Literature DB >> 32539937

COVID-19 and ethnicity: who will research results apply to?

Shaun Treweek1, Nita G Forouhi2, K M Venkat Narayan3, Kamlesh Khunti4.   

Abstract

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Year:  2020        PMID: 32539937      PMCID: PMC7292594          DOI: 10.1016/S0140-6736(20)31380-5

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


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The toll of COVID-19 is not equal. Evidence globally shows a greater COVID-19 burden with older age, male sex, obesity, comorbidities, and poverty.1, 2, 3, 4 Early data suggest that people from Black, Asian, and minority ethnic (BAME) groups in the UK and Black, Hispanic, and Native American groups in the USA are disproportionately at risk of severe COVID-19 complications and deaths.3, 5 A recent systematic review of published, preprint, and grey literature concluded that BAME communities are at increased risk of infection from severe acute respiratory syndrome coronavirus 2 and have more adverse outcomes, including death. Descriptive data from the Intensive Care National Audit and Research Centre indicate that 33% of patients critically ill with confirmed COVID-19 in intensive care in the UK were from BAME groups, despite them comprising about 13% of the UK population. Black people in the USA, who represent 13·4% of the population, comprise between 28% and 70·5% of deaths from COVID-19 depending on the state, and in predominantly Black communities the risk of infection is about three times higher than in predominantly white communities. In New Mexico, Native Americans account for 11% of the population but 37% of COVID-19 confirmed cases. Stark differences also extend to health-care staff. Within the UK National Health Service, about 21% of staff are from BAME backgrounds but they account for 63% of COVID-19 deaths among health-care workers. In the USA, Black people account for 21% of COVID-19 cases among health professionals despite comprising only 5% of doctors and 10% of nurses in the country.10, 11 The extent to which known or unknown factors contribute to the greater COVID-19 burden or severity among BAME people is not known.3, 12 Research efforts are underway, including randomised trials of potential COVID-19 treatments and vaccines as well as observational and other studies, and it is vital that such research should include representative samples of people with BAME backgrounds. Yet such inclusion is not guaranteed. BAME individuals are under-represented in research.13, 14 For instance, in the UK, type 2 diabetes is disproportionately prevalent in South Asians and they have poorer long-term outcomes, but in a review of 12 trials, the mean South Asian involvement was 5·5% despite South Asians representing 11·2% of the UK type 2 diabetes population. Four of the 12 studies did not even report ethnicity. Similar low participation by South Asians was seen in clinical trials in the USA. Giving insufficient attention to ethnicity in clinical trials of chronic diseases is also evident in COVID-19 research. Of 1518 COVID-19 studies registered on ClinicalTrials.gov, only six are currently collecting data on ethnicity. The reasons for under-representation of BAME groups in research are complex and could be attributable to hesitancy on the part of participants, lack of inclusion by health-care staff or researchers, and other socioeconomic factors and entrenched structural inequalities. These separately and collectively result in a range of outcomes from non-participation to exclusion, mostly inadvertent but sometimes by design. Barriers to participation in research include language challenges, low research awareness or mistrust of research, stigma, cultural values and beliefs about research, poor engagement from researchers, and general inaccessibility to research in deprived areas, including concerns of costs of time and money. Recruitment strategies and information provision approaches that work for the majority population may be ineffective for other parts of the population; there is little tailoring. There is no rigorous evidence on approaches that might, for example, improve recruitment of particular BAME groups to trials. Decisions to limit trial participant information leaflets and consent forms to English, for example, mean 44·9% of Bangladeshi women and 31% of Pakistani women older than 65 years in the UK will not understand them. An American Community Survey found that 21·9% of the US population spoke a language other than English at home, with Spanish the predominant language. And written translation is just the start. Interpreters could be needed, along with culturally sensitive recruitment methods such as gender matching between research staff and potential participants. Ensuring research is culturally and linguistically accessible and inclusive requires the commitment and resources of researchers from the start and the resulting increase in costs for these studies will need to be considered by the funders. The US National Institutes of Health has mandated inclusion of BAME groups since 1994. There is no obligation to record ethnicity in research studies in the UK. The UK's National Institute for Health Research initiated the Innovations in Clinical Trial Design and Delivery for underserved groups (INCLUDE) project in 2018 to widen inclusion of many underserved groups, including BAME groups, in research. INCLUDE's work on BAME group involvement will recommend in late summer, 2020, that researchers think carefully about who their research results must apply to, whether there are important cultural factors to consider, whether the focus of the research might make it harder for some groups to engage, and whether the proposed design and conduct of the research will make it harder for some groups to take part. Toolkits that help researchers to engage, inform, and recruit BAME participants to research do exist. Recommendations within them include using BAME researchers familiar with relevant culture and languages, using community organisations to develop recruitment strategies, and having less reliance on written materials. The COVID-19 pandemic has exposed a problem that has been with us for a long time. Results from COVID-19 research must apply to everyone in the community who will be a candidate for treatment or prevention, and BAME individuals—often over-represented in the toll of the disease—should be an integral part of that effort. Omission has consequences: people could miss out on important benefits or not be spared harms. If research fails to engage all those who could benefit, there is no guarantee that the results will apply to populations not included in the research. To improve the involvement of BAME groups in research, thinking about participants' ethnicities when designing and reporting research needs to become as routine as thinking about their age and sex. Researchers, research funders, and public health and policy agencies all have a duty to ensure that concerted action is taken for research studies to serve and represent the whole community, not just part of it.
  13 in total

