Predicting hearing aid use in adults: the Beaver Dam Offspring Study.
Lauren K Dillard, Amy L Cochran, Alex Pinto and 4 others
PMID 33287599WHAT IT FOUND
Extra health, cognitive and auditory tests did not improve prediction of hearing aid use over 10 years.
In adults with treatable hearing loss, 24.3% reported hearing aid use after 10 years.
Key findings
01The 10-year cumulative incidence of hearing aid use was 24.3% (n=68).
02Higher pure-tone average and self-reported difficulty hearing the TV/radio were associated with higher odds of hearing aid use.
03The expanded model did not significantly improve prediction compared with the clinical model (p=0.41).
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
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What it does not show
The sample was restricted to people with treatable hearing loss, so the analysis was relatively small and could not examine all hypothesized factors. The models only used participants with complete data for every variable, so variables with many missing values were not examined. Unmeasured factors such as social support, expectations, self-efficacy and hearing aid fitting details could have influenced the results. The study could not separate hearing aid acquisition, actual hearing aid use and hearing health care seeking. Hearing aid use was only self-reported and did not include hours per day or changes in hearing aid technology over the follow-up period. Participants were ethnically homogenous non-Hispanic white individuals, so the models may not generalize to other populations. The models were not externally validated, so they are not yet ready-to-use clinical risk scores. The clinical model is not representative of all audiologic evaluations because information collected varies by patient and clinician.
Declared interests
The authors declared no other funding, financial relationships or conflicts of interest. The article is listed as supported by NIH extramural research.
The easy way to misread this
Do not treat these models as a ready-to-use clinical risk score. The paper states that they need external validation first, and the expanded model did not significantly improve prediction over the clinical model.