Understanding patterns of adherence to COVID-19 mitigation measures: a qualitative interview study

Author:

Denford Sarah123,Morton Kate S4,Lambert Helen13,Zhang Juan1,Smith Louise E56,Rubin G James56,Cai Shenghan1,Zhang Tingting1,Robin Charlotte3789,Lasseter Gemma13,Hickman Mathew13,Oliver Isabel10,Yardley Lucy1234

Affiliation:

1. Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK

2. School of Psychological Science, University of Bristol, Bristol BS8 1TU, UK

3. NIHR Health Protection Research Unit (HPRU) in Behavioural Science and Evaluation, University of Bristol in collaboration with Public Health, UK

4. Academic Unit of Psychology, University of Southampton, Southampton SO17 1BJ, UK

5. NIHR Health Protection Research Unit in Emergency Preparedness and Response, King’s College London, London SE5 9RJ, UK

6. Department of Psychological Medicine, King’s College London, London WC2R 2LS, UK

7. Public Health England, National Infection Service, Liverpool, UK

8. NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, Liverpool L69 7BE, UK

9. NIHR Health Protection Research Unit in Gastrointestinal Infections, University of Liverpool, Liverpool L69 3BX, UK

10. Public Health England, National Infection Service, Bristol BS1 6EH, UK

Abstract

Abstract 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.

Funder

UK Research and Innovation

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,General Medicine

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