Literature DB >> 29785148

The use of augmented reality glasses in central line simulation: "see one, simulate many, do one competently, and teach everyone".

Cynthia Y Huang1, Jonathan B Thomas2, Abdullah Alismail3, Avi Cohen1, Waleed Almutairi3, Noha S Daher4, Michael H Terry5, Laren D Tan1,3.   

Abstract

OBJECTIVE: The aim of this study was to investigate the feasibility of using augmented reality (AR) glasses in central line simulation by novice operators and compare its efficacy to standard central line simulation/teaching.
DESIGN: This was a prospective randomized controlled study enrolling 32 novice operators. Subjects were randomized on a 1:1 basis to either simulation using the augmented virtual reality glasses or simulation using conventional instruction.
SETTING: The study was conducted in tertiary-care urban teaching hospital.
SUBJECTS: A total of 32 adult novice central line operators with no visual or auditory impairments were enrolled. Medical doctors, respiratory therapists, and sleep technicians were recruited from the medical field.
MEASUREMENTS AND MAIN RESULTS: The mean time for AR placement in the AR group was 71±43 s, and the time to internal jugular (IJ) cannulation was 316±112 s. There was no significant difference in median (minimum, maximum) time (seconds) to IJ cannulation for those who were in the AR group and those who were not (339 [130, 550] vs 287 [35, 475], p=0.09), respectively. There was also no significant difference between the two groups in median total procedure time (524 [329, 792] vs 469 [198, 781], p=0.29), respectively. There was a significant difference in the adherence level between the two groups favoring the AR group (p=0.003).
CONCLUSION: AR simulation of central venous catheters in manikins is feasible and efficacious in novice operators as an educational tool. Future studies are recommended in this area as it is a promising area of medical education.

Entities:  

Keywords:  augmented reality; central line; medical education; simulation

Year:  2018        PMID: 29785148      PMCID: PMC5953413          DOI: 10.2147/AMEP.S160704

Source DB:  PubMed          Journal:  Adv Med Educ Pract        ISSN: 1179-7258


Introduction

A central venous catheter (CVC) is frequently used with more than 5 million that are sold each year in the USA alone1 and is used for hemodynamic monitoring as well as the administration of fluids and medications that cannot be otherwise administered through a peripheral vein. Education regarding the use of intravascular devices and proper insertion technique is recommended by the Center for Disease Control and Prevention (CDC) and Healthcare Infection Control Practices Advisory Committee guidelines.2 Despite the integration of bedside ultrasound into the standard of practice,3 the immediate complication rates still range from 4% to 7%4 with up to a 12% complication rate in inexperienced operators (compared to 0% in experienced operators).5 The classic teaching model in CVC insertion is “see one, do one, teach one,”6–8 but learning such complex skills, which themselves have risks to the patients, for the first time in the complex work environment where there are many distractions and competing factors is suboptimal.9 It is an ethical dilemma and spotlights the balance of risk to the patient while providing education for the novice medical professional;10 prior studies from the Institute of Medicine have shown that deaths due to medical errors exceed death from motor vehicle accidents.11 Simulation-based learning has been shown to reduce complications12,13 and is now an integral part of medical education. It allows for teaching of complex skills in a controlled environment, one away from the judgment or anxiety of dealing with a real patient, it affords learners the ability to make errors without any real-life adverse consequences, and it provides instructors who are focused completely on their education.9 Specific to CVC insertion, simulation has been shown to improve procedural knowledge, adherence with a standard protocol checklist, and safety elements (and thus decreasing the rate of catheter-related bloodstream infections from 3.20 per 1,000 catheter days to 0.50 per 1,000 catheter days14). However, subjects still fail to wash their hands, prepare with chlorhexidine, drape the patient using sterile technique, anesthetize the site, and perform a preprocedure time-out.15 These items have been proven to be integral to procedural safety and prevention of catheter-related bloodstream infections.2 Government organizations, such as Medicare, no longer reimburse for preventable central line placement complications.16 Thus, the minimization of complications is essential—both for the patient and for the utilization of resources. Augmented reality (AR) is defined as “technology” that merges the real- and virtual-world experience.17,18 AR is one of the key emerging technologies in education19,20 and has already been studied in teaching surgical techniques.21–24 The use of AR to augment current CVC simulation-based teaching would provide standardized real-time instruction as well as increase compliance with the recommended bundle. By using a virtual interface to provide a 1) review checklist (Table 1, data from the Joint Commission25) and 2) real-time instruction, it can better ensure that the novice user has the necessary equipment and is learning as well as performing standard of practice care (quality indicators, ie, sterile field). Thus, the goal with the advent of AR technology is for medical trainees to “see one, simulate many, do one competently, and teach everyone.”
Table 1

