Evidence map›Paper›PMID 39130274›Full record

ArticleIndian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India2024

Development of Digit in Noise Test in Hindi.

Md Noorain Alam, Sanjay K Munjal, Naresh K Panda, Gyan Ranjan Nayak, Sagrika Sharma, Vivek Bhatia, Suresh Sharma

Abstract read
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Article in Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Md Noorain AlamENT department, Post Graduate Institute of medical education and research, Chandigarh, India.ORCID 0000-0002-6382-5996
Sanjay K MunjalENT department, Post Graduate Institute of medical education and research, Chandigarh, India.
Naresh K PandaENT department, Post Graduate Institute of medical education and research, Chandigarh, India.
Gyan Ranjan NayakENT department, Post Graduate Institute of medical education and research, Chandigarh, India.
Sagrika SharmaENT department, Post Graduate Institute of medical education and research, Chandigarh, India.
Vivek BhatiaENT department, Post Graduate Institute of medical education and research, Chandigarh, India.
Suresh SharmaStatistics department, Panjab University, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe digit in the noise test is a simple hearing screening tool that can identify hearing loss at the early stage. This screening tool takes less time than traditional pure-tone audiometry. There is a scarcity of hearing health professionals with few resources for carrying out hearing screening on a large scale in India. Hence, a hearing screening tool for the Hindi-speaking population is needed. AIM AND

objectiveThe study aimed to develop and validate the Digit in Noise test in Hindi (DIN-H).

methodsA native Hindi female speaker recorded single digits from 1 to 9 made into triplet combinations, which were binaurally presented to 20 normal hearing subjects having hearing thresholds less than 25 dBHL from 250 to 8000 Hz in the presence of broadband speech-shaped noise. The digit triplets were homogenized using speech intelligibility function for similar difficulty levels across stimuli. The homogenized stimuli were evaluated by obtaining the Speech Recognition Threshold (SRT) of 20 normal hearing subjects.

resultsThe Mean SRT was - 10.4 and - 11.3 dB before and after homogenization. A strong positive correlation existed between test and retest SRTs (0.78). Mean SRT and slope obtained before and after optimization were comparable to other languages like Korean and English. This test can act as a reliable screening tool for assessing individuals. The test was administered to 106 normal hearing participants. The 95th percentile of the SRT value obtained was - 5.6 dB, which was kept as a cut-off score for the screening test.

conclusionDIN-H can be used as a screening tool for assessing the integrity of the auditory system on a large scale in less time for the Hindi-speaking population.

Indexed as

Digit in noise testHindiSignal to noise ratioSpeech reception thresholds

Identifiers

PMID39130274
PMCPMC11306441

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