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Implementing Germ Defence digital behaviour change intervention via all primary care practices in England to reduce respiratory infections during the COVID-19 pandemic: an efficient cluster randomised controlled trial using the OpenSAFELY platform

Abstract:
This article relates to a research study that included patients or members of the workforce as study participants from GP practices in Nottingham and Nottinghamshire.Background: Germ Defence ( www.germdefence.org ) is an evidence-based interactive website that promotes behaviour change for infection control within households. To maximise the potential of Germ Defence to effectively reduce the spread of COVID-19, the intervention needed to be implemented at scale rapidly. Methods: With NHS England approval, we conducted an efficient two-arm (1:1 ratio) cluster randomised controlled trial (RCT) to examine the effectiveness of randomising implementation of Germ Defence via general practitioner (GP) practices across England, UK, compared with usual care to disseminate Germ Defence to patients. GP practices randomised to the intervention arm (n = 3292) were emailed and asked to disseminate Germ Defence to all adult patients via mobile phone text, email or social media. Usual care arm GP practices (n = 3287) maintained standard management for the 4-month trial period and then asked to share Germ Defence with their adult patients. The primary outcome was the rate of GP presentations for respiratory tract infections (RTI) per patient. Secondary outcomes comprised rates of acute RTIs, confirmed COVID-19 diagnoses and suspected COVID-19 diagnoses, COVID-19 symptoms, gastrointestinal infection diagnoses, antibiotic usage and hospital admissions. The impact of the intervention on outcome rates was assessed using negative binomial regression modelling within the OpenSAFELY platform. The uptake of the intervention by GP practice and by patients was measured via website analytics. Results: Germ Defence was used 310,731 times. The average website satisfaction score was 7.52 (0-10 not at all to very satisfied, N = 9933). There was no evidence of a difference in the rate of RTIs between intervention and control practices (rate ratio (RR) 1.01, 95% CI 0.96, 1.06, p = 0.70). This was similar to all other eight health outcomes. Patient engagement within intervention arm practices ranged from 0 to 48% of a practice list. Conclusions: While the RCT did not demonstrate a difference in health outcomes, we demonstrated that rapid large-scale implementation of a digital behavioural intervention is possible and can be evaluated with a novel efficient prospective RCT methodology analysing routinely collected patient data entirely within a trusted research environment
Publication status:
Published
Peer review status:
Peer reviewed

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Role:
Author
ORCID:
0000-0002-5098-1092
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Role:
Author
ORCID:
0000-0001-7092-4960
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Role:
Author
ORCID:
0000-0002-1898-6301
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Role:
Author
ORCID:
0000-0002-1949-5774
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Role:
Author
ORCID:
0000-0003-1964-2815


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Funder identifier:
10.13039/501100023699
Grant:
HDRUK2021.000
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Funder identifier:
10.13039/501100000272
Grant:
NIHR135559
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Funder identifier:
10.13039/501100000265
Grant:
MR/V015737/1
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Funder identifier:
10.13039/100010269
Grant:
222097/Z/20/Z
More from this funder
Funder identifier:
10.13039/100014013
Grant:
CV220-009


Publisher:
BioMed Central
Journal:
Implementation Science More from this journal
Volume:
18
Issue:
1
Pages:
67-67
Article number:
67
Publication date:
2023-12-04
DOI:
EISSN:
1748-5908
ISSN:
1748-5908


Language:
English
Keywords:
Pubs id:
1578177
Local pid:
pubs:1578177
Source identifiers:
W4389300457
Deposit date:
2026-06-04
ARK identifier:
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