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1.  A New Audience Segmentation Tool for African Americans: The Black Identity Classification Scale 
Journal of health communication  2010;15(5):532-554.
Many health communications target African Americans in an attempt to remediate race-based health disparities. Such materials often assume that African Americans are culturally homogeneous; however, research indicates that African Americans are heterogeneous in their attitudes, behaviors, and beliefs. The Black Identity Classification Scale (BICS) was designed as a telephone-administered tool to segment African American audiences into 16 ethnic identity types. The BICS was pretested using focus groups, telephone pretests, and a pilot study (n=306). The final scale was then administered to 625 Black adults participating in a dietary intervention study, where it generally demonstrated good internal consistency reliability. The construct validity of the BICS was also explored by comparing participants’ responses to culturally associated survey items. The distribution of the 16 BICS identity types in the intervention study is presented, as well as select characteristics for participants with core identity components. Although additional research is warranted, these findings suggest that the BICS has good psychometric properties and may be an effective tool for identifying African American audience segments.
PMCID: PMC3151736  PMID: 20677057
2.  Adapting research-tested computerized tailored interventions for broader dissemination and implementation 
This paper focuses on the process for adapting existing legacy computerized tailored intervention (CTI) programs and implications for future development of CTI to ensure that interventions can be disseminated and implemented in different settings. A significant amount of work is required to adapt existing CTI for new research applications and public health interventions. Most new CTI are still developed from scratch, with minimal re-use of software or message content, even when there are considerable overlaps in functionality. This is largely a function of the substantial technical, organizational, and content-based barriers to adapting and disseminating CTI. CTI developers should thus consider dissemination and re-use early in the design phase of their systems. This is not intended to be a step-by-step guide on how to adopt or disseminate research-tested CTI, but rather a discussion that highlights issues to be considered for adapting and disseminating evidence-based CTI.
PMCID: PMC3717708  PMID: 24073035
Computerized; Tailored; Research-tested; Evidence-based; Interventions; Dissemination; Implementation

Results 1-2 (2)