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Clinical Encounter: Obesity Treatment Challenge Simulation for
Medical Students
Bradley Tanner, MD1, Karen Rossie, DDS, PhD1
1-Clinical Tools, Inc., Chapel Hill, NC
WIP-Research Abstract #25806
Introduction
Deficiencies among medical providers have been
documented in patient interview, assessment, and
intervention for obesity [1]. The skill deficit is
alarming because one-third of U.S. adults meet
criteria for a diagnosis of obesity [2].
The clinical skills for which obesity treatment
training is needed are primarily non-physical. When
training in non-physical skills is the goal of
simulations, cognitive realism may be more
important than physical realism [3]. Instead, a
sufficient combination of actions, symbols, and
digital enhancement to support learning and induce
suspension of disbelief are more critical [4].
In response, we are developing and evaluating a
branched-path clinical scenario game for web or
Purpose/Hypothesis
Clinical simulations scenarios using branched
learning can function as clinical skills learning
tools for medical students and can be optimized by
learning student preferences and faculty opinions.
tablet to train medical students in obesity-related
clinical skills. Our studies aim to discover student
preferences for this type of simulation and faculty
opinions on need and integration.
2
Clinical Encounter: Obesity Treatment Challenge Simulation for
Medical Students
Materials & Methods
A needs analysis/preference survey with medical
students (n=17) focused on the use of branched
learning clinical scenarios about obesity. A survey
of faculty (n=12) asked about the need for the
training and how best to integrate it. Data from the
needs analysis guided development of a prototype
branched learning online patient encounter. Medical
students (n=12) participated in an alpha/ usability
test of the prototype. The simulation experience
involved making clinical choices for evaluation and
interventions. Usability participants were debriefed
in a semi-structured interview via screen-sharing
video chat (Skype) and surveys. Participants
provided feedback regarding content clarity,
usefulness, layout, organization, function, branched-
paths, game type, addition of audio or animation,
and satisfaction. Average 5-pt Likert ratings and SD
were calculated for survey data. Content analysis of
qualitative data was completed.
Results
Needs Analysis/Preference Testing: All students
agreed/strongly agreed that they “valued the
branched clinical scenarios as a learning method”
and thought it “would help me learn” [mean=4 / 4].
Examples of data for student preferences:
70% of students answered “yes” to a survey
question about whether they would like access to
audio, but in the interview, 40% said it was not
necessary.
Only 53% of students [mean=3.6 / 5, SD=1.1]
agreed they want to be scored on their choices.
Usability: All students agreed/strongly agreed that
there was enough information provided to make
simulated clinical choices. [mean=4.8 / 5, SD=.4]
Most students (80%) wanted the option to go
backwards in the experience, but rarely used it.
Faculty: All faculty participants agreed/strongly
agreed that the planned training would enhance
their curriculum and be a useful learning tool.
[mean=4.1 out of 5, SD=0.9]
3
Clinical Encounter: Obesity Treatment Challenge Simulation for
Medical Students
Discussion
Data from faculty survey confirming the need for
additional skills training for medical students in
obesity medicine. In response, we collected and
used student feedback regarding preferences related
to a branched learning web/app-based clinical
simulation to develop a prototype. Our preliminary
data suggests that the prototype fidelity to reality
was sufficient for students to experience clinical
decision-making and thus for training to occur. Our
findings to date are similar to previous studies in
that simple virtual case simulations offer educational
value, are easy to use, and are engaging.
Conclusion
Our current data supports the hypothesis that a case
simulation presented as a branched path learning
experience can provide a useful learning experience
for medical student clinical skills training. Branched
learning games are accepted by medical students
who find them engaging.
Contact Information (14 pt. font)
Website: ClinicalTools.com
Email: tanner@clinicaltools.com
Telephone: (919) 860 8118
Funding Acknowledgement (14 pt. font)
Developed with support from NIDDK 2 R44 DK091144-01A1
References
1. Vitolins M, Crandall S, Miller D, IP E, Marion G, Spangler JG. Obesity educational interventions in U.S. medical schools: a systematic review
and identified gaps. Teach Learn Med. 2012; 24(3): 267-72. doi: 10.1080/10401334.2012.692286.
2. Ogden C, Carroll M, Kit B, Flegal K. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014; 311(8): 806–814.
doi: 10.1001/jama.2014.732.
3. Herrington J, Reeves T, Oliver R. Immersive learning technologies: Realism and online authentic learning. J Comput High Educ. 2007; 19(1):
80–99. doi: 10.1007/BF03033421.
4. Dede C. Immersive interfaces for engagement and learning. Science. 2009; 323(5910): 66-99. doi: 10.1126/science.1167311.

