This paper is in the following e-collection/theme issue:

Design and Formative Evaluation of Mobile Apps (661) Innovations in Cardiopulmonary Resuscitation (31) Mobile Apps for Cardiology (127) Pediatrics (121)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19070, first published .
Development and Usability of a Novel Interactive Tablet App (PediAppRREST) to Support the Management of Pediatric Cardiac Arrest: Pilot High-Fidelity Simulation-Based Study

Development and Usability of a Novel Interactive Tablet App (PediAppRREST) to Support the Management of Pediatric Cardiac Arrest: Pilot High-Fidelity Simulation-Based Study

Development and Usability of a Novel Interactive Tablet App (PediAppRREST) to Support the Management of Pediatric Cardiac Arrest: Pilot High-Fidelity Simulation-Based Study

Authors of this article:

Francesco Corazza1 Author Orcid Image ;   Deborah Snijders1 Author Orcid Image ;   Marta Arpone1 Author Orcid Image ;   Valentina Stritoni2 Author Orcid Image ;   Francesco Martinolli1 Author Orcid Image ;   Marco Daverio2 Author Orcid Image ;   Maria Giulia Losi3 Author Orcid Image ;   Luca Soldi3 Author Orcid Image ;   Francesco Tesauri3 Author Orcid Image ;   Liviana Da Dalt1 Author Orcid Image ;   Silvia Bressan1 Author Orcid Image
Article Authors Cited by (13) Tweetations (1) Metrics

Journals

  1. Schmucker M, Haag M. Automated Size Recognition in Pediatric Emergencies Using Machine Learning and Augmented Reality: Within-Group Comparative Study. JMIR Formative Research 2021;5(9):e28345 View
  2. Corazza F, Stritoni V, Martinolli F, Daverio M, Binotti M, Genoni G, Ingrassia P, De Luca M, Palmas G, Maccora I, Frigo A, Da Dalt L, Bressan S. Adherence to guideline recommendations in the management of pediatric cardiac arrest: a multicentre observational simulation-based study. European Journal of Emergency Medicine 2022;29(4):271 View
  3. Corazza F, Fiorese E, Arpone M, Tardini G, Frigo A, Cheng A, Da Dalt L, Bressan S. The impact of cognitive aids on resuscitation performance in in-hospital cardiac arrest scenarios: a systematic review and meta-analysis. Internal and Emergency Medicine 2022;17(7):2143 View
  4. Corazza F, Arpone M, Snijders D, Cheng A, Stritoni V, Ingrassia P, De Luca M, Tortorolo L, Frigo A, Da Dalt L, Bressan S. PediAppRREST: effectiveness of an interactive cognitive support tablet app in reducing deviations from guidelines in the management of paediatric cardiac arrest: protocol for a simulation-based randomised controlled trial. BMJ Open 2021;11(7):e047208 View
  5. Watkins S, de Oliveira Filho G, Furse C, Muffly M, Ramamurthi R, Redding A, Maass B, McEvoy M. The Effect of Novel Decision Support Tools on Technical and Non-Technical Performance of Teams in Managing Emergencies. Journal of Medical Systems 2022;46(11) View
  6. Blattgerste J, Behrends J, Pfeiffer T. TrainAR: An Open-Source Visual Scripting-Based Authoring Tool for Procedural Mobile Augmented Reality Trainings. Information 2023;14(4):219 View
  7. Kardaş Özdemir F, Kesgin Güngör M, Cici A. Comparison of video-assisted education and traditional classroom education in pediatric cardiopulmonary resuscitation education of nursing students. Journal of Pediatric Nursing 2023;73:e388 View
  8. Gu H, Perl J, Rhine W, Yamada N, Sherman J, McMillin A, Halamek L, Wall J, Fuerch J. A Novel Method for Administering Epinephrine during Neonatal Resuscitation. American Journal of Perinatology 2024;41(S 01):e1850 View
  9. Wohlgemut J, Pisirir E, Kyrimi E, Stoner R, Marsh W, Perkins Z, Tai N. Methods used to evaluate usability of mobile clinical decision support systems for healthcare emergencies: a systematic review and qualitative synthesis. JAMIA Open 2023;6(3) View
  10. Corazza F, Arpone M, Tardini G, Stritoni V, Mormando G, Graziano A, Navalesi P, Fiorese E, Portalone S, De Luca M, Binotti M, Tortorolo L, Salvadei S, Nucci A, Monzani A, Genoni G, Bazo M, Cheng A, Frigo A, Da Dalt L, Bressan S. Effectiveness of a Novel Tablet Application in Reducing Guideline Deviations During Pediatric Cardiac Arrest. JAMA Network Open 2023;6(8):e2327272 View
  11. Benguigui L, Le Gouzouguec S, Balanca B, Ristovski M, Putet G, Butin M, Guillois B, Beissel A. A Customizable Digital Cognitive Aid for Neonatal Resuscitation. Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare 2024 View
  12. Liu C, Yang C, Lockey A, Greif R, Cheng A. Factors influencing workload and stress during resuscitation – A scoping review. Resuscitation Plus 2024;18:100630 View

Books/Policy Documents

  1. Kostopoulos A, Chochliouros I, Aho M, Vicini S, Foltz C, Koval A, Pagliari E, Nikolakopoulos G, Happonen A, Panagiotou C, Karadimas D, Karadima K, Spiliopoulou A, Zaroliagis C. Artificial Intelligence Applications and Innovations. AIAI 2024 IFIP WG 12.5 International Workshops. View