technology to fast-track learning in regional anesthesia

42
@EMARIANOMD @@EMARIANOMD Technology to Fast- Track Learning in Regional Anesthesia Edward R. Mariano, M.D., M.A.S. Professor of Anesthesiology, Perioperative & Pain Medicine Stanford University School of Medicine Chief, Anesthesiology and Perioperative Care Veterans Affairs Palo Alto Health Care System

Upload: edward-r-mariano-md

Post on 20-Mar-2017

253 views

Category:

Education


3 download

TRANSCRIPT

Page 1: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

@@EMARIANOMD

Technology to Fast-Track Learning in

Regional AnesthesiaEdward R. Mariano, M.D., M.A.S.

Professor of Anesthesiology, Perioperative & Pain MedicineStanford University School of Medicine

Chief, Anesthesiology and Perioperative CareVeterans Affairs Palo Alto Health Care System

Page 2: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Financial Disclosures

• Halyard Health, B Braun – Unrestricted educational program funding paid to my institution

The contents of the following presentation are solely the responsibility of the speaker without input from any of the above companies.

Page 3: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Overview

• The “learning curve” • Technology for teaching and learning• Technology for assessment

Page 4: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Overview

• The “learning curve” • Technology for teaching and learning• Technology for assessment

Page 5: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

How Hard Can It Be?

NYSORA.COM -

Page 6: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

The “10,000 Hours Rule”

Page 7: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Deliberate Practice

Ericsson. Acad Emerg Med 2008;15:988

Page 8: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Regional Anesthesia “Learning Curve”

Reg Anesth. 1996;21:182

Page 9: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Learning Curve for UGRA

RAPM 2004;29:544

Page 10: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Novice Behavior

• 520 ultrasound-guided nerve block captured on video and reviewed– 7 errors: needle not visualized, inadequate

equipment preparation, poor ergonomics, target malpositioning on screen, unintentional probe movement, awkward hand position on needle, and excessive visual focus on hands

• By the 60th block, still 2.8 errors per block

Sites, et al. RAPM 2007;32:107

Page 11: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Barrington, et al. RAPM 2012;37:334

Page 12: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Udani & Mariano, et al. RAPM 2016;41:151

Avg 7 (2–22 min)for the control group vs. 48 (29–65 min) for the DP group (p<0.001).

No other differences!

Page 13: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Predictors of Learning UGRA

Shafqat, et al. Anesth 2015;123:1188

Page 14: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Predictors of Learning UGRA

Shafqat, et al. Anesth 2015;123:1188

Maybe we are not all the same!

Page 15: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Overview

• The “learning curve” • Technology for teaching and learning• Technology for assessment

Page 16: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Udani & Mariano, et al. Local Reg Anesth 2015;8:33

Page 17: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

What Is “Simulation”?

79 articles involving simulation were reviewed:1. Simulation-based educational interventions

(14)2. Novel simulator design (18)3. Use of a simulated environment as an

experimental setting (11)4. Other/outside scope of review (36)

Udani & Mariano, et al. Local Reg Anesth 2015;8:33

Page 18: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Udani & Mariano, et al. Local Reg Anesth 2015;8:33

Studies of Simulation Interventions

Page 19: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Udani & Mariano, et al. Local Reg Anesth 2015;8:33

Studies of Simulator Design

Page 20: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Udani & Mariano, et al. Local Reg Anesth 2015;8:33

Inorganic Simulator

Page 21: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Udani & Mariano, et al. Local Reg Anesth 2015;8:33

Organic Simulator

Page 22: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

“Hybrid” Simulator

Udani & Mariano, et al. Local Reg Anesth 2015;8:33

Page 23: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Ramlogan R, et al. RAPM 2017;42: 217http://www.pie.med.utoronto.ca/VSpine/index.htm

NEW!

