Published on in Vol 16, No 3 (2014): March

Smartphone Apps for Cardiopulmonary Resuscitation Training and Real Incident Support: A Mixed-Methods Evaluation Study

Smartphone Apps for Cardiopulmonary Resuscitation Training and Real Incident Support: A Mixed-Methods Evaluation Study

Smartphone Apps for Cardiopulmonary Resuscitation Training and Real Incident Support: A Mixed-Methods Evaluation Study

Journals

  1. Elliot Srither D, Lateef F. A novel CPR training method using a smartphone app. Journal of Acute Disease 2016;5(6):517 View
  2. Zhang M, Tsang T, Cheow E, Ho C, Ho R. Enabling Psychiatrists to be Mobile Phone App Developers: Insights Into App Development Methodologies. JMIR mHealth and uHealth 2014;2(4):e53 View
  3. Sakai T, Kitamura T, Nishiyama C, Murakami Y, Ando M, Kawamura T, Tasaki O, Kuwagata Y, Shimazu T, Iwami T. Cardiopulmonary Resuscitation Support Application on a Smartphone – Randomized Controlled Trial –. Circulation Journal 2015;79(5):1052 View
  4. Metelmann B, Metelmann C, Schuffert L, Hahnenkamp K, Brinkrolf P. Medical Correctness and User Friendliness of Available Apps for Cardiopulmonary Resuscitation: Systematic Search Combined With Guideline Adherence and Usability Evaluation. JMIR mHealth and uHealth 2018;6(11):e190 View
  5. Fernández-Méndez F, Barcala-Furelos R, Otero-Agra M, Fernández-Méndez M, Santos-Folgar M, Rodríguez-Núñez A. Evaluation of the thoracic compression technique using APPs. Do they help or hinder cardiopulmonary resuscitation?. Medicina Intensiva (English Edition) 2020;44(2):72 View
  6. Sarkar J, Sarkar A. Young adult consumers’ involvement in branded smartphone based service apps. Information Technology & People 2019;32(6):1608 View
  7. Müller S, Lauridsen K, Palic A, Frederiksen L, Mathiasen M, Løfgren B. Mobile App Support for Cardiopulmonary Resuscitation: Development and Usability Study. JMIR mHealth and uHealth 2021;9(1):e16114 View
  8. Onan A, Turan S, Elcin M, Erbil B, Bulut Ş. The effectiveness of traditional Basic Life Support training and alternative technology‐enhanced methods in high schools. Hong Kong Journal of Emergency Medicine 2019;26(1):44 View
  9. Perkins G, Lockey A, de Belder M, Moore F, Weissberg P, Gray H. National initiatives to improve outcomes from out-of-hospital cardiac arrest in England. Emergency Medicine Journal 2016;33(7):448 View
  10. Suet G, Blanie A, de Montblanc J, Roulleau P, Benhamou D. External Cardiac Massage Training of Medical Students: A Randomized Comparison of Two Feedback Methods to Standard Training. The Journal of Emergency Medicine 2020;59(2):270 View
  11. Ibrahim N, Jalood N, Baqer M, Nidhal S, Almahdi E, Alaa M, Hammed H, Zaidan A, Zaidan B, Albahri O, Alsalem M, Mohammed R, Jasim A, Shareef A. Multi-Criteria Evaluation and Benchmarking for Young Learners’ English Language Mobile Applications in Terms of LSRW Skills. IEEE Access 2019;7:146620 View
  12. Márquez-Hernández V, Gutiérrez-Puertas L, Garrido-Molina J, García-Viola A, Granados-Gámez G, Aguilera-Manrique G. Using a Mobile Phone Application Versus Telephone Assistance During Cardiopulmonary Resuscitation: A Randomized Comparative Study. Journal of Emergency Nursing 2020;46(4):460 View
  13. Alamoodi A, Garfan S, Zaidan B, Zaidan A, Shuwandy M, Alaa M, Alsalem M, Mohammed A, Aleesa A, Albahri O, Al-Hussein W, Alobaidi O. A systematic review into the assessment of medical apps: motivations, challenges, recommendations and methodological aspect. Health and Technology 2020;10(5):1045 View
