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Clinical Trials/NCT00293618
NCT00293618CompletedNot Applicable

IMplementation of a Prediction Rule in Anesthesia Practice to Improve Cost-Effectiveness of Treatment of Postoperative Nausea and Vomiting

UMC Utrecht1 site in 1 country11,970 target enrollmentStarted: March 1, 2006Last updated:
Conditions
Interventions

Trial Snapshot

Phase
Not Applicable
Status
Completed
Enrollment
11,970
Locations
1
Primary Endpoint
the incidence of PONV within the first 24 hours

Study Overview

Brief Summary

This study evaluates whether the implementation of a prediction rule for postoperative nausea and vomiting changes physician behaviour, improves patient outcome and improves cost-effectiveness of treatment of postoperative nausea and vomiting.

Detailed Description

Background and objectives. So-called prediction rules (risk scores) have become increasingly popular in all medical disciplines. This will only rise with the introduction of electronic patient records as these will enhance their use. However, effects of implementation of such rules in daily care has hardly been studied. Also not in anesthesiology. We developed and validated an accurate rule to preoperatively predict the risk of postoperative nausea and vomiting (PONV) in surgical inpatients. PONV causes extreme patient discomfort and occurs in even 30%-50% of all surgical inpatients. As routine administration of PONV prophylaxis is not cost-effective, a risk-tailored approach using an accurate prediction rule is widely advocated. Before large-scale implementation, we aim to study whether such implementation indeed changes physician behavior and improves patient outcome. Given the increase interest in prediction rules, another aim is to study general causes of successful/poor implementation of prediction rules in health care. Design. Cluster, randomized study in which 60 anesthesiologists and senior residents of the UMC Utrecht will be randomized to either the intervention or usual care group.

Study population. Adult,elective,non-ambulatory,surgical patients undergoing general anesthesia of UMC Utrecht.

Intervention. Implementation of risk-tailored PONV strategy (use of the PONV prediction rule with suggested anti-emetic strategies per risk group) in current care.

Outcomes. Primary:incidence of PONV in first 24 hours. Secondary:change in anesthesiologists' behavior in terms of administered anti-emetic management, cost-effectiveness of intervention, attitudes of physicians towards prediction rules in general.

Sample size. 11,000

Study Design

Study Type
Interventional
Allocation
Randomized
Intervention Model
Parallel
Primary Purpose
Prevention
Masking
None

Eligibility Criteria

Ages
18 Years to — (Adult, Older Adult)
Sex
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  • •Adult patients
  • •Undergoing elective surgery
  • •General anesthesia

Exclusion Criteria

  • •emergency surgery
  • •postoperative transfer to ICU

Arms & Interventions

Intervention

Experimental

Arm of anesthesiologists and senior residents who receive a patient's individual predicted PONV risk intraoperatively

Intervention: Automatic Risk Presentation in the operating room (Device)

Intervention

Experimental

Arm of anesthesiologists and senior residents who receive a patient's individual predicted PONV risk intraoperatively

Intervention: Education (Other)

Intervention

Experimental

Arm of anesthesiologists and senior residents who receive a patient's individual predicted PONV risk intraoperatively

Intervention: Feedback (Other)

Usual Care

Active Comparator

Anesthesiologists and senior residents who provide usual care: they provide PONV prophylaxis as they always have

Intervention: Education (Other)

Outcomes

Primary Outcomes

the incidence of PONV within the first 24 hours

Time Frame: within 24 hours after surgery

Secondary Outcomes

  • Behaviour of the anaesthesiologist regarding PONV-prophylaxis(Perioperative)
  • Cost-effectiveness risk-based prophylaxis compared to standard care(Within 24 hours after surgery)
  • Attitude of anesthesiologists to use risk estimations from a prediction rule(At the start and end of the study)

Investigators

Sponsor Class
Other

Study Sites (1)

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