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Pharmacy 2019, 7(1), 13;

Effects of Cross-Training on Medical Teams’ Teamwork and Collaboration: Use of Simulation
Department of Pharmacy Services, University of Utah Health, Salt Lake City, UT 84132, USA
Department of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA 15213, USA
Department of Pharmacy Services, University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA 15213, USA
VA Pittsburgh Healthcare System, Center for Medical Product End-User Testing, Pittsburgh, PA 15213, USA
Department of Otolaryngology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
VA Pittsburgh Healthcare System, U.S. Department of Veterans Affairs, Pittsburgh, PA 15213, USA
Author to whom correspondence should be addressed.
Received: 29 November 2018 / Accepted: 13 January 2019 / Published: 19 January 2019


Previous research in the US Navy demonstrated that cross-training enhances teamwork and interpersonal collaboration. Limited data exists on cross-training effectiveness in medical education. This research aimed to assess whether cross-training would have similar effects on medical teams. A multidisciplinary pair of resident participants—consisting of one physician and one pharmacist—was randomly assigned to cross-training or current training condition. The training experience involved one video-based content module (training a pharmacist’s task of pharmacokinetic dosing and a physician’s task of intubation) and one simulation-based practice scenario (collaborative treatment of an unstable critically ill simulated patient). Interprofessional pairs randomized to cross-training condition participated in both the content module and practice scenario in the alternative professional role whereas pairs randomized to current training condition participated in their own professional role. Pairs also participated in pre- and post- training assessment scenarios in their own professional role. Teamwork and interprofessionalism were measured immediately following assessment scenarios. Knowledge assessments were conducted at the start and end of the scenario sequence. Multidisciplinary pairs experiencing cross-training showed a significant improvement in teamwork (increased by 6.11% vs. 3.24%, p < 0.05). All participants demonstrated significant improvement in knowledge scores (increase of 14% cross-training, p < 0.05, and increase of 13.9% control, p < 0.05). Our project suggests that cross-training can improve teamwork in interprofessional medical teams.
simulation; interprofessional education; teamwork; cross-training

1. Introduction

Current medical care has evolved to have a strong interprofessional structure, suggesting that teamwork amongst healthcare professionals is vital to assuring patient safety. Simply put, “teams make fewer mistakes than individuals” [1]. Therefore, how to train effective teams has become a topic of interest among healthcare educators [2,3]. In fact, a growing number of national organizations and accreditation councils have highlighted the need to evaluate trainee competencies in the areas of interprofessional teamwork and communication [4,5,6,7]. Both the Accreditation Council of Graduate Medical Education and the American Society of Health-System Pharmacists Residency Accreditation Standards require residents to demonstrate an ability to work effectively within interprofessional teams [4,5,6,7]. Moreover, interprofessionalism, defined as two or more healthcare professions collaborating or coordinating with a shared goal of enhancing patient care, is being taught earlier by being integrated into core standards for medical and pharmacy student curriculums alike [8].
In a recent report from the Agency for Healthcare Research and Quality (AHRQ), the authors recommend that medical team training could be enhanced by leveraging existing research on other instructional methods [1]. The AHRQ specifically highlights the extensive research conducted by Salas and colleagues on team training for the US Navy, in particular, the concept of cross-training [1,9,10]. Cross-training is defined as “a strategy in which each team member is trained on the tasks, duties, and responsibilities of his or her fellow team members. The goal of this type of training is to provide team members with a clear understanding of the entire team function and how one’s particular tasks and responsibilities interrelate with those of the other team members” [10]. Research has shown that cross-training significantly improves overall teamwork, by enhancing interpersonal collaboration and communication [9,10]. Additionally, teams that have been cross-trained have demonstrated better performance in a high-stress environment [10]. The goal of this research was to evaluate the impact of cross-training on teamwork, interprofessionalism and knowledge in multidisciplinary medical teams. We hypothesized that both groups (i.e., cross-trained and control) would show improvement in their teamwork and interprofessionalism scores post-training, but we expected that the cross-trained teams would show a greater improvement in both teamwork and interprofessionalism, as compared to the control group.

