Policy Impact Analysis - 117/S/4091

Bill Overview

Title: Overdose Review Team Act

Description: This bill provides funding to the Department of Health and Human Services for grants that support drug overdose fatality review teams in states, Indian tribes, territories, and localities. These multidisciplinary teams track fatal and nonfatal drug overdoses that occur in the jurisdiction to identify relevant trends and patterns and recommend policies and practices for preventing and reducing drug overdoses.

Sponsors: Sen. Whitehouse, Sheldon [D-RI]

Target Audience

Population: Individuals at risk of drug overdose

Estimated Size: 15000000

Reasoning

Simulated Interviews

Factory worker (West Virginia)

Age: 45 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • I have lost several coworkers to opioid overdoses, and it's scary in our community.
  • Anything that helps save lives here is a good idea, but I hope they get enough funding to reach us.

Wellbeing Over Time (With vs Without Policy)

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

Healthcare worker (California)

Age: 28 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • The ER sees too many overdoses weekly.
  • More data and prevention practices from policy like this can help us immensely.

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 4
Year 10 5 4
Year 20 5 4

College student (New York)

Age: 19 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 12/20

Statement of Opinion:

  • I've seen friends overdose.
  • If policies from these teams can prevent such incidents, it'll be a game-changer in university life.

Wellbeing Over Time (With vs Without Policy)

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

Retired (Oklahoma)

Age: 60 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • In our support groups, we've seen families torn apart by overdoses.
  • Review teams may help us support these families better.

Wellbeing Over Time (With vs Without Policy)

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

Pharmacist (New Mexico)

Age: 34 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 6.0 years

Commonness: 10/20

Statement of Opinion:

  • It's challenging when I know the prescriptions might end in misuse.
  • Better tracking of overdose data could help change practices I see daily.

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 4
Year 10 6 4
Year 20 5 3

Public Health Official (Kentucky)

Age: 50 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 7.0 years

Commonness: 5/20

Statement of Opinion:

  • This funding can bolster our current efforts and expand them.
  • It's critical for refining our approach to this devastating issue.

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 5
Year 10 7 5
Year 20 7 5

Student (Ohio)

Age: 22 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • I fear relapse, and seeing overdose patterns is scary.
  • Policies that help in reducing overdoses can help people like me stay clean.

Wellbeing Over Time (With vs Without Policy)

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

Software Developer (Utah)

Age: 40 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 15/20

Statement of Opinion:

  • I haven't seen much personal impact from overdoses.
  • While the policy seems needed, I doubt I'll notice any change.

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

Small business owner (Florida)

Age: 37 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 11/20

Statement of Opinion:

  • Rising overdose rates are a community worry here.
  • Proactive teams could address this and help local families feel safer.

Wellbeing Over Time (With vs Without Policy)

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

Social worker (Massachusetts)

Age: 25 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 6.0 years

Commonness: 9/20

Statement of Opinion:

  • Overdose interventions are crucial parts of my job.
  • A policy that provides more information on preventing drug misuse is invaluable.

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 7 4
Year 20 6 3

Cost Estimates

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

Year 2: $21000000 (Low: $15750000, High: $26250000)

Year 3: $22050000 (Low: $16537500, High: $27562500)

Year 5: $24255000 (Low: $18191250, High: $30218750)

Year 10: $29295750 (Low: $21971813, High: $36524688)

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

Key Considerations