Checklist

Sterile field maintained
Each lumen of catheter flushed with saline prior to placement
Catheter caps placed on all lumens
All lumens clamped
Confirmation of venous placement of guidewire prior to dilatation of vein by ultrasound
Blood aspirated from each lumen
Catheter secured
Sterile dressing applied (gauze, transparent dressing, gauze and transparent dressing, antimicrobial foam disk)
Confirmation of catheter placement by chest X-ray
Qualified second operator obtained after three unsuccessful sticks

Note: Data from the Joint Commission.25

The purpose of this study was to investigate the feasibility and effectiveness of the use of AR glasses on CVC placement in selected health-care professionals. The study outcome measures were time of procedure completion and the subject’s feedback on the future use of AR in CVC. We hypothesized that the AR simulation-based CVC insertion training will decrease complication rates and increase compliance with quality indicator measures by providing real-time feedback as well as unifying all the important information onto one screen for the provider.

Subjects and methods

Protocol

A total of 32 subjects were recruited and randomized into two groups: 1) traditional simulation and 2) AR simulation (Figure 1). An excel randomization table was used for the randomization process. All subjects filled out a demographic questionnaire regarding their background and their perceptions of AR glasses in CVC and the use of AR glasses in medical education. All groups watched an instructional video prior to simulation (ultrasound-guided internal jugular [IJ] vein cannulation).26 At the end of the instructional video, subjects were divided into their designated groups (Figure 1).
Figure 1

Schematic of study protocol.

Abbreviations: AR, augmented reality; NEJM, the New England Journal of Medicine.

Control group

Traditional simulation consisted of a subject using the ultrasound to attempt an IJ vein central line insertion on a manikin. A designated observer served as the grader, recording the start time, and completion of the checklist (Figure 2). If needed, the observer was also allowed to answer questions and provide real-time feedback (with that documented on the data collection form).
Figure 2

Data collection sheet.

Abbreviations: AR, augmented reality; IJ, internal jugular.

AR group

The AR simulation group had a 5–10-min hands-on instructional course to allow familiarity with the AR equipment. They then proceeded to attempt an IJ vein insertion on the same manikin model as the control group. As in the other arm, a designated observer served as the grader, recording the start time, and completion of the checklist.

AR glasses and setup

The Brother AiRScouter WD-200B AR glasses (Brother International Corp., Bridgewater, NJ, USA) comes with one display unit, with a headband and a control box (Figure 3). Prior to using the AR glasses, a tutorial was provided by a test administrator on the basics of the AR glasses. Subjects were instructed to position the eyepiece slightly to the side of the eye, as to not cover the entire eye and inhibit bifocal vision. They were also given the opportunity to adjust the display in the eyepiece by moving the eyepiece right or left, toward or away from the eye. If only half the image was visible, subjects were instructed to move the eyepiece by moving it either toward or away from the eye, while holding the arm steady in one place.
Figure 3

AiRScouter WD-200B.

Note: Not shown in this figure is the head strap that connect from one rear part of the headband to the other.

Displayed on the eyepiece was a concise CVC instructional slide show adapted from the CVC instructional video on the New England Journal of Medicine26 (simulated views are shown in Figure 4). The slides were used as a checklist for subjects to follow as they carried out the procedure. Each slide included only key instructional words from the procedure manual. Microsoft PowerPoint 2016 on a laptop computer (connected to the AR glasses) was used to present the instruction slides. A wireless two-button foot pedal was connected to the computer via Bluetooth to advance the slides. When the pedal on the right was pressed, the slides would advance. When the pedal on the left was pressed, the slide would go back. The PowerPoint Slides displayed on the AR glass used 72 font green colored text that was on top of a black background to increase user clarity and reduce eyestrain. On some slides, photos and short gifs were displayed (ie, the image of a vein or an artery).
Figure 4

Simulated view through AiRScouter glasses.

Notes: (A) Image displayed through glasses gives instruction of what to look for when placing the needle in the vein. (B) Text displayed through glasses gives instruction for the next step of the procedure.

Bias prevention

During all simulations, only the study subjects actively engaged in the central line simulation were present in the simulation area. This was performed to control for bias in repeated studies (eg, the second person watching the first would have an advantage).

