key: cord-0861121-ru9gjxjx authors: Denford, Sarah; Morton, Kate S; Lambert, Helen; Zhang, Juan; Smith, Louise E; Rubin, G James; Cai, Shenghan; Zhang, Tingting; Robin, Charlotte; Lasseter, Gemma; Hickman, Mathew; Oliver, Isabel; Yardley, Lucy title: Understanding patterns of adherence to COVID-19 mitigation measures: a qualitative interview study date: 2021-02-09 journal: J Public Health (Oxf) DOI: 10.1093/pubmed/fdab005 sha: e573637fdfd25fcbbc82c6cfcd7c1b843467f5a3 doc_id: 861121 cord_uid: ru9gjxjx BACKGROUND: Evidence highlights the disproportionate impact of measures that have been introduced to reduce the spread of coronavirus on individuals from Black, Asian and minority ethnic (BAME) communities, and among those on a low income. An understanding of barriers to adherence in these populations is needed. In this qualitative study, we examined the patterns of adherence to mitigation measures and reasons underpinning these behaviors. METHODS: Semi-structured interviews were conducted with 20 participants from BAME and low-income White backgrounds. The topic guide was designed to explore how individuals are adhering to social distancing and self-isolation during the pandemic and to explore the reasons underpinning this behavior. RESULTS: We identified three categories of adherence to lockdown measures: (i) caution-motivated super-adherence (ii) risk-adapted partial-adherence and (iii) necessity-driven partial-adherence. Decisions about adherence considered potential for exposure to the virus, ability to reduce risk through use of protective measures and perceived importance of/need for the behavior. CONCLUSIONS: This research highlights a need for a more nuanced understanding of adherence to lockdown measures. Provision of practical and financial support could reduce the number of people who have to engage in necessity-driven partial-adherence. More evidence is required on population level risks of people adopting risk-adapted partial-adherence. Numerous mitigation measures have been introduced in an e ort to prevent the spread of coronavirus in the UK. These include restrictions of movement, social distancing, mandatory use of face coverings in certain settings and engagement in test, trace and isolate procedures when necessary. Critically, the e ectiveness of these measures for preventing transmission is dependent on the extent to which they are known, understood, accepted and adopted in time. However, throughout the pandemic, research indicates variation in the extent to which people are willing and able to adhere to guidance. [1] [2] [3] [4] Although social distancing and self-isolation behavior during lockdown can be crudely defined as being 'adherent' or 'not-adherent', it is likely that there is a more nuanced scale of adherence. 5 Attempts have been made to challenge the view that adherence should be considered a dichotomy. Fancourt et al. 6 use the terms 'complete' and 'majority' adherence to compare those who follow all the guidance all the time with those who follow some of the guidance, or for some of the time. Williams et al. 5 refer to 'overt rule breaking' and 'subjective rule interpretation' to di erentiate between those who were deliberately breaking the rules, and those who are interpreting inconsistent or constantly changing guidance to suit their needs. However, these terms do not capture the complexities underpinning decisions to adhere to the guidance, and the risk that this may bring. People may be acting conscientiously, engaging only in activities in which they are unlikely to come into contact with anyone, attempting to minimize the risk of transmitting or catching the virus. 5 Alternatively, people may be leaving their home out of necessity, in order to buy food or medicine, or to provide care for a vulnerable person. It is still unclear how the public are making decisions about what they should and should not do, what they actually are doing, and how safe this is. Periods of lockdown may be particularly challenging for those from the lowest income backgrounds and individuals from Black, Asian and minority ethnic (BAME) communities who are less able to engage in social distancing measures, and are less able to work from home and self-isolate when required. 2 Emerging evidence from the Mental Health Foundation's Mental Health in the Pandemic study also indicates that a higher proportion of members of BAME communities are experiencing financial concerns, fear and anxiety than members of the non-BAME population. Furthermore, people from BAME communities are more likely to be in precarious work and where furloughing may not have been o ered. 7 Understanding and supporting adherence to mitigation measures among this population is therefore critical. The aim of this study was to gain a better understanding of how people from low-income and BAME communities are adhering to social distancing and self-isolation measures during the COVID-19 pandemic, and to explore in detail the reasons underpinning this behavior. Participants over the age of 18 years from BAME, and lowincome White backgrounds were recruited via social media channels. We invited interested individuals to contact the research team via email. Potential participants were sent an information sheet about the study. All interviews were conducted via the telephone or using the online platform Zoom. Audio-recorded verbal consent was obtained. Interviews were conducted between the 8th and 31st July 2020 and lasted between 21 and 55 min. At that time, nonessential shops and places of worship were allowed to open, and in England, groups of six were allowed to meet outside. People were still required to stay 2 m apart, and isolate if they, or their household, experienced symptoms of COVID-19. Face masks were compulsory on public transport, and from the 24th July were also mandatory in shops. Participants were asked about their understanding and perceptions of government mitigation measures, and their decisions about social distancing and self-isolation behavior during lockdown. Following the stages of