About the SMART Tool

The AACP Board is pleased to share the Self-Assessment for Modification of Anti-Racism Tool

This tool was created in the aftermath of the renewed national dialogue around structural racism following the high - profile deaths of several Black individuals at the hands of law enforcement in 2020.  

It is intended for use by organizations interested in self-directed, sustained anti-racism work.

The AACP is making this available to its membership for comment, pilots etc. The initial availability is 6 months, to facilitate the collection of data, feedback and recommendations.

The Board will review this feedback and determine next steps.

Access the SMART Tool

Download the SMART TOOL

The tool is intended to encourage behavioral health providers to implement concrete organizational change in multiple domains.

SMART is the first tool designed specifically to help community behavioral health organizations to assess the extent to which their organizational and clinical processes are affected by racism, and to use that information to create measurable progress in becoming anti-racist at all levels.

Watch our SMART Tool 101 Webinar

In this webinar, the presenters will describe the process by which SMART was developed, including its grounding in input from community mental health providers and existing health inequity frameworks. The domains and items of SMART as well as its application process will be outlined. Presenters will also provide lessons from on-the-ground applications of SMART in diverse community mental health settings.

Participants of the program will be able to:

  • Describe the relevance of and importance of addressing structural racism in the community mental health setting

  • Understand the 5 domains of the Self-Assessment for Modification of Anti-Racism Tool (SMART) tool, including literature evidence supporting the selection of SMART’s domains and items

  • Understand the on-the-ground experience of applying SMART in diverse community mental health settings

Watch the webinar: