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Guiding organisational decision-making about COVID-19 asymptomatic testing in workplaces: mixed-method study to inform an ethical framework



Workplace programmes to test staff for asymptomatic COVID-19 infection have become common, but raise a number of ethical challenges. In this article, we report the findings of a consultation that informed the development of an ethical framework for organisational decision-making about such programmes.


We conducted a mixed-method consultation – a survey and semi-structured interviews during November–December 2020 in a UK case study organisation that had introduced asymptomatic testing for all staff working on-site in its buildings. Analysis of closed-ended survey data was conducted descriptively. An analysis approach based on the Framework Method was used for the open-ended survey responses and interview data. The analyses were then integrated to facilitate systematic analysis across themes. Inferences were based on the integrated findings and combined with other inputs (literature review, ethical analysis, legal and public health guidance, expert discussions) to develop an ethical framework.


The consultation involved 61 staff members from the case study organisation (50 survey respondents and 11 interview participants). There was strong support for the asymptomatic testing programme: 90% of the survey respondents viewed it as helpful or very helpful. Open-ended survey responses and interviews gave insight into participants’ concerns, including those relating to goal drift, risk of false negatives, and potential negative impacts for household members and people whose roles lacked contractual and financial stability. Integration of the consultation findings and the other inputs identified the importance of a whole-system approach with appropriate support for the key control measure of isolation following positive tests. The need to build trust in the testing programme, for example through effective communication from leaders, was also emphasised.


The consultation, together with other inputs, informed an ethical framework intended to support employers. The framework may support organisational decision-making in areas ranging from design and operation of the programme through to choices about participation. The framework is likely to benefit from further consultation and refinement in new settings.

Peer Review reports


Asymptomatic testing for COVID-19 for staff in workplaces has become a common response to the pandemic [1,2,3,4,5], based on the principle that early detection of positive cases can, through isolation of individuals and their close contacts, disrupt transmission and reduce risk [6,7,8,9,10,11,12]. COVID-19 asymptomatic testing programmes have, however, attracted considerable controversy, for example regarding their efficacy, possible unintended negative consequences, and issues around equity and privacy [6, 10, 13,14,15,16,17,18,19,20,21,22]. Many debates so far have concerned large-scale mass testing programmes, such as in public health districts or higher education settings [23,24,25,26,27,28]. Distinctive issues are raised by organisations choosing to operate workplace asymptomatic testing programmes for their staff [1, 29,30,31,32].

These issues arise in a context where workplace health interventions more generally have been a growing focus of tension and debate [33], for example regarding impacts on privacy, risks of discrimination, compromise of employee autonomy and unwarranted employer paternalism [33,34,35,36]. A key ethical debate concerns the extent to which the health of an employee is a private matter over which the individual has full autonomy, or whether there are overriding principles – such as an employer’s legal or ethical duty of care to the entire body of employees, clients, and wider society [32,33,34, 36]. These debates have, for example, been prominent in relation to programmes that test employees for substances that might impair performance in safety–critical industries [37,38,39], or programmes that involve testing or vaccination for specific infectious diseases, e.g. influenza [40] and hepatitis C [41, 42]. Another set of concerns focuses on the potential for undue influence on consent to workplace health interventions, given employees’ dependent relationship with their employers [36].

These kinds of debates about workplace health interventions are complicated by the acute public health emergency posed by the COVID-19 pandemic [15, 43, 44]. Balancing the rights of individuals, groups and organisations with questions of collective good is not straightforward in the context of a potentially serious infectious disease with a two week infectious period and relatively high levels of asymptomatic infection. The UK government and some advisory bodies have issued guidance on mass asymptomatic testing for COVID-19 during waves of the pandemic (e.g. [17, 45, 46]). Some general guidance for workplace testing has also been issued in various countries (e.g. [1, 4, 5, 29, 30, 47]), but few resources have focused specifically on ethical issues in workplace settings [32].

This is problematic because workplaces considering a COVID-19 asymptomatic testing programme have to grapple with a set of inter-related responsibilities that may not sit easily together, such as the responsibility to provide a safe workplace and to respect individual choices and personal privacy [5, 30]. They generally must also develop policies to swiftly notify public health agencies of positive test results [4, 5, 31], process personal data in fair, lawful and transparent ways [30, 31], and ensure that any testing regime is appropriately certified and compliant with regulatory requirements for health interventions, medical devices, in vitro diagnostics and equality [31, 48,49,50,51,52]. Further, decisions about choice of testing regime and likely effectiveness may need to be made in conditions of great uncertainty, rapidly evolving science and technology developments, and shifting policy contexts [53]. In such circumstances, the need to identify and address ethical issues using participatory approaches with involvement from different stakeholders has been repeatedly emphasised [54,55,56,57]. However, this need has not yet been addressed in the context of asymptomatic COVID-19 workplace testing programmes.

In this article, we address this void. We report the findings of a consultation with staff in a case study organisation that had introduced asymptomatic testing for all staff working on-site in its buildings. The findings were combined with other inputs (i.e. literature review, ethical, legal and public health guidance, expert discussions) to inform the development of a framework to guide organisational decision-making about testing staff for asymptomatic COVID-19 infections.


We used a multi-stage iterative process to develop an ethical framework for asymptomatic COVID-19 testing in workplaces, using methods very similar to those we have previously reported in relation to an ethical framework for COVID-19 testing in higher education institutions [23], including:

  1. (1)

    development of an initial provisional framework to inform the topics and analysis of the consultation;

  2. (2)

    consulting staff at a case study organisation using a survey and semi-structured interviews;

  3. (3)

    analysing and integrating the survey and interview data; and

  4. (4)

    drawing inferences from the integrated consultation findings and other inputs (e.g. literature review, ethical analysis, public health guidance, and the authors’ expertise) to devise an ethical framework.

Provisional framework

A provisional framework informed the topics of the consultation’s survey and semi-structured interview guide. It also informed initial analysis and inferences drawn from the consultation’s findings. Development of the initial provisional ethical framework was informed by three primary resources. First, we drew on an ethical framework previously developed for COVID-19 testing for NHS workers [58]. Second, we conducted an informal literature review and analysis of ethical, legal and practical issues potentially relevant for asymptomatic workplace testing, such as public health ethics (e.g. [32, 54, 56, 59,60,61,62]), ethics of workplace health interventions (e.g. [33,34,35,36]), and official governmental guidance on asymptomatic testing. And third, we drew on author team expertise in law, ethics, social science, anthropology, public health and healthcare improvement.

Case study mixed-method consultation

We used a mixed-method approach (a survey and semi-structured interviews) to consult employees at a case study organisation that had introduced asymptomatic testing for all staff working on-site in its buildings. The organisation’s workforce was mostly desk-based, but a substantial minority of staff had public-facing and client-facing roles (including hospitality, retail and reception). The testing programme involved nasal self-swabbing by staff at home (before travelling to work), followed by a polymerase chain reaction (PCR) analysis of samples conducted by a third-party laboratory. The programme’s policy was that testing was mandatory for anyone needing or wishing to work onsite.

Our consultation took place in November–December 2020, during a period when the programme was already implemented on a small scale for members of the workforce who were required to be on-site during the early months of the pandemic. The programme was planned to be rolled out to the remaining staff (who had been working from home) as part of the more general return to buildings.

We used a mix of convenience and purposive sampling [63, 64], with the aim of achieving diversity of perspectives and socio-demographic characteristics. Participants were initially recruited through messages on the organisation’s intranet (convenience sampling). A second wave of recruitment was employed using targeted email invitations to individuals with various roles in the organisation (purposive sampling). Participants visited a webpage with further information and then registered for the consultation on Thiscovery (, an online research and development platform created and developed by The Healthcare Improvement Studies (THIS) Institute at the University of Cambridge. Written consent was provided by all participants prior to the interview or survey. A range of socio-demographic data was collected (e.g. age, gender, ethnicity, disability, job role, caring responsibilities), but, to preserve confidentiality, are not reported in detail here.

Participants had the option of participating either in an online survey or a semi-structured interview. The survey and interview prompt guide (see Additional files 1 and 2) were based on the provisional framework and refined through piloting with staff of the organisation. The survey was hosted on Thiscovery, and took approximately 15 to 20 min to complete. It included a mix of five-point Likert-scale and open-ended questions. The interviews were conducted with an experienced interviewer and took place online using video software. They lasted 30 to 90 min. The interviews were transcribed verbatim. All data were anonymised for identifying information about individuals or organisations.

