Established in 1999, Racial and Ethnic Approaches to Community Health (REACH 2010) is the Centers for Disease Control and Prevention's (CDC's) cornerstone initiative aimed at eliminating disparities in the health status of African Americans, Alaska Natives, American Indians, Asian Americans, Hispanics, and Pacific Islanders. The CDC supports 40 REACH 2010 community coalitions in designing, implementing, and evaluating community-driven strategies to eliminate health disparities in one or more of six priority areas: breast and cervical cancer screening and management, cardiovascular disease, diabetes, HIV/AIDS, immunizations, and infant mortality (1). Local strategies incorporate community-based participatory approaches designed to reduce risk factors and the prevalence and impact of chronic diseases. Interventions include individual, family, provider, or community activities focused on the prevention, detection, treatment, and management of one or more of the priority areas. In addition to local evaluation plans, the CDC has a national evaluation strategy for cross-site evaluation of grantee programs to identify and assess successful community partnerships and to determine whether local choices of strategies and interventions produced desired changes in health disparities among racial and ethnic groups. The national evaluation plan has two components: process evaluation and outcome evaluation. The process evaluation collects data to gain insights about coalition characteristics and actions that affect the implementation of the local REACH 2010 program (2). The outcome evaluation uses surveillance data to determine the impact of local interventions that are implemented to reduce health disparities in racial and ethnic groups (3). In an effort to provide the REACH 2010 grantees with a clear road map of what is ahead, the CDC developed the REACH 2010 logic model to identify anticipated processes and outcomes and assist communities with evaluation.

A program logic model is defined as a picture of how an organization does its work — the theory and assumptions underlying the program (4). The program logic model links outcomes (both short term and long term) with program activities or processes and the theoretical assumptions and principles of the program (4). The logic model helps create a shared understanding of the program's goals and methodology, relating activities to projected outcomes (4). The basic components of a logic model include factors (resources that potentially enable or limit program effectiveness); activities (techniques, tools, events, and actions of the planned program); outputs (the direct results of program activities); outcomes (changes in attitudes, behaviors, knowledge, skills, status, or level of functioning); impacts (organization-level, community-level, or system-level changes) (4); and relevant external influences (5). Variations of the logic model have different names, and these variations are all related to program theory (5). Logic models come in different shapes and sizes and may be a combination of various program logic models (6-8).

This article describes the logic model developed for REACH 2010 that visually depicts the program's theory of change (5) for addressing health disparities in local communities. The model is theoretically based and includes the conditions being addressed, activities used to address these conditions, and the expected outcomes of the activities (4). The REACH 2010 logic model is designed to test the effectiveness of multisite community-based programs in improving the health of racial and ethnic populations. The logic model provides communities with a plausible and sensible model of how the program will work to solve identified problems (5).

The REACH 2010 logic model illustrates how a coalition could theoretically produce the desired local health disparity reductions and impacts in racial and ethnic groups. It focuses on the logical approaches of a community coalition that organizes to learn the context of, causes of, and solutions for local health disparities and is prepared to take actions to reduce and eliminate the disparities. It also is a tool used to explain and illustrate program concepts and approaches for key stakeholders. As such, it has assisted REACH 2010 communities in identifying, documenting, and evaluating local attributes in the reduction and elimination of community health disparities.

The REACH 2010 logic model (Figure) is a theory model that links theoretical constructs together to explain the underlying assumptions of the program. The theory model is appropriate for complex, multifaceted initiatives aimed at entire communities (e.g., community coalition partnerships addressing chronic disease prevention within the community) (8). The REACH 2010 logic model helps prioritize aspects of the program that are most critical for tracking and reporting, and it also helps identify data needed for monitoring and improving the program.

Community health initiatives are often shaped by a public health framework that uses technical assistance and evaluation to help build local capacities for addressing identified community concerns (9). The CDC used the espoused theory of action for its framework. Delineating an espoused theory of action involves identifying critical assumptions, conceptual gaps, and information gaps (10). The conceptual gaps are filled by logic, discussion, and policy analysis. The information gaps are filled by evaluation research (10). This approach was used to develop the REACH 2010 logic model; that is, the stakeholders developed a framework based on their perceptions of how community coalitions and their partners function (10) to reduce health disparities. During technical assistance workshops, the CDC introduced the REACH 2010 logic model to grantees in their 1-year planning phase and again during the second through fourth years of their cooperative agreements. The CDC discussed each component of the logic model and perceptions of events that are likely to occur in a community addressing health disparities.

The REACH 2010 program logic rests on several related but distinct components in two separate phases. The first phase, planning, includes the following components: 1) a community coalition forms or expands its network; 2) the coalition develops, plans, and builds capacity; 3) the coalition meets regularly to gain an understanding of the context of, causes of, and solutions for health disparity; and 4) a Community Action Plan (CAP) — an intervention strategy designed to reduce levels of disparity within the community — is produced. The local evaluation plan is incorporated in the CAP and often includes the contract services of an evaluator. Such expertise is sought from universities, evaluation organizations, private practice evaluators, and others. The CAP takes into account all other activities occurring in the environment that might affect the level of health disparities in a specific community. The actions taken by the REACH 2010 coalition should be aligned to coordinate with other interventions and thereby contribute to a coordinated community initiative aimed at eliminating health disparities and achieving other community outcomes.

