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Teaching medical students a clinical approach to altered mental status: simulation enhances traditional curriculum

(MD) , (ScD) & (MD)
Article: 19775 | Received 25 Sep 2012, Accepted 23 Feb 2013, Published online: 03 Apr 2013

Abstract

Introduction

Simulation-based medical education (SBME) is increasingly being utilized for teaching clinical skills in undergraduate medical education. Studies have evaluated the impact of adding SBME to third- and fourth-year curriculum; however, very little research has assessed its efficacy for teaching clinical skills in pre-clerkship coursework. To measure the impact of a simulation exercise during a pre-clinical curriculum, a simulation session was added to a pre-clerkship course at our medical school where the clinical approach to altered mental status (AMS) is traditionally taught using a lecture and an interactive case-based session in a small group format. The objective was to measure simulation's impact on students’ knowledge acquisition, comfort, and perceived competence with regards to the AMS patient.

Methods

AMS simulation exercises were added to the lecture and small group case sessions in June 2010 and 2011. Simulation sessions consisted of two clinical cases using a high-fidelity full-body simulator followed by a faculty debriefing after each case. Student participation in a simulation session was voluntary. Students who did and did not participate in a simulation session completed a post-test to assess knowledge and a survey to understand comfort and perceived competence in their approach to AMS.

Results

A total of 154 students completed the post-test and survey and 65 (42%) attended a simulation session. Post-test scores were higher in students who attended a simulation session compared to those who did not (p<0.001). Students who participated in a simulation session were more comfortable in their overall approach to treating AMS patients (p=0.05). They were also more likely to state that they could articulate a differential diagnosis (p=0.03), know what initial diagnostic tests are needed (p=0.01), and understand what interventions are useful in the first few minutes (p=0.003). Students who participated in a simulation session were more likely to find the overall AMS curriculum useful (p<0.001).

Conclusion

Students who participated in a simulation exercise performed better on a knowledge-based test and reported increased comfort and perceived competence in their clinical approach to AMS. SBME shows significant promise for teaching clinical skills to medical students during pre-clinical curriculum.

To access the supplementary material to this article please see Supplementary files under Article Tools online

Introduction

Simulation-based medical education (SBME) has become an increasingly common and potentially effective method for teaching clinical skills in both undergraduate (Citation1, Citation2) and graduate medical education (Citation1Citation4). Simulation as a teaching format provides a safe, supportive learning environment (Citation5), can encourage the development of skills through experiential learning (Citation6), and allows students to learn clinical skills through deliberate practice (Citation7, Citation8). A large array of clinical situations can be realistically simulated using various methods including, but not limited to, procedural task-trainers, physical models, computer-based patients, high-fidelity full-body simulators, and standardized patients (lay people who are specifically trained to portray patients). In particular, high-fidelity simulator exercises are increasingly being incorporated into both pre-clinical (Citation1, Citation4, Citation9) and clinical curricula (Citation1, Citation4). Although high-fidelity simulators are used for teaching clinical skills in the pre-clinical setting, there is limited data regarding the efficacy at this early stage of training (Citation9Citation12). Instead, most medical school studies of simulation have focused on the effectiveness of teaching clinical skills to students during their clerkships (Citation13Citation19), mainly in their fourth year.

Our study included students who were enrolled in ‘Introductory Clerkship’, a pre-clinical course for medical students transitioning from their second year into their third year. This course takes place in June at our medical school, immediately before students begin their clinical clerkships. It is a 1-month ‘crash’ course teaching an array of practical skills that students will need during their upcoming clinical rotations. The course addresses common chief complaints including dyspnea, abdominal pain, chest pain, and altered mental status (AMS). For each chief complaint, students attend a 1-hour lecture followed by a 2-hour small group, interactive case-based session. Faculty members from multiple disciplines facilitate small group sessions. Using AMS as an example, outlines of the 1-hour lecture and the corresponding small group cases are presented in and, respectively. Although these sessions teach practical clinical skills, we were concerned that there existed a translational gap for the students between their ability to understand and discuss these clinical problems and actually implementing these skills at the bedside of an acutely ill patient. We felt the learning experience could be greatly enhanced if students had the opportunity to practice these skills in ‘real’ clinical encounters with the use of simulation.

