Policy Impact Analysis - 117/HR/8876

Bill Overview

Title: Jackie Walorski Maternal and Child Home Visiting Reauthorization Act of 2022

Description: This bill reauthorizes through FY2027, increases funding for, and modifies the Maternal, Infant, and Early Childhood Home Visiting Program. This program supports home visits for expectant and new parents who live in communities that are at-risk for poor maternal and child health outcomes. Changes to the program include setting out requirements for allocating program funds; increasing the percentage of funds reserved for tribal entities; establishing a publicly available dashboard that reports program outcomes; requiring activities to reduce unnecessary data collection, reporting, and other administrative requirements of the program; and allowing for virtual home visits (provided certain conditions are met). The bill also reduces funding for the Medicare Improvement Fund.

Sponsors: Rep. Davis, Danny K. [D-IL-7]

Target Audience

Population: Expectant and new parents in at-risk communities

Estimated Size: 4000000

Reasoning

Simulated Interviews

K-12 Teacher (Detroit, MI)

Age: 28 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 17/20

Statement of Opinion:

  • I feel overwhelmed with my first pregnancy and I'm worried about health care and support systems available.
  • This program sounds like a lifeline for people like me who need guidance and reassurance.

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 7 5
Year 20 6 4

Stay-at-home Parent (Navajo Nation, AZ)

Age: 22 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 20.0 years

Commonness: 15/20

Statement of Opinion:

  • Additional resources and support could really help bridge some gaps we face in our healthcare.
  • Virtual visits could be a game-changer in terms of accessibility.

Wellbeing Over Time (With vs Without Policy)

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

Healthcare Administrator (Chicago, IL)

Age: 35 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • Programs like these are instrumental in promoting early childhood health in disadvantaged areas.
  • This could alleviate some of the systemic issues we see due to underfunded public health efforts.

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 7 6
Year 20 7 5

Part-time Retail Worker (Appalachian Region, WV)

Age: 30 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • The existing services aren't enough and sometimes not even accessible.
  • Extra help with visiting nurses or virtual appointments could make a huge difference in our health and well-being.

Wellbeing Over Time (With vs Without Policy)

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

IT Specialist (Los Angeles, CA)

Age: 40 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 9/20

Statement of Opinion:

  • This program doesn't directly affect me, but I see how impactful it can be for struggling families.
  • If successful, it could reduce healthcare costs broadly by preventing issues early.

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

High School Student (Rural Alabama)

Age: 19 | Gender: female

Wellbeing Before Policy: 3

Duration of Impact: 10.0 years

Commonness: 14/20

Statement of Opinion:

  • I often feel overwhelmed and isolated; this program could provide guidance and support I desperately need.
  • Virtual visits might help—I'm too far from any major health centers.

Wellbeing Over Time (With vs Without Policy)

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

Non-profit Worker (New York, NY)

Age: 45 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • Although not directly impacted, I support these initiatives for our community's health.
  • It's essential to give our youngest a good start—could reduce future societal costs.

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 7
Year 10 7 7
Year 20 7 6

Construction Worker (Houston, TX)

Age: 29 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 11/20

Statement of Opinion:

  • I've been stressed about healthcare access. Additional support could ease that burden.
  • Programs like these should be expanded beyond at-risk communities to cover more of us struggling with new parenthood.

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 5 4

Chef (Santa Fe, NM)

Age: 34 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 20.0 years

Commonness: 13/20

Statement of Opinion:

  • I could really use something like this as we navigate difficult times.
  • Access to home visiting could provide crucial support and reassurance.

Wellbeing Over Time (With vs Without Policy)

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

Software Engineer (Seattle, WA)

Age: 50 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 5/20

Statement of Opinion:

  • This policy doesn't impact me personally, but it's vital to invest in community health.
  • Such programs could have broader implications for healthcare equity.

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

Cost Estimates

Year 1: $450000000 (Low: $400000000, High: $500000000)

Year 2: $460000000 (Low: $410000000, High: $510000000)

Year 3: $475000000 (Low: $420000000, High: $530000000)

Year 5: $500000000 (Low: $440000000, High: $560000000)

Year 10: $550000000 (Low: $490000000, High: $620000000)

Year 100: $600000000 (Low: $540000000, High: $680000000)

Key Considerations