Implementation of an in-hospital stroke simulation protocol

Abstract

Purpose

A major component of hospital stroke care involves prompt identification of stroke in admitted patients. Delays in recognizing stroke symptoms and initiating treatment for in-hospital stroke can adversely impact patient outcomes. This quality improvement intervention used simulation together with a traditional lecture to instruct nurses at a university hospital about a new stroke protocol being implemented to increase rapid recognition of stroke and meet Joint Commission National Hospital Inpatient Quality Measures. The paper aims to discuss these issues.

Design/methodology/approach

In total, 86 registered nurses from the neurology and cardiology units attended a lecture and participated in a simulation scenario with a standardized patient exhibiting stroke symptoms. Participants completed a ten-item pre-test to measure their knowledge of stroke care prior to the lecture; they repeated the test pre-simulation and once again post-simulation to evaluate changes in knowledge.

Findings

Overall mean stroke knowledge scores increased significantly from pre-lecture to pre-simulation, and from pre-simulation to post-simulation. Simulation plus lecture was more effective than lecture alone in increasing knowledge about hospital stroke protocol despite assigned unit (cardiology or neurology), years of experience, or previous exposure to simulation.

Research limitations/implications

All eligible nurses who agreed to participate received training, making it impossible to compare improvements in knowledge to those who did not receive the training.

Originality/value

A diverse array of nursing professionals and their patients may benefit from simulation training. This quality improvement intervention provides a feasible model for establishing new care protocols in a hospital setting.

Citation

Ortega, J., Gonzalez, J.M., de Tantillo, L. and Gattamorta, K. (2018), "Implementation of an in-hospital stroke simulation protocol", International Journal of Health Care Quality Assurance, Vol. 31 No. 6, pp. 552-562. https://doi.org/10.1108/IJHCQA-08-2017-0149