Table 1 Altered Mental Status: Lecture Outline

Table 2 Altered Mental Status: Small Group Cases

We hypothesized that the addition of high-fidelity simulation for pre-clinical students who have not yet started their clinical rotations would positively impact knowledge acquisition, perceived competence in their clinical approach, and comfort caring for patients. In addition, we hypothesized that students who participated in the simulation would rate the overall curriculum as more useful.

Methods

Study population

Second-year medical students, prior to entering their third year, who were enrolled in the Introductory Clerkship course were eligible to participate in this study. A total of 101 students were eligible to participate in June 2010, and 101 students were eligible in June 2011. A simulation exercise was developed as a pilot for the AMS component of the course.

The Clinical Curriculum Coordinator recruited eligible medical students. Students were told that it was a voluntary simulation exercise. Students were also told that the simulation would not have any impact on their course grade and that any data collected would not be part of their formal course records or provided to the course director. Students who wanted to participate had to sign up in person for an available simulation session. Student participation was on a first come, first served basis, completely voluntary, and due to resource constraints, limited to 40 students per year, and 10 students in any given 1-hour simulation session. The study was approved by the WCMC IRB as educational research, and written informed consent was waived.

Simulation sessions

The simulation sessions took place on a high-fidelity, full-body simulator (METI HPS – Medical Education Technologies, Sarasota, FL) in our Clinical Skills Center, in a room specifically designed for simulation sessions. The two AMS cases developed for the session were: 1) a patient with an overdose of medications and alcohol who has respiratory depression and hypoglycemia; and 2) an agitated head trauma victim who is post-ictal after a seizure and then has another seizure (). Students were split into two groups. Four to five students were participants in the case while the other students were observers. The students then switched roles for the second scenario. All students participated in a debriefing session (described below).

Table 3 Altered Mental Status: Simulation Cases

Facilitators

Sessions were conducted by three faculty members (including Authors #1 & #3). The three faculty members are all clinician educators with extensive experience with simulation and case-based instruction, and all have taken coursework in simulation. Two are emergency medicine physicians; the third is an internist and Director of the Clinical Skills Center. All simulation sessions were run by the same three faculty members; their roles for running the simulations, role-playing in the cases and debriefing were the same for every session.

Debriefing

Faculty observed students during the simulation and students then participated in a 15-minute debriefing after each case. During the debriefing, feedback was provided in an ask–tell–ask approach: 1) students were asked to provide self-reflections about perceived strengths and areas of improvement; 2) faculty provided tailored responses which included specific feedback points based on observations; and 3) faculty asked students about the major take-home points based on the debriefing and addressed any additional student questions.

Post-test and survey design

The post-test and survey were designed to test student knowledge acquisition, perceived competence in their clinical approach to AMS, their comfort caring for an altered patient, and the usefulness of the AMS curriculum. Post-test questions were designed to cover material from the lectures and small group discussions that were then reemphasized in the simulation sessions. After the post-test and survey questions were written, they were field tested by EM resident and attending physicians and Clinical Skills Center faculty until there was consensus about question clarity, meaning, and the correct answers for knowledge-based questions. Eight physicians took part in the field-testing.

Assessment and outcomes

Both students who did and did not participate in the simulation sessions completed a written post-test () to assess knowledge and a survey to assess perceived competence and comfort in their clinical approach to the management of AMS. Students who participated in the simulations took the post-test and survey immediately following the simulation session. The next day, students who participated in the simulation were excused early for lunch, and the remaining students completed the post-test and survey.

Table 4 Altered Mental Status: Post-Test

Knowledge acquisition was measured using the eight-question knowledge-based post-test. Perceived competence was measured using the following questions: ‘I can articulate a differential diagnosis for a patient with altered mental status;’ ‘I understand what initial diagnostic tests are needed in the evaluation of a patient with AMS;’ and ‘I understand what interventions are useful in the first few minutes in the treatment and evaluation of a patient with AMS.’ Comfort caring for an altered patient was measured by the following question: ‘I feel comfortable in my overall approach to a patient with AMS.’ Students were also asked how useful they found the AMS curriculum. Questions on the survey used a five-point Likert scale.

Statistical analysis

Analyses were conducted using Stata 12.0 (StataCorp, College Station, TX). Results are presented as proportions or medians (with interquartile ranges). Comparisons between students who did and did not participate in simulation sessions were made using Chi-square, Fisher's Exact, and Kruskal Wallis tests, as appropriate. A p value of <0.05 was considered statistically significant.

Results

The post-test and survey were completed by 154 (76%) of the 202 students enrolled in the course. Baseline demographics for the study participants were as follows: 53 males and 48 females with a mean age of 24.0 in 2010, and 55 males and 46 females with a mean age of 23.6 in 2011. The simulation session was attended by 65 (42%) of the 154 students. Among these 65 students, 48 attended both the lecture and small group sessions, while 17 attended either the lecture or the small group session. Of the students who did not attend the simulation, 58 (38%) attended both the lecture and small group and 16 (10%) attended either the small group or the lecture but not both. Fifteen students (10%) did not attend any of the sessions.

The median post-test score was 6 (IQR, 5–7). displays post-test scores for students who attended a simulation session, for students who attended only traditional sessions, and for students who did attend any of the AMS sessions. Post-test scores were higher in students who attended the simulation session compared with students who did not (7 [IQR, 6–8] vs. 6 [IQR, 4–7]; p<0.001). Students who did not attend any AMS session had a median score of 4 (IQR, 3–6), which was significantly lower than students attending any sessions (p<0.001).

Fig. 1.  Post-test median scores by type of instruction.

Median post-test scores with interquartile range and range of values for students who participated in the simulation session (with or without lecture or small group case-based sessions), students in the traditional curriculum (in lecture or small group case-based sessions only), and students who did not attend any sessions.

Fig. 1.  Post-test median scores by type of instruction.Median post-test scores with interquartile range and range of values for students who participated in the simulation session (with or without lecture or small group case-based sessions), students in the traditional curriculum (in lecture or small group case-based sessions only), and students who did not attend any sessions.

Students who attended the simulation session, compared to students who attended traditional sessions only or no sessions, were more likely to report that they could articulate a differential diagnosis for an AMS patient, know what initial diagnostic tests are needed, and what interventions are needed in the first few minutes for an AMS patient as well as more likely to feel comfortable in their approach to an AMS patient. Students who attended the simulation session were also more likely to rate the overall AMS curriculum as useful ().

Table 5 Post-Exercise Altered Mental Status Survey

Discussion

In this study, we found that the addition of a simulation exercise to our traditional AMS curriculum (lecture and case-based small group discussions) led to improved performance on a knowledge-based post-test, to higher student perceived competence in their clinical approach to the altered patient, and increased student comfort caring for an AMS patient. Medical students who attended the simulation sessions found the overall AMS curriculum more useful. Our results are highly encouraging demonstrating that SBME can be a useful adjunct tool for teaching practical clinical skills even before students enter their clinical clerkships. Although students’ perception of their own clinical competence or comfort may not translate into clinical skill acquisition, helping students become confident and comfortable with clinical medicine at an early stage of training (i.e., prior to even entering the wards) may make their transition to the care of real patients less stressful and more educational.

We incorporated this simulation exercise as a pilot into our AMS curriculum to provide students the opportunity to apply key concepts from the lecture and small group case discussions. Students were able to practice skills that are difficult to teach effectively in the lecture or classroom environment. For example, to be successful in the simulations, students had to assess the patient's airway and breathing, had to systematically assess the patient in order to find any life-threatening diagnoses, had to integrate multiple pieces of clinical data to generate a differential diagnosis, and had to prioritize needed diagnostics and treatments. Additionally, students in our simulation exercise practiced working as a team in the management of a critically ill patient and had the opportunity to play the role of a physician who had to discuss their patient's case with a family member or consultant. Students became immersed in the clinical cases and reported that they felt the ownership and pressure of dealing with a ‘real’ critically ill patient. Simulation provides a realistic and interactive learning environment that promotes practicing real-time clinical judgment, communication, and hands-on skills (Citation14). It has been estimated in the educational literature, that partaking in a simulated exercise where students practice what they have learned could result in up to 75% retention, compared to retaining 20% of what they hear in a lecture and 50% of what they learn engaged in a discussion (Citation20). As students are immersed in the clinical experience of simulation, they are gaining experience through auditory, visual, and tactile stimuli and this level of engagement creates a different learning environment than the classroom.

