Policy Impact Analysis - 117/S/5002

Bill Overview

Title: FDA Modernization Act 2.0

Description: This bill authorizes the use of certain alternatives to animal testing, including cell-based assays and computer models, to obtain an exemption from the Food and Drug Administration to investigate the safety and effectiveness of a drug. The bill also removes a requirement to use animal studies as part of the process to obtain a license for a biological product that is biosimilar or interchangeable with another biological product.

Sponsors: Sen. Paul, Rand [R-KY]

Target Audience

Population: Researchers and organizations involved in drug testing and development

Estimated Size: 10000000

Reasoning

Simulated Interviews

Pharmaceutical researcher (Cambridge, MA)

Age: 40 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • The FDA Modernization Act 2.0 will allow us to explore more innovative testing methods, which is exciting for both ethical and scientific progress.
  • The reduction in animal testing requirements aligns with my personal values and professional goals.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 7
Year 3 8 7
Year 5 9 7
Year 10 9 7
Year 20 9 6

University professor (Raleigh, NC)

Age: 55 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • While I see the potential benefits of the policy, transitioning to alternative methods may require significant re-training and resources.
  • I'm concerned about the robustness of data from non-animal models in certain cases.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 7 6
Year 3 7 6
Year 5 8 6
Year 10 8 6
Year 20 7 5

Biotech startup founder (San Francisco, CA)

Age: 32 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 15.0 years

Commonness: 3/20

Statement of Opinion:

  • This policy is a game-changer for biotech startups, allowing us to innovate faster and more ethically.
  • I fully support reducing reliance on animal testing, it aligns with our mission.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 9 8
Year 2 9 8
Year 3 9 8
Year 5 9 8
Year 10 10 8
Year 20 10 7

Animal rights activist (Houston, TX)

Age: 29 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 2/20

Statement of Opinion:

  • I'm thrilled about this policy as it represents a significant shift in reducing animal suffering.
  • We will continue advocating for the swift adoption of non-animal testing methods.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 7 5
Year 5 7 5
Year 10 8 5
Year 20 8 4

Pharmaceutical company executive (Research Triangle Park, NC)

Age: 46 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • Implementing this policy could cut costs and expedite drug development timelines, benefiting our company.
  • Proper regulation and validation of alternative methods are crucial to protect patient safety.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 7 6
Year 3 8 6
Year 5 8 6
Year 10 9 6
Year 20 9 5

Healthcare policy analyst (New York, NY)

Age: 51 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • This policy presents an opportunity to modernize regulatory approaches but must be carefully monitored for effectiveness and safety.
  • There are complex cost and ethical implications that need ongoing review.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 7 7
Year 5 7 7
Year 10 7 7
Year 20 6 6

Medical scientist (Detroit, MI)

Age: 37 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 7.0 years

Commonness: 5/20

Statement of Opinion:

  • Alternative models could lead to breakthroughs, enhancing both safety and cost-efficiency in drug development.
  • Training for these methods will require significant investment.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 8 7
Year 5 8 7
Year 10 8 6
Year 20 8 6

Pharmaceutical regulatory consultant (Los Angeles, CA)

Age: 60 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 3/20

Statement of Opinion:

  • I see potential for streamlined processes under this act, which can benefit both companies and the FDA.
  • However, verifiable standards must be developed for these new testing methodologies.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 6 6
Year 3 7 6
Year 5 7 6
Year 10 7 6
Year 20 6 5

Patient advocate (Portland, OR)

Age: 42 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • This approach could lower drug costs, benefiting patients.
  • Ensuring drug safety is critical, alternative methods must meet stringent criteria.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 8 6
Year 5 8 6
Year 10 8 6
Year 20 7 5

Pharmaceutical sales manager (Chicago, IL)

Age: 48 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 8.0 years

Commonness: 5/20

Statement of Opinion:

  • If this leads to faster approvals, it could mean expanded sales opportunities.
  • The long-term effects on pricing are unclear, which is a key concern.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 6 5
Year 3 7 5
Year 5 7 5
Year 10 7 5
Year 20 7 5

Cost Estimates

Year 1: $20000000 (Low: $10000000, High: $30000000)

Year 2: $15000000 (Low: $5000000, High: $25000000)

Year 3: $15000000 (Low: $5000000, High: $25000000)

Year 5: $15000000 (Low: $5000000, High: $25000000)

Year 10: $15000000 (Low: $5000000, High: $25000000)

Year 100: $15000000 (Low: $5000000, High: $25000000)

Key Considerations