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In: Nursing

Explain the connection between law, policy, and the public’s health using a concept map and narrative

Explain the connection between law, policy, and the public’s health using a concept map and narrative

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Expert Solution

Researchers in a variety of disciplines pursue creative ways to explore complex areas of inquiry. This literature review examines the use of concept maps as a unique tool for conducting research. This study embraces an inclusive definition of concept mapping. Three main approaches for conducting research using concept maps as a tool emerged: relational, cluster, and word frequency. These approaches are included in the different phases of research process such as data collection, analysis, and presentation. Each approach revealed strengths and limitations that researchers need to take into account. This discussion broadens the lens of the meaning of concept mapping as a tool for innovative research approaches.Concept mapping is a structured conceptualization process that provides a visual representation of relationships among ideas. Concept mapping was used to develop a logic model for the Centers for Disease Control and Prevention's Prevention Research Centers Program, which has a large and diverse group of stakeholders throughout the United States. No published studies have used concept mapping to develop a logic model for a national program. METHODS:Two logic models were constructed using the data from the concept mapping process and program documents: one for the national level and one for the local level. Concept mapping involved three phases: 1) developing questions to generate ideas about the program's purpose and function, 2) gathering input from 145 national stakeholders and 135 local stakeholders and sorting ideas into themes, and 3) using multivariate statistical analyses to generate concept maps. Logic models were refined using feedback received from stakeholders at regional meetings and conferences and from a structured feedback tool. The national concept map consisted of 9 clusters with 88 statements; the local concept map consisted of 11 clusters with 75 statements. Clusters were categorized into three logic model components: inputs, activities, and outcomes. Based on feedback, two draft logic models were combined and finalized into one for the Prevention Research Centers Program.Concept mapping provides a valuable data source, establishes a common view of a program, and identifies inputs, activities, and outcomes in a logic model. Our concept mapping process resulted in a logic model that is meaningful for stakeholders, incorporates input from the program's partners, and establishes important program expectations. Our methods may be beneficial for other programs that are developing logic models for evaluation planning.


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