THREAD: 5yrs ago we began the TRUST study. Excited to see it finally published in @BMJ_Qual_Saf . This kicked off my interest in using simulation to support patient safety and simulation-informed clinical design.
My mentor, @HumanFact0rz taught me the importance of pitching an idea to the right people. When we started simulation for systems eval & patient safety was uncommon
4/ Having an easily memorable name to a project is key. Who doesn’t want to be part of a study called “TRUST”! But seriously, naming the study was key when communicating to stakeholders.
5/ We spent hours building capacity and interest in what was previously thought to be “impossible” = regular, unannounced video-recorded in situ simulations at a Level 1 trauma centre. This represented a big shift for us. It was novel, but now our dept fully embraces #simulation
6/ I wont lie, we did reframe questions of “can we do this?” to statement/question combos like “when we run the simulation, how can we get your support for this important study?”
7/ We pulled together a multi-disciplinary team which was critical. Having a research coordinator, like the amazing @MelissaAMcG was invaluable. She consented 100s of possible participants and was a logistical magician.
8/ A key partnership was with human factors experts - Mark Fan & Patricia Trbovich. They opened our eyes to new ways of looking at work.
Work as imagined is rarely the same as work as done.
9/ Now the study.
We believe that with simulation there’s no such thing as “rare” events anymore. We can literally recreate a surgical airway every week if needed. We prospectively designed cases to elicit LSTs based on review of adverse events
10/ This can be conceptualized as Living M&Ms. Rather than just look back at problems (relying on recall), the ability to simulate the same case repeatedly, varying a few environmental, system factors, generates a rich data set that can be inputted towards system improvement
11/ Using a framework analysis allowed us to identify how a single LST event could be related to multiple themes. This is important once we look to solutions. We also prioritized each LST theme using a hazard matrix
12/ We identified 7 themes, further classified into 38 subthemes. This is much more detailed than existing literature as its grounded on HF expert analysis.
13/ A deep understanding of each LST is critical. E.g. significant delay to perform a cric in one session. If only a comms issue then solution could be more team training…but physical workspace was also identified, so we redesigned the workspace which improves both problems.
14/ Whats great about this project is that we used our findings to support the design of our new trauma bay. This is what we’re striving for… research that translates to tangible outputs to patients & clinicians
Thank you to everyone who participated & supported this project.
• • •
Missing some Tweet in this thread? You can try to
force a refresh
This SR/MA provides a more fulsome look at the data including this brand new evidence.
2/
The results?
In pooled analysis, TXA likely has no effect on mortality or disability.
A few considerations when I try to contextualize the clinicaly relevance. Not all TBI are equal. GCS 3 =/= GCS 12. A SDH is not the same as SAH or EDH etc. So their are limitations here
3/
For example, my kids go to school, so they are exposed to ~20-30 people/day. An all or nothing approach says it doesn’t matter how I socialize because I can’t achieve perfection (isolate the way public health advises) since my kids are in school.
3/
We need more of this type of work. Exceptional, large scale simulation that looks to observe behavior within various models of distancing and precautions.
cc: @HumanFact0rz 1/ npr.org/sections/coron…
While the conditions won't be perfectly replicated, we can't wait or expect perfection. What's more important is understanding people's behavior in these environments and how various interventions may impact (positively or negatively).
2/
Too often protocols loook good on paper but then implementation results in many unintended consequences...Here's a host of examples. fs.blog/2018/02/uninte…
Simulation helps us observe & understand real world implementation then make data informed changes
3/
I've read with interest the proposal by @SickKidsNews to conduct simulations about the #covid19 back to school experience. I think this is an excellent concept which wrote about about a while ago.
Many people have noted concerns about the validity of the study given it will be conducted in private schools (appropriate criticism) though probably worth knowing whether they tried to study in public schools and whether any road blocks.
I'm curious to hear more from the study investigators about what looks like the primary outcome of the study... which seems to be related to glow in the dark liquid transmission through out the class. This appears to overemphasize surface transmission rather than person to person
There's a growing application of simulation to identify latent safety threats e.g. equipment, interpersonal & physical space issues especially during #covid19
Typically data is gathered via debriefing (i.e. feedback from participants after simulation)
2/
We observed that even when explicitly asked about challenges posed by the physical space & equipment, the discussions veered back towards teamwork/communication. Even our follow up questions gravitated away from the physical space/equipment issues