Policy Impact Analysis - 117/S/3968

Bill Overview

Title: CDC Tribal Public Health Security and Preparedness Act

Description: This bill allows tribes and tribal organizations to apply directly to the Centers for Disease Control and Prevention (CDC) for Public Health Emergency Preparedness (PHEP) program funds. Currently, only states and certain local entities may apply for PHEP funds to respond to public health emergencies, such as COVID-19. The CDC must award at least 10 cooperative agreements to tribal applicants. Additionally, the CDC must consult with tribes and tribal organizations to ensure the PHEP program enables these entities to respond to public health emergencies. The CDC may make certain modifications to the program after the consultation.

Sponsors: Sen. Warren, Elizabeth [D-MA]

Target Audience

Population: People living in tribal communities and areas served by tribal organizations in the U.S.

Estimated Size: 5000000

Reasoning

Simulated Interviews

Healthcare worker (Navajo Nation, Arizona)

Age: 34 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 15/20

Statement of Opinion:

  • I feel this policy is crucial for us to have direct resources instead of going through the state.
  • Healthcare on the reservation could really improve, especially in emergencies with direct funding.

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

Tribal leader (Cherokee Nation, Oklahoma)

Age: 50 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • Being able to apply directly will empower our nation to bolster health systems without state level bureaucracy.
  • I see this as an opportunity to train more people in emergency response within the tribe.

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 6
Year 10 9 6
Year 20 8 5

Community Organizer (Urban area with a large Native American population, Minneapolis)

Age: 27 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • I'm unsure how directly this will help urban Natives like those I work with.
  • It's a step in the right direction, but we also need focus on urban health disparities.

Wellbeing Over Time (With vs Without Policy)

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

Epidemiologist (Sioux Falls, South Dakota)

Age: 41 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • Direct funding and strategic partnerships can transform tribal health responses.
  • The success will greatly depend on the cooperation and negotiation processes between tribes and the CDC.

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 8 8

Teacher (Pine Ridge Reservation, South Dakota)

Age: 32 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 15.0 years

Commonness: 12/20

Statement of Opinion:

  • I hope this supports education initiatives as well to spread public health awareness.
  • Access to emergency preparedness resources should improve our community health outcomes.

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 7 5
Year 10 8 5
Year 20 8 5

Student (Alaska Native Village, Fairbanks)

Age: 23 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 9/20

Statement of Opinion:

  • I hope this encourages more young people to enter healthcare fields in our communities.
  • Direct access to funds might speed up improving healthcare infrastructure.

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 8 6
Year 10 8 6
Year 20 8 6

Healthcare Administration (Los Angeles, California)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • The policy could streamline access to emergency supplies, tailored for tribal needs.
  • Realistically, it will take time before we see large improvements in infrastructure.

Wellbeing Over Time (With vs Without Policy)

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

Retired (Rural Montana, Crow Nation)

Age: 60 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 10.0 years

Commonness: 11/20

Statement of Opinion:

  • The policy sounds promising, but execution and continuous support are critical.
  • My hope is to see improved emergency services and healthcare access here.

Wellbeing Over Time (With vs Without Policy)

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

Public Health Analyst (Phoenix, Arizona)

Age: 39 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 9/20

Statement of Opinion:

  • If designed well, this can be a model for how federal programs interact with tribal entities.
  • Monitoring and evaluation will be key for adjustments and better outcomes over time.

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 7
Year 20 8 7

Non-Tribal Resident Near Reservation (Portland, Oregon)

Age: 30 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 6/20

Statement of Opinion:

  • I'm interested to see if this policy encourages partnership and support for health across both tribal and adjacent non-tribal communities.
  • While not directly affected, improvements nearby could trickle over.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $50000000 (Low: $40000000, High: $60000000)

Year 2: $50000000 (Low: $40000000, High: $60000000)

Year 3: $52000000 (Low: $42000000, High: $62000000)

Year 5: $54000000 (Low: $44000000, High: $64000000)

Year 10: $60000000 (Low: $48000000, High: $72000000)

Year 100: $60000000 (Low: $48000000, High: $72000000)

Key Considerations