Policy Impact Analysis - 117/HR/8637

Bill Overview

Title: Law Enforcement De-Escalation Training Act of 2022

Description: This bill directs the Department of Justice (DOJ) to develop scenario-based training curricula (or identify existing curricula) that includes topics such as alternatives to the use of force, de-escalation tactics, and safely responding to an individual experiencing a mental, behavioral health, or suicidal crisis. The bill also directs DOJ to make grants to states for costs associated with providing the training to law enforcement officers or mental health professionals.

Sponsors: Rep. Bass, Karen [D-CA-37]

Target Audience

Population: Law enforcement officers and mental health professionals involved in training

Estimated Size: 1000000

Reasoning

Simulated Interviews

Police Officer (Chicago, IL)

Age: 35 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 2/20

Statement of Opinion:

  • I think this training could be really beneficial, especially in high-stress areas like where I work. I've seen situations escalate quickly due to misunderstandings.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 5
Year 3 9 5
Year 5 8 5
Year 10 7 4
Year 20 6 4

Mental Health Professional (Phoenix, AZ)

Age: 29 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • This policy reinforces the need for mental health professionals in law enforcement training. Our programs can better prepare officers for real-world situations.

Wellbeing Over Time (With vs Without Policy)

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

Police Sergeant (Atlanta, GA)

Age: 43 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 4/20

Statement of Opinion:

  • Improving our de-escalation competence is crucial. Current training doesn't adequately cover mental health crises.

Wellbeing Over Time (With vs Without Policy)

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

Sheriff (Helena, MT)

Age: 47 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • In rural areas, we often deal with understaffing, so better crisis response training could reduce resource strain.

Wellbeing Over Time (With vs Without Policy)

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

Police Cadet (Los Angeles, CA)

Age: 23 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 8/20

Statement of Opinion:

  • I'm hopeful that the training will prepare us to handle crisis situations more effectively and empathetically.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 5
Year 2 8 5
Year 3 9 5
Year 5 9 5
Year 10 9 4
Year 20 8 4

Emergency Response Coordinator (New York, NY)

Age: 32 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • Unified training programs across departments will improve efficiency and outcomes during emergencies.

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 8 7
Year 10 8 7
Year 20 8 7

Firefighter/EMT (Dallas, TX)

Age: 37 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • This policy means better coordination in crisis situations, potentially saving more lives by calming tense scenarios.

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 7 5
Year 10 7 5
Year 20 7 5

Community Organizer (New Orleans, LA)

Age: 50 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 15.0 years

Commonness: 4/20

Statement of Opinion:

  • This training is overdue. It could reduce tensions between minority communities and police.

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 5
Year 10 6 5
Year 20 6 4

Social Worker (Detroit, MI)

Age: 28 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • It's about time law enforcement gets training aligned with mental health protocols. This can bridge vital gaps.

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 7 6
Year 10 7 5
Year 20 6 5

Psychologist (Miami, FL)

Age: 42 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 3/20

Statement of Opinion:

  • Collaboration between mental health experts and police will improve with structured training, benefiting everyone involved.

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 8 7
Year 10 8 7
Year 20 8 6

Cost Estimates

Year 1: $150000000 (Low: $125000000, High: $175000000)

Year 2: $100000000 (Low: $80000000, High: $120000000)

Year 3: $90000000 (Low: $75000000, High: $105000000)

Year 5: $80000000 (Low: $65000000, High: $95000000)

Year 10: $70000000 (Low: $55000000, High: $85000000)

Year 100: $50000000 (Low: $40000000, High: $60000000)

Key Considerations