Mixed-method analysis

The survey and interview data were initially separately analysed; integration of the data took place at the interpretation stage of analysis [65,66,67].

We analysed closed-ended survey data (i.e. five-point Likert-scale survey question responses) using descriptive statistics and diverging stacked bar charts [68] implemented in the R statistical software as outlined elsewhere [69]. Open-ended survey responses and interview data were analysed using an approach broadly based on the Framework Method [70]. This approach enabled multiple analysts to examine the data, looking for commonalities and divergences in the data by comparing views of participants. After familiarisation with the interview data, two analysts (JG and BL) independently coded the first three transcripts deductively using pre-defined codes based on the provisional ethical framework. Several authors (JWvdS, AA, CC, MM, MDW) then examined the work of JG and BL to agree on a coding framework to apply to all transcripts. The coding framework was applied to all transcripts to produce a matrix, and a summary was written for each code. We analysed the open-ended survey data similarly to the interviews, using a separate matrix and coding summaries for these data.

For data integration at the interpretation stage of analysis, the authorial team discussed patterns arising across the analyses, starting with arraying the three types of data together to facilitate systematic analysis across themes. The discussions then involved an iterative process to review the data to generate themes, including the consideration of convergence and divergence between data sources. In the interpretation stage, equal priority was given to the three different types of data. We did not undertake a formal test for theoretical saturation; instead, we used the principle of information power to confirm that we had captured a sufficient range and depth of views [71].

Development of the final framework

We sought to produce a final framework with themes based on wider ethical thinking, the literature, available guidance and professional expertise, while also taking account of the consultation findings. As part of a process of reasoned and deliberative justification [72], we engaged in multiple rounds of iterative analysis and discussion across several weeks. This analysis included interpretation of the consultation findings by the authorial team and iterative synthesis with their professional expertise and knowledge of the literature across ethics, public health, law, anthropology, social science, and healthcare improvement. To conduct ethical analysis, we reviewed existing theories, principles and frameworks in relevant areas, with attention to the potential ethical challenges relevant to COVID-19 testing programmes and infectious diseases outbreaks (e.g. [32, 54, 56, 58,59,60,61,62, 73]). We also examined applicable legal and regulatory requirements related to testing and information governance (e.g. [1, 5, 17, 29,30,31, 45,46,47,48,49,50,51,52, 74]).


In all, 61 staff at the case study organisation took part in the consultation: 50 in the survey and 11 in an interview, representing approximately 10% of the organisation’s workforce. Diversity of demographics and job roles of the participant groups largely matched those of the organisation itself (when compared to available human resource data), with the exception that casual or manual workers were largely absent.

The socio-demographic data showed that most participants (n = 48) were aged 20 to 45 years old; the others were aged 46 to 60 years (n = 7) or did not report their age (n = 6). About two-thirds of participants identified as a woman, the others identified as a man or with a different gender orientation. White ethnicity was reported by 46 participants; the others reported Asian, African or mixed ethnicities. Seventeen participants reported having caring responsibilities, and four participants reported having a disability; 48/61 had a permanent contract; 53/61 were in full-time positions. Around half had a junior professional role (n = 33), a smaller proportion an intermediate managerial role (n = 24), and a small number had a higher managerial role (n = 3).

Our analysis resulted in eight themes under which we organised the consultation data as part of the framework: 1) design and operation of the programme; 2) goals of the programme; 3) properties of the test(s); 4) enabling isolation; 5) choices regarding participation; 6) benefits, harms and their distribution, including opportunity costs; 7) privacy, confidentiality and data-sharing; 8) communication. For each theme below, we first provide the main recommendation as part of the framework (Table 1). We then provide the reasoning behind the framework’s theme, including reference to consultation data and other inputs that informed the framework’s set of recommendations. Reference to consultation data is enriched with survey graphs and illustrative data from the open-ended survey responses and interviews (Additional file 3). Reasoning and inferences for some themes drew mostly on findings from the consultation; other themes were more heavily influenced by wider ethical and legal reasoning, public health literature and guidance, and multidisciplinary professional expertise grounded in the literature.

Table 1 Ethical framework for asymptomatic COVID-19 testing of staff in workplaces

Design and operation of the programme

Main recommendation: Assess whether a testing programme is the right choice for your organisation and whether you can deliver all aspects of it. Ensure you can meet public health and legal duties

The need to deliver, coordinate and quality assure each element of public health programmes [75], including those for COVID-19 testing [6, 17, 76], are well-established principles of public health systems design. A crucial feature of testing is that, on its own, it is not enough to reduce transmission [77,78,79]; it should be seen as one component of a whole-system approach [6, 17, 76, 80, 81]. Testing programmes need to meet public health and regulatory duties (e.g. [1, 5, 17, 29,30,31, 45,46,47,48,49,50,51,52, 74]). A further key consideration is the possible duty of care an organisation may have to the entire body of staff, clients, and wider society [32,33,34, 36] to operate a testing programme.

Most survey respondents (64%) agreed and very few disagreed (10%) that workplaces have a responsibility to operate a COVID-19 asymptomatic testing programme (Fig. 1). While acknowledging the importance of an infection reduction approach that goes beyond testing, the open-ended survey responses and interviews suggested that the nature, size and resources of the organisation matter when considering a responsibility (Additional file 3).

“If a business requires staff to be physically present in the workplace than perhaps the responsibility for asymptomatic covid testing is higher.” (survey)

Fig. 1
figure 1

Survey participants’ views on responsibilities of workplaces to operate a testing programme

Interview participants expressed some concerns about whether an asymptomatic programme was the right choice for their organisation (Additional file 3). Many were of the view that the programme was a reasonable intervention for those who wanted or needed to work in the organisation’s buildings, or to ensure business continuity:

“… if it highlights a trend or something, so if a certain team were wiped out by it, then that’s big data to use and the advantage is you can shut down maybe the organisation or part of an organisation very quickly ...” (interview)

Overall, the data and our wider analysis indicate for organisations to assess whether a testing programme is the right choice for them, for example given that is not fully clear how much testing adds beyond other measures (e.g. mask wearing, social distancing) to reduce COVID-19 infections [77, 80, 82,83,84,85,86].

Goals of the testing programme

Main recommendation: Identify the programme goals, explain why they were chosen, tell staff about them, and keep them under review

Goal clarity and legitimacy of goals are important attributes of justifiable and effective public health interventions [55, 59, 60], including COVID-19 testing programmes [17, 32, 79, 87]. One clear goal of a workplace COVID-19 testing programme is to control infection by reducing transmission of the virus in the workplace [17, 47]; another goal might be focused on business continuity [47]. Public health literature and guidance on COVID-19 testing [17, 55, 59, 60, 79], together with the participants’ views, indicate that it is important to acknowledge and communicate all the goals of a workplace COVID-19 testing programme, and make it clear if there are multiple goals.

In our consultation, we found general support for the goal of the programme in reducing infection risk. A large majority of survey participants agreed that workplaces have a responsibility to operate a testing programme to protect the health of colleagues (82%), customers/clients (74%) or broad public health (72%), while very few (10%) disagreed with these proposed responsibilities (Fig. 1). Less support – though still substantial – was expressed for organisations operating a testing programme to ensure business continuity (64% agreed; 15% neutral; 16% disagreed). Virtually all (98%) of the survey participants supported the use of anonymised data from the programme for research purposes. As further illustrated in Additional file 3, some survey participants qualified their views towards organisational responsibilities and goals of a testing programme:

“Is it the responsibility of workplaces to protect broad public health? If that workplace is a hospital or a health provider, maybe, but I don’t know that it applies universally.” (survey)

Other advantages highlighted by the survey participants could be defined as secondary goals of the testing programme: they included reducing anxiety, enhancing feelings of safety, and feeling that employee health matters to the organisation (Additional file 3). Interview participants expressed similar views, supporting the idea that testing could help to reduce risks for colleagues, clients and the wider public, perhaps facilitate business continuity, and provide reassurance to those coming into the buildings (Additional file 3). In addition, interview participants expressed concerns about potential goal confusion or goal drift (Additional file 3), for example using it as a means of forcing people back to buildings when there was no current need and when it might be risky:

“I just don’t think it’s appropriate for workplaces to push people to come back before they’re vaccinated, if there isn’t an impact on their ability to do their jobs, or if there isn’t a significant impact.” (interview)

Our findings highlight the need for clarity about goals and avoidance of goal drift (substituting the original goals with different goals). They also highlight the need to keep the goals under review in line with public health literature arguing that it is pivotal to evaluate the effectiveness of public health interventions [59].

