Grace periods in comparative effectiveness studies of sustained treatments

Author:

Wanis Kerollos Nashat12ORCID,Sarvet Aaron L3,Wen Lan4ORCID,Block Jason P5,Rifas-Shiman Sheryl L5,Robins James M16,Young Jessica G15

Affiliation:

1. Department of Epidemiology, Harvard T. H. Chan School of Public Health , 677 Huntington Ave, Kresge 9th , Boston, MA, USA

2. Department of Breast Surgical Oncology, MD Anderson Cancer Center , Houston, TX , USA

3. Department of Mathematics, École Polytechnique Fédérale de Lausanne , Lausanne , Switzerland

4. Department of Statistics and Actuarial Science, University of Waterloo , Waterloo, Ontario , Canada

5. Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute , Boston, MA , USA

6. Department of Biostatistics, Harvard T.H. Chan School of Public Health , Boston, MA , USA

Abstract

Abstract Researchers are often interested in estimating the effect of sustained use of a treatment on a health outcome. However, adherence to strict treatment protocols can be challenging for individuals in practice and, when non-adherence is expected, estimates of the effect of sustained use may not be useful for decision making. As an alternative, more relaxed treatment protocols which allow for periods of time off treatment (i.e. grace periods) have been considered in pragmatic randomized trials and observational studies. In this article, we consider the interpretation, identification, and estimation of treatment strategies which include grace periods. We contrast natural grace period strategies which allow individuals the flexibility to take treatment as they would naturally do, with stochastic grace period strategies in which the investigator specifies the distribution of treatment utilization. We estimate the effect of initiation of a thiazide diuretic or an angiotensin-converting enzyme inhibitor in hypertensive individuals under various strategies which include grace periods.

Funder

NIH-NIDDK

Publisher

Oxford University Press (OUP)

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Reference38 articles.

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