2. Materials and Methods

This randomized study was approved by the institutional review board at the University of Pittsburgh. The study took place at a large, tertiary care academic medical center with 175 specialty Graduate Medical Education programs. Our institution trains nearly 1800 residents and fellows with over 180,000 healthcare professionals participating in continuing education programs annually. The University of Pittsburgh School of Pharmacy has 2 patient simulators that are both wireless and mobile. Taking advantage of this mobility has allowed for integration of simulation training into residents’ onsite training in the hospital setting.
Twenty-four individual medical and pharmacy residents were recruited from a population of trainees at UPMC, Presbyterian campus. Investigators assigned recruited individuals to serve as part of a multidisciplinary pair (i.e., one physician and one pharmacist) based on schedule availability. Each multidisciplinary pair was assigned to either the cross-training or current training (control) condition, using a computer-based automated randomization scheme. Participants were blinded to which training condition they were assigned.
All participants provided informed consent and completed the entire study within one hour. All participants started by completing demographic questions and a six-question baseline knowledge assessment. Then, participants underwent the pre-training assessment scenario in their own professional role and completed a teamwork and interprofessionalism survey based on their experience in the pre-training scenario (Appendix A and Appendix B). Next, the participants completed the training portion of the study. The training portion consisted of a video-based content module, which trained them how to either intubate or perform pharmacokinetic calculation depending on randomization, and a simulation-based practice scenario, which allowed them to practice those skills in the collaborative treatment of an unstable critically ill simulated patient. During the training portion, clinicians randomized to cross-training were educated on an alternative professional’s role and allowed to practice that skill in simulation. Cross-trained physicians reviewed a video and then practiced pharmacokinetic dosing to provide an optimal phenytoin recommendation. Cross-trained pharmacists reviewed a video and then practiced intubating a patient requiring immediate airway protection. Participants randomized to the control group reviewed the video relevant to their own profession and remained within their own professional role in the training simulation scenario (i.e., the medical resident in the control group reviewed the intubation video and practiced intubation on the simulator). Then, participants underwent the post-training assessment scenario in their own professional role and completed a teamwork and interprofessionalism survey based on their experience in the post-training scenario. Finally, participants completed a final questionnaire with the same six knowledge assessment questions from the baseline assessment and one open-ended question about their overall impression of the experience.
The primary outcome measures were teamwork and interprofessionalism assessed by change in self-reported teamwork and interprofessionalism scores from pre- to post- training. Teamwork questions were adapted from the survey validated by Heinemann and colleagues, which focused on individuals’ perception of the quality of care provided by a team and the quality of teamwork demonstrated [11,12]. Interprofessionalism questions were adapted from the scale validated by Luecht and colleagues, and included the following subscale areas: perceived need for cooperation, actual cooperation, and understanding others’ values [13].
A secondary outcome measure of content knowledge was assessed through a change in the number of knowledge questions answered correctly before and after participating in the study. These knowledge questions were written to investigate whether the overall study design also offered educational value to the residents.
Likert scale responses were coded to numerical values, with a response of strongly disagree corresponding to a 1 and strongly agree corresponding to 6. Across the 20-question survey, 9 questions corresponded to teamwork and 11 questions corresponded to interprofessionalism. Likert scale responses were aggregated to provide an overall score for teamwork and interprofessionalism for each participant. Maximum scores a participant could record for teamwork was 54 by recording a strongly agree (or 6) for each of the 9 relevant questions; similarly, maximum scores a participant could record for interprofessionalism was 66 by recording a strongly agree (or 6) for each of the 11 relevant questions. A Wilcoxon signed-rank test compared pre-team to post-team scores for each group (control and cross-training), respectively. A Wilcoxon signed-rank was also used to compare pre-interprofessionalism to post-interprofessionalism scores for each group. As a secondary endpoint, a brief content 6-question knowledge assessment was conducted. Pre-knowledge and post-knowledge scores were compared for each group using a paired T-test. The open-ended question underwent thematic analysis for trends in responses.

3. Results

Demographic characteristics of participants are summarized in Table 1.

3.1. Teamwork and Interprofessionalism

Complete survey scores for teamwork and interprofessionalism are summarized in Table 2. Professional individuals that experienced cross-training showed a significant improvement in their average survey teamwork scores (42.8 (79.26%) v 46.1 (85.37%), p < 0.05), whereas individuals in the control group did not (44.1 (81.64%) v 45.8 (84.88%), p > 0.05). Cross-trained individuals’ average post-training team score increased by 6.11% compared to their pre-training score; for the control group, the average post-training score increased by 3.24% compared to their pre-training score. Neither group demonstrated a significant improvement in interprofessionalism scores (cross training +0.45%, control group −1.52%, p > 0.05); however, baseline interprofessionalism scores for both groups averaged at approximately 85%.
Complete survey scores for teamwork and interprofessionalism.

