| Autor: |
Caroline Park, Omar Khan, Shruti Hegde, James Walker, Yash Kadakia, Emily Hofman, Sruthi Dubagunta, Daniel Awad, Kraigen Eisaman, Ifti Hossain, Bradley Sherman, Alex Najjar |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Trauma Surgery & Acute Care Open, Vol 8, Iss 1 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2397-5776 |
| DOI: |
10.1136/tsaco-2023-001131 |
| Popis: |
Objectives Simulation-based training leads to improved clinical performance but may be influenced by quality and frequency of training. Within simulation training, chest tube insertion remains a challenge as one of the main pitfalls of insertion is a controlled pleural entry. This study evaluates the efficacy of a novel training model with real-time pressure monitoring, the average force to pleural entry in a model and the utility of audio and visual feedback.Methods This proprietary training model comprised a modified Kelly clamp device with three force sensors at the index finger (sensor 1) and two finger loops (sensors 2 and 3), and a manikin with a replaceable chest wall pad. Standard force values (Newtons (N)) were obtained by experts; expert data revealed that 3–5 s was an acceptable time range to complete the chest tube insertion. Participant level ranged from Post-graduate Year (PGY)-1 to PGY-6 with 13 total participants. Each individual was provided an introduction to the procedure and chest tube trainer. Force (N) and time (ms) measurements were obtained from entry through dermis to pleural space puncture. A significant pressure drop suggested puncturing through the chest wall (completion of the procedure).Results Force data were captured during each phase of the procedure—linear, plateau, and drop. Linear phase (~3000 ms) was from start of procedure to point of maximum force ( |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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