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Quantifying Health Across Populations.

Stephen Kershnar

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    |January 15, 2016
    PubMed
    Summary

    This study proposes averagism for theoretically measuring population health and totalism for practical applications like cost-benefit analysis in healthcare. These approaches offer distinct advantages in quantifying population well-being.

    Area of Science:

    • Public Health
    • Health Economics
    • Philosophy of Medicine

    Background:

    • Quantifying population health is crucial for resource allocation and policy decisions.
    • Existing models for population health measurement face theoretical and practical challenges.

    Purpose of the Study:

    • To propose and defend averagism as the optimal theoretical framework for population health.
    • To advocate for totalism as the most effective practical method for population health assessment.
    • To reconcile theoretical and practical approaches to population health measurement.

    Main Methods:

    • Theoretical argumentation for averagism, addressing objections like the repugnant conclusion.
    • Justification of totalism based on its compatibility with cost-benefit analysis in healthcare.
    Keywords:
    healthpathologypublic healthquantifyingranking

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  • Philosophical analysis of the alignment between theoretical ideals and practical application in population health.
  • Main Results:

    • Averagism provides a robust theoretical measure of population health, avoiding common philosophical pitfalls.
    • Totalism offers a practical and applicable method for population health valuation, aligning with economic principles.
    • Theoretical and practical frameworks for population health can be distinct yet compatible.

    Conclusions:

    • Averagism is theoretically superior for defining population health.
    • Totalism is practically advantageous for healthcare cost-benefit analyses.
    • The distinction between theoretical and practical measurement is essential for effective population health strategies.