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Record W3172069664 · doi:10.1016/j.eclinm.2021.100903

Ethnic minority and migrant underrepresentation in Covid-19 research: Causes and solutions

2021· article· en· W3172069664 on OpenAlexaff
Melanie Etti, Hazel Fofie, Mohammad S Razai, Alison F Crawshaw, Sally Hargreaves, Lucy Goldsmith

Bibliographic record

VenueEClinicalMedicine · 2021
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsPopulation Health Research Institute
FundersAcademy of Medical SciencesNational Institute for Health and Care Research
KeywordsEthnic groupMedicineScopusCoronavirus disease 2019 (COVID-19)PopulationHealth equityPandemicGovernment (linguistics)Public healthDemographyMEDLINEFamily medicineDiseasePolitical scienceSociologyEnvironmental healthNursingLawPathology

Abstract

fetched live from OpenAlex

The Covid-19 pandemic has highlighted the longstanding under representation of ethnic minorities in clinical research – including migrant populations [[1]Gill P.S. Redwood S. Under-representation of minority ethnic groups in research-call for action.Br J Gen Pract. 2013; 63: 342-343Crossref PubMed Scopus (73) Google Scholar]. Ethnic minorities in the UK are at significantly greater risk of severe disease and death from Covid-19 than their White counterparts [[2]Public Health England. Disparities in the risk and outcomes of COVID-19 Available from: https://www.gov.uk/government/publications/covid-19-review-of-disparities-in-risks-and-outcomesGoogle Scholar]. Similarly, migrants in high-income countries with Covid-19 have been identified as being at potentially greater risk of hospitalisation and death than non-migrants [[3]Hayward S.E. Deal A. Cheng C. Crawshaw A.F. Orcutt M. Vandrevala T.F. et al.Clinical outcomes and risk factors for COVID-19 among migrant populations in high-income countries: a systematic review.medRxiv. 2020; https://doi.org/10.1101/2020.12.21.20248475Crossref Scopus (0) Google Scholar]. Despite this, a recent National Institute for Health Research (NIHR) report found ethnic minorities constitute only 9·26% of participants in UK Covid-19 studies, below their representation in the general population (13·80%) [[4]NIHR research ethnicity data provides insight on participation in COVID-19 studies [Internet]. [cited 2021 Mar 16]. Available from: https://www.nihr.ac.uk/news/nihr-research-ethnicity-data-provides-insight-on-participation-in-covid-19-studies/26460Google Scholar]. The NIHR has stated that Covid-19 research needs more ethnic minority participants to ensure the research is representative of the UK population. The inclusion of these groups in Covid-19 vaccine trials is particularly pertinent, with vaccine uptake being lower among ethnic minority groups than White people in the UK despite their increased risk [[5]Razai M.S. Osama T. McKechnie D.G.J. Majeed A. Covid-19 vaccine hesitancy among ethnic minority groups.BMJ. 2021; 372: 1-2Google Scholar]. Some migrant group's concerns around the vaccine are due to their lack of inclusion in the clinical trials, highlighting an urgent need to understand and address the reasons underlying these disparities in Covid-19 research participation [[6]Crawshaw A.F. Deal A. Rustage K. Forster A.S. Campos- I. Vandrevala T. et al.What must be done to tackle vaccine hesitancy and barriers to COVID-19 vaccination in migrants?.J Travel Med. 2021; https://doi.org/10.1093/jtm/taab048Crossref PubMed Scopus (64) Google Scholar]. Reasons for the underrepresentation of ethnic minority groups in Covid-19 research are poorly elucidated but are likely due to a combination of personal and structural factors. Socio-political factors may include social deprivation limiting access to health services, and subsequently, participation in – and awareness of – health research. Participant-related factors may include language and cultural barriers, and mistrust towards researchers and research institutions. Fear, mistrust and access barriers are the effects of powerful upstream factors including structural racism, marginalisation and ethnic exclusion. Previous studies have noted that a good researcher-participant relationship is a key facilitator of their participation [[7]Schmotzer G.L. Barriers and facilitators to participation of minorities in clinical trials.Ethn & Dis. 2012; 22: 226-230PubMed Google Scholar]. Lack of ethnic minority participation has also been linked to racial discrimination and previous negative healthcare experiences [[5]Razai M.S. Osama T. McKechnie D.G.J. Majeed A. Covid-19 vaccine hesitancy among ethnic minority groups.BMJ. 2021; 372: 1-2Google Scholar]. A qualitative study in the UK seeking the views of ethnic minorities towards participation in Covid-19 vaccine trials identified a range of barriers including concerns around attending hospitals, lack of support if problems arose and language barriers between themselves and research staff, despite agreement that this research was necessary [[8]Ekezie W. Czyznikowska B.M. Rohit S. Harrison J. Miah N. Campbell-Morris P. et al.The views of ethnic minority and vulnerable communities towards participation in COVID-19 vaccine trials.J Public Health. 