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Pharmacoepidemiology and Drug Safety
Article . 2018 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
UNC Dataverse
Article . 2018
Data sources: Datacite
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Primary non‐adherence and the new‐user design

Authors: Xiaojuan Li; Stephen R. Cole; Daniel Westreich; M. Alan Brookhart;

Primary non‐adherence and the new‐user design

Abstract

The new‐user design has been widely used in pharmacoepidemiology. By following patients from the initiation of a treatment, the new‐user design has several advantages over designs that begin follow‐up on prevalent users. The new‐user design allows study of the full time course of outcome risk after treatment initiation, with representation of early and late events. It also ensures appropriate temporal ordering of baseline confounders, exposures, and outcomes, avoiding adjustment for intermediate variables that may have been affected by treatment. Coupled with an active‐comparator design, new‐user approaches can mitigate the potential for immortal time‐bias and confounding by indication. The active comparator new‐user design helps to articulate clearly a causal question about the benefits and harms of starting a particular intervention in a more real‐world setting. These theoretical and conceptual advantages have led to the recommendation that such designs should be a default approach for comparative effectiveness research studies.

Related Organizations
Keywords

Research Design, Pharmacoepidemiology, Clinical Decision-Making, Electronic Health Records, Humans, Drug Monitoring, Drug Prescriptions

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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).
    19
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
19
Top 10%
Top 10%
Top 10%
bronze