Stroke treatment economic model (STEM): predicting long-term costs from functional status.

Area of Science:

• Health Economics
• Neurology
• Public Health

Background:

• Stroke imposes significant long-term social and economic burdens.
• Emerging acute ischemic stroke therapies necessitate understanding their economic implications.

Purpose of the Study:

• To develop a comprehensive stroke economic model for assessing long-term costs.
• To evaluate the economic impact of novel stroke interventions.

Main Methods:

• A 3-module model: short-term (clinical trial data), long-term (Markov submodels for patient transitions), and a bridge component.
• Model links functional recovery, treatment, and residential locations for economic impact estimation.
• Utilized data from two international trials and UK unit costs for analysis.

Main Results:

• Short-term management cost estimated at £8,326 (US $13,649), with hospital stay as the primary driver.
• Long-term cost predictions: £75,985 (US $124,564) for major stroke, £27,995 (US $45,893) for minor stroke.
• Significant differences in patient locations observed between functional groups post-treatment.

Conclusions:

• The model effectively estimates long-term economic impacts of stroke interventions by linking functional status and patient location.
• Utilizing patient location as a foundation enhances data-driven quantification and confidence in economic impact assessments.
• This approach provides a robust framework for evaluating the economic value of new stroke treatments.