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Root Cause Analysis of Delayed Emergency Department Computed Tomography Scans.
Dhanik, Arjun; Stenson, Bryan A; Levenson, Robin B; Antkowiak, Peter S; Sanchez, Leon D; Chiu, David T.
Afiliação
  • Dhanik A; Beth Israel Deaconess Medical Center, Department of Emergency Medicine, Boston, Massachusetts.
  • Stenson BA; Harvard Medical School, Harvard University, Boston, Massachusetts.
  • Levenson RB; Co-first authors who equally contributed to this work.
  • Antkowiak PS; Beth Israel Deaconess Medical Center, Department of Emergency Medicine, Boston, Massachusetts.
  • Sanchez LD; Harvard Medical School, Harvard University, Boston, Massachusetts.
  • Chiu DT; Co-first authors who equally contributed to this work.
West J Emerg Med ; 25(2): 226-229, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38596923
ABSTRACT

Introduction:

A solution for emergency department (ED) congestion remains elusive. As reliance on imaging grows, computed tomography (CT) turnaround time has been identified as a major bottleneck. In this study we sought to identify factors associated with significantly delayed CT in the ED.

Methods:

We performed a retrospective analysis of all CT imaging completed at an urban, tertiary care ED from May 1-July 31, 2021. During that period, 5,685 CTs were performed on 4,344 patients, with a median time from CT order to completion of 108 minutes (Quartile 1 [Q1] 57 minutes, Quartile 3 [Q3] 182 minutes, interquartile range [IQR] 125 minutes). Outliers were defined as studies that took longer than 369 minutes to complete (Q3 + 1.5 × IQR). We systematically reviewed outlier charts to determine factors associated with delay and identified five factors behaviorally non-compliant or medically unstable patients; intravenous (IV) line issues; contrast allergies; glomerular filtration rate (GFR) concerns; and delays related to imaging protocol (eg, need for IV contrast, request for oral and/or rectal contrast). We calculated confidence intervals (CI) using the modified Wald method. Inter-rater reliability was assessed with a kappa analysis.

Results:

We identified a total of 182 outliers (4.2% of total patients). Fifteen (8.2%) cases were excluded for CT time-stamp inconsistencies. Of the 167 outliers analyzed, 38 delays (22.8%, 95% confidence interval [CI] 17.0-29.7) were due to behaviorally non-compliant or medically unstable patients; 30 (18.0%, 95% CI 12.8-24.5) were due to IV issues; 24 (14.4%, 95% CI 9.8-20.6) were due to contrast allergies; 21 (12.6%, 95% CI 8.3-18.5) were due to GFR concerns; and 20 (12.0%, 95% CI 7.8-17.9) were related to imaging study protocols. The cause of the delay was unknown in 55 cases (32.9%, 95% CI 26.3-40.4).

Conclusion:

Our review identified both modifiable and non-modifiable factors associated with significantly delayed CT in the ED. Patient factors such as behavior, allergies, and medical acuity cannot be controlled. However, institutional policies regarding difficult IV access, contrast administration in low GFR settings, and study protocols may be modified, capturing up to 42.6% of outliers.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Diagnóstico Tardio / Análise de Causa Fundamental Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Diagnóstico Tardio / Análise de Causa Fundamental Idioma: En Ano de publicação: 2024 Tipo de documento: Article