Does electronic decision support influence advanced life support in simulated cardiac arrest?

Abstract

In-hospital Cardiac arrest is common but despite mandatory resuscitation training for staff, the survival rates vary considerably. The reason for such variation is unclear but may relate to a number of human factors. Decision support systems and tools have been suggested as a means of reducing human errors and improve patient outcome. In this proof of concept study, we tested the use of such a device in a simulated environment Methods The aims of this study were firstly, to investigate if the introduction of an electronic decision support system (eDSS) influenced the delivery of advanced life support in a simulated cardiac arrest scenario and secondly, to explore the users' views on their performance both with and without the eDSS.

The impact of cognitive aids on resuscitation performance in in-hospital cardiac arrest scenarios: a systematic review and meta-analysis

“…Of the 4224 screened studies, 16 met our inclusion criteria: 14 adult CA studies [32][33][34][35][36][48][49][50][51][52][53][54][55][56] (for a total of 688 scenarios) and two paediatric CA studies [30,31] (for a total of 46 scenarios). The PRISMA flow chart for the study selection process is shown in Fig.…”

“…The articles were published between 1995 and 2021, with nine (64%) published in the past three years [33,34,48,49,[52][53][54][55][56]. Thirteen studies were RCTs: seven with a crossover design [35,36,49,51,[54][55][56], five with a two-arm parallel design [32,34,48,50,53], and one with a three-arm parallel design [33].…”

“…Thirteen studies were RCTs: seven with a crossover design [35,36,49,51,[54][55][56], five with a two-arm parallel design [32,34,48,50,53], and one with a three-arm parallel design [33]. Only one study was a non-randomized controlled crossover trial [52].…”

“…Teams consisted of medical residents in eight studies [32,33,35,50,51,[53][54][55], registered nurses in six [34,35,48,52,54,56], attending physicians in six [34,35,48,49,54,56], nursing students in one [52] and medical students in another one [36].…”

“…Ten studies evaluated the effectiveness of interactive digital cognitive tools installed on an electronic device: four smartphone apps [32,33,51,55], a tablet app [48], an electronic decision support system controlled by a handheld tablet device [52], a dynamic electronic cognitive aid on a large screen display [53], an interactive webbased application intended to be viewed by the entire team on a large screen [54], a computer-based prompting device [50], and a Decision Support Tool on Ipod Touch [36]. Four studies [34,35,49,56] evaluated paper-based cognitive tools.…”