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Adherence to the test, trace and isolate system: results from a time series of 21 nationally representative surveys in the UK (the COVID-19 Rapid Survey of Adherence to Interventions and Responses study)
Preprint
in English
| medRxiv
| ID: ppmedrxiv-20191957
ABSTRACT
Objectives:
To investigate rates of adherence to the UKs test, trace and isolate system over time.Design:
Time series of cross-sectional online surveys.Setting:
Data were collected between 2 March and 5 August 2020.Participants:
42,127 responses from 31,787 people living in the UK, aged 16 years or over, are presented (21 survey waves, n{approx}2,000 per wave). Main outcomemeasures:
Identification of the key symptoms of COVID-19 (cough, high temperature / fever, and loss of sense of smell or taste), self-reported adherence to self-isolation if symptomatic, requesting an antigen test if symptomatic, intention to share details of close contacts, self-reported adherence to quarantine if alerted that you had been in contact with a confirmed COVID-19 case.Results:
Only 48.9% of participants (95% CI 48.2% to 49.7%) identified key symptoms of COVID-19. Self-reported adherence to test, trace and isolate behaviours was low (self-isolation 18.2%, 95% CI 16.4% to 19.9%; requesting an antigen test 11.9%, 95% CI 10.1% to 13.8%; intention to share details of close contacts 76.1%, 95% CI 75.4% to 76.8%; quarantining 10.9%, 95% CI 7.8% to 13.9%) and largely stable over time. By contrast, intention to adhere to protective measures was much higher. Non-adherence was associated with men, younger age groups, having a dependent child in the household, lower socio-economic grade, greater hardship during the pandemic, and working in a key sector.Conclusions:
Practical support and financial reimbursement is likely to improve adherence. Targeting messaging and policies to men, younger age groups, and key workers may also be necessary.
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Full text:
Available
Collection:
Preprints
Database:
medRxiv
Type of study:
Experimental_studies
/
Observational study
/
Prognostic study
/
Rct
Language:
English
Year:
2020
Document type:
Preprint