3.2. Knowledge Assessment and Thematic Analysis

All participants demonstrated a significant improvement in knowledge scores when comparing post-study knowledge assessment scores to baseline knowledge assessment scores (Table 3). Feedback from participants was extremely favorable with several comments addressing the value of simulation-based learning in the interprofessional setting. One participant stated “Great. Practical/realistic scenario with ideal availability of PharmD. Reminds me of how useful interdisciplinary work can be.” Other comments included, “Helpful. Gave me insight into my own deficiencies and reinforced my appreciation of the interdisciplinary approach to cases/medicine”, “Very interesting—made both of us think on our feet. My training helped choose correct therapies. I liked helping the MD choose doses for sedating agents and paralytics”, and “Overall it was a good experience to see some of the calculations involved with dosing certain agents. I tend to rely on the pharmacists and dosing algorithms in my day to day practice, so it was interesting to see the overall formulas.”
All participants demonstrated a significant improvement in knowledge scores when comparing post-study knowledge assessment scores to baseline knowledge assessment scores. Cross-trained individuals’ average knowledge scores increased by 14.00%; whereas, for the control group, the average post-knowledge score increased by 13.89%.

4. Discussion

Cross-training is an educational strategy that has been extensively studied and successfully incorporated into other disciplines, such as aviation and engineering, yet cross-training has not previously been used in the healthcare setting [1,9,10]. The objective of this study was to assess if the benefits of cross-training, primarily improved teamwork and interprofessionalism, could also be observed in healthcare professionals. Additionally, it was important to evaluate the content knowledge changes with the simulation education provided.
We observed an improvement in teamwork amongst participants that experienced cross-training. Of note, we observed that participants that were cross-trained depended heavily on one another to complete the training scenario. For instance, pharmacists that were cross-trained to intubate needed physician assistance in order to achieve appropriate laryngoscope placement to allow for optimal visualization of the vocal cords. Likewise, physicians that were cross-trained on phenytoin kinetics still referenced the pharmacist to assure that they were selecting appropriate laboratory values to insert into the pharmacokinetic equation for dosing. Interestingly, we observed that both counterparts were then shifted into a teaching role in order to clearly explain their usual role, so that their cross-trained partner could complete their task to achieve stabilization of the simulated patient.
While changes for interprofessionalism scores did not reach statistical significance for either group, scores trended up for the cross-training group, while scores trended down for the control group. In future studies incorporating cross-training, the impact on interprofessionalism should be further explored. Of note, we also selected from a population of participants that currently train together as residents, which may explain why a high baseline interprofessionalism score was observed in both groups.
Overall, we saw an improvement in knowledge scores in both the control group and cross-training group. This suggests that the content of the simulation-based scenarios allowed for important concepts to be taught through simulation. Moreover, similar improvements in both groups suggest that the cross-training strategy did not interfere with the teaching of key concepts. This emphasizes the importance of review by expert panel to assure that the learning objectives for each simulation scenario are indeed achieved through the design of each simulation scenario.
Since we chose to target residents as participants for our project, time was an important constraint to consider. We found that study investigators had to be flexible in terms of availability to set up the simulation to accommodate physician and pharmacist availability. Often, scheduled session times had to be adjusted or moved to alternative days based on patient care needs. We found that we were able to allow participants to reflect on their simulation sessions and discuss key points; however, we were not able to expand about ideas offered during debriefing (Appendix C). We believe that the flexibility of transporting the simulation equipment near patient care areas increased our participant recruitment by making our study more accessible; this decreased time invested by participants by not asking them to meet at a central location. Alternatively, recruiting current healthcare students may be an approach to consider as students often have more availability than residents.
Our study may have been influenced by selection bias, as participants that enjoy simulation-based activities would have been more likely to participate. However, we collected both pre- and post- interventional measures to limit the influence of selection bias on our study measures.
Finally, our study was limited by a small sample size, since this was a pilot study. Notably, we did capture 92% of all pharmacy residents available, suggesting that we had optimal recruitment. Moreover, we did achieve statistically significant improvements in many of our outcomes. We recommend that cross-training be further studied within the healthcare setting to determine if these results can be replicated in a larger study population.

