Omid Khalilzadeh1, Mark O Baerlocher2, Paul B Shyn3, Bairbre L Connolly4, A Michael Devane5, Christopher S Morris6, Alan M Cohen7, Mehran Midia8, Raymond H Thornton9, Kathleen Gross10, Drew M Caplin11, Gunjan Aeron12, Sanjay Misra13, Nilesh H Patel14, T Gregory Walker15, Gloria Martinez-Salazar15, James E Silberzweig1, Boris Nikolic16. 1. Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York. 2. Department of Radiology, Royal Victoria Hospital, Barrie, Ontario, Canada. 3. Department of Radiology, Brigham & Women's Hospital, Boston, Massachusetts. 4. Department of Radiology, Hospital for Sick Children, Toronto, Ontario, Canada. 5. Department of Radiology, Greenville Health System University Medical Group, Greenville, South Carolina. 6. Department of Radiology, University of Vermont Medical Center, Burlington, Vermont. 7. Department of Radiology, McGovern School of Medicine, University of Texas, Houston, Texas. 8. Department of Radiology, McMaster University, Hamilton, Ontario, Canada. 9. Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, New York. 10. Department of Radiology, Greater Baltimore Medical, Owings Mills, Maryland. 11. Department of Radiology, Hofstra Northwell School of Medicine, Manhasset, New York. 12. Department of Radiology, Veterans Affairs Medical Center, Providence, Rhode Island. 13. Department of Radiology, Mayo Clinic & Foundation, Rochester, Minnesota. 14. Department of Radiology, Northwestern Medicine-Central DuPage Hospital, Winfield, Illinois. 15. Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts. 16. Department of Radiology, Stratton Medical Center, 113 Holland Ave., Albany, NY 12208. Electronic address: nikolicboris@ymail.com.
Abstract
PURPOSE: To develop a new adverse event (AE) classification for the interventional radiology (IR) procedures and evaluate its clinical, research, and educational value compared with the existing Society of Interventional Radiology (SIR) classification via an SIR member survey. MATERIALS AND METHODS: A new AE classification was developed by members of the Standards of Practice Committee of the SIR. Subsequently, a survey was created by a group of 18 members from the SIR Standards of Practice Committee and Service Lines. Twelve clinical AE case scenarios were generated that encompassed a broad spectrum of IR procedures and potential AEs. Survey questions were designed to evaluate the following domains: educational and research values, accountability for intraprocedural challenges, consistency of AE reporting, unambiguity, and potential for incorporation into existing quality-assurance framework. For each AE scenario, the survey participants were instructed to answer questions about the proposed and existing SIR classifications. SIR members were invited via online survey links, and 68 members participated among 140 surveyed. Answers on new and existing classifications were evaluated and compared statistically. Overall comparison between the two surveys was performed by generalized linear modeling. RESULTS: The proposed AE classification received superior evaluations in terms of consistency of reporting (P < .05) and potential for incorporation into existing quality-assurance framework (P < .05). Respondents gave a higher overall rating to the educational and research value of the new compared with the existing classification (P < .05). CONCLUSIONS: This study proposed an AE classification system that outperformed the existing SIR classification in the studied domains.
PURPOSE: To develop a new adverse event (AE) classification for the interventional radiology (IR) procedures and evaluate its clinical, research, and educational value compared with the existing Society of Interventional Radiology (SIR) classification via an SIR member survey. MATERIALS AND METHODS: A new AE classification was developed by members of the Standards of Practice Committee of the SIR. Subsequently, a survey was created by a group of 18 members from the SIR Standards of Practice Committee and Service Lines. Twelve clinical AE case scenarios were generated that encompassed a broad spectrum of IR procedures and potential AEs. Survey questions were designed to evaluate the following domains: educational and research values, accountability for intraprocedural challenges, consistency of AE reporting, unambiguity, and potential for incorporation into existing quality-assurance framework. For each AE scenario, the survey participants were instructed to answer questions about the proposed and existing SIR classifications. SIR members were invited via online survey links, and 68 members participated among 140 surveyed. Answers on new and existing classifications were evaluated and compared statistically. Overall comparison between the two surveys was performed by generalized linear modeling. RESULTS: The proposed AE classification received superior evaluations in terms of consistency of reporting (P < .05) and potential for incorporation into existing quality-assurance framework (P < .05). Respondents gave a higher overall rating to the educational and research value of the new compared with the existing classification (P < .05). CONCLUSIONS: This study proposed an AE classification system that outperformed the existing SIR classification in the studied domains.
Authors: Rebecca Zener; Hyukjun Yoon; Etay Ziv; Anne Covey; Karen T Brown; Constantinos T Sofocleous; Raymond H Thornton; F Edward Boas Journal: Cardiovasc Intervent Radiol Date: 2019-01-09 Impact factor: 2.740
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