thematic analysis, 8 two researchers independently read transcripts and assigned initial codes to the data. Possible themes were identified and refined through discussion. Data were checked against an initial framework and refinements made as necessary. For each theme in the framework, charts were developed, and relevant text copied verbatim. Charts were used to identify common concepts within and between participants, and explanations sought for divergence. Participants were given the opportunity to discuss the analysis and interpretations with the researcher team via Zoom or telephone meetings. Two participants engaged in these discussions, contemplating how their behavior fit with the identified categories of adherence, and providing feedback on the final themes. A total of 20 participants (13 female) took part in the interviews. Participants were between the ages of 18 and 65 years and from Black African and Black Caribbean (N = 4), Asian 9 and White (N = 7) ethnic groups. The average (mean) Index of Multiple Deprivation decile was 4.15. Four participants reported that they had had COVID-19, or symptoms of COVID-19 in the household. Thematic analysis showed that participants engaged in active evaluation of infection risk and control measures, following which three context-specific patterns of adherence were identified ( Fig. 1) . Participants were eager to understand how they could protect themselves, their households and their communities, but often struggled to keep up-to-date with and make sense of the 'constantly changing' advice and recommendations (Table 1 -Quote 1). There was evidence of a lack of understanding of terms such as self-isolation, and how to self-isolate safely (Quote 2). Participants were unclear as to whether they should be isolating (Quote 3), or shielding (Quote 4), and felt uniformed about the number of cases of COVID-19 in their local areas (Quote 5). Due to a lack of scientific certainty surrounding the guidance, messages were often considered to be 'open to interpretation' (Quote 6). Participants described a need to decide for themselves how to respond to the information they were receiving, and to use their judgement, rather than simply following the guidance (Quotes 7 and 8). Decisions appeared to be made on the basis of their individual situations, putting the health and needs of their family ahead of government guidance (Quote 9). Participants described a willingness to adhere to mitigation measures in order to protect themselves and their households from the virus ( Table 2 -Quote 1), or to protect others around them, for example, if and when they had experienced symptoms of COVID-19 (Quote 2). Increased e orts were taken by participants from vulnerable groups to protect themselves (Quote 3) or vulnerable members of their households. Many of the participants who considered themselves or their households to be vulnerable, and felt that the risk of exposure to the virus was high, reported engaging in additional, precautionary measures to protect themselves and their families (Quote 4). Super-adherence was particularly prominent among vulnerable participants who did not consider government recommendations to be su cient for protecting them (Quote 5). A second pattern of adherence included breaking lockdown rules if it was perceived as safe to do so (Table 3) . Partiallyadherent behaviors were justified by participants, either because they were genuinely perceived as being low risk or because there were su cient inconsistencies in key messages to allow participants to present their behavior as low risk. Low risk behaviors included those that were considered unlikely to contribute to the transmission of COVID-19 (e.g. those that do not result in close contact with others), as well as behaviors that were considered safe for the individual participant. As an example of the former, one participant described a willingness to leave the house on more than one occasion, a behavior that was not permitted at the time, because he considered it very unlikely that he would come into contact with others (Quote 1). Behaviors that were considered safe for the individual were usually based on individual perceptions of risk, with those who did not consider themselves to be at high risk describing how this had made them less inclined to adhere to social distancing guidelines (Quotes 2 and 3), whereas potentially overlooking the risk to others. Any apparent ambiguities or inconsistencies in information could be used to justify partial-adherence (Quotes 4 and 5). One participant explained how she had allowed her son to play with his friends as key worker children were allowed to remain in school (Quote 6). Another participant was willing to meet a friend during lockdown because she reasoned that it was no di erent from seeing others' outside at a distance (Quote 7). A third participant, who described himself as low risk, outlined how breaches of lockdown among influential figures reduced his willingness to restrict his own lifestyle (Quote 8). Necessity-driven partial-adherence Participants described situations in which they felt they had no choice but to break the rules around social distancing or self-isolation. Participants described a need to find a balance between staying safe and maintaining their mental health and wellbeing (Table 4 : Quote 1), or to continue to work because of financial concerns and responsibilities (Quote 2). Indeed, there was perceived pressure from those in management positions to return to work-even when it was against o cial advice (Quote 3). One participant who lived in rented accommodation felt under pressure to allow her landlord to enter her home for maintenance purposes, even though she did not feel comfortable allowing him to do so (Quote 4). Other necessities included for religious purposes (Quotes 5 and 6), or to provide support for bereavement (Quote 7). A common motive for breaking social distancing guidance was for the sake of their own mental health and wellbeing, or that of their friends and family. One participant described how she had met with her son during lockdown as she was struggling with her anxiety (Quote 8). This participant later described going out during the lockdown period to meet a friend who was also struggling to cope with social distancing measures. Social contact with anyone outside the household was prohibited at the time (Quote 9). One parent was particularly anxious about the mental wellbeing of her children, and described how she had allowed her children to meet with friends before lockdown restrictions were lifted because she felt that they had needed it (Quote 10). Growing evidence highlights the substantial impact of the lockdown measures on individuals from BAME communities and those on low-income, 9 with these individuals facing additional barriers to adherence to government imposed mitigation measures. 