SBME has been shown to be highly effective in many clinical arenas including improving patient safety (Citation21, Citation22), long-term retention of resuscitation guidelines (Citation23), the development of procedural skills in different disciplines (Citation24Citation27), and operative skills (Citation28Citation30). However, little has been documented about the impact of simulation on early clinical skills development in pre-clerkship medical students.

Despite lack of evidence of effectiveness at this early stage, a number of medical schools are incorporating high-fidelity simulators into the pre-clinical years to teach clinical skills (Citation1, Citation4, Citation9). Our study adds to this budding literature by beginning to evaluate the effectiveness of incorporating simulation into the curriculum for pre-clinical students. Gordon, Brown, and Armstrong reported on a small pilot project where a myocardial infarction simulation case was used to teach cardiovascular physiology to first year medical students, and found that students who participated in the simulation had better scores on a knowledge-based test at one year compared to controls. This study had a small sample size (n=22 students) and was not randomized, and participating students were enrolled as a convenience sample (Citation9). Halm, Lee, and Frank studied the impact of a simulation exercise involving an overdose patient for second-year medical students; they found an improvement on a knowledge-based test when simulation was added to a problem-based learning session (Citation10). This small study (n=50 students) did not include a control group. Goodrow, Rosen, and Wood explained the role of simulation at their two medical schools (Citation4). Specifically, they described the incorporation of simulation sessions into pre-clinical courses such as pharmacology, physiology, and introductory clinical skills courses. In their curriculum, simulated cases are utilized to make these foundation courses less abstract and more practical, but they did not study the effectiveness of their new simulation curriculums. Additionally, at one medical school, simulation penetration into the pre-clinical curriculum was reported as slow, and student participation had been mostly optional (Citation4). Our study contributes to this literature with a larger group of students and with an intervention group (students electing to participate in a simulation session) and a control group (students participating in the traditional curriculum or no sessions at all).

Most other studies in pre-clinical coursework focus on either specific diagnostic skill acquisition or teaching physiology or pharmacology rather on learning a general approach to a chief complaint, as in our study. For example, one study found a positive impact of simulation on specific cardiac and pulmonary diagnostic skills for first year medical students (Citation11) and another on the physiological effects of anesthetic agents on hemodynamic parameters (Citation12). As described earlier, most simulation medical school interventions like ours have focused on third- and fourth-year students in clerkships like emergency medicine (Citation13Citation15, Citation18, Citation19), surgery (Citation16), and anesthesia (Citation17).

Unlike many previous studies (Citation13Citation15), the primary intent of this study was to assess whether simulation had an additive benefit to a traditional curriculum rather than as a replacement to existing formats such as lectures or problem-based learning (PBL) sessions. Our intention was to use the simulation experience for experiential learning (Citation6) and deliberate practice (Citation7, Citation8) as a method for reinforcing key teaching points that were emphasized in the lectures and PBL cases. The overall goal was for the simulation to improve long-term knowledge retention and help the students develop real clinical skills. For example, the importance of assessing airways and breathing, obtaining a full set of vital signs, and checking for hypoglycemia were key teaching points and the simulations allowed the students the opportunity to translate this knowledge into physical actions in a clinical situation.

Limitations

The limitations of this study include lack of a pre-test to measure baseline differences across the groups. We were also unable to assess for changes following the educational curriculum or to adjust for baseline knowledge or other confounders. Although it is possible that students had baseline differences in knowledge, all students received the same 2-year pre-clinical medical education at the time of the study. This study also lacks measurement or observation of applied skills, a limitation that we plan to address in future work.

Additionally, due to resource constraints, this pilot study was limited in the number of students able to participate each year (n=40 students). Students who signed up to participate in the simulation exercise may be a more motivated group of students, thus biasing the observed results. We believe, however, that this potential bias is minimized by the fact that many students who did not participate in the simulation session expressed disappointment in not being able to do so. Additionally, the positive results could be a result of the students getting ‘extra’ educational time and not necessarily the simulation itself. Although certainly possible, the ‘extra’ teaching is the point of the study – we wanted to measure whether this supplemental teaching exercise would improve students’ retention of material and make them more comfortable in their clinical skills.

