About Countywide Prevention Metrics (CPM)
Purpose of CPM
To achieve the goal of the Countywide Prevention Plan, we must 1) ensure that strategic goals are aligned to operational goals and 2) be able to track our progress in achieving these goals. To that end, OCP and CIO, with input and guidance from County department partners and critical stakeholders, are working to identify a set of impact and actionable indicators to serve as guideposts for strategic and operational improvements in the County's broad-based prevention programming and policies. The indicators identified in this preliminary release of the CPM are a starting point for common prevention-related measures and will evolve over time.
CPM Ecological Framework
To capture the holistic goal of the Prevention Plan, we developed the Countywide Prevention Metrics ecological framework. The ecological framework comprises three levels (strong children, strong families, and strong communities) encompassing three dimensions (health, safety, and development/well-being). This framework views outcomes as arising from the complex interaction among many factors at three levels—the individual (strong children), the relationship (strong family), and the community where social relationships occur (strong community), with the implication that it is necessary to act across multiple levels at the same time to sustain prevention efforts. The framework underscores the need to reduce risk factors and support protective factors across all three levels throughout the three dimensions, and to develop strategies to do so through broad-based prevention programming.
CPM Impact Indicators
As further described under Methodology and Data Sources, the team identified a set of impact and actionable indicators within this ecological framework. The list of impact indicators, organized within the ecological framework, is below. The Countywide Prevention Metrics Framework’s impact and actionable indicators will serve as guideposts for strategic and operational improvements in the County's broad-based prevention programming, provide direction for policy changes, and create a basis for data-driven decision making.