Current Publications in Pediatric Simulation

Newly Published Pediatric Simulation Articles for September 2021

  1. Ates E, Ulus B, Karahan A. Simulation Experience in Community Health Nursing: Postpartum Evaluation of the Mother and the Infant at Home Environment. Home Health Care Manag Pract [Internet]. 2021;33(1):37–44. Available from: http://doi.org/10.1177/1084822320958691
  2. Avesar M, Erez A, Essakow J, Young C, Cooper B, Akan D, et al. The effects of rudeness, experience, and perspective-taking on challenging premature closure after pediatric ICU physicians receive hand-off with the wrong diagnosis: a randomized controlled simulation trial. Diagnosis (Berlin, Ger [Internet]. 2020; Available from: https://doi.org/10.1515/dx-2020-0083
  3. Balikai SC, Badheka A, Casey A, Endahl E, Erdahl J, Fayram L, et al. Simulation-based Training of Pediatric Intensive Care Unit Teams in Endotracheal Intubation of Patients with Suspected or Confirmed COVID-19: Response to a Letter to the Editor. Pediatr Qual Saf [Internet]. 2021;6(5):e457. Available from: http://doi.org/10.1097/pq9.0000000000000457
  4. Ball S, Hanks J, Potthoff M, Connelly S. A Pediatric Telehealth Simulation for Prelicensure and Advanced Practice Nursing Students. Nurs Educ Perspect [Internet]. 2021; Available from: http://doi.org/10.1097/01.NEP.0000000000000743
  5. Besbes H, Ouanes I, Thabet F, Sfar E, Chouchane C, Chouchane S. High-fidelity simulation versus video-based learning in the management of pediatric septic shock: a pilot study. Eur J Pediatr [Internet]. 2021;180(2):487–93. Available from: http://doi.org/10.1007/s00431-020-03856-5
  6. Buyck M, Levy A, Tabone L, Aubin C-E, Jouvet P, Baudin F. Pediatric barrier enclosure for nasopharyngeal suctioning during Covid-19 pandemic: A simulation based-study. Am J Emerg Med [Internet]. 2020; Available from: https://www.ajemjournal.com/article/S0735675720311116/pdf
  7. Cavallin F, Lupi F, Bua B, Bellutti M, Staffler A, Trevisanuto D. Impact of personal protective equipment on neonatal resuscitation procedures: a randomised, cross-over, simulation study. Arch Dis Child Fetal Neonatal Ed [Internet]. 2021; Available from: http://doi.org/10.1136/archdischild-2021-322216
  8. Chand Y, Singh S. Prioritization of potential vaccine candidates and designing a multiepitope-based subunit vaccine against multidrug-resistant Salmonella Typhi str. CT18: A subtractive proteomics and immunoinformatics approach. Microb Pathog [Internet]. 2021;159:105150. Available from: http://doi.org/10.1016/j.micpath.2021.105150
  9. Chang W, Koba Y. Evaluation of Organ Doses for Pediatric Computed Tomography Using a Newly Designed Radiophotoluminescence Glass Dosimeter and Comparison with a Monte Carlo Simulation-based Dose Calculator. Health Phys [Internet]. 2021;120(3):288–95. Available from: http://doi.org/10.1097/HP.0000000000001315
  10. Chen Y, Zhao Y. Efficient sparse estimation on interval-censored data with approximated L0 norm: Application to child mortality. PLoS One [Internet]. 2021;16(4):e0249359. Available from: http://doi.org/10.1371/journal.pone.0249359
  11. Coelho G, Vieira EV, Rabelo NN, Marie T, Brito D, Del Massa EC, et al. Preoperative Planning Modalities for Meningoencephalocele: New Proof of Concept. World Neurosurg [Internet]. 2021;151:124–31. Available from: http://doi.org/10.1016/j.wneu.2021.04.132
  12. Cramer SJE, van Zanten HA, Boezaard M, Hoek PM, Dekker J, Hooper SB, et al. High variability in nurses’ tactile stimulation methods in response to apnoea of prematurity-A neonatal manikin study. Acta Paediatr (Oslo, Norw 1992) [Internet]. 2020; Available from: http://www.ncbi.nlm.nih.gov/pubmed/32892397
