| Literature DB >> 35321005 |
Caroline Barker1,2, Katharine Collet3, Diane Gbesemete1,4, Maria Piggin3, Daniella Watson5, Philippa Pristerà3, Wendy Lawerence1,6, Emma Smith7, Michael Bahrami-Hessari1, Halle Johnson3, Katherine Baker2, Ambar Qavi3, Carmel McGrath1,4, Christopher Chiu8, Robert C Read1,4, Helen Ward3.
Abstract
Background: Human challenge studies involve the deliberate exposure of healthy volunteers to an infectious micro-organism in a highly controlled and monitored way. They are used to understand infectious diseases and have contributed to the development of vaccines. In early 2020, the UK started exploring the feasibility of establishing a human challenge study with SARS-CoV-2. Given the significant public interest and the complexity of the potential risks and benefits, it is vital that public views are considered in the design and approval of any such study and that investigators and ethics boards remain accountable to the public.Entities:
Keywords: COVID-19; Ethics; acceptability; consultation; human challenge study; public
Year: 2022 PMID: 35321005 PMCID: PMC8921687 DOI: 10.12688/wellcomeopenres.17516.1
Source DB: PubMed Journal: Wellcome Open Res ISSN: 2398-502X
Survey respondent characteristics.
| Variable | Category | N | % | Variable | Category | N | % |
|---|---|---|---|---|---|---|---|
| Age | 18–24 | 136 | 5.6 | Gender | Male | 1161 | 47.6 |
| 25–34 | 355 | 14.5 | Female | 1273 | 52.2 | ||
| 35–44 | 420 | 17.2 | Non-binary/Gender variant | 1 | 0.0 | ||
| 45–54 | 450 | 18.4 | Not listed | 1 | 0.0 | ||
| 55+ | 1064 | 43.6 | Prefer not to say | 2 | 0.1 | ||
| No answer | 16 | 0.7 | No answer | 3 | 0.1 | ||
| Variable | Category | N | % | ||||
| Ethnicity | White | ||||||
| English/Welsh/Scottish/Northern Irish/British | 2153 | 88.2 | |||||
| Irish | 29 | 1.2 | |||||
| Gypsy or Irish Traveller | 2 | 0.1 | |||||
| Any other White background | 106 | 4.3 | |||||
| Mixed/Multiple ethnic groups | |||||||
| White and Black Caribbean | 9 | 0.4 | |||||
| White and Black African | 2 | 0.1 | |||||
| White and Asian | 13 | 0.5 | |||||
| Any other Mixed/Multiple ethnic background | 20 | 0.8 | |||||
| Asian/Asian British | |||||||
| Indian | 29 | 1.2 | |||||
| Pakistani | 11 | 0.5 | |||||
| Bangladeshi | 8 | 0.3 | |||||
| Chinese | 7 | 0.3 | |||||
| any other Asian background | 8 | 0.3 | |||||
| Black/African/Caribbean/Black British | |||||||
| African | 13 | 0.5 | |||||
| Caribbean | 3 | 0.1 | |||||
| any other Black/African/Caribbean background | 3 | 0.1 | |||||
| Other ethnic group | |||||||
| Arab | 1 | 0.0 | |||||
| Any other ethnic group | 4 | 0.2 | |||||
| Prefer not to say | 17 | 0.7 | |||||
| No answer | 3 | 0.1 | |||||
Focus group discussant characteristics.
