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The Effect of High-Fidelity Simulation on the Level of Nursing Students' Knowledge and Clinical Decision-Making Regarding Nursing Care of Patients with Angina

Year 2023, Volume: 10 Issue: 2, 135 - 144, 01.08.2023
https://doi.org/10.31125/hunhemsire.1333840

Abstract

Aim: This study was carried out to determine the effect of high-fidelity simulation on nursing students’ knowledge and clinical decision-making levels.
Material and Methods: The sample of this study consisted of 60 nursing students (simulation=30, control=30) who took the Internal Diseases Nursing course. While the simulation group was taught the angina approach with the scenario-based high-fidelity simulation method, the control group was taught the nursing approach with the classical education method. Data were collected using a pre-and post-knowledge test, Clinical Decision-Making Scale in Nursing, and Simulation Design Scale.
Results: It was found that the mean knowledge scores of the simulation group were statistically significantly higher after the application of the high-fidelity simulation method (p=0.013). There was no statistically significant difference between the mean Nursing Clinical Decision-Making Scale scores after clinical practice in both groups (p>0.05).
Conclusion: In this study, it was determined that the high-fidelity simulation method in nursing care teaching in patients with angina increased the theoretical knowledge level of the experimental group, and the students had positive thoughts about this method, but the clinical decision-making levels were close to each other in both groups.

