Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK.
School of Psychological Science, University of Bristol, Bristol BS8 1TU, UK.
J Public Health (Oxf). 2021 Sep 22;43(3):508-516. doi: 10.1093/pubmed/fdab005.
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.
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.
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.
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.
有证据表明，为了减少冠状病毒的传播而采取的措施对来自黑人和少数族裔（BAME）社区的个人以及低收入人群产生了不成比例的影响。需要了解这些人群中坚持这些措施的障碍。在这项定性研究中，我们研究了这些人群中坚持缓解措施的模式和这些行为背后的原因。
我们对来自 BAME 和低收入白人背景的 20 名参与者进行了半结构化访谈。该主题指南旨在探讨个人在大流行期间如何遵守社交距离和自我隔离的规定，并探讨这种行为背后的原因。
我们确定了对锁定措施的三种坚持程度：（i）谨慎驱动的超级坚持；（ii）风险适应的部分坚持；（iii）必要性驱动的部分坚持。对坚持的决定考虑了接触病毒的可能性、通过使用保护措施减少风险的能力以及对行为的重要性/必要性的认知。
这项研究强调需要更细致地了解对锁定措施的坚持。提供实际和财政支持可以减少必须采取部分坚持措施的人数。需要更多关于风险适应的部分坚持人群的风险证据。
