[Jeriko]

0.03 is the odds ratio (a measure of effect size, an odds ratio of 1 would mean the treatment and control arms had the same rate of ICU admittance). The p value is 0.08 from here "CI:-0.30 - 0.03 p:0.08." which captures the likelihood the treatment had an effect.

That said, just looking at p values and applying a cutoff at 0.05 is pretty bad practice that is getting a lot of heat thanks to the replication crisis (does it make sense to behave as though p=0.08 is not true and something at p=0.049 is true? almost certainly not). If you get a value in this range and a huge effect size then it's a really good idea to repeat the experiment with way more data. It's also a common stats error to act as though p>0.05 is the same as knowing something DOES NOT work, all you can say is this specific study wasn't able to show that it does work with 95% confidence.