References

  • Lewis R, Strachan A, Smith M. Is high fidelity simulation the most effective method for the development of non-technical skills in nursing? A review of the current evidence. Open Nurs J. 2012;6:82-9.
  • Shin S, Park H, Kim JH. Effectiveness of patient simulation in nursing education: Meta Analiz. Nurse Educ Today. 2015;35:176-82.
  • Göriş S, Bilgi N, Korkut SB. Hemşirelik eğitiminde simülasyon kullanımı. DÜ Sağlık Bil Enst Derg. 2014;4(2):25-9.
  • Ryan CA, Walshe N, Gaffney R, Shanks A, Burgoyne L, Wiskin CM. Using standardized patients to assess communication skills in medical and nursing students. BMC Med Educ. 2010;10(24):1-8.
  • Sunal N. Hemşirelik eğitiminde simülasyonun rolü. Sağlık Düşüncesi ve Tıp Dergisi. 2013;27:20-1.
  • Hayden KJ, Smiley AR, Alexander M, Edgren K, Suzan, Jeffries R. The NCSBN national simulation study: a longitudinal, randomized controlled study replacing clinical hours with simulation in prelicensure nursing education. J Nurs Regul. 2014;5(2):3-40.
  • Işık KB. Hemşirelikte uygulamalı eğitim ve simülasyon. VII. Ulusal Hemşirelik Eğitimi Kongresi; 8-10 Nisan; İstanbul. İstanbul Üniversitesi; 2015. s.14.
  • Şendir M, Doğan P. Hemşirelik eğitiminde simülasyonun kullanımı: Sistematik inceleme. FNJN. 2015;23(1):49-56.
  • Dreifurest KT. The essentials of debriefing in simulation learning: aconcept analysis. Nurs Educ Perspect. 2009;30(2):109-14.
  • Yuan BH, Williams AB, Man YC. Nursing students’ clinical judgment in high - fidelity simulation based learning: A quasi - experimental study. J Nurs Educ Pract. 2014;4(5):7-15.
  • International Nursing Association of Clinical and Simulation Learning (INACSL) Board Of Directors. Standard VI: The debriefing process. Clin Simul Nurs. 2011;7(4):16-7.
  • Decker S, Caballero S, Mcclanahan C. Foundations of Simulation. Palaganas J, Ulrich BT, Mancini ME. Editors. Mastering simulation a handbook for success. Indianapolis: Sigma Theta Tau International; 2013.
  • Jeffries R, Dreıfuerst TK, Aschenbrenner S, Adamson AK, Schram PA. Hemşirelik eğitiminde klinik simülasyonlar: genel bakış, temelleri ve kanıtları. Oermann MH. Editors, Kurban N. Çeviri Editörü. Hemşirelikte öğretim ve eğiticinin rolü. Ankara: Anı Yayıncılık; 2015.
  • Mıdık Ö, Kartal M. Simülasyona dayalı tıp eğitimi. Marmara Medical Journal.2010;23(3):389-99.
  • Reed SJ. Debriefing and reflective practice. Palaganas J, Ulrich BT, Mancini ME. editors. Mastering simulation a handbook for success. Indianapolis: Sigma Theta Tau International; 2013.
  • Elfrink VL, Kirkpatrick B, Nininger J, Schubert C. Using learning outcomes to inform teaching practices in human patient simulation. Nurs Educ Perspect. 2010;31(2):97-100.
  • Buykx P, Kinsman L, Cooper S. FIRST2 ACT: Educating nurses to identify patient deterioration a theory- based model for best practice simulation education. Nurse Educ Today. 2011;31(7):687-93.
  • Tosterud R, Hedelin B, Lord H. Nursing students’ perceptions of high and low fidelity simulation used as learning methods. Nurse Educ Pract. 2013;13:262-70.
  • Bultas MW, Hassler M, Ercole PM, Rea G. Effectiveness of high-fidelity simulation for pediatric staff nurse education. Pediatr Nurs. 2014;40(1):27-32.
  • Aqel AA, Ahmad MM. High-fidelity simulation effects on cpr knowledge, skills, acquisition, and retention in nursing students. World Views Evid Based Nurs. 2014;11(6):394-400.
  • Przybyl H, Androwich I, Evans, J. Using high-fidelity simulation to assess knowledge, skills, and attitudes in nurses performing crrt. Nephrol Nurs J. 2015;42(2):135-47.
  • Kim JY, Kim EJ. Effects of simulation on nursing students' knowledge, clinical reasoning, a self-confidence: aquasi experimental study. Korean J Adult Nurs. 2015;27(5):604-11.
  • Tubaishat A, Tawalbeh L. Effect of cardiac arrhythmia simulation on nursing students' knowledge acquisition and retention. West J. Nurse Res. 2015;37(9):1160-74.
