Evidence map›Paper›PMID 33559682›Full record

ArticleJournal of public health (Oxford, England)2021

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

Sarah Denford, Kate S Morton, Helen Lambert, Juan Zhang, Louise E Smith, G James Rubin, Shenghan Cai, Tingting Zhang, Charlotte Robin, Gemma Lasseter and 3 more

Abstract read
In one paragraph

Article in Journal of public health (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Sarah DenfordPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK.
Kate S MortonAcademic Unit of Psychology, University of Southampton, Southampton SO17 1BJ, UK.
Helen LambertPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK.
Juan ZhangPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK.
Louise E SmithNIHR Health Protection Research Unit in Emergency Preparedness and Response, King's College London, London SE5 9RJ, UK.
G James RubinNIHR Health Protection Research Unit in Emergency Preparedness and Response, King's College London, London SE5 9RJ, UK.
Shenghan CaiPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK.
Tingting ZhangPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK.
Charlotte RobinNIHR Health Protection Research Unit (HPRU) in Behavioural Science and Evaluation, University of Bristol in collaboration with Public Health, UK.
Gemma LasseterPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK.
Mathew HickmanPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK.
Isabel OliverPublic Health England, National Infection Service, Bristol BS1 6EH, UK.
Lucy YardleyPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK.

Funding

Medical Research Council MC_PC_19068Medical Research Council MC_PC_19071NIH HHSUK Research and Innovation MC_PC 19071
6 · The paper itself

Abstract

backgroundEvidence 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.

methodsSemi-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.

resultsWe 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.

conclusionsThis 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.

Indexed as

COVID-19Communicable Disease ControlHumansPandemicsQualitative ResearchSARS-CoV-2adherenceCOVID-19infection controlpublic involvementqualitativerisk assessment

Identifiers

PMID33559682
PMCPMC7928806

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.