Finally, the post-test and survey were designed by field-testing questions considered to be relevant by the study investigators. Neither were validated or assessed for reliability. Future work will use structured methods for instrument development.

Conclusion and Future Directions

High-fidelity simulation may be a potentially effective way of teaching clinical skills to medical students during pre-clinical curriculum. Further study is needed to assess how best to incorporate it. Future research will determine whether use of simulation is effective for teaching other major chief complaints (e.g., dyspnea, chest pain) in a pre-clinical setting and will assess improvements in knowledge using a pre-test/post-test design. Most importantly, future research should attempt to assess whether this type of simulation session for a pre-clinical student actually improves future clinical performance in these topic areas and patient outcomes.

Conflict of interest and funding

The study authors have no conflicts of interests or financial disclosures to make.

Supplemental material

Supplementary Material

Download PDF (159.8 KB)

Acknowledgements

We would like to acknowledge Doodnauth Hiraman, MD for his excellent teaching in conducting the simulation sessions and special thanks to Caryn Davi, MS for all the support she provided during this pilot.

References

  • Passiment M , Sacks H , Huang G . Medical simulation in medical education: results of an AAMC survey. 2011; Washington, DC: Association of American Medical Colleges. Available from: https://www.aamc.org/download/259760/data/medicalsimulationinmedicaleducationanaamcsurvey.pdf .
  • Chakravarthy B , Haar E , Bhatt SS , McCoy CE , Denmark TK , Lotfipour S . Simulation in medical school education: a review for emergency medicine. West J Emerg Med. 2011; 12: 461–6.
  • Okuda Y , Bond W , Bonfante G , McLaughlin S , Spillane L , Wang E , etal. National growth in simulation training within emergency medicine residency programs, 2003–2008. Acad Emerg Med. 2008; 15: 1113–6.
  • Goodrow MS , Rosen KR , Wood J . Using cardiovascular and pulmonary simulation to teach undergraduate medical students: cases from two schools. Semin Cardiothorac Vasc Anesth. 2005; 9: 275–89.
  • Gordon J , Wilkerson W , Shaffer DW , Armstrong E . Practising medicine without risk: students’ and educators’ responses to high-fidelity patient simulation. Acad Med. 2001; 76: 469–72.
  • Kolb DA . Experiential learning: experience as a source of learning and development. 1984; Englewood Cliffs, NJ: Prentice Hall PTR.
  • Ericsson KA . Deliberate practice and the acquisition and maintenance of expert performance in medicine and related domains. Acad Med. 2004; 79: S70–81.
  • Ericsson KA . Deliberate practice and acquisition of expert performance: a general overview. Acad Emerg Med. 2008; 15: 988–94.
  • Gordon JA , Brown DF , Armstrong EG . Can a simulated critical care encounter accelerate basic science learning among preclinical medical students? A pilot study. Simul Healthc. 2006; 1: 13–7.
  • Halm BM , Lee MT , Franke AA . Improving toxicology knowledge in preclinical medical students using high-fidelity patient simulators. Hawaii Med J. 2010; 69(1): 4–7.
  • Fraser K , Peets A , Walker I , Tworek J , Paget M , Wright B , etal. The effect of simulator training on clinical skills acquisition, retention and transfer. Med Educ. 2009; 43: 784–9.
  • Via DK , Kyle RR , Trask JD , Shields CH , Mongan PD . Using high fidelity patient simulation and an advanced distance education network to teach pharmacology to second-year medical students. J Clin Anesth. 2004; 16: 144–51.
  • McCoy CE , Menchine M , Anderson C , Kollen R , Langdorf MI , Lotfipour S . Prospective randomized crossover study of simulation vs. didactics for teaching medical students the assessment and management of critically ill patients. J Emerg Med. 2010; 40: 448–55. Available from: http://www.jem-journal.com/article/S0736-4679(10)00107-1/abstract .
