Abstract

BackgroundNeonatal resuscitation involves a complex sequence of actions to establish an infant’s cardiorespiratory function at birth. Many of these responses, which identify the best action sequence in each situation, are taught as part of the recurrent Neonatal Resuscitation Program training, but they have a low incidence in practice, which leaves health care providers (HCPs) less prepared to respond appropriately and efficiently when they do occur. Computer-based simulators are increasingly used to complement traditional training in medical education, especially in the COVID-19 pandemic era of mass transition to digital education. However, it is not known how learners’ attitudes toward computer-based learning and assessment environments influence their performance.ObjectiveThis study explores the relation between HCPs’ attitudes toward a computer-based simulator and their performance in the computer-based simulator, RETAIN (REsuscitation TrAINing), to uncover the predictors of performance in computer-based simulation environments for neonatal resuscitation.MethodsParticipants were 50 neonatal HCPs (45 females, 4 males, 1 not reported; 16 respiratory therapists, 33 registered nurses and nurse practitioners, and 1 physician) affiliated with a large university hospital. Participants completed a demographic presurvey before playing the game and an attitudinal postsurvey after completing the RETAIN game. Participants’ survey responses were collected to measure attitudes toward the computer-based simulator, among other factors. Knowledge on neonatal resuscitation was assessed in each round of the game through increasingly difficult neonatal resuscitation scenarios. This study investigated the moderating role of mindset on the association between the perceived benefits of understanding the terminology used in the computer-based simulator, RETAIN, and their performance on the neonatal resuscitation tasks covered by RETAIN.ResultsThe results revealed that mindset moderated the relation between participants’ perceived terminology used in RETAIN and their actual performance in the game (F3,44=4.56, R2=0.24, adjusted R2=0.19; P=.007; estimate=–1.19, SE=0.38, t44=–3.12, 95% CI –1.96 to –0.42; P=.003). Specifically, participants who perceived the terminology useful also performed better but only when endorsing more of a growth mindset; they also performed worse when endorsing more of a fixed mindset. Most participants reported that they enjoyed playing the game. The more the HCPs agreed that the terminology in the tutorial and in the game was accessible, the better they performed in the game, but only when they reported endorsing a growth mindset exceeding the average mindset of all the participants (F3,44=6.31, R2=0.30, adjusted R2=0.25; P=.001; estimate=–1.21, SE=0.38, t44=−3.16, 95% CI –1.99 to –0.44; P=.003).ConclusionsMindset moderates the strength of the relationship between HCPs’ perception of the role that the terminology employed in a game simulator has on their performance and their actual performance in a computer-based simulator designed for neonatal resuscitation training. Implications of this research include the design and development of interactive learning environments that can support HCPs in performing better on neonatal resuscitation tasks.

Highlights

  • BackgroundApproximately 1 in 10 infants worldwide will require some degree of neonatal resuscitation at birth to support their circulation and breathing [1]

  • The more the health care provider neonatal intensive care unit (NICU) (HCP) agreed that the terminology in the tutorial and in the game was accessible, the better they performed in the game, but only when they reported endorsing a growth mindset exceeding the average http://games.jmir.org/2020/4/e21855/

  • Primary Outcomes The results of this study revealed that the more the HCPs agreed that the terminology used in both the tutorial and the game did not impede their game experience, the better they performed in the game, but this was only when they endorsed growth-mindset levels exceeding the average growth mindset

Read more

Summary

Introduction

BackgroundApproximately 1 in 10 infants worldwide will require some degree of neonatal resuscitation at birth to support their circulation and breathing [1]. Infants may receive assistance across 4 categories of sequential actions: initial stabilization (provide warmth, clear airways, dry, stimulate, and reevaluate), ventilation, chest compressions, and administration of epinephrine and volume expansion [2] These actions, including a continuous evaluation of the infant, must be performed rapidly, yet accurately. Due to the rare occurrence of these highly specialized events and their collaborative, team-based nature, breakdown in HCP communication is the leading cause of neonatal death [5] In such situations, deviation from the neonatal resuscitation protocol can occur. Neonatal resuscitation involves a complex sequence of actions to establish an infant’s cardiorespiratory function at birth Many of these responses, which identify the best action sequence in each situation, are taught as part of the recurrent Neonatal Resuscitation Program training, but they have a low incidence in practice, which leaves health care providers (HCPs) less prepared to respond appropriately and efficiently when they do occur. It is not known how learners’ attitudes toward computer-based learning and assessment environments influence their performance

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call