A review of the design and development processes of simulation for training in healthcare – A technology-centered versus a human-centered perspective

Persson, Johanna

doi:10.1016/j.apergo.2016.07.007

Cited by 38 publications

(18 citation statements)

References 25 publications

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“…Moreover, neonatal resuscitation guidelines recommend the use of simulation-based medical education as a solution to mitigate the loss of skills over time and to decrease human error in the delivery room [11]. Several researchers have used computer-based simulations successfully in pediatric and neonatal resuscitation for the last 2 decades to improve performance and learning [12][13][14][15][16].…”

Section: Introduction Backgroundmentioning

confidence: 99%

Health Care Providers’ Performance, Mindset, and Attitudes Toward a Neonatal Resuscitation Computer-Based Simulator: Empirical Study

Cutumisu

Ghoman

et al. 2020

JMIR Serious Games

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Background 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. 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. Objective This 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. Methods Participants 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. Results The 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). Conclusions Mindset 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.

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Section: Introduction Backgroundmentioning

confidence: 99%

Health Care Providers’ Performance, Mindset, and Attitudes Toward a Neonatal Resuscitation Computer-Based Simulator: Empirical Study

Cutumisu

Ghoman

et al. 2020

JMIR Serious Games

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“…Many previous kinds of research have been investigated about the healthcare system problems by developing a simulation model (Kim & Yoo, 2020;Persson, 2017). According to Pawlewski (2018) and Jones et al 2015, simulation has been done in the healthcare scope since the 2000s.…”

Section: Literature Reviewmentioning

confidence: 99%

“…According to Pawlewski (2018) and Jones et al 2015, simulation has been done in the healthcare scope since the 2000s. Although it is not easy to model a healthcare system (Pongjetanapong et al, 2018), the simulation method still becomes an effective method because of the simulation of healthcare resulting in the optimum value of each element in the system (Persson, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

Queue analysis of public healthcare system to reduce waiting time using flexsim 6.0

Amalia

Cahyati

2020

Int. J. Ind. Optim.

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Public healthcare is a health service facility from the government at a low cost. The problem is the long queue, which makes long patients’ waiting times. The patients are waiting for a maximum of more than 3 hours in the general polyclinic. Besides, the registration counter is almost busy all the time. The utilization is about 96.96%. Therefore, the objective of this research is to reduce the patients’ waiting time using the simulation method. Flexsim 6.0 software is employed to develop the public healthcare system and also develop some alternatives to improve the problem. The simulation model has been verified and validated. The result shows the waiting time is decreased by more than 80% by adding the resource in the registration counter. For managerial insight, this research could help the public healthcare system in satisfying the patients.

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“…The educational setting can be reproducible with a variety of different optimization details, not restricted by the physical world [1]. Although VR simulators are expensive to purchase, they can be used recurrently with low cost, require less staff than other methods (animal models or real patients), and guarantee no risk for the patient [8,12]. However, there are certain disadvantages in their use.…”

Section: Quality Control and Educational Impactmentioning

confidence: 99%

“…After the concept generation, the setting must be validated, in order to examine if it meets the educational expectations. Moreover, technical experts, medical experts, representatives from end-user groups, human factor experts, and designers should collaborate and form an interdisciplinary team that will design, evaluate, and upgrade the VR/AR products [11,12].…”

Section: Quality Control and Educational Impactmentioning

confidence: 99%

Virtual and Augmented Reality in Medical Education

Pantelidis¹,

Chorti²,

Papagiouvanni³

et al. 2018

Medical and Surgical Education - Past, Present and Future

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Virtual reality (VR) and augmented reality (AR) are two contemporary simulation models that are currently upgrading medical education. VR provides a 3D and dynamic view of structures and the ability of the user to interact with them. The recent technological advances in haptics, display systems, and motion detection allow the user to have a realistic and interactive experience, enabling VR to be ideal for training in hands-on procedures. Consequently, surgical and other interventional procedures are the main fields of application of VR. AR provides the ability of projecting virtual information and structures over physical objects, thus enhancing or altering the real environment. The integration of AR applications in the understanding of anatomical structures and physiological mechanisms seems to be beneficial. Studies have tried to demonstrate the validity and educational effect of many VR and AR applications, in many different areas, employed via various hardware platforms. Some of them even propose a curriculum that integrates these methods. This chapter provides a brief history of VR and AR in medicine, as well as the principles and standards of their function. Finally, the studies that show the effect of the implementation of these methods in different fields of medical training are summarized and presented.

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A review of the design and development processes of simulation for training in healthcare – A technology-centered versus a human-centered perspective

Cited by 38 publications

References 25 publications

Health Care Providers’ Performance, Mindset, and Attitudes Toward a Neonatal Resuscitation Computer-Based Simulator: Empirical Study

Health Care Providers’ Performance, Mindset, and Attitudes Toward a Neonatal Resuscitation Computer-Based Simulator: Empirical Study

Queue analysis of public healthcare system to reduce waiting time using flexsim 6.0

Virtual and Augmented Reality in Medical Education

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