Properties of the test(s) selected for the programme

Main recommendation: Assess the available testing options, considering current evidence and guidance. Acknowledge uncertainty, take action to address risks of the chosen approach, and make sure other infection control measures are maintained

Key ethical requirements for screening programmes include test properties such as sensitivity, specificity, and positive/negative predictive value [88, 89], and the tolerability and acceptability of tests [88,89,90,91,92]. Public health principles further stipulate the need for reflection on the burdens or harms associated with an intervention, including the need for mitigating steps for potential burdens or harm [59]. For a COVID-19 asymptomatic testing programme, harms related to false negative or false positive test results need to be considered and mitigated [14, 19, 26, 93, 94]. Of relevance is reviewing the currently available evidence about which testing method to employ: for example, lateral flow testing and PCR testing have different test properties [95,96,97,98,99]. Organisations need to remain informed about factors such as test properties, convenience and speed of conducting tests and getting results, and how tolerable the test is perceived to be [100, 101]. They also need to remain aware of contemporary government guidance and policy, and be conscious that available technologies and evidence may continue to evolve [1, 53].

Concerns over the harms associated with the test itself were evident in our consultation. About two-thirds of the participants (68%) were concerned about the potential for false negative test results, and just over half (52%) were concerned about the potential for false positives (Fig. 2). Similarly, just over half of participants (52%) reported to be concerned about the possible discomfort of having a test (Fig. 2), though of note is that most of the participants at the time of the consultation had not yet undergone workplace testing.

Fig. 2
figure 2

Concerns and worries of survey participants about properties of the test and self-isolation

The open-ended survey responses and interviews also offered some insights into concerns about testing, such as it potentially being uncomfortable, uncertainty about time between testing and testing results, and stress over not carrying out the self-swabbing correctly such that it could potentially lead to a false negative result (Additional file 3). Interview participants said they understood that tests are not perfect and would still support people acting on the test results even if a minority of results were incorrect.

“… even if can't be 100 per cent accurate […] I would still be supportive of self-isolating in that situation, even if there's a chance that maybe you don't have it.” (interview)

Some mentioned that if the testing was not sufficiently accurate they would want to have a second test to confirm a result (Additional file 3). Interview participants also wondered about the choice of the type of test (Additional file 3), and suggested that the tests could be seen as a medical procedure with the need for according consent:

“… it needs to be considered a medical procedure because it is essentially. […] anything where people are consenting to a medical procedure then thought needs to be given around the reasons, and being informed about their reasons as well for having or not having it.” (interview)

The literature and our analysis suggest that organisations need to select the test they use carefully [79], and help mitigate staff concerns, uncertainties and anxieties about testing [26, 73, 102]. This can be done by considering current guidance and evidence together with effective communication strategies about uncertainties of the test chosen [103].

Enabling isolation

Main recommendation: Be clear about requirements for isolation. Make sure the right support and communication is in place to support staff and their households to isolate effectively

There has been wide discussion regarding the ethics of isolation and quarantine for communicable diseases, for example in relation to the justification of restrictive measures [104,105,106]. A recurring theme is that where a restrictive public health intervention is imposed on a population, there is a reciprocal responsibility to ensure that people are provided with the means/support to adhere to it [32, 81, 106,107,108]. For a COVID-19 testing programme, the identification of people testing positive must be combined with sufficient isolation to effectively stop or reduce virus transmission [80, 109]. The need for support for self-isolation has strongly been emphasised in discourse surrounding COVID-19 testing programmes more generally [29, 79, 81, 109,110,111]. Preliminary UK evidence suggested sub-optimal compliance with self-isolation, and also indicated that practical support and financial reimbursement could help to address this [112, 113]. In this context, a workplace operating a testing programme might be assumed to have a responsibility to ensure that adequate support is in place to facilitate self-isolation for staff who test positive.

The survey responses in Fig. 2 show that the most frequently reported worries related to self-isolation were about the impact on people’s households (60%), mental health (51%), and practical issues (46%). Although a majority of participants (81%) were not worried about possible loss of income (Fig. 2), some did raise other concerns about themselves or others. The open-ended survey responses provided some insight into the conditions under which participants would worry (or not) about self-isolation, such as being responsible for the care of others, the impact on mental health associated with isolation and assumptions around continued pay (Additional file 3):

“I’m a carer for vulnerable adults and would be worried about them receiving care that I could not give if I was isolating.” (survey)

Similar to the survey responses, interview participants expressed concerns regarding self-isolation such as household members becoming sick, household members potentially not being paid because they too would be affected, challenges for those with mental health difficulties or unsafe/unsuitable home environments, and worries and concerns about caring responsibilities (Additional file 3). Suggestions for how to support other household members and reduce the negative impacts of self-isolation included: granting leave that is not counted as sick leave or annual leave; offering payments if other household members would lose income; offering testing for other household members; and being flexible around specific individual circumstances.

“… [provide] more generous payments or financial support to colleagues that potentially would be quite affected by that.” (interview)

The consultation and available literature highlight the importance of adequate and tailored support: not just in terms of providing financial support for the staff member, but also thinking about the other members of the individual’s household.

Choices about programme participation

Main recommendation: Carefully think about how far staff participation in testing should be mandatory or voluntary. Consider ethical issues, relevant laws, and the special nature of the employee/employer relationship

An important consideration in the public health ethics literature is the extent to which the interests of the wider public might potentially compete with the interests of individuals and impact on individuals’ autonomy [32, 55, 59]. While the tension between respecting autonomy and protecting the health of the population should not be oversimplified [114, 115], it is of significance in the context of those public health measures that are put to use to control infectious disease such as COVID-19 (e.g. case isolation, household quarantine, contact tracing) [116]. The Nuffield Council of Bioethics “Intervention Ladder” [117] provides a practical framework to highlight that more restrictive and choice-limiting measures need greater justification. Specific to workplaces is that mandatory vs. voluntary programme models must be considered in the context of existing employee-employer relationships, which typically involves some degree of power imbalance between employers and employees [118].

The complexities of negotiating ethical issues around choice about participation in a testing programme were also highlighted by our consultation. For instance, the majority (74%) of survey participants agreed that asymptomatic workplace COVID-19 testing should be mandatory; similarly, 64% disagreed that it should be entirely up to the choice of individuals (Fig. 3). At the same time, around a third (30%) agreed it would be acceptable to sanction colleagues not taking part, and around a fifth (22%) agreed that it would be acceptable to suspend colleagues without pay. Some interview participants for example suggested that mandating testing might be justified to mitigate insufficient participation, but individual choice was nonetheless recognised as a key consideration.

“Covid’s a collective problem […] I have absolutely no problem with them being mandatory, and if anything, I think it’s good, because you know the expectation is the same across the board.” (interview)

“I’m a bit torn about this issue, because I do think it’s not like, morally, is it right to make someone be involved with an exercise that they don’t want to be.” (interview)

Fig. 3
figure 3

Survey participants’ views on choices, encouragement and coercion towards testing

There were also divergent views (see Additional file 3) on those actions that would not make testing mandatory, but might nonetheless create a sense of compulsion (e.g. making people feel bad about not taking part, restricting their duties, temporarily stopping people’s pay by having them go on unpaid leave if they decline to take part). Some suggested that “effectively compulsory” interventions were particularly problematic because they implied choice but then penalised the ‘incorrect’ one, though participants also acknowledged it might be useful as a means to an end in encouraging people to take part in testing.

Our consultation – and public health models such as the Nuffield Intervention Ladder [117] – suggest that mandating participation could be considered in specific circumstances. Such a policy would need to be proportionate to the level of risk and benefit, achieve goals not achievable in a less intrusive way [54, 108], and consider the distinctive nature of workplaces including employer/employee/client relationships [32, 102].