5. Conclusions

Our study demonstrates that cross-training may improve teamwork in interprofessional teams, when incorporated into simulation-based training sessions involving medical and pharmacy residents. Larger studies should evaluate this concept further to determine the value of cross-training within an interprofessionalism setting.

Author Contributions

Conceptualization, A.R.H., A.L.S., D.E., J.L.E., H.J.J., and L.R.K.; methodology, A.R.H., A.L.S., D.E., J.L.E., H.J.J., and L.R.K.; software, A.R.H., A.L.S., L.R.K.; validation, A.R.H., A.L.S., D.E., and J.L.E.; formal analysis, A.R.H.; investigation, A.R.H., A.L.S., D.E., J.L.E., H.J.J., and L.R.K.; resources, A.R.H., A.L.S., H.J.J., and L.R.K.; data curation, A.R.H., A.L.S., H.J.J., and L.R.K.; writing—original draft preparation, A.R.H.; writing—review and editing, A.R.H., A.L.S., D.E., J.L.E., H.J.J., and L.R.K.; visualization, N/A; supervision, A.L.S., D.E., J.L.E.; project administration, A.L.S., D.E., J.L.E., L.R.K.; funding acquisition, N/A.


This research received no external funding.


We gratefully acknowledge the National Center for Patient Safety (NCPS) and the Veteran Affairs Pittsburgh Healthcare System (VAPHS) for their collaborative role in this study as they were instrumental in the study design development and execution of this project. We also acknowledge Shanta Zimmer, MD, UPMC Internal Medicine Residency Program Director and Associate Professor of Medicine, for allowing us to approach physician residents for inclusion in our study.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A: Three Simulation Scenarios (Basic Vignettes).