2 In line with previous research, participants in the current study reported engaging in behaviors that were not always in line with the government's social distancing and self-isolation advice. However, these acts of partialadherence were not always high risk or avoidable. We suggest that participants made risk-adapted decisions based on their perceptions of the degree of transmission risk entailed by the behavior (for themselves and others), in relation to the importance of the activities they wanted or needed to undertake. We outline three context-specific patterns of adherence: (i) caution-motivated super-adherence, (ii) risk-adapted partial-adherence and (iii) necessity-driven partial-adherence. 'She's got her church friends that goes round. But I think they just sit in the garden or sit in the kitchen, the two of them and do their bible studies' (Participant 08, BAME Female). 'I did then meet up with another friend who was nding lockdown dif cult, which we were not supposed to at that point. We met at a distance on a walk. I felt mentally I needed that' (Participant 16, White Female). Quote 10 'They've gone out for the last two months. They started going out to do exercises and go and meet up with friends' (Participant 04, BAME Female). Our findings highlight the need for di erent forms of intervention, as well as additional research into the impact and risks associated with these patterns of adherence. One pattern of adherence involved participants engaging in measures that were additional to those recommended by the government, and continuing to adhere to strict social distancing guidance after restrictions were lifted. Although participants in the current sample were able to continue with more stringent social distancing measures in the short term, it is critical that support is available for vulnerable individuals from BAME communities and those on low-income to be able to maintain this level of adherence when necessary. As much research highlights that social distancing is particularly problematic among these individuals, 2 support is urgently required for vulnerable individuals who need to engage in additional protective measures when government-imposed restrictions are lifted. A second pattern of adherence involved infringing rules around social distancing if it was perceived as safe to do so due to risk of transmission of COVID-19 being low (riskadapted partial-adherence). Participants in the current study described leaving the home for physical activity on multiple occasions, or to meet with others at a safe distance outside the home (behaviors that were not permitted at the time). These behaviors were justified by participants as they were viewed as low risk; either because the participant would not be in close contact with others, or because alternative methods of protection (hand hygiene and face coverings) were used. Classifying this behavior as 'risky' in the same way as those who engage in high risk (e.g. indoor) contact may be unhelpful, particularly as physical activity is likely to have a positive impact on wellbeing. 10, 11 With essential social distancing measures in place this form of partial-adherence could potentially be a lower risk way of obtaining much needed social support. In some situations, participants justified breaking social distancing rules because they did not consider themselves or their household to be vulnerable. The potential impact on transmission of COVID-19 beyond their household did not appear to have been considered. Other participants used comparisons to other situations in order to provide justification for their partial-adherence, such as key worker children being allowed to remain in school. However, the extent to which these behaviors or situations are genuinely low risk may be questioned. Indeed some participants, particularly those who considered themselves to be of low risk, appeared to be using information selectively to justify ignoring di cult social distancing rules. The cumulative impact of small acts of nonadherence is still unknown. 12 A final pattern of adherence involved engaging in potentially risky behavior due to a perceived need or pressure (necessity-driven partial-adherence). This could be motivated by a need to maintain the mental health and wellbeing of themselves or others, to continue to work and earn a living, to deal with emergencies or for religious reasons. These participants perceived a critical need to engage in these behaviors and felt that they had no choice in the matter. These pressures are likely to be greater among individuals from BAME communities and those on a low-income, who are less able to work remotely or adhere to social distancing and selfisolation guidance. 