Precision Feedback for Anesthesia Care
Trial Summary
What is the purpose of this trial?
This cluster-randomized trial will assess the effectiveness of a precision feedback service on anesthesia provider performance. The precision feedback service enhances a standard audit and feedback (A\&F) email with a brief message and visual display about high-value performance information. The control arm will receive a standard "one size fits most" A\&F email that is currently sent to anesthesia providers each month. Hypothesis: Providers receiving precision feedback will increase a) care quality for improvable measures and b) email engagement (click-through and dashboard login rates) when compared with providers receiving standard A\&F emails. The study investigators will assess unintended consequences in a mixed-methods process evaluation.
Do I need to stop my current medications for this trial?
The protocol does not specify whether you need to stop taking your current medications.
Will I have to stop taking my current medications?
The trial information does not specify whether participants need to stop taking their current medications.
What data supports the idea that Precision Feedback for Anesthesia Care is an effective treatment?
The available research shows that Precision Feedback for Anesthesia Care can improve clinical practice by providing personalized performance summaries to healthcare providers. This approach highlights specific areas where performance can be improved, making it more effective than standard feedback methods. By focusing on the most relevant information for each provider, Precision Feedback helps them understand and act on performance gaps, potentially leading to better patient care.12345
What data supports the effectiveness of the treatment Precision Feedback for Anesthesia Care?
Research shows that Audit and Feedback (A&F), which involves giving healthcare providers summaries of their clinical performance, can significantly improve clinical practice. Precision Feedback, a more tailored version of A&F, uses personalized metrics and optimal message formats to enhance its impact, suggesting it could be effective in improving anesthesia care.12345
What safety data is available for Precision Feedback in anesthesia care?
The provided research does not directly address safety data for Precision Feedback in anesthesia care. It focuses on the effectiveness, design, and implementation of Audit and Feedback (A&F) systems, including electronic versions, but does not specifically mention safety outcomes or data related to anesthesia care.12467
Is Precision Feedback for Anesthesia Care safe for humans?
Is the treatment in the trial 'Precision Feedback for Anesthesia Care' a promising treatment?
How does the Precision Feedback for Anesthesia Care treatment differ from other treatments?
Precision Feedback for Anesthesia Care is unique because it uses a tailored approach to provide feedback to healthcare providers, focusing on the most relevant performance metrics for each individual. This personalized feedback aims to improve clinical practice by highlighting specific areas for improvement, unlike traditional methods that use a one-size-fits-all approach.12348
Research Team
Zach Landis-Lewis
Principal Investigator
University of Michigan
Eligibility Criteria
This trial is for anesthesia providers who are already part of the MPOG provider feedback email program. It's designed to see if a more personalized feedback method can improve their performance in providing care.Inclusion Criteria
Timeline
Screening
Participants are screened for eligibility to participate in the trial
Pre-intervention
Providers' baseline performance is measured for 6 months before the intervention
Intervention
Providers receive either precision-enhanced feedback or standard feedback emails monthly
Follow-up
Participants are monitored for email engagement and performance improvements
Treatment Details
Interventions
- Precision Feedback
- Standard Feedback
Find a Clinic Near You
Who Is Running the Clinical Trial?
University of Michigan
Lead Sponsor
National Library of Medicine (NLM)
Collaborator