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Impact on process results of clinical decision support systems (CDSSs) applied to medication use: overview of systematic reviews

Overview of attention for article published in Pharmacy Practice (Granada), December 2017
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Title
Impact on process results of clinical decision support systems (CDSSs) applied to medication use: overview of systematic reviews
Published in
Pharmacy Practice (Granada), December 2017
DOI 10.18549/pharmpract.2017.04.1036
Pubmed ID
Authors

Wálleri C. Reis, Aline F. Bonetti, Wallace E. Bottacin, Alcindo S. Reis, Thaís T. Souza, Roberto Pontarolo, Cassyano J. Correr, Fernando Fernandez-Llimos

Abstract

The purpose of this overview (systematic review of systematic reviews) is to evaluate the impact of clinical decision support systems (CDSS) applied to medication use in the care process. A search for systematic reviews that address CDSS was performed on Medline following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Cochrane recommendations. Terms related to CDSS and systematic reviews were used in combination with Boolean operators and search field tags to build the electronic search strategy. There was no limitation of date or language for inclusion. We included revisions that investigated, as a main or secondary objective, changes in process outcomes. The Revised Assessment of Multiple Systematic Reviews (R-AMSTAR) score was used to evaluate the quality of the studies. The search retrieved 954 articles. Five articles were added through manual search, totaling an initial sample of 959 articles. After screening and reading in full, 44 systematic reviews met the inclusion criteria. In the medication-use processes where CDSS was used, the most common stages were prescribing (n=38 (86.36%) and administering (n=12 (27.27%)). Most of the systematic reviews demonstrated improvement in the health care process (30/44 - 68.2%). The main positive results were related to improvement of the quality of prescription by the physicians (14/30 - 46.6%) and reduction of errors in prescribing (5/30 - 16.6%). However, the quality of the studies was poor, according to the score used. CDSSs represent a promising technology to optimize the medication-use process, especially related to improvement in the quality of prescriptions and reduction of prescribing errors, although higher quality studies are needed to establish the predictors of success in these systems.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 13%
Student > Master 11 11%
Student > Ph. D. Student 10 10%
Student > Bachelor 9 9%
Librarian 5 5%
Other 25 24%
Unknown 30 29%
Readers by discipline Count As %
Medicine and Dentistry 18 17%
Nursing and Health Professions 13 13%
Pharmacology, Toxicology and Pharmaceutical Science 11 11%
Computer Science 5 5%
Engineering 4 4%
Other 13 13%
Unknown 39 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 January 2018.
All research outputs
#23,154,082
of 25,806,080 outputs
Outputs from Pharmacy Practice (Granada)
#260
of 315 outputs
Outputs of similar age
#391,830
of 451,687 outputs
Outputs of similar age from Pharmacy Practice (Granada)
#4
of 5 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 315 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.