THE EFFECT OF USING WEB-BASED ELECTROCARDIOGRAPHY SIMULATION ON RHYTHM DIAGNOSTIC SKILLS OF PARAMEDIC STUDENTS

Yıl 2022, , 182 - 186, 31.12.2022

Asli Kurtgöz , Selin Keskin

https://doi.org/10.52831/kjhs.1117060

Öz

Objective: This study was conducted to determine the effect of the use of web-based electrocardiography (ECG) simulation on paramedic students' rhythm diagnostic skills.
Method: The study was conducted as a single-group pretest-posttest design study between 02.05.2021-01.09.2021. The study group of the research consisted of students studying in the last year in the paramedical department of a university in Turkey. The data of the study were collected person-to-person using the information form and the Basic ECG Rhythm Diagnosis Form. Participants were provided online ECG training for 3 hours per week over the course of 8 weeks. One month after the training, the participants were pre-tested. After the pretest, the participants used a web-based ECG simulator for 4 weeks. Posttest was applied to the participants at the end of four weeks.
Results: It was found that the rate of correct diagnosis of all rhythms in the Diagnosis of Basic ECG Rhythms Form of the students increased after the use of a web-based simulator. It was determined that there was a significant statistical difference between the pre-test and post-test scores of the students (t:-7.476, p<0.001).
Conclusion: ECG is one of the subjects that individuals have difficulty in learning. Therefore, using different teaching methods in addition to the traditional teaching method can help facilitate ECG teaching. In this study, it was determined that the use of web-based electrocardiography simulation improved the rhythm diagnostic skills of paramedical students.

Anahtar Kelimeler

Electrocardiography, Learning, Paramedic, Students

Destekleyen Kurum

-

Proje Numarası

-

Teşekkür

-

WEB TABANLI ELEKTROKARDİYOGRAFİ SİMÜLASYONU KULLANIMININ PARAMEDİK ÖĞRENCİLERİNİN RİTİM TANILAMA BECERİLERİNE ETKİSİ

Öz

Amaç: Bu çalışma web tabanlı elektrokardiyografi (EKG) simülasyonu kullanımının paramedik öğrencilerinin ritim tanılama becerisi üzerindeki etkisi belirlemek amacıyla yapıldı.
Yöntem: Araştırma, 02.05.2021-01.09.2021 tarihleri arasında tek gruplu ön test-son test desenli çalışma olarak yürütüldü. Araştırmanın çalışma grubunu Türkiye’de bir üniversitenin paramedik bölümünde son sınıfta öğrenim gören öğrenciler oluşturdu. Araştırmanın verileri bireyi tanıtıcı bilgi formu ve Temel EKG Ritimlerini Tanılama Formu kullanılarak yüz yüze toplandı. Katılımcılara 8 hafta boyunca haftada 3 saat olmak üzere online EKG eğitimi verildi. Eğitimi takiben bir ay sonra katılımcılara ön test uygulandı. Ön test sonrası katılımcılar bir web tabanlı EKG simülatörünü 4 hafta süresince kullandı. Dört hafta sonunda katılımcılara son test uygulandı.
Bulgular: Öğrencilerin Temel EKG Ritimlerini Tanılama Formunda yer alan tüm ritimleri doğru tanılama oranlarının web tabanlı simülatör kullanımından sonra arttığı bulundu. Öğrencilerin ön test ve son test puanları arasında anlamlı düzeyde istatistiksel fark olduğu belirlendi (t:-7.476 p<0.001).
Sonuç: EKG, bireylerin öğrenmekte zorlandıkları konulardan biridir. Bu nedenle geleneksel öğretim yöntemine ek olarak farklı öğretim yöntemlerinin kullanılması EKG öğretiminin kolaylaştırılmasına yardımcı olabilir. Bu çalışmada web tabanlı elektrokardiyografi simülasyonu kullanımının paramedik öğrencilerinin ritim tanılama becerisini geliştirdiği belirlendi.

