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Digital Simulation Improves, Maintains, and Helps Transfer Health-Care Providers' Neonatal Resuscitation Knowledge.

ABSTRACT: Purpose: To safely care for their newborn patients, health-care professionals (HCP) must undergo frequent training to improve and maintain neonatal resuscitation knowledge and skills. However, the current approach to neonatal resuscitation simulation training is time and resource-intensive, and often inaccessible. Digital neonatal resuscitation simulation may present a convenient alternative for more frequent training. Method: Fifty neonatal HCPs participated in the study (44 female; 27 nurses, 3 nurse practitioners, 14 respiratory therapists, 6 doctors). This study was conducted at a tertiary perinatal center in Edmonton, Canada from April-August 2019, with 2-month (June-October 2019) and 5-month (September 2019-January 2020) follow-up. Neonatal HCPs were recruited by volunteer sampling to complete a demographic survey, pre-test (baseline knowledge), two digital simulation scenarios (intervention), and post-test (knowledge acquisition). Two months later, participants repeated the post-test (knowledge retention). Five months after the initial intervention, participants completed a post-test using a table-top simulation (knowledge transfer). Longitudinal analyses were used to compare participants' performance over time. Results: Overall the proportion of correct performance increased: 21/50 (42%) passed the pre-test, 39/50 (78%) the post-test, 30/43 (70%) the 2-month post-test, and 32/40 (80%) the 5-month post-test. GLMM and GEE analyses revealed that performance on all post-tests was significantly better than the performance on the pre-test. Therefore, training with the RETAIN digital simulation effectively improves, maintains, and transfers HCPs' neonatal resuscitation knowledge. Conclusions: Digital simulation improved, maintained, and helped transfer HCPs' neonatal resuscitation knowledge over time. Digital simulation presents a promising approach for frequent neonatal resuscitation training, particularly for distance-learning applications.

SUBMITTER: Ghoman SK

PROVIDER: S-EPMC7848194 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Digital Simulation Improves, Maintains, and Helps Transfer Health-Care Providers' Neonatal Resuscitation Knowledge.

Ghoman Simran K SK Cutumisu Maria M Schmölzer Georg M GM

Frontiers in pediatrics 20210118

<b>Purpose:</b> To safely care for their newborn patients, health-care professionals (HCP) must undergo frequent training to improve and maintain neonatal resuscitation knowledge and skills. However, the current approach to neonatal resuscitation simulation training is time and resource-intensive, and often inaccessible. Digital neonatal resuscitation simulation may present a convenient alternative for more frequent training. <b>Method:</b> Fifty neonatal HCPs participated in the study (44 femal ...[more]

PMID: 33537263

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Project description:Background: Simulation education can benefit healthcare providers (HCPs) by providing opportunities to practice complex neonatal-resuscitation tasks in low-stake environments. To our knowledge, no study investigated the role of growth mindset on longitudinal performance on neonatal resuscitation before and after simulation-based training. Objectives: This study examines whether 1) the RETAIN digital/table-top simulators facilitate HCPs' neonatal resuscitation knowledge gain, retention, and transfer and 2) growth mindset moderates HCPs' longitudinal performance in neonatal resuscitation. Methods: Participants were n = 50 HCPs in a tertiary perinatal center in Edmonton, Canada. This longitudinal study was conducted in three stages including 1) a pretest and a mindset survey, immediately followed by a posttest using the RETAIN digital simulator from April to August 2019; 2) a 2-month delayed posttest using the same RETAIN neonatal resuscitation digital simulator from June to October 2019; and 3) a 5-month delayed posttest using the low-fidelity table-top neonatal resuscitation digital simulator from September 2019 to January 2020. Three General Linear Mixed Model (GLMM) repeated-measure analyses investigated HCPs' performance on neonatal resuscitation over time and the moderating effect of growth mindset on the association between test time points and task performance. Results: Compared with their pretest performance, HCPs effectively improved their neonatal resuscitation knowledge after the RETAIN digital simulation-based training on the immediate posttest (Est = 1.88, p < 0.05), retained their knowledge on the 2-month delayed posttest (Est = 1.36, p < 0.05), and transferred their knowledge to the table-top simulator after 5 months (Est = 2.01, p < 0.05). Although growth mindset did not moderate the performance gain from the pretest to the immediate posttest, it moderated the relationship between HCPs' pretest and long-term knowledge retention (i.e., the interaction effect of mindset and the 2-month posttest was significant: Est = 0.97, p < 0.05). The more they endorsed a growth mindset, the better the HCPs performed on the posttest, but only when they were tested after 2 months. Conclusions: Digital simulators for neonatal resuscitation training can effectively facilitate HCPs' knowledge gain, maintenance, and transfer. Besides, growth mindset shows a positive moderating effect on the longitudinal performance improvement in simulation-based training. Future research can be conducted to implement growth-mindset interventions promoting more effective delivery of technology-enhanced, simulation-based training and assessment.

