Policy Impact Analysis - 117/S/3497

Bill Overview

Title: Medical Student Education Authorization Act of 2022

Description: This bill provides statutory authority for the Medical Student Education Program, through which the Health Resources and Services Administration (HRSA) awards matching grants for expanding and supporting medical education with a particular focus on training students to serve as primary care physicians in tribal, rural, or medically underserved communities. HRSA must award the grants to public institutions of higher education located in states that rank in the top quartile of states based on projected unmet demand for primary care providers. In awarding the grants, HRSA must give priority to recipients that (1) are located in states with two or more federally recognized Indian tribes, and (2) demonstrate a public-private partnership. Recipients must use grant funds for specified activities that include developing curricula, expanding partnerships with health care providers and community-based organizations, and providing scholarships.

Sponsors: Sen. Inhofe, James M. [R-OK]

Target Audience

Population: Individuals involved in or served by the Medical Student Education Program.

Estimated Size: 500000

Reasoning

Simulated Interviews

Medical Student (Arizona)

Age: 24 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 8/20

Statement of Opinion:

  • I'm excited about the policy because it seems to offer more support for students like me planning to work in underserved areas.
  • Additional funding might mean scholarships or better resources, which would be a big help.

Wellbeing Over Time (With vs Without Policy)

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

Primary Care Physician (New Mexico)

Age: 31 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • The policy seems beneficial for increasing the workforce in areas like ours, which is great.
  • However, training alone isn't enough, we also need systems that retain doctors in these communities.

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 7
Year 20 8 7

Medical Student (Texas)

Age: 22 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 7/20

Statement of Opinion:

  • I don't think the policy will impact me directly as I plan to specialize beyond primary care.
  • It's good for those planning to serve in underserved areas, though.

Wellbeing Over Time (With vs Without Policy)

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

Healthcare Administrator (South Dakota)

Age: 42 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 15.0 years

Commonness: 4/20

Statement of Opinion:

  • This could greatly aid in bringing more doctors to areas where they're desperately needed.
  • We still need to address retention, but it's a positive step.

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 8 6
Year 20 8 6

Medical Student (California)

Age: 29 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 9/20

Statement of Opinion:

  • My program may not be directly affected since we focus on urban areas, but such policies can shift resources.
  • Hopefully, some aspects like curriculum enhancements could benefit us too.

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 7 7

Public Health Worker (Montana)

Age: 34 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • Increasing the number of primary care providers should help improve community health.
  • We hope services improve and remain consistent as a result.

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 8 7
Year 10 8 7
Year 20 8 7

Medical Student (North Dakota)

Age: 26 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 6/20

Statement of Opinion:

  • I'm hopeful about this program's potential to support students like myself.
  • Costs and resources are tough, and anything helps.

Wellbeing Over Time (With vs Without Policy)

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

Nurse Practitioner (Alabama)

Age: 45 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • The policy could indirectly benefit my work by supplying more doctors to our clinic.
  • Proper execution and commitment will be crucial.

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 9 8
Year 20 9 8

Small Town Mayor (Idaho)

Age: 38 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 2/20

Statement of Opinion:

  • We desperately need incentives for medical professionals to serve and stay in our towns.
  • This policy could be a helpful step forward.

Wellbeing Over Time (With vs Without Policy)

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

Medical Student (Oklahoma)

Age: 28 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 4/20

Statement of Opinion:

  • This policy aligns perfectly with my goals and could even provide more support in terms of resources and training.
  • I feel encouraged about my future role in primary care.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $75000000 (Low: $50000000, High: $100000000)

Year 2: $75000000 (Low: $50000000, High: $100000000)

Year 3: $75000000 (Low: $50000000, High: $100000000)

Year 5: $75000000 (Low: $50000000, High: $100000000)

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

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

Key Considerations