Audience segmentation to disseminate behavioral health evidence to legislators: an empirical clustering analysis

Table 5 Adjusted associations between audience segment membership, demographic characteristics, and strong support for state behavioral health parity laws. Multi-level binary logistic regression, US state legislators, 2017 (N = 475)

	AOR (95% CI)
Audience segment
Budget-oriented skeptics with stigma	Ref.
Passive supporters	3.47 (1.83, 6.60)*
Action-oriented supporters	6.67 (3.30, 13.46)*
Gender
Female	Ref.
Male	0.87 (0.48, 1.57)
Political party
Republican	Ref.
Democrat	3.30 (1.41, 7.71)*
Other	2.91 (0.46, 18.25)
Region
West	Ref.
Midwest	1.61 (0.64, 4.08)
Northeast	1.48 (0.58, 3.78)
South	0.94 (0.40, 2.21)
Current health committee member
No	Ref.
Yes	1.79 (1.01, 3.18)*
Years as legislator
≤ 5	Ref.
≥ 6	0.78 (0.45, 1.34)
Social ideology
Conservative	Ref.
Moderate	2.90 (1.35, 6.26)*
Liberal	7.22 (2.74, 18.98)*
Fiscal ideology
Conservative	Ref.
Moderate	0.87 (0.39, 1.91)
Liberal	0.96 (0.40, 2.33)
Education
≥ Postgraduate	Ref.
≤ College	1.25 (0.73, 2.15)

aOR adjusted odds ratio, CI confidence interval
*p ≤ .05. Adjusted for gender, political party, region, current health committee membership, years as legislator, social ideology, fiscal ideology, and education. Multi-level regressions (state as higher level and legislators as lower level) with state-level random intercepts which accounted for correlated responses of legislators from the same state