Policy Impact Analysis - 117/S/4378

Bill Overview

Title: Hatch-Waxman Improvement Act of 2022

Description: This bill extends through FY2026 provisions that establish a period of market exclusivity for certain new drugs with single enantiomers (i.e., one of a pair of molecules that are mirror images of one another).

Sponsors: Sen. Marshall, Roger [R-KS]

Target Audience

Population: People dependent on drugs with single enantiomers for treatment

Estimated Size: 10000000

Reasoning

Simulated Interviews

Pharmacy Technician (New York, NY)

Age: 28 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • I rely on my medication daily, and I'm worried the exclusivity might make it more expensive.
  • The company’s focus on profit could put my health at risk if prices rise too high for me to afford, even with insurance.

Wellbeing Over Time (With vs Without Policy)

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

Medical Sales Representative (Chicago, IL)

Age: 57 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 5/20

Statement of Opinion:

  • Exclusivity limits our ability to introduce generics, reducing competition and potentially raising prices.
  • Our industry thrives on bringing affordable options to the market, and this policy complicates that goal.

Wellbeing Over Time (With vs Without Policy)

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

Primary Care Physician (Omaha, NE)

Age: 42 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 2.0 years

Commonness: 4/20

Statement of Opinion:

  • This policy might limit drug options for some of my patients.
  • Access to newer, potentially more effective drugs may be restricted to those who can afford them, affecting treatment decisions.

Wellbeing Over Time (With vs Without Policy)

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

Software Engineer (Houston, TX)

Age: 35 | Gender: male

Wellbeing Before Policy: 9

Duration of Impact: 0.0 years

Commonness: 7/20

Statement of Opinion:

  • I haven't seen this affect me personally, so it's not on my radar.
  • If it leads to higher healthcare costs overall, that might show up in my insurance premiums eventually.

Wellbeing Over Time (With vs Without Policy)

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

Hospital Administrator (Miami, FL)

Age: 60 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • Changes like this could increase our procurement costs for certain drugs.
  • I have to navigate these costs while maintaining quality care without transferring too much burden onto patients.

Wellbeing Over Time (With vs Without Policy)

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

Pharmaceutical Researcher (Seattle, WA)

Age: 46 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • This is both an opportunity and a challenge in developing drugs with enough innovation to deserve exclusivity.
  • My work focuses on innovation, and this shifts the competitive landscape significantly.

Wellbeing Over Time (With vs Without Policy)

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

Small Business Owner (Los Angeles, CA)

Age: 50 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 6.0 years

Commonness: 5/20

Statement of Opinion:

  • My main concern is how this affects my brother, who needs a specific drug that could get pricier.
  • If costs go up, we might need to adjust our family budget or look for alternative solutions.

Wellbeing Over Time (With vs Without Policy)

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

Journalist (Denver, CO)

Age: 32 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 6/20

Statement of Opinion:

  • This exclusivity period expands pharma profits but constrains consumer choice and potentially raises costs.
  • Understanding the nuances helps me report comprehensively on how people are affected, regardless of personal impact.

Wellbeing Over Time (With vs Without Policy)

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

Graduate Student (San Diego, CA)

Age: 29 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 2/20

Statement of Opinion:

  • The policy provides an interesting perspective on how market dynamics are controlled by exclusivity.
  • It's crucial to analyze both economic models and patient outcomes as part of my thesis.

Wellbeing Over Time (With vs Without Policy)

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

Investment Analyst (Boston, MA)

Age: 34 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 4.0 years

Commonness: 4/20

Statement of Opinion:

  • This affects investment portfolios focusing on pharmaceuticals, particularly company-specific risks due to exclusivity.
  • Long-term outlooks may hinge on how these exclusivity periods affect competitive positionings.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $75000000 (Low: $70000000, High: $80000000)

Year 2: $78000000 (Low: $72000000, High: $84000000)

Year 3: $81000000 (Low: $75000000, High: $87000000)

Year 5: $87000000 (Low: $80000000, High: $94000000)

Year 10: $0 (Low: $0, High: $0)

Year 100: $0 (Low: $0, High: $0)

Key Considerations