Bill Overview
Title: National Neurological Conditions Surveillance System Reauthorization Act of 2022
Description: This bill reauthorizes through FY2027 the National Neurological Conditions Surveillance System. The system, managed by the Centers for Disease Control and Prevention, tracks the epidemiology of neurological conditions using various data sources, tools, and analytic methods.
Sponsors: Sen. Murphy, Christopher [D-CT]
Target Audience
Population: Individuals worldwide with or at risk of neurological conditions
Estimated Size: 75000000
- The National Neurological Conditions Surveillance System is focused on tracking neurological conditions.
- Neurological conditions can include a wide range of disorders such as Alzheimer's disease, Parkinson's disease, epilepsy, multiple sclerosis, and others.
- According to the World Health Organization, hundreds of millions of people globally suffer from neurological conditions.
- The reauthorization will impact individuals either diagnosed with or at risk of neurological conditions due to enhanced disease monitoring and data collection.
Reasoning
- The policy primarily affects individuals either diagnosed with or at risk for neurological diseases, their families, and healthcare providers.
- Because millions of Americans live with neurological conditions, the surveillance system can provide crucial data aiding diagnoses, treatment, and policy development.
- Individuals not in direct contact with these conditions, like average healthy adults, may not see any immediate impact, therefore providing perspective on 'unaffected individuals'.
- Impacts will be varied upon the type of work, lifestyle, and location of individuals as different demographics might interact differently with healthcare improvements and data gathering.
- It's important to consider diverse genders and age groups to see how neurological condition tracking affects different parts of society.
Simulated Interviews
retired teacher (Florida)
Age: 68 | Gender: female
Wellbeing Before Policy: 4
Duration of Impact: 10.0 years
Commonness: 3/20
Statement of Opinion:
- I have been worried about how well we are tracking the progression of diseases like mine. Knowing there's a focus on surveillance is somewhat reassuring.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 4 |
| Year 2 | 5 | 4 |
| Year 3 | 6 | 4 |
| Year 5 | 6 | 5 |
| Year 10 | 7 | 4 |
| Year 20 | 4 | 3 |
retired engineer (California)
Age: 76 | Gender: male
Wellbeing Before Policy: 5
Duration of Impact: 20.0 years
Commonness: 2/20
Statement of Opinion:
- Improved disease tracking could help facilitate better treatment protocols and policies.
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 | 4 |
| Year 20 | 6 | 3 |
software developer (Texas)
Age: 30 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 20.0 years
Commonness: 5/20
Statement of Opinion:
- I hope this leads to better understanding and management of epilepsy.
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 | 6 |
| Year 20 | 7 | 5 |
neurosurgeon (New York)
Age: 45 | Gender: male
Wellbeing Before Policy: 8
Duration of Impact: 10.0 years
Commonness: 7/20
Statement of Opinion:
- The reauthorization will be beneficial for evidence-based practice in neurology.
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 | 7 |
stay-at-home mom (Ohio)
Age: 39 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 15.0 years
Commonness: 6/20
Statement of Opinion:
- A better data system might help understand links between neurological conditions and developmental disorders like autism.
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 | 8 | 5 |
| Year 20 | 6 | 4 |
truck driver (Illinois)
Age: 52 | Gender: male
Wellbeing Before Policy: 8
Duration of Impact: 0.0 years
Commonness: 12/20
Statement of Opinion:
- I don't expect this new development to affect me directly, but it's good for those in need.
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 | 8 |
| Year 10 | 8 | 8 |
| Year 20 | 8 | 8 |
nurse (Georgia)
Age: 55 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 20.0 years
Commonness: 8/20
Statement of Opinion:
- Access to more comprehensive data will undoubtedly help us deliver better care.
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 | 7 |
| Year 20 | 8 | 6 |
writer (Vermont)
Age: 67 | Gender: other
Wellbeing Before Policy: 6
Duration of Impact: 10.0 years
Commonness: 4/20
Statement of Opinion:
- I'm hoping better monitoring helps in earlier management for at-risk individuals like myself.
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 | 5 |
| Year 20 | 6 | 4 |
government worker (Washington)
Age: 61 | Gender: male
Wellbeing Before Policy: 5
Duration of Impact: 15.0 years
Commonness: 5/20
Statement of Opinion:
- Tracking these conditions more effectively could improve care options for my sibling.
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 | 7 | 5 |
| Year 20 | 5 | 5 |
graduate student in public health (Colorado)
Age: 34 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 20.0 years
Commonness: 9/20
Statement of Opinion:
- An expanded data system could vastly improve research efficacy and outcomes.
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 | 7 |
| Year 20 | 8 | 6 |
Cost Estimates
Year 1: $15000000 (Low: $12000000, High: $20000000)
Year 2: $15500000 (Low: $12500000, High: $21000000)
Year 3: $16000000 (Low: $13000000, High: $22000000)
Year 5: $17000000 (Low: $14000000, High: $24000000)
Year 10: $18000000 (Low: $15000000, High: $26000000)
Year 100: $20000000 (Low: $17000000, High: $30000000)
Key Considerations
- The need for ongoing funding beyond FY2027 will depend on the perceived effectiveness of the surveillance system.
- Coordination with state and local health departments will be crucial to maximize the effectiveness of the system.
- The system's success depends on the timely analysis and dissemination of data to relevant stakeholders.