Policy Impact Analysis - 117/S/3974

Bill Overview

Title: Ending Discrimination in COVID–19 Treatments Act

Description: This bill prohibits consideration of certain factors, including vaccination status, in decisions about an individual's access to federally provided monoclonal antibody therapies to treat COVID-19. As a condition of receiving the therapies from the federal government, states must ensure that providers do not consider specified demographic characteristics, veteran status, or political ideology or speech when determining a patient's eligibility for such therapies.

Sponsors: Sen. Cruz, Ted [R-TX]

Target Audience

Population: Individuals globally needing access to non-discriminatory COVID-19 treatments

Estimated Size: 10000000

Reasoning

Simulated Interviews

Hospital Administrator (New York, NY)

Age: 35 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • I believe this policy ensures fair treatment for vaccinated individuals, which is important in a healthcare setting.
  • As a hospital administrator, I see the importance of not discriminating against unvaccinated patients for lifesaving treatments.

Wellbeing Over Time (With vs Without Policy)

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

Veteran (Houston, TX)

Age: 50 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • This bill is crucial because it prevents discrimination against veterans like myself who have chosen to remain unvaccinated.
  • I appreciate not being judged by my vaccination status when seeking treatment.

Wellbeing Over Time (With vs Without Policy)

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

Public Health Researcher (San Francisco, CA)

Age: 28 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 8/20

Statement of Opinion:

  • This policy could lead to more equitable healthcare across varying demographics.
  • As a researcher, I support evidence-based, non-discriminatory treatment approaches.

Wellbeing Over Time (With vs Without Policy)

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

Retired (Miami, FL)

Age: 62 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • Knowing that treatments could be administered without biases is reassuring to someone with my background.
  • I support the idea that past infection and recovery should not affect treatment accessibility.

Wellbeing Over Time (With vs Without Policy)

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

Teacher (Chicago, IL)

Age: 45 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 12/20

Statement of Opinion:

  • While I'm vaccinated, it's comforting to know that unvaccinated individuals, possibly including my students, aren’t denied critical treatment.
  • I support any measure that protects my community from bias.

Wellbeing Over Time (With vs Without Policy)

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

Software Developer (Seattle, WA)

Age: 24 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • This bill feels like a protective measure for personal choices and medical privacy.
  • Concern over access to treatments was a stressor, so this policy is a relief.

Wellbeing Over Time (With vs Without Policy)

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

Retired Farmer (Boise, ID)

Age: 70 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 4/20

Statement of Opinion:

  • Rural healthcare access is already challenging, and this policy helps ensure treatments aren't restricted based on vaccination status.
  • I need this security in my older age.

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 6 5
Year 10 6 4
Year 20 5 4

Nurse (Boston, MA)

Age: 41 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 9/20

Statement of Opinion:

  • In healthcare, we've sworn to provide impartial care, making this policy align with that mission.
  • I hope this policy reduces any political pressure on healthcare decisions.

Wellbeing Over Time (With vs Without Policy)

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

Freelancer (Phoenix, AZ)

Age: 38 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 2.0 years

Commonness: 11/20

Statement of Opinion:

  • A policy like this levels the playing field for everyone regardless of personal choices.
  • It's important for a diverse country like ours.

Wellbeing Over Time (With vs Without Policy)

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

Small Business Owner (Atlanta, GA)

Age: 32 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 2.0 years

Commonness: 13/20

Statement of Opinion:

  • This policy helps ensure fairness in healthcare, which is critical for small businesses and our employees.
  • It’s good to not have divisions among us regarding treatment access.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $50000000 (Low: $30000000, High: $80000000)

Year 2: $50000000 (Low: $30000000, High: $80000000)

Year 3: $50000000 (Low: $30000000, High: $80000000)

Year 5: $50000000 (Low: $30000000, High: $80000000)

Year 10: $50000000 (Low: $30000000, High: $80000000)

Year 100: $50000000 (Low: $30000000, High: $80000000)

Key Considerations