Improving Neuromuscular Monitoring and Reducing Residual Neuromuscular Blockade With E-Learning: Protocol for the Multicenter Interrupted Time Series INVERT Study

Jakob Louis Demant Thomsen, Ole Mathiesen, Daniel Hägi-Pedersen, Lene Theil Skovgaard, Doris Østergaard, Jens Engbaek, Mona Ring Gätke, Jakob Louis Demant Thomsen, Ole Mathiesen, Daniel Hägi-Pedersen, Lene Theil Skovgaard, Doris Østergaard, Jens Engbaek, Mona Ring Gätke

Abstract

Background: Muscle relaxants facilitate endotracheal intubation under general anesthesia and improve surgical conditions. Residual neuromuscular blockade occurs when the patient is still partially paralyzed when awakened after surgery. The condition is associated with subjective discomfort and an increased risk of respiratory complications. Use of an objective neuromuscular monitoring device may prevent residual block. Despite this, many anesthetists refrain from using the device. Efforts to increase the use of objective monitoring are time consuming and require the presence of expert personnel. A neuromuscular monitoring e-learning module might support consistent use of neuromuscular monitoring devices.

Objective: The aim of the study is to assess the effect of a neuromuscular monitoring e-learning module on anesthesia staff's use of objective neuromuscular monitoring and the incidence of residual neuromuscular blockade in surgical patients at 6 Danish teaching hospitals.

Methods: In this interrupted time series study, we are collecting data repeatedly, in consecutive 3-week periods, before and after the intervention, and we will analyze the effect using segmented regression analysis. Anesthesia departments in the Zealand Region of Denmark are included, and data from all patients receiving a muscle relaxant are collected from the anesthesia information management system MetaVision. We will assess the effect of the module on all levels of potential effect: staff's knowledge and skills, patient care practice, and patient outcomes. The primary outcome is use of neuromuscular monitoring in patients according to the type of muscle relaxant received. Secondary outcomes include last recorded train-of-four value, administration of reversal agents, and time to discharge from the postanesthesia care unit as well as a multiple-choice test to assess knowledge. The e-learning module was developed based on a needs assessment process, including focus group interviews, surveys, and expert opinions.

Results: The e-learning module was implemented in 6 anesthesia departments on 21 November 2016. Currently, we are collecting postintervention data. The final dataset will include data from more than 10,000 anesthesia procedures. We expect to publish the results in late 2017 or early 2018.

Conclusions: With a dataset consisting of thousands of general anesthesia procedures, the INVERT study will assess whether an e-learning module can increase anesthetists' use of neuromuscular monitoring.

Trial registration: Clinicaltrials.gov NCT02925143; https://ichgcp.net/clinical-trials-registry/NCT02925143 (Archived by WebCite® at http://www.webcitation.org/6s50iTV2x).

Keywords: e-learning; neuromuscular monitoring; objective neuromuscular monitoring; protocol; quantitative neuromuscular monitoring; residual neuromuscular blockade.

Conflict of interest statement

Conflicts of Interest: JLT received two research grants from the Investigator-Initiated Studies Program of Merck Sharp & Dohme Corp. There were no other potential conflicts of interest.

MRG received research grants from the Investigator-Initiated Studies Program of Merck Sharp & Dohme Corp and received speaker’s fees from Merck.

The other authors had no conflict of interest to decare.

©Jakob Louis Demant Thomsen, Ole Mathiesen, Daniel Hägi-Pedersen, Lene Theil Skovgaard, Doris Østergaard, Jens Engbaek, Mona Ring Gätke. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 06.10.2017.

Figures

Figure 1
Figure 1
Example of data collection for an interrupted time series study.
Figure 2
Figure 2
Screen shot from e-learning module.

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Source: PubMed

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