A Critique of the National Academies of Sciences, Engineering, and Medicine Report (2021) and the Diagnostic Accuracy of Measurements of Functional Hearing Ability.


Journal

American journal of audiology
ISSN: 1558-9137
Titre abrégé: Am J Audiol
Pays: United States
ID NLM: 9114917

Informations de publication

Date de publication:
Jun 2023
Historique:
medline: 2 6 2023
pubmed: 22 3 2023
entrez: 21 3 2023
Statut: ppublish

Résumé

The Social Security Administration (SSA) asked the National Academies of Sciences, Engineering, and Medicine (NASEM, 2021) to make recommendations for tests of functional hearing ability. These tests include speech perception measures administered in quiet and in background noise. Such tests are required to make disability determinations for adults and children following cochlear implantation. The test review required an evaluation of the diagnostic accuracy of the speech perception measures. Following a review of the literature, NASEM wrote that the evidence needed to support such a recommendation was lacking. They resorted to "professional judgment" and recommended a monosyllabic word recognition test, presumably in quiet, along with a measure of self-report or parent report. The primary purpose of this article was to critically review the committee's report. The secondary purpose was to critique the committee's recommendation of a monosyllabic word test as a measure of functional hearing ability for disability determinations. The third purpose was to provide a review of diagnostic accuracy studies not included in NASEM (2021) with an emphasis on speech recognition in noise (SRN) tests. In contrast to the committee's recommendation, studies have shown that a monosyllabic word test is a poor predictor of SRN ability. Contrary to the conclusion of NASEM (2021), diagnostic accuracy studies have been conducted for a few SRN tests. The Hearing in Noise Test and the AzBio SRN test have published data demonstrating their ability to correctly identify the presence and absence of an SRN disorder.

Identifiants

pubmed: 36944047
doi: 10.1044/2023_AJA-22-00141
doi:

Types de publication

Review Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

477-485

Auteurs

Andrew J Vermiglio (AJ)

Department of Communication Sciences and Disorders, East Carolina University, Greenville, North Carolina.

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Classifications MeSH