Evidence map›Paper›PMID 32806583›Full record

ReviewAntibiotics (Basel, Switzerland)2020

E-Health Tools to Improve Antibiotic Use and Resistances: A Systematic Review.

Érico Carvalho, Marta Estrela, Maruxa Zapata-Cachafeiro, Adolfo Figueiras, Fátima Roque, Maria Teresa Herdeiro

Abstract readReview
In one paragraph

Review in Antibiotics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

6 authors.

Érico CarvalhoiBiMED-Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, 3800 Aveiro, Portugal.
Marta EstrelaiBiMED-Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, 3800 Aveiro, Portugal.ORCID 0000-0001-6123-3818
Maruxa Zapata-CachafeiroDepartment of Preventive Medicine and Public Health, University of Santiago de Compostela, 15702 Santiago de Compostela, Spain.
Adolfo FigueirasDepartment of Preventive Medicine and Public Health, University of Santiago de Compostela, 15702 Santiago de Compostela, Spain.
Fátima RoqueResearch Unit for Inland Development-Polytechnic of Guarda (UDI-IPG), 6300 Guarda, Portugal.ORCID 0000-0003-0169-3788
Maria Teresa HerdeiroiBiMED-Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, 3800 Aveiro, Portugal.ORCID 0000-0002-0500-4049

Funding

Fundação para a Ciência e a Tecnologia PTDC/SAU-SER/31678/2017
6 · The paper itself

Abstract

(1) Background: e-Health tools, especially in the form of clinical decision support systems (CDSSs), have been emerging more quickly than ever before. The main objective of this systematic review is to assess the influence of these tools on antibiotic use for respiratory tract infections. (2) Methods: The scientific databases, MEDLINE-PubMed and EMBASE, were searched. The search was conducted by two independent researchers. The search strategy was mainly designed to identify relevant studies on the effectiveness of CDSSs in improving antibiotic use, as a primary outcome, and on the acceptability and usability of CDSSs, as a secondary outcome. (3) Results: After the selection, 22 articles were included. The outcomes were grouped either into antibiotics prescription practices or adherence to guidelines concerning antibiotics prescription. Overall, 15 out of the 22 studies had statistically significant outcomes related to the interventions. (4) Conclusions: Overall, the results show a positive impact on the prescription and conscientious use of antibiotics for respiratory tract infections, both with respect to patients and prescribing healthcare professionals. CDSSs have been shown to have great potential as powerful tools for improving both clinical care and patient outcomes.

Indexed as

antimicrobial managementCDSSclinical decision support systeme-health

Identifiers

PMID32806583
PMCPMC7460242

What OpenQuestion holds

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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.