1.  Under-representation of minority ethnic groups in research--call for action.

Authors:  Sabi Redwood; Paramjit S Gill
Journal:  Br J Gen Pract       Date:  2013-07       Impact factor: 5.386

2.  Underrepresentation of women, elderly patients, and racial minorities in the randomized trials used for cardiovascular guidelines.

Authors:  Muhammad Rizwan Sardar; Marwan Badri; Catherine T Prince; Jonathan Seltzer; Peter R Kowey
Journal:  JAMA Intern Med       Date:  2014-11       Impact factor: 21.873

3.  The under-representation of minority ethnic groups in UK medical research.

Authors:  Andrew Smart; Eric Harrison
Journal:  Ethn Health       Date:  2016-05-13       Impact factor: 2.772

4.  COVID-19 and African Americans.

Authors:  Clyde W Yancy
Journal:  JAMA       Date:  2020-05-19       Impact factor: 56.272

5.  Is ethnicity linked to incidence or outcomes of covid-19?

Authors:  Kamlesh Khunti; Awadhesh Kumar Singh; Manish Pareek; Wasim Hanif
Journal:  BMJ       Date:  2020-04-20

6.  Synthesis of researcher reported strategies to recruit adults of ethnic minorities to clinical trials in the United Kingdom: A systematic review.

Authors:  Yumna Masood; Peter Bower; Muhammad Wali Waheed; Gill Brown; Waquas Waheed
Journal:  Contemp Clin Trials       Date:  2019-01-08       Impact factor: 2.226

7.  The impact of ethnicity on clinical outcomes in COVID-19: A systematic review.

Authors:  Daniel Pan; Shirley Sze; Jatinder S Minhas; Mansoor N Bangash; Nilesh Pareek; Pip Divall; Caroline Ml Williams; Marco R Oggioni; Iain B Squire; Laura B Nellums; Wasim Hanif; Kamlesh Khunti; Manish Pareek
Journal:  EClinicalMedicine       Date:  2020-06-03

8.  Sharpening the global focus on ethnicity and race in the time of COVID-19.

Authors:  Neeraj Bhala; Gwenetta Curry; Adrian R Martineau; Charles Agyemang; Raj Bhopal
Journal:  Lancet       Date:  2020-05-10       Impact factor: 79.321

9.  Covid-19: risk factors for severe disease and death.

Authors:  Rachel E Jordan; Peymane Adab; K K Cheng
Journal:  BMJ       Date:  2020-03-26

10.  Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis.