  • Flood LS, Higbie JA. A comparative assessment of nursing students' cognitive knowledge of blood transfusion using lecture and simulation. Nurse Educ Pract. 2016;16(1):8-13.
  • Pınar G, Abay H, Akalın A. The effect of senario–based simulation training technology on knowledge and skills of maternity nursing students in turkey. Int J Methods Psychiatr Res. 2016b;6(6):8096-101.
  • Hur HK, Roh YS. Effects of A simulation based clinical reasoning prac-tice program on clinical competence in nursing students. Korean J Adult Nurs. 2013;25(5):574-84.
  • Mariani B, Cantrell MA, Meakim C, Prieto P, Dreifuerst TK. Structured debriefing and students' clinical judgment abilities in simulation. Clin Simul Nurs. 2013;9(5):147-55.
  • Valadares AFM, Magro SCM. Opinion of nursing students on realistic simulation and the curriculum internship in hospital setting. Acta Paul Enferm. 2014;27(2):138-43.
  • Pınar G, Knight CC, Gaiosa PV. The effects of high fidelity simulation on nursing students’ perceptions and self-efficacy of obstetric skills. Int Arc Nurs Health Care. 2015a;1(2):1-8.
  • Lasater K. High-fidelity simulation and the development of clinical judgment: students’ experiences. J Nurs Educ. 2007a;46(6):269-76.
  • Kaplan B, Ura D. Use of multiple patient simulators to enhance priori-tising and delegating skills for senior nursing students. J Nurs Educ. 2010;49(7):371-7.
  • Lindsey PL, Jenkins S. Nursing students' clinical judgment regarding rapid response: the influence of a clinical simulation education intervention. Nurs. Forum. 2013;48(1):61-70.
  • Kaddoura M, Vandyke O, Small -wood C, Gonzalez KM. Perceived benefits and challenges of repeated exposure to high fidelity simulation experiences of first degree accelerated bachelor nursing students. Nurse Educ Today. 2016;36:298-303.
  • Fawaz MA, Mansur AMH. Impact of high-fidelity simulation on the development of clinical judgment and motivation among lebanese nursing students. Nurse Educ Today. 2016;46:36-42.
  • Başak T, Unver V, Moss J, Watts P, Gaioso V. Beginning and advanced students’ perceptions of the use of low- and high-fidelity mannequins in nursing simulation. Nurse Educ Today. 2016;36(1):37-43.
  • Tuzer H, Dinç L, Elçin M. The effects of using high-fidelity simula-tors and standardized patients on the thorax, lung, and cardiac examination skills of undergraduate nursing students. Nurse Educ Today. 2016;45:120-5.
  • Avrupa Kardiyoloji Derneği (ESC). Q 2013 ESC Kararlı Koroner Arter Hastalığı Yönetimi Kılavuzu. Türk Kardiyol Dern Arş. 2014; Suppl.4:73-134.
  • Avrupa Kardiyoloji Derneği (ESC). ST-segment Yükselmeli Akut Miyokart Enfarktüsü ile Başvuran Hastaların Tedavisine İlişkin ESC Kılavuzu. 2013; Suppl.3:1-51.
  • Dedeli Ö, Kaptan G. Teoriden Uygulamaya Temel İç Hastalıkları Hemşireliği Kavram ve Kuramlar. İstanbul Tıp Kitapevi; 2012.
  • Türk Kardiyoloji Derneği (TKD). Akut Koroner Sendromlar Hipertansiyon Hemşirelik Bakım Kılavuzu. 2007;1-69.
  • Jenkins HM. A research tool for measuring perceptions of clinical decision making. J Prof Nurs.1985;1(4):221-9.
  • Edeer DA, Sarıkaya A. Adaptation of clinical decision making in nursing scale to undergraduate students of nursing: The study of reliability and validity. Int J Psychol. 2015;2(3):1-9.
  • Jeffries PR, Rizzolo MA. Designing and implementing models for the innovative use of simulation to teach nursing care of ill adults and children: A national, multi-site, multi-method study. New York, NY: National League for Nursing; 2006.
  • Unver V, Basak T, Watts P. The reliability and validity of three questionnaires; the student satisfaction and self confidence in learning scale, simulation design scale, and educational practices questionnaire. Contemp Nurse. 2017;53(1):60-74.