  14. Hase M. Quality of Bystander Cardiopulmonary Resuscitation – Can a Smartphone Bring About a Revolution? –. Circulation Journal 2015;79(5):964 View
  15. Ahn C, Cho Y, Oh J, Song Y, Lim T, Kang H, Lee J. Evaluation of Smartphone Applications for Cardiopulmonary Resuscitation Training in South Korea. BioMed Research International 2016;2016:1 View
  16. Lauridsen K, Nadkarni V, Berg R. Man and machine: can apps resuscitate medical performance?. The Lancet Child & Adolescent Health 2019;3(5):282 View
  17. Fiordelli M, Zanini C, Amann J, Scheel-Sailer A, Brach M, Stucki G, Rubinelli S. Selecting Evidence-Based Content for Inclusion in Self-Management Apps for Pressure Injuries in Individuals With Spinal Cord Injury: Participatory Design Study. JMIR mHealth and uHealth 2020;8(5):e15818 View
  18. Kleinman M, Perkins G, Bhanji F, Billi J, Bray J, Callaway C, de Caen A, Finn J, Hazinski M, Lim S, Maconochie I, Morley P, Nadkarni V, Neumar R, Nikolaou N, Nolan J, Reis A, Sierra A, Singletary E, Soar J, Stanton D, Travers A, Welsford M, Zideman D. ILCOR Scientific Knowledge Gaps and Clinical Research Priorities for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care: A Consensus Statement. Circulation 2018;137(22) View
  19. Liew M, Zhang J, See J, Ong Y. Usability Challenges for Health and Wellness Mobile Apps: Mixed-Methods Study Among mHealth Experts and Consumers. JMIR mHealth and uHealth 2019;7(1):e12160 View
  20. Subhi Y, Bube S, Rolskov Bojsen S, Skou Thomsen A, Konge L. Expert Involvement and Adherence to Medical Evidence in Medical Mobile Phone Apps: A Systematic Review. JMIR mHealth and uHealth 2015;3(3):e79 View
  21. Chib A, Lin S. Theoretical Advancements in mHealth: A Systematic Review of Mobile Apps. Journal of Health Communication 2018;23(10-11):909 View
  22. Hussain M, Al-Haiqi A, Zaidan A, Zaidan B, Kiah M, Anuar N, Abdulnabi M. The landscape of research on smartphone medical apps: Coherent taxonomy, motivations, open challenges and recommendations. Computer Methods and Programs in Biomedicine 2015;122(3):393 View
  23. Bhattarai P, Newton-John T, Phillips J. Quality and Usability of Arthritic Pain Self-Management Apps for Older Adults: A Systematic Review. Pain Medicine 2018;19(3):471 View
  24. Chan N, Mistry N, Campbell D. A Simulation-Based Pilot Study of a Mobile Application (NRP Prompt) as a Cognitive Aid for Neonatal Resuscitation Training. Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare 2019;14(3):146 View
  25. Meinich-Bache Ø, Engan K, Birkenes T, Myklebust H. Real-Time Chest Compression Quality Measurements by Smartphone Camera. Journal of Healthcare Engineering 2018;2018:1 View
  26. Eapen B, Chapman B. Mobile Access to ClinicalConnect: A User Feedback Survey on Usability, Productivity, and Quality. JMIR mHealth and uHealth 2015;3(2):e35 View
  27. Fijacko N, Brzan P, Stiglic G. Mobile Applications for Type 2 Diabetes Risk Estimation: a Systematic Review. Journal of Medical Systems 2015;39(10) View
  28. Boussen S, Ibouanga-Kipoutou H, Fournier N, Raboutet Y, Llari M, Bruder N, Arnoux P, Behr M. Using an inertial navigation algorithm and accelerometer to monitor chest compression depth during cardiopulmonary resuscitation. Medical Engineering & Physics 2016;38(9):1028 View
  29. Engan K, Hinna T, Ryen T, Birkenes T, Myklebust H. Chest compression rate measurement from smartphone video. BioMedical Engineering OnLine 2016;15(1) View
  30. Kleinman M, Perkins G, Bhanji F, Billi J, Bray J, Callaway C, de Caen A, Finn J, Hazinski M, Lim S, Maconochie I, Morley P, Nadkarni V, Neumar R, Nikolaou N, Nolan J, Reis A, Sierra A, Singletary E, Soar J, Stanton D, Travers A, Welsford M, Zideman D. ILCOR Scientific Knowledge Gaps and Clinical Research Priorities for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care: A Consensus Statement. Resuscitation 2018;127:132 View
  31. Fernández-Méndez F, Barcala-Furelos R, Otero-Agra M, Fernández-Méndez M, Santos-Folgar M, Rodríguez-Núñez A. Evaluación sobre la técnica de compresiones torácicas usando APP. ¿Ayudan o entorpecen la reanimación cardiopulmonar?. Medicina Intensiva 2020;44(2):72 View
  32. Abdulhay N, Totolos K, McGovern S, Hewitt N, Bhardwaj A, Buckler D, Leary M, Abella B. Socioeconomic disparities in layperson CPR training within a large U.S. city. Resuscitation 2019;141:13 View
  33. Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen L, Couderc J, Cronin E, Estep J, Grieten L, Lane D, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov P, Ribeiro A, Rich R, Russo A, Slotwiner D, Steinberg J, Svennberg E. 2021 ISHNE/HRS/EHRA/APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals. Cardiovascular Digital Health Journal 2021;2(1):4 View
  34. Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen L, Couderc J, Cronin E, Estep J, Grieten L, Lane D, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov P, Ribeiro A, Rich R, Russo A, Slotwiner D, Steinberg J, Svennberg E. 2021 ISHNE/HRS/EHRA/APHRS Expert Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia-Pacific Heart Rhythm Society. Circulation: Arrhythmia and Electrophysiology 2021;14(2) View
  35. Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen L, Couderc J, Cronin E, Estep J, Grieten L, Lane D, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov P, Ribeiro A, Rich R, Russo A, Slotwiner D, Steinberg J, Svennberg E. 2021 ISHNE/HRS/EHRA/APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals. Journal of Arrhythmia 2021;37(2):271 View
  36. Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen L, Couderc J, Cronin E, Estep J, Grieten L, Lane D, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov P, Ribeiro A, Rich R, Russo A, Slotwiner D, Steinberg J, Svennberg E. 2021 ISHNE/ HRS/ EHRA/ APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals. Annals of Noninvasive Electrocardiology 2021;26(2) View
  37. Gutiérrez-Puertas L, García-Viola A, Márquez-Hernández V, Garrido-Molina J, Granados-Gámez G, Aguilera-Manrique G. Guess it (SVUAL): An app designed to help nursing students acquire and retain knowledge about basic and advanced life support techniques. Nurse Education in Practice 2021;50:102961 View
  38. Watson P, Watson D, Dhesi A, New H, Davidson A, Armstrong R, Birchall J. Improving blood‐prescribing decisions: Evaluating the efficacy of a blood guidelines app. Transfusion Medicine 2020;30(6):485 View
  39. Varma N, Cygankiewicz I, Turakhia M, Heidbuchel H, Hu Y, Chen L, Couderc J, Cronin E, Estep J, Grieten L, Lane D, Mehra R, Page A, Passman R, Piccini J, Piotrowicz E, Piotrowicz R, Platonov P, Ribeiro A, Rich R, Russo A, Slotwiner D, Steinberg J, Svennberg E. 2021 ISHNE / HRS / EHRA / APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals. European Heart Journal - Digital Health 2021;2(1):7 View
