Evidence map›Paper›PMID 33765353›Full record

ArticleNursing open2021

How does innovative technology impact nursing in infectious diseases and infection control? A scoping review.

Fanyu Huang, Philippe Brouqui, Sophia Boudjema

Open access · goldAbstract readScoping Review
In one paragraph

Article in Nursing open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Fanyu HuangIRD, MEPHI, IHU-Méditerranée Infection, Aix Marseille Université, Marseille, France.ORCID 0000-0001-7585-7939
Philippe BrouquiIRD, MEPHI, IHU-Méditerranée Infection, Aix Marseille Université, Marseille, France.
Sophia BoudjemaIRD, MEPHI, IHU-Méditerranée Infection, Aix Marseille Université, Marseille, France.ORCID 0000-0001-6899-9146
Aix-Marseille Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimConsidering the increasing number of emerging infectious diseases, innovative approaches are strongly in demand. Additionally, research in this field has expanded exponentially. Thus, faced with this diverse information, we aim to clarify key concepts and knowledge gaps of technology in nursing and the field of infectious diseases.

designThis scoping review followed the methodology of scoping review guidance from Arksey and O'Malley.

methodsSix databases were searched systematically (PubMed, Web of Science, IEEE Explore, EBSCOhost, Cochrane Library and Summon). After the removal of duplicates, 532 citations were retrieved and 77 were included in the analysis.

resultsWe identified five major trends in technology for nursing and infectious diseases: artificial intelligence, the Internet of things, information and communications technology, simulation technology and e-learning. Our findings indicate that the most promising trend is the IoT because of the many positive effects validated in most of the reviewed studies.

Indexed as

Artificial IntelligenceCommunicable DiseasesHumansInfection ControlTechnologyinfection controlinfectious diseasenursingnursing performancequality of caretechnology

Identifiers

PMID33765353
PMCPMC8363394
OpenAlexW3136695712

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.