Benefits, harms and their distribution, including opportunity costs

Main recommendation: Assess possible benefits and risks, harms, costs, and things that you can’t do because you are doing this programme. Think about equity and whether some staff groups might bear more burdens than others

The legitimacy of a public health intervention relies on a reasonable balance between benefits and burdens or individual/societal costs [56]. An intervention associated with larger burdens requires higher levels of effectiveness to be considered legitimate [54, 59]. For example, as emphasised by a SAGE statement, asymptomatic testing programmes need to provide benefits beyond symptomatic testing to be considered worthwhile or justifiable [17]. The benefits and drawbacks of testing programmes [79] need to be considered explicitly, as do the obligations to ensure that legal requirements relating to equalities are upheld [51, 52], and that certain groups do not disproportionately suffer the negative impacts of such public health interventions [32, 51].

The vast majority of survey participants (90%) viewed a workplace asymptomatic testing programme as likely to be helpful or extremely helpful. Similarly, only 4% of participants viewed testing as unacceptable even if it would be highly effective in reducing virus transmission. For the vast majority (96%), workplace testing was deemed acceptable when it would have a small effect (32%) or be at least moderately (38%) or highly (26%) effective for reducing virus transmission. In open-ended survey responses and interviews, effectiveness, costs and resource use were mentioned as criteria to justify a workplace asymptomatic testing programme (Additional file 3).

“I don’t see any advantage really of one or two people being picked up, to me that doesn’t really … it’s pointless.” (interview)

The majority of survey participants expressed concern about negative impacts on colleagues who are worried about money or losing wages (58%) or those on short-term or temporary contracts (55%). The open-ended survey data and interviews offered further insights into these concerns (Additional file 3), including their views on potential impacts on those on lower wages or with lesser job security.

“… maybe people who are not permanent staff […] For those individuals to know how they’re going to be supported and whether or not they’re going to lose their jobs; if someone else is going to replace them who doesn’t have an issue with mandatory testing.” (interview)

Our consultation data and wider analysis suggest that organisations need to assess any possible benefits, costs and drawbacks of a testing programme, and to ensure that equity and fairness are considered carefully in any such assessment [79].

Privacy, confidentiality and data protection

Main recommendation: Ensure the programme meets data protection and confidentiality requirements. Be clear who will be informed about test results and why

The measures put in place to control COVID-19 (e.g. contract tracing) may require the collection, sharing, and retention of information, which raises questions of privacy and confidentiality [32, 59]. Workplaces must process the data lawfully, securely, transparently and fairly, in accordance with legal requirements governing data protection [30, 31]. Further, organisations that run testing programmes can have obligations for notifying public health agencies about positive results [4, 5, 31, 74].

In our consultation, survey participants were very supportive of information about positive cases being shared as long as the individual who had tested positive was not identified: 96% indicated that everyone who has been in close contact with that individual should be told. In addition, there was support for use of anonymised data for scientific research: 90% of participants strongly supported this.

Confidentiality and privacy were highlighted as important by interview participants, with strong support for only a restricted number of individuals being informed of an individual’s positive result on a ‘need to know’ basis. Participants were in favour of only disclosing the name of a positive-testing employee with those who directly need the information (e.g. line manager, human resources team), but emphasised the importance of consent where possible and appropriate.

“So if that individual has had close contact with other people, then their manager should be aware of what’s happened, but the immediate question should be asked, we need to tell other people in the team because they may need to isolate, are you happy with this?” (interview)

At the same time, the risk of deductive disclosure was recognised and was a source of some concern; it was acknowledged that it would often be easy to guess who had tested positive for COVID-19 (Additional file 3).

The literature and our consultation suggest the need for a proportional response: private health information (including the name of someone who tested positive) should only be shared if there is no other way to protect other colleagues, clients and public health [32, 56].


Main recommendation: Make clear communication with staff a priority, and put feedback and response mechanisms in place

Effective, transparent and open communication is regarded as key for successful public health interventions [56, 108, 119]. Despite emphasis of SAGE that COVID-19 testing programmes require communication built on trust, shared goals and perceived fairness [17], concerns have been expressed that this need has not always been met [14].

All survey participants (100%) agreed that high quality, clear and honest communication was important to building trust in a workplace asymptomatic testing programme. In open-ended survey responses and interviews, participants referred to a variety of additional information that should be communicated to participants, such as how long the programme would be in operation, transparency about results, and how contact tracing would work (Additional file 3). Clear information about how to raise concerns or make enquiries was seen as important for building trust in the testing programme.

High quality communication was seen by participants as particularly important to trustworthiness and legitimacy – for example through clear explanation of the purpose of the testing and providing insights into the reasoning behind the decision to start a testing programme. Interview participants expressed how trust can be undermined if employees are not sufficiently consulted in the design and decisions about the programme.

“I think just transparency in everything, […] because I think I would not trust it if I felt like my views were not reflected at all and if it was just a top-down decision and you’re like it doesn’t matter what you think because this is what we’ve decided.” (interview)

As our consultation and public health literature shows, high-quality communication and engagement related to COVID-19 workplace asymptomatic testing programmes is needed to build trust, address employees’ concerns and keep relevant stakeholders informed.


The COVID-19 pandemic has highlighted the need for ethical guidance for public health interventions, including those affecting employees [15, 43, 44]. This is particularly true for workplace testing programmes, which raise complex ethical issues. Our mixed-method consultation helped to articulate the values that may inform employees’ orientations towards testing programmes. It also helped to reveal some of the tensions and dilemmas that may need to be addressed in practice. Though there was strong staff support for the idea of an asymptomatic COVID-19 testing programme, it was not uncomplicated. Participants expressed concerns about the effects of the programme on the nature of the employer-employee relationship, the goals and scope of the programme, whether the programme would be mandatory, how support for isolation would be organised (in particular for those in less financially secure positions), and regarding privacy, data security and communication. The findings of the consultation were important in informing the ethical framework we devised to guide decision-making for COVID-19 asymptomatic testing programmes in the workplace (Table 1).

A prominent feature of our framework is its advocacy for a whole-system approach to workplace testing programmes [676, 81, 120]. If organisations choose to operate testing programmes for their staff, they should recognise that they may have ethical obligations to support isolation financially and in other ways [29, 32, 113]. They should also ensure they have reliable systems for prompt notification of public health bodies of positive cases if required [4, 5, 30, 47, 74], and address their legal and ethical responsibilities for handling of data [30, 121].

A key ethical consideration – identified by participants in this consultation and in the wider public health ethics literature [59, 61, 117, 122] – is whether participation in testing programmes in workplaces should be mandatory or voluntary. One relevant consideration is the potential of testing to protect others, such as colleagues and clients of the organisation [32]. Mandatory testing for drugs and alcohol, for example, is sometimes justified on the basis that employers have legal responsibilities for health and safety risks (particularly those affecting the public) [37, 38, 123]. In the case of asymptomatic COVID-19 testing, the extent to which programmes are effective in protecting others is currently not fully clear, depending on some combination of current transmission rates, properties of the test used, and participation rates [77, 80, 82,83,84,85,86]. These uncertainties complicate arguments in favour of mandates.

Further uncertainty arises because, reflecting the structural dimensions of different models, a voluntary approach might resolve some issues – for example those related to perceived coercion – but potentially create others, such as unfairness. For example, some occupational groups may be much more able to opt out of testing than others: those in more elite positions or more secure employment may be much better placed to choose, for example because they are better able to choose to work from home. A programme that lacks full participation might also distribute risks unfairly. It is possible that having a testing programme in place might be particularly protective of lower-status individuals or those with direct client-facing roles. Having a programme where some employees could opt out might increase the risks to these individuals.

Organisations operating mandatory schemes should be aware of their responsibilities to ensure fairness and a climate of trust. Employee-employer relationships typically involve some degree of power imbalance, such that even formally non-mandated programmes can be experienced as coercive. This may arise because officially-communicated expectations, use of overt positive incentives (e.g. small rewards) or negative incentives (e.g. penalties). More subtle influences might arise through more covert pressures, such as peer or manager expectations [124]. Creating opportunities to understand the programme as a collective good rather than one imposed by fiat on a reluctant workforce [125] may therefore be an especially important task. Studies of other interventions have also suggested that a focus on the quality of the work environment can help to reduce concerns about autonomy and privacy [126, 127].

