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Iterative Design and Mixed Methods Approach to Developing a Multi-Spectrum of Care Education Model
Ryan M B Gibson1, Melinda Camus2, Diane Delmain3
1Department of Anatomy, Physiology, and Pharmacology, College of Veterinary Medicine, Auburn University, 1220 Wire Road, Auburn, AL 36849, USA.
The Multi-Spectrum of Care (MSOC) model enhances veterinary education by teaching students to consider all contextual factors in clinical decisions, not just cost. This educational tool improves critical thinking and prepares students for real-world veterinary practice.
Area of Science:
- Veterinary Education
- Clinical Decision-Making
- Spectrum of Care Framework
Background:
- Veterinary students need to master complex factors influencing clinical decisions.
- The Spectrum of Care (SOC) framework is gaining traction in veterinary education.
- Practical tools for teaching and applying SOC principles are limited.
Purpose of the Study:
- To describe the development and refinement of the Multi-Spectrum of Care (MSOC) educational model.
- To enhance veterinary students' understanding and application of SOC principles.
- To evaluate the MSOC model's effectiveness in clinical rotations.
Main Methods:
- Mixed methods approach including student surveys and thematic analysis.
- Iterative refinement of the MSOC model based on student feedback across three deployment phases.
- Integration of the MSOC model into clinical rotations at Auburn University College of Veterinary Medicine.
Main Results:
- The MSOC model increased student awareness of non-cost contextual factors influencing care.
- The model improved veterinary students' critical thinking and ability to develop multiple care pathways.
- Students reported enhanced clinical reasoning structure and deeper understanding of SOC principles.
Conclusions:
- The MSOC model is a promising, flexible educational tool for operationalizing SOC education in veterinary medicine.
- The model prepares students for the realities of contemporary veterinary practice by emphasizing comprehensive contextual consideration.
- Further refinement and broader testing are warranted for wider implementation across diverse settings.
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