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Journals / Anatolian Journal of Emergency Medicine / 2025 / Cilt: 8 Sayı: 4

The Effect of Visual Feedback Simulator on CPR Quality Parameters: A Paramedic Example

Görsel Geri Bildirim Simülatörünün KPR Kalite Parametrelerine Etkisi: Paramedik Örneği

Yeliz Şapulu Alakan(BURSA ULUDAĞ ÜNİVERSİTESİ, İNEGÖL MESLEK YÜKSEKOKULU, TIBBİ HİZMETLER VE TEKNİKLER BÖLÜMÜ)0000-0003-4140-7141
Derya Aslan Huyar(BURSA ULUDAĞ ÜNİVERSİTESİ, SAĞLIK HİZMETLERİ MESLEK YÜKSEKOKULU, TIBBİ HİZMETLER VE TEKNİKLER BÖLÜMÜ)0000-0003-2916-7907
Pages
177–181
Publication Date
2025-12-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

These findings highlight the importance of integrating feedback mechanisms into the CPR training curriculum.

📌 3 Key Takeaways

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Objective & Hypothesis:Aim: To evaluate the effect of visual feedback on the quality of cardiopulmonary resuscitation (CPR) in Basic Life Support applications by paramedic students.
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Key Findings & Data:Material and Methods: This was a single-group, repeated-measures, quasi-experimental simulation study conducted with 107 first-year Emergency Medical Services Program students at a university in Turkey.
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Conclusion & Impact:These findings highlight the importance of integrating feedback mechanisms into the CPR training curriculum.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Görsel geri bildirim · kardiyopulmoner resüsitasyon · simülasyon

Abstract

Aim: To evaluate the effect of visual feedback on the quality of cardiopulmonary resuscitation (CPR) in Basic Life Support applications by paramedic students. Material and Methods: This was a single-group, repeated-measures, quasi-experimental simulation study conducted with 107 first-year Emergency Medical Services Program students at a university in Turkey. A CPR training manikin providing instant visual feedback was used. Participants first performed 2-minute CPR sessions with feedback turned off, then with feedback turned on. The evaluation data from both performances, recorded in the mobile application, were analyzed using IBM SPSS Statistics 29.0 software. Results: When visual feedback was turned on, the accuracy of chest compression rate increased significantly (from 85.55% to 97.09%). The main reason for this increase was suggested as a significant improvement in the accurate compression rate (from 78.57% to 96.86%) and a decrease in the average CPR hands-off time (from 14.77 seconds to 12.32 seconds). However, feedback had no significant effect on the accuracy of the depth ratio, compression depth (mm), and decompression sensitivity. Conclusion: Simultaneous visual feedback systems offer significant benefits in acquiring quality CPR skills by enabling students to instantly correct their CPR skills and providing objective performance assessment. These findings highlight the importance of integrating feedback mechanisms into the CPR training curriculum.

Özet

Amaç: Paramedik öğrencilerinin Temel Yaşam Desteği uygulamalarında görsel geri bildirimin, kardiyopulmoner resüsitasyon (KPR) kalitesi üzerindeki etkisini değerlendirmektir. Gereç ve Yöntemler: Bu çalışma Türkiye'de bir üniversitede öğrenim gören 107 birinci sınıf İlk ve Acil Yardım Programı öğrencisiyle gerçekleştirilen tek grup, tekrarlı ölçümlerle yürütülen yarı deneysel simülasyon çalışmasıdır. Anlık görsel geri bildirim sağlayan bir KPR eğitim mankeni kullanıldı. Katılımcılar, önce geri bildirim kapalıyken, ardından geri bildirim açıkken 2'şer dakikalık KPR uyguladılar. Mobil uygulamada kaydedilen her iki uygulamaya ait değerlendirme verileri IBM SPSS 29.0 programı kullanılarak analiz edildi. Bulgular: Görsel geri bildirimin açık olduğu durumlarda, doğru göğüs kompresyon oranı anlamlı düzeyde arttı (%85,55'ten %97,09'a). Bu artışın temel nedeni, doğru kompresyon hız oranındaki önemli iyileşme (%78,57'den %96,86'ya) ve ortalama KPR kesinti süresindeki düşüş (14,77 saniyeden 12,32 saniyeye) olarak belirlendi. Ancak, geri bildirimin doğru derinlik oranı, kompresyon derinliği (mm) ve dekompresyon hassasiyeti üzerinde anlamlı bir etkisi bulunmadı. Sonuç: Eş zamanlı görsel geri bildirim sistemleri, öğrencilerin KPR becerilerini anında düzeltmelerine ve objektif performans değerlendirmesi sağlamalarına olanak tanıyarak kaliteli KPR becerileri kazanmada önemli faydalar sunmaktadır. Bu bulgular, geri bildirim mekanizmalarının KPR eğitim müfredatına entegre edilmesinin önemini ortaya koymaktadır.