A linked issue is accountability for the reasonableness of the goals and scope of the programme [55, 59, 60]. Some of the concerns raised by participants related to whether the goals and operation of the testing programme were reasonable. Organisations should show their good motives and intent and demonstrate honesty, integrity, and commitment to learning. They should reflect regularly on the goals of workplace testing programmes, review whether the purposes being served by the programme are still valid and relevant to need, and ensure that goal drift has not occurred. Also clear is that any alterations to goals should be subject to consultation and communicated clearly [29], and the programme should not be subverted to serve other goals, such as using data from the programme as a means of surveillance of productivity or workplace attendance [30].

One way to approach the challenges is to commit to trustworthiness. Having trustworthy institutions will enable much to go right, enabling employees to have faith that efforts in relation to the programme are well-motivated and have their interests at heart. Thus, for example, more participants in our project saw keeping people safe as a legitimate goal for the programme than ensuring business continuity. The need for trustworthiness is one reason organisations should be clear and open in the goals of the programme and how far they can be achieved. Organisations should seek to ensure that programme goals can be recognised as legitimate, even if not everyone agrees with them. One key way to do this is through participatory governance. Including employees in the design and implementation may help to reduce possible barriers in participation, for example by ensuring a programme is meaningful to all employees [34, 128], and that preferences of employees and employers for programme components are accounted for [129]. This aligns with another key insight from the consultation: a trustworthy testing programme requires clear, transparent and accessible communication from leaders over all aspects of testing.

Strengths and limitations

Our approach, using consultation findings, literature review, available international and national guidance, and expertise from a multidisciplinary team was a strength of this study. It offered multiple perspectives on an important problem and informed the generation of a comprehensive framework, demonstrating the strength of using participatory approaches with involvement from different stakeholders to engage with a complex (ethical) issue [54,55,56,57]. It was also a valuable approach in a parallel project focusing on asymptomatic COVID-19 testing for students in higher education institutions [23], which similarly combined stakeholder consultation with a process of reasoned and deliberative justification [72].

The study’s consultative, participatory approach is likely to help in securing legitimacy for its findings [72], but it does have limitations. Use of convenience and purposive sampling resulted in the recruitment of a diverse group of participants, but it is possible that views gathered were limited by only including staff sufficiently interested to express views. The work was done in one organisation, and we have not established the external validity of our findings; future work could focus on different settings, such as those that include people in less secure job positions – for example, those in casual employment, zero-hours contracts, or sub-contractors. The consultation was conducted at one moment during the fast-moving pandemic crisis, and views may change over time. When science and policy are moving this quickly, the principles and practices of such programmes need to be kept under review.


Workplace testing programmes for asymptomatic COVID-19 infection are not free of ethical challenges and dilemmas. This study reports views of a consultation in a case study organisation that helped to inform practical and actionable recommendations for how a COVID-19 workplace asymptomatic testing programme can be set up in an ethical way (Table 1). Grounded in wider ethical thinking, public health literature and guidance, and multidisciplinary professional expertise, the framework is intended to support employers in structuring their thinking about COVID-19 testing programmes in key areas ranging from design and operation of the programme through to choices about participation. The broad principles and recommendations of the resulting framework may be applicable to various workplaces, but this requires further validation.

Availability of data and materials

Owing to the conditions of the ethical approval for the project, the raw data (transcripts and survey responses) are not available for deposit. This is due to the sensitive nature of the responses, including their possible political nature, and concerns that it would be difficult to completely de-identify participants (who often gave extensive and specific details about their organisation and own circumstances in answering questions).

Any requests for access to or use of the data should be made to Access to fully anonymised data for suitable purposes may be granted to bona fide researchers under a data sharing agreement, subject to approval from relevant ethics committee/s.


  1. Centers for Disease Control and Prevention (CDC). Interim guidance for SARS-CoV-2 testing in non-healthcare workplaces. 2021. Available from:

    Google Scholar 

  2. UK Government. Get coronavirus tests for your employees. 2021. Available at:

    Google Scholar 

  3. Germany Trade & Invest (GTAI). National Corona Regulations. 2022.

    Google Scholar 

  4. Government of Canada. COVID-19 rapid testing and screening in workplaces: what employers should know. 2022. Available at:

    Google Scholar 

  5. Safe Work Australia. COVID-19 information for workplaces: rapid antigen testing. 2022. Available at:

    Google Scholar 

  6. Raffle AE, Pollock AM, Harding-Edgar L. Covid-19 mass testing programmes. BMJ. 2020;370:m3262.

  7. Rough E. Coronavirus: testing for covid-19. House of commons briefing paper. 2020. Available at:

    Google Scholar 

  8. Buitrago-Garcia D, Egli-Gany D, Counotte MJ, Hossmann S, Imeri H, Ipekci MA, et al. Asymptomatic SARS-CoV-2 infections: a living systematic review and meta-analysis. medRxiv. 2020:2020.04.25.20079103.

  9. World Health Organization. WHO Director-General’s opening remarks at the media briefing on COVID-19 - 16 March 2020. 2020.

    Google Scholar 

  10. Johnson-León M, Caplan AL, Kenny L, Buchan I, Fesi L, Olhava P, et al. Executive summary: It’s wrong not to test: The case for universal, frequent rapid COVID-19 testing. EClinicalMedicine. 2021;33:100759.

    PubMed Central  Article  PubMed  Google Scholar 

  11. Rosella LC, Agrawal A, Gans J, Goldfarb A, Sennik S, Stein J. Large-scale implementation of rapid antigen testing system for COVID-19 in workplaces. Sci Adv. 2022;8(8):eabm3608.

    CAS  PubMed Central  Article  PubMed  Google Scholar 

  12. Zhou Y, Jiang H, Wang Q, Yang M, Chen Y, Jiang Q. Use of contact tracing, isolation, and mass testing to control transmission of covid-19 in China. BMJ. 2021;375:n2330.

    PubMed Central  Article  PubMed  Google Scholar 

  13. Raffle AE. Screening the healthy population for covid-19 is of unknown value, but is being introduced nationwide. BMJ Opinion. 2020;371:m4438.

    Google Scholar 

  14. Mahase E. Covid-19: People are not being warned about pitfalls of mass testing. BMJ. 2021;372:n238.

    Article  PubMed  Google Scholar 

  15. Cox C, Dixon-Woods M. Need for ethical framework to guide mass testing for asymptomatic covid-19. BMJ. 2020;371:m4567.

    Article  PubMed  Google Scholar 

  16. Kalokairinou L, Zettler PJ, Nagappan A, Kyweluk MA, Wexler A. The promise of direct-to-consumer COVID-19 testing: ethical and regulatory issues. J Law Biosci. 2020;7(1):lsaa069.

    PubMed Central  Article  PubMed  Google Scholar 

  17. SAGE Multidisciplinary Task and Finish Group on Mass Testing (TFMS). Consensus Statement for the Scientific Advisory Group for Emergencies (SAGE). 2020.

    Google Scholar 

  18. Studdert DM, Hall MA. Disease Control, civil liberties, and mass testing — calibrating restrictions during the Covid-19 pandemic. N Engl J Med. 2020;383(2):102–4.

    CAS  Article  PubMed  Google Scholar 

  19. Wise J. Covid-19: Government uses lateral flow tests to keep children in schools against regulator’s advice. BMJ. 2021;372:n148.

    Article  PubMed  Google Scholar 

  20. Pollock AM. Testing, testing…for SARS-CoV-2 in asymptomatic people. The BMJ Opinion. 2021. Available at:

  21. Iacobucci G. Covid-19: Mass testing at UK universities is haphazard and unscientific, finds BMJ investigation. BMJ. 2021;372:n848.

    Article  PubMed  Google Scholar 

  22. Dennis A, Robin C, Carter H. The social media response to twice-weekly mass asymptomatic testing in England. BMC Public Health. 2022;22(1):1–12.

    Article  Google Scholar 

  23. Cox C, Ansari A, McLaughlin M, Van Der Scheer J, Liddell K, Burt J, et al. Developing an ethical framework for asymptomatic COVID-19 testing programmes in higher education institutions. Wellcome Open Research. 2021;6:101.