  • Jeffries PR, Rogers KJ. Theoretical framework for simulation design. Jeffries PR. Editor. Simulation in nursing education: from conceptualization to evaluation. New York, NY: National League for Nursing; 2007.
  • Kolb DA. Experiential learning: Experience as the source of learning and development. New Jersey: FT press; 2014.
  • Eppich W, Cheng A. Promoting excellence and reflective learning in simulation (PEARLS). Sim Healthcare. 2015;10:106-15.
  • Yavuzgil O. Kararlı koroner arter hastalığı: Epidemiyoloji ve güncel tedavi kılavuzlarının yaklaşımı. Turk Kardiyol Der Arş. 2016;44(3):1-7.
  • Battista A, Konopasky A, Ramani D, Ohmer M, Mikita J, Howle A et al. Clinical reasoning in the primary care setting: two scenario-based simulations for residents and attendings. MedEdPORTAL. 2018;14:10773.
  • Brannan JD, White A, Judy L, Bezanson JL. Simulator effects on cognitive skills and confidence levels. J Nurs Educ. 2008;47(11):495-500.
  • Gardner RK, Sutherland L, Hildebrandt K. Using high-fidelity simulation to bridge theory to practice for baccalaureate nursing students learning to care for cardiac patients. Can J Cardiol. 2011;27(5):360.
  • Haukedal TA, Reierson IA, Hedeman H, Bjørk IT. The ımpact of a new pedagogical ıntervention on nursing students' knowledge acquisition in simulation-based learning: a quasi-experimental study. Hindawi Nursing Research and Practice. 2018:1-10.
  • Paragas MZ. Development of evidence-based scenario with high fidelity simulation to ımprove nursing care of chest pain patients [PhD thesis]. Walden University; 2016.
  • Sharoff L. Preliminary exploration of simulation preparation, clinical judgment and reflective process. J Cont Med. 2012;2(3):141-50.
  • Akalın A, Şahin S. Hemşirelik Eğitiminde Simülasyonun Kullanılması: Türkiye’de Lisansüstü Tezler Üzerine Bir İnceleme. Koç Üniversitesi Hemşirelikte Eğitim Ve Araştırma Dergisi. 2020;17(2):139-47.
  • Sucu G, Dicle A, Saka O. Hemşirelikte klinik karar verme, etkileyen etmenler ve karar verme modelleri. Hemşirelikte Eğitim ve Araştırma Dergisi. 2012;9(1):52-60.
  • Krumwiede AK. An examination of accelerated and basic baccalaureate nursing students’ perceptions of clinical decision making. Mineapolis: Capella University, ProQuest LLC; 2010.
  • Hallin K, Bäckström B, Häggström M, Kristiansen L. High fidelity simulation: assessment of student nurses' team achievements of clinical judgment. Nurse Educ Pract. 2016;19:12-8.
  • Lapkin S, Jones TL, Bellchambers H, Fernandez R. Effectiveness of patient simulation manikins in teaching clinical reasoning skills to undergraduate nursing students: A Review. Clin Sımul Nurs. 2010;6(6):207-22.
  • Bjørk IT, Hamilton GA. Clinical decision making of nurses working in hospital setting. Nurs Res Pract. 2011;524918.
  • Bambini D, Washburn J, Perkins R. Outcomes of clinical simulation for novice nursing students: communication, confidence, clinical judgment. Nurs Educ Res. 2009;30(2):79-82.
  • Ayed A, Malak MZ, Alamer RM, Batran A, Salameh B, Fashafsheh I. Effect of high fidelity simulation on clinical decision-making among nursing students. Interactive Learning Environments. (in press). 2021;1-9. doi: 10.1080/10494820.2021.1875004
  • Akalin A, Sahin S. The impact of high-fidelity simulation on knowledge, critical thinking, and clinical decision-making for the management of pre-eclampsia. Int J Gynaecol Obstet. 2020;150(3):354-60.
  • Blum CA, Borglund S, Parcells D. High-fidelity nursing simulation: ımpact on student self-confidence and clinical competence. Int J Nurs Educ Scholarsh. 2010;7(1):1-14.
  • Mok HT. So F, Chung JVY. Effectiveness of high-fidelity patient simulation in teaching clinical reasoning skills. Clin Simul Nurs. 2016;12(10):453-67.
  • Lasater K. Clinical judgment development: using simulation to create an assessment rubric. J Nurs Educ. 2007b;46(11):496-503.
  • Cordeau M. The lived experience of clinical simulation of novice nursing students. Int J Hum Caring. 2010;14(2):9-15.

