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Acad Emerg Med ; 24(1): 22-30, 2017 01.
Article in English | MEDLINE | ID: mdl-27473552

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.


Subject(s)
Craniocerebral Trauma/diagnostic imaging , Emergency Service, Hospital/statistics & numerical data , Tomography, X-Ray Computed/statistics & numerical data , Adult , Aged , Aged, 80 and over , California , Canada , Electronic Health Records , Female , Hospitals, Community , Humans , Male , Middle Aged , Reproducibility of Results , Risk Assessment
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