Project description:Approximately 1 in 10 newborns will require basic resuscitation interventions at birth. Some infants progress to require more advanced measures including the provision of positive pressure ventilation, chest compressions, intubation and administration of volume/cardiac medications. Although advanced resuscitation is infrequent, it is crucial that personnel adequately trained in these techniques are available to provide such resuscitative measures. In 2000, Louis Halmalek et al. called for a "New Paradigm in Pediatric Medical Education: Teaching Neonatal Resuscitation in a Simulated Delivery Room Environment." This was one of the first articles to highlight simulation as a method of teaching newborn resuscitation. The last decades have seen an exponential growth in the area of simulation in newborn care, in particular in newborn resuscitation and stabilization. Simulation is best defined as an instructional strategy "used to replace or amplify real experiences with guided experiences that evoke or replicate substantial aspects of the real world in a fully interactive manner." Simulation training has now become an important point of how we structure training and deliver improved healthcare to patients. Some of the key aspects of simulation training include feedback, deliberate practice, outcome measurement, retention of skills and curriculum integration. The term "Train to win" is often used in sporting parlance to define how great teams succeed. The major difference between sports teams is that generally their game day comes once a week, whereas in newborn resuscitation every day is potentially "game day." In this review we aim to summarize the current evidence on the use of simulation based education and training in neonatal resuscitation, with particular emphasis on the evidence supporting its effectiveness. We will also highlight recent advances in the development of simulation based medical education in the context of newborn resuscitation to ensure we "train to win."

Project description:Background: Frequent simulation-based education is recommended to improve health outcomes during neonatal resuscitation but is often inaccessible due to time, resource, and personnel requirements. Digital simulation presents a potential alternative; however, its effectiveness and reception by healthcare professionals (HCPs) remains largely unexplored. Objectives: This study explores HCPs' attitudes toward a digital simulator, technology, and mindset to elucidate their effects on neonatal resuscitation performance in simulation-based assessments. Methods: The study was conducted from April to August 2019 with 2-month (June-October 2019) and 5-month (September 2019-January 2020) follow-up at a tertiary perinatal center in Edmonton, Canada. Of 300 available neonatal HCPs, 50 participated. Participants completed a demographic survey, a pretest, two practice scenarios using the RETAIN neonatal resuscitation digital simulation, a posttest, and an attitudinal survey (100% response rate). Participants repeated the posttest scenario in 2 months (86% response rate) and completed another posttest scenario using a low-fidelity, tabletop simulator (80% response rate) 5 months after the initial study intervention. Participants' survey responses were collected to measure attitudes toward digital simulation and technology. Knowledge was assessed at baseline (pretest), acquisition (posttest), retention (2-month posttest), and transfer (5-month posttest). Results: Fifty neonatal HCPs participated in this study (44 females and 6 males; 27 nurses, 3 nurse practitioners, 14 respiratory therapists, and 6 doctors). Most participants reported technology in medical education as useful and beneficial. Three attitudinal clusters were identified by a hierarchical clustering algorithm based on survey responses. Although participants exhibited diverse attitudinal paths, they all improved neonatal resuscitation performance after using the digital simulator and successfully transferred their knowledge to a new medium. Conclusions: Digital simulation improved HCPs' neonatal resuscitation performance. Medical education may benefit by incorporating technology during simulation training.

Project description:Background: Each year, 13-26 million newborn babies require help to breathe at birth. Healthcare professionals (HCPs) who provide neonatal resuscitative care must be frequently evaluated to maintain and improve the quality of healthcare delivered. While simulation-based competence assessment is preferred, resource constraints hinder uptake. We aimed to examine if the RETAIN simulation-based boardgame can be used to assess HCPs' neonatal resuscitation knowledge. Method: Twenty neonatal HCPs (19 females) from the Royal Alexandra Hospital (Edmonton, Canada) were recruited. First, they completed an open-answer written test of one neonatal resuscitation scenario. Then, they completed one neonatal resuscitation scenario of difficulty comparable to that of the open-answer written test, but this time using the RETAIN board game. In the RETAIN board game (https://playretain.com, RETAIN Labs Medical Inc, Edmonton, Canada), players perform simulated neonatal resuscitation scenarios based on real-life cases, using action cards, and equipment pieces. Sessions were video-recorded and scored using Neonatal Resuscitation Program 2015 guidelines. Data are reported as mean (standard deviation) for normally distributed continuous variables, and as median (interquartile range) for non-normal continuous variables. Results: Participants consisted of the following HCPs: 8 nurses, 4 respiratory therapists, 4 nurse practitioners, and 4 neonatal fellows with median (IQR) 10.5(3-17) years of clinical experience. Overall mean (SD) Open-answer test and Game Performance was 8.6(2.1) out of 16 possible points (53%) and 29(3.2) out of 40 possible points (74%), respectively. Out of the 10 actions shared between the open-answer test and game scenario, performance on the open-answer test was mean (SD) 7.2(1.3) (72%) and game performance was mean (SD) 8.8(1.4) (88%) (V = 17, p < 0.01). Conclusion: RETAIN may provide an enjoyable and standardized alternative toward summative assessment of neonatal resuscitation providers. RETAIN may be used to improve more frequent and ubiquitous uptake of simulation-based competence assessment in healthcare settings.

