Logic Models in Developing Public Health Programs

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Logic models can be used in different spheres or fields, and they can contribute to social services in many ways. As it is usually stated by managers, program designers, and educators, logic models are often used to improve a structure of programs to achieve the set goals (Developing a basic logic model for your program, n.d.). Furthermore, it is important to note that these models are effective to evaluate the quality of programs, as well as to identify gaps and weaknesses in programs plans. However, although logic models are actively used in educational institutions to contribute to the development of curriculums or specific grant programs and initiatives, it is possible to state that areas of applying these models are even wider.

In addition to using logic models in education, it is also possible to refer to these techniques to develop community health projects and social programs of various types. Thus, this model is viewed as useful in different fields, and it is applied to identify components of any project, determine required resources and strategies, and plan the efficient evaluation of outcomes. For instance, the Centers for Disease Control and Prevention (2014) actively apply logic models while implementing new community health or well-being projects. Furthermore, although backward logic models are often used by developers to concentrate on desired outcomes and to find the most appropriate inputs to achieve expected results, a forward approach is also effective in some cases (Developing a basic logic model for your program, n.d.). Thus, when inputs and suitable activities are known, the forward approach to creating logic models is preferable.

Logic Models in Designing an Effective Program

It is important to note that logic models are rather unique tools that can be applied to planning and evaluation activities. In the sphere of providing social services, it is appropriate to use logic models to determine resources, actions, tasks, and strategies that are necessary to complete this or that project. At the final stage, effectively developed logic models add to the evaluation of any projects or programs results (Distefano, 2013). Thus, the causes of certain processes become determined accurately, and certain inputs can be proposed to achieve the planned results. However, it is important to note that such primary goals of logic models as planning and evaluation should be discussed in line with the role of this tool to enhance programs performance.

When developers of logic models focus on designing an effective program, they often concentrate on the planning stage while using forward or backward approaches that can address different needs. Then, when the project is almost complete, developers focus on the evaluation stage that can be organized perfectly with the help of a logic model (The importance of logic models and theories of change, 2016). However, less attention is often paid to the role of these models in controlling the performance during the process of the programs realization. Thus, logic models are appropriate techniques to address risks, manage resources, and change activities during the project implementation to achieve high-quality performance (The importance of logic models and theories of change, 2016). These models allow for deciding what combinations of inputs and activities can lead to the best results and desired outcomes at different stages of the project realization. Therefore, logic models are also useful to control performance and complete intermediate assessments.

References

Developing a basic logic model for your program. (n.d.). Web.

Distefano, J. (2013). Planning interventions to impact population health: Logic models. Web.

The Centers for Disease Control and Prevention. (2014). Identifying the components of a logic model. Web.

The importance of logic models and theories of change. (2016). Web.

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