Evidence map›Paper›PMID 37872611›Full record

ArticleBMC public health2023

Understanding adherence to self-isolation in the first phase of the COVID-19 pandemic in England: a cross-sectional mixed-methods study.

Charlotte Robin, Rosy Reynolds, Helen Lambert, Matthew Hickman, G James Rubin, Louise E Smith, Lucy Yardley, Shenghan Cai, Tingting Zhang, Piers Mook and 7 more

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

17 authors.

Charlotte RobinBehavioural Science and Insights Unit, UK Health Security Agency, Liverpool, L3 1DS, UK. charlotte.robin@ukhsa.gov.uk.
Rosy ReynoldsPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Helen LambertPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Matthew HickmanPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
G James RubinDepartment of Psychological Medicine, King's College London, London, UK.
Louise E SmithDepartment of Psychological Medicine, King's College London, London, UK.
Lucy YardleyPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Shenghan CaiPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Tingting ZhangPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Piers MookUKHSA, Field Service, Health Protection Operations, London, UK.
Oliver McManusUKHSA, Field Service, Health Protection Operations, London, UK.
Gemma LasseterPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Polly CompstonUKHSA, Field Service, Health Protection Operations, Cambridge, UK.
Sarah DenfordSchool of Psychological Science, University of Bristol, Bristol, UK.
Juan ZhangDepartment of Anthropology and Archaeology, University of Bristol, Bristol, UK.
Richard AmlôtBehavioural Science and Insights Unit, UK Health Security Agency, Salisbury, UK.
Isabel OliverPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Funding

Department of Health MC_PC 19071
6 · The paper itself

Abstract

backgroundDuring the early "containment" phase of the COVID-19 response in England (January-March 2020), contact tracing was managed by Public Health England (PHE). Adherence to self-isolation during this phase and how people were making those decisions has not previously been determined. The aim of this study was to gain a better understanding of decisions around adherence to self-isolation during the first phase of the COVID-19 response in England.

methodsA mixed-methods cross sectional study was conducted, including an online survey and qualitative interviews. The overall pattern of adherence was described as never leaving home, leaving home for lower-contact reasons and leaving home for higher-contact reasons. Fisher's exact test was used to test associations between adherence and potentially predictive binary factors. Factors showing evidence of association overall were then considered in relation to the three aspects of adherence individually. Qualitative data were analysed using inductive thematic analysis.

resultsOf 250 respondents who were advised to self-isolate, 63% reported not leaving home at all during their isolation period, 20% reported leaving only for lower-contact activities (dog walking or exercise) and 16% reported leaving for higher-contact, and therefore higher-risk, reasons. Factors associated with adherence to never going out included: the belief that following isolation advice would save lives, experiencing COVID-19 symptoms, being advised to stay in their room, having help from outside and having regular contact by text message from PHE. Factors associated with non-adherence included being angry about the advice to isolate, being unable to get groceries delivered and concerns about losing touch with friends and family. Interviews highlighted that a sense of duty motivated people to adhere to isolation guidance and where people did leave their homes, these decisions were based on rational calculations of the risk of transmission - people would only leave their homes when they thought they were unlikely to come into contact with others.

conclusionsUnderstanding adherence to isolation and associated reasoning during the early stages of the pandemic is essential to pandemic preparedness for future emerging infectious disease outbreaks. Individuals make complex decisions around adherence by calibrating transmission risks, therefore treating adherence as binary should be avoided.

Indexed as

COVID-19AnimalsCross-Sectional StudiesDogsEnglandHumansPandemicsPublic HealthAdherenceBehaviourCOVID-19Self-isolation

Identifiers

PMID37872611
PMCPMC10594856

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.