| Literature DB >> 33870310 |
Whitney D Gannon1, Yuliya Tipograf2, John W Stokes3, Lynne Craig4, Matthew W Semler1, Todd W Rice1, Ashish S Shah4, Matthew Bacchetta4,5.
Abstract
Background: Despite the rapid integration of extracorporeal membrane oxygenation (ECMO) into intensive care units over the past decade, established programs for training critical care clinicians to provide ECMO are lacking. Objective: To evaluate the development and implementation of a multidisciplinary ECMO training program for the rapid deployment of ECMO training for a high volume of critical care clinicians.Entities:
Keywords: critical care; education; intensive care units
Year: 2020 PMID: 33870310 PMCID: PMC8015764 DOI: 10.34197/ats-scholar.2020-0028IN
Source DB: PubMed Journal: ATS Sch ISSN: 2690-7097
Figure 1.Clinical algorithm for initial ventilator and extracorporeal membrane oxygenation setup for patients receiving venovenous extracorporeal membrane oxygenation for acute respiratory distress syndrome. ABG = arterial blood gas; ARDS = acute respiratory distress syndrome; bpm = breaths per minute; FdO = fraction of delivered oxygenation; FiO = fraction of inspired oxygen; LPM = liters per minute; NMBA = neuromuscular blocking agent; PC = pressure control; PEEP = peak end-expiratory pressure; Pi = driving pressure; RR = respiratory rate; VC = volume control; Vt = tidal volume; VV-ECMO = venovenous extracorporeal membrane oxygenation.
Participant characteristics
| Total ( | Department | |||
|---|---|---|---|---|
| Medicine ( | Surgery ( | Anesthesia ( | ||
| Physicians | 49 (50.5) | 19 (65.5) | 15 (35.7) | 15 (57.7) |
| Attendings | 15 (15.5) | 5 (17.2) | 5 (11.9) | 5 (19.2) |
| Fellows | 32 (32.0) | 14 (48.3) | 8 (19.1) | 10 (38.5) |
| Residents | 2 (2.1) | — | 2 (4.8) | — |
| Nonphysicians | 48 (49.5) | 10 (34.5) | 27 (64.3) | 11 (42.3) |
| Advanced practice nurses | 44 (45.4) | 10 (34.5) | 25 (59.5) | 9 (34.6 |
| Physician's assistants | 2 (2.1) | — | — | 2 (7.7) |
| Nurses | 2 (2.1) | — | 2 (4.8) | — |
Data are expressed as number of participants (%). Percentages may not add to 100 because of rounding.
Figure 2.Box-and-whisker plots of pre- and post-program examination scores among 54 participants.
Differences in proportion of each question answered correctly
| Preprogram Exam ( | Post-program Exam ( | ||
|---|---|---|---|
| Question 1 | 35 (59.3) | 49 (90.7) | <0.001 |
| Question 2 | 29 (49.2) | 51 (94.4) | <0.001 |
| Question 3 | 46 (78.0) | 50 (92.6) | 0.01 |
| Question 4 | 39 (66.1) | 45 (83.3) | 0.03 |
| Question 5 | 29 (49.2) | 44 (81.5) | <0.001 |
| Question 6 | 53 (89.8) | 54 (100) | 0.03 |
| Question 7 | 16 (27.1) | 26 (48.1) | 0.01 |
| Question 8 | 58 (98.3) | 54 (100) | 0.32 |
| Question 9 | 46 (78.0) | 43 (79.6) | 1.0 |
| Question 10 | 56 (94.9) | 53 (98.1) | 0.32 |
Data are expressed as number of participants answered correctly (%).