Key points are not available for this paper at this time.
32%), county (8%) and military (4%).Consensus was evaluated using levels established in a prior study (Table 1).Two models were tested to determine their ability to predict consensus rankings: a point-based system derived by an author and a linear regression model.Data were compared to a prior study with a cutoff of ±10% as the threshold for a meaningful difference in agreement/prediction.Results: Faculty consensus in this larger and more diverse cohort was slightly below the level measured previously.However, no differences were above the 10% threshold (Table 1).Predictive models were similarly stable with only Tight agreement exceeding the 10% threshold (Table 1) and strong correlation between predicted and consensus rankings (Figure 1).Conclusion: Consensus regarding SLOE competitiveness and the ability of algorithms to predict rankings remained strong in a larger and more diverse sample than previously studied.This suggests a common understanding among EM faculty regarding SLOE competitiveness.
Sweere et al. (Sun,) studied this question.