Data collection

The designated observer recorded and documented compliance with the performance criteria utilizing a checklist recording the number of attempts, the time, and the success/failure of each attempt (Figure 2). At the end of their experience, each subject completed a questionnaire to record their overall satisfaction with the simulation experience and their comfort and proficiency at the end of the process. The survey’s assessment of the AR glasses was based on the questionnaire developed and validated by Santos et al27 at Nara Institute of Science and Technology.

Statistical analyses

A sample size of 32 subjects was estimated using a large effect size of 0.9, a power of 0.80, and the level of significance set at 0.05. Data were summarized using mean ± SD or median (minimum, maximum) for quantitative variables and frequency (%) for categorical variables. The normality of the quantitative outcomes was assessed using Kolmogorov–Smirnov test. The distribution of categorical characteristics of subjects by the study group was examined using Pearson’s chi-square test. An independent t-test was used to compare mean age between the two study groups. Mann–Whitney test was used to compare time to IJ cannulation and adherence between the two study groups. The level of significance was set at p≤0.05. Thematic analysis was used to analyze subjects’ comments regarding the use of AR in the future for the AR group.

Ethical committee approval and recruitment

The study was approved by the institutional review board of Loma Linda University Health, Loma Linda, CA, USA. Subject recruitment was performed by distributing flyers and emails in our health-care institution. All subjects signed an informed consent upon recruitment to the study.

Results

A total of 32 subjects participated in this study (respiratory therapists, n=19 [59%]; physicians, n=11 [34%]; sleep technicians n=2 [6%]). The mean age for all subjects was 29.8±7.8 years, with the majority being males (n=27, 71%). There was no significant difference in baseline characteristics between the two groups (p>0.05; Table 2). For baseline questionnaires, most subjects agreed that AR would be easy to use when placing central lines, would decrease procedure time, and would decrease the number of required attempts, and nearly all agreed that AR would be helpful in medical education curriculums (in respective order n=24 or 80%; n=21 or 66%; n=23 or 72%; n=29 or 91%). Subjects were split regarding whether AR would require much training and whether it would have significant side effects to the user (50% and 53%).
Table 2

Frequency distribution of characteristics of subjects by the use of AR glasses (N=32)

CharacteristicsAR (n1=17)Non-AR (n2=15)
Male13 (76.5%)9 (60%)
Age (mean±SD)27.5±3.132.4±10.6
Prior experience with CVC in human beings4 (23.5%)6 (40%)
Experience central lines with manikins4 (23.5%)5 (33.3%)
Profession
 Respiratory therapy9 (52.9%)10 (66.7%)
 Medical doctor7 (41.2%)4 (26.7%)
 Sleep technologist1 (5.9%)1 (6.7%)

Abbreviations: AR, augmented reality; CVC, central venous catheter.

The distribution of time to place the AR device on head and time for central lines and adherence were not proportionally equal. The mean time for AR placement on the head in the AR group was 71±43 s, and the time to IJ cannulation was 316±112 s. The mean total time of completion for all subjects was 483±144 s. There was no significant difference in median (minimum, maximum) time (seconds) to IJ cannulation for those who were in the AR group and those who were not (339 [130, 550] vs 287 [35, 475], p=0.09; Figure 5), respectively. There was also no significant difference between the two groups in median total procedure time (524 [329, 792] vs 469 [198, 781], p=0.29), respectively. The majority of the subjects (71%, n=23), overall, were successful in cannulation of the IJ on their first attempt (12 in the AR group vs 11 in the non-AR group). Chi-square test showed no significant difference between the two groups when it comes to cannulation attempts. To test the hypothesis that the AR group performed better than the non-AR group in the adherence checklist, Mann–Whitney test was performed. Results showed that there was a significant difference in adherence level between the two groups (22.9±4.1 in the AR group vs 18.1±6.3 in the non-AR group; η2=0.90, p=0.003).
Figure 5

Time to IJ cannulation by AR usage (N=32).

Abbreviations: AR, augmented reality; IJ, internal jugular.

In the postquestionnaire for the AR group, the majority (>80%) reported that the device did not cause any fatigue, is not bulky, or too heavy after use in terms of ergonomics. Similarly, 94% reported that hand, head, and foot interactions were not difficult to perform and did not require additional work. With regard to comprehensibility, about 80% believed that the information displayed on the screen was appropriate, not difficult to read, and was responding fast enough. Similarly, for manipulability, the majority believed that the device did not require a lot of body muscle effort, and it was comfortable for arms and hands. However, 30% believed that the device interfered with their procedure skills and that it was not easy to control. Thematic analysis for the comments in the AR group, showed mutual agreement of the usefulness of the device in the medical field overall. However, issues with device adjustments during the procedure were one of the main complaints subjects had. In addition, most subjects commented that the device required more training and practice than was allocated in this study before they would feel comfortable with it to perform the procedure.