    Article  Google Scholar 

  24. Iacobucci G. Covid-19: Government rolls out twice weekly rapid testing to all in England. BMJ. 2021;373:n902.

    Article  PubMed  Google Scholar 

  25. Barry G, McCarney C, Farrelly M, Breathnach R, Mooney C, More SJ. Rapid antigen testing for SARS-CoV-2 infection in a university setting in Ireland: learning from a 6-week pilot study. Public Health Pract. 2022;3:100255.

  26. French CE, Denford S, Brooks-Pollock E, Wehling H, Hickman M. Low uptake of COVID-19 lateral flow testing among university students: a mixed methods evaluation. Public Health Pract. 2022;204:54–62.

  27. Li Z, Liu F, Cui J, Peng Z, Chang Z, Lai S, et al. Comprehensive large-scale nucleic acid–testing strategies support China’s sustained containment of COVID-19. Nat Med. 2021;27(5):740–2.

    CAS  Article  PubMed  Google Scholar 

  28. Logan M, Hirst J, Fanshawe T, Mwandigha L, Wanat M, Vicary C, Hobbs R. Feasibility and Acceptability of community COVID-19 Testing Strategies (FACTS) in a University setting. Open Forum Infect Dis. 2021;8(12):ofab495

  29. Advisory Conciliation and Arbitration Service (ACAS). Working safely during coronavirus. 2021. Available at:

    Google Scholar 

  30. Information Commissioner’s Office (ICO). Data protection and coronavirus – advice for organisations. 2021. Available at:

    Google Scholar 

  31. UK Government. Coronavirus (COVID-19): testing guidance for employers: guidance. Annex B: employer’s legal obligations. 2021. Available at:

    Google Scholar 

  32. Thornton M. Pandemics at work: convergence of epidemiology and ethics. Bus Ethics Q. 2022;32(1):41–74.

  33. Kuhn E, Müller S, Heidbrink L, Buyx A. The ethics of workplace health promotion. Public Health Ethics. 2020;13(3):234–46.

    Article  Google Scholar 

  34. Robroek SJW, van de Vathorst S, Hilhorst MT, Burdorf A. Moral issues in workplace health promotion. Int Arch Occup Environ Health. 2012;85(3):327–31.

    Article  PubMed  Google Scholar 

  35. Sorrell J. Ethics: employer-sponsored wellness programs for nurses: the ethics of carrots and sticks. Online J Issues Nurs. 2015;20(1). Available at:

  36. Van Berkel J, Meershoek A, Janssens RM, Boot CR, Proper KI, Van Der Beek AJ. Ethical considerations of worksite health promotion: an exploration of stakeholders’ views. BMC Public Health. 2014;14(1):458.

    PubMed Central  Article  PubMed  Google Scholar 

  37. Cashman CM, Ruotsalainen JH, Greiner BA, Beirne PV, Verbeek JH. Alcohol and drug screening of occupational drivers for preventing injury. Cochrane Database Syst Rev. 2009;2:CD006566.

    Google Scholar 

  38. Gibson TM, Loza-Herrero MA, Yepes JF, Kim-Berman H, Dilbone DA, Perez H. Mandatory drug testing of dental students: to test or not to test. J Dent Educ. 2019;83(8):924.

    Article  PubMed  Google Scholar 

  39. Christie T. A discussion of the ethical implications of random drug testing in the workplace. Healthc Manage Forum. 2015;28(4):172–4.

    Article  PubMed  Google Scholar 

  40. Schmid P, Rauber D, Betsch C, Lidolt G, Denker M-L. Barriers of influenza vaccination intention and behavior - a systematic review of influenza vaccine hesitancy, 2005–2016. PLoS ONE. 2017;12(1):e0170550.

    PubMed Central  Article  CAS  PubMed  Google Scholar 

  41. Ishizaki A, Bouscaillou J, Luhmann N, Liu S, Chua R, Walsh N, et al. Survey of programmatic experiences and challenges in delivery of hepatitis B and C testing in low- and middle-income countries. BMC Infect Dis. 2017;17(S1):696.

    PubMed Central  Article  PubMed  Google Scholar 

  42. World Health Organization. Guidelines on hepatitis B and C testing. 2017. Available at:

    Google Scholar 

  43. Fritz Z, Huxtable R, Ives J, Paton A, Slowther AM, Wilkinson D. Ethical road map through the covid-19 pandemic. BMJ. 2020;369:m2033.

  44. Dixon-Woods M. Testing times: an ethical framework for swab testing of NHS workers for covid-19. The BMJ Opinion. 2020. Available at:

  45. SAGE Multidisciplinary Task and Finish Group on Mass Testing. Behavioural considerations. 2020.

    Google Scholar 

  46. FDA. Pooled sample testing and screening testing for COVID-19. 2020. Available at:

    Google Scholar 

  47. UK government. Coronavirus (COVID-19): testing guidance for employers. 2021. Available at:

    Google Scholar 

  48. European Commission. In vitro diagnostic medical devices. Annex 1 of the EU Directive 98/79/EC. 2020.

    Google Scholar 

  49. FDA. Overview of IVD regulation. 2019.

    Google Scholar 

  50. UK Government. Guidance on the regulation of In vitro diagnostic medical devices in Great Britain. 2021. Available at:

    Google Scholar 

  51. Health and Safety Executive (HSE). Health and safety for disabled people and their employers: the law. 2015. Available at:

    Google Scholar 

  52. UK Equality and Human Rights Commission. Coronavirus (COVID-19) and the equality duty. 2021. Available at:

    Google Scholar 

  53. Rutter H, Wolpert M, Greenhalgh T. Managing uncertainty in the covid-19 era. BMJ. 2020;370:m3349.

    Article  PubMed  Google Scholar 

  54. Childress JF, Faden RR, Gaare RD, Gostin LO, Kahn J, Bonnie RJ, et al. Public health ethics: mapping the terrain. J Law Med Ethics. 2002;30(2):170–8.

    Article  PubMed  Google Scholar 

  55. Marckmann G, Schmidt H, Sofaer N, Strech D. Putting public health ethics into practice: a systematic framework. Front Public Health. 2015;3:23.

    PubMed Central  Article  PubMed  Google Scholar 

  56. Thompson AK, Faith K, Gibson JL, Upshur RE. Pandemic influenza preparedness: an ethical framework to guide decision-making. BMC Med Ethics. 2006;7:E12.

    Article  PubMed  Google Scholar 

  57. Dunn M, Sheehan M, Hope T, Parker M. Toward methodological innovation in empirical ethics research. Cambridge Q Healthcare Ethics. 2012;21:466.

    Article  Google Scholar 

  58. THIS Institute. Testing times: an ethical framework and practical recommendations for COVID-19 testing for NHS workers. 2020.

    Google Scholar 

  59. Kass NE. An ethics framework for public health. Am J Public Health. 2001;91(11):1776–82.

    CAS  PubMed Central  Article  PubMed  Google Scholar 

  60. Lee LM. Public health ethics theory: review and path to convergence. J Law Med Ethics. 2012;40(1):85–98.

    Article  PubMed  Google Scholar 

  61. World Health Organization. Ethical considerations in developing a public health response to pandemic influenza. 2007. Available at:

    Google Scholar 

  62. World Health Organization. Guidance for managing ethical issues in infectious disease outbreaks. 2016. Available at:

    Google Scholar 

  63. Palinkas LA, Horwitz SM, Green CA, Wisdom JP, Duan N, Hoagwood K. Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Adm Policy Men Health. 2015;42(5):533–44.

    Article  Google Scholar 

  64. Fricker RD. Sampling methods for web and e-mail surveys. The SAGE handbook of online research methods. 2008. p. 195–216.

    Book  Google Scholar 

  65. Creswell JW, Plano Clark VL, Gutmann ML, Hanson WE. Advanced mixed methods research designs. In: Tashakkori A, Teddlie C, editors. Handbook of mixed methods in social and behavioral research. California: SAGE Publications; 2013.

  66. Fetters MD, Curry LA, Creswell JW. Achieving integration in mixed methods designs-principles and practices. Health Serv Res. 2013;48(6pt2):2134–56.

    PubMed Central  Article  PubMed  Google Scholar 

  67. Moseholm E, Fetters MD. Conceptual models to guide integration during analysis in convergent mixed methods studies. Methodological Innovations. 2017;10(2):205979911770311.

    Article  Google Scholar 

  68. Heiberger RM, Robbins NB. Design of diverging stacked bar charts for Likert scales and other applications. J Stat Softw. 2014;57(5):1–32.

