Literature DB >> 29161073

Evaluating Public Health Interventions: 7. Let the Subject Matter Choose the Effect Measure: Ratio, Difference, or Something Else Entirely.

Donna Spiegelman1, Polyna Khudyakov1, Molin Wang1, Tyler J Vanderweele1.   

Abstract

We define measures of effect used in public health evaluations, which include the risk difference and the risk ratio, the population-attributable risk, years of life lost or gained, disability-adjusted life years, quality-adjusted life years, and the incremental cost-effectiveness ratio. Except for the risk ratio, all of these are absolute effect measures. For constructing externally generalizable absolute measures of effect when there is superior fit of the multiplicative model, we suggest using the multiplicative model to estimate relative risks, which will often be obtained in simple linear form with no interactions, and then converting these to the desired absolute measure. The externally generalizable absolute measure of effect can be obtained by suitably standardizing to the risk factor distribution of the population to which the results are to be generalized. External generalizability will often be compromised when absolute measures are computed from study populations with risk factor distributions different from those of the population to whom the results are to be generalized, even when these risk factors are not confounders of the intervention effect.

Mesh:

Year:  2017        PMID: 29161073      PMCID: PMC5719681          DOI: 10.2105/AJPH.2017.304105

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  15 in total

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Journal:  Am J Public Health       Date:  2016-09       Impact factor: 9.308

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  5 in total

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4.  How do age and major risk factors for mortality interact over the life-course? Implications for health disparities research and public health policy.

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5.  The Interaction Continuum.

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