Evidence map›Paper›PMID 30214102›Full record

ArticleIranian journal of medical sciences2018

National Minimum Data Set for Antimicrobial Resistance Management: Toward Global Surveillance System.

Reza Safdari, Marjan Ghazi Saeedi, Hossein Masoumi-Asl, Peyman Rezaei-Hachesu, Kayvan Mirnia, Niloofar Mohammadzadeh, Taha Samad-Soltani

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of medical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Key Recommendations for Antimicrobial Resistance Surveillance: Takeaways From the CAPTURA Project.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  4. Review
  5. Article
  6. Article
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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

7 authors at 3 institutions in 1 country.

Reza SafdariDepartment of Health Information Technology, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Marjan Ghazi SaeediDepartment of Health Information Technology, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Hossein Masoumi-AslCenter for Communicable Diseases Control, Ministry of Health and Medical Education, Tehran, Iran.
Peyman Rezaei-HachesuDepartment of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.
Kayvan MirniaDepartment of Neonatology, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Niloofar MohammadzadehDepartment of Health Information Technology, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Taha Samad-SoltaniDepartment of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.
Tabriz University of Medical Sciences · IRTehran University of Medical Sciences · IRMinistry of Health and Medical Education · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuccess of infection treatment depends on the availability of accurate, reliable, and comprehensive data, information, and knowledge at the point of therapeutic decision-making. The identification of a national minimum data set will support the development and implementation of an effective surveillance system. The goal of this study was to develop a national antimicrobial resistance surveillance minimum data set.

methodsIn this cross-sectional and descriptive study, data were collected from selected pioneering countries and organizations which have national or international antimicrobial resistance surveillance systems. A minimum data set checklist was extracted and validated. The ultimate data elements of the minimum data set were determined by applying the Delphi technique.

resultsThrough the Delphi technique, we obtained 80 data elements in 8 axes. The resistance data categories comprised basic, clinical, electronic reporting, infection control, microbiology, pharmacy, World Health Organization-derived, and expert-recommended data. Relevance coding was extracted based on the Iranian electronic health record coding system.

conclusionThis study provides a set of data elements and a schematic framework for the implementation of an antimicrobial resistance surveillance system. A uniform minimum data set was created based on key informants' opinions to cover essential needs in the early implementation of a global antimicrobial resistance surveillance system in Iran.

Indexed as

BiosurveillanceDatasetDrug resistanceGlobal healthIranMicrobial

Identifiers

PMID30214102
PMCPMC6123552
OpenAlexW2791394794

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.