| Literature DB >> 30346524 |
James A Lopez Bernal1,2, Nick Andrews3, Gayatri Amirthalingam1.
Abstract
Randomized, controlled trials are not always possible to evaluate interventions targeting infectious disease. This is frequently the case when evaluating the population-level impact of vaccines or when evaluating interventions aiming to increase vaccine uptake. Under such circumstances, an array of quasi-experimental designs is increasingly being used to evaluate the effects of vaccines on a wide range of morbidity and health service outcomes. These studies can provide valuable information on the impact of vaccination programs and other related interventions in real-world settings. Nevertheless, not all quasi-experimental designs are equal, and it is important that authors and readers are aware of their relative strengths and potential sources of bias. In this paper, we discuss what a quasi-experimental design is, when they might be used for vaccine evaluation, their strengths and limitations, and examples of their application. © Crown copyright 2018.Entities:
Keywords: evaluation; immunizations; interrupted time series; quasi-experimental designs; regression discontinuity
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Year: 2019 PMID: 30346524 DOI: 10.1093/cid/ciy906
Source DB: PubMed Journal: Clin Infect Dis ISSN: 1058-4838 Impact factor: 9.079