  13. Cristallo T, Walters M, Scanlan J, Doten I, Demeter T, Colvin D. Multidisciplinary, In Situ Simulation Improves Experienced Caregiver Confidence With High-Risk Pediatric Emergencies. Pediatr Emerg Care [Internet]. 2021;37(9):451–5. Available from: http://doi.org/10.1097/PEC.0000000000001623
  14. Davila U, Price A. Past Present and Future of Simulation in Pediatrics. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2021. Available from: http://www.ncbi.nlm.nih.gov/books/NBK559082/
  15. El Ghaleb Y, Schneeberger PE, Fernández-Quintero ML, Geisler SM, Pelizzari S, Polstra AM, et al. CACNA1I gain-of-function mutations differentially affect channel gating and cause neurodevelopmental disorders. Brain [Internet]. 2021;144(7):2092–106. Available from: http://doi.org/10.1093/brain/awab101
  16. Elkayal O, Allegaert K, Spriet I, Smits A, Seghaye M-C, Charlier C, et al. Population pharmacokinetics of cefazolin in maternal and umbilical cord plasma, and simulated exposure in term neonates. J Antimicrob Chemother [Internet]. 2021; Available from: http://doi.org/10.1093/jac/dkab329
  17. Fandim JV, Saragiotto BT, Porfírio GJM, Santana RF. Effectiveness of virtual reality in children and young adults with cerebral palsy: a systematic review of randomized controlled trial. Brazilian J Phys Ther [Internet]. 2021;25(4):369–86. Available from: http://doi.org/10.1016/j.bjpt.2020.11.003
  18. Feldman O, Nasrallah N, Bitterman Y, Shavit R, Marom D, Rapaport Z, et al. Pediatric Intraosseous Access Performed by Emergency Department Nurses Using Semiautomatic Devices: A Randomized Crossover Simulation Study. Pediatr Emerg Care [Internet]. 2021;37(9):442–6. Available from: http://doi.org/10.1097/PEC.0000000000001621
  19. Ge J, Wood N, Segev D, Lai JC, Gentry S. Implementing a Height-Based Rule for Allocation of Pediatric Donor Livers to Adults – A Liver Simulated Allocation Model (LSAM) Study. Liver Transplant Off Publ Am Assoc Study Liver Dis Int Liver Transplant Soc [Internet]. 2021; Available from: http://www.ncbi.nlm.nih.gov/pubmed/33459499
  20. Gold JI, Annick ET, Lane AS, Ho K, Marty RT, Espinoza JC. “Doc McStuffins: Doctor for a Day” Virtual Reality (DocVR) for Pediatric Preoperative Anxiety and Satisfaction: Pediatric Medical Technology Feasibility Study. J Med Internet Res [Internet]. 2021;23(4):e25504. Available from: http://doi.org/10.2196/25504
  21. Gorelik N, Patil K, Chen SJ-S, Bhatnagar S, Faingold R. Impact of Simulation Training on Radiology Resident Performance in Neonatal Head Ultrasound. Acad Radiol [Internet]. 2020; Available from: https://doi.org/10.1016/j.acra.2020.06.040
  22. Gross IT, Goldberg SA, Whitfill T, Liebling S, Garcia A, Alfano A, et al. Improving Pediatric Administrative Disaster Preparedness Through Simulated Disaster Huddles. Disaster Med Public Health Prep [Internet]. 2020 Mar 16 [cited 2020 Apr 5];1–6. Available from: http://www.ncbi.nlm.nih.gov/pubmed/32172716
  23. Gurkha D, Cashen K, Patek P, Lelak K, Levasseur K. Coronavirus-19 Multisystem Inflammatory Syndrome in Children (MIS-C): A Pediatric Simulation Case for Residents, Fellows, and Advanced Practice Providers. MedEdPORTAL J Teach Learn Resour [Internet]. 2021;17:11180. Available from: http://doi.org/10.15766/mep_2374-8265.11180
  24. Herregods N, Jans LBO, Paschke J, De Buyser SL, Renson T, Dehoorne J, et al. Magnetic resonance imaging findings in the normal pediatric sacroiliac joint space that can simulate disease. Pediatr Radiol [Internet]. 2021; Available from: http://doi.org/10.1007/s00247-021-05168-8