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Cite This Article

Alakan, Y. Ş., Huyar, D. A. (2025). The Effect of Visual Feedback Simulator on CPR Quality Parameters: A Paramedic Example. Anatolian Journal of Emergency Medicine, Cilt: 8 Sayı: 4, 177–181. https://doi.org/10.54996/anatolianjem.1756378

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References (26)

  1. Wong CX, Brown A, Lau DH, et al. Epidemiology of sudden cardiac death: global and regional perspectives. Heart Lung Circ. 2019;28:6 14, doi:10.1016/j.hlc.2018.08.026.
  2. Nolan JP, Berg RA, Callaway CW, et al. The present and future of cardiac arrest care: international experts reach out to caregivers and healthcare authorities. Intensive Care Med 2018;44:82332, doi:10.1007/s00134-018-5230-9.
  3. Magid DJ, Aziz K, Cheng A, et al. Part 2: Evidence Evaluation and Guidelines Development: 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation. 2020;142(16_suppl_2):S358-S365. doi:10.1161/CIR.0000000000000898.
  4. Perkins GD, Graesner JT, Semeraro F, et al. European Resuscitation Council Guidelines 2021: Executive summary. Resuscitation. 2021;161:1-60. doi:10.1016/j.resuscitation.2021.02.003.
  5. Olasveengen TM, Semeraro F, Ristagno G, et al. European Resuscitation Council Guidelines 2021: Basic Life Support. Resuscitation. 2021;161:98-114. doi:10.1016/j.resuscitation.2021.02.009.
  6. Greif R, Lockey A, Breckwoldt J, et al. European Resuscitation Council Guidelines 2021: Education for resuscitation. Resuscitation. 2021;161:388-407. doi:10.1016/j.resuscitation.2021.02.016.
  7. Misztal-Okońska P, Goniewicz K, Goniewicz M, et al. Importance of Immediate Electronic-Based Feedback to Enhance Feedback for FirstTime CPR Trainees. Int J Environ Res Public Health. 2021;18(8):3885. Published 2021 Apr 7. doi:10.3390/ijerph18083885.
  8. Augusto JB, Santos MB, Faria D, et al. Real-Time Visual Feedback Device Improves Quality Of Chest Compressions: A Manikin Study. Bull Emerg Trauma. 2020;8(3):135-141. doi:10.30476/BEAT.2020.83080.
  9. Cheng A, Overly F, Kessler D, et al. Perception of CPR quality: Influence of CPR feedback, Just-in-Time CPR training and provider role. Resuscitation. 2015;87:44-50. doi:10.1016/j.resuscitation.2014.11.015.
  10. Vadeboncoeur T, Stolz U, Panchal A, et al. Chest compression depth and survival in out-of-hospital cardiac arrest. Resuscitation. 2014;85(2):182-188. doi:10.1016/j.resuscitation.2013.10.002.
  11. Lerner EB, Rea TD, Bobrow BJ, et al. Emergency medical service dispatch cardiopulmonary resuscitation prearrival instructions to improve survival from out-of-hospital cardiac arrest: a scientific statement from the American Heart Association. Circulation. 2012;125(4):648-655. doi:10.1161/CIR.0b013e31823ee5fc.
  12. Şener A, Pekdemir M, İslam MM, et al. Prospective, multicenter, Turkish out-of-hospital cardiac arrest study: TROHCA. Turk J Emerg Med. 2024;24(3):133-144. Published 2024 Jul 1. doi:10.4103/tjem.tjem_73_24.
  13. Hirakawa A, Hatakeyama T, Kobayashi D, et al. Real-time feedback, debriefing, and retraining system of cardiopulmonary resuscitation for out-of-hospital cardiac arrests: a study protocol for a cluster parallelgroup randomized controlled trial. Trials. 2018;19(1):510. Published 2018 Sep 20. doi:10.1186/s13063-018-2852-8
