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Original Article

Accuracy of automated pure-tone audiometry in population-based samples of older adults

ORCID Icon, ORCID Icon, , , &
Received 07 Apr 2023, Accepted 30 May 2023, Published online: 19 Jun 2023

Figures & data

Figure 1. Schematic overview of the selection procedure.

Figure 1. Schematic overview of the selection procedure.

Table 1. Mean differences between automated and manual pure-tone audiometry by age group and test frequency, averaged between left and right ears.

Figure 2. Bland–Altman plots of the difference in pure-tone averages of 0.5, 1, 2 and 4 kHz (PTA4s) obtained with manual and automated pure-tone audiometry. The mean difference (continuous black line) is near zero for both age groups. The dashed lines show the upper and lower limits of agreement, i.e. the mean difference ± 1.96 SD, within which 95% of differences are expected to fall.

Figure 2. Bland–Altman plots of the difference in pure-tone averages of 0.5, 1, 2 and 4 kHz (PTA4s) obtained with manual and automated pure-tone audiometry. The mean difference (continuous black line) is near zero for both age groups. The dashed lines show the upper and lower limits of agreement, i.e. the mean difference ± 1.96 SD, within which 95% of differences are expected to fall.

Figure 3. Distribution of threshold correspondence within 0, 5, 10, 15 and >15 dB by test frequency and age. The percentages displayed on the bars in the chart specify what proportion of values were within ± 10 dB difference, which is considered clinically accepted.

Figure 3. Distribution of threshold correspondence within 0, 5, 10, 15 and >15 dB by test frequency and age. The percentages displayed on the bars in the chart specify what proportion of values were within ± 10 dB difference, which is considered clinically accepted.

Table 2. Results of a multiple ordinal regression analysis with the accuracy of automated audiometry as the dependent variable.

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