Policy Impact Analysis - 117/HR/623

Bill Overview

Title: Gabriella Miller Kids First Research Act 2.0

Description: This bill reauthorizes through FY2027 a pediatric disease research initiative within the National Institutes of Health (NIH) and requires the NIH to coordinate pediatric research activities to avoid duplicative efforts. Additionally, the Department of Health and Human Services must report, within five years, to Congress about research funded through the initiative.

Sponsors: Rep. Wexton, Jennifer [D-VA-10]

Target Audience

Population: Children suffering from pediatric diseases

Estimated Size: 5000000

Reasoning

Simulated Interviews

Pediatric Oncologist (Raleigh, NC)

Age: 34 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 12/20

Statement of Opinion:

  • The policy will allow us to advance our research, which could improve current treatments.
  • In the short term, this means more resources for ongoing projects and potential for new studies.

Wellbeing Over Time (With vs Without Policy)

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

Parent of a child with cystic fibrosis (Los Angeles, CA)

Age: 45 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • This policy gives us hope that research could lead to better treatments or even a cure.
  • Coordinated efforts are crucial to avoid redundant studies and to maximize impact.

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 5
Year 20 9 5

Research Scientist (Boston, MA)

Age: 29 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 14/20

Statement of Opinion:

  • Increased funding and focus could accelerate breakthroughs in our studies.
  • This policy might help us secure grants that we often struggle to obtain despite the importance of our work.

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 6
Year 20 9 6

Healthcare Policy Analyst (Chicago, IL)

Age: 37 | Gender: other

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • The streamlining of research is an essential component that could optimize fund usage.
  • Ensuring equitable distribution of research benefits across different demographics is paramount.

Wellbeing Over Time (With vs Without Policy)

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

Pharmaceutical Executive (Houston, TX)

Age: 52 | Gender: male

Wellbeing Before Policy: 9

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • This policy can potentially expedite the introduction of innovative drugs into the market by boosting research advancements.
  • Collaboration with national research initiatives is beneficial for commercial developments.

Wellbeing Over Time (With vs Without Policy)

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

Graduate Student (New York, NY)

Age: 25 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 14/20

Statement of Opinion:

  • Improved funding and coordination could potentially be a case study for my research.
  • The optimizations expected from this policy are promising.

Wellbeing Over Time (With vs Without Policy)

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

Social Worker (Denver, CO)

Age: 40 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • Families benefit from the hope that enhanced research yields faster answers to their children's conditions.
  • The policy could foster a stronger network of support services around these research findings.

Wellbeing Over Time (With vs Without Policy)

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

Therapist (Phoenix, AZ)

Age: 60 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 10/20

Statement of Opinion:

  • Research advancements give hope, which is critical to the mental health of these families.
  • Knowing there is a push towards coordinated research efforts can be reassuring for families.

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 8 6
Year 10 9 6
Year 20 9 6

Student (Miami, FL)

Age: 12 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 4/20

Statement of Opinion:

  • I hope new research means I can spend less time sick and more time playing with friends.
  • It would be great if doctors could learn more from other cities and countries about my condition.

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 5
Year 20 8 5

Public Health Official (Seattle, WA)

Age: 50 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 15.0 years

Commonness: 7/20

Statement of Opinion:

  • Coordinated efforts can help distribute the benefits of research more evenly across different communities.
  • It would be crucial to ensure that even marginalized communities benefit from the findings of such research.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $20000000 (Low: $15000000, High: $25000000)

Year 2: $21000000 (Low: $16000000, High: $26000000)

Year 3: $22000000 (Low: $17000000, High: $27000000)

Year 5: $24000000 (Low: $19000000, High: $29000000)

Year 10: $30000000 (Low: $20000000, High: $28000000)

Year 100: $20000000 (Low: $15000000, High: $29000000)

Key Considerations