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DTSTART;TZID=America/New_York:20210716T130000
DTEND;TZID=America/New_York:20210716T140000
DTSTAMP:20260515T084604
CREATED:20210504T131537Z
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UID:5430-1626440400-1626444000@impactcollaboratory.org
SUMMARY:Inclusion of Diverse Participants in Pragmatic Clinical Trials: Maximizing Diversity in PCTs – What Can We Learn From Implementation Trials?
DESCRIPTION:The NIH Health Care Systems Research Collaboratory is launching a special workshop series on its popular Grand Rounds program to explore the inclusion of diverse participants in pragmatic clinical trials. This series will include topics on increasing engagement of diverse participants and building trust\, including diverse sites\, learning from implementation science to maximize diversity\, and developing a pipeline of trainees from underrepresented groups to be leaders in pragmatic clinical research. \nGuest Moderator:\nDavid Chambers\, DPhil\nDeputy Director for Implementation Science\nOffice of the Director in the Division of Cancer Control and Population Sciences (DCCPS)\nNational Cancer Institute (NCI)\nNational Institutes of Health (NIH) \nPanel:\nAmanda Midboe\, PhD\nCenter for Innovation to Implementation\nU.S. Department of Veterans Affairs\nChair of the Implementation Science Work Group for the NIH-DOD-VA Pain Management Collaboratory \nAnne Trontell\, MD\, MPS\nAssociate Director\nClinical Effectiveness and Decision Science Program\nPatient-Centered Outcomes Research Institute (PCORI) \nTopic: Inclusion of Diverse Participants in Pragmatic Clinical Trials: Maximizing Diversity in PCTs – What Can We Learn From Implementation Trials?\nDate: Friday\, July 16\, 2021\, 1:00-2:00 p.m. ET \nMeeting Info: To check whether you have the appropriate players installed for UCF (Universal Communications Format) rich media files\, go to https://dukemed.webex.com/dukemed/systemdiagnosis.php. \nTo join the online meeting:\nGo to https://dukemed.webex.com/dukemed/j.php?MTID=m228b52a4666c1e24046e11c01ae7bd0d
URL:https://impactcollaboratory.org/event/inclusion-of-diverse-participants-in-pragmatic-clinical-trials-maximizing-diversity-in-pcts-what-can-we-learn-from-implementation-trials/
CATEGORIES:interest
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DTSTART;TZID=America/New_York:20210720T091500
DTEND;TZID=America/New_York:20210720T093000
DTSTAMP:20260515T084604
CREATED:20210719T163444Z
LAST-MODIFIED:20240613T141830Z
UID:6120-1626772500-1626773400@impactcollaboratory.org
SUMMARY:ISCB 2021 (Registration Closed): 42ND ANNUAL CONFERENCE OF THE INTERNATIONAL SOCIETY FOR CLINICAL BIOSTATISTICS - "Sample size calculation for stepped wedge cluster randomized trials with multiple levels of clustering"
DESCRIPTION:15:15-16:45 (9:15 am ET) Session OC4B: Cluster randomized trials\n\nCHAIR: Andrew Copas\n\n\n\n\n9:15 ET\nKendra Davis-Plourde\, Monica Taljaard and Fan Li \nSample size calculation for stepped wedge cluster randomized trials with multiple levels of clustering\n\nABSTRACT. The stepped wedge cluster randomized trial is an attractive design for evaluating health services delivery or policy interventions. In this design\, clusters start in the control condition and gradually cross over to the treatment based on a schedule dictated by random assignment. Outcomes may be assessed on the same individuals over time (i.e.\, a cohort design) or different individuals (i.e.\, a cross-sectional design). A key consideration in this design is that sample size calculation and analysis must account for within-period as well as between-period intracluster correlations; cohort designs have additional correlations due to repeated measures on the same individuals. While numerous methods have been developed to account for within- and between-period intracluster correlations with a single level of clustering during each time period\, few methods are available to accommodate multiple levels of clustering. Our objectives were to develop computationally-efficient sample size procedures that recognize