MOOC FOR FORMAL CAREGIVERS -EN

Final Assignment Module 3: Decision Tree for Adopting Effective Individual-Level Interventions

Background:

Adopting effective interventions at the individual level requires careful consideration of multiple factors, such as costs, health conditions, climate impact, effectiveness, practical requirements, and user-friendliness. A decision tree is a structured tool that helps individuals make informed choices by guiding them through key decision points.

Assignment Description:

Create a decision tree that helps individuals determine which proven interventions (discussed in this module) are most suitable for their specific situation. The decision tree should be logical, evidence-based, and reflect your understanding of scientific research and implementation strategies.

Requirements:

Your decision tree must:

1. Guide Decision-Making Logically

   • Clearly outline a step-by-step process for individuals to determine the best intervention.
   • Ensure that decisions lead to appropriate recommendations based on personal circumstances.

2. Include Key Considerations

   • Cost – Is the intervention affordable or does it require financial investment?
   • Health Condition – Are there medical considerations that influence the decision?
   • Climate Change Impact – Does the intervention contribute positively or negatively to sustainability?
   • Effectiveness – How well does the intervention work based on scientific evidence?
   • Requirements – Are there specific conditions (e.g., space, equipment, external support) needed for implementation?
   • User-Friendliness – Is the intervention easy to adopt and maintain?

3. Demonstrate Scientific Understanding

   • Ensure the tree is based on proven, evidence-based interventions covered in this module.
   • Highlight the role of implementation strategies in making interventions successful.

4. Format & Presentation

   • Your decision tree can be presented as a written document (structured text) or an infographic (visual representation).
   • Maximum length: 2 pages (if written, ensure clarity and conciseness; if visual, ensure readability).
   • Use clear language and logical flow so that the decision tree is easy to follow.

Submission & Reflection:

• Submit your decision tree as a PDF, image, or document (depending on the chosen format).
• Optionally, write a short reflection (200–300 words) explaining how your decision tree demonstrates your understanding of the module’s key concepts.

Evaluation Criteria:

✅ Logical Structure – The decision tree is easy to navigate and follows a clear, step-by-step approach.
✅ Inclusion of Key Considerations – All relevant factors (cost, health, effectiveness, climate impact, etc.) are incorporated.
✅ Scientific Foundation – The tree reflects evidence-based interventions and implementation strategies.
✅ Clarity & Presentation – The format is professional, concise, and engaging.
✅ Depth of Understanding – The final product showcases knowledge gained from the module.