7, 9 In order to improve engagement with lockdown measures, it is crucial that financial, tangible and social support is available. What is already known on this topic Current understanding of adherence to social distancing and self-isolation has viewed adherence as a dichotomy, with the majority of research focusing on prediction rather than understanding adherence. Indeed, numerous surveys have identified influences such as age, 13 gender, 13 and ethnicity, 2 perceptions of risk, 14 behavior of others, 15 access to help and support, 3 trust in the government and the e ectiveness of mitigation measures 15, 16 and already having had COVID-19 17 on behavior. However, to date, research has not focused on exploring, in detail, what people are doing, why, and how safe it is. Our research has identified di erent patterns of adherence among BAME individuals and those on low income, each with di erent associated implications and risks. Although previous research depicts an overall lack of adherence to mitigation measures, we highlight that there are at least three patterns of adherence, and di erent forms of intervention will be needed to support individuals to protect themselves, their households and their communities from COVID-19 and the imposed mitigation measures. This may include provision of practical and social support for those who need it. Further research is needed to explore the impact and risks associated with categories of adherence, including the cumulative impact of small episodes of non-adherence at a population level. Although the individual breaking lockdown may consider themselves to be at low risk of the more serious consequences of COVID-19, the aim of the lockdown was to reduce contact between people to reduce the burden of disease overall in the population. Additional research is needed to understand the true impact of risk adapted partial-adherence on transmission of COVID-19. Although every e ort was made to recruit a diverse and representative sample, we acknowledge that our use of social media may have resulted in a biased sample. Much of our recruitment was via COVID-19 support pages, and previous research has shown that use of social media during the pandemic is associated with increased levels of anxiety 18 and misinformation. 19 It is therefore possible that our samples of volunteers are not representative of those who do not use social media for COVID-19 related support or information. Likewise, participants did not necessarily have symptoms of COVID-19, and were therefore discussing breaches of social distancing, rather than self-isolation. Responses may have been di erent among a population who had experienced symptoms of COVID-19. Our study may also have been influenced by response bias. It is possible that participants were unable to accurately recall attitudes and behaviors at the start of the pandemic, or did not feel able to disclose risky or substantial breaches of lockdown to the research team. Although participants in the sample were willing to share examples of partially-adherent behavior, they may not have been willing to share experiences of more risky behavior during the interviews. Finally, interviews were conducted in July 2020. During this period, lockdown measures were being eased, and cases COVID-19 were falling. Alongside changing rules and guidance, knowledge, attitudes and behavior also change rapidly. Attempts to transfer the results of this study to other populations, or periods of lockdown must be made with caution. Although participants reported partially-adherent behavior, this was the result of a complex decision-making process regarding the risks and benefits of engaging in the behavior, often with clear attempts to reduce risk as much as possible. Participants appeared to actively make decisions to engage in behaviors that they considered to be safe and/or necessary, leading to three patterns of adherence. Our findings highlight the need for di erent forms of intervention, as well as additional research into the impact and risks associated with these patterns of adherence. authors reviewed the manuscript, approved the final content and met authorship criteria. Self-isolation compliance in the COVID-19 era influenced by compensation: findings from a recent survey in Israel Perceptions and behavioural responses of the general public during the COVID-19 pandemic: a cross-sectional survey of UK adults. med Rxiv Factors associated with adherence to self-isolation and lockdown measures in the UK: a cross-sectional survey Current infection control behaviour patterns in the UK, and how they can be improved by "Germ Defence", an online behavioural intervention to reduce the spread of COVID-19 in the home Public perceptions of non-adherence to COVID-19 measures by self and others in the United Kingdom A UCL COVID-19 Social Study. Results Release Mental Health Foundation. Mental Health in the COVID-19 Using thematic analysis in psychology Understanding the Impact of COVID-19 on BAME groups When pandemic hits: exercise frequency and subjective wellbeing during COVID-19 pandemic Physical activity, mental health and wellbeing of adults during early COVID-19 containment strategies: a multi-country cross-sectional analysis Strategy of prevention: lessons learned from cardiovascular disease Demographic and attitudinal factors of adherence to quarantine guidelines during COVID-19: the Italian model Public perceptions of the e ectiveness of recommended non-pharmacological interveniton behaivours to mitigate the spread of SARS-CoV-2 The cummings e ect: politics, trust and behaviours during the COVID-19 pandemic Barriers and facilitators of adherence to social distancing recommendations during COVID-19 among a large international sample of adults The impact of believing you have had COVID-19 on behaviouir: cross-sectional survey Mental health problems and social media exposure during COVID-19 outbreak Health protective behaviour, social media usage and consipracy belief during the COVID-19 public health emergency All authors conceptualized and designed the study and were involved in interpretation. SD, KM and LY were involved in data analysis. SD led the drafting of the manuscript. All None declared. Ethical approval was provided by the NHS Health Research Authority London-Queen Square Research Ethics Com-mittee (20/HRA/2549). All interview participants verbally consented to take part in the study. All participants provided verbal or written consent for data to be included in publications. The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.