  25. Hosseinzadeh S, Novais EN, Emami A, Portilla G, Maranho DA, Kim Y-J, et al. Does the Capital Femoral Physis Bony MorphologyDiffer in Children with Symptomatic Cam-type Femoroacetabular Impingement. Clin Orthop Relat Res [Internet]. 2021;479(5):922–31. Available from: http://doi.org/10.1097/CORR.0000000000001602
  26. Jafri FN, Mirante D, Ellsworth K, Shulman J, Dadario NB, Williams K, et al. A Microdebriefing Crisis Resource Management Program for Simulated Pediatric Resuscitation in a Community Hospital: A Feasibility Study. Simul Healthc [Internet]. 2021;16(3):163–9. Available from: http://doi.org/10.1097/SIH.0000000000000480
  27. James A, Plank MJ, Binny RN, Lustig A, Hannah K, Hendy SC, et al. A structured model for COVID-19 spread: modelling age and healthcare inequities. Math Med Biol [Internet]. 2021;38(3):299–313. Available from: http://doi.org/10.1093/imammb/dqab006
  28. Jani P, Blood AD, Park YS, Xing K, Mitchell D. Simulation-Based Curricula for Enhanced Retention of Pediatric Resuscitation Skills: A Randomized Controlled Study. Pediatr Emerg Care [Internet]. 2021;37(10):e645–52. Available from: http://doi.org/10.1097/PEC.0000000000001849
  29. Jara Aguirre JC, Norgan AP, Cook WJ, Karon BS. Error simulation modeling to assess the effects of bias and precision on bilirubin measurements used to screen for neonatal hyperbilirubinemia. Clin Chem Lab Med [Internet]. 2021; Available from: http://www.ncbi.nlm.nih.gov/pubmed/33470956
  30. Kerr MM, Gourlay T. Design and numerical simulation for the development of an expandable paediatric heart valve. Int J Artif Organs [Internet]. 2021;44(7):518–24. Available from: http://doi.org/10.1177/0391398820977509
  31. Kessler DO, Grabinski Z, Shepard LN, Jones SI, Lin Y, Duff J, et al. Influence of Cardiopulmonary Resuscitation Coaching on Interruptions in Chest Compressions During Simulated Pediatric Cardiac Arrest*. Pediatr Crit Care Med [Internet]. 2021;22(4):345–53. Available from: http://doi.org/10.1097/PCC.0000000000002623
  32. Khattab M, Frisell K, MacKinnon R, Chang T, Raymond T, Lofton L, et al. Healthcare Provider Characteristics and Cardiopulmonary Resuscitation Quality During Infant Resuscitation: A Simulation Study. Simul Healthc [Internet]. 2021; Available from: http://doi.org/10.1097/SIH.0000000000000599
  33. Kitano T, Nishikawa H, Suzuki R, Onaka M, Nishiyama A, Kitagawa D, et al. Burden of Pediatric Central Nervous System Infection and Cost-Benefit Simulation of Multiplex Polymerase Chain Reaction in Japan. Jpn J Infect Dis [Internet]. 2021;74(2):144–7. Available from: http://doi.org/10.7883/yoken.JJID.2020.623
  34. Kline M, Crispino L, Bhatnagar A, Panchal RA, Auerbach M. A Randomized Single-Blinded Simulation-Based Trial of a Novel Method for Fluid Administration to a Septic Infant. Pediatr Emerg Care [Internet]. 2021;37(6):e313–8. Available from: http://doi.org/10.1097/PEC.0000000000001583
  35. Kuchenbuch M, Nabbout R, Yochum M, Sauleau P, Modolo J, Wendling F, et al. In silico model reveals the key role of GABA in KCNT1-epilepsy in infancy with migrating focal seizures. Epilepsia [Internet]. 2021;62(3):683–97. Available from: http://doi.org/10.1111/epi.16834
  36. Lee MO, Schertzer K, Khanna K, Wang NE, Camargo CAJ, Sebok-Syer SS. Using In Situ Simulations to Improve Pediatric Patient Safety in Emergency Departments. Acad Med [Internet]. 2021;96(3):395–8. Available from: http://doi.org/10.1097/ACM.0000000000003807
  37. Litke-Wager C, Delaney H, Mu T, Sawyer T. Impact of Task-Oriented Role Assignment on Neonatal Resuscitation Performance: A Simulation-Based Randomized Controlled Trial. Am J Perinatol. 2020 Jan 3;38(9);914-921. Available from: http://doi.org/10.1055/s-0039-3402751
