Evidence map›Paper›PMID 29664722›Full record

ArticleJournal of the American Academy of Audiology2018

Using a Digital Language Processor to Quantify the Auditory Environment and the Effect of Hearing Aids for Adults with Hearing Loss.

Kelsey E Klein, Yu-Hsiang Wu, Elizabeth Stangl, Ruth A Bentler

Abstract read
In one paragraph

Article in Journal of the American Academy of Audiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 12 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

4 authors at 1 institution in 1 country.

Kelsey E KleinDepartment of Communication Sciences and Disorders, University of Iowa, Iowa City, IA.
Yu-Hsiang WuDepartment of Communication Sciences and Disorders, University of Iowa, Iowa City, IA.
Elizabeth StanglDepartment of Communication Sciences and Disorders, University of Iowa, Iowa City, IA.
Ruth A BentlerDepartment of Communication Sciences and Disorders, University of Iowa, Iowa City, IA.
University of Iowa · US

Funding

Speech Production &LanguageP50DC000242 · NIDCD · UNIVERSITY OF IOWA · PI Bob McMurray · 1989 to 2026
$58.8M
Minimal technologies for hearing aid success in elderly adultsR03DC012551 · NIDCD · UNIVERSITY OF IOWA · PI WU, YU-HSIANG · 2012 to 2014
$445k
NIDCD NIH HHS P50 DC000242NIDCD NIH HHS R03 DC012551
6 · The paper itself

Abstract

backgroundAuditory environments can influence the communication function of individuals with hearing loss and the effects of hearing aids. Therefore, a tool that can objectively characterize a patient's real-world auditory environments is needed. PURPOSE: To use the Language Environment Analysis (LENA) system to quantify the auditory environments of adults with hearing loss, to examine if the use of hearing aids changes a user's auditory environment, and to determine the association between LENA variables and self-report hearing aid outcome measures. RESEARCH

designThis study used a crossover design. STUDY SAMPLE: Participants included 22 adults with mild-to-moderate hearing loss, age 64-82 yr.

interventionParticipants were fitted with bilateral behind-the-ear hearing aids from a major manufacturer. DATA COLLECTION AND ANALYSIS: The LENA system consists of a digital language processor (DLP) that is worn by an individual and records up to 16 hr of the individual's auditory environment. The recording is then automatically categorized according to time spent in different types of auditory environments (e.g., meaningful speech and TV/electronic sound) by the LENA algorithms. The LENA system also characterizes the user's auditory environment by providing the sound levels of different auditory categories. Participants in the present study wore a LENA DLP in an unaided condition and aided condition, which each lasted six to eight days. Participants wore bilateral hearing aids in the aided condition. Percentage of time spent in each auditory environment, as well as median levels of TV/electronic sounds and speech, were compared between subjects' unaided and aided conditions using paired sample t tests. LENA data were also compared to self-report measures of hearing disability and hearing aid benefit using Pearson correlations.

resultsOverall, participants spent the greatest percentage of time in silence (∼40%), relative to other auditory environments. Participants spent ∼12% and 26% of their time in meaningful speech and TV/electronic sound environments, respectively. No significant differences were found between mean percentage of time spent in each auditory environment in the unaided and aided conditions. Median TV/electronic sound levels were on average 2.4 dB lower in the aided condition than in the unaided condition; speech levels were not significantly different between the two conditions. TV/electronic sound and speech levels did not significantly correlate with self-report data.

conclusionsThe LENA system can provide rich data to characterize the everyday auditory environments of older adults with hearing loss. Although TV/electronic sound level was significantly lower in the aided than unaided condition, the use of hearing aids seemed not to substantially change users' auditory environments. Because there is no significant association between objective LENA variables and self-report questionnaire outcomes, these two types of measures may assess different aspects of communication function. The feasibility of using LENA in clinical settings is discussed.

Indexed as

Hearing AidsLanguageAgedAged, 80 and overCross-Over StudiesFemaleHearing Loss, BilateralHearing Loss, SensorineuralHumansMaleMiddle AgedPatient Reported Outcome MeasuresSeverity of Illness IndexSoftware

Identifiers

PMID29664722
PMCPMC6003626
OpenAlexW2619180042

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.