From mono to multi-causality: Towards a comprehensive perspective on understanding death

Area of Science:

• Public Health
• Medical Statistics
• Philosophy of Science

Background:

• Cause-of-death statistics are crucial for health policy and medical research.
• Current statistics rely on a single underlying cause of death, reflecting 18th-century causal models.
• This model is increasingly inadequate for contemporary mortality patterns in high-income countries, characterized by aging populations and complex comorbidities.

Purpose of the Study:

• To propose an innovation in cause-of-death statistics.
• To explore contemporary philosophical concepts of causality and their application to death.
• To advocate for a shift from mono-causality to multi-causality in understanding and reporting causes of death.

Main Methods:

• Review of contemporary philosophical theories on causality.
• Application of these theories to the concept of death.
• Analysis of the limitations of current mono-causal statistical frameworks.

Main Results:

• The traditional single-cause approach to death statistics is insufficient for modern clinical realities.
• Multi-causality offers a more comprehensive framework for understanding death in aging populations with chronic diseases.
• A paradigm shift in cause-of-death statistics is necessary.

Conclusions:

• Rethinking cause-of-death statistics is essential to align with current epidemiological and clinical realities.
• Adopting a multi-causal perspective will provide a more accurate representation of mortality.
• This change will enhance the utility of death statistics for health policy and medical research.