Your browser doesn't support javascript.
loading
A Systematic Review Protocol to Determine the Most Effective Strategies to Reduce Computed Tomography Usage in the Emergency Department.
Elzinga, Jason L; Dunne, Cody L; Vorobeichik, Allen; Keto-Lambert, Diana; Grigat, Daniel; Lang, Eddy; Dowling, Shawn.
Afiliação
  • Elzinga JL; Emergency Medicine, University of Calgary, Calgary, CAN.
  • Dunne CL; Emergency Medicine, University of Calgary, Calgary, CAN.
  • Vorobeichik A; Emergency Medicine, University of Calgary, Calgary, CAN.
  • Keto-Lambert D; Pediatrics, University of Alberta Evidence-Based Practice Center, Edmonton, CAN.
  • Grigat D; Emergency Medicine, Strategic Clinical Network, Alberta Health Services, Calgary, CAN.
  • Lang E; Emergency Medicine, University of Calgary, Calgary, CAN.
  • Dowling S; Emergency Medicine, Alberta Health Services, Calgary, CAN.
Cureus ; 12(8): e9509, 2020 Aug 01.
Article em En | MEDLINE | ID: mdl-32884867
ABSTRACT
This study describes the protocol for a systematic review and meta-analysis. The primary objective of the review is to identify experimental studies assessing the effectiveness of interventions that aim to reduce the proportion of computed tomography (CT) in emergency departments (EDs). Data permitting, our secondary objectives will be to assess the impact of reduction in CT utilization on the length of stay, admission to hospital, and uptake/satisfaction with the intervention. When available, balancing measures such as readmission to hospital or ED revisit rates will be included. Pre-defined subgroup analyses include patient populations (adult or pediatric), type of ED, and the nature of the intervention. Through this review, the research team aims to inform knowledge translation initiatives aimed at lowering CT usage in the ED by identifying the most effective interventions to safely improve CT resource stewardship.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Ano de publicação: 2020 Tipo de documento: Article