The Effects of High-fidelity simulation on the Clinical Judgment of Professional Nurses in the Obstetrics Department, Yala Hospital.

Authors

  • Arpaporn Hannarong -
  • Pratyanan Thiangchanya -
  • Shutiwan Purinthrapibal -

Keywords:

High-Fidelity Simulation, Clinical Judgment, Obstetric Nurses

Abstract

     This quasi-experimental research, employing a one-group pretest-posttest design, aimed to examine the effects of using high-fidelity simulation (HFS) on the clinical judgment abilities of professional nurses working in the obstetric department at Yala Hospital. The sample consisted of 30 professional nurses working in the obstetric department at Yala Hospital, selected through purposive sampling. The research instruments included: 1) two high-fidelity simulation scenarios focusing on postpartum hemorrhage (PPH) and severe preeclampsia; and 2) a clinical judgment assessment scale adapted from the Lasater Clinical Judgment Rubric (LCJR), which demonstrated a content validity index (CVI) of 0.86 and a reliability of 0.74. Data were analyzed using descriptive statistics and the Wilcoxon Signed-Ranks Test.

     The results revealed that after participating in the high-fidelity simulation program, the overall clinical judgment scores of the participants were significantly higher than those before the intervention (Z = -4.673, p < .001), with the median score increasing from 14.50 to 16.00. Regarding specific scenarios, the clinical judgment scores significantly increased in both the postpartum hemorrhage (p < .001) and severe preeclampsia (p < .001) scenarios. Furthermore, analyzing by the subscales of the clinical judgment process showed significant improvements in the dimensions of Noticing (p = .021), Interpreting (p = .001), and Responding (p < .001).

References

World Health Organization, United Nations Children's Fund, United Nations Population Fund, World Bank Group, & United Nations Department of Economic and Social Affairs Population Division. Trends in maternal mortality 2000 to 2020: Estimates by WHO, UNICEF, UNFPA, World Bank Group and UNDESA/Population Division [Internet]. 2023. [cited 2026 May 16]. Available from: https://www.who.int/publications/i/item/9789240068759

กระทรวงสาธารณสุข รายงานสถานการณ์การตายของมารดา ประเทศไทย ปี 2563-2568. นนทบุรี: กระทรวงสาธารณสุข; 2568.

สำนักส่งเสริมสุขภาพ กรมอนามัย รายงานอัตราส่วนมารดาตาย เขตสุขภาพที่ 12 และจังหวัดยะลา ปี 2563-2568. นนทบุรี:กรมอนามัย; 2568.

โรงพยาบาลยะลา รายงานสถิติอัตราการตายของมารดา โรงพยาบาลยะลา ปีงบประมาณ 2563-2568. ยะลา: กลุ่มงานสูติ-นรีเวชกรรม โรงพยาบาลยะลา; 2568.

Thailand Nursing and Midwifery Council. Standards of nursing and midwifery practice B.E. 2544. Nonthaburi: Thailand Nursing and Midwifery Council; 2001.

World Health Organization. Maternal mortality [Internet]. Geneva: World Health Organization; 2023 [cited 2024 May 22]. Available from: https://www.who.int/news-room/fact-sheets/detail/maternal-mortality

Tanner CA. Thinking like a nurse: A research-based model of clinical judgment in nursing. Journal of Nursing Education. 2006;45(6):204-211. doi:10.3928/01484834-20060601-04.

Jeffries PR. The NLN Jeffries simulation theory. New York: National League for Nursing; 2016.

Shin S, Park JH, Kim JH. Effectiveness of patient simulation in nursing education: Meta-analysis. Nurse Educ Today. 2015;35(1):176-182. doi:10.1016/j.nedt.2014.09.009

Cant RP, Cooper SJ. The value of simulation-based learning in pre-licensure nurse education: A state-of-the-art review and meta-analysis. Nurse Educ Pract. 2017;27:45-62. doi:10.1016/j.nepr.2017.08.012

Lee J, Oh PJ. Effects of the use of high-fidelity human simulation in nursing education: A meta-analysis. J Nurs Educ. 2020;59(9):501-507. doi:10.3928/01484834-20200817-04

Denise F. Polit, Cheryl Tatano Beck. Nursing research: generating and assessing evidence for nursing practice. 11th ed. Philadelphia: Wolters Kluwer; 2021.

Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods. 2007;39(2):175-191. Available from: https://doi.org/10.3758/BF03193146

Lasater K. Clinical judgment development: Using simulation to create an assessment rubric. J Nurs Educ. 2007;46(11):496-503.

Görcü Y, et al. Simulation-based learning and clinical decision-making skills among nursing students: A systematic review. Nurse Educ Today. 2024;134:106091.

Kawase K, et al. Effects of simulation-based education on clinical judgment skills among novice nurses. Nurse Educ Pract. 2024;74:103876.

El Hussein M, Jakubec SL, Osuji J. The effectiveness of simulation-based learning on clinical judgment in nursing education: An integrative review. Clinical Simulation in Nursing 2023; 76: 12-21

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Published

2026-06-30

How to Cite

Hannarong, A., Thiangchanya, P., & Purinthrapibal, S. (2026). The Effects of High-fidelity simulation on the Clinical Judgment of Professional Nurses in the Obstetrics Department, Yala Hospital. Journal of Environmental Education Medical and Health, 11(2), 1304–1312. retrieved from https://so06.tci-thaijo.org/index.php/hej/article/view/297309