  38. Liu F, Bao L-S, Liang R-J, Zhao X-Y, Li Z, Du Z-F, et al. Identification of rare variants causing urea cycle disorders: A clinical, genetic, and biophysical study. J Cell Mol Med [Internet]. 2021;25(8):4099–109. Available from: http://doi.org/10.1111/jcmm.16379
  39. Logan DE, Simons LE, Caruso TJ, Gold JI, Greenleaf W, Griffin A, et al. Leveraging Virtual Reality and Augmented Reality to Combat Chronic Pain in Youth: Position Paper From the Interdisciplinary Network on Virtual and Augmented Technologies for Pain Management. J Med Internet Res [Internet]. 2021;23(4):e25916. Available from: http://doi.org/10.2196/25916
  40. London NR, Rangel GG, VanKoevering K, Zhang A, Powell AR, Prevedello DM, et al. Simulation of Pediatric Anterior Skull Base Anatomy Using a 3D Printed Model. World Neurosurg [Internet]. 2021; Available from: http://www.ncbi.nlm.nih.gov/pubmed/33359526
  41. Long C-Y, Lin K-L, Loo Z-X, Ker C-R, Wu M-P, Lee Y-C. The effects of simulated childbirth trauma on the gene expression of neurotransmitter receptors in the bladder of female rats. J Formos Med Assoc [Internet]. 2021; Available from: http://www.ncbi.nlm.nih.gov/pubmed/33472764
  42. Mallory LA, Doughty CB, Davis KI, Cheng A, Calhoun AW, Auerbach MA, et al. A Decade Later-Progress and Next Steps for Pediatric Simulation Research. Simul Healthc [Internet]. 2021; Available from: http://doi.org/10.1097/SIH.0000000000000611
  43. Meyer BD, Fearnow Bs B, Quinonez RB. Asynchronous pediatric caregiver simulation in a virtual setting during the COVID pandemic. J Dent Educ [Internet]. 2020; Available from: https://doi.org/10.1002/jdd.12319
  44. Monzani A, Genoni G, Binotti M, Tagliaferri F, Rabbone I, Ingrassia PL. Management of a suspected case of 2019 novel coronavirus infection in a 4‐year old child: A simulation scenario. J Paediatr Child Heal [Internet]. 2021;57(5):743–6. Available from: http://doi.org/10.1111/jpc.15022
  45. Morse JD, Cortinez LI, Anderson BJ. Pharmacokinetic concepts for dexmedetomidine target-controlled infusion pumps in children. Paediatr Anaesth [Internet]. 2021;31(9):924–31. Available from: http:doi.org/10.1111/pan.14235
  46. Moser B, Kemper M, Dullenkopf A, Dave MH, Buehler PK, Weiss M. Simulated dimensional compatibility of uncuffed and cuffed tracheal tubes for selective endobronchial intubation in children. Paediatr Anaesth [Internet]. 2020; Available from: https://doi.org/10.1111/pan.14058
  47. Mylavarapu G, Gutmark E, Shott S, Fleck RJ, Mahmoud M, McConnell K, et al. Predicting critical closing pressure in children with obstructive sleep apnea using fluid structure interaction simulations. J Appl Physiol [Internet]. 2021; Available from: http://doi.org/10.1152/japplphysiol.00694.2020
  48. Nguyen MC, Elliott NC, Begany DP, Best KM, Cook MD, Jong MR, et al. Assessment of Emergency Medicine Resident Performance in a Pediatric In Situ Simulation Using Multi-Source Feedback. Cureus [Internet]. 2021;13(8):e16812. Available from: http://doi.org/10.7759/cureus.16812
  49. Noori S, Ebrahimi M, Luo H, Seri I, Siassi B. Development and validation of an automated assessment tool of echocardiography skills acquired on a neonatal simulator. Echocardiography [Internet]. 2021;38(2):217–21. Available from: http://doi.org/10.1111/echo.14965
  50. Novais EN, Hosseinzadeh S, Emami SA, Maranho DA, Kim Y-J, Kiapour AM. What Is the Association Among Epiphyseal Rotation, Translation, and the Morphology of the Epiphysis and Metaphysis in Slipped Capital Femoral Epiphysis? Clin Orthop Relat Res [Internet]. 2021;479(5):935–44. Available from: http://doi.org/10.1097/CORR.0000000000001590
  51. Padrez KA, Brown J, Zanoff A, Chen CC, Glomb N. Development of a simulation-based curriculum for Pediatric prehospital skills: a mixed-methods needs assessment. BMC Emerg Med [Internet]. 2021;21(1):1–10. Available from: http://doi.org/10.1186/s12873-021-00494-4
