Epidemiologic measures and policy formulation: lessons from potential outcomes

<p>Abstract</p> <p>This paper provides a critique of the common practice in the health-policy literature of focusing on hypothetical outcome removal at the expense of intervention analysis. The paper begins with an introduction to measures of causal effects within the potential-out...

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Main Author: Greenland Sander
Format: Article
Language:English
Published: BMC 2005-05-01
Series:Emerging Themes in Epidemiology
Online Access:http://www.ete-online.com/content/2/1/5
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author Greenland Sander
author_facet Greenland Sander
author_sort Greenland Sander
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description <p>Abstract</p> <p>This paper provides a critique of the common practice in the health-policy literature of focusing on hypothetical outcome removal at the expense of intervention analysis. The paper begins with an introduction to measures of causal effects within the potential-outcomes framework, focusing on underlying conceptual models, definitions and drawbacks of special relevance to policy formulation based on epidemiologic data. It is argued that, for policy purposes, one should analyze intervention effects within a multivariate-outcome framework to capture the impact of major sources of morbidity and mortality. This framework can clarify what is captured and missed by summary measures of population health, and shows that the concept of summary measure can and should be extended to multidimensional indices.</p>
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spelling doaj.art-6b2f8b69ee214100af1451a23bee11042022-12-22T02:04:26ZengBMCEmerging Themes in Epidemiology1742-76222005-05-0121510.1186/1742-7622-2-5Epidemiologic measures and policy formulation: lessons from potential outcomesGreenland Sander<p>Abstract</p> <p>This paper provides a critique of the common practice in the health-policy literature of focusing on hypothetical outcome removal at the expense of intervention analysis. The paper begins with an introduction to measures of causal effects within the potential-outcomes framework, focusing on underlying conceptual models, definitions and drawbacks of special relevance to policy formulation based on epidemiologic data. It is argued that, for policy purposes, one should analyze intervention effects within a multivariate-outcome framework to capture the impact of major sources of morbidity and mortality. This framework can clarify what is captured and missed by summary measures of population health, and shows that the concept of summary measure can and should be extended to multidimensional indices.</p>http://www.ete-online.com/content/2/1/5
spellingShingle Greenland Sander
Epidemiologic measures and policy formulation: lessons from potential outcomes
Emerging Themes in Epidemiology
title Epidemiologic measures and policy formulation: lessons from potential outcomes
title_full Epidemiologic measures and policy formulation: lessons from potential outcomes
title_fullStr Epidemiologic measures and policy formulation: lessons from potential outcomes
title_full_unstemmed Epidemiologic measures and policy formulation: lessons from potential outcomes
title_short Epidemiologic measures and policy formulation: lessons from potential outcomes
title_sort epidemiologic measures and policy formulation lessons from potential outcomes
url http://www.ete-online.com/content/2/1/5
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