Policy Impact Analysis - 117/HR/7436

Bill Overview

Title: To amend title 38, United States Code, to improve the quality assurance program of the Veterans Benefits Administration of the Department of Veterans Affairs.

Description: This bill implements oversight procedures related to quality assurance in the Veterans Benefits Administration (VBA) of the Department of Veterans Affairs (VA). Specifically, the bill requires the VA to implement a plan to strengthen oversight of the quality assurance program in the VBA. The VA must monitor the plan to address any deficiencies. The VBA must annually compile a list of common recurring deficiencies and action items relating to disability compensation identified in its ongoing reviews of the functions of each of its principal organizational elements. Additionally, the VBA must develop and carry out a plan to address the recurring deficiencies and action items. The Government Accountability Office must conduct a feasibility study of the VA entering a contract with a nongovernmental entity to carry out the quality assurance program in the VBA.

Sponsors: Rep. Cloud, Michael [R-TX-27]

Target Audience

Population: Veterans and their beneficiaries receiving benefits from the VBA

Estimated Size: 19000000

Reasoning

Simulated Interviews

Construction Worker (Atlanta, Georgia)

Age: 34 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • Having dealt with a lot of red tape, anything that makes the claims process smoother is a positive for us.
  • If the policy succeeds in reducing deficiencies, it might take less time to get through evaluations.

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 5
Year 10 8 5
Year 20 7 4

Nurse (San Diego, California)

Age: 58 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 14/20

Statement of Opinion:

  • Any improvement in processing can help reduce stress for families involved in multiple claims.
  • Seeing fewer errors in benefit determinations would save a lot of time.

Wellbeing Over Time (With vs Without Policy)

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

Small Business Owner (Houston, Texas)

Age: 45 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 8/20

Statement of Opinion:

  • I rarely deal with the VBA, so this policy seems like it would affect others more.
  • If it improves processes, that's good for those in need.

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

Retired (Seattle, Washington)

Age: 62 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • Managing claims has been challenging without my husband, so improvements would really help.
  • Appropriate oversight could speed up processing times—definitely needed.

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 5

Software Developer (New York, New York)

Age: 29 | Gender: male

Wellbeing Before Policy: 9

Duration of Impact: 0.0 years

Commonness: 7/20

Statement of Opinion:

  • I don't think this policy will affect me directly unless I need to use those services in the future.
  • Improved services are crucial, but not personally impactful right now.

Wellbeing Over Time (With vs Without Policy)

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

Retired (Miami, Florida)

Age: 73 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 20.0 years

Commonness: 5/20

Statement of Opinion:

  • It's difficult managing all the paperwork and seeing the deserving veterans wait so long.
  • Any effort to streamline and correct system flaws is a blessing.

Wellbeing Over Time (With vs Without Policy)

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

Elementary School Teacher (Charleston, South Carolina)

Age: 50 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 11/20

Statement of Opinion:

  • Navigating the bureaucracy can be exhausting, any reduction in deficiencies is a step forward.
  • Decreased errors mean fewer headaches dealing with VBA.

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 7 5

IT Manager (Phoenix, Arizona)

Age: 40 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 9/20

Statement of Opinion:

  • The hang-ups in the system have been challenging for me and my family, so solutions are desperately needed.
  • I feel a positive change can come from having stricter oversight.

Wellbeing Over Time (With vs Without Policy)

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

Accountant (Chicago, Illinois)

Age: 37 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 15/20

Statement of Opinion:

  • Enhanced oversight could lead to better handling of benefits.
  • I'm cautiously optimistic about the proposed improvements.

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 6

Retired Government Employee (Boston, Massachusetts)

Age: 65 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 13/20

Statement of Opinion:

  • Having spent time waiting for claims, I know how critical oversight is.
  • Betterment of services is dearly needed in our community.

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 7 5

Cost Estimates

Year 1: $30000000 (Low: $20000000, High: $40000000)

Year 2: $25000000 (Low: $15000000, High: $35000000)

Year 3: $25000000 (Low: $15000000, High: $35000000)

Year 5: $30000000 (Low: $20000000, High: $40000000)

Year 10: $35000000 (Low: $25000000, High: $45000000)

Year 100: $40000000 (Low: $30000000, High: $50000000)

Key Considerations