Literature DB >> 27473552

Computed Tomography Use for Adults With Head Injury: Describing Likely Avoidable Emergency Department Imaging Based on the Canadian CT Head Rule.

Adam L Sharp1,2, Ganesh Nagaraj3, Ellen J Rippberger1, Ernest Shen1, Clifford J Swap3, Matthew A Silver3, Taylor McCormick4, David R Vinson5,6, Jerome R Hoffman7.   

Abstract

BACKGROUND: Millions of head computed tomography (CT) scans are ordered annually, but the extent of avoidable imaging is poorly defined.
OBJECTIVES: The objective was to determine the prevalence of likely avoidable CT imaging among adults evaluated for head injury in 14 community emergency departments (EDs) in Southern California.
METHODS: We conducted an electronic health record (EHR) database and chart review of adult ED trauma encounters receiving a head CT from 2008 to 2013. The primary outcome was discordance with the Canadian CT Head Rule (CCHR) high-risk criteria; the secondary outcome was use of a neurosurgical intervention in the discordant cohort. We queried systemwide EHRs to identify CCHR discordance using criteria identifiable in discrete data fields. Explicit chart review of a subset of discordant CTs provided estimates of misclassification bias and assessed the low-risk cases who actually received an intervention.
RESULTS: Among 27,240 adult trauma head CTs, EHR data classified 11,432 (42.0%) discordant with CCHR recommendation. Subsequent chart review showed that the designation of discordance based on the EHR was inaccurate in 12.2% (95% confidence interval [CI] = 5.6% to 18.8%). Inter-rater reliability for attributing CCHR concordance was 95% (κ = 0.86). Thus, we estimate that 36.8% of trauma head CTs were truly likely avoidable (95% CI = 34.1% to 39.6%). Among the likely avoidable CT group identified by EHR, only 0.1% (n = 13) received a neurosurgical intervention. Chart review showed none of these were actually "missed" by the CCHR, as all 13 were misclassified.
CONCLUSION: About one-third of head CTs currently performed on adults with head injury may be avoidable by applying the CCHR. Avoidance of CT in such patients is unlikely to miss any important injuries.
© 2016 by the Society for Academic Emergency Medicine.

Entities:  

Mesh:

Year:  2017        PMID: 27473552     DOI: 10.1111/acem.13061

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  12 in total

1.  Implementation of the Canadian CT Head Rule and Its Association With Use of Computed Tomography Among Patients With Head Injury.

Authors:  Adam L Sharp; Brian Z Huang; Tania Tang; Ernest Shen; Edward R Melnick; Arjun K Venkatesh; Michael H Kanter; Michael K Gould
Journal:  Ann Emerg Med       Date:  2017-07-21       Impact factor: 5.721

2.  Effectiveness of Clinical Decision Support Systems on the Appropriate Use of Imaging for Central Nervous System Injuries: A Systematic Review.

Authors:  Sahar Zare; Zohre Mobarak; Zahra Meidani; Ehsan Nabovati; Zahra Nazemi
Journal:  Appl Clin Inform       Date:  2022-01-12       Impact factor: 2.342

3.  Ordering of computed tomography scans for head and cervical spine: a qualitative study exploring influences on doctors' decision-making.

Authors:  H Laetitia Hattingh; Zoe Alexandra Michaleff; Peter Fawzy; Leanne Du; Karlene Willcocks; K Meng Tan; Gerben Keijzers
Journal:  BMC Health Serv Res       Date:  2022-06-18       Impact factor: 2.908

4.  Automated Pulmonary Embolism Risk Classification and Guideline Adherence for Computed Tomography Pulmonary Angiography Ordering.

Authors:  Christian A Koziatek; Emma Simon; Leora I Horwitz; Danil V Makarov; Silas W Smith; Simon Jones; Soterios Gyftopoulos; Jordan L Swartz
Journal:  Acad Emerg Med       Date:  2018-05-25       Impact factor: 3.451

5.  Cost-Effectiveness of Biomarker Screening for Traumatic Brain Injury.

Authors:  YouRong Sophie Su; James M Schuster; Douglas H Smith; Sherman C Stein
Journal:  J Neurotrauma       Date:  2019-03-26       Impact factor: 4.869

6.  Patient-Centered Decision Support: Formative Usability Evaluation of Integrated Clinical Decision Support With a Patient Decision Aid for Minor Head Injury in the Emergency Department.

Authors:  Edward R Melnick; Erik P Hess; George Guo; Maggie Breslin; Kevin Lopez; Anthony J Pavlo; Fuad Abujarad; Seth M Powsner; Lori A Post
Journal:  J Med Internet Res       Date:  2017-05-19       Impact factor: 5.428

7.  Effect of clinical decision rules, patient cost and malpractice information on clinician brain CT image ordering: a randomized controlled trial.

Authors:  Ronald W Gimbel; Ronald G Pirrallo; Steven C Lowe; David W Wright; Lu Zhang; Min-Jae Woo; Paul Fontelo; Fang Liu; Zachary Connor
Journal:  BMC Med Inform Decis Mak       Date:  2018-03-12       Impact factor: 2.796

8.  Tablet-Based Patient-Centered Decision Support for Minor Head Injury in the Emergency Department: Pilot Study.

Authors:  Navdeep Singh; Erik Hess; George Guo; Adam Sharp; Brian Huang; Maggie Breslin; Edward Melnick
Journal:  JMIR Mhealth Uhealth       Date:  2017-09-28       Impact factor: 4.773

9.  Relationship between brain computed tomography findings and bispectral index score in patients presenting with head trauma.

Authors:  Ozlem Kusken; Tuba Cimilli Ozturk; Aysel Hunuk; Ebru Unal Akoglu; Rohat Ak; Cansu Arslan Turan; Ozge Ecmel Onur
Journal:  North Clin Istanb       Date:  2019-08-25

10.  Accuracy of a rapid glial fibrillary acidic protein/ubiquitin carboxyl-terminal hydrolase L1 test for the prediction of intracranial injuries on head computed tomography after mild traumatic brain injury.

Authors:  Jeffrey J Bazarian; Robert D Welch; Krista Caudle; Craig A Jeffrey; James Y Chen; Raj Chandran; Tamara McCaw; Saul A Datwyler; Hongwei Zhang; Beth McQuiston
Journal:  Acad Emerg Med       Date:  2021-09-07       Impact factor: 5.221

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