Evidence map›Paper›PMID 40350743›Full record

ArticleHealth technology assessment (Winchester, England)2025

Technology-enabled CONTACT tracing in care homes in the COVID-19 pandemic: the CONTACT non-randomised mixed-methods feasibility study.

Carl A Thompson, Thomas A Willis, Amanda Farrin, Adam Gordon, Amrit Daffu-O'Reilly, Catherine Noakes, Kishwer Khaliq, Andrew Kemp, Tom Hall, Chris Bojke and 1 more

Abstract read
In one paragraph

Article in Health technology assessment (Winchester, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Carl A ThompsonSchool of Healthcare, University of Leeds, Leeds, UK.ORCID 0000-0002-9369-1204
Thomas A WillisLeeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK.ORCID 0000-0002-0252-9923
Amanda FarrinLeeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK.ORCID 0000-0002-2876-0584
Adam GordonAcademic Centre for Healthy Ageing, Queen Mary University of London, London, UK.ORCID 0000-0003-1676-9853
Amrit Daffu-O'ReillySchool of Healthcare, University of Leeds, Leeds, UK.ORCID 0000-0002-3022-4596
Catherine NoakesSchool of Civil Engineering, University of Leeds, Leeds, UK.ORCID 0000-0003-3084-7467
Kishwer KhaliqSchool of Civil Engineering, University of Leeds, Leeds, UK.ORCID 0000-0003-3582-9313
Andrew KempSchool of Electronic and Electrical Engineering, University of Leeds, Leeds, UK.ORCID 0000-0003-0362-7653
Tom HallSouth Tyneside Council, South Shields, UK.ORCID 0000-0001-6860-9865
Chris BojkeAcademic Unit of Health Economics, School of Medicine, University of Leeds, Leeds, UK.ORCID 0000-0003-2601-0314
Karen SpilsburySchool of Healthcare, University of Leeds, Leeds, UK.ORCID 0000-0002-6908-0032

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 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. 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. Results: Of 156 eligible residents, 105 agreed to wear a device, with 102 (97%) starting the intervention. Of 225 eligible staff, 82.4% ( Limitations: 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. Conclusion: A definitive trial of CONTACT was not feasible or acceptable to care homes, partly due to the shifting pandemic context and demands on homes. With more effective implementation, Bluetooth-enabled wearable systems as part of 'Internet of Things' in homes could be used to: (1) better understand airborne transmission risks, ventilation and air quality and (2) make important relational aspects of care quality and residents' quality of life more transparent. Future work: We will continue to explore the possibilities of Bluetooth-enabled wearables for modelling social networks, movement, infection risks and quality in care homes with academic and care partners. Funding: This synopsis presents independent research funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme as award number NIHR132197.

Indexed as

Contact TracingCOVID-19Homes for the AgedNursing HomesAgedAged, 80 and overEnglandFeasibility StudiesFemaleHumansMalePandemicsSARS-CoV-2Wearable Electronic DevicesWireless TechnologyBLUETOOTH-ENABLED WEARABLESCARE HOMESCOMPLEX INTERVENTIONSCOVID-19DIGITAL CONTACT TRACINGFEASIBILITYLONG-TERM CARE

Identifiers

PMID40350743
PMCPMC12278376

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.