Fig. 3

Preference Weights by Latent Class Segment. Note: N = 343. Segments and preference weights (i.e., part worth utilities) derived via latent class analysis. Values are logit scaled; strategies with higher preference weights are more preferred. Error bars indicate 95% confidence intervals. When 95% confidence intervals do not overlap between two strategies, the strategy with the higher value is significantly more preferred at p < .05. Segment labels reflect the type of implementation support prioritized by the segment relative to others. Segment 1, Support me through Financial Incentives (Compensation), included n = 121 participants; segment 2, Support me through Technology, included n = 80 participants; segment 3, Support me through Autonomy, included n = 52 participants; and segment 4, Support me through Consultation, included n = 90 participants