Policy Impact Analysis - 117/S/5231

Bill Overview

Title: Protecting our Servicemembers through Proven Methods Act of 2022

Description: This bill requires the Department of Defense (DOD) to include new elements in its annual primary prevention research agenda, for example, a focus on whether and to what extent sub-populations of the military community may be targeted for interpersonal violence more than others. The bill also requires the Government Accountability Office to submit a report to Congress (1) comparing the DOD's sexual harassment and prevention training with similar programs at other federal departments and agencies; and (2) that includes relevant data collected by colleges, universities, and other relevant outside entities on hazing, bullying, and interpersonal and self-directed violence.

Sponsors: Sen. Cornyn, John [R-TX]

Target Audience

Population: People serving in military forces globally

Estimated Size: 2100000

Reasoning

Simulated Interviews

Active-Duty Military Officer (San Diego, CA)

Age: 24 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 15/20

Statement of Opinion:

  • I think this focus on sub-populations is essential.
  • There's often a lack of understanding about what different groups face.

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 5
Year 20 9 5

Enlisted Army Personnel (Fort Bragg, NC)

Age: 32 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 17/20

Statement of Opinion:

  • I hope this leads to better training and understanding for everyone.
  • My wife worries about the culture in the military.

Wellbeing Over Time (With vs Without Policy)

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

Reservist (Anchorage, AK)

Age: 41 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • Reservists sometimes feel overlooked, so this might help.
  • I’m interested in the mentorship opportunities that could arise.

Wellbeing Over Time (With vs Without Policy)

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

Military Healthcare Professional (Norfolk, VA)

Age: 28 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • This policy could help identify more risks that we weren't even aware of.
  • Better data means better ways to help.

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

Pentagon Administrative Staff (Washington, D.C.)

Age: 30 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 9/20

Statement of Opinion:

  • The emphasis on diverse perspectives should lead to better military-wide policies.
  • I'm glad to see analysis rather than blanket policies.

Wellbeing Over Time (With vs Without Policy)

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

Retired Military, Consultant (Colorado Springs, CO)

Age: 45 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 3.0 years

Commonness: 11/20

Statement of Opinion:

  • Policies like this were long overdue.
  • It's crucial to adapt military culture to modern values.

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 9 8
Year 10 9 8
Year 20 9 8

Military Family Support Coordinator (Hawaii)

Age: 38 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 8.0 years

Commonness: 14/20

Statement of Opinion:

  • Addressing interpersonal violence is crucial for family wellbeing.
  • I see the potential for impacts on family support systems.

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 8 5
Year 20 8 5

Defense Contractor (Texas)

Age: 29 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • Better training and identification tools will benefit everyone on base.
  • I'm interested in how this will affect contractors as well.

Wellbeing Over Time (With vs Without Policy)

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

Military Veterans Affairs Advocate (New York)

Age: 50 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 2.0 years

Commonness: 13/20

Statement of Opinion:

  • This will hopefully reduce violence during service.
  • Could provide more data to support veterans in civilian life.

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 7 6
Year 10 7 6
Year 20 7 6

Military Training Instructor (Chicago, IL)

Age: 26 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 12.0 years

Commonness: 13/20

Statement of Opinion:

  • Happy to see a focus on sub-populations that could use more attention.
  • I think this will help address some cultural gaps in training.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $15000000 (Low: $12000000, High: $18000000)

Year 2: $12000000 (Low: $10000000, High: $14000000)

Year 3: $10000000 (Low: $8000000, High: $12000000)

Year 5: $8000000 (Low: $6000000, High: $10000000)

Year 10: $5000000 (Low: $4000000, High: $6000000)

Year 100: $1000000 (Low: $800000, High: $1200000)

Key Considerations