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CT Dose Optimization and Standardization Endeavor (DOSE) Collaboratory
This is a pragmatic stepped-wedge cluster randomized controlled trial to explore variation in doses used for diagnostic CT by pooling radiation dose data across diverse healthcare delivery systems. To compare different strategies for lowering and optimizing dose and identify the barriers and facilitators to implementing successful dose optimization strategies and standardizing practice.
The investigators are using a stepped-wedge cluster randomized controlled trial, collecting radiation dose information on CT from across all collaborating health care facilities, and leading several different interventions to optimize dose across facilities. In addition to collecting the CT radiation dose data, and using these results to provide feedback to the collaborating health care facilities, they will be conducting surveys of several individuals at each site, including key informants, such as lead radiologists, technologists, and medical physicist, and radiology administrators. They will compare and identify facilitators and barriers (assessed through surveys of participating facilities) associated with successful and failed implementation of dose optimization.
Age
0 - 99 years
Sex
ALL
Healthy Volunteers
Yes
Start Date
July 1, 2016
Primary Completion Date
December 1, 2020
Completion Date
December 1, 2020
Last Updated
March 8, 2024
864,080
ACTUAL participants
Simple Audit Report
OTHER
Multi-Component Intervention
OTHER
In-Person Meeting
OTHER
Lead Sponsor
University of California, San Francisco
Collaborators
NCT04854278
NCT05133700
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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