Trial Results Summary
The study looked at how using self-made breast models can improve communication between doctors and patients with breast cancer. In the trial, 200 patients were divided into two groups:
- Control Group: Received traditional explanations from doctors.
- Model Group: Used self-made breast models to help understand the information.
The results showed that:
- The model group understood the information better, scoring an average of 80.23 compared to 64.01 in the control group.
- Patient satisfaction was higher in the model group across all types of surgeries.
This means that using breast models can significantly help patients understand their conditions and feel more satisfied with their care.
Real-World Opportunities
Hospitals and doctors can:
- Start using self-made breast models in preoperative consultations.
- Train staff on how to create and use these models effectively.
- Encourage patient feedback to improve the models further.
Measurable Outcomes
Clinics should track:
- Patient understanding of their diagnosis and treatment options.
- Patient satisfaction scores after consultations.
- Changes in patient anxiety levels before surgery.
AI Tools
Consider using AI tools that can help create 3D models of breast anatomy, which can enhance the self-made models and provide personalized visual aids for patients.
Step-by-Step Plan
To apply these findings, clinics can follow these steps:
- Start small by creating a few breast models with staff involvement.
- Use these models in a few patient consultations and gather feedback.
- Evaluate the feedback and make improvements to the models.
- Gradually expand the use of models to more patients and train additional staff.