Scenario 1. Endocarditis complicated by Atrial Fibrillation with RVR. (Medication error: When team orders amiodarone, nurse accidentally administers rocuronium by mistake due to similar packaging.)
  • Participant Briefing: You should work with your team to respond to the patient’s condition as you would in a real-life scenario.
  • HPI: JB is a 48-year-old male who presents with nausea/vomiting, fever, and chills. He has a history of substance abuse (drug of choice is heroin). No known drug allergies. The patient is noted to have evidence of splinter hemorrhages and a faint systolic murmur upon evaluation in the ED. After three days of care, the patient’s initial blood cultures grew S. viridians with a reported penicillin MIC > 0.12 mcg/mL. Repeat cultures are negative, showing clearance of the organism. A transesophageal echocardiogram was remarkable for vegetation in the mitral valve. The team continued the patient on penicillin and gentamicin. Yesterday, the patient was transferred to the unit after new onset atrial fibrillation with rapid ventricular rate. A repeat echocardiogram at the time showed no evidence of thrombus. The patient was tried on beta-blockers, but failed to respond. He was therefore started on a diltiazem drip for rate control, which is currently running at 10 mg/hour. The patient has remained in normal sinus rhythm overnight.
  • Current Medications:
    Acetaminophen 650 mg PO q6h prn T > 38.3 °C
    Docusate 100 mg PO BID
    Gentamicin 60 mg IV q8h
    Heparin 5000 units SC q12h
    Insulin lispro 0–6 units q6h
    Penicillin G 24 million units as a continuous infusion
    Senna 2 tablets PO HS
  • Recent Laboratory Values:
    BMP: Na 139, K 3.8, Cl 107, CO2 23, BUN 49, Cr 1.7, Glucose 149
    CBC: WBC 11.1, Hgb 9.8, Hct 40.5, Plts 150
    Drug labs: Gentamicin peak (drawn 30 min after dose infused) 4.0, Gentamicin trough (drawn 30 min prior to next dose) 2.2
    Additional labs: Albumin: 3.2, Ca 8.2, Mg 2.0, Lactate Normal, CrCL ~50 mL/min
Scenario 2. Patient presenting with Subdural Hematoma after fall while on warfarin at home; history of seizure disorder, unsure when patient last received phenytoin dose.
  • Participant Briefing: You should work with your team to respond to the patient’s condition as you would in a real-life scenario.
    You should serve in the role and respond according to the training that you just received. For instance, if you were just trained on pharmacokinetics, then you are responsible for using pharmacokinetics to guide your dosing recommendations. If you were just trained on intubation, then you are responsible for intubating should the need arise.
  • HPI: BD is a 79-year-old female who presents s/p fall at home with known head trauma, while on anticoagulation for chronic A-fib. Per the patient’s daughter, the patient has a known history of seizure disorder, but she is unsure when she received her last dose of Dilantin. The patient was taken for CT imaging upon EMS arrival. Per radiology, the CT showed possible subdural hematoma, so the patient received 10 mg of IV vitamin K and 3000 units of prothrombin complex concentrates. She was stabilized and transferred to the Trauma ICU for observation; a repeat CT scan is due is six hours, and the patient was started on her home Dilantin maintenance dose of 100 mg IV TID.
  • Current Medications:
    Acetaminophen 650 mg PO q6h prn T > 38.3 °C
    Docusate 100 mg PO BID
    Heparin 5000 units SC q12h
    Insulin lispro 0–6 units q6h
    Senna 2 tablets PO HS
  • Recent Laboratory Values:
    BMP: Na 139, K 4.9, Cl 108, CO2 22, BUN 42, Cr 1.6, Glucose 157
    Drug labs: Phenytoin 8.0, Phenytoin free level: 0.6
    Additional labs: Albumin: 2.5, Ca 8.8, Mg 3.2, Lactate Normal, CrCL ~26 mL/min
Scenario 3. Sepsis secondary to MRSA pneumonia (Medication error: When team orders vancomycin, nurse administers and pump immediately malfunctions, infusing in too quickly and causing Red Man Syndrome)
  • Participant Briefing: You should work with your team to respond to the patient’s condition as you would in a real-life scenario.
    You should respond in your own professional role.
  • HPI: KH is a 42-year-old male who presented with worsening shortness of breath and fever. His CXR had evidence of a lower lobe consolidation, and his CT was suggestive of necrotizing pneumonia. The patient has no known drug allergies. Early goal-directed therapy was initiated in the ED due to continued low BP despite adequate fluid resuscitation and initiation of broad-spectrum antibiotics (vancomycin and Zosyn). After 3 days of care, the patient’s initial sputum cultures grew MRSA S. aureus with an MIC of 1.0, so he was continued on vancomycin 1g q12h only. Repeat sputum cultures show evidence of gram-positive cocci in pairs, while blood cultures remain negative. The team noted in their sign-out that they are having trouble weaning vasopressor therapy at this time, despite maintaining a CVP of 12 mm Hg.
  • Current Medications:
    Acetaminophen 650 mg PO q6h prn T > 38.3 °C
    Docusate 100 mg PO BID
    Heparin 5000 units SC q8h
    Insulin lispro 0–6 units q6h
    Norepinephrine 0.2 mcg/kg/min
    Senna 2 tablets PO HS
    Vancomycin 1g IV q12h
    Vasopressin 0.04 units/min
  • Recent Laboratory Values:
    BMP: Na 141, K 3.8, Cl 109, CO2 25, BUN 71, Cr 1.4, Glucose 130
    CBC: WBC 14.1, Hgb 8.8, Hct 26.4, Plts 130
    Drug labs: Vancomycin trough (drawn 30 min prior to next dose) 12.0
    Additional labs: Albumin: 2.8, Ca 8.2, Mg 2.0, Lactate 1.5, CrCL ~58 mL/min

Appendix B: Teamwork/Interprofessionalism Survey

Please fill out the following questions based on your impression of your interdisciplinary pair (physician and pharmacist), ignoring the standardized nurse. To indicate your response, place a checkmark in the box corresponding to the item of the likert scale that best expresses your agreement or disagreement with the following statements.
Table A1. Teamwork/Interprofessionalism Survey.
Table A1. Teamwork/Interprofessionalism Survey.
Strongly DisagreeDisagreeSlightly DisagreeSlightly AgreeAgreeStrongly Agree
1. Our team unnecessarily complicated things most of the time.
2. Our team approach improved the quality of care for this simulated patient.
3. Working on this team kept me enthusiastic and interested in my job.
4. Developing a patient care plan with my other team member helped to avoid errors in delivering care.
5. When developing an interdisciplinary patient care plan, much time was wasted translating jargon from the other discipline.
6. Developing an interdisciplinary patient care plan was excessively time-consuming
7. The give-and-take among team members helped us make better patient care decisions.
8. Having to report observations to the team helped team members better understand the work of other health professionals.
9. Our team approach made the delivery of care to this simulated patient more efficient.
10. Individuals in my profession are able to work closely with individuals in other professions.
11. Individuals in other professions respect the work done by my profession.
12. Individuals in my profession need to cooperate with other professions.
13. Individuals in my profession must depend upon the work of people in other professions.
14. Individuals in my profession have a higher status than individuals in other professions.
15. Individuals in my profession make every effort to understand the capabilities and contributions of other professions.
16. Individuals in my profession are willing to share information and resources with other professionals.
17. Individuals in my profession have good relations with people in other professions
18. Individuals in my profession think highly of other related professions.
19. Individuals in my profession work well with each other.
20. Individuals in other professions often seek the advice of people in my profession.