Anahtar Kelimeler

Elektrokardiyografi, Öğrenme, Paramedik, Öğrenci

Proje Numarası

-

Kaynakça

• World Health Organization (WHO). Cardiovascular diseases. https://www.who.int/health-topics/cardiovascular-diseases#tab=tab_1. Accessed: December 30 2021.
• Ardahanli I, Celik M. Comparison of Tp-e interval, QTc interval and Tp-e/QTc ratios between non-diabetic and prediabetic population. Annals of Medical Research. 2021;27(12):3117-3122.
• Ardahanlı İ, Akyüz O. The effect of hemodialysis treatment on ventricular arrhythmogenesis parameters in electrocardiography. Selcuk Med J. 2021;37(1):5-10.
• Akgun T, Karabay CY, Kocabay G, Kalayci A, Oduncu V, Guler A, Pala S, Kirma C. Learning electrocardiogram on YouTube: how useful is it. J Electrocardiol. 2014;47(1):113-117.
• Hale P, Lowe R, Seamon JP, Jenkins JJ. Paramedic electrocardiogram and rhythm identification: a convenient training device. Prehosp Disaster Med. 2011;26(5):342-345.
• Bazrafkan L, Hemmati M. The effect of Cardiac Arrhythmias Simulation Software on the nurses' learning and professional development. J Adv Med Educ Prof. 2018;6(2):86-91.
• Doğan U, Atay E. Evaluation of result of basic ECG education given to student in first and emergency aid. Journal of Pre-Hospital. 2018;3(2):81-89.
• Dyson K, Bray JE, Smith K, Bernard S, Straney L, Finn J. Paramedic resuscitation competency: a survey of Australian and New Zealand emergency medical services. Emerg Med Australas. 2017; 29(2):217-22.
• Semeraro F, Greif R, Böttiger BW, et al. European resuscitation council guidelines 2021: systems saving lives. Resuscitation. 2021;161:80-97.
• Yeom GJ, Yang J, Ki HS. Development and effects of supplementary textbook about ECG for nursing students. Korean Acad Fundam Nurs. 2020;27(3):268-276.
• Kharb P, Samanta PP, Jindal M, Singh V. The learning styles and the preferred teaching-learning strategies of first year medical students. J Clin Diagn Res. 2013;7(6):1089-1092.
• Jang KS, Hwang SY, Park SJ, Kim YM, Kim MJ. Effects of a web-based teaching method on undergraduate nursing students' learning of electrocardiography. J Nurs Educ. 2005;44(1):35-39.
• Rolskov Bojsen S, Räder SBE, Holst AG, et al. The acquisition and retention of ECG interpretation skills after a standardized web-based ECG tutorial–a randomised study. BMC Med Educ. 2015;15:36.
• Pontes PAI, Chaves RO, Castro RC, de Souza ÉF, Seruffo MCR, Francês CRL. Educational software applied in teaching electrocardiogram: a systematic review. Biomed Res Int. 2018;15:8203875.
• Granero-Molina J, Fernández-Sola C, López-Domene E, Hernández-Padilla JM, Preto LS, Castro-Sánchez AM. Effects of web-based electrocardiography simulation on strategies and learning styles. Rev Esc Enferm USP. 2015;49(4):650-656.
• Sibley A, MacLeod MH, Patocka C, Yu J, Stryhn H, Jain T. What adult electrocardiogram (ECG) diagnoses or findings are most important for advanced care paramedics to know. Cureus. 2021;13(7):e16260.
• Hernández-Padilla JM, Granero-Molina J, Márquez-Hernández VV, Suthers F, López-Entrambasaguas OM, Fernández-Sola C. Design and validation of a three-instrument toolkit for the assessment of competence in electrocardiogram rhythm recognition. Eur J Cardiovasc Nurs. 2017;16(5):425-434.
• SkillSTAT Learning. SS-ECG (The six second ECG) ®. North Vancouver, Canada: British Columbia; 2020. Fent G, Gosai J, Purva M. Teaching the interpretation of electrocardiograms: Which method is best. J Electrocardiol. 2015;48(2):190-193.
• Viljoen CA, Millar RS, Manning K, Burch VC. Effectiveness of blended learning versus lectures alone on ECG analysis and interpretation by medical students. BMC Med Educ. 2020;20(1):488.
• Chen Y, Nasrawi D, Massey D, Johnston ANB, Keller K, Kunst E. Final-year nursing students' foundational knowledge and self-assessed confidence in interpreting cardiac arrhythmias: a cross-sectional study. Nurse Educ Today. 2021;97:104699.
• Mobrad A. Electrocardiogram interpretation competency among paramedic students. J Multidiscip Healthc. 2020;13:823-828.
• Drew BJ, Sommargren CE, Schindler DM, Benedict K, Zegre-Hemsey J, Glancy JP. A simple strategy improves prehospital electrocardiogram utilization and hospital treatment for patients with acute coronary syndrome (from the ST SMART Study). Am J Cardiol. 2011;107(3):347-352.
• Diercks DB, Kontos MC, Chen AY, et al. Utilization and impact of pre-hospital electrocardiograms for patients with acute ST-segment elevation myocardial infarction: data from the NCDR (National Cardiovascular Data Registry) ACTION (Acute Coronary Treatment and Intervention Outcomes Network) Registry. J Am Coll Cardiol. 2009;53(2):161-166.
• Rahimpour M, Shahbazi S, Ghafourifard M, Gilani N, Breen C. Electrocardiogram interpretation competency among emergency nurses and emergency medical service (EMS) personnel: a cross-sectional and comparative descriptive study. Nurs Open. 2021;8(4):1712-1719.
• Werner K, Kander K, Axelsson C. Electrocardiogram interpretation skills among ambulance nurses. Eur J Cardiovasc Nurs. 2016;15(4):262-268.