Title |
Simulation in teaching regional anesthesia: current perspectives
|
---|---|
Published in |
Local and Regional Anesthesia , August 2015
|
DOI | 10.2147/lra.s68223 |
Pubmed ID | |
Authors |
Ankeet D Udani, T Edward Kim, Steven K Howard, Edward R Mariano |
Abstract |
The emerging subspecialty of regional anesthesiology and acute pain medicine represents an opportunity to evaluate critically the current methods of teaching regional anesthesia techniques and the practice of acute pain medicine. To date, there have been a wide variety of simulation applications in this field, and efficacy has largely been assumed. However, a thorough review of the literature reveals that effective teaching strategies, including simulation, in regional anesthesiology and acute pain medicine are not established completely yet. Future research should be directed toward comparative-effectiveness of simulation versus other accepted teaching methods, exploring the combination of procedural training with realistic clinical scenarios, and the application of simulation-based teaching curricula to a wider range of learner, from the student to the practicing physician. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 21 | 41% |
Canada | 7 | 14% |
United Kingdom | 5 | 10% |
Mexico | 2 | 4% |
Argentina | 1 | 2% |
Saudi Arabia | 1 | 2% |
Malaysia | 1 | 2% |
Unknown | 13 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 22 | 43% |
Practitioners (doctors, other healthcare professionals) | 20 | 39% |
Scientists | 6 | 12% |
Science communicators (journalists, bloggers, editors) | 3 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Austria | 1 | 1% |
Unknown | 74 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 13 | 17% |
Student > Doctoral Student | 9 | 12% |
Researcher | 7 | 9% |
Student > Master | 7 | 9% |
Student > Postgraduate | 5 | 7% |
Other | 17 | 22% |
Unknown | 18 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 39 | 51% |
Nursing and Health Professions | 5 | 7% |
Business, Management and Accounting | 2 | 3% |
Engineering | 2 | 3% |
Computer Science | 1 | 1% |
Other | 6 | 8% |
Unknown | 21 | 28% |