    Article  Google Scholar 

  69. R Core Team. A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2017. URL:

    Google Scholar 

  70. Galel N, Heath G, Cameron E, Rashid S, Redwood S. Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Med Res Methodol. 2013;13:117.

    Article  Google Scholar 

  71. Malterud K, Siersma VD, Guassora AD. Sample size in qualitative interview studies. Qual Health Res. 2016;26(13):1753–60.

    Article  PubMed  Google Scholar 

  72. Bensimon CM, Upshur RE. Evidence and effectiveness in decisionmaking for quarantine. Am J Public Health. 2007;97(Supplement_1):S44–8.

    PubMed Central  Article  PubMed  Google Scholar 

  73. Martindale AM, Pilbeam C, Mableson H, Tonkin-Crine S, Atkinson P, Borek A, Sheard S. Perspectives on COVID-19 testing policies and practices: a qualitative study with scientific advisors and NHS health care workers in England. BMC Public Health. 2021;21(1):1–8.

    Article  CAS  Google Scholar 

  74. UK government. NHS test and trace in the workplace: guidance. 2021. Available at:

    Google Scholar 

  75. Raffle AE, Gray JM. Screening: evidence and practice: Oxford University Press, USA; 2019.

  76. Araz OM, Ramirez-Nafarrate A, Jehn M, Wilson FA. The importance of widespread testing for COVID-19 pandemic: systems thinking for drive-through testing sites. Health Systems. 2020;9(2):119–23.

    PubMed Central  Article  PubMed  Google Scholar 

  77. Kucharski AJ, Klepac P, Conlan AJ, Kissler SM, Tang ML, Fry H, et al. Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study. Lancet Infect Dis. 2020;20(10):1151–60.

    CAS  PubMed Central  Article  PubMed  Google Scholar 

  78. MacIntyre CR. Case isolation, contact tracing, and physical distancing are pillars of COVID-19 pandemic control, not optional choices. Lancet Infect Dis. 2020;20(10):1105–6.

    CAS  PubMed Central  Article  PubMed  Google Scholar 

  79. HSE Workplace Health Expert Committee (WHEC). SARS-CoV-2: testing and the workplace: rapid review to 16th February 2021. 2021. Available at:

    Google Scholar 

  80. Pavelka M, Van-Zandvoort K, Abbott S, Sherratt K, Majdan M, Jarčuška P, et al. The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia. Science. 2021;372(6542):635–41.

    CAS  PubMed Central  Article  PubMed  Google Scholar 

  81. Rajan S, McKee M, Hernández-Quevedo C, Karanikolos M, Richardson E, Webb E, Cylus, J. What have European countries done to prevent the spread of COVID-19? Lessons from the COVID-19 health system response monitor. Health Policy. 2022;126(5):355–61.

  82. Oran DP, Topol EJ. Prevalence of asymptomatic SARS-CoV-2 infection: a narrative review. Ann Intern Med. 2020;173(5):362–7.

    Article  PubMed  Google Scholar 

  83. Schuetz AN, Hemarajata P, Mehta N, Campbell S, Mitchell S, Palavecino E, et al. When should asymptomatic persons be tested for COVID-19? J Clin Microbiol. 2021;59(1):1–7.

    Google Scholar 

  84. Bosetti P, Kiem CT, Yazdanpanah Y, Fontanet A, Lina B, Colizza V, et al. Impact of mass testing during an epidemic rebound of SARS-CoV-2: a modelling study using the example of France. Eurosurveillance. 2021;26(1):2001978.

    PubMed Central  Article  Google Scholar 

  85. Hernandez X, Valentinotti S. On an optimal testing strategy for workplace settings operating during the COVID-19 pandemic. PloS One. 2022;17(3):e0264060.

    CAS  PubMed Central  Article  PubMed  Google Scholar 

  86. Wise J. Covid-19: concerns persist about purpose, ethics, and effect of rapid testing in Liverpool. BMJ. 2020;371:m4690.

    Article  PubMed  Google Scholar 

  87. Skittrall JP, Fortune MD, Jalal H, Zhang H, Enoch DA, Brown NM, et al. Diagnostic tool or screening programme? Asymptomatic testing for SARS-CoV-2 needs clear goals and protocols. Lancet Reg Health Eur. 2021;1:100002.

    Article  PubMed  Google Scholar 

  88. Sturdy S, Miller F, Hogarth S, Armstrong N, Chakraborty P, Cressman C, et al. Half a Century of Wilson & Jungner: reflections on the Governance of Population Screening. Wellcome Open Res. 2020;5:158.

    PubMed Central  Article  PubMed  Google Scholar 

  89. Wilson JMG, Jungner G, Organization WH. Principles and practice of screening for disease. 1968.

    Google Scholar 

  90. Waller J, Bartoszek M, Marlow L, Wardle J. Barriers to cervical cancer screening attendance in England: a population-based survey. J Med Screen. 2009;16(4):199–204.

    Article  PubMed  Google Scholar 

  91. Figueroa C, Johnson C, Verster A, Baggaley R. Attitudes and acceptability on HIV self-testing among key populations: a literature review. AIDS Behav. 2015;19(11):1949–65.

    PubMed Central  Article  PubMed  Google Scholar 

  92. Krause J, Subklew-Sehume F, Kenyon C, Colebunders R. Acceptability of HIV self-testing: a systematic literature review. BMC Public Health. 2013;13(1):735.

    PubMed Central  Article  PubMed  Google Scholar 

  93. Mahase E. Covid-19: Mass testing is inaccurate and gives false sense of security, minister admits. BMJ. 2020;371:m4916.

    Article  Google Scholar 

  94. Wise J. Covid-19: Lateral flow tests miss over half of cases, Liverpool pilot data show. BMJ. 2020;371:m4848.

    Article  PubMed  Google Scholar 

  95. Gray N, Calleja D, Wimbush A, Miralles-Dolz E, Gray A, De Angelis M, et al. Is “no test is better than a bad test”? Impact of diagnostic uncertainty in mass testing on the spread of COVID-19. PLoS ONE. 2020;15(10):e0240775.

    CAS  PubMed Central  Article  PubMed  Google Scholar 

  96. Santiago I. Trends and innovations in biosensors for COVID-19 mass testing. ChemBioChem. 2020;21(20):2880.

    CAS  PubMed Central  Article  PubMed  Google Scholar 

  97. Sunjaya AF, Sunjaya AP. Pooled testing for expanding COVID-19 mass surveillance. Disaster Med Public Health Prep. 2020;14(3):e42–3.

    Article  CAS  PubMed  Google Scholar 

  98. Dinnes J, Deeks JJ, Adriano A, Berhane S, Davenport C, Dittrich S, et al. Rapid, point-of-care antigen and molecular-based tests for diagnosis of SARS-CoV-2 infection. Cochrane Database Syst Rev. 2020;8(8):Cd013705.

    PubMed  Google Scholar 

  99. Tran NK, May L. Evolution of COVID-19 testing and the role of rapid antigen testing in a molecular-focused world. Arch Pathol Lab Med. 2022;146(4):404.

    CAS  Article  PubMed  Google Scholar 

  100. Crozier A, Rajan S, Buchan I, McKee M. Put to the test: use of rapid testing technologies for covid-19. BMJ. 2021;372.

    Article  PubMed  Google Scholar 

  101. Vandenberg O, Martiny D, Rochas O, van Belkum A, Kozlakidis Z. Considerations for diagnostic COVID-19 tests. Nat Rev Microbiol. 2021;19(3):171–83.

  102. Smith L, Potts HW, Amlot R, Fear N, Michie S, Rubin, J. Who is engaging with lateral flow testing for COVID-19 in the UK? The COVID-19 Rapid Survey of Adherence to Interventions and Responses (CORSAIR) study. BMJ Open. 2022;12:e058060.

  103. Martela F, Hankonen N, Ryan RM, Vansteenkiste M. Motivating voluntary compliance to behavioural restrictions: Self-determination theory–based checklist of principles for COVID-19 and other emergency communications. Eur Rev Soc Psychol. 2021;32(2):305–47.

