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CT Pulmonary Angiogram Clinical Pretest Probability Tool: Impact on Emergency Department Utilization.
Rosovsky, Rachel P; Isabelle, Mark; Abbasi, Nooshin; Vetrano, Nicole; Saini, Sanjay; Dutta, Sayon; Lucier, David; Sharma, Amita; Hunsaker, Andetta; Hochberg, Stanley; Raja, Ali S; Khorasani, Ramin; Lacson, Ronilda.
Afiliação
  • Rosovsky RP; Division of Hematology/Oncology, Department of Medicine, Massachusetts Hospital, Boston, MA; Harvard Medical School, Boston, MA. Electronic address: rprosovsky@mgh.harvard.edu.
  • Isabelle M; Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA.
  • Abbasi N; Harvard Medical School, Boston, MA; Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA.
  • Vetrano N; Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA.
  • Saini S; Harvard Medical School, Boston, MA; Department of Radiology, Massachusetts General Hospital, Boston, MA.
  • Dutta S; Harvard Medical School, Boston, MA; Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA; Clinical Informatics, Mass General Brigham Digital, Boston, MA.
  • Lucier D; Harvard Medical School, Boston, MA; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA.
  • Sharma A; Harvard Medical School, Boston, MA; Department of Radiology, Massachusetts General Hospital, Boston, MA.
  • Hunsaker A; Harvard Medical School, Boston, MA; Department of Radiology, Brigham and Women's Hospital, Boston, MA.
  • Hochberg S; Population Health Management, Mass General Brigham, Boston, MA.
  • Raja AS; Harvard Medical School, Boston, MA; Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA; Department of Radiology, Brigham and Women's Hospital, Boston, MA.
  • Khorasani R; Harvard Medical School, Boston, MA; Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA.
  • Lacson R; Harvard Medical School, Boston, MA; Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA.
J Am Coll Radiol ; 2024 Aug 10.
Article em En | MEDLINE | ID: mdl-39134106
ABSTRACT

OBJECTIVE:

Currently, computed tomographic pulmonary angiogram (CTPA) for evaluating acute pulmonary embolism (PE) in Emergency Departments (EDs) is overused and with low yields. The goal of this study is to assess the impact of an evidence-based clinical decision support (CDS) tool, aimed at optimizing appropriate use of CTPA for evaluating PE.

METHODS:

The study was performed at EDs in a large healthcare system and included 9 academic and community hospitals. The primary outcome was the percent difference in utilization (number of CTPA performed/number of ED visits) and secondary outcome was yield (percentage of CTPA positive for acute PE), comparing 12 months before (6/1/2021-5/31/2022) vs. 12 months after (6/1/2022-5/31/2023) a system-wide implementation of the CDS. Univariate and multivariable analyses using logistic regression were performed to assess factors associated with diagnosis of acute PE. Statistical process control (SPC) charts were used to assess monthly trends in utilization and yield.

RESULTS:

Among 931,677 visits to Emergency Departments, 28,101 CTPAs were performed on 24,675 patients. 14,825 CTPAs were performed among 455,038 visits (3.26%) pre-intervention; 13,276 among 476,639 visits (2.79%) post-intervention, a 14.51% relative decrease in CTPA utilization (chi-square, p<0.001). CTPA yield remained unchanged (1371/14825=9.25% pre- vs. 1184/13276=8.92% post-intervention; chi-square, p=0.34). Patients with COVID diagnosis prior to CTPA had higher probability of acute PE. SPC charts demonstrated seasonal variation in utilization (Friedman test, p=0.047).

DISCUSSION:

Implementing a CDS based on validated decision rules was associated with a significant reduction in CTPA utilization. The change was immediate and sustained for 12 months post-intervention.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article