Bill Overview
Title: Community Multi-Share Coverage Program Act
Description: This bill establishes a pilot program to provide health coverage and employment supports for low-income individuals through partnerships between community organizations and hospitals.
Sponsors: Rep. Huizenga, Bill [R-MI-2]
Target Audience
Population: Low-income individuals needing health coverage and employment support
Estimated Size: 300000
- The bill focuses on low-income individuals, specifically addressing their health coverage needs.
- It involves partnerships between community organizations and hospitals, indicating a community-based approach to reach individuals directly in their localities.
- Programs like this are typically designed to reach populations facing barriers to accessing traditional health insurance.
Reasoning
- The target population size is estimated at 500,000, but the budget over 10 years suggests that not all individuals will receive the program's benefits, at least initially.
- The budget allows for significant impact in community health, so long-term improvements in wellbeing scores are plausible.
- We need to include a variety of perspectives including those directly benefiting from the program, individuals who might see indirect benefits, and those who see no impact at all.
Simulated Interviews
Retail Worker (Detroit, MI)
Age: 30 | Gender: female
Wellbeing Before Policy: 3
Duration of Impact: 20.0 years
Commonness: 15/20
Statement of Opinion:
- I haven't had health insurance for years. This program could mean regular check-ups and peace of mind for me and my kids.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 3 |
| Year 2 | 6 | 3 |
| Year 3 | 6 | 3 |
| Year 5 | 7 | 3 |
| Year 10 | 8 | 2 |
| Year 20 | 8 | 2 |
Farmer (Rural Alabama)
Age: 42 | Gender: male
Wellbeing Before Policy: 4
Duration of Impact: 10.0 years
Commonness: 12/20
Statement of Opinion:
- Access to healthcare in rural areas is tough. If this program improves that, it could be a lifesaver.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 4 |
| Year 2 | 6 | 4 |
| Year 3 | 6 | 4 |
| Year 5 | 6 | 3 |
| Year 10 | 5 | 3 |
| Year 20 | 4 | 2 |
Part-time barista (San Francisco, CA)
Age: 25 | Gender: other
Wellbeing Before Policy: 5
Duration of Impact: 5.0 years
Commonness: 10/20
Statement of Opinion:
- It would be great if this saves me money on healthcare, but in a city like this, housing costs are still my biggest stress.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 5 |
| Year 2 | 5 | 5 |
| Year 3 | 5 | 5 |
| Year 5 | 5 | 5 |
| Year 10 | 5 | 5 |
| Year 20 | 5 | 5 |
Home Health Aide (Phoenix, AZ)
Age: 57 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 15.0 years
Commonness: 8/20
Statement of Opinion:
- As I near retirement, having a reliable health plan is a major concern.
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 | 5 |
| Year 10 | 6 | 5 |
| Year 20 | 6 | 4 |
Part-time Uber driver (New York, NY)
Age: 50 | Gender: male
Wellbeing Before Policy: 7
Duration of Impact: 0.0 years
Commonness: 14/20
Statement of Opinion:
- I think it's a great idea to help those in need, although personally, I'm managing for now.
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 (Chicago, IL)
Age: 63 | Gender: female
Wellbeing Before Policy: 4
Duration of Impact: 10.0 years
Commonness: 9/20
Statement of Opinion:
- My biggest worry is making my savings last, so less expensive healthcare will help.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 4 |
| Year 2 | 6 | 4 |
| Year 3 | 6 | 3 |
| Year 5 | 6 | 3 |
| Year 10 | 5 | 2 |
| Year 20 | 4 | 2 |
Unemployed (Los Angeles, CA)
Age: 22 | Gender: male
Wellbeing Before Policy: 4
Duration of Impact: 3.0 years
Commonness: 11/20
Statement of Opinion:
- I just lost my job, so any support is better than none. It might allow me to focus on finding work.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 4 |
| Year 2 | 6 | 3 |
| Year 3 | 5 | 3 |
| Year 5 | 4 | 3 |
| Year 10 | 4 | 3 |
| Year 20 | 4 | 3 |
Waitress (Denver, CO)
Age: 36 | Gender: female
Wellbeing Before Policy: 5
Duration of Impact: 10.0 years
Commonness: 13/20
Statement of Opinion:
- Support for health coverage will definitely improve my quality of life.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 5 |
| Year 2 | 7 | 5 |
| Year 3 | 7 | 4 |
| Year 5 | 7 | 4 |
| Year 10 | 6 | 4 |
| Year 20 | 5 | 4 |
Car mechanic (Houston, TX)
Age: 28 | Gender: male
Wellbeing Before Policy: 6
Duration of Impact: 7.0 years
Commonness: 10/20
Statement of Opinion:
- Any program that helps with the cost of healthcare is a step in the right direction.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 7 | 6 |
| Year 3 | 7 | 5 |
| Year 5 | 6 | 4 |
| Year 10 | 5 | 3 |
| Year 20 | 5 | 3 |
Teacher (Salt Lake City, UT)
Age: 40 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 5.0 years
Commonness: 7/20
Statement of Opinion:
- If this helps lower my healthcare costs, my family's wellbeing will benefit a lot.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 6 |
| Year 3 | 7 | 6 |
| Year 5 | 7 | 6 |
| Year 10 | 7 | 6 |
| Year 20 | 6 | 5 |
Cost Estimates
Year 1: $200000000 (Low: $180000000, High: $250000000)
Year 2: $150000000 (Low: $130000000, High: $180000000)
Year 3: $150000000 (Low: $130000000, High: $180000000)
Year 5: $0 (Low: $0, High: $0)
Year 10: $0 (Low: $0, High: $0)
Year 100: $0 (Low: $0, High: $0)
Key Considerations
- The program's effectiveness will depend heavily on implementation and management by local community organizations and hospitals.
- Potential for expansion if initial pilot results show significant improvements in access to health coverage and overall health outcomes.