Literature DB >> 31569153

Number (of Whom?) Needed to Treat (with What?): Exposures, Population Interventions, and the Number Needed to Treat.

Daniel Westreich1, Stephen J Mooney1,2.   

Abstract

The number needed to treat (NNT) is a widely used measure of the potential impact of a treatment or intervention, but it is often calculated and discussed in ways which oversimplify critical issues. Specifically, the NNT itself depends on the population under study and the specific form that "treatment" would take in that population. We discuss how understanding the difference between the effect of removing a harmful exposure and the effect of deploying a specific intervention to remove that harmful exposure can affect the calculation and interpretation of an NNT. Our discussion extends a previously described framework distinguishing exposure effects from population intervention effects.

Year:  2019        PMID: 31569153     DOI: 10.1097/EDE.0000000000001061

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  3 in total

1.  G-Computation and Agent-Based Modeling for Social Epidemiology: Can Population Interventions Prevent Posttraumatic Stress Disorder?

Authors:  Stephen J Mooney; Aaron B Shev; Katherine M Keyes; Melissa Tracy; Magdalena Cerdá
Journal:  Am J Epidemiol       Date:  2022-01-01       Impact factor: 5.363

2.  The Effects of Hepatitis C Treatment Eligibility Criteria on All-cause Mortality Among People With Human Immunodeficiency Virus.

Authors:  Alexander Breskin; Daniel Westreich; Christopher B Hurt; Stephen R Cole; Michael G Hudgens; Eric C Seaberg; Chloe L Thio; Phyllis C Tien; Adaora A Adimora
Journal:  Clin Infect Dis       Date:  2019-10-15       Impact factor: 20.999

3.  Population intervention effects in observational studies to emulate target trial results: reconciling the effects of improved sanitation on child growth.

Authors:  Elizabeth T Rogawski McQuade; Jade Benjamin-Chung; Daniel Westreich; Benjamin F Arnold
Journal:  Int J Epidemiol       Date:  2022-02-18       Impact factor: 9.685

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.