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Safdari, Reza, Ghazi Saeedi, Marjan, Masoumi-Asl, Hossein, Rezaei-Hachesu, Peyman, Mirnia, Kayvan, Mohammadzadeh, Niloofar, Samad-Soltani, Taha. (1397). National Minimum Data Set for Antimicrobial Resistance Management: Toward Global Surveillance System. سامانه مدیریت نشریات علمی, 43(5), 494-505. doi: 10.30476/ijms.2018.40570
Reza Safdari; Marjan Ghazi Saeedi; Hossein Masoumi-Asl; Peyman Rezaei-Hachesu; Kayvan Mirnia; Niloofar Mohammadzadeh; Taha Samad-Soltani. "National Minimum Data Set for Antimicrobial Resistance Management: Toward Global Surveillance System". سامانه مدیریت نشریات علمی, 43, 5, 1397, 494-505. doi: 10.30476/ijms.2018.40570
Safdari, Reza, Ghazi Saeedi, Marjan, Masoumi-Asl, Hossein, Rezaei-Hachesu, Peyman, Mirnia, Kayvan, Mohammadzadeh, Niloofar, Samad-Soltani, Taha. (1397). 'National Minimum Data Set for Antimicrobial Resistance Management: Toward Global Surveillance System', سامانه مدیریت نشریات علمی, 43(5), pp. 494-505. doi: 10.30476/ijms.2018.40570
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. سامانه مدیریت نشریات علمی, 1397; 43(5): 494-505. doi: 10.30476/ijms.2018.40570

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

Iranian Journal of Medical Sciences
مقاله 6، دوره 43، شماره 5، آذر 2018، صفحه 494-505    اصل مقاله (447.55 K)
نوع مقاله: Original Article(s)
شناسه دیجیتال (DOI): 10.30476/ijms.2018.40570
نویسندگان
Reza Safdari1؛ Marjan Ghazi Saeedi1؛ Hossein Masoumi-Asl2؛ Peyman Rezaei-Hachesu3؛ Kayvan Mirnia4؛ Niloofar Mohammadzadeh1؛ Taha Samad-Soltani* 3
1Department of Health Information Technology, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
2Center for Communicable Diseases Control, Ministry of Health and Medical Education, Tehran, Iran
3Department of Health Information Technology, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
4Department of Neonatology, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
چکیده
Background: Success 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. 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.
کلیدواژه‌ها
Drug Resistance؛ Microbial؛ Dataset؛ Biosurveillance؛ Global health؛ Iran
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