The Use of Quasi-experimental Designs for Vaccine Evaluation

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...

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Veröffentlicht in:Clinical infectious diseases Jg. 68; H. 10; S. 1769
Hauptverfasser: Lopez Bernal, James A, Andrews, Nick, Amirthalingam, Gayatri
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States 02.05.2019
Schlagworte:
Biomedical Research
Humans
Immunization Programs - standards
Immunization Programs - statistics & numerical data
Interrupted Time Series Analysis
Non-Randomized Controlled Trials as Topic - methods
Research Design
Vaccination
Vaccines - standards
evaluation
interrupted time series
regression discontinuity
quasi-experimental designs
immunizations
ISSN:1537-6591, 1537-6591
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Zusammenfassung: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.
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ISSN:1537-6591
1537-6591
DOI:10.1093/cid/ciy906