Evidence map›Paper›PMID 38962748›Full record

ArticleAfrican journal of disability2024

Understanding the impacts of the COVID-19 response measures on Deaf adults in Cape Town.

Charlotte Slome, Myrna van Pinxteren, Leslie London

Abstract read
In one paragraph

Article in African journal of disability, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Charlotte SlomeSchool of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0009-0005-7909-4293
Myrna van PinxterenDivision of Social and Behavioural Sciences, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-6046-9607
Leslie LondonSchool of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0003-1297-2758

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: International literature has evidenced that Deaf people have been disadvantaged during the COVID-19 pandemic; however, there is currently little research published within the South African context. Objectives: This study investigated the ways in which the COVID-19 pandemic and its consequent response measures impacted Deaf adults in Cape Town. Method: Using a descriptive approach, semi-structured, qualitative interviews were held with 15 Deaf adults in Cape Town, South Africa. Participants were purposively selected through a local Deaf organisation. Data were analysed using thematic analysis. Results: Data revealed the challenges experienced when accessing information, the impact of communication barriers on daily life, and how the response measures impacted access to healthcare. Conclusion: The findings of this study demonstrate how the needs of the Deaf community were overlooked and their voices disregarded during the planning of the national pandemic response, ultimately having detrimental consequences. Therefore, the authors argue for greater inclusion of Deaf representatives to ensure equal access to information and resources, especially during a crisis. Contribution: This study contributes to the growing body of knowledge on the consequences of the COVID-19 pandemic in the field of disability and insights can inform both future research and interventions to promote equity and inclusion for Deaf people.

Indexed as

access to healthcareCOVID-19deafinformation accessSouth Africa

Identifiers

PMID38962748
PMCPMC11219557

What OpenQuestion holds

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LicenceCC BY
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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.