  104. Harris J, Holm S. Is there a moral obligation not to infect others? BMJ. 1995;311(7014):1215–7.

    CAS  PubMed Central  Article  PubMed  Google Scholar 

  105. Barbera J, Macintyre A, Gostin L, Inglesby T, O’Toole T, DeAtley C, et al. Large-scale quarantine following biological terrorism in the United States: scientific examination, logistic and legal limits, and possible consequences. JAMA. 2001;286(21):2711–7.

    CAS  Article  PubMed  Google Scholar 

  106. Giubilini A, Douglas T, Maslen H, Savulescu J. Quarantine, isolation and the duty of easy rescue in public health. Dev World Bioeth. 2018;18(2):182–9.

    Article  PubMed  Google Scholar 

  107. Upshur R. The ethics of quarantine. AMA J Ethics. 2003;5(11):393–5.

    Google Scholar 

  108. Upshur RE. Principles for the justification of public health intervention. Can J Public Health. 2002;93(2):101–3.

    CAS  PubMed Central  Article  PubMed  Google Scholar 

  109. Patel J, Fernandes G, Sridhar D. How can we improve self-isolation and quarantine for covid-19? BMJ. 2021;372: n625.

    Article  PubMed  Google Scholar 

  110. Cevik M, Baral SD, Crozier A, Cassell JA. Support for self-isolation is critical in covid-19 response. BMJ. 2021;372:n224.

    Article  PubMed  Google Scholar 

  111. Stokel-Walker C. Covid-19: why test and trace will fail without support for self-isolation. BMJ. 2021;372:n327.

    Article  PubMed  Google Scholar 

  112. Smith LE, Potts HWW, Amlôt R, Fear NT, Michie S, Rubin GJ. Adherence to the test, trace, and isolate system in the UK: results from 37 nationally representative surveys. BMJ. 2021;372:n608.

    PubMed Central  Article  PubMed  Google Scholar 

  113. Limb M. Covid-19: Scientists and medics warn that it is too soon to lift all restrictions in England. BMJ Open. 2022;376:o469.

  114. Owens J, Cribb A. Beyond choice and individualism: understanding autonomy for public health ethics. Public Health Ethics. 2013;6(3):262–71.

    Article  Google Scholar 

  115. Zimmerman FJ. Public health autonomy: a critical reappraisal. Hastings Cent Rep. 2017;47(6):38–45.

    Article  PubMed  Google Scholar 

  116. Smith CB, Battin MP, Jacobson JA, Francis LP, Botkin JR, Asplund EP, et al. Are there characteristics of infectious diseases that raise special ethical issues? 1. Dev World Bioeth. 2004;4(1):1–16.

    Article  PubMed  Google Scholar 

  117. Nuffield Council on Bioethics. Public health: ethical issues. 2007. Available at:

    Google Scholar 

  118. Van Buren HJ, Greenwood M. Enhancing employee voice: are voluntary employer-employee partnerships enough? J Bus Ethics. 2008;81(1):209–21.

    Article  Google Scholar 

  119. Lee L. Public health ethics theory: review and path to convergence. J Law Med Ethics. 2012;40(1):85–98.

    Article  PubMed  Google Scholar 

  120. Screening STaFGoM. Multidisciplinary task and finish group on mass testing: consensus statement for SAGE. 2020.

    Google Scholar 

  121. Manno M, Sito F, Licciardi L. Ethics in biomonitoring for occupational health. Toxicol Lett. 2014;231(2):111–21.

    CAS  Article  PubMed  Google Scholar 

  122. Blendon RJ, DesRoches CM, Cetron MS, Benson JM, Meinhardt T, Pollard W. Attitudes toward the use of quarantine in a public health emergency in four countries. Health Aff (Millwood). 2006;25(2):w15-25.

    Article  Google Scholar 

  123. Van Hooste WLC, Bekaert M. To be or not to be vaccinated? The ethical aspects of influenza vaccination among healthcare workers. Int J Environ Res Public Health. 2019;16(20):3981.

    PubMed Central  Article  Google Scholar 

  124. Have Mt, van der Heide A, Mackenbach JP, de Beaufort ID. An ethical framework for the prevention of overweight and obesity: a tool for thinking through a programme’s ethical aspects. Eur J Public Health. 2012;23(2):299–305.

    Article  PubMed  Google Scholar 

  125. Hunt MK, Lederman R, Stoddard AM, LaMontagne AD, McLellan D, Combe C, et al. Process evaluation of an integrated health promotion/occupational health model in wellworks-2. Health Educ Behav. 2005;32(1):10–26.

    Article  PubMed  Google Scholar 

  126. Carolan S, Harris PR, Cavanagh K. Improving employee well-being and effectiveness: systematic review and meta-analysis of web-based psychological interventions delivered in the workplace. J Med Internet Res. 2017;19(7):e271.

    PubMed Central  Article  PubMed  Google Scholar 

  127. Proper KI, Van Oostrom SH. The effectiveness of workplace health promotion interventions on physical and mental health outcomes – a systematic review of reviews. Scand J Work Environ Health. 2019;45(6):546–59.

    Article  PubMed  Google Scholar 

  128. Quirk H, Crank H, Carter A, Leahy H, Copeland RJ. Barriers and facilitators to implementing workplace health and wellbeing services in the NHS from the perspective of senior leaders and wellbeing practitioners: a qualitative study. BMC Public Health. 2018;18(1):1362.

    PubMed Central  Article  PubMed  Google Scholar 

  129. Rongen A, Robroek SJW, van Ginkel W, Lindeboom D, Pet M, Burdorf A. How needs and preferences of employees influence participation in health promotion programs: a six-month follow-up study. BMC Public Health. 2014;14(1):1277.

    PubMed Central  Article  PubMed  Google Scholar 

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We thank the participants in the consultation. We thank the Thiscovery and Communications teams at THIS Institute for their contributions to this project. We thank Bethan Everson and Gwen Brierley for project management and governance support. We thank Imogen Brown for administrative support.


This study is funded by the Wellcome Trust through a contract award for a project on ethical issues in COVID-19 testing, and by The Healthcare Improvement Studies Institute (THIS Institute), University of Cambridge. THIS Institute is supported by the Health Foundation, an independent charity committed to bringing about better health and healthcare for people in the UK.

Caitriona Cox, Academic Clinical Fellow is funded by the National Institute for Health Research (NIHR). Mary Dixon-Woods holds an NIHR Senior Investigator award (NF-SI-0617–10,026).

The views expressed in this article are those of the authors and not necessarily those of the the NIHR or the Wellcome Trust.

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Authors and Affiliations



All authors read and approved the final manuscript. Their specific contributions are as follows: JWvdS contributed to conceptualisation, investigation, data curation, formal analysis, methodology, project administration, writing – original draft preparation, and writing – review and editing. AA contributed to investigation, formal analysis, data curation, methodology, writing – original draft preparation, and writing – review and editing. MM contributed to formal analysis, methodology, and writing – review and editing. CC contributed to methodology and writing – review and editing. KL contributed to methodology and writing – review and editing. JB contributed to formal analysis and writing – review and editing. JG contributed to formal analysis and writing – review and editing. RK contributed to conceptualisation, project administration, and writing – review and editing. RC contributed to conceptualisation, project administration, and writing – review and editing. BL contributed to formal analysis, and writing – review and editing. JM contributed to formal analysis, and writing – review and editing. KM contributed to formal analysis, software and writing – review and editing. JW contributed to investigation, formal analysis, and writing – review and editing. MDW contributed to conceptualisation, formal analysis, funding acquisition, methodology, supervision, writing – original draft preparation, writing – review and editing.

Corresponding author

Correspondence to Mary Dixon-Woods.

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Ethics approval and consent to participate

The survey and interview consultation were approved by the University of Cambridge Psychology Research Ethics Committee. All participants provided informed written online consent. All methods were carried out in accordance with relevant guidelines and regulations.

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Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1.

Questionnaire used in the case study consultation.

Additional file 2.

Interview guide used in the case study consultation.

Additional file 3.

Selection of supporting data from the survey and interviews that informed the framework.

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van der Scheer, J., Ansari, A., McLaughlin, M. et al. Guiding organisational decision-making about COVID-19 asymptomatic testing in workplaces: mixed-method study to inform an ethical framework. BMC Public Health 22, 1747 (2022).

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  • COVID-19
  • Bioethics
  • Workplaces
  • Testing
  • Qualitative
  • Survey
  • Mixed-method