutoff (HHIE-S ≥ 8), not on clinical audiometric diagnosis, so the groups may include people with normal hearing who perceive difficulty or vice versa. Participants were supervised via video call during testing, which limits the generalizability of these results to fully unsupervised, self-administered remote testing scenarios. The study did not include a clinical reference standard (such as a formal audiogram or speech-in-noise test in a sound booth) to validate the remote measures against gold-standard clinical assessments.

Declared interests

The authors declared no potential conflicts of interest. The work was supported by the National Institute on Deafness and Other Communication Disorders.

The easy way to misread this

Do not interpret the failure of the multivariate model to detect hearing difficulties as evidence that remote testing is useless. The model failed to identify self-reported handicap, but basic measures like pure-tone average did successfully discriminate between groups. The issue is that self-reported hearing difficulty is not fully explained by standard auditory performance measures.

Read it on PubMed →