An Australian version of the acceptable noise level test and its predictive value for successful hearing aid use in an older population

Walravens, Els; Keidser, Gitte; Hartley, David; Hickson, Louise

doi:10.3109/14992027.2013.862599

Cited by 18 publications

(31 citation statements)

References 32 publications

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“…The results of the HA-Use revealed that the ANL of full-time users (7.5 dB) was higher (poorer) than that of part-time (4.9 dB) and non-users (4.5 dB). Although the difference was not statistically significant, the trend of the findings by Walravens et al (2014) was contrary to Nabelek et al (2006).…”

Section: Introductioncontrasting

confidence: 63%

“…However, several studies (Olsen et al, 2012; Schwartz & Cox, 2012; Walravens et al, 2014; Table 1) did not demonstrate a clear association between ANL and hearing aid outcome. In a cross-sectional study, Olsen et al (2012) recruited 63 adults whose mean hearing aid experience was 11 years.…”

Section: Introductionmentioning

confidence: 99%

“…In another cross-sectional study (Walravens et al, 2014), ANL was measured for 96 hearing aid owners. Among these participants, 48% and 42% owned hearing aids for one to five years and for more than five years, respectively.…”

Section: Introductionmentioning

confidence: 99%

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Predicting three-month and 12-month post-fitting real-world hearing-aid outcome using pre-fitting acceptable noise level (ANL)

Hsiao

et al. 2016

International Journal of Audiology

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Objective Determine the extent to which pre-fitting acceptable noise level (ANL), with or without other predictors such as hearing aid experience, can predict real-world hearing aid outcomes at 3 and 12 months post-fitting. Design ANLs were measured before hearing aid fitting. Post-fitting outcome was assessed using the International Outcome Inventory for Hearing Aids (IOI-HA) and a hearing aid use questionnaire. Models that predicted outcomes (successful vs. unsuccessful) were built using logistic regression and several machine learning algorithms, and were evaluated using the cross-validation technique. Study sample 132 adults with hearing impairment. Results The prediction accuracy of the models ranged from 61% to 68% (IOI-HA) and from 55% to 61% (hearing aid use questionnaire). The models performed more poorly in predicting 12-month than 3-month outcomes. The ANL cutoff between successful and unsuccessful users was higher for experienced (~18 dB) than first-time hearing aid users (~10 dB), indicating that most experienced users will be predicted as successful users regardless of their ANLs. Conclusions Pre-fitting ANL is more useful in predicting short-term (3 months) hearing aid outcomes for first-time users, as measured by the IOI-HA. The prediction accuracy was lower than the accuracy reported by some previous research that used a cross-sectional design.

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Section: Introductioncontrasting

confidence: 63%

Section: Introductionmentioning

confidence: 99%

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Predicting three-month and 12-month post-fitting real-world hearing-aid outcome using pre-fitting acceptable noise level (ANL)

Hsiao

et al. 2016

International Journal of Audiology

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“…Walravens et al, 2014). Participants were given a handheld wireless keypad that was programmed to change the level of stimuli presented to the loudspeaker array.…”

Section: Methodsmentioning

confidence: 99%

“…In order to assess the subjective benefit of the two beamformers, we also incorporated a measurement of the acceptable noise level (ANL), the poorest SNR at which a person is willing to listen to speech (Nabelek et al, 1991). Recent studies suggest that the ANL tends to be positive (Olsen et al, 2012a; Olsen et al, 2012b; Walravens et al, 2014), as opposed to SRTn measures which generally focus on negative SNRs. Thus the inclusion of the ANL test had the advantage of assessing the benefit of the beamformers at higher SNRs, where it is often argued that most real-world communication occurs (Smeds et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

An evaluation of the performance of two binaural beamformers in complex and dynamic multitalker environments

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Mejia

Freeston

et al. 2015

International Journal of Audiology

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Objective Binaural beamformers are super-directional hearing aids created by combining microphone outputs from each side of the head. While they offer substantial improvements in SNR over conventional directional hearing aids, the benefits (and possible limitations) of these devices in realistic, complex listening situations have not yet been fully explored. In this study we evaluated the performance of two experimental binaural beamformers. Design Testing was carried out using a horizontal loudspeaker array. Background noise was created using recorded conversations. Performance measures included speech intelligibility, localisation in noise, acceptable noise level, subjective ratings, and a novel dynamic speech intelligibility measure. Study sample Participants were 27 listeners with bilateral hearing loss, fitted with BTE prototypes that could be switched between conventional directional or binaural beamformer microphone modes. Results Relative to the conventional directional microphones, both binaural beamformer modes were generally superior for tasks involving fixed frontal targets, but not always for situations involving dynamic target locations. Conclusions Binaural beamformers show promise for enhancing listening in complex situations when the location of the source of interest is predictable.

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Auditory sensory gating predicts acceptable noise level

et al. 2018

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An Australian version of the acceptable noise level test and its predictive value for successful hearing aid use in an older population

Abstract: While the Australian ANL test showed several similar characteristics to previous versions of the test, low test-retest reliability raised questions about its clinical value as a predictor for long-term hearing aid use.

Cited by 18 publications

References 32 publications

Predicting three-month and 12-month post-fitting real-world hearing-aid outcome using pre-fitting acceptable noise level (ANL)

Predicting three-month and 12-month post-fitting real-world hearing-aid outcome using pre-fitting acceptable noise level (ANL)

An evaluation of the performance of two binaural beamformers in complex and dynamic multitalker environments

Auditory sensory gating predicts acceptable noise level

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