  • Steadman RH , Coates WC , Huang YM , Matevosian R , Larmon BR , McCullough L , etal. Simulation-based training is superior to problem-based learning for the acquisition of critical assessment and management skills. Crit Care Med. 2006; 34: 151–7.
  • Schwartz LR , Fernandez R , Kouyoumjian SR , Jones KA , Compton S . A randomized comparison trial of case-based learning versus human patient simulation in medical student education. Acad Emerg Med. 2007; 14: 130–7. Available from: http://onlinelibrary.wiley.com/doi/10.1197/j.aem.2006.09.052/abstract .
  • Weller J , Robinson B , Larsen P , Caldwell C . Simulation based training to improve acute care skills in medical undergraduates. N Z Med J. 2004; 117: U1119.
  • Morgan PJ , Cleave-Hogg D , Desousa S , Lam-McCulloch J . Applying theory to practice in undergraduate education using high fidelity simulation. Med Teach. 2006; 28: e10–15.
  • Ruesseler M , Weinlich M , Muller M , Byhahn C , Marzi I , Walcher F . Simulation training improves ability to manage medical emergencies. Emerg Med J. 2010; 27: 734–8. Available from: http://emj.bmj.com/content/27/10/734.long .
  • Gordon JA , Shaffer DW , Raemer DB , Pawlowski J , Hurford WE , Cooper JB . A randomized controlled trial of simulation-based teaching versus traditional instruction in medicine: a pilot study among clinical medical students. Adv Health Sci Educ Theory Pract. 2006; 11: 33–9.
  • Lalley JP , Miller RH . The learning pyramid: does it point teachers in the right direction?. Education. 2007; 128: 64–79.
  • Ford DG , Seybert AL , Smithburger PL , Kobulinsky LR , Samosky JT , Kane-Gill SL . Impact of simulation-based learning on medication error rates in critically ill patients. Intensive Care Med. 2010; 36: 1526–31.
  • Berkenstadt H , Yusim Y , Katznelson R , Ziv A , Livingstone D , Perel A . A novel point-of-care information system reduces anaesthesiologists’ errors while managing case scenarios. Eur J Anaesthesiol. 2006; 23: 239–50.
  • Wayne D , Didwania A , Feinglass J , Fudala MJ , Barsuk JH , McGaghie WC . Simulation-based education improves quality of care during cardiac arrest team responses at an academic teaching hospital: a case-control study. Chest. 2008; 133: 56–61.
  • Barsuk JH , Ahya SN , Cohen ER , McGaghie WC , Wayne DB . Mastery learning of temporary hemodialysis catheter insertion by nephrology fellows using simulation technology and deliberate practice. Am J Kidney Dis. 2009; 54: 70–6.
  • Cohen J , Cohen SA , Vora KC , Xue X , Burdick JS , Bank S , etal. Multicenter, randomized, controlled trial of virtual-reality simulator training in acquisition of competency in colonoscopy [published correction appears in Gastrointest Endosc 2007; 65: 740]. Gastrointest Endosc. 2006; 64: 361–8.
  • Draycott TJ , Crofts JF , Ash JP , Wilson LV , Yard E , Sibanda T , etal. Improving neonatal outcome through practical shoulder dystocia training. Obstet Gynecol. 2008; 112: 14–20.
  • Korndorffer JR Jr , Dunne JB , Sierra R , Stefanidis D , Touchard CL , Scott DJ . Simulator training for laparoscopic suturing using performance goals translates to the operating room. J Am Coll Surg. 2005; 201: 23–9.
  • Gurusamy K , Aggarwal R , Palanivelu L , Davidson BR . Systematic review of randomized controlled trials on the effectiveness of virtual reality training for laparoscopic surgery. Br J Surg. 2008; 95: 1088–97.
  • Park J , MacRae H , Musselman LJ , Rossos P , Hamstra SJ , Wolman S , etal. Randomized controlled trial of virtual reality simulator training: transfer to live patients. Am J Surg. 2007; 194: 205–11.
  • Seymour NE , Gallagher AG , Roman SA , O'Brien MK , Bansal VK , Andersen DK , etal. Virtual reality training improves operating room performance: results of a randomized, double-blinded study. Ann Surg. 2002; 236: 458–63.