Simulation applied to health services: opportunities for applying the system dynamics approach

Area of Science:

• Health Services Research
• Policy Analysis
• Simulation Modeling

Background:

• Traditional simulation methods often focus on localized decisions and individual patient care.
• There is a need for holistic modeling approaches in health services research.
• System dynamics (SD) offers an alternative perspective for policy analysis.

Purpose of the Study:

• To raise awareness and broaden understanding of the system dynamics (SD) simulation approach in health services policy analysis.
• To compare SD simulation with traditional simulation methods.
• To highlight the potential of SD in health care policy formation.

Main Methods:

• Review of simulation applications in health services.
• Comparison of system dynamics (SD) and traditional simulation approaches.
• Illustrative case study: reducing waiting times for coronary heart disease treatment.

Main Results:

• SD simulation allows for a more holistic perspective compared to traditional methods.
• SD can analyze the impact of system structure on dynamic behavior over time.
• This approach can assess both tangible (e.g., waiting times, costs) and intangible (e.g., patient anxiety) factors.

Conclusions:

• System dynamics (SD) simulation holds significant potential for health care policy formation.
• SD supports the design of robust policies by understanding underlying system structures.
• The approach facilitates consideration of time-varying tangible and intangible outcomes in health policy.