Evaluating high-fidelity human simulators and standardized patients in an undergraduate nursing health assessment course

被引:68
|
作者
Luctkar-Flude, Marian [1 ]
Wilson-Keates, Barbara [2 ]
Larocque, Monica [1 ]
机构
[1] Queens Univ, Sch Nursing, Kingston, ON K7L 3N6, Canada
[2] Univ Alberta, Fac Nursing, Edmonton, AB, Canada
关键词
Simulation; Standardized patients; Nursing education; Health assessment; SKILLS; STUDENTS; EXPERIENCES; PROGRAMS; MODEL;
D O I
10.1016/j.nedt.2011.04.011
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Background: An undergraduate nursing health assessment course provided three experiential modalities for practicing health assessment skills: high-fidelity human simulators (HFS), standardized patients (SP) and community volunteers (CV). Previous research has examined the impact of each distinct modality on learning outcomes. However, few studies have compared these learning strategies. This study investigates learners' satisfaction, self-efficacy and performance behaviors among three learning approaches. Method: Forty-four undergraduate nursing students were randomly assigned to perform focused respiratory assessments on a HFS, SP or CV. Participants completed the Health Assessment Educational Modality Evaluation (HAEME) survey to assess self-efficacy and modality satisfaction. A performance checklist evaluated assessment skills. Results: Performance behaviors were significantly greater with HFS, but learners were significantly less satisfied with this modality. Significant differences in students' self-efficacy were not found across the three modalities. Conclusions: Significantly lower satisfaction with HFS may reflect learners' perceived lack of realism. However, HFS may provide a low-stress opportunity for novice learners to practice skills. Results support the integration of distinct experiential learning modalities in an undergraduate nursing health assessment course. Crown Copyright (C) 2011 Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:448 / 452
页数:5
相关论文
共 50 条
  • [31] Utilization of High-Fidelity Simulation to Teach Advance Care Planning to Undergraduate Nursing Students
    Brohard, Cheryl
    Moreland, Earline
    JOURNAL OF PAIN AND SYMPTOM MANAGEMENT, 2018, 55 (02) : 674 - 674
  • [32] Combining Virtual and High-fidelity Simulation to Foster Confidence and Competency in Postpartum Assessment Complications among Undergraduate Nursing Students
    Goldsworthy, S.
    Ferreira, C.
    Shajani, Z.
    Snell, D.
    Perez, G.
    CLINICAL SIMULATION IN NURSING, 2022, 66 : 18 - 24
  • [33] Degrees of Reality Airway Anatomy of High-fidelity Human Patient Simulators and Airway Trainers
    Schebesta, Karl
    Huepfl, Michael
    Roessler, Bernhard
    Ringl, Helmut
    Mueller, Michael P.
    Kimberger, Oliver
    ANESTHESIOLOGY, 2012, 116 (06) : 1204 - 1209
  • [34] Pseudostandardized Patients in Undergraduate Nursing Health Assessment
    Rue, Shona M.
    Doolen, Jessica
    JOURNAL OF NURSING EDUCATION, 2015, 54 (11) : 663 - 664
  • [35] High-Fidelity Simulation and Clinical Judgment of Nursing Students in a Maternal-Newborn Course
    Reