- Design
- Cross-sectional comparison of two national surveys
- Population
- 12,756 screened and 2,552 audiometry-tested adults aged 55 or over
- Primary outcome
- Hearing loss prevalence
- Effect
- 54.8% by screener vs 54.5% by audiometry (p = 0.82)
This cross-sectional study compared hearing loss prevalence in two US surveys. In the Health and Retirement Study, 12,756 adults aged 55 or over were tested with a handheld screening device; in the National Health and Nutrition Examination Survey, 2,552 were tested with pure-tone audiometry.
Prevalence of hearing loss was 54.8% (95% CI 53.7 to 56.0) by screener and 54.5% (51.1 to 57.8) by audiometry at a 20 dB threshold (p = 0.82). Mild difficulty on the screener (48.8%) matched mild-to-moderate loss on audiometry (48.2%), and moderate-to-severe difficulty (6.1%) matched moderately severe or worse loss (6.2%).
The study compares populations, not individuals, so it does not give the screener's sensitivity for a single patient. It does show that a simple device classifies hearing at a population level much as audiometry does. That supports its use in primary care and outreach settings, including in India, where audiometry is often unavailable outside cities, as long as positives are referred for formal testing.
- Expect hearing loss in about half of adults over 55; ask about it routinely.
- Consider a validated handheld screener where audiometry is not available.
- Refer screen-positive patients for formal audiometry before fitting hearing aids.
- Do not use a screener to rule out loss in a symptomatic patient; it was validated for populations.
Why it matters
Hearing loss affects about half of older adults, and a simple screen can find them where audiometry cannot.
Don't overread it
Matching prevalence across two surveys does not establish the screener's accuracy for an individual patient.
The statistics, in plain English
The p values of 0.70 and 0.82 mean the screener and audiometry estimates were statistically indistinguishable. Because these were different people in different surveys, matching prevalence does not prove the screener classifies each individual correctly.
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