Discussion

The Institute of Medicine report published in 199911 brought to light the importance for developing systems and processes to improve patient safety in hospitals. While there has been an emphasis on developing systems to prevent CVC-associated complications via Center for Disease Control and Prevention checklists and Centers for Medicare & Medicaid Services tracking of performance measures,28 there is still much room to improve the complication rates in novice (vs expert) operators in which complication rates were 11% and failure rates 19.4% in one study (vs 4.5% and 10.1%, respectively, in expert operators).29 The ethical dilemma of balancing medical education with patient safety has always been a fundamental issue in medical training. In addition, the medical reforms with the decreases in training hours brought on by the Accreditation Council for Graduate Medical Education30,31 have further challenged the system to condense the same amount of information to learn into fewer working hours. Simulation has been extensively studied,10,12,15,24,32–34 but there is still a gap between simulation and performing actual procedures. In our study, we evaluated the use of AR to bridge the chasm, by providing real-time instruction during simulation training with future plans to study its implementation in the real-life environment. Since central lines are an integral part in patient care, with up to 5 million annually placed in the USA alone,35 it is an important issue that must be explored. AR has already been proven to be a powerful teaching tool in various nonmedical fields (ie, aviation, business, and military), and its use has been explored in the training of emergency room physicians and surgeons.7,33,34 Our study is the first, to our knowledge, to explore the use of AR glasses in central line simulation. We have shown that AR can be used during simulation CVC training without significant limitations to the user. Our results showed that there was a significant difference in the adherence level in the AR group vs non-AR group. This significant increase can be explained by the real-time feedback the AR group received as they perform the procedure. Prior studies have identified that AR brings its own cohort of unique problems.36 For example, students reported feeling overwhelmed and confused when dealing with unfamiliar technologies in the setting of complex tasks.37 However, our study shows that study subjects only required a mean of 71±43 s to implement the AR glasses and that despite the time required to place the glasses on, there was no significant difference in time to IJ cannulation. In addition, our postquestionnaire for the AR group reveals that the AR glasses were easy to use and did not require a lot of work to operate. Although some subjects faced some challenges in using the AR glasses (30%), this can be seen in other reported studies as well. Akçayır and Akçayır38 reported, in their systematic review, that the most challenging aspect of AR is usability issues and technical problems. We thus recommend that future studies examine the usability and easiness of device usage during a procedure. In addition, based on the subjects’ comments, we believe that more training needs to be provided to the user in the future studies.

Limitations

Having a larger number of subjects in the future studies would show better promising results of the use of AR. In addition, we believe that future studies should assess AR’s effect longitudinally—after its use in simulation—and to assess the efficacy of naive operators’ placements of central lines in live patients. This will give a better measurement and assessment of the AR effectiveness as a medical education tool. Finally, future studies are also warranted to investigate safety and reliability of AR during placement of central line catheters in live patients. In addition, future studies should consider previous experience on the procedure as an important factor in assessing the usefulness of AR.

Conclusion

AR simulation of CVCs in manikins is feasible and efficacious in novice operators as an educational tool. Future studies in this area are encouraged as technology is advancing rapidly in this area of education.
  25 in total

1.  Residents' hours of work.

Authors:  Ingrid Philibert; Paul Barach
Journal:  BMJ       Date:  2002-11-23

Review 2.  Preventing complications of central venous catheterization.

Authors:  David C McGee; Michael K Gould
Journal:  N Engl J Med       Date:  2003-03-20       Impact factor: 91.245

3.  Augmenting your own reality: student authoring of science-based augmented reality games.

Authors:  Eric Klopfer; Josh Sheldon
Journal:  New Dir Youth Dev       Date:  2010

4.  Discord among performance measures for central line-associated bloodstream infection.

Authors:  David M Tehrani; Dana Russell; Jennifer Brown; Kim Boynton-Delahanty; Kathleen Quan; Laurel Gibbs; Geri Braddock; Teresa Zaroda; Marsha Koopman; Deborah Thompson; Amy Nichols; Eric Cui; Catherine Liu; Stuart Cohen; Zachary Rubin; David Pegues; Francesca Torriani; Rupak Datta; Susan S Huang
Journal:  Infect Control Hosp Epidemiol       Date:  2012-12-14       Impact factor: 3.254

5.  Central vein catheterization. Failure and complication rates by three percutaneous approaches.

Authors:  J I Sznajder; F R Zveibil; H Bitterman; P Weiner; S Bursztein
Journal:  Arch Intern Med       Date:  1986-02

Review 6.  Virtual reality and simulation: training the future emergency physician.

