Table 1.
Summary of community and participant characteristics.
Fig 1.
Pre-post interview changes in system insights.
Mention frequency refers to the number of times a code was mentioned within each interview. Blue dots represent pre-interview code mentions per interview, weighted by frequency (the larger the dot, the more it was mentioned across interviews at that frequency). Blue dashes represent the average code mention frequency across pre-intervention interviews. Green dots represent post-interview code mentions per interview, weighted by frequency (the larger the dot, the more it was mentioned across interviews at that frequency). Green dashes represent the average code mention frequency across post-intervention interviews.
Fig 2.
Pre-post interview changes in systems thinking and action.
Mention frequency refers to the number of times a code was mentioned within each interview. Blue dots represent pre-interview code mentions per interview, weighted by frequency (the larger the dot, the more it was mentioned across interviews at that frequency). Blue dashes represent the average code mention frequency across pre-intervention interviews. Green dots represent post-interview code mentions per interview, weighted by frequency (the larger the dot, the more it was mentioned across interviews at that frequency). Green dashes represent the average code mention frequency across post-intervention interviews.
Fig 3.
Heatmap of pre-interview changes in system insights, health equity thinking, & healthy equity action.
Code intersection frequency changes fall along a spectrum of dark red (decreased the most, including no change) to dark green (increased the most).
Fig 4.
Heatmap of post-interview changes in system insights, health equity thinking, & healthy equity action.
Code intersection frequency changes fall along a spectrum of dark red (decreased the most, including no change) to dark green (increased the most).
Fig 5.
Heatmap of pre-post interview changes in system insights, health equity thinking, & healthy equity action.
Code intersection frequency changes fall along a spectrum of dark red (decreased the most) to white (no change) to dark green (increased the most). An algorithm was used to color each cell based on the magnitude of change from pre- to post-interview to help guide result interpretation (e.g., -3 indicates a larger decrease from pre- to post-interview than -2).
Table 2.
Supporting quotes at the intersection of system insights and health equity thinking and action.