Yüksek Gerçeklikli Simülasyon Yönteminin Hemşirelik Öğrencilerinin Anjinalı Hastanın Hemşirelik Bakımına Yönelik Bilgi ve Klinik Karar Verme Düzeyine Etkisi

Year 2023, Volume: 10 Issue: 2, 135 - 144, 01.08.2023
https://doi.org/10.31125/hunhemsire.1333840

Abstract

Amaç: Bu araştırma, Yüksek Gerçeklikli Simülasyon yönteminin hemşirelik öğrencilerinin bilgi ve klinik karar verme düzeylerine etkisini belirlemek amacıyla yapılmıştır.
Gereç ve Yöntem: Araştırmanın örneklemini İç Hastalıkları Hemşireliği dersi alan 60 hemşirelik öğrencisi (simülasyon=30, kontrol=30) oluşturmuştur. Simülasyon grubuna senaryo temelli HFS yöntemi ile anjina yaklaşımı öğretilirken, kontrol grubuna klasik eğitim yöntemi ile hemşirelik yaklaşımı öğretildi. Veri toplama formu olarak Bilgi Ön Testi, Bilgi Sonu Testi ve Hemşirelikte Klinik Karar Verme Ölçeği, Simülasyon grubuna ise Simülasyon Tasarım Ölçeği uygulanmıştır.
Bulgular: Yüksek Gerçeklikli Simülasyon yöntemi uygulaması sonrasında simülasyon grubunun bilgi ortalama puanlarının istatistiksel olarak anlamlı derecede yüksek olduğu bulunmuştur (p=0.013). Klinik uygulama sonrası Hemşirelik Klinik Karar Verme Ölçeği puan ortalamaları arasında her iki grupta istatistiksel olarak anlamlı fark bulunmadı (p>0.05).
Sonuç: Bu çalışmada anjinası olan hastada hemşirelik bakımı öğretiminde Yüksek Gerçeklikli Simülasyon yönteminin uygulama grubunun teorik bilgi düzeyini artırdığı ve öğrencilerin bu yöntem hakkında olumlu düşüncelere sahip oldukları ancak her iki grupta da klinik karar verme düzeylerinin birbirine yakın olduğu ortaya konmuştur.