Page 24: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Udani & Mariano, et al. Local Reg Anesth 2015;8:33

Studies Using a Simulation Setting

Page 25: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Anesthesiology-DirectedAdvancedProcedural Training

Page 26: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Lectures,

Scanning

Iterative Practice,Simulatio

n

8 Hour Program

Mariano, et al. JUM 2015;34:1883

Page 27: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Mariano, et al. JUM 2015;34:1883

Page 28: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Echogenic Technology

Mariano, et al. JUM 2014;33:905

Page 29: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Needle Guidance Systems

McVicar, et al. RAPM 2015;40:150

Page 30: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Overview

• The “learning curve” • Technology for teaching and learning• Technology for assessment

Page 31: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

AssessmentCategory Description Points Procedural Time (min) Starting when US probe touches skin and ending when

placement needle is removed 2 (≤5 min) 1 (6-10 min) 0 (>10 min)

Needle Passes (#) Withdrawal of the placement needle >1 cm with readvancement 2 (1) 1 (2) 0 (>2)

Procedural Performance

Needle visualization during advancement 2 (All the time) 1 (Part of the time) 0 (None of the time)

Equipment preparation (e.g., probe selection, machine settings) 2 (Excellent) 1 (Good) 0 (Poor)

Target positioning (eg, able to see target and feasible needle trajectory)

2 (All the time) 1 (Part of the time) 0 (None of the time)

Probe stability (eg, no unintentional movement) 2 (All the time) 1 (Part of the time) 0 (None of the time)

Needle manipulation (eg, comfortable grip on needle and catheter)

2 (All the time) 1 (Part of the time) 0 (None of the time)

Visual focus (eg, appropriately focused on machine and not hands during procedure)

2 (All the time) 1 (Part of the time) 0 (None of the time)

Confirmation of proper injectate spread 2 (Excellent) 1 (Good) 0 (Poor)

Confirmation of proper catheter tip position 2 (Excellent) 1 (Good) 0 (Poor)

Ergonomic Factors Positioning of ultrasound machine 2 (Excellent) 1 (Good) 0 (Poor)

No thoracolumbar flexion (≥45 ) 2 (All the time) 1 (Part of the time) 0 (None of the time)

No head/neck rotation (≥45 ) 2 (All the time) 1 (Part of the time) 0 (None of the time)

No lateral shoulder tilt (≥30 ) 2 (All the time) 1 (Part of the time) 0 (None of the time)

No crossing sterile field to non-dominant side 2 (All the time) 1 (Part of the time) 0 (None of the time)

Mariano, et al. JUM 2015;34:1883

Page 32: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

DOPS

Wragg, et al. Clin Med 2003;3:131Watson, et al. Anaesth 2014;69:604Chuan, et al. Anaesth Int Care 2016;44:2

Page 33: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

DOPS

Wragg, et al. Clin Med 2003;3:131Watson, et al. Anaesth 2014;69:604Chuan, et al. Anaesth Int Care 2016;44:2

Page 34: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Global Rating Scale

Cheung, et al. RAPM 2012;37: 329Wong, et al. RAPM 2014;39:399

Page 35: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Video Recording and Review

Page 36: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Hand Motion Analysis

Chin, et al. RAPM 2011;36:213

Page 37: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Eye Tracking

Harrison & Mariano, et al. J Anesth 2015;30:530

The Expert94 sec

1.85 fixations/sec

The Novice257 sec

0.86 fixations/sec

Page 38: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

J Anesth 2015;30:530

How Does Expertise Look?

Can We Quantify It?

Page 39: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Borg & Mariano, et al. Submitted

Page 40: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

Summary

We discussed:• The “learning curve” • Technology for teaching and learning• Technology for assessment

Page 41: Technology to Fast-Track Learning in Regional Anesthesia

@EMARIANOMD

“Regional anesthesia is a vital skill for any anesthesiologist and ultrasound-guided techniques have enhanced our ability to achieve effective and consistent blocks. It is important that we ensure our graduating residents have the requisite skills to perform basic regional techniques in a safe and effective manner in order to disseminate the benefits of regional anesthesia to the broader surgical population.”

McCartney & Mariano. RAPM 2016;41:663.

Page 42: Technology to Fast-Track Learning in Regional Anesthesia

www.asra.com

April 19–21, 2018New York Marriott

MarquisNew York City, USA

www.asra.com/World-Congress