  14. Sağlık meslek mensupları ile sağlık hizmetlerinde çalışan diğer meslek mensuplarının iş ve görev tanımlarına dair yönetmelik. Resmî Gazete Tarihi: 22.05.2014, Resmî Gazete Sayısı: 29007 (Değişik:RG20/11/2021-31665. https://www.mevzuat.gov.tr/mevzuat?Mevzuat No=19696&MevzuatT ur=7&MevzuatTertip=5 Erişim tarihi 08 Mayıs 2025.
  15. Ghaderi MS, Malekzadeh J, Mazloum S, Pourghaznein T. Comparison of real-time feedback and debriefing by video recording on basic life support skill in nursing students. BMC Med Educ. 2023;23(1):62. Published 2023 Jan 25. doi:10.1186/s12909-022-03951-1.
  16. Lee PH, Lai HY, Hsieh TC, Wu WR. Using real-time device-based visual feedback in CPR recertification programs: A prospective randomised controlled study. Nurse Educ Today. 2023;124:105755. doi:10.1016/j.nedt.2023.105755
  17. Kim Y, Han H, Lee S, Lee J. Effects of the non-contact cardiopulmonary resuscitation training using smart technology. Eur J Cardiovasc Nurs. 2021;20(8):760-766. doi:10.1093/eurjcn/zvaa030.
  18. Kong, SYJ, Song KJ, Shin SDRo, et al. Effect of real-time feedback during cardiopulmonary resuscitation training on quality of performances: a prospective cluster-randomized trial. Hong Kong Journal of Emergency Medicine, 2020;27(4):187-196. doi:10.1177/102490791882501.
  19. Iskrzycki L, Smereka J, Rodriguez-Nunez A, et al. The impact of the use of a CPRMeter monitor on quality of chest compressions: a prospective randomised trial, cross-simulation. Kardiol Pol. 2018;76(3):574-579. doi:10.5603/KP.a2017.0255.
  20. Katipoglu B, Madziala MA, Evrin T, et al. How should we teach cardiopulmonary resuscitation? Randomized multi-center study. Cardiol J. 2021;28(3):439-445. doi:10.5603/CJ.a2019.0092.
  21. Lin Y, Lockey A, Donoghue A, et al. Use of CPR feedback devices in resuscitation training: A systematic review and meta-analysis of randomized controlled trials. Resusc Plus. 2025;23:100939. Published 2025 Mar 22. doi:10.1016/j.resplu.2025.100939.
  22. Meng XY, You J, Dai LL, Yin XD, Xu JA, Wang JF. Efficacy of a Simplified Feedback Trainer for High-Quality Chest Compression Training: A Randomized Controlled Simulation Study. Front Public Health. 2021;9:675487. Published 2021 Oct 14. doi:10.3389/fpubh.2021.675487.
  23. Gugelmin-Almeida D, Tobase L, Polastri TF, Peres HHC, Timerman S. Do automated real-time feedback devices improve CPR quality? A systematic review of literature. Resusc Plus. 2021;6:100108. Published 2021 Mar 27. doi:10.1016/j.resplu.2021.100108.
  24. Jang TC, Ryoo HW, Moon S, et al. Long-term benefits of chest compression-only cardiopulmonary resuscitation training using realtime visual feedback manikins: a randomized simulation study. Clin Exp Emerg Med. 2020;7(3):206-212. doi:10.15441/ceem.20.022.
  25. Won M, Kim JH, Ahn C, Lee SY, Oh Y. Effectiveness of real-time chest compression feedback devices for individuals experienced in cardiopulmonary resuscitation: a randomized controlled simulation study. Signa Vitae, 2024(20)10:1-8. doi:10.22514/sv.2024.119.
  26. Crowe C, Bobrow BJ, Vadeboncoeur TF, et al. Measuring and improving cardiopulmonary resuscitation quality inside the emergency department. Resuscitation. 2015;93:8-13. doi:10.1016/j.resuscitation.2015.04.031.