Development and psychometric evaluation of a behavioral marker system for circulating nurse's non-technical skills

2021 ◽  
Vol 23 ◽  
pp. 100167
Author(s):  
Reza Kalantari ◽  
Zahra Zamanian ◽  
Mehdi Hasanshahi ◽  
Jamshid Jamali ◽  
Ali Akbar Faghihi ◽  
...  
Author(s):  
Victor Fernando PlÁcido da ConceiçÌo ◽  
J.B. Mendes ◽  
M.F. Teodoro ◽  
Joakim Dahlman

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Parisa Moll-Khosrawi ◽  
Anne Kamphausen ◽  
Wolfgang Hampe ◽  
Leonie Schulte-Uentrop ◽  
Stefan Zimmermann ◽  
...  

Author(s):  
R. Flin ◽  
S. Yule ◽  
S. Paterson-Brown ◽  
N. Maran ◽  
D. Rowley ◽  
...  

2011 ◽  
Vol 49 (10) ◽  
pp. 1381-1387 ◽  
Author(s):  
Paul O’Connor ◽  
W. Max Long

2018 ◽  
Vol 5 (3) ◽  
pp. 130-139 ◽  
Author(s):  
Ailsa L Hamilton ◽  
Joanne Kerins ◽  
Marc A MacCrossan ◽  
Victoria R Tallentire

IntroductionGood non-technical skills (NTS) are critical to the delivery of high-quality patient care. It is increasingly recognised that training in such skills should be incorporated into primary medical training curricula. This study aimed to develop an NTS behavioural marker system (BMS), specifically applicable to medical students, for use within simulated acute care scenarios.MethodsThe methodology used to develop other BMS was adopted and modified. Following ethical approval, 16 final year medical students participated in acute care simulated scenarios. Semistructured interviews were performed to gauge the understanding of NTS. A panel meeting of subject matter experts was convened to translate key NTS into skill elements and observable behaviours. A second expert panel was consulted to refine aspects of the BMS. Further refinement and initial face validity was undertaken by a third panel of experts using the prototype BMS to observe prerecorded simulation scenarios.ResultsFive categories of NTS were identified: situation awareness, teamwork and communication, decision-making and prioritisation, self-awareness, and escalating care. Observable behaviours in each category describe good and poor performance. Escalating care was identified as a unique component that incorporated behaviours related to each of the other four skill categories. A 5-point rating scale was developed to enable both peer-to-peer and tutor-to–student feedback.ConclusionThe Medi-StuNTS (Medical Students’ Non-Technical Skills) system is the first BMS for the NTS of medical students. It reinforces the importance of escalating care effectively. It provides an exciting opportunity to provide feedback to medical students and may ultimately aid their preparedness for professional practice.


2012 ◽  
Vol 19 (2) ◽  
pp. 317-323 ◽  
Author(s):  
Lucy Mitchell ◽  
Rhona Flin ◽  
Steven Yule ◽  
Janet Mitchell ◽  
Kathy Coutts ◽  
...  

Author(s):  
Victor Fernando PlÁcido da ConceiçÌo ◽  
JoÌo Cruz Basso ◽  
Custodio Lopes ◽  
Joakim Dahlman

2020 ◽  
Vol 7 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Emma Claire Phillips ◽  
Samantha Eve Smith ◽  
Benjamin Clarke ◽  
Ailsa Lauren Hamilton ◽  
Joanne Kerins ◽  
...  

BackgroundThe Medical Students’ Non-Technical Skills (Medi-StuNTS) behavioural marker system (BMS) is the first BMS to be developed specifically for medical students to facilitate training in non-technical skills (NTS) within immersive simulated acute care scenarios. In order to begin implementing the tool in practice, validity evidence must be sought. We aimed to assess the validity of the Medi-StuNTS system with reference to Messick’s contemporary validity framework.MethodsTwo raters marked video-recorded performances of acute care simulation scenarios using the Medi-StuNTS system. Three groups were marked: third-year and fourth-year medical students (novices), final-year medical students (intermediates) and core medical trainees (experts). The scores were used to make assessments of relationships to the variable of clinical experience through expert–novice comparisons, inter-rater reliability, observability, exploratory factor analysis, inter-rater disagreements and differential item functioning.ResultsA significant difference was found between the three groups (p<0.005), with experts scoring significantly better than intermediates (p<0.005) and intermediates scoring significantly better than novices (p=0.001). There was a strong positive correlation between the two raters’ scores (r=0.79), and an inter-rater disagreement of more than one point in less than one-fifth of cases. Across all scenarios, 99.7% of skill categories and 84% of skill elements were observable. Factor analysis demonstrated appropriate grouping of skill elements. Inconsistencies in test performance across learner groups were shown specifically in the skill categories of situation awareness and decision making and prioritisation.ConclusionWe have demonstrated evidence for several aspects of validity of the Medi-StuNTS system when assessing medical students’ NTS during immersive simulation. We can now begin to introduce this system into simulation-based education to maximise NTS training in this group.


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