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Strengthening chronic disease prevention programming: the Toward Evidence-Informed Practice (TEIP) Program Evidence
Dayna Albert1, Rebecca Fortin, Christine Herrera
1Ontario Public Health Association, Toronto, Ontario.
Public health practitioners can use the Program Evidence Tool to identify and apply evidence effectively in chronic disease prevention programs. This tool guides users through synthesizing and adapting evidence for practical, community-based health promotion initiatives.
Area of Science:
- Public Health
- Chronic Disease Prevention
- Evidence-Informed Practice
Background:
- Effective use of evidence is a priority in public health and chronic disease prevention.
- Public health practitioners need practical methods to identify and apply evidence.
- Existing tools may not fully address the complexities of community-based health promotion.
Purpose of the Study:
- To describe the Program Evidence Tool for identifying, synthesizing, and applying evidence in chronic disease prevention programming.
- To adapt evidence-based medicine tools for community-based health promotion contexts.
- To strengthen the content of chronic disease prevention programs through evidence utilization.
Main Methods:
- Adapted tools from evidence-based medicine for community-based settings.
- Utilized knowledge management tools and an Evidence Forum for guided dialogue.
- Implemented a 5-step process: define question, develop search strategy, collect/synthesize evidence, interpret/adapt evidence, implement/evaluate.
Main Results:
- The Program Evidence Tool was applied in 4 Ontario public health departments.
- Benefits, strengths, and challenges of the tool's application were documented.
- Learnings from the application process were identified.
Conclusions:
- The Program Evidence Tool supports the effective use of diverse evidence sources in chronic disease prevention.
- It enhances the development and understanding of evidence application in community-based settings.
- The tool contributes to strengthening chronic disease prevention programming through evidence-informed practice.
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