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

ABSTRACT:

Background

Elected officials (e.g., legislators) are an important but understudied population in dissemination research. Audience segmentation is essential in developing dissemination strategies that are tailored for legislators with different characteristics, but sophisticated audience segmentation analyses have not been conducted with this population. An empirical clustering audience segmentation study was conducted to (1) identify behavioral health (i.e., mental health and substance abuse) audience segments among US state legislators, (2) identify legislator characteristics that are predictive of segment membership, and (3) determine whether segment membership is predictive of support for state behavioral health parity laws.

Methods

Latent class analysis (LCA) was used. D

SUBMITTER: Purtle J 

PROVIDER: S-EPMC6148796 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature