Evidence map›Paper›PMID 36648925›Full record

ArticleAudiology research2022

Design and Development of a Spanish Hearing Test for Speech in Noise (PAHRE).

Marlene Rodríguez-Ferreiro, Montserrat Durán-Bouza, Victoria Marrero-Aguiar

Open access · goldAbstract read
In one paragraph

Article in Audiology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 39% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Marlene Rodríguez-FerreiroPsychology Department, University of A Coruña, 15008 A Coruña, Spain.
Montserrat Durán-BouzaPsychology Department, University of A Coruña, 15008 A Coruña, Spain.ORCID 0000-0001-9253-0719
Victoria Marrero-AguiarSpanish Language and General Linguistics Department, Universidad Nacional de Educación a Distancia, UNED, 28040 Madrid, Spain.ORCID 0000-0001-6295-7463
Universidade da Coruña · ESUniversidad Nacional de Educación a Distancia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are few hearing tests in Spanish that assess speech discrimination in noise in the adult population that take into account the Lombard effect. This study presents the design and development of a Spanish hearing test for speech in noise (Prueba Auditiva de Habla en Ruido en Español (PAHRE) in Spanish). The pattern of the Quick Speech in Noise test was followed when drafting sentences with five key words each grouped in lists of six sentences. It was necessary to take into account the differences between English and Spanish.

methodsA total of 61 people (24 men and 37 women) with an average age of 46.9 (range 18-84 years) participated in the study. The work was carried out in two phases. In the first phase, a list of Spanish sentences was drafted and subjected to a familiarity test based on the semantic and syntactic characteristics of the sentences; as a result, a list of sentences was selected for the final test. In the second phase, the selected sentences were recorded with and without the Lombard effect, the equivalence between both lists was analysed, and the test was applied to a first reference population.

resultsThe results obtained allow us to affirm that it is representative of the Spanish spoken in its variety in peninsular Spain.

conclusionsIn addition, these results point to the usefulness of the PAHRE test in assessing speech in noise by maintaining a fixed speech intensity while varying the intensity of the multi-speaker background noise. The incorporation of the Lombard effect in the test shows discrimination differences with the same signal-to-noise ratio compared to the test without the Lombard effect.

Indexed as

hearing assessmentSpanish hearing testspeech in noise

Identifiers

PMID36648925
PMCPMC9844292
OpenAlexW4313473381

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.