Simulcast Journal Club Podcast 13 Monthly Wrap

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Welcome to the Simulcast Journal Club Podcast and monthly wrap post.

Please read our pdf summary of the Journal Club article, the month’s discussion and our expert commentary here.

JOURNAL CLUB

Ben and Vic discuss the paper of the month. 

Kumar A, Sturrock S, Wallace EM, et al. Evaluation of learning from Practical Obstetric Multi-Professional Training and its impact on patient outcomes in Australia using Kirkpatrick’s framework: a mixed methods study. BMJ Open 2018;8:e017451. doi:10.1136/bmjopen-2017-017451 

 

And a few other sim papers across a range of topics and research methods, all in the theme of ‘measurement’. 

Jiang, Bailin; Ju, Hui; Zhao, Ying; Yao, Lan; Feng, Yi. Comparison of the Efficacy and Efficiency of the Use of Virtual Reality Simulation with High-Fidelity Mannequins for Simulation-Based Training of Fiberoptic Bronchoscope Manipulation. Simulation in Healthcare: April 2018 – Volume 13 – Issue 2 – p 83–87. doi: 10.1097/SIH.0000000000000299 

Seelandt JC, Grande B, Kriech S, et al DE-CODE: a coding scheme for assessing debriefing interactions BMJ Simulation and Technology Enhanced Learning Published Online First: 08 November 2017. doi: 10.1136/bmjstel-2017-000233 

Pawar S, Jacques T, Deshpande K, et al. Evaluation of cognitive load and emotional states during multidisciplinary critical care simulation sessions. BMJ Simulation and Technology Enhanced Learning Published Online First: 07 December 2017. doi:10.1136/bmjstel-2017-000225 

 

Next month Ben is off on a holiday…..  

So we’ll be back with journal club in June, when we’ll also be coming to you from Bilbao Spain for SESAM conference! 

Vic 

2 thoughts on “Simulcast Journal Club Podcast 13 Monthly Wrap”

  • @nickharveysmith

    Great pod-cast as always.

    I think the Pawers paper raises an interesting point that I don’t think many people think of when designing a simulation and that is that the extrinsic (bad) cognitive load of participating in a simulation drastically reduces the amount of generative (good) cognitive load available for thinking – It’s why when people are watching a simulation it seems so obvious what to do and yet when they do one their minds go to mush. If you want people to learn new things from a simulation then this extrinsic load needs to be kept low.

    In clinical practice I feel people need to think about how to reduce extrinsic load as much as possible when handling high cognitive load situations and sim may be a good area to help them develop these strategies.

    • Victoria Brazil

      Thanks Nick

      Really agree.
      Would be nice to help use this intentionally in the design phase for scenarios/ session, rather than just realising thats why my scenario didn’t work in retrospect !

      I suspect we can actually predict to a fair extent which is going to be ‘good’ and ‘bad’ cognitive load, but a few we under-appreciate…
      – trying to make a diagnosis when the physical cues are so poor – I don’t think sim is good modality for many ‘diagnostic’ cases
      – not knowing where , when or who we are as participants
      – not knowing if ‘that was part of the sim, or real ?’
      – the whole ‘evaluation apprehension’ thing

      Pre-briefing helps but also needs to pay particular attention to those things

      Thank again for your interest Nick

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