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Journal of Evaluation in Clinical Practice
Article . 2023 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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The test‐negative design: Opportunities, limitations and biases

Opportunities, limitations and biases
Authors: Ronald Meester; Jan Bonte;

The test‐negative design: Opportunities, limitations and biases

Abstract

AbstractThe purpose of this paper is to investigate how to interpret the outcome of a test‐negative design study. We does so by systematically reviewing the properties of the design in relation to its potential applications. We first argue that the application of the design does not depend on certain assumptions (as is sometimes articulated in the literature), which may open new opportunities for using the design. Then, we relate a number of limitations of the design. The design cannot be used for studying the mortality effects of vaccines and is problematic for studies into the effect on hospitalization. The vaccine's effectiveness on the transmission of viruses is also potentially problematic, depending very much on the characteristics of the tests. The implication of our findings is that the test‐negative designs can, at best, be seen as an indication of effectiveness in highly idealized situations that are often far away from reality.

Country
Netherlands
Related Organizations
Keywords

evaluation, Bias, Research Design, public health, complexity of health, health policy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
hybrid