Protocol for the Effectiveness of an Anesthesiology Control Tower System in Improving Perioperative Quality Metrics and Clinical Outcomes: the TECTONICS randomized, pragmatic trial.

Journal: F1000Research
Published Date:

Abstract

Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. With advances in technology, there is an opportunity to research the utility of a telemedicine-based control center for anesthesia clinicians that assess risk, diagnoses negative patient trajectories, and implements evidence-based practices. The primary objective of this trial is to determine whether an anesthesiology control tower (ACT) prevents clinically relevant adverse postoperative outcomes including 30-day mortality, delirium, respiratory failure, and acute kidney injury. Secondary objectives are to determine whether the ACT improves perioperative quality of care metrics including management of temperature, mean arterial pressure, mean airway pressure with mechanical ventilation, blood glucose, anesthetic concentration, antibiotic redosing, and efficient fresh gas flow. We are conducting a single center, randomized, controlled, phase 3 pragmatic clinical trial. A total of 58 operating rooms are randomized daily to receive support from the ACT or not. All adults (eighteen years and older) undergoing surgical procedures in these operating rooms are included and followed until 30 days after their surgery. Clinicians in operating rooms randomized to ACT support receive decision support from clinicians in the ACT. In operating rooms randomized to no intervention, the current standard of anesthesia care is delivered. The intention-to-treat principle will be followed for all analyses. Differences between groups will be presented with 99% confidence intervals; p-values <0.005 will be reported as providing compelling evidence, and p-values between 0.05 and 0.005 will be reported as providing suggestive evidence. TECTONICS is registered on ClinicalTrials.gov, ; registered on 23 April 2019.

Authors

  • Christopher R King
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Joanna Abraham
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Thomas G Kannampallil
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Bradley A Fritz
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Arbi Ben Abdallah
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Yixin Chen
    Department of Computer Science and Engineering, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Bernadette Henrichs
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Mary Politi
    Department of Surgery, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Brian A Torres
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Angela Mickle
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Thaddeus P Budelier
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Sherry McKinnon
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Stephen Gregory
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Sachin Kheterpal
    Department of Anesthesiology, University of Michigan, Ann Arbor, MI, 48109, USA.
  • Troy Wildes
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.
  • Michael S Avidan
    Department of Anesthesiology, Washington University in St Louis, St Louis, MO, 63110, USA.