Literature DB >> 32227142

Comparison of the Effectiveness of Single-Component and Multicomponent Interventions for Reducing Radiation Doses in Patients Undergoing Computed Tomography: A Randomized Clinical Trial.

Rebecca Smith-Bindman1,2,3,4, Philip Chu1, Yifei Wang1, Robert Chung5, Naomi Lopez-Solano1, Andrew J Einstein6,7,8, Leif Solberg9, Luisa F Cervantes10, Thomas Yellen-Nelson11, William Boswell12, Bradley N Delman13, Phuong-Anh Duong14, Allen R Goode15, Nima Kasraie16, Ryan K Lee17, Rebecca Neill14, Anokh Pahwa18, Pavlina Pike19, Jodi Roehm20, Sebastian Schindera21, Jay Starkey22, Saravanabavaan Suntharalingam23, Cécile R L P N Jeukens24, Diana L Miglioretti25,26.   

Abstract

Importance: Computed tomography (CT) radiation doses vary across institutions and are often higher than needed. Objective: To assess the effectiveness of 2 interventions to reduce radiation doses in patients undergoing CT. Design, Setting, and Participants: This randomized clinical trial included 864 080 adults older than 18 years who underwent CT of the abdomen, chest, combined abdomen and chest, or head at 100 facilities in 6 countries from November 1, 2015, to September 21, 2017. Data analysis was performed from October 4, 2017, to December 14, 2018. Interventions: Imaging facilities received audit feedback alone comparing radiation-dose metrics with those of other facilities followed by the multicomponent intervention, including audit feedback with targeted suggestions, a 7-week quality improvement collaborative, and best-practice sharing. Facilities were randomly allocated to the time crossing from usual care to the intervention. Main Outcomes and Measures: Primary outcomes were the proportion of high-dose CT scans and mean effective dose at the facility level. Secondary outcomes were organ doses. Outcomes after interventions were compared with those before interventions using hierarchical generalized linear models adjusting for temporal trends and patient characteristics.
Results: Across 100 facilities, 864 080 adults underwent 1 156 657 CT scans. The multicomponent intervention significantly reduced proportions of high-dose CT scans, measured using effective dose. Absolute changes in proportions of high-dose scans were 1.1% to 7.9%, with percentage reductions in the proportion of high-dose scans of 4% to 30% (abdomen: odds ratio [OR], 0.82; 95% CI, 0.77-0.88; P < .001; chest: OR, 0.92; 95% CI, 0.86-0.99; P = .03; combined abdomen and chest: OR, 0.49; 95% CI, 0.41-0.59; P < .001; and head: OR, 0.71; 95% CI, 0.66-0.76; P < .001). Reductions in the proportions of high-dose scans were greater when measured using organ doses. The absolute reduction in the proportion of high-dose scans was 6.0% to 17.2%, reflecting 23% to 58% reductions in the proportions of high-dose scans across anatomical areas. Mean effective doses were significantly reduced after multicomponent intervention for abdomen (6% reduction, P < .001), chest (4%, P < .001), and chest and abdomen (14%, P < .001) CT scans. Larger reductions in mean organ doses were 8% to 43% across anatomical areas. Audit feedback alone reduced the proportions of high-dose scans and mean dose, but reductions in observed dose were smaller. Radiologist's satisfaction with CT image quality was unchanged and high during all periods. Conclusions and Relevance: For imaging facilities, detailed feedback on CT radiation dose combined with actionable suggestions and quality improvement education significantly reduced doses, particularly organ doses. Effects of audit feedback alone were modest. Trial Registration: ClinicalTrials.gov Identifier: NCT03000751.

Entities:  

Year:  2020        PMID: 32227142      PMCID: PMC7105953          DOI: 10.1001/jamainternmed.2020.0064

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN: 2168-6106            Impact factor:   21.873


  4 in total

1.  An Image Quality-informed Framework for CT Characterization.

Authors:  Rebecca Smith-Bindman; Sophronia Yu; Yifei Wang; Marc D Kohli; Philip Chu; Robert Chung; Jason Luong; Denise Bos; Carly Stewart; Biraj Bista; Alejandro Alejandrez Cisneros; Bradley Delman; Andrew J Einstein; Michael Flynn; Patrick Romano; J Anthony Seibert; Antonio C Westphalen; Andrew Bindman
Journal:  Radiology       Date:  2021-11-09       Impact factor: 11.105

2.  Strategies for Dose Optimization: Views From Health Care Systems.

Authors:  Robin R Whitebird; Leif I Solberg; Philip W Chu; Rebecca Smith-Bindman
Journal:  J Am Coll Radiol       Date:  2022-02-25       Impact factor: 6.240

3.  Probability of receiving a high cumulative radiation dose and primary clinical indication of CT examinations: a 5-year observational cohort study.

Authors:  Cécile R L P N Jeukens; Hub Boere; Bart A J M Wagemans; Patty J Nelemans; Estelle C Nijssen; Rebecca Smith-Bindman; Joachim E Wildberger; Anna M Sailer
Journal:  BMJ Open       Date:  2021-01-17       Impact factor: 2.692

4.  Reference phantom selection in pediatric computed tomography using data from a large, multicenter registry.

Authors:  Philip W Chu; Sophronia Yu; Yifei Wang; J Anthony Seibert; Luisa F Cervantes; Nima Kasraie; Cameron A Chu; Rebecca Smith-Bindman
Journal:  Pediatr Radiol       Date:  2021-12-06
  4 in total

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