Authors:  Martin Reznek; Phillip Harter; Thomas Krummel
Journal:  Acad Emerg Med       Date:  2002-01       Impact factor: 3.451

7.  Impact of a prevention strategy targeted at vascular-access care on incidence of infections acquired in intensive care.

Authors:  P Eggimann; S Harbarth; M N Constantin; S Touveneau; J C Chevrolet; D Pittet
Journal:  Lancet       Date:  2000-05-27       Impact factor: 79.321

8.  Beyond "see one, do one, teach one": toward a different training paradigm.

Authors:  J M Rodriguez-Paz; M Kennedy; E Salas; A W Wu; J B Sexton; E A Hunt; P J Pronovost
Journal:  Qual Saf Health Care       Date:  2009-02

9.  Augmented reality in medical education?

Authors:  Carolien Kamphuis; Esther Barsom; Marlies Schijven; Noor Christoph
Journal:  Perspect Med Educ       Date:  2014-09

10.  Central line complications.

Authors:  Craig Kornbau; Kathryn C Lee; Gwendolyn D Hughes; Michael S Firstenberg
Journal:  Int J Crit Illn Inj Sci       Date:  2015 Jul-Sep
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  10 in total

1.  Learning effectiveness of using augmented reality technology in central venous access procedure: an experiment using phantom and head-mounted display.

Authors:  Kazufumi Suzuki; Satoru Morita; Kenji Endo; Takahiro Yamamoto; Shuhei Fujii; Jun Ohya; Ken Masamune; Shuji Sakai
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-04-16       Impact factor: 2.924

Review 2.  Augmented and Mixed Reality: Technologies for Enhancing the Future of IR.

Authors:  Brian J Park; Stephen J Hunt; Charles Martin; Gregory J Nadolski; Bradford J Wood; Terence P Gade
Journal:  J Vasc Interv Radiol       Date:  2020-02-13       Impact factor: 3.464

3.  Augmented reality glasses improve adherence to evidence-based intubation practice.

Authors:  Abdullah Alismail; Jonathan Thomas; Noha S Daher; Avi Cohen; Waleed Almutairi; Michael H Terry; Cynthia Huang; Laren D Tan
Journal:  Adv Med Educ Pract       Date:  2019-05-06

4.  Feasibility of an augmented reality cardiopulmonary resuscitation training system for health care providers.

Authors:  Steve Balian; Shaun K McGovern; Benjamin S Abella; Audrey L Blewer; Marion Leary
Journal:  Heliyon       Date:  2019-08-02

5.  Virtual, Augmented, and Alternate Reality in Medical Education: Socially Distanced but Fully Immersed.

Authors:  Stacey M Kassutto; Cameron Baston; Caitlin Clancy
Journal:  ATS Sch       Date:  2021-10-18

Review 6.  How, for Whom, and in Which Contexts or Conditions Augmented and Virtual Reality Training Works in Upskilling Health Care Workers: Realist Synthesis.

Authors:  Norina Gasteiger; Sabine N van der Veer; Paul Wilson; Dawn Dowding
Journal:  JMIR Serious Games       Date:  2022-02-14       Impact factor: 4.143

7.  Augmented reality in interventional radiology education: a systematic review of randomized controlled trials.

Authors:  And Yara Particelli Gelmini; Márcio Luís Duarte; Mayara Oliveira da Silva; Josias Bueno Guimarães Junior; Lucas Ribeiro Dos Santos
Journal:  Sao Paulo Med J       Date:  2022 Jul-Aug       Impact factor: 1.838

8.  Augmented reality and mixed reality for healthcare education beyond surgery: an integrative review.

Authors:  Jaris Gerup; Camilla B Soerensen; Peter Dieckmann
Journal:  Int J Med Educ       Date:  2020-01-18

Review 9.  Augmented reality in medical education: a systematic review.

Authors:  Kevin S Tang; Derrick L Cheng; Eric Mi; Paul B Greenberg
Journal:  Can Med Educ J       Date:  2020-03-16

10.  Towards a First-Person Perspective Mixed Reality Guidance System for Needle Interventions.

Authors:  Leah Groves; Natalie Li; Terry M Peters; Elvis C S Chen
Journal:  J Imaging       Date:  2022-01-07
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