| Variable | Category | N | % | Variable | Category | N | % |
|---|---|---|---|---|---|---|---|
| Age | 18–30 | 26 | 45.6 | Gender | Male | 29 | 50.8 |
| 31+ years | 31 | 54.4 | Female | 27 | 47.4 | ||
| Non-binary/Gender variant | 1 | 1.8 | |||||
| Variable | Category | N | % | ||||
| Ethnicity | White | ||||||
| English/Welsh/Scottish/Northern Irish/British | 33 | 57.9 | |||||
| Irish | 2 | 3.5 | |||||
| Gypsy or Irish Traveller | 0 | 0 | |||||
| Any other White background | 6 | 10.5 | |||||
| Mixed/Multiple ethnic groups | |||||||
| White and Black Caribbean | 0 | 0 | |||||
| White and Black African | 1 | 1.8 | |||||
| White and Asian | 1 | 1.8 | |||||
| Any other Mixed/Multiple ethnic background | 0 | 0 | |||||
| Asian/Asian British | |||||||
| Indian | 5 | 8.8 | |||||
| Pakistani | 4 | 7.0 | |||||
| Bangladeshi | 1 | 1.8 | |||||
| Chinese | 0 | 0 | |||||
| any other Asian background | 2 | 3.5 | |||||
| Black/African/Caribbean/Black British | |||||||
| African | 0 | 0 | |||||
| Caribbean | 1 | 1.8 | |||||
| any other Black/African/Caribbean background | 0 | 0 | |||||
| Other ethnic group | |||||||
| Arab | 1 | 1.8 | |||||
| Any other ethnic group | 0 | 0 | |||||
Figure 1. Thematic map.
The following thematic map provides a visual overview of all results, both survey and FGD, as conceptualized in the methods section of the paper.
Existing awareness of the idea of a human challenge study with coronavirus (a) and sources of information (b).
Percentages for sources of information are presented as a percentage of the number of people who had previously read, seen or heard about the idea of a human challenge study with coronavirus.
| (a) | (b) | ||
|---|---|---|---|
| Had respondents read, seen or heard anything about the idea of a human challenge study with coronavirus (COVID-19)? | Sources of information | Percentage (Count) | |
|
|
| News or media coverage | 76.0% (323) |
| Yes | 17.4% (425) | Social media | 23.3% (99) |
| No | 78.0% (1903) | Personal conversation | 14.4% (61) |
| Don't know | 4.2% (102) | In depth or scientific articles | 19.1% (81) |
| Prefer not to say | 0.4% (9) | Other | 15.3% (65) |
| Unanswered | 0.1% (2) | Don't know/ can't recall | 3.1% (13) |
Figure 2. Opinion statements relating to a human challenge study with coronavirus.
Various opinion statements were asked of participants throughout the survey to better understand the public’s views on HCS with coronavirus. Selected statements are included in the chart below.
Figure 3. Agreement or disagreement with a human challenge study with coronavirus taking place in the UK.
Answers the question “ To what extent, if at all, do you agree or disagree that a human challenge study with coronavirus should take place in the UK?” This question was asked at the start of the survey, after having watched the animation. As the survey content may have prompted considerations and/or reflections that might have changed an individual’s opinion of such a study, the question was asked again at the conclusion of the survey.
Potential problems identified by survey respondents with having to stay in a medical unit in isolation for 14 days.
Answers the question: Which, if any, of the following do you see as potential problems if you had to stay at a medical unit in isolation ? Other- animal was classified as a separate category based on analysis. Among other one off reasons, Other – unspecified included limited numbers for (1) would not take part, (2) not eligible – age, and (3) not eligible – health.
| Problem | Percentage
|
|---|---|
| It would negatively affect my mental health (e.g. I would get bored, stressed, lonely, anxious, angry, etc.) | 32.3% (788) |
| It would negatively affect my fitness (e.g. my nutrition would be different, I couldn't exercise as usual, etc.) | 25.7% (627) |
| It would negatively affect my physical health (e.g. I might experience short- or long-term symptoms of
| 43.5% (1063) |
| I would find it difficult to separate myself from others in my household (e.g. my partner, children,
| 35.5% (867) |
| I would find it difficult not being able to go outside | 35.8% (874) |
| I have caring responsibilities and would find it difficult to find someone to cover those (e.g. I care for a
| 19.8% (483) |
| It would negatively affect my social life (e.g. it would negatively impact my friendships, I would miss
| 10.9% (266) |
| I would not be able to carry on working | 26.2% (640) |
| I would have to use my annual leave | 23.3% (569) |
| I would experience a loss of income | 24.4% (595) |
| My studies or education would suffer | 4.5% (109) |
| My employer would not be understanding or supportive | 17.5% (428) |
| Other – animal responsibilities (eg. pets) | 1.7% (41) |
| Other – unclassified | 7.8% (190) |
| Don't know | 3.1% (75) |
| Not applicable - I do not see any potential problems from staying at a medical unit in isolation | 12.9% (316) |