within-period and between-period intracluster correlations in stepped wedge trials with more than two levels of clustering. Focusing on three levels of clustering and assuming equal cluster-period sizes\, we consider three variants\, depending on whether each level is treated as a cross-sectional or closed-cohort design. We introduce an extended block exchangeable matrix to characterize the correlation structures both within- and between-clusters in each cluster-period and develop convenient sample size expressions that depend on this correlation structure. With a continuous outcome\, we show the sample size expression depends on the correlation structure only through two eigenvalues of the extended block exchangeable matrix. For binary outcomes under a mixed effects framework\, we develop a sample size expression based on a first-order Taylor approximation. We conduct simulation studies to examine the finite-sample properties of the proposed sample size algorithms and demonstrate the application of the proposed methods using the Washington State Expedited Partner Therapy trial: a multilevel stepped wedge trial that randomized local health jurisdictions (level 4) consisting of clinics (level 3) and observed patients (level 2) with respect to their Chlamydia infection status (level 1). \n\nMore event details: http://www.iscb2021.info/en/pages/iscb-2021-home
URL:https://impactcollaboratory.org/event/iscb-2021-42nd-annual-conference-of-the-international-society-for-clinical-biostatistics-sample-size-calculation-for-stepped-wedge-cluster-randomized-trials-with-multiple-levels-of-clustering/
CATEGORIES:interest
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210730T130000
DTEND;TZID=America/New_York:20210730T140000
DTSTAMP:20260515T084604
CREATED:20210504T132700Z
LAST-MODIFIED:20210504T132700Z
UID:5432-1627650000-1627653600@impactcollaboratory.org
SUMMARY:Inclusion of Diverse Participants in Pragmatic Clinical Trials: Diversity in the PCT Ecosystem – How Do We Develop a Pipeline of Diverse Investigators and Leaders in PCTs?
DESCRIPTION:The NIH Health Care Systems Research Collaboratory is launching a special workshop series on its popular Grand Rounds program to explore the inclusion of diverse participants in pragmatic clinical trials. This series will include topics on increasing engagement of diverse participants and building trust\, including diverse sites\, learning from implementation science to maximize diversity\, and developing a pipeline of trainees from underrepresented groups to be leaders in pragmatic clinical research. \nGuest Moderator:\nLesley Curtis\, PhD\nProfessor in Population Health Sciences\nDepartment of Population Health Sciences\nDuke University School of Medicine \nPanel:\nMarie A. Bernard\, MD\nActing NIH Chief Officer for Scientific Workforce Diversity\nDeputy Director\, National Institute on Aging\nNational Institutes of Health \nGeorge A. Mensah\, M.D.\, FACC\nDirector\, Center for Translation Research and Implementation Science\nNational Heart\, Lung\, and Blood Institute (NHLBI)\nOffice of the Director\, National Institutes of Health (NIH) \nNatalia Morone\, MD\, MS\nAssociate Professor\nBoston University School of Medicine\nDepartment of Medicine\nGeneral Internal Medicine \nTopic: Inclusion of Diverse Participants in Pragmatic Clinical Trials: Diversity in the PCT Ecosystem – How Do We Develop a Pipeline of Diverse Investigators and Leaders in PCTs?\nDate: Friday\, July 30\, 2021\, 1:00-2:00 p.m. ET \nMeeting Info: To check whether you have the appropriate players installed for UCF (Universal Communications Format) rich media files\, go to https://dukemed.webex.com/dukemed/systemdiagnosis.php. \nTo join the online meeting:\nGo to https://dukemed.webex.com/dukemed/j.php?MTID=m228b52a4666c1e24046e11c01ae7bd0d
URL:https://impactcollaboratory.org/event/inclusion-of-diverse-participants-in-pragmatic-clinical-trials-diversity-in-the-pct-ecosystem-how-do-we-develop-a-pipeline-of-diverse-investigators-and-leaders-in-pcts/
CATEGORIES:interest
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