Using the Clearinghouse’s database of programs, the present study seeks to determine the relationships among program placements, topics, and sectors using chi-square analysis. Research questions were, are programs in any particular sector more likely to demonstrate evidence of effectiveness or more likely to lack evidence; are programs that target any particular population more likely to demonstrate evidence of effectiveness; are programs that address certain topics more likely to demonstrate evidence of effectiveness?
A total of 663 behavioral health programs vetted by the Clearinghouse were used in the analysis, 324 obesity prevention programs were excluded. Levels of effectiveness were broken into four categories: (1) Evidence of Effectiveness (i.e., Effective, Promising, and Unclear +), (2) Conflicting Evidence (i.e., Unclear Ø with Mixed Results), (3) No Evidence, and (4) Evidence of Ineffectiveness (i.e., Unclear - and Ineffective). The largest portion (49%) of programs had Evidence of Effectiveness (N = 329); 11% (N=72) had Conflicting Evidence; 35% (N=236) had No Evidence; and 5% of programs (N=26) had Evidence of Ineffectiveness. Results indicate that programs that are community-based are more likely to have evidence of effectiveness (p = .005), programs with conflicting evidence were more likely to be school-based programs (p = .04), and Faith-based programs were more likely to have no evidence of effectiveness (p<.001). Programs covering behavioral problems (p<.001), depression (p<.001), emotional competency (p=.018), and social competency (p=.008) were more likely to have evidence of effectiveness. Findings will highlight potential gaps within existing programming to inform researchers and policymakers.