Evidence Mapping to Justify Health Interventions

Perspectives in Biology and Medicine 64 (2):155-172 (2021)
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Abstract

In order to support health interventions, biomedical and population health researchers need to collect solid evidence. This article asks what type of evidence this should be and expands on previous work that focused on etiological explanations, or causal-mechanical explanations of why and how illness occurs. The article proposes adding predictive evidence to the explanatory evidence, in order to form a joint evidence set, or JES = [A,B,C,D], which consists of four different types of evidence: association [A], biology [B], confirmation [C], and difference-making [D]. The article discusses explanatory coherence as a backbone for this proposal, suggests criteria for each type of evidence, and offers a rubric for multi-evidence mapping.

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Olaf Dammann
Tufts University

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References found in this work

Interpreting causality in the health sciences.Federica Russo & Jon Williamson - 2007 - International Studies in the Philosophy of Science 21 (2):157 – 170.
Robustness, discordance, and relevance.Jacob Stegenga - 2009 - Philosophy of Science 76 (5):650-661.

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