Policy Impact Analysis - 117/S/5293

Bill Overview

Title: Health Enterprise Zones Act of 2022

Description: This bill provides for the designation of Health Enterprise Zones in certain geographic areas with documented and measurable health disparities. This designation, which expires 10 years after the date on which the first zone is designated, confers eligibility for certain grants, Medicare incentive payments, student loan repayment programs, and tax credits for those working to reduce health disparities and improve health outcomes in these zones. Specifically, community-based nonprofits or local government agencies, in coalition with health care providers, social service organizations, and others, may apply to the Department of Health and Human Services (HHS) for the designation. The application must include a plan to reduce health disparities and achieve other outcomes. In implementing the program, HHS must consult with, among others, the Department of Housing and Urban Development. When approving applications, HHS shall consider factors including geographic diversity and the commitment of supporting funds from the private sector. HHS (1) may award grants to organizations or agencies that applied for the designation to support activities aligned with their plans, and (2) must carry out a student loan repayment program for health care providers who agree to provide services in a Health Enterprise Zone. In addition, the bill establishes tax credits for employers that hire, and individuals who work as, Health Enterprise Zone workers.

Sponsors: Sen. Padilla, Alex [D-CA]

Target Audience

Population: People in areas with significant health disparities globally

Estimated Size: 60000000

Reasoning

Simulated Interviews

Community Health Worker (Detroit, MI)

Age: 34 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • I really hope this helps us reduce health disparities here.
  • The student loan repayment program could encourage more healthcare professionals to work in our community.
  • It's crucial that local voices are part of shaping these interventions.

Wellbeing Over Time (With vs Without Policy)

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

Primary Care Physician (Los Angeles, CA)

Age: 58 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • This might encourage younger doctors to consider working in underserved areas like mine.
  • Loan forgiveness could be a game changer for recruitment.
  • I'm worried about what happens when this policy ends in 10 years.

Wellbeing Over Time (With vs Without Policy)

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

Local Government Official (Jackson, MS)

Age: 45 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • This policy could provide much-needed funds to scale our diabetes prevention program.
  • Having HHS support would lend significant credibility to our efforts.
  • Coordination with HUD is crucial for addressing the root causes of health disparities.

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 4
Year 20 6 3

Nursing Student (Rural Kentucky)

Age: 24 | Gender: male

Wellbeing Before Policy: 3

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • The potential for loan forgiveness is huge for me.
  • Working in one of these zones aligns with my long-term goals.
  • I'm hopeful this might inspire more investments in rural healthcare.

Wellbeing Over Time (With vs Without Policy)

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

Retired Teacher (Albuquerque, NM)

Age: 67 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • I hope this brings more healthcare resources to our area.
  • These incentives might help address some of the chronic conditions our community faces.
  • It's essential to ensure that benefits reach those who need them most.

Wellbeing Over Time (With vs Without Policy)

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

Public Health Researcher (New York City, NY)

Age: 39 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • I'm interested in studying the effects of these zones on health outcomes.
  • The data from this could be invaluable for shaping future policies.
  • Integration with existing urban health programs is key.

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 7 6
Year 10 6 5
Year 20 6 4

Pharmaceutical Sales Representative (Houston, TX)

Age: 29 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 9/20

Statement of Opinion:

  • This could potentially increase the demand for certain medications in these zones.
  • It will be interesting to see how this affects my interactions with healthcare providers.
  • I might need to adjust my strategy to align with these new incentives.

Wellbeing Over Time (With vs Without Policy)

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

Social Worker (Philadelphia, PA)

Age: 50 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • Grants could help fund programs that I run for families in need.
  • I'm worried about the sustainability of funding after 10 years.
  • Partnership with healthcare providers will be crucial.

Wellbeing Over Time (With vs Without Policy)

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

Software Developer (Tulsa, OK)

Age: 29 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 10/20

Statement of Opinion:

  • I don't think this will impact me much since it's focused on specific areas.
  • I'm glad to see more initiatives focusing on health disparities.
  • My work doesn't intersect much with local health initiatives.

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 6
Year 20 6 5

Health Clinic Administrator (Chicago, IL)

Age: 42 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • This policy could provide a boost to our operational funds.
  • Securing a grant will demand a collaborative approach.
  • The expiration of zones after 10 years is concerning.

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 4
Year 10 6 3
Year 20 5 2

Cost Estimates

Year 1: $750000000 (Low: $600000000, High: $900000000)

Year 2: $900000000 (Low: $750000000, High: $1050000000)

Year 3: $950000000 (Low: $800000000, High: $1100000000)

Year 5: $1000000000 (Low: $850000000, High: $1150000000)

Year 10: $1100000000 (Low: $950000000, High: $1250000000)

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

Key Considerations