Appendix C: Debriefing points

Scenario 1.
Ask participants, “How did that scenario go?”
Review and Discuss Learning Objectives:
Interpretation of a gentamicin level in a patient on antibiotics for endocarditis
Dosing recommendation for amiodarone
Rate of amiodarone administration during A-fib with RVR
Intubation of patient during cardiac arrhythmia
Review intubation technique and pharmacokinetic dosing
  • Incidence of hypotension when infused too quickly; other possible side effects
  • Medication error discussion, disclosure, etc.
  • What do you say to patient when they wake up intubated? What do you tell family?
  • What system change would you use? (Show participants how similar packaging labels are—no standards for color and design currently)
Scenario 2.
Ask participants, “How did that scenario go?”
Review and Discuss Learning Objectives:
Review intubation technique and pharmacokinetic dosing
Interpretation of a phenytoin level in a patient with known seizure history
Dosing recommendation for status epilepticus (when seizure occurs)
Rate of phenytoin administration during status epilepticus
Intubation of patient during status epilepticus
Administration of sedative agent prior to paralytic for intubation
RSI Drugs
  • Prefer administration of sedative prior to paralytic for intubation
  • Review maximum rate of administration, potential side effects, and diluent
Scenario 3.
Ask participants, “How did that scenario go?”
Review and Discuss Learning Objectives:
Interpretation of a vancomycin level in a patient on antibiotics for pneumonia in the setting of sepsis
Dosing recommendation for vancomycin
Rate of vancomycin administration during
Intubation of patient with progressive respiratory failure
Treatment of vancomycin-related red man syndrome
Review intubation technique and pharmacokinetic dosing
Medication error
  • Review incidence, pathophysiology, and underlying cause of red man syndrome
  • Treatment options for red man syndrome
  • Source control and adequate treatment for a patient in septic shock


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Table 1. Demographics.
Table 1. Demographics.
DemographicCross Training Group, n = 12Control Group, n = 12
Medicine Residency, n (%)6 (50.0%)6 (50.0%)
Pharmacy Residency, n (%)6 (50.0%)6 (50.0%)
Residency Completed, in years2.11.7
Experienced Interprofessional Learning in Professional Degree Program, n (%)10 (83.3%)8 (66.7%)
Summary of demographic characteristics of medical and pharmacy resident participants.
Table 2. Summarized Survey Scores for Teamwork and Interprofessionalism; Reported as an Average Score, n (%).
Table 2. Summarized Survey Scores for Teamwork and Interprofessionalism; Reported as an Average Score, n (%).
Pre-Training Teamwork ScorePost-Training Teamwork Scorep-Value
Cross Training 42.8 (79.26)46.1 (85.37)<0.05 *
Control Group 44.1 (81.64)45.8 (84.88)>0.05
Pre-Training Inter-Professionalism ScorePost Training Inter-Professionalism Scorep-Value
Cross Training 56.5 (85.61)56.8 (86.06)>0.05
Control Group 55.7 (84.34)54.7 (82.83)>0.05
* Indicates a statistically significant outcome.
Table 3. Summarized Survey Scores for Knowledge; Reported as Average Score, n (%).
Table 3. Summarized Survey Scores for Knowledge; Reported as Average Score, n (%).
Pre-Training Knowledge ScorePost-Training Knowledge Scorep-Value
Cross Training 4.7 (81)5.7 (95)<0.05 *
Control Group 4.8 (79.17)5.4 (93.06)<0.05 *
* Indicates a statistically significant outcome.

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