  40. Metelmann C, Metelmann B, Schuffert L, Hahnenkamp K, Vollmer M, Brinkrolf P. Smartphone apps to support laypersons in bystander CPR are of ambivalent benefit: a controlled trial using medical simulation. Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 2021;29(1) View
  41. Arif A, Arif A, Fasciglione K, Jafri F. The Iterative Development and Testing of an Interactive Mobile Application for Skill Retention of Cardiopulmonary Resuscitation Among High School Students: A Pilot Study. Simulation & Gaming 2021;52(5):650 View
  42. Fijačko N, Masterson Creber R, Gosak L, Štiglic G, Egan D, Chaka B, Debeljak N, Strnad M, Skok P. Evaluating Quality, Usability, Evidence-Based Content, and Gamification Features in Mobile Learning Apps Designed to Teach Children Basic Life Support: Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2021;9(7):e25437 View
  43. Lins C, Friedrich B, Hein A, Fudickar S. An evolutionary approach to continuously estimate CPR quality parameters from a wrist-worn inertial sensor. Health and Technology 2022;12(1):161 View
  44. Allan K, O’Neil E, Currie M, Lin S, Sapp J, Dorian P. Responding to Cardiac Arrest in the Community in the Digital Age. Canadian Journal of Cardiology 2022;38(4):491 View
  45. Hyzy M, Bond R, Mulvenna M, Bai L, Dix A, Leigh S, Hunt S. System Usability Scale Benchmarking for Digital Health Apps: Meta-analysis. JMIR mHealth and uHealth 2022;10(8):e37290 View
  46. Marsh-Armstrong B, Seng E, Ting-Wei F, Saka S, Greenberg M. Effectiveness of rescue Me CPR! smartphone app providing real-time guidance to untrained bystanders performing CPR. Heliyon 2023;9(10):e20908 View
  47. Wu Y, Wang X, Gao F, Liao J, Zeng J, Fan L. Mobile nutrition and health management platform for perioperative recovery: an interdisciplinary research achievement using WeChat Applet. Frontiers in Medicine 2023;10 View
  48. Liu P, Li X, Zhang X. Healthcare professionals’ and patients’ assessments of listed mobile health apps in China: a qualitative study. Frontiers in Public Health 2023;11 View
  49. Cheng P, Huang Y, Yang P, Wang H, Xu B, Qu C, Zhang H. The effects of serious game on cardiopulmonary resuscitation training and education:Systematic Review With Meta-Analysis of Randomized Controlled Trials (Preprint). JMIR Serious Games 2023 View
  50. Narayanan K, Loganathan S, Lochan B, Mahalingam D. RESUSC-O: A Community Cardiopulmonary–Cerebral Resuscitation Provider App. Journal of Medical Evidence 2024;5(1):84 View
  51. Fijačko N, Masterson Creber R, Metličar Š, Strnad M, Greif R, Štiglic G, Skok P. Effects of a Serious Smartphone Game on Nursing Students' Theoretical Knowledge and Practical Skills in Adult Basic Life Support: Randomized Wait List–Controlled Trial. JMIR Serious Games 2024;12:e56037 View
  52. Wingen S, Großfeld N, Adams N, Streit A, Stock J, Böttiger B, Wetsch W. Do laypersons need App-linked real-time feedback devices for effective resuscitation? – Results of a prospective, randomised simulation trial. Resuscitation Plus 2024;18:100631 View

Books/Policy Documents

  1. Brinkrolf P, Metelmann C, Metelmann B. Herausforderung Notfallmedizin. View
  2. Trede F, Markauskaite L, McEwen C, Macfarlane S. Education for Practice in a Hybrid Space. View
  3. Breckwoldt J. Herausforderung Notfallmedizin. View