Analyzing National Health Reform Strategies With a Dynamic Simulation Model
Bibliographic Data
Proposals to improve the US health system are commonly supported by models that have only a few variables and overlook certain processes that may delay, dilute, or defeat intervention effects. We use an evidence-based dynamic simulation model with a broad national scope to analyze 5 policy proposals. Our results suggest that expanding insurance coverage and improving health care quality would likely improve health status but would also raise costs and worsen health inequity, whereas a strategy that also strengthens primary care capacity and emphasizes health protection would improve health status, reduce inequities, and lower costs. A software interface allows diverse stakeholders to interact with the model through a policy simulation game called HealthBound
Actuarial science · Business · Economic growth · Economics · Environmental health · Health care · Health equity · Intervention (counseling) · Public economics · Quality (philosophy) · Risk analysis (engineering) · Scope (computer science) · Computer Science · Health Systems, Economic Evaluations, Quality of Life · Healthcare Policy and Management · Medicine · Nursing · Primary Care and Health Outcomes · Health Policy
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| Unique citing works | 18 |
|---|---|
| Citations per year | 1,2 |
| Citation span | 2011 - 2026 (16) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 17 |