Evidence map›Paper›PMID 30568986›Full record

ArticleOpen forum infectious diseases2018

Semi-Automated Visualization and ANalysis of Trends: A "SAVANT" for Facilitating Antimicrobial Stewardship Using Antistaphylococcal Resistance and Consumption as a Prototype.

Robert J Clifford, Uzo Chukwuma, Michael E Sparks, Douglas Richesson, Charlotte V Neumann, Paige E Waterman, Jacob Moran-Gilad, Michael D Julius, Mary K Hinkle, Emil P Lesho

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Open forum infectious diseases, 2018. 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
0.2field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

10 authors at 5 institutions in 2 countries.

Robert J CliffordMultidrug-Resistant Organism Repository and Surveillance Network, Walter Reed Army Institute of Research, Silver Spring, Maryland.
Uzo ChukwumaEpiData Center Department, Navy and Marine Corps Public Health Center, Portsmouth, Virginia.
Michael E SparksMultidrug-Resistant Organism Repository and Surveillance Network, Walter Reed Army Institute of Research, Silver Spring, Maryland.
Douglas RichessonMultidrug-Resistant Organism Repository and Surveillance Network, Walter Reed Army Institute of Research, Silver Spring, Maryland.
Charlotte V NeumannEpiData Center Department, Navy and Marine Corps Public Health Center, Portsmouth, Virginia.
Paige E WatermanGlobal Emerging Infections Surveillance, Armed Forces Health Surveillance Center, Silver Spring, Maryland.
Jacob Moran-GiladFaculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Michael D JuliusMultidrug-Resistant Organism Repository and Surveillance Network, Walter Reed Army Institute of Research, Silver Spring, Maryland.
Mary K HinkleMultidrug-Resistant Organism Repository and Surveillance Network, Walter Reed Army Institute of Research, Silver Spring, Maryland.
Emil P LeshoInfectious Diseases Unit, Rochester Regional Health, Rochester, New York.
Walter Reed Army Institute of Research · USNavy and Marine Corps Force Health Protection Command · USArmed Forces Health Surveillance Center · USBen-Gurion University of the Negev · ILUnity Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGovernments and health care regulators now require hospitals and nursing homes to establish programs to monitor and report antimicrobial consumption and resistance. However, additional resources were not provided. We sought to develop an approach for monitoring antimicrobial resistance and consumption that health care systems can implement with minimal added costs or modifications to existing diagnostic and informatics infrastructure.

methodsUsing (1) the electronic laboratory information system of a nationwide managed care network, (2) the 3 most widely used commercial microbiology diagnostic platforms, and (3)

resultsAll laboratory results from January 2010 through December 2015 from an annual average of 9.2 million health care beneficiaries were queried. Inpatient and outpatient prescription rates were calculated for 8 key antistaphylococcal compounds. Trends and relationships of antistaphylococcal consumption and resistance among 81 840 unique

conclusionsUsing existing or freely available resources, SAVANT was successfully implemented across a complex and geographically dispersed 280-hospital network, bridging a critical gap between medical informatics, large-scale data analytics, and mandatory reporting of health care quality metrics.

Indexed as

antibiotic consumption and resistanceantimicrobial stewardshipinformaticsStaphylococcus aureus

Identifiers

PMID30568986
PMCPMC5909431
OpenAlexW2791743599

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.