Relative risk reduction is useful metric to standardize effect size for public heath interventions for translational research.

ABSTRACT:

Objectives

Heterogeneity of effect measures in intervention studies undermines the use of evidence to inform policy. Our objective was to develop a comprehensive algorithm to convert all types of effect measures to one standard metric, relative risk reduction (RRR).

Study design and setting

This work was conducted to facilitate synthesis of published intervention effects for our epidemic modeling of the health impact of human immunodeficiency virus [HIV testing and counseling (HTC)]. We designed and implemented an algorithm to transform varied effect measures to RRR, representing the proportionate reduction in undesirable outcomes.

Results

Our extraction of 55 HTC studies identified 473 effect measures representing unique combinations of intervention-outcome-populatio

SUBMITTER: Mirzazadeh A 

PROVIDER: S-EPMC5935495 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature