Evidence map›Paper›PMID 34972767›Full record

ArticleBMJ open2021

'We weren't checked in on, nobody spoke to us': an exploratory qualitative analysis of two focus groups on the concerns of ethnic minority NHS staff during COVID-19.

Jehanita Jesuthasan, Richard A Powell, Victoria Burmester, Dasha Nicholls

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Jehanita JesuthasanDepartment of Brain Sciences, Imperial College London Faculty of Medicine, London, UK.ORCID 0000-0002-0341-4546
Richard A PowellDepartment of Primary Care and Public Health, Imperial College London School of Public Health, London, UK.ORCID 0000-0003-4968-3714
Victoria BurmesterDepartment of Brain Sciences, Imperial College London Faculty of Medicine, London, UK.ORCID 0000-0001-7566-3640
Dasha NichollsDepartment of Brain Sciences, Imperial College London Faculty of Medicine, London, UK d.nicholls@imperial.ac.uk.ORCID 0000-0001-7257-6605

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo gain exploratory insights into the multifaceted, lived experience impact of COVID-19 on a small sample of ethnic minority healthcare staff to cocreate a module of questions for follow-up online surveys on the well-being of healthcare staff during the pandemic.

designA cross-sectional design using two online focus groups among ethnic minority healthcare workers who worked in care or supportive roles in a hospital, community health or primary care setting for at least 12 months.

participantsThirteen healthcare workers (11 female) aged 26-62 years from diverse ethnic minority backgrounds, 11 working in clinical roles.

resultsFive primary thematic domains emerged: (1)

conclusionsOur novel study has shown ethnic minority National Health Service (NHS) staff have experienced COVID-19 in a complex, multidimensional manner. Future research with a larger sample should further examine the complexity of these experiences and should enumerate the extent to which these varied thematic experiences are shared among ethnic minority NHS workers so that more empathetic and supportive management and related occupational practices can be instituted.

Indexed as

COVID-19State MedicineCross-Sectional StudiesEthnic and Racial MinoritiesEthnicityFemaleFocus GroupsHumansMinority GroupsSARS-CoV-2Systemic RacismCOVID-19health & safetymental healthoccupational & industrial medicine

Identifiers

PMID34972767
PMCPMC8720640

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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.