  52. Pani SC, Vieira LAC. Integrating online learning management systems to dental simulation clinics – An example of blended learning in pediatric dentistry. J Dent Educ [Internet]. 2020; Available from: https://doi.org/10.1002/jdd.12381
  53. Peachey L. Shaping clinical imagination as new graduate nurses in maternal-child simulation. Nurse Educ Today [Internet]. 2021;97:104668. Available from: http://doi.org/10.1016/j.nedt.2020.104668
  54. Raphael BP, Takvorian-Bené M, Gallotto M, Tascione C, McClelland J, Rosa C, et al. Learning Gaps and Family Experience, Nurse-Facilitated Home Parenteral Nutrition Simulation-Based Discharge Training: Proof-of-Concept Study. Nutr Clin Pract [Internet]. 2021;36(2):489–96. Available from: http://doi.org/10.1002/ncp.10421
  55. Schepat P, Herff H, Alhareh M, Wenzel V. [Simulation of video-assisted retrieval of foreign bodies in the airway of children by nonmedical personnel]. Anaesthesist [Internet]. 2021 Apr;70(4):333–9. Available from: http://doi.org/10.1007/s00101-020-00869-5
  56. Schündeln MM, Lange T, Knoll M, Spix C, Brenner H, Bozorgmehr K, et al. Methods of spatial cluster detection in rare childhood cancers: Benchmarking data and results from a simulation study on nephroblastoma. Data Br [Internet]. 2021;34:106683. Available from: http://www.ncbi.nlm.nih.gov/pubmed/33426242
  57. Schündeln MM, Lange T, Knoll M, Spix C, Brenner H, Bozorgmehr K, et al. Statistical methods for spatial cluster detection in childhood cancer incidence: A simulation study. Cancer Epidemiol [Internet]. 2021;70:101873. Available from: http://www.ncbi.nlm.nih.gov/pubmed/33360605
  58. Skertich NJ, Grunvald MW, Sullivan GA, Rossini C, Pillai S, Madonna MB, et al. Silo placement in gastroschisis: A pilot study of simulation-based training for general surgery residents. J Pediatr Surg [Internet]. 2021;56(10):1728–31. Available from: http://doi.org/10.1016/j.jpedsurg.2020.09.063
  59. Skertich NJ, Schimpke SW, Lee T, Wiegmann AL, Pillai S, Rossini C, et al. Pediatric Surgery Simulation-Based Training for the General Surgery Resident. J Surg Res [Internet]. 2020; Available from: http://www.ncbi.nlm.nih.gov/pubmed/32561030
  60. Spin-Neto R, Matzen LH, Hermann L, Fuglsig JM de CES, Wenzel A. Head motion and perception of discomfort by young children during simulated CBCT examinations. Dentomaxillofac Radiol [Internet]. 2020;20200445. Available from: https://doi.org/10.1259/dmfr.20200445
  61. Stagnaro N, Trocchio G, Torre M, Rizzo F, Martucciello G, Marasini M. Cardiovascular MRI assessment of pectus excavatum in pediatric patients and postoperative simulation using vacuum bell. J Pediatr Surg [Internet]. 2020; Available from: http://www.ncbi.nlm.nih.gov/pubmed/33256973
  62. Stunden C, Stratton K, Zakani S, Jacob J. Comparing a Virtual Reality-Based Simulation App (VR-MRI) With a Standard Preparatory Manual and Child Life Program for Improving Success and Reducing Anxiety During Pediatric Medical Imaging: Randomized Clinical Trial. J Med Internet Res [Internet]. 2021;23(9):e22942. Available from: http://doi.org/10.2196/22942
  63. Suvorov V, Filipchuk V, Mazevich V, Suvorov L. Simulation of pelvic osteotomies applied for DDH treatment in pediatric patients using piglet models. Adv Clin Exp Med [Internet]. 2021; Available from: http://doi.org/10.17219/acem/140548
  64. Tan S, Kermasson L, Hilcenko C, Kargas V, Traynor D, Boukerrou AZ, et al. Somatic genetic rescue of a germline ribosome assembly defect. Nat Commun [Internet]. 2021;12(1):5044. Available from: http://doi.org/10.1038/s41467-021-24999-5