The second phase, implementation and evaluation, includes the following components: 1) the implementation of REACH 2010 targeted activities and the assessment and acknowledgment of existing activities that are aimed at the community; 2) the implementation of targeted actions that are thought likely to bring about changes in the community and systems or changes among change agents; 3) change in widespread risk or protective behaviors in the community of focus; 4) reductions in health disparities; 5) other or unexpected outcomes; and 6) the examination and recognition by the coalition of external influences on the community. It is important to note that in the REACH 2010 logic model, all arrows point in both directions. This aspect of the model allows for flexibility and inevitable self-correction as new conditions occur and new knowledge is attained and incorporated into the CAP. It is important to examine the external conditions under which a program is implemented and how those conditions influence outcomes (5).

The REACH 2010 logic model identifies key measurement and evaluation stages. The following is a description of each evaluation stage and related examples of REACH 2010 activities and evaluation measures.

Measuring a program's performance is a way to address accountability or to collect information that helps stakeholders understand how the program is working (5), both of which contribute to more informed decision making about improvements needed to enhance the quality of the program. The logic model is a tool that can guide and assess the program implementation and program input (2). In the REACH 2010 logic model, evaluation stages 1 through 5 are being monitored. The connecting lines are hypothesized linkages or causal relationships that require in-depth study to determine and explain what happened (2). The arrows in the REACH 2010 logic model and the measurement of the linkages provide information on how community actions or activities are presumed to contribute to reducing or eliminating health disparities (2).

The CDC provides the REACH 2010 grantees with assistance in documenting community-level changes, both qualitative and quantitative. Qualitative evaluation emphasizes describing the process and understanding social phenomena and other data that influence the direction of the program. Process-oriented evaluation promotes better understanding of program implementation, the causal events leading to change, and the program components that most influence change (2). The REACH 2010 grantees document qualitative data related to the logic model stages 1 through 3 in the REACH Information Network (REACH IN) system (ORC Macro International, Calverton, Md). The REACH IN system allows grantees at the local level to perform data entry, storage, and retrieval and to produce graphs and reports. These data also are used by the CDC to monitor the types of local activities used to address health disparities.

By using epidemiological methods to establish estimates of the programs' effects, the quantitative data are systematically and uniformly collected and used to assess impact (25). The annual REACH Risk Factor Survey data are collected by a CDC contractor, a National Organization for Research (NORC) at the University of Chicago (23). The REACH 2010 Risk Factor Survey includes questions related to the respondents' health status; health care access; self-reported body measurements; tobacco use; awareness of hypertension, cholesterol, cardiovascular disease, and diabetes and diabetes care; and receipt of preventive services (23). The CDC analyzes these data and prepares and disseminates reports (26). Data files are also issued to grantees for local analysis and interpretation. REACH 2010 grantees use local evaluation plans for more detailed and precise measurement of the program, with an eye toward obtaining data that meet local requirements. The use of multiple methods of data collection, often referred to as triangulation, can strengthen the validity of findings if results produced by different methods are congruent (25). 

The REACH 2010 logic model is a tool that illustrates the theoretical approach and perspective of 40 community-based programs addressing health disparities in racial and ethnic groups. Using the REACH 2010 logic model is beneficial because it 1) provides an opportunity to communicate and to share stakeholders' ideas and assumptions, 2) establishes a common perception or understanding of the coalitions' probable actions or experiences for addressing health disparities, 3) supports the program design and identifies linkages among program elements, 4) identifies a set of key performance measurement points and evaluation issues, and 5) assists with data collection for local use (5).

Measuring the achievement of the goal to reduce or eliminate disparities is an essential precept of the REACH 2010 logic model. Data collected by the REACH 2010 Risk Factor Survey and the REACH IN system will continue to be used to measure national progress toward the goal. The analysis of national data is necessary to ascertain predictors of the REACH 2010 logic model. The CDC is also relying on REACH 2010 coalitions to provide credible evidence to explain how targeted local actions contribute to changes in conditions and behaviors that support the elimination or reduction of health disparities.

The REACH 2010 logic model represents the initial theoretical framework of the program. We recognize that since 1999, additional planning and refinement of the model have occurred at the community level (4). As the REACH 2010 logic model process continues to unfold, the stakeholders responsible for implementing the model will be involved in its evaluation. They will assess whether the model has accomplished its goal of capturing the unique perspectives and community processes that guide community coalitions, that is, determining the way and the conditions under which local coalitions actually work to achieve their goals. Lessons learned from REACH 2010 will provide needed practice-based evidence to inform the next generation of community-based programs working to reduce health disparities.