@article{d808a03cb5e74776b73f92927cf34bf5,
title = "Power calculation in stepped-wedge cluster randomized trial with reduced intervention sustainability effect",
abstract = "The stepped-wedge design for pragmatic clinical trials has received increased attention in health service-related research seeking to evaluate the effect of interventions. Compared with the parallel design, the stepped-wedge design is preferred when there is prior knowledge supporting the effectiveness and harmlessness of the intervention, and/or when practical or financial constraints exist such that the intervention can only be implemented sequentially on a fraction of clusters. In some health service studies, the study period may consist of two parts: an active implementation followed by a sustainability phase, where the intervention effect is possibly reduced. There is a gap in current literature of the stepped-wedge design for cluster randomization trials for dealing with this specific scenario. We aim to provide an analytical formula for power analysis under this situation to aid the stepped-wedge design of an ongoing PREVENT trial.",
keywords = "Stepped-wedge design, cluster randomized trials, power analysis, pragmatic clinical trials",
author = "Jing Li and Ying Zhang and Myers, {Laura J.} and Bravata, {Dawn M.}",
note = "Funding Information: This work was supported by the U.S. Department of Veterans Affairs, Health Services Research & Development Serivice, Quality Enhancement Research Initiative (QUERI) [QUE 15-280]. This work was supported by the Department of Veterans Affairs (VA), Health Services Research & Development Service (HSRD) (QUE 15-280). The authors are grateful to the comments from the two anonymous reviewers that greatly help us improve the presentation of this manuscript from an early version. Funding Information: This work was supported by the Department of Veterans Affairs (VA), Health Services Research & Development Service (HSRD) (QUE 15-280). The authors are grateful to the comments from the two anonymous reviewers that greatly help us improve the presentation of this manuscript from an early version. Funding Information: This work was supported by the U.S. Department of Veterans Affairs, Health Services Research & Development Serivice, Quality Enhancement Research Initiative (QUERI) [QUE 15-280]. Publisher Copyright: {\textcopyright} 2019, {\textcopyright} 2019 Taylor & Francis Group, LLC.",
year = "2019",
month = jul,
day = "4",
doi = "10.1080/10543406.2019.1633658",
language = "English (US)",
volume = "29",
pages = "663--674",
journal = "Journal of Biopharmaceutical Statistics",
issn = "1054-3406",
publisher = "Taylor and Francis Ltd.",
number = "4",
}