scholarly journals P103 Investigation of nursing students’ clinical decision making using high fidelity simulation

2017 ◽  
Author(s):  
Naim Abdulmohdi
Keyword(s):  
Decision Making ◽  
Nursing Students ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
High Fidelity ◽  
High Fidelity Simulation

Effect of high fidelity simulation on clinical decision-making among nursing students

2021 ◽  
pp. 1-9
Author(s):  
Ahmad Ayed ◽  
Malakeh Z. Malak ◽  
Rsmieh M. Alamer ◽  
Ahmad Batran ◽  
Basma Salameh ◽  
...  
Keyword(s):  
Decision Making ◽  
Nursing Students ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
High Fidelity ◽  
High Fidelity Simulation

scholarly journals The use of multiple-criteria decision-making theory to measure students’ perceptions of high-fidelity simulation

2017 ◽  
Vol 3 (3) ◽  
pp. 88-93 ◽  
Author(s):  
Maureen Anne Jersby ◽  
Paul Van-Schaik ◽  
Stephen Green ◽  
Lili Nacheva-Skopalik
Keyword(s):  
Decision Making ◽  
Clinical Practice ◽  
Repeated Measures ◽  
Clinical Decision Making ◽  
Learning Experience ◽  
Clinical Decision ◽  
High Fidelity ◽  
High Fidelity Simulation ◽  
Initial Exposure ◽  
Repeated Measures Design

BackgroundHigh-Fidelity Simulation (HFS) has great potential to improve decision-making in clinical practice. Previous studies have found HFS promotes self-confidence, but its effectiveness in clinical practice has not been established. The aim of this research is to establish if HFS facilitates learning that informs decision-making skills in clinical practice using MultipleCriteria DecisionMaking Theory (MCDMT).MethodsThe sample was 2nd year undergraduate pre-registration adult nursing students.MCDMT was used to measure the students’ experience of HFS and how it developed their clinical decision-making skills. MCDMT requires characteristic measurements which for the learning experience were based on five factors that underpin successful learning, and for clinical decision-making, an analytical framework was used. The study used a repeated-measures design to take two measurements: the first one after the first simulation experience and the second one after clinical placement. Baseline measurements were obtained from academics. Data were analysed using the MCDMT tool.ResultsAfter their initial exposure to simulation learning, students reported that HFS provides a high-quality learning experience (87%) and supports all aspects of clinical decision-making (85%). Following clinical practice, the level of support for clinical decision-making remained at 85%, suggesting that students believe HFS promotes transferability of knowledge to the practice setting.ConclusionOverall, students report a high level of support for learning and developing clinical decision-making skills from HFS. However, there are no comparative data available from classroom teaching of similar content so it cannot be established if these results are due to HFS alone.

scholarly journals Evaluation of Heart Rate Assessment Timing, Communication, Accuracy, and Clinical Decision-Making during High Fidelity Simulation of Neonatal Resuscitation

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
Win Boon ◽  
Jennifer McAllister ◽  
Mohammad A. Attar ◽  
Rachel L. Chapman ◽  
Patricia B. Mullan ◽  
...  
Keyword(s):  
Decision Making ◽  
Heart Rate ◽  
Neonatal Intensive Care ◽  
Clinical Decision Making ◽  
Neonatal Resuscitation ◽  
Clinical Decision ◽  
High Fidelity ◽  
High Fidelity Simulation ◽  
Chi Square ◽  
Chi Square Analysis

Objective. Accurate heart rate (HR) determination during neonatal resuscitation (NR) informs subsequent NR actions. This study’s objective was to evaluate HR determination timeliness, communication, and accuracy during high fidelity NR simulations that house officers completed during neonatal intensive care unit (NICU) rotations.Methods. In 2010, house officers in NICU rotations completed high fidelity NR simulation. We reviewed 80 house officers’ videotaped performance on their initial high fidelity simulation session, prior to training and performance debriefing. We calculated the proportion of cases congruent with NR guidelines, using chi square analysis to evaluate performance across HR ranges relevant to NR decision-making: <60, 60–99, and ≥100 beats per minute (bpm).Results. 87% used umbilical cord palpation, 57% initiated HR assessment within 30 seconds, 70% were accurate, and 74% were communicated appropriately. HR determination accuracy varied significantly across HR ranges, with 87%, 57%, and 68% for HR <60, 60–99, and ≥100 bpm, respectively (P<0.001).Conclusions. Timeliness, communication, and accuracy of house officers’ HR determination are suboptimal, particularly for HR 60–100 bpm, which might lead to inappropriate decision-making and NR care. Training implications include emphasizing more accurate HR determination methods, better communication, and improved HR interpretation during NR.

scholarly journals SP2.2.9Using high fidelity simulation to improve hospital-based medical student education

2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
Marc Huttman ◽  
Hui Fen Koo ◽  
Charlotte Boardman ◽  
Michael Saunders
Keyword(s):  
Medical Students ◽  
Clinical Decision Making ◽  
Medical Student Education ◽  
District General Hospital ◽  
Clinical Decision ◽  
Free Text ◽  
High Fidelity ◽  
High Fidelity Simulation ◽  
Qualitative Feedback ◽  
Before And After

Abstract Introduction The evidence shows that experiential learning has multiple benefits in preparing medical students for foundation training. An immersive ‘on call simulation’ session was designed for final-year medical students at a district general hospital. The aim of this project was to assess how beneficial the sessions were and how they can be improved. Methods Pairs of students received 12 bleeps over 2 hours directing them to wards where mock patient folders were placed. Students prioritised bleeps involving deteriorating patients, chasing results and dealing with nursing queries. Simulated senior input was available from the session facilitator. A structured debrief session allowed discussion of each case. Quantitative feedback was gathered using a sliding scale (measured in percentage) for confidence before and after the session. Qualitative feedback was gathered using a free-text box. Results Four sessions were held between October 2020 and January 2021 for a total of 28 students, of which 26 provided feedback. Average confidence increased from 38% to 66%. 96% of students were ‘extremely satisfied’ with the session. Feedback included: “Incredibly immersive and fun” and “I was made to think through my priorities and decisions”. Improvements could be made by using actors/mannequins to simulate unwell patients and by use of skills models. Conclusion High fidelity simulation training is valuable and should be considered a standard part of the student curriculum. It is particularly suited to final year students who have the required clinical knowledge for foundation training but are still developing confidence in clinical decision making and prioritisation.

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