Clinical-Community Relationships Measures (CCRM) Atlas
A promising approach to enhancing the delivery of preventive services in clinical settings is for providers to coordinate, cooperate, and collaborate with community-based organizations to help deliver these services. The Agency for Healthcare Research and Quality (AHRQ) refers to this collaborative approach to the delivery of preventive services as clinical-community relationships. AHRQ has set a long-term goal of understanding whether fostering relationships between clinical practices and community organizations is an effective and feasible way to enhance the delivery of specific clinical preventive services.
The Clinical-Community Relationships Measures (CCRM) Atlas is:
- Designed to provide users with a measurement framework and listing of existing measures for clinical-community relationships.
- Intended to help facilitate research, quality improvement projects, and other interventions investigating clinical-community relationships that have been formed for the purposes of improving the delivery of clinical preventive services.
- Intended to be used by researchers studying clinical-community relationships as well as evaluators of these relationships.
This Jumpstart Guide is a tool to help users navigate the Clinical Community Relationships Measures Atlas. By following the listed steps, users will be able to identify existing measures of clinical-community relationships.
To quickly return to the Jumpstart Guide and continue with the next step, select the Jumpstart link. It will appear at the end of each section.
- Step 1: Gain an Understanding of the Measurement Framework
All measures contained within this Atlas are organized according to the domains of this framework.
- Step 2: Review the Measurement Framework Domain Definitions
An explanation of each of the domains is provided in the table of domain definitions.
- Step 3: Examine the CCRM Mapping Table
The Master Measure Mapping Table is used to link measures to the framework domains. A quick review of the table will help you during Step 4.
- Step 4: Follow the Measure Selection Guide
This guide will walk you through the steps of identifying the domains pertinent to your interests and identifying relevant measures.
- Step 5: Review the Profiles of Identified Measures
Once you have identified measures that may meet your needs, review the details of measure development, testing, and application.