And really why should Physicans or anyone else have to learn these distinctions?
I would argue that if a physician is going to be involved in the oversight and direction of prehospital care, then they should know the level of skill and training of *their* providers. Not a group of paramedics in San Diego, King County, or Victoria, Australia. The fact that the group is heterogenous means that what works in one setting may not work in another. This falls under system design and CQI/QA.
We all have the same cert. It our own fault (as a professoin) that we do not promote a better standard of education andcare.
But we don't. The guys in Victoria, Australia don't have the same cert as the guys in San Diego. And is it reasonable to say that the paramedic at King County has the same cert as the paramedic in San Diego? Yes, they're both paramedics in the US, they may both be NREMTPs, but is their initial training, ongoing training, skill exposure and continuing education even remotely similar?
What about a Critical Care Paramedic in Ontario (4 years), an ambulance-nurse in Sweden (5 years), etc? The world doesn't end at the borders of the US, yet the findings from these studies are often extended to systems that are completely different.
I understand the hesitancy to see complex procedures in the hands of providers who represent such a range of quality.
So do I, but I think there's a paucity of research in this area (1 RCT on RSI; 1 RCT on pediatric intubation showing equipoise). I don't think that this question has been settled.
The Victoria study suggests that prehospital RSI can be performed safely (nonsignificant mortality difference), and results in improved neurological outcome (*which is the outcome that really matters). This is a study that excluded patients that were flown. Granted, there's limitations:
* These paramedics were highly trained, worked in a system with strong QI/QA, and underwent a more rigorous training program than *most* (but not all) US paramedics. We don't know if these results are generalizable to other systems.
* The confidence interval for the odds ratio is 1.00-1.64, making it hard to know how large the benefit is. The authors themselves note that a one patient difference in either group takes the p-value from 0.46 to 0.6
So, we don't know the full extent of the benefit, there's a 1 in 20 chance it's spurious, and it's not clear whether you can reproduce this elsewhere.