Project description:We wanted to assess newborn life support (NLS) knowledge and guideline adherence, and provide strategies to improve (neonatal) resuscitation guideline adherence. Pediatricians completed 17 multiple-choice questions (MCQ). They performed a simulated NLS scenario, using a high-fidelity manikin. The literature was systematically searched for publications regarding guideline adherence. Forty-six pediatricians participated: 45 completed the MCQ, 34 performed the scenario. Seventy-one percent (median, IQR 56-82) of the MCQ were answered correctly. Fifty-six percent performed inflation breaths ≤ 60 s, 24% delivered inflation breaths of 2-3 s, and 85% used adequate inspiratory pressures. Airway patency was ensured 83% (IQR 76-92) of the time. Median events/min, compression rate, and percentage of effective compressions were 138/min (IQR 130-145), 120/min (IQR 114-120), and 38% (IQR 24-48), respectively. Other adherence percentages were temperature management 50%, auscultation of initial heart rate 100%, pulse oximeter use 94%, oxygen increase 74%, and correct epinephrine dose 82%. Ten publications were identified and used for our framework. The framework may inspire clinicians, educators, researchers, and guideline developers in their attempt to improve resuscitation guideline adherence. It contains many feasible strategies to enhance professionals' knowledge, skills, self-efficacy, and team performance, as well as recommendations regarding equipment, environment, and guideline development/dissemination.Conclusion: NLS guideline adherence among pediatricians needs improvement. Our framework is meant to promote resuscitation guideline adherence. What is Known: • Inadequate newborn life support (NLS) may contribute to (long-term) pulmonary and cerebral damage. • Video-based assessment of neonatal resuscitations has shown that deviations from the NLS guideline occur frequently; this assessment method has its audiovisual shortcomings. What is New: • The resuscitation quality metrics provided by our high-fidelity manikin suggest that the adherence of Dutch general pediatricians to the NLS guideline is suboptimal. • We constructed a comprehensive framework, containing multiple strategies to improve (neonatal) resuscitation guideline adherence.

Project description:BackgroundNeonatal tele-resuscitation uses real-time, audio-video telemedicine to connect neonatologists with community hospital care teams during advanced neonatal resuscitations. While telemedicine continues to expand, best practices for training fellows in tele-resuscitation are not known.ObjectiveWe aimed to develop a neonatal tele-resuscitation curriculum using a simulation-based mastery learning model that provides neonatal-perinatal medicine (NPM) fellows with the knowledge, skills, and behaviors needed to lead tele-resuscitations.MethodsUsing technology-enhanced simulation education and a mastery learning model, we developed a longitudinal pilot tele-resuscitation curriculum. From 07/2018 to 03/2021, NPM fellows participated in the curriculum, which included individualized telemedicine learning, observing and leading simulated tele-resuscitations, and finally, performing clinical (non-simulated) tele-resuscitations. A performance assessment tool was developed to assess competency through eight questions mapped to the Accreditation Council for Graduate Medical Education (ACGME) core competencies, with responses on a 1 to 5 scale (1 = critical deficiencies; 5 = competence of an expert).ResultsFour NPM fellows participated in the curriculum, progressing through the curriculum at an individualized pace. Median scores on the three learning modules were 96-100%. Fellows participated in variable number of simulated tele-resuscitations based on when mastery was achieved (2-3 supervised simulations per fellow, 1-4 unsupervised simulations per fellow). In total, eighteen simulated tele-resuscitations (eight unsupervised, 10 supervised) and one clinical tele-resuscitation were conducted. Twenty-five performance assessments were completed. Assessment scores across the ACGME competencies were consistently high, with mean scores ranging from 4.2-4.6, with 4 equating to 'ready for unsupervised practice' and 5 equating to 'competence of an expert'.ConclusionsAs telemedicine use continues to expand, curricula that improve learners' comfort with and proficiency in tele-resuscitation are essential. A simulation-based mastery learning model may be one approach that affords learners gradual exposure to and mastery of complex tele-resuscitation skills and behaviors.

Dataset Information

Digital Simulation Improves, Maintains, and Helps Transfer Health-Care Providers' Neonatal Resuscitation Knowledge.

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Digital Simulation Improves, Maintains, and Helps Transfer Health-Care Providers' Neonatal Resuscitation Knowledge.

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