References

  • Lewis R, Strachan A, Smith M. Is high fidelity simulation the most effective method for the development of non-technical skills in nursing? A review of the current evidence. Open Nurs J. 2012;6:82-9.
  • Shin S, Park H, Kim JH. Effectiveness of patient simulation in nursing education: Meta Analiz. Nurse Educ Today. 2015;35:176-82.
  • Göriş S, Bilgi N, Korkut SB. Hemşirelik eğitiminde simülasyon kullanımı. DÜ Sağlık Bil Enst Derg. 2014;4(2):25-9.
  • Ryan CA, Walshe N, Gaffney R, Shanks A, Burgoyne L, Wiskin CM. Using standardized patients to assess communication skills in medical and nursing students. BMC Med Educ. 2010;10(24):1-8.
  • Sunal N. Hemşirelik eğitiminde simülasyonun rolü. Sağlık Düşüncesi ve Tıp Dergisi. 2013;27:20-1.
  • Hayden KJ, Smiley AR, Alexander M, Edgren K, Suzan, Jeffries R. The NCSBN national simulation study: a longitudinal, randomized controlled study replacing clinical hours with simulation in prelicensure nursing education. J Nurs Regul. 2014;5(2):3-40.
  • Işık KB. Hemşirelikte uygulamalı eğitim ve simülasyon. VII. Ulusal Hemşirelik Eğitimi Kongresi; 8-10 Nisan; İstanbul. İstanbul Üniversitesi; 2015. s.14.
  • Şendir M, Doğan P. Hemşirelik eğitiminde simülasyonun kullanımı: Sistematik inceleme. FNJN. 2015;23(1):49-56.
  • Dreifurest KT. The essentials of debriefing in simulation learning: aconcept analysis. Nurs Educ Perspect. 2009;30(2):109-14.
  • Yuan BH, Williams AB, Man YC. Nursing students’ clinical judgment in high - fidelity simulation based learning: A quasi - experimental study. J Nurs Educ Pract. 2014;4(5):7-15.
  • International Nursing Association of Clinical and Simulation Learning (INACSL) Board Of Directors. Standard VI: The debriefing process. Clin Simul Nurs. 2011;7(4):16-7.
  • Decker S, Caballero S, Mcclanahan C. Foundations of Simulation. Palaganas J, Ulrich BT, Mancini ME. Editors. Mastering simulation a handbook for success. Indianapolis: Sigma Theta Tau International; 2013.
  • Jeffries R, Dreıfuerst TK, Aschenbrenner S, Adamson AK, Schram PA. Hemşirelik eğitiminde klinik simülasyonlar: genel bakış, temelleri ve kanıtları. Oermann MH. Editors, Kurban N. Çeviri Editörü. Hemşirelikte öğretim ve eğiticinin rolü. Ankara: Anı Yayıncılık; 2015.
  • Mıdık Ö, Kartal M. Simülasyona dayalı tıp eğitimi. Marmara Medical Journal.2010;23(3):389-99.
  • Reed SJ. Debriefing and reflective practice. Palaganas J, Ulrich BT, Mancini ME. editors. Mastering simulation a handbook for success. Indianapolis: Sigma Theta Tau International; 2013.
  • Elfrink VL, Kirkpatrick B, Nininger J, Schubert C. Using learning outcomes to inform teaching practices in human patient simulation. Nurs Educ Perspect. 2010;31(2):97-100.
  • Buykx P, Kinsman L, Cooper S. FIRST2 ACT: Educating nurses to identify patient deterioration a theory- based model for best practice simulation education. Nurse Educ Today. 2011;31(7):687-93.
  • Tosterud R, Hedelin B, Lord H. Nursing students’ perceptions of high and low fidelity simulation used as learning methods. Nurse Educ Pract. 2013;13:262-70.
  • Bultas MW, Hassler M, Ercole PM, Rea G. Effectiveness of high-fidelity simulation for pediatric staff nurse education. Pediatr Nurs. 2014;40(1):27-32.
  • Aqel AA, Ahmad MM. High-fidelity simulation effects on cpr knowledge, skills, acquisition, and retention in nursing students. World Views Evid Based Nurs. 2014;11(6):394-400.
  • Przybyl H, Androwich I, Evans, J. Using high-fidelity simulation to assess knowledge, skills, and attitudes in nurses performing crrt. Nephrol Nurs J. 2015;42(2):135-47.
  • Kim JY, Kim EJ. Effects of simulation on nursing students' knowledge, clinical reasoning, a self-confidence: aquasi experimental study. Korean J Adult Nurs. 2015;27(5):604-11.
  • Tubaishat A, Tawalbeh L. Effect of cardiac arrhythmia simulation on nursing students' knowledge acquisition and retention. West J. Nurse Res. 2015;37(9):1160-74.
  • Flood LS, Higbie JA. A comparative assessment of nursing students' cognitive knowledge of blood transfusion using lecture and simulation. Nurse Educ Pract. 2016;16(1):8-13.
