Donlagon007/hypertension_stepped_R8

💊 Hypertension Treatment Cost-Effectiveness Analysis with AI Assistant

An interactive web application for conducting cost-effectiveness analysis (CEA) comparing two hypertension treatment strategies:

• —Stepped Care Approach: Start with Drug A, escalate to Drug B if needed
• —Direct Drug B Approach: Start directly with Drug B

Features

🎓 CEA Knowledge Assistant

• —Ask questions about cost-effectiveness analysis methodology
• —Learn about decision tree modeling and probabilistic sensitivity analysis
• —Get guidance on using the software

📈 Deterministic Analysis

• —Compare expected costs and effectiveness (QALYs) between strategies
• —Calculate Incremental Cost-Effectiveness Ratio (ICER)
• —View detailed pathway probabilities and outcomes

🎲 Probabilistic Sensitivity Analysis (PSA)

• —Run Monte Carlo simulations with customizable parameters
• —Visualize uncertainty with Cost-Effectiveness Plane
• —Generate Cost-Effectiveness Acceptability Curve (CEAC)

🤖 AI-Powered Insights

• —Generate academic executive summaries
• —Ask detailed questions about your analysis results
• —Get interpretation of ICER, cost drivers, and decision-making implications

How to Use

1. 1.Enter OpenAI API Key: In the sidebar, enter your OpenAI API key to enable AI features
2. 2.Adjust Parameters: Modify probability distributions and cost parameters in the sidebar
3. 3.Explore Tabs:
4. 4.Start with the Knowledge Assistant to learn about CEA
5. 5.View Deterministic Results for base-case analysis
6. 6.Run PSA to assess parameter uncertainty
7. 7.Use AI Summary for interpretation and Q&A

Model Parameters

The model uses:

• —Beta distributions for probabilities (treatment success rates)
• —Log-Normal distributions for costs
• —Fixed costs for successful treatment outcomes
• —Customizable WTP threshold for cost-effectiveness determination

Technical Details

• —Built with Streamlit for interactive web interface
• —Uses LangChain and OpenAI GPT for AI assistance
• —Implements decision tree analysis with probabilistic sensitivity analysis
• —Generates publication-ready visualizations

Requirements

• —Python 3.8+
• —OpenAI API key (for AI features)

Author

Health Economics Decision Analysis Tool with AI Enhancement

License

MIT License