Technology-enabled CONTACT tracing in care homes in the COVID-19 pandemic: the CONTACT non-randomised mixed-methods feasibility study
Thompson CA, Willis TA, Farrin A, Gordon A, Daffu-O’Reilly A, Noakes C, Khaliq K, Kemp A, Hall T, Bojke C, Spilsbury K
Record ID 32018014120
English
Authors' objectives:
Coronavirus disease 2019 devastated lives in care homes for older people, where residents faced higher mortality risks than the general population. Infection prevention and control decisions were critical to protect these vulnerable residents. Infection prevention and control measures like ‘lockdowns’ had their own risks, such as social isolation, alongside assumed benefits. A key non-pharmaceutical intervention for managing infections is contact tracing. Traditional contact tracing, which relies on recalling contacts, is not feasible in care homes where approximately 70% of residents have cognitive impairments. The CONtact TrAcing in Care homes using digital Technology intervention introduces Bluetooth-enabled wearable devices for automated contact tracing. We provided structured reports (scheduled regularly and in reaction to positive COVID-19 cases) on contact patterns to homes to support better-informed infection prevention and control decisions and potentially reduce blanket restrictive measures. We also partnered with the PROTECT COVID-19 research team to examine air quality in two of our homes.
Authors' results and conclusions:
Of 156 eligible residents, 105 agreed to wear a device, with 102 (97%) starting the intervention. Of 225 eligible staff, 82.4% (n = 178) participated. Over 2 months, device loss and battery failure were significant: residents lost 11% of devices, with half replaced. Staff lost fewer devices, just 6.5%, but
Authors' methods:
CONTACT was a non-randomised mixed-method feasibility study in four English care homes. Recruitment was via care home research networks, with individual consent. Data collection included routine device data, case report forms, qualitative interviews, field observations of care home activity and an adapted Normalisation Measure Development questionnaire survey to explore implementation using normalisation process theory. Quantitative data were analysed using descriptive statistical methods, and qualitative data were thematically analysed using normalisation process theory. Intervention and study delivery were evaluated against predefined progression criteria. Researchers had to pragmatically adapt procedures, resulting in suboptimal implementation choices from an implementation science perspective. Future research should co-design interventions with homes, focusing on implementation and wearability as much as technical effectiveness.
Details
Project Status:
Completed
URL for project:
https://www.journalslibrary.nihr.ac.uk/programmes/hta/NIHR135799
Year Published:
2025
URL for published report:
https://www.journalslibrary.nihr.ac.uk/hta/published-articles/UHDN6497
URL for additional information:
English
English language abstract:
An English language summary is available
Publication Type:
Full HTA
Country:
England, United Kingdom
DOI:
10.3310/UHDN6497
MeSH Terms
- COVID-19
- Coronavirus Infections
- SARS-CoV-2
- Contact Tracing
- Aged
- Aged, 80 and over
- Homes for the Aged
- Nursing Homes
- Assisted Living Facilities
- Wearable Electronic Devices
Contact
Organisation Name:
NIHR Health Technology Assessment programme
Contact Address:
NIHR Journals Library, National Institute for Health and Care Research, Evaluation, Trials and Studies Coordinating Centre, Alpha House, University of Southampton Science Park, Southampton SO16 7NS, UK
Contact Name:
journals.library@nihr.ac.uk
Contact Email:
journals.library@nihr.ac.uk
This is a bibliographic record of a published health technology assessment from a member of INAHTA or other HTA producer. No evaluation of the quality of this assessment has been made for the HTA database.