  • Pınar G, Abay H, Akalın A. The effect of senario–based simulation training technology on knowledge and skills of maternity nursing students in turkey. Int J Methods Psychiatr Res. 2016b;6(6):8096-101.
  • Hur HK, Roh YS. Effects of A simulation based clinical reasoning prac-tice program on clinical competence in nursing students. Korean J Adult Nurs. 2013;25(5):574-84.
  • Mariani B, Cantrell MA, Meakim C, Prieto P, Dreifuerst TK. Structured debriefing and students' clinical judgment abilities in simulation. Clin Simul Nurs. 2013;9(5):147-55.
  • Valadares AFM, Magro SCM. Opinion of nursing students on realistic simulation and the curriculum internship in hospital setting. Acta Paul Enferm. 2014;27(2):138-43.
  • Pınar G, Knight CC, Gaiosa PV. The effects of high fidelity simulation on nursing students’ perceptions and self-efficacy of obstetric skills. Int Arc Nurs Health Care. 2015a;1(2):1-8.
  • Lasater K. High-fidelity simulation and the development of clinical judgment: students’ experiences. J Nurs Educ. 2007a;46(6):269-76.
  • Kaplan B, Ura D. Use of multiple patient simulators to enhance priori-tising and delegating skills for senior nursing students. J Nurs Educ. 2010;49(7):371-7.
  • Lindsey PL, Jenkins S. Nursing students' clinical judgment regarding rapid response: the influence of a clinical simulation education intervention. Nurs. Forum. 2013;48(1):61-70.
  • Kaddoura M, Vandyke O, Small -wood C, Gonzalez KM. Perceived benefits and challenges of repeated exposure to high fidelity simulation experiences of first degree accelerated bachelor nursing students. Nurse Educ Today. 2016;36:298-303.
  • Fawaz MA, Mansur AMH. Impact of high-fidelity simulation on the development of clinical judgment and motivation among lebanese nursing students. Nurse Educ Today. 2016;46:36-42.
  • Başak T, Unver V, Moss J, Watts P, Gaioso V. Beginning and advanced students’ perceptions of the use of low- and high-fidelity mannequins in nursing simulation. Nurse Educ Today. 2016;36(1):37-43.
  • Tuzer H, Dinç L, Elçin M. The effects of using high-fidelity simula-tors and standardized patients on the thorax, lung, and cardiac examination skills of undergraduate nursing students. Nurse Educ Today. 2016;45:120-5.
  • Avrupa Kardiyoloji Derneği (ESC). Q 2013 ESC Kararlı Koroner Arter Hastalığı Yönetimi Kılavuzu. Türk Kardiyol Dern Arş. 2014; Suppl.4:73-134.
  • Avrupa Kardiyoloji Derneği (ESC). ST-segment Yükselmeli Akut Miyokart Enfarktüsü ile Başvuran Hastaların Tedavisine İlişkin ESC Kılavuzu. 2013; Suppl.3:1-51.
  • Dedeli Ö, Kaptan G. Teoriden Uygulamaya Temel İç Hastalıkları Hemşireliği Kavram ve Kuramlar. İstanbul Tıp Kitapevi; 2012.
  • Türk Kardiyoloji Derneği (TKD). Akut Koroner Sendromlar Hipertansiyon Hemşirelik Bakım Kılavuzu. 2007;1-69.
  • Jenkins HM. A research tool for measuring perceptions of clinical decision making. J Prof Nurs.1985;1(4):221-9.
  • Edeer DA, Sarıkaya A. Adaptation of clinical decision making in nursing scale to undergraduate students of nursing: The study of reliability and validity. Int J Psychol. 2015;2(3):1-9.
  • Jeffries PR, Rizzolo MA. Designing and implementing models for the innovative use of simulation to teach nursing care of ill adults and children: A national, multi-site, multi-method study. New York, NY: National League for Nursing; 2006.
  • Unver V, Basak T, Watts P. The reliability and validity of three questionnaires; the student satisfaction and self confidence in learning scale, simulation design scale, and educational practices questionnaire. Contemp Nurse. 2017;53(1):60-74.
  • Jeffries PR, Rogers KJ. Theoretical framework for simulation design. Jeffries PR. Editor. Simulation in nursing education: from conceptualization to evaluation. New York, NY: National League for Nursing; 2007.
  • Kolb DA. Experiential learning: Experience as the source of learning and development. New Jersey: FT press; 2014.
  • Eppich W, Cheng A. Promoting excellence and reflective learning in simulation (PEARLS). Sim Healthcare. 2015;10:106-15.
