Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015 Nov 15;182(10):840-5.
doi: 10.1093/aje/kwv214. Epub 2015 Oct 26.

Counterpoint: the treatment decision design

Counterpoint: the treatment decision design

M Alan Brookhart. Am J Epidemiol. .

Abstract

The comparative new-user design is a principled approach to learning about the relative risks and benefits of starting different treatments in patients who have no history of use of the treatments being studied. Vandenbroucke and Pearce (Am J Epidemiol. 2015;182(10):826-833) discuss some problems inherent in incident exposure designs and argue that epidemiology may be harmed by a rigid requirement that follow-up can only begin at first exposure. In the present counterpoint article, a range of problems in pharmacoepidemiology that do not necessarily require that observation begin at first exposure are discussed. For example, among patients who are past or current users of a medication, we might want to know whether treatment should be augmented, switched, restarted, or discontinued. To answer these questions, a generalization of the new-user design, the treatment decision design, which identifies cohorts anchored at times when treatment decisions are being made, such as the evaluation of laboratory parameters, is discussed. The design aims to provide estimates that are directly relevant to physicians and patients, helping them to better understand the risks and benefits of the different treatment choices that they are considering.

Keywords: pharmacoepidemiology; study design.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Design schematic of a nonexperimental iron dose-ranging study.
Figure 2.
Figure 2.
Design schematic of a nonexperimental study of oral antidiabetic treatment intensification. HbA1c, hemoglobin A1c.
Figure 3.
Figure 3.
Design schematic of a nonexperimental study of perioperative statin use.
Figure 4.
Figure 4.
Design schematic of a nonexperimental analogue of a randomized withdrawal study of diuretics among patients starting hemodialysis.

References

    1. Ray WA. Evaluating medication effects outside of clinical trials: new-user designs. Am J Epidemiol. 2003;1589:915–920. - PubMed
    1. Guess HA. Behavior of the exposure odds ratio in a case-control study when the hazard function is not constant over time. J Clin Epidemiol. 1989;4212:1179–1184. - PubMed
    1. Johnson ES, Bartman BA, Briesacher BA et al. . The incident user design in comparative effectiveness research. Pharmacoepidemiol Drug Saf. 2013;221:1–6. - PubMed
    1. Robins JM, Hernán MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;115:550–560. - PubMed
    1. Brookhart MA, Stürmer T, Glynn RJ et al. . Confounding control in healthcare database research: challenges and potential approaches. Med Care. 2010;48(6 suppl):S114–S120. - PMC - PubMed

Publication types

MeSH terms