Abstract
OBJECTIVES: To investigate hearing aid utilization rates among populations with varying hearing aid insurance benefits.
METHODS: A retrospective cohort study was performed. A total of 377 patients were included in the study after being identified through consecutive, hearing loss-related otology clinic visits. With respect to hearing aid benefits, patients were separated into full, partial, and no coverage populations. Chart reviews identified if a patient underwent hearing aid evaluation and fitting. Audiometric data were collected. Chi-square tests of independence and two-sided Z-tests were used for statistical analysis. ANOVA single-factor analysis testing was used to analyze pure tone averages (PTA) and word recognition scores (WRS) data.
RESULTS: The 377 patients who met criteria included: full insurance coverage (n = 210, mean age = 45 years), partial coverage (n = 82, mean age = 65 years), and no coverage (n = 85, mean age = 54 years). The full- and partial-coverage populations each had significantly higher hearing aid utilization rates (78% and 79%, respectively) than the no-coverage population (49%, p < 0.001). No statistical difference in mean PTA or WRS was noted among the three coverage categories.
CONCLUSION: Patients with at least partial financial coverage are more likely to acquire hearing aids than those without despite similar degrees of hearing loss. This implies that the out-of-pocket cost of hearing aids is a primary impediment to hearing aid adoption and provides a useful road map for public and private insurers considering hearing aid coverage.
LEVEL OF EVIDENCE: 3 (retrospective cohort study) Laryngoscope, 135:2134-2138, 2025.
| Original language | English |
|---|---|
| Pages (from-to) | 2134-2138 |
| Number of pages | 5 |
| Journal | Laryngoscope |
| Volume | 135 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2025 |
Keywords
- Adult
- Aged
- Female
- Hearing Aids/statistics & numerical data
- Hearing Loss/rehabilitation
- Humans
- Insurance Coverage/statistics & numerical data
- Insurance, Health/statistics & numerical data
- Male
- Middle Aged
- Military Personnel/statistics & numerical data
- Retrospective Studies
- United States
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