  • Yavuzgil O. Kararlı koroner arter hastalığı: Epidemiyoloji ve güncel tedavi kılavuzlarının yaklaşımı. Turk Kardiyol Der Arş. 2016;44(3):1-7.
  • Battista A, Konopasky A, Ramani D, Ohmer M, Mikita J, Howle A et al. Clinical reasoning in the primary care setting: two scenario-based simulations for residents and attendings. MedEdPORTAL. 2018;14:10773.
  • Brannan JD, White A, Judy L, Bezanson JL. Simulator effects on cognitive skills and confidence levels. J Nurs Educ. 2008;47(11):495-500.
  • Gardner RK, Sutherland L, Hildebrandt K. Using high-fidelity simulation to bridge theory to practice for baccalaureate nursing students learning to care for cardiac patients. Can J Cardiol. 2011;27(5):360.
  • Haukedal TA, Reierson IA, Hedeman H, Bjørk IT. The ımpact of a new pedagogical ıntervention on nursing students' knowledge acquisition in simulation-based learning: a quasi-experimental study. Hindawi Nursing Research and Practice. 2018:1-10.
  • Paragas MZ. Development of evidence-based scenario with high fidelity simulation to ımprove nursing care of chest pain patients [PhD thesis]. Walden University; 2016.
  • Sharoff L. Preliminary exploration of simulation preparation, clinical judgment and reflective process. J Cont Med. 2012;2(3):141-50.
  • Akalın A, Şahin S. Hemşirelik Eğitiminde Simülasyonun Kullanılması: Türkiye’de Lisansüstü Tezler Üzerine Bir İnceleme. Koç Üniversitesi Hemşirelikte Eğitim Ve Araştırma Dergisi. 2020;17(2):139-47.
  • Sucu G, Dicle A, Saka O. Hemşirelikte klinik karar verme, etkileyen etmenler ve karar verme modelleri. Hemşirelikte Eğitim ve Araştırma Dergisi. 2012;9(1):52-60.
  • Krumwiede AK. An examination of accelerated and basic baccalaureate nursing students’ perceptions of clinical decision making. Mineapolis: Capella University, ProQuest LLC; 2010.
  • Hallin K, Bäckström B, Häggström M, Kristiansen L. High fidelity simulation: assessment of student nurses' team achievements of clinical judgment. Nurse Educ Pract. 2016;19:12-8.
  • Lapkin S, Jones TL, Bellchambers H, Fernandez R. Effectiveness of patient simulation manikins in teaching clinical reasoning skills to undergraduate nursing students: A Review. Clin Sımul Nurs. 2010;6(6):207-22.
  • Bjørk IT, Hamilton GA. Clinical decision making of nurses working in hospital setting. Nurs Res Pract. 2011;524918.
  • Bambini D, Washburn J, Perkins R. Outcomes of clinical simulation for novice nursing students: communication, confidence, clinical judgment. Nurs Educ Res. 2009;30(2):79-82.
  • Ayed A, Malak MZ, Alamer RM, Batran A, Salameh B, Fashafsheh I. Effect of high fidelity simulation on clinical decision-making among nursing students. Interactive Learning Environments. (in press). 2021;1-9. doi: 10.1080/10494820.2021.1875004
  • Akalin A, Sahin S. The impact of high-fidelity simulation on knowledge, critical thinking, and clinical decision-making for the management of pre-eclampsia. Int J Gynaecol Obstet. 2020;150(3):354-60.
  • Blum CA, Borglund S, Parcells D. High-fidelity nursing simulation: ımpact on student self-confidence and clinical competence. Int J Nurs Educ Scholarsh. 2010;7(1):1-14.
  • Mok HT. So F, Chung JVY. Effectiveness of high-fidelity patient simulation in teaching clinical reasoning skills. Clin Simul Nurs. 2016;12(10):453-67.
  • Lasater K. Clinical judgment development: using simulation to create an assessment rubric. J Nurs Educ. 2007b;46(11):496-503.
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There are 67 citations in total.

Details

Primary Language Turkish
Subjects Fundamentals of Nursing
Journal Section Research Article
Authors

Gülcan Coşkun 0000-0002-3157-0781

Şerife Karagözoğlu This is me 0000-0002-9558-0786

Publication Date August 1, 2023
Submission Date November 6, 2021
Published in Issue Year 2023 Volume: 10 Issue: 2

Cite

Vancouver Coşkun G, Karagözoğlu Ş. Yüksek Gerçeklikli Simülasyon Yönteminin Hemşirelik Öğrencilerinin Anjinalı Hastanın Hemşirelik Bakımına Yönelik Bilgi ve Klinik Karar Verme Düzeyine Etkisi. JOHUFON. 2023;10(2):135-44.