Policy Impact Analysis - 117/HR/8753

Bill Overview

Title: Critical Health Careers Act of 2022

Description: This bill revises the Perkins Innovation and Modernization grant program to prioritize recipients in health and biotechnology careers.

Sponsors: Rep. Budd, Ted [R-NC-13]

Target Audience

Population: People in health and biotechnology careers

Estimated Size: 300000

Reasoning

Simulated Interviews

Nursing Student (Boston, MA)

Age: 29 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • This policy could really help me with access to more resources and tech-related opportunities in nursing.
  • If I receive support from this grant, I might be able to work on global health technology advancements in the future.

Wellbeing Over Time (With vs Without Policy)

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

Biotechnology Researcher (Raleigh, NC)

Age: 34 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • This grant could allow for interdepartmental collaboration with recent graduates and boost innovative projects.
  • I've seen budget restrictions slow our progress, so additional funding could help us push boundaries more effectively.

Wellbeing Over Time (With vs Without Policy)

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

Healthcare Technology Entrepreneur (San Francisco, CA)

Age: 40 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 3/20

Statement of Opinion:

  • I think this policy is crucial for accelerating innovation, especially in startups like mine.
  • As a woman in tech, additional support could reduce barriers in initial R&D phases.

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 9 6
Year 10 8 5
Year 20 7 5

Biomedical Engineering Graduate (Chicago, IL)

Age: 24 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • Funding from such initiatives is key to entering the field with adequate preparation and network.
  • A job opportunity or internship facilitated by the policy could make a substantial impact on my career path.

Wellbeing Over Time (With vs Without Policy)

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

High School STEM Teacher (Houston, TX)

Age: 45 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • This act could allow for better curriculum development and classroom resources for our biotechnology track.
  • Students could be more prepared entering college programs due to the enriched learning environment.

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 8 5
Year 20 7 5

Hospital Administrator (Atlanta, GA)

Age: 50 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • I see potential in using grant funds to drive health care employee education and satisfaction.
  • Enhancing patient care quality through supported development could be a key outcome.

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 7 6

Health Policy Analyst (New York, NY)

Age: 55 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 12/20

Statement of Opinion:

  • Targeting investment in healthcare education isn't just beneficial—it's necessary for competence in care delivery.
  • With better-prepared professionals, downstream public health outcomes should improve significantly.

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

Clinical Lab Scientist (Seattle, WA)

Age: 30 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 4/20

Statement of Opinion:

  • The policy could create pathways for younger scientists to bring fresh insights, increasing our lab's innovative capacity.
  • Allocation of funding to mentorship programs could sustain long-term skill development across the sector.

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 8 6
Year 10 8 5
Year 20 7 5

College Freshman majoring in Biotechnology (Denver, CO)

Age: 22 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 9/20

Statement of Opinion:

  • Access to enhanced resources and internships could significantly impact my education and career perspectives.
  • I hope to see increased collaboration opportunities due to policy enactments.

Wellbeing Over Time (With vs Without Policy)

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

Retired Biomedical Technician (Los Angeles, CA)

Age: 60 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 15/20

Statement of Opinion:

  • The grants can attract more emerging talent to the industry, which could enrich mentorship programs I'm involved with.
  • I'm concerned about long-term sustainability post-grant period.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $200000000 (Low: $150000000, High: $250000000)

Year 2: $200000000 (Low: $150000000, High: $250000000)

Year 3: $200000000 (Low: $150000000, High: $250000000)

Year 5: $200000000 (Low: $150000000, High: $250000000)

Year 10: $200000000 (Low: $150000000, High: $250000000)

Year 100: $200000000 (Low: $150000000, High: $250000000)

Key Considerations