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

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

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

Notice bibliographique

RevueEClinicalMedicine · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueEthics in Clinical Research
Établissements canadiensPopulation Health Research Institute
Organismes subventionnairesAcademy of Medical SciencesNational Institute for Health and Care Research
Mots-clésEthnic groupMedicineScopusCoronavirus disease 2019 (COVID-19)PopulationHealth equityPandemicGovernment (linguistics)Public healthDemographyMEDLINEFamily medicineDiseasePolitical scienceSociologyEnvironmental healthNursingLawPathology

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,016
score de la tête « metaresearch » (Gemma)0,213
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,243
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0160,213
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,002
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,004
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,913
Tête enseignante GPT0,716
Écart entre enseignants0,197 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations63
Publié2021
Routes d'admission1
Résumé présentoui

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