Improving the efficiency of the digit triplet test using digit scoring with variable adaptive step sizes

Denys, Sam; Hofmann, Michaël; Wieringen, Astrid Van; Wouters, Jan

doi:10.1080/14992027.2019.1622042

Cited by 16 publications

(30 citation statements)

References 43 publications

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“…The strong correlation of r = .86 between the DTT-SRT and the averaged hearing threshold agrees with findings previously reported for the Flemish DTT with triplet or digit scoring, for which correlations between the DTT-SRT and the PTA 2,3,4,6kHz (Jansen et al., 2013) or PTA 1,2,4kHz (Denys et al., 2019) of r = .86 have been found.…”

Section: Resultssupporting

confidence: 90%

“…Starting at an SNR of −2 dB, the first 5 trials were scored using a triplet scoring procedure (i.e., all three digits had to be identified correctly), with a fixed SNR step size of 2 dB, ensuring a rapid descent to the SRT. From the sixth triplet onward, the SNR step size varied depending on the number of digits identified correctly, using the equation: 4(0.79-i3), where i is the number of digits recognized correctly (Brand & Kollmeier, 2002; Denys, Hofmann, van Wieringen, & Wouters, 2019). Feedback on the position of the presented digit was given in real time by means of a highlighting check box.…”

Section: Methodsmentioning

confidence: 99%

“…, where i is the number of digits recognized correctly (Brand & Kollmeier, 2002;Denys, Hofmann, van Wieringen, & Wouters, 2019). Feedback on the position of the presented digit was given in real time by means of a highlighting check box.…”

Section: Methodsmentioning

confidence: 99%

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Language-Independent Hearing Screening Based on Masked Recognition of Ecological Sounds

et al. 2019

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A language-independent automated self-test on tablet based on masked recognition of ecological sounds, the Sound Ear Check (SEC), was developed. In this test, 24 trials of eight different sounds are randomly presented in a noise that was spectrally shaped according to the average frequency spectra of the stimulus sounds, using a 1-up 2-down adaptive procedure. The test was evaluated in adults with normal hearing and hearing loss, and its feasibility was investigated in young children, who are the target population of this test. Following equalization of perceptual difficulty across sounds by applying level adjustments to the individual tokens, a reference curve with a steep slope of 18%/dB was obtained, resulting in a test with a high test–retest reliability of 1 dB. The SEC sound reception threshold was significantly associated with the averaged pure tone threshold ( r = .70), as well as with the speech reception threshold for the Digit Triplet Test ( r = .79), indicating that the SEC is susceptible to both audibility and signal-to-noise ratio loss. Sensitivity and specificity values on the order of magnitude of ∼70% and ∼80% to detect individuals with mild and moderate hearing loss, respectively, and ∼80% to detect individuals with slight speech-in-noise recognition difficulties were obtained. Homogeneity among sounds was verified in children. Psychometric functions fitted to the data indicated a steep slope of 16%/dB, and test–retest reliability of sound reception threshold estimates was 1.3 dB. A reference value of −9 dB signal-to-noise ratio was obtained. Test duration was around 6 minutes, including training and acclimatization.

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Section: Resultssupporting

confidence: 90%

Section: Methodsmentioning

confidence: 99%

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Language-Independent Hearing Screening Based on Masked Recognition of Ecological Sounds

et al. 2019

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“…This line of thought suggests that the number of lists, the number of triplets and the part of the trajectory to determine the average SNR should be optimized when adapting the DIN test for standard pediatric care. Denys et al (2019) investigated a way of improving the efficiency of the digit triplet test and concluded that the use of variable adaptive step size improved efficiency. Another way to improve the test procedure for future measurements can be to present a short practice list first, provide a break, and then provide a second, test list of digits.…”

Section: Discussionmentioning

confidence: 99%

The Feasibility and Reliability of a Digits-in-Noise Test in the Clinical Follow-Up of Children With Mild to Profound Hearing Loss

Vroegop

Rodenburg-Vlot²,

Goedegebure

et al. 2021

Ear &Amp; Hearing

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“…These tests are strongly correlated with pure-tone averages (PTA), ranging from 0.7 to 0.8 from variations in PTA definitions and sample characteristics (Jansen et al 2010;Koole et al 2016;Potgieter, Swanepoel, and Smits 2018b;Potgieter et al 2018a;Smits, Kapteyn, and Houtgast 2004;Watson et al 2012). Thus, sensitivity and specificity of the DIN is >80% in terms of detection of hearing loss (Denys et al 2019;Folmer et al 2017;Jansen et al 2013;Koole et al 2016;Potgieter, Swanepoel, and Smits 2018b;Potgieter et al 2018a;Smits, Kapteyn, and Houtgast 2004;Vercammen et al 2018;Vlaming et al 2014;Watson et al 2012). The DIN test has been designated as the National Hearing Test in The Netherlands.…”

Section: Introductionmentioning

confidence: 99%

Discrimination of degrees of auditory performance from the digits-in-noise test based on hearing status

Armstrong

Oosterloo

Croll

et al. 2020

International Journal of Audiology

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Objective: To discriminate among degrees of auditory performance of the Digits-in-Noise (DIN) test. Design: We performed Pearson's correlations and age-and sex-adjusted linear regression models to examine the correlation between pure-tone average (PTA) from pure-tone audiometric tests and speech recognition thresholds (SRT) from the DIN test. Then, optimal SRT cut-points by PTA-defined hearing status (0-25 dB HL [normal], 26-40 dB HL [mild hearing loss], 41-50 dB HL [moderate hearing loss]) were compared across three methods: Youden, Nearest, and Liu. SRT-defined categories of auditory performance were compared to PTA-defined hearing categories to examine the convergence of similar categories. Study Sample: 3422 Rotterdam Study participants aged 51-98 years between 2011 and 2014 Results: The correlation between SRT and PTA was 0.65 (95% Confidence Interval: 0.63, 0.67) in the overall sample. The variability of SRT explained by PTA after age and sex adjustment was 54%. Optimal cutpoints for the overall sample across the three methods were: À5.55 dB SNR (normal); > À5.55 to À3.80 dB SNR (insufficient performance); > À3.80 dB SNR (poor performance). When comparing the SRT-or PTA-defined categories, 59.8% had concordant hearing categories and 40.2% had discordant hearing categories. Conclusions: Discrimination of degrees of auditory performance may add greater utility of the DIN test.

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Improving the efficiency of the digit triplet test using digit scoring with variable adaptive step sizes

Abstract: Improving the efficiency of the Digit Triplet Test using digit scoring with variable adaptive step sizes

Cited by 16 publications

References 43 publications

Language-Independent Hearing Screening Based on Masked Recognition of Ecological Sounds

Language-Independent Hearing Screening Based on Masked Recognition of Ecological Sounds

The Feasibility and Reliability of a Digits-in-Noise Test in the Clinical Follow-Up of Children With Mild to Profound Hearing Loss

Discrimination of degrees of auditory performance from the digits-in-noise test based on hearing status

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