Authors:  Jing Yang; Ya Zheng; Xi Gou; Ke Pu; Zhaofeng Chen; Qinghong Guo; Rui Ji; Haojia Wang; Yuping Wang; Yongning Zhou
Journal:  Int J Infect Dis       Date:  2020-03-12       Impact factor: 3.623

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  23 in total

1.  Who's included? The role of the Clinical Research Nurse in enabling research participation for under-represented and under-served groups.

Authors:  Kelly Beer; Melanie Gentgall; Nicola Templeton; Claire Whitehouse; Nicola Straiton
Journal:  J Res Nurs       Date:  2022-04-01

2.  Efficacy of COVID-19 vaccines by race and ethnicity.

Authors:  N Salari; A Vepa; A Daneshkhah; N Darvishi; H Ghasemi; K Khunti; M Mohammadi
Journal:  Public Health       Date:  2022-05-05       Impact factor: 4.984

3.  Developing the INCLUDE Ethnicity Framework-a tool to help trialists design trials that better reflect the communities they serve.

Authors:  Shaun Treweek; Katie Banister; Peter Bower; Seonaidh Cotton; Declan Devane; Heidi R Gardner; Talia Isaacs; Gary Nestor; Adepeju Oshisanya; Adwoa Parker; Lynn Rochester; Irene Soulsby; Hywel Williams; Miles D Witham
Journal:  Trials       Date:  2021-05-10       Impact factor: 2.279

4.  Putting the voices and insights of migrants and diverse ethnic groups at the centre of our response to COVID-19.

Authors:  M Gogoi; R Armitage; G Brown; B Ryan; H Eborall; N Qureshi; C A O'Donnell; Y Ciftci; M Pareek; L B Nellums
Journal:  Public Health       Date:  2020-10-10       Impact factor: 2.427

Review 5.  COVID-19: Understanding Inter-Individual Variability and Implications for Precision Medicine.

Authors:  Naveen L Pereira; Ferhaan Ahmad; Mirnela Byku; Nathan W Cummins; Alanna A Morris; Anjali Owens; Sony Tuteja; Sharon Cresci
Journal:  Mayo Clin Proc       Date:  2020-12-03       Impact factor: 7.616

6.  Gender Disparities in Concerns of Cancer Research Participation During COVID-19 Climate.

Authors:  Francesco Magni; Meenakshi Jhala; Amer Harky
Journal:  Cancer Control       Date:  2021 Jan-Dec       Impact factor: 3.302

7.  Self-Isolation and Quarantine during the UK's First Wave of COVID-19. A Mixed-Methods Study of Non-Adherence.

Authors:  Yolanda Eraso; Stephen Hills
Journal:  Int J Environ Res Public Health       Date:  2021-06-30       Impact factor: 3.390

8.  Willingness to Participate in Health Research Among Community-Dwelling Middle-Aged and Older Adults: Does Race/Ethnicity Matter?

Authors:  Sadaf Arefi Milani; Michael Swain; Ayodeji Otufowora; Linda B Cottler; Catherine W Striley
Journal:  J Racial Ethn Health Disparities       Date:  2020-08-17

Review 9.  Ensuring that COVID-19 research is inclusive: guidance from the NIHR INCLUDE project.

Authors:  Miles D Witham; Eleanor Anderson; Camille B Carroll; Paul M Dark; Kim Down; Alistair S Hall; Joanna Knee; Eamonn R Maher; Rebecca H Maier; Gail A Mountain; Gary Nestor; John T O'Brien; Laurie Oliva; James Wason; Lynn Rochester
Journal:  BMJ Open       Date:  2020-11-05       Impact factor: 2.692

10.  A sub-national real-time epidemiological and vaccination database for the COVID-19 pandemic in Canada.

Authors:  Isha Berry; Meghan O'Neill; Shelby L Sturrock; James E Wright; Kamal Acharya; Gabrielle Brankston; Vinyas Harish; Kathy Kornas; Nika Maani; Thivya Naganathan; Lindsay Obress; Tanya Rossi; Alison E Simmons; Matthew Van Camp; Xiao Xie; Ashleigh R Tuite; Amy L Greer; David N Fisman; Jean-Paul R Soucy
Journal:  Sci Data       Date:  2021-07-15       Impact factor: 6.444

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