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Summary

for people ages up to 99 years (full criteria)
healthy people welcome
study started
estimated completion:

Description

Summary

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.

Official Title

CT Dose Optimization and Standardization Endeavor (DOSE) Collaboratory

Details

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.

Keywords

Ionizing Radiation Exposure Quality Improvement CT scan CT exam ionizing radiation medical imaging cat scan radiation

Eligibility

You can join if…

Open to people ages up to 99 years

  • Diagnostic CT scans of the head, chest, and/or abdomen/pelvis performed within the study period

You CAN'T join if...

  • non-diagnostic scans that are not of the head, chest, and/or abdomen/pelvis

Details

Status
in progress, not accepting new patients
Start Date
Completion Date
(estimated)
Sponsor
University of California, San Francisco
Links
The website explores and focuses on studying the impact of medical imaging on health, minimizing the harms of medical imaging and and providing rigorous evidence to aid policymakers regarding use of medical imaging.
ID
NCT03000751
Lead Scientist
Rebecca Smith-Bindman
Study Type
Interventional
Last Updated
August 1, 2017