2020; : 1-3Google Scholar]. Factors relating to research design and approach taken by researchers, including the omission of ethnicity from covariate data and non-inclusive recruitment strategies, are also likely to impact negatively on recruitment from these communities. As of 27th March 2021, only 1·43% of US-based studies investigating Covid-19 registered on Clinicaltrials.gov were collecting data about ethnicity, highlighting how this problem continues to go overlooked. Another review examining ethnic minority research participation found that the number of individuals from minority groups actually invited by researchers to participate in research was disproportionately small compared to their representation in the wider population [[9]Wendler D. Kington R. Madans J. Van Wye G Christ-Schmidt H. Pratt L.A. et al.Are racial and ethnic minorities less willing to participate in health research?.PLoS Med. 2005; 3: e19Crossref PubMed Scopus (623) Google Scholar]. Strategies to increase ethnic minority representation in medical research must seek to tackle the root causes of underrepresentation including systemic racism, racial discrimination and access barriers. In-depth cross-sectoral qualitative research is urgently needed to better understand the barriers hindering the involvement of people from ethnic minority communities in clinical research and develop robust solutions. Initiatives such as the INCLUDE project, which aims to promote the inclusion of underserved communities in clinical trials, are forming the basis for this much needed work and may provide fresh insight and useful action points [[10]Witham M.D. Anderson E. Carroll C. Dark P.M. Down K. Hall A.S. et al.Developing a roadmap to improve trial delivery for under-served groups: results from a UK multi-stakeholder process.Trials. 2020; 21: 694Crossref PubMed Scopus (64) Google Scholar]. Researchers and policy makers should be educated and supported to prioritise equitable access to research participation for ethnic minorities and migrants, particularly for conditions that disproportionately affect them. Strategies for overcoming participation disparities should not be ad hoc, but rather, part of a policy framework underpinned by Principle 13 of the Declaration of Helsinki. Practical solutions for increasing recruitment could include translating participant information into languages other than English, using diverse recruitment strategies to ensure study information and invitations reach potential participants among ethnic minority and migrant communities, and developing community engagement programmes to dispel rumours and misinformation which may erode trust in these studies [[8]Ekezie W. Czyznikowska B.M. Rohit S. Harrison J. Miah N. Campbell-Morris P. et al.The views of ethnic minority and vulnerable communities towards participation in COVID-19 vaccine trials.J Public Health. 2020; : 1-3Google Scholar]. Addressing factors connected to economic disadvantage (which may disproportionately affect certain ethnic minority groups) will also be needed, including reimbursement for childcare costs and travel expenses [[9]Wendler D. Kington R. Madans J. Van Wye G Christ-Schmidt H. Pratt L.A. et al.Are racial and ethnic minorities less willing to participate in health research?.PLoS Med. 2005; 3: e19Crossref PubMed Scopus (623) Google Scholar]. Being clear about the potential benefits of participation will be important, alongside consideration of cultural and religious schedules [[8]Ekezie W. Czyznikowska B.M. Rohit S. Harrison J. Miah N. Campbell-Morris P. et al.The views of ethnic minority and vulnerable communities towards participation in COVID-19 vaccine trials.J Public Health. 2020; : 1-3Google Scholar]. The NHS Race & Health Observatory, which has responded to the specific health and wellbeing of ethnic groups in the UK, should now also focus on the equitable inclusion of these groups in Covid-19 clinical research and trials. Ultimately, we should ensure meaningful participation is placed at the heart of public health interventions research, with beneficiaries of the research included in every stage of the research pathway [[6]Crawshaw A.F. Deal A. Rustage K. Forster A.S. Campos- I. Vandrevala T. et al.What must be done to tackle vaccine hesitancy and barriers to COVID-19 vaccination in migrants?.J Travel Med. 2021; https://doi.org/10.1093/jtm/taab048Crossref PubMed Scopus (64) Google Scholar]. The Authors have nothing to disclose.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.213
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.213
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.913
GPT teacher head0.716
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations63
Published2021
Admission routes1
Has abstractyes

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