Policy Impact Analysis - 117/HR/8458

Bill Overview

Title: To ensure eligibility for public safety officer death benefits for officers exposed to radiation at clandestine laboratories, and for other purposes.

Description: This bill requires the Department of Justice to specify that the definition of the term injury in a regulation for the Public Safety Officers' Benefits program specifically includes radiation exposure at a clandestine laboratory.

Sponsors: Rep. Owens, Burgess [R-UT-4]

Target Audience

Population: Public safety officers potentially exposed to radiation at clandestine labs

Estimated Size: 50000

Reasoning

Simulated Interviews

Police Detective (Los Angeles, CA)

Age: 35 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 5/20

Statement of Opinion:

  • I worry about the safety risks involved in drug lab investigations, especially when it comes to unseen threats like radiation.
  • The additional benefits would be reassuring to have, knowing my family could be protected if anything were to happen to me.

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 6
Year 20 9 6

Firefighter (Houston, TX)

Age: 29 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • I think this new policy would be a safety net for those of us who are at risk during these dangerous calls.
  • It's always been on my mind that we might not be fully covered if we get sick from something like radiation.

Wellbeing Over Time (With vs Without Policy)

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

Special Agent with DEA (Philadelphia, PA)

Age: 42 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 3/20

Statement of Opinion:

  • My job may expose me to hidden dangers, and this policy could provide better security for myself and my loved ones.
  • Having this in place could potentially reduce my stress regarding such risky assignments.

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 8 5
Year 10 8 5
Year 20 8 5

Police Sergeant (Chicago, IL)

Age: 50 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • As a supervisor, I see the value in this policy for providing peace of mind to my officers.
  • This could improve morale knowing there is more support if something happens.

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 7 6
Year 10 7 6
Year 20 7 6

State Trooper (Salt Lake City, UT)

Age: 38 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 10/20

Statement of Opinion:

  • Infrequent exposure means this policy might not be as important to me personally, but I see its value for others.
  • It's still a good protective measure.

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

Paramedic (Miami, FL)

Age: 27 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 7/20

Statement of Opinion:

  • This policy could be a great relief, especially when dealing with potentially harmful environments.
  • It's important to have measures that account for all possible exposures.

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 8 7
Year 10 8 7
Year 20 8 7

Emergency Response Coordinator (New York, NY)

Age: 44 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • As a planner, incorporating this policy into our protocols will be essential.
  • It could enhance how we handle officer welfare post-exposure.

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

Environmental Specialist (Detroit, MI)

Age: 32 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 12/20

Statement of Opinion:

  • Though I'm not a direct beneficiary, this policy seems like a solid step for protecting law enforcement.
  • I feel it might indirectly benefit my work environment as well.

Wellbeing Over Time (With vs Without Policy)

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

Police Officer (Phoenix, AZ)

Age: 30 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 15/20

Statement of Opinion:

  • Increased benefits for exposure are reassuring but might not impact me directly.
  • I'm more concerned with day-to-day threats than rare exposures.

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

Police Lieutenant (Denver, CO)

Age: 47 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 5/20

Statement of Opinion:

  • This lawyer's backing for radiation coverage makes sending officers into these labs slightly more comfortable.
  • Important for officer morale and family security.

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 8 7
Year 10 8 7
Year 20 8 7

Cost Estimates

Year 1: $2000000 (Low: $1000000, High: $5000000)

Year 2: $2100000 (Low: $1050000, High: $5250000)

Year 3: $2200000 (Low: $1100000, High: $5500000)

Year 5: $2500000 (Low: $1250000, High: $6250000)

Year 10: $3000000 (Low: $1500000, High: $7500000)

Year 100: $10000000 (Low: $5000000, High: $25000000)

Key Considerations