Evidence map›Paper›PMID 38920895›Full record

ReviewInfectious disease reports2024

The Use of Contact Tracing Technologies for Infection Prevention and Control Purposes in Nosocomial Settings: A Systematic Literature Review.

Katy Stokes, Davide Piaggio, Francesco De Micco, Marianna Zarro, Anna De Benedictis, Vittoradolfo Tambone, Madison Moon, Alessia Maccaro, Leandro Pecchia

Abstract readReview
In one paragraph

Review in Infectious disease reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Katy StokesApplied Biomedical Signal Processing Intelligent eHealth Laboratory, School of Engineering, University of Warwick, Coventry CV4 7AL, UK.ORCID 0000-0003-0766-6836
Davide PiaggioApplied Biomedical Signal Processing Intelligent eHealth Laboratory, School of Engineering, University of Warwick, Coventry CV4 7AL, UK.ORCID 0000-0001-5408-9360
Francesco De MiccoResearch Unit of Bioethics and Humanities, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, 00128 Roma, Italy.ORCID 0000-0001-8483-3787
Marianna ZarroApplied Biomedical Signal Processing Intelligent eHealth Laboratory, School of Engineering, University of Warwick, Coventry CV4 7AL, UK.
Anna De BenedictisDepartment of Clinical Affair, Fondazione Policlinico Universitario Campus Bio-Medico, 00128 Roma, Italy.ORCID 0000-0001-8655-0895
Vittoradolfo TamboneResearch Unit of Bioethics and Humanities, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, 00128 Roma, Italy.
Madison MoonInfection Prevention and Control Consultant, Toronto, M4Y 3C8, Canada.
Alessia MaccaroApplied Biomedical Signal Processing Intelligent eHealth Laboratory, School of Engineering, University of Warwick, Coventry CV4 7AL, UK.ORCID 0000-0001-9338-9884
Leandro PecchiaApplied Biomedical Signal Processing Intelligent eHealth Laboratory, School of Engineering, University of Warwick, Coventry CV4 7AL, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPandemic management and preparedness are more needed than ever before and there is widespread governmental interest in learning from the COVID-19 pandemic in order to ensure the availability of evidence-based Infection Prevention and Control measures. Contact tracing is integral to Infection Prevention and Control, facilitating breaks in the chain of transmission in a targeted way, identifying individuals who have come into contact with an infected person, and providing them with instruction/advice relating to testing, medical advice and/or self-isolation.

aimThis study aims to improve our understanding of the use of contact tracing technologies in healthcare settings. This research seeks to contribute to the field of Infection Prevention and Control by investigating how these technologies can mitigate the spread of nosocomial infections. Ultimately, this study aims to improve the quality and safety of healthcare delivery.

methodsA systematic literature review was conducted, and journal articles investigating the use of contact tracing technologies in healthcare settings were retrieved from databases held on the OvidSP platform between March and September 2022, with no date for a lower limit.

resultsIn total, 277 studies were retrieved and screened, and 14 studies were finally included in the systematic literature review. Most studies investigated proximity sensing technologies, reporting promising results. However, studies were limited by small sample sizes and confounding factors, revealing contact tracing technologies remain at a nascent stage. Investment in research and development of new testing technologies is necessary to strengthen national and international contact tracing capabilities.

conclusionThis review aims to contribute to those who intend to create robust surveillance systems and implement infectious disease reporting protocols.

Indexed as

contact tracinghealthcare-associated infectionshealthcare risk managementinfection prevention and controlpandemic preparednessquality of care

Identifiers

PMID38920895
PMCPMC11203438

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.