Debriefing interaction patterns and learning outcomes in simulation: an observational mixed-methods network study

Factors Affecting Nursing Students' Reflective Thinking During Simulation Debriefing

BACKGROUND

Although reflective thinking is regarded as an important learning aspect of debriefing, the factors that can affect reflective thinking during simulation debriefing remain unclear.

PURPOSE

This study aimed to identify factors affecting reflective thinking during simulation debriefing among nursing students.

METHODS

This study used a cross-sectional descriptive survey design with a convenience sample of 198 Korean nursing students. Participants completed a structured web-based self-administered questionnaire regarding the reflective learning continuum, psychological safety, learner communications skills, and debriefing process design. Multiple regression analyses were used to identify the factors affecting reflective thinking.

RESULTS

Significant factors were debriefing process design, learner communication skills, student-to-student interactions, and instructor-to-student interactions. Psychological safety did not affect the reflective thinking of nursing students.

CONCLUSIONS

Nurse educators should design and implement strategies to maintain effective debriefing processes, improve communication skills, and facilitate student-to-student and instructor-to-student interactions to promote reflective thinking during simulation debriefing.

Engagement in Distance Healthcare Simulation Debriefing: A Concept Development and Framework

SUMMARY STATEMENT

Understanding distance health care simulation debriefing is crucial in light of the increased use of and emerging technology in remote education for reasons of accessibility, global collaboration, and continuous professional development. This article is a confluence of a number of previously published studies designed to serve as a foundation to develop the concept of "engagement in health care distance simulation debriefing" using the Schwartz-Barcott & Kim hybrid mixed methods model. The model uses 3 phases: theoretical (a realist systematic review of the literature), fieldwork (3 exploratory studies and 2 pilot experimental studies), and analytical (analysis of the theoretical and fieldwork findings through expert discussion). This study defines the concept of "engagement in health care simulation distance debriefing" through exploration of its uses and analysis in literature, interviews, and expert review. The hybrid approach to the analysis provided rigor to generate a new, reflective conceptual model. This conceptual model defines the complexity in engagement during distance debriefing and helps shape the development of simulationists and debriefers, leading to more effective distance simulations and debriefings.

Strengthening critical thinking through debriefing - experiential learning theory: A case study

BACKGROUND

There is a dire need to strengthen students' critical thinking in clinical training since it is an essential skill in clinical practice to optimize patient care. Debriefing is a formal or informal post-activity discussion that aims to improve learning outcomes, including critical thinking in clinical practice. There is a lack of research that focuses on students' experiences of debriefing to promote critical thinking in the South African context using experiential learning theory as a theoretical lens.

OBJECTIVE

This study aimed to explore South African students' lived experiences of debriefing to improve critical thinking.

MATERIALS AND METHOD

The author employed a qualitative single-case study design within an interpretivist paradigm. A purposive sampling technique was adopted. Six participants were recruited for this study. The author invited the participants to participate in semi-structured interviews. Data were analyzed through the six-step data analysis framework proposed by Creswell. To ensure the trustworthiness, the author employed multiple techniques to improve the credibility, conformability, dependability, and transferability of this study. These techniques included a well-planned research design and methods, thick descriptions of data, and an audit trail that was audited by a second coder.

RESULTS

The findings revealed that participants shared positive experiences toward debriefing and furthermore debriefing through optimized student engagement and improved learning outcomes. This study also revealed that students experienced less stress in group debriefings. However, this study also identified some challenges in conducting debriefing. The challenges were primarily related to incompetent facilitators, inappropriate duration of debriefing sessions, and limited space in the clinic. Moreover, small group debriefing is recommended.

CONCLUSION

Debriefing is an effective pedagogical approach to optimize critical thinking in clinical practice. It is recommended that debriefing should be implemented as a norm in clinical training at higher education institutions. Further studies are recommended to be conducted at national and international levels.

Comparing reflection levels between facilitator-led and student-led debriefing in simulation training for paramedic students

BACKGROUND

Simulation in healthcare attempts to create relevant representations of patient encounters. It provides experiential learning, bridging typical classroom activities and clinical practice. This study aims to investigate whether the principle of Peer-Assisted Learning can be used in simulation by letting simulation-experienced paramedic students prepare, deliver, and debrief their own simulations, with minimal faculty assistance. This could be a way to support student learning by being involved in teaching, and it might at the same time optimise the cost-effectiveness of simulation-based training.

METHODS

This observational non-inferiority study compared reflection levels between facilitator-led and student-led simulation and debriefing, between scenario types, and compared the number of turns in which students are involved in both settings. Third-year Bachelor in Paramedic Science students' debriefings were filmed and transcribed. The degree of reflection in students' statements was rated according to a modified version of Fleck's analytical framework of reflection levels, assigning scores from lowest (R0 description) to highest (R4 critical reflection). Facilitator-led and student-led debriefings were compared using chi-square tests. Scenarios were also analysed according to type (paediatric emergencies and complex assessments) regardless of who led the simulation.

RESULTS

Ten facilitator-led and 12 student-led debriefings were analysed. Students gave 682 (49%) contributions in the facilitator-led debriefings, and 702 (51%) contributions in student-led debriefings. Comparison of reflection levels between facilitator-led and student-led debriefings was respectively: R0-level 32.7% vs 33.8%, R1-level 44.0% vs 44.3%, R2-level 14.7% vs 17.1%, R3-level 0.1% vs 1.3%, and R4-level 0.1% vs 0.1%. There were no statistically significant differences in reflection levels between facilitator-led and student-led debriefings (p = 0.178). Comparing the reflection levels between the scenarios on "paediatric emergencies" and "complex assessments", the results were respectively: R0-level 35.4% vs. 31.7%-level, R1-level 45.3% vs. 43.3%-level, R2-level 13.4% vs. 17.8%, R3-level 0.5% vs. 0.9%, and R4-level 0.0% vs. 0.3%. These differences were statistically significant (p = 0.010). No significant differences in engagement were found between debriefings led by a student or a facilitator, when measuring the number of turns in the conversations.

CONCLUSIONS

Facilitator-led and student-led debriefings resulted in equivalent reflection levels amongst students. Student-led simulation is potentially a cost-effective supplement to regular simulation within a healthcare degree program. Since complex scenarios provided higher reflection levels than paediatric, scenario design might influence reflection levels.

Measuring teamwork for training in healthcare using eye tracking and pose estimation

Teamwork is critical for safe patient care. Healthcare teams typically train teamwork in simulated clinical situations, which require the ability to measure teamwork via behavior observation. However, the required observations are prone to human biases and include significant cognitive load even for trained instructors. In this observational study we explored how eye tracking and pose estimation as two minimal invasive video-based technologies may measure teamwork during simulation-based teamwork training in healthcare. Mobile eye tracking, measuring where participants look, and multi-person pose estimation, measuring 3D human body and joint position, were used to record 64 third-year medical students who completed a simulated handover case in teams of four. On one hand, we processed the recorded data into the eye contact metric, based on eye tracking and relevant for situational awareness and communication patterns. On the other hand, the distance to patient metric was processed, based on multi-person pose estimation and relevant for team positioning and coordination. After successful data recording, we successfully processed the raw videos to specific teamwork metrics. The average eye contact time was 6.46 s [min 0 s - max 28.01 s], while the average distance to the patient resulted in 1.01 m [min 0.32 m - max 1.6 m]. Both metrics varied significantly between teams and simulated roles of participants (p < 0.001). With the objective, continuous, and reliable metrics we created visualizations illustrating the teams' interactions. Future research is necessary to generalize our findings and how they may complement existing methods, support instructors, and contribute to the quality of teamwork training in healthcare.