  65. Umoren R, Bucher S, Hippe DS, Ezenwa BN, Fajolu IB, Okwako FM, et al. eHBB: a randomised controlled trial of virtual reality or video for neonatal resuscitation refresher training in healthcare workers in resource-scarce settings. BMJ Open [Internet]. 2021;11(8):e048506. Available from: http://doi.org/10.1136/bmjopen-2020-048506
  66. van Paridon K, Timmis MA, Sadeghi Esfahlani S. Development and Evaluation of a Virtual Environment to Assess Cycling Hazard Perception Skills. Sensors (Basel) [Internet]. 2021;21(16). Available from: http://doi.org/10.3390/s21165499
  67. Vergari C, Gaume M, Persohn S, Miladi L, Skalli W. From in vitro evaluation of a finite element model of the spine to in silico comparison of spine instrumentations. J Mech Behav Biomed Mater [Internet]. 2021;123:104797. Available from: http://doi.org/10.1016/j.jmbbm.2021.104797
  68. Verkleij ML, Heijnsdijk EAM, Bussé AML, Carr G, Goedegebure A, Mackey AR, et al. Cost-Effectiveness of Neonatal Hearing Screening Programs: A Micro-Simulation Modeling Analysis. Ear Hear [Internet]. 2021;42(4):909–16. Available from: http://doi.org/10.1097/AUD.0000000000000981
  69. Verma S, Razzaque MA, Sangtongdee U, Arpnikanondt C, Tassaneetrithep B, Arthan D, et al. Hand, Foot, and Mouth Disease in Thailand: A Comprehensive Modelling of Epidemic Dynamics. Comput Math Methods Med [Internet]. 2021;2021:6697522. Available from: http://doi.org/10.1155/2021/6697522
  70. Wagner M, Jaki C, Löllgen RM, Mileder L, Eibensteiner F, Ritschl V, et al. Readiness for and Response to Coronavirus Disease 2019 Among Pediatric Healthcare Providers: The Role of Simulation for Pandemics and Other Disasters. Pediatr Crit Care Med [Internet]. 2021;22(6):e333–8. Available from: http://doi.org/10.1097/PCC.0000000000002649
  71. Wang K, Jiang K, Wei X, Li Y, Wang T, Song Y. Physiologically Based Pharmacokinetic Models Are Effective Support for Pediatric Drug Development. AAPS PharmSciTech [Internet]. 2021;22(6):208. Available from: http://doi.org/10.1208/s12249-021-02076-w
  72. Wasmann RE, Svensson EM, Walker AS, Clements MN, Denti P. Constructing a representative in-silico population for paediatric simulations: Application to HIV-positive African children. Br J Clin Pharmacol [Internet]. 2020;87(7):2847–54. Available from: http://doi.org/10.1111/bcp.14694
  73. Weser VU, Duncan LR, Sands BE, Schartmann A, Jacobo S, François B, et al. Evaluation of a virtual reality E-cigarette prevention game for adolescents. Addict Behav [Internet]. 2021;122:107027. Available from: http://doi.org/10.1016/j.addbeh.2021.107027
  74. Weston J, Kimble LP, Kaplan B, Dryer A. An Innovative Educational Approach Integrating Simulation, Classroom, and Clinical Practice for Teaching Pediatric Nursing. Nurse Educ [Internet]. 2020; Available from: http://www.ncbi.nlm.nih.gov/pubmed/32530899
  75. Wong J, Kalaniti K, Castaldo M, Whyte H, Lee K-S, Schroff M, et al. Utilizing Simulation to Identify Latent Safety Threats During Neonatal Magnetic Resonance Imaging Procedure. Simul Healthc [Internet]. 2021;16(3):170–6. Available from: http://doi.org/10.1097/SIH.0000000000000479
  76. Yang S-Y. Effectiveness of neonatal emergency nursing education through simulation training: Flipped learning based on Tanner’s Clinical Judgement Model. Nurs Open [Internet]. 2021; Available from: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/nop2.748
  77. Zeuwts LHRH, Iliano E, Smith M, Deconinck F, Lenoir M. Mental fatigue delays visual search behaviour in young cyclists when negotiating complex traffic situations: A study in virtual reality. Accid Anal Prev [Internet]. 2021;161:106387. Available from: http://doi.org/10.1016/j.aap.2021.106387









