مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Information Journal Paper

Title

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

Pages

  494-505

Abstract

 Background: Success of infection treatment depends on the availability of accurate, reliable, and comprehensive data, information, and knowledge at the point of therapeutic decisionmaking. 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. Methods: In 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. Results: Through 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. Conclusion: This 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.

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    • Cite

    APA: Copy

    SAFDARI, REZA, GHAZI SAEEDI, MARJAN, MASOUMI ASL, HOSSEIN, Rezaei hachesu, Peyman, MIRNIA, KAYVAN, MOHAMMADZADEH, NILOOFAR, & Samad Soltani, Taha. (2018). National Minimum Data Set for Antimicrobial Resistance Management: Toward Global Surveillance System. IRANIAN JOURNAL OF MEDICAL SCIENCES (IJMS), 43(5), 494-505. SID. https://sid.ir/paper/748964/en

    Vancouver: Copy

    SAFDARI REZA, GHAZI SAEEDI MARJAN, MASOUMI ASL HOSSEIN, Rezaei hachesu Peyman, MIRNIA KAYVAN, MOHAMMADZADEH NILOOFAR, Samad Soltani Taha. National Minimum Data Set for Antimicrobial Resistance Management: Toward Global Surveillance System. IRANIAN JOURNAL OF MEDICAL SCIENCES (IJMS)[Internet]. 2018;43(5):494-505. Available from: https://sid.ir/paper/748964/en

    IEEE: Copy

    REZA SAFDARI, MARJAN GHAZI SAEEDI, HOSSEIN MASOUMI ASL, Peyman Rezaei hachesu, KAYVAN MIRNIA, NILOOFAR MOHAMMADZADEH, and Taha Samad Soltani, “National Minimum Data Set for Antimicrobial Resistance Management: Toward Global Surveillance System,” IRANIAN JOURNAL OF MEDICAL SCIENCES (IJMS), vol. 43, no. 5, pp. 494–505, 2018, [Online]. Available: https://sid.ir/paper/748964/en

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