Literature DB >> 20920859

Cost analysis and feasibility of high-fidelity simulation based radiology contrast reaction curriculum.

Jonelle M Petscavage1, Carolyn L Wang, Jennifer G Schopp, Angelisa M Paladin, Michael L Richardson, William H Bush.   

Abstract

RATIONALE AND
OBJECTIVES: Radiology residents have variable training in managing acute nonrenal adverse reactions to iodinated contrast media because of their rarity. Preliminary results show positive feedback and knowledge gain with high-fidelity simulation-based training. Financial costs and the time required to implement a high-fidelity simulation curriculum are higher than for a lecture series. The objective of this study was to provide a financial and time cost-benefit analysis for high-fidelity simulation training of acute adverse reactions to iodinated contrast media.
MATERIALS AND METHODS: Forty-four radiology residents were divided into lecture and simulation groups. Five simulation scenarios were created, with core education content mirrored in the lecture. Lengths of faculty time commitment and resident training were recorded. Financial costs, including manikin and simulation facility rates, were recorded and divided by the number of residents to obtain per resident simulation and lecture costs. A written evaluation of the experience, with Likert-type items and unstructured response items, was conducted.
RESULTS: Cost per resident for simulation training setup was $259.76, and $203.46 for subsequent years, compared to <$5 for lecture. Faculty time was 7 academic days for simulation versus 2 days for lecture format. Resident simulation commitment was 3 hours 30 minutes. Time to train technologists to run the simulation was 3 hours. All residents provided positive feedback regarding the simulation curriculum, with mean feedback scores statistically higher than lecture group (P < .05).
CONCLUSIONS: This study illustrates that financial costs of implementation are low compared to the potential cost of morbidity associated with the life-threatening event of an acute adverse reaction to iodinated contrast media. Published by Elsevier Inc.

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Year:  2011        PMID: 20920859     DOI: 10.1016/j.acra.2010.08.014

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  10 in total

1.  A randomized trial comparing didactics, demonstration, and simulation for teaching teamwork to medical residents.

Authors:  Matthew W Semler; Raj D Keriwala; Jennifer K Clune; Todd W Rice; Meredith E Pugh; Arthur P Wheeler; Alison N Miller; Arna Banerjee; Kyla Terhune; Julie A Bastarache
Journal:  Ann Am Thorac Soc       Date:  2015-04

Review 2.  Artificial intelligence for precision education in radiology.

Authors:  Michael Tran Duong; Andreas M Rauschecker; Jeffrey D Rudie; Po-Hao Chen; Tessa S Cook; R Nick Bryan; Suyash Mohan
Journal:  Br J Radiol       Date:  2019-07-26       Impact factor: 3.039

3.  Teaching management of contrast reactions: does it work and how often do we need to refresh?

Authors:  Andrew T Trout; Richard H Cohan; James H Ellis; Shokoufeh Khalatbari
Journal:  Acad Radiol       Date:  2012-04       Impact factor: 3.173

4.  [Simulation training as part of clinical risk management : A health economic view].

Authors:  T Speer; T Mühlbradt; C Fastner; O Schöffski; S Schröder
Journal:  Anaesthesist       Date:  2019-02-07       Impact factor: 1.041

5.  Resident Perceptions and Cost Analysis of a Virtual Patient Application for Anesthesia-Related Critical Incidents.

Authors:  Howard A Schwid; Karen J Souter
Journal:  J Educ Perioper Med       Date:  2014-07-01

6.  High-fidelity simulation training improves resident knowledge of contrast reaction management, especially for junior residents.

Authors:  Danielle E Kruse; Geoffrey Scriver; Ryan Walsh
Journal:  Eur J Radiol Open       Date:  2022-10-11

7.  Multimodal In-training Examination in an Emergency Medicine Residency Training Program: A Longitudinal Observational Study.

Authors:  Pin Liu; Shou-Yen Chen; Yu-Che Chang; Chip-Jin Ng; Chung-Hsien Chaou
Journal:  Front Med (Lausanne)       Date:  2022-03-09

8.  Effect of High-Fidelity Simulation on Medical Students' Knowledge about Advanced Life Support: A Randomized Study.

Authors:  Andrea Cortegiani; Vincenzo Russotto; Francesca Montalto; Pasquale Iozzo; Cesira Palmeri; Santi Maurizio Raineri; Antonino Giarratano
Journal:  PLoS One       Date:  2015-05-08       Impact factor: 3.240

9.  Comparison of simulation debriefs with traditional needs assessment methods: a qualitative exploratory study in a critical care community setting.

Authors:  Aimee J Sarti; Rola Ajjawi; Stephanie Sutherland; Angele Landriault; John Kim; Pierre Cardinal
Journal:  BMJ Open       Date:  2018-10-08       Impact factor: 2.692

10.  Use of Virtual Reality for Pediatric Cardiac Critical Care Simulation.

Authors:  Bradford H Ralston; Renee C Willett; Srihari Namperumal; Nina M Brown; Heather Walsh; Ricardo A Muñoz; Sylvia Del Castillo; Todd P Chang; Gregory K Yurasek
Journal:  Cureus       Date:  2021-06-23
  10 in total

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