I am a UK-trained Neonatologist working in Starship NICU in Auckland, New Zealand. I am a member of the Douglas Starship Simulation faculty and lead the simulation programmer in NICU. My key simulation interests include education, communication and patient safety. I have been an active member of IPSS since 2011, member of the Education Committee since 2012, am a past Co-Chair of the Education Committee (2017-2018) and a current member of the Board of Directors. In collaboration with others, I established the IPSS-INSPIRE Fellowship in 2018 and am on the working group leading this initiative. My vision for IPSS is to continue to support collaborative knowledge sharing and research development in the pediatric and perinatal simulation community. My wish for IPSS is to see an increasing number of non-physician members and to support and develop the ability of those still at the early stage of simulation.



Dr. Carl Horsley

Intensivist, Counties Manukau Health, Auckland, New Zealand

Clinical Lead for Patient Safety, Health Quality and Safety Commission, New Zealand

Dr. Carl Horsley dual trained in Emergency Medicine and Intensive Care, and works clinically in the Critical Care Complex of Middlemore Hospital in Auckland, New Zealand. As part of his work there, he developed an in-situ simulation program specifically focused on building the adaptive capacity of the ICU team. This was put to the test in the Whakaari volcanic eruption with Middlemore being the national burns centre responding to a mass casualty event.

Carl is currently completing an MSc in Human Factors and System Safety at Lund University, Sweden with a thesis focusing on the sociology of safety.  He is also part of the Resilient Healthcare Society which is an international collaboration exploring the implications of resilience engineering in healthcare. As Clinical Lead for Patient Safety at the Health Quality Safety Commission, Carl is also involved in developing innovative approaches that support “work-as-done” by frontline to improve both patient care and staff wellbeing. He has published several book chapters on resilient healthcare and presented widely on the topic.


Dr. Andrew Petrosoniak

Emergency Physician & Trauma Team Leader, Assistant Professor

St. Michael’s Hospital and University of Toronto

Following an unsuccessful career as an intramural basketball player, Dr. Petrosoniak now works as an emergency physician and trauma team leader at St. Michael’s Hospital. He’s an assistant professor at the University of Toronto and an associate scientist at the Li Ka Shing Knowledge Institute. He’s the lead for translational simulation at St. Michael’s Hospital which involves the application of simulation techniques to identify issues and support the design of solutions related to healthcare delivery and improving health service outcomes.

More accurately, he seeks to reduce the number of F-bombs by providers linked to poor system/space design in healthcare. He also applies this work in the private sector as the co-founder of Advanced Performance Healthcare Design, a design and consulting firm that uses multi-modal simulation techniques to inform the design of clinical infrastructure, equipment and high performing teams.




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