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Obesity Treatment Challenge simulation for medical students.

  • 1. 1 Clinical Encounter: Obesity Treatment Challenge Simulation for Medical Students Bradley Tanner, MD1, Karen Rossie, DDS, PhD1 1-Clinical Tools, Inc., Chapel Hill, NC WIP-Research Abstract #25806 Introduction Deficiencies among medical providers have been documented in patient interview, assessment, and intervention for obesity [1]. The skill deficit is alarming because one-third of U.S. adults meet criteria for a diagnosis of obesity [2]. The clinical skills for which obesity treatment training is needed are primarily non-physical. When training in non-physical skills is the goal of simulations, cognitive realism may be more important than physical realism [3]. Instead, a sufficient combination of actions, symbols, and digital enhancement to support learning and induce suspension of disbelief are more critical [4]. In response, we are developing and evaluating a branched-path clinical scenario game for web or Purpose/Hypothesis Clinical simulations scenarios using branched learning can function as clinical skills learning tools for medical students and can be optimized by learning student preferences and faculty opinions. tablet to train medical students in obesity-related clinical skills. Our studies aim to discover student preferences for this type of simulation and faculty opinions on need and integration.
  • 2. 2 Clinical Encounter: Obesity Treatment Challenge Simulation for Medical Students Materials & Methods A needs analysis/preference survey with medical students (n=17) focused on the use of branched learning clinical scenarios about obesity. A survey of faculty (n=12) asked about the need for the training and how best to integrate it. Data from the needs analysis guided development of a prototype branched learning online patient encounter. Medical students (n=12) participated in an alpha/ usability test of the prototype. The simulation experience involved making clinical choices for evaluation and interventions. Usability participants were debriefed in a semi-structured interview via screen-sharing video chat (Skype) and surveys. Participants provided feedback regarding content clarity, usefulness, layout, organization, function, branched- paths, game type, addition of audio or animation, and satisfaction. Average 5-pt Likert ratings and SD were calculated for survey data. Content analysis of qualitative data was completed. Results Needs Analysis/Preference Testing: All students agreed/strongly agreed that they “valued the branched clinical scenarios as a learning method” and thought it “would help me learn” [mean=4 / 4]. Examples of data for student preferences: 70% of students answered “yes” to a survey question about whether they would like access to audio, but in the interview, 40% said it was not necessary. Only 53% of students [mean=3.6 / 5, SD=1.1] agreed they want to be scored on their choices. Usability: All students agreed/strongly agreed that there was enough information provided to make simulated clinical choices. [mean=4.8 / 5, SD=.4] Most students (80%) wanted the option to go backwards in the experience, but rarely used it. Faculty: All faculty participants agreed/strongly agreed that the planned training would enhance their curriculum and be a useful learning tool. [mean=4.1 out of 5, SD=0.9]
  • 3. 3 Clinical Encounter: Obesity Treatment Challenge Simulation for Medical Students Discussion Data from faculty survey confirming the need for additional skills training for medical students in obesity medicine. In response, we collected and used student feedback regarding preferences related to a branched learning web/app-based clinical simulation to develop a prototype. Our preliminary data suggests that the prototype fidelity to reality was sufficient for students to experience clinical decision-making and thus for training to occur. Our findings to date are similar to previous studies in that simple virtual case simulations offer educational value, are easy to use, and are engaging. Conclusion Our current data supports the hypothesis that a case simulation presented as a branched path learning experience can provide a useful learning experience for medical student clinical skills training. Branched learning games are accepted by medical students who find them engaging. Contact Information (14 pt. font) Website: ClinicalTools.com Email: tanner@clinicaltools.com Telephone: (919) 860 8118 Funding Acknowledgement (14 pt. font) Developed with support from NIDDK 2 R44 DK091144-01A1 References 1. Vitolins M, Crandall S, Miller D, IP E, Marion G, Spangler JG. Obesity educational interventions in U.S. medical schools: a systematic review and identified gaps. Teach Learn Med. 2012; 24(3): 267-72. doi: 10.1080/10401334.2012.692286. 2. Ogden C, Carroll M, Kit B, Flegal K. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014; 311(8): 806–814. doi: 10.1001/jama.2014.732. 3. Herrington J, Reeves T, Oliver R. Immersive learning technologies: Realism and online authentic learning. J Comput High Educ. 2007; 19(1): 80–99. doi: 10.1007/BF03033421. 4. Dede C. Immersive interfaces for engagement and learning. Science. 2009; 323(5910): 66-99. doi: 10.1126/science.1167311.