Evidence map›Paper›PMID 35062947›Full record

ArticleInternational journal for equity in health2022

Ezidi voices: The communication of COVID-19 information amongst a refugee community in rural Australia- a qualitative study.

Sunita Joann Rebecca Healey, Nafiseh Ghafournia, Peter D Massey, Karinne Andrich, Joy Harrison, Kathryn Taylor, Katarzyna Bolsewicz

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

7 authors at 5 institutions in 1 country.

Sunita Joann Rebecca HealeyMulticultural Health Service, HNE Health Harker Building, Wallsend Health Services Longworth Ave, Wallsend, Newcastle, NSW, 2287, Australia. Rebecca.Healey@health.nsw.gov.au.
Nafiseh GhafourniaMulticultural Health Service, HNE Health Harker Building, Wallsend Health Services Longworth Ave, Wallsend, Newcastle, NSW, 2287, Australia.
Peter D MasseyCollege of Medicine and Dentistry James Cook University, QLD, 4811, Townsville, Australia.
Karinne AndrichMulticultural Health Service, HNE Health Harker Building, Wallsend Health Services Longworth Ave, Wallsend, Newcastle, NSW, 2287, Australia.
Joy HarrisonMulticultural Health Service, HNE Health Armidale Community Health Centre, 226 Rusden St, Armidale, NSW, 2350, Australia.
Kathryn TaylorCentral Coast Population Health Unit Level 1, 4 Watt St, Gosford, NSW 2250, Australia.
Katarzyna BolsewiczThe University of Newcastle, University Drive, Callaghan, Newcastle, NSW 2308, Australia.
Hunter New England Local Health District · AUCentral Coast Local Health District · AUJames Cook University · AUPoultry CRC · AUUniversity of Newcastle Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is growing evidence that government health information related to COVID-19 has failed to adequately reach culturally and linguistically diverse (CALD) populations in Australia. Refugees are a unique sub-set of the CALD communities and are subject to numerous barriers preventing adequate health care, both pre- and post-migration. The barriers are accentuated during emergencies, such as a pandemic, as a result of an intersection of various social and economic inequalities. The recently resettled Ezidi refugee community in a regional area of Australia is an example of a community sitting at the intersection of various inequities and thus at greater risk from COVID-19. The purpose of this study is to describe the experiences of the Ezidi in a regional area with COVID-19 information and how this has been communicated to and shared within this group; what barriers the community may experience in accessing COVID-19 information; and how the government-led COVID-19 information communication could be improved.

methodsThis qualitative study was designed to explore the perceptions and views of the Ezidi and service providers regarding COVID-19 messaging. Multicultural and Refugee Health staff facilitated interviews with four local service providers and ten Ezidi community members, including seven influential leaders. Thematic analysis was employed across individual, pair and group data analysis. Similar categories were grouped into themes.

resultsThe main findings of the study are: the refugee experience influences the communication of COVID-19 messages; cultural, social and gender norms influence responses to COVID-19; trusted individuals and service providers are key in communities' uptake of COVID-19 messages; currently available governmental COVID-19 information resources and sharing strategies were found unhelpful and inappropriate; COVID-19 communiqués and message delivery for this regional minority refugee community can be improved.

conclusionThe recently resettled Ezidi community, and likely other similar communities, would benefit from tailored engagement by government organisations, as well as settlement services to improve the communication of COVID-19 health information and reduce related inequities.

Indexed as

COVID-19RefugeesAustraliaCommunicationHealth Services AccessibilityHumansQualitative ResearchSARS-CoV-2COVID-19 messagesEzidi communitRefugeesRegional Australia

Identifiers

PMID35062947
PMCPMC8777446
OpenAlexW4206307453

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.