Evidence map›Paper›PMID 36905138›Full record

ArticleInternational journal of audiology2024

Hearing healthcare utilisation among older adults with self-reported hearing loss during the COVID-19 pandemic in the United States.

Hua Ou

Open access · greenAbstract read
In one paragraph

Article in International journal of audiology, 2024. 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
0.7field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

1 author at 1 institution in 1 country.

Hua OuEpidemiology and Statistics Program, Division of Scientific Programs, NIDCD, NIH, Bethesda, MD, USA.
National Institute on Deafness and Other Communication Disorders · US

Funding

Intramural NIH HHS Z99 DC999999
6 · The paper itself

Abstract

objectiveTo ascertain the prevalence, causes, and risk factors of hearing healthcare delays in older people with self-reported hearing loss in the United States.

designThis cross-sectional study used data from the National Health and Ageing Trends Study (NHATS), a nationally representative survey of Medicare beneficiaries. A supplemental COVID-19 survey was mailed to the participants from June to October 2020. STUDY SAMPLE: By January 2021, 3257 participants had returned completed COVID-19 questionnaires, with the majority having been self-administered between July and August 2020.

resultsThe participants in the study represented 32.7 million older adults in the US, with 29.1% reporting hearing loss. Among over 12.4 million older adults who put off needed or planned medical care, 19.6% of those with self-reported hearing loss and 24.5% of hearing aid or device users stated they delayed hearing appointments. Approximately 629,911 older adults with hearing devices were impacted by the COVID-19 outbreak for audiological services. The top three reasons were deciding to wait, service cancellation, and fear of going. Education and race/ethnicity were associated with delaying hearing healthcare.

conclusionsThe COVID-19 pandemic impacted hearing healthcare utilisation among older adults with self-reported hearing loss in 2020, with both patient- and provider- initiated delays.

Indexed as

COVID-19Hearing LossPatient Acceptance of Health CareSelf ReportAgedAged, 80 and overCross-Sectional StudiesFemaleHearing AidsHumansMaleMedicarePandemicsPrevalenceRisk FactorsSARS-CoV-2COVID-19 pandemichearing healthcare utilisationolder adultsSelf-reported hearing loss

Identifiers

PMID36905138
PMCPMC11234923
OpenAlexW4323920891

What OpenQuestion holds

Textmetadata
LicenceTDM
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.