Policy Impact Analysis - 117/S/4156

Bill Overview

Title: VA Workforce Improvement, Support, and Expansion (WISE) Act of 2022

Description: This bill modifies various policies and procedures of the Department of Veterans Affairs that are related to (1) the training, recruitment, and retention of VA employees, including in the Veterans Health Administration; (2) personnel matters, such as those related to pay and bonuses; and (3) VA assistance with national emergencies.

Sponsors: Sen. Tester, Jon [D-MT]

Target Audience

Population: Employees of the Department of Veterans Affairs

Estimated Size: 365000

Reasoning

Simulated Interviews

VA Nurse (San Diego, CA)

Age: 35 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 15/20

Statement of Opinion:

  • The new policies should help reduce staff turnover, which is quite high in my ward.
  • Incentives like tuition reimbursement will allow me to further my education while working.
  • I appreciate the focus on emergency preparedness; it makes our jobs and outcomes more meaningful.

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 5
Year 10 9 5
Year 20 9 5

Veteran Affairs Program Analyst (Houston, TX)

Age: 29 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • Any improvement in pay or career progression opportunities will be welcomed.
  • Our team has struggled to keep up with workload, so these changes could really help.
  • I hope there's a clear shift towards efficiency rather than bureaucracy.

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 9 7
Year 10 8 7
Year 20 8 7

VA Psychiatrist (Detroit, MI)

Age: 54 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 12/20

Statement of Opinion:

  • Mental health services always seem underfunded; I hope that's addressed.
  • Additional support directly to our sector would make a big difference.
  • I'm cautiously optimistic about long-term effects but worry about initial resource distribution.

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 9 5
Year 10 9 5
Year 20 9 5

VA Policy Advisor (Washington D.C.)

Age: 42 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • It's always a challenge to get all the moving parts aligned for such policy changes.
  • If the policies are implemented well, we might really see an uptick in morale and efficiency.
  • Being part of the change process is rewarding, but the pressure is immense.

Wellbeing Over Time (With vs Without Policy)

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

VA Hospital Administrator (Rural Kansas)

Age: 38 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 9/20

Statement of Opinion:

  • Addressing recruitment challenges is critical for rural areas like ours.
  • If this leads to more stability and predictable incentives, it's a huge win.
  • I'm hopeful that policy will prioritize areas most in need, like rural initiatives.

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 7 4

VA Benefits Officer (New York, NY)

Age: 45 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 11/20

Statement of Opinion:

  • I hope any bonus structures will include those of us in high-pressure roles like benefits officers.
  • Expanding staff to reduce caseloads is crucial for us.
  • For employees and veterans both, improvements in our systems will be beneficial.

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 7

VA Facilities Manager (Seattle, WA)

Age: 50 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 8/20

Statement of Opinion:

  • Infrastructure needs are growing, and any improvements would be much appreciated.
  • I believe national emergency preparedness should be a priority.
  • We need specifics on how the workforce improvement translates to my area.

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 7 6

Retired VA Nurse (Atlanta, GA)

Age: 61 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 14/20

Statement of Opinion:

  • Even in retirement, I'm interested to see how new policies will affect the friends and former colleagues still working.
  • I have some consulting work, and streamlined operations based on these changes could make a difference.
  • My focus is on whether there are genuine improvements in patient care metrics.

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 8 7
Year 10 8 7
Year 20 7 7

VA Medical Student Resident (Boston, MA)

Age: 27 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 13/20

Statement of Opinion:

  • The promised improvements could certainly impact my decision to stay within the VA system after residency.
  • The additional support for trainees can be life-altering early in a career.
  • I'm hoping for enhanced supervision and mentoring opportunities.

Wellbeing Over Time (With vs Without Policy)

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

VA IT Specialist (Phoenix, AZ)

Age: 48 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 9/20

Statement of Opinion:

  • Investments in IT must ensure that our systems remain secure and efficient.
  • Workforce expansion means more data, thus requiring robust IT systems.
  • A clear policy in favor of IT improvements will help manage our workload effectively.

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 6
Year 10 8 6
Year 20 8 6

Cost Estimates

Year 1: $500000000 (Low: $450000000, High: $550000000)

Year 2: $525000000 (Low: $475000000, High: $575000000)

Year 3: $550000000 (Low: $500000000, High: $600000000)

Year 5: $600000000 (Low: $550000000, High: $650000000)

Year 10: $700000000 (Low: $650000000, High: $750000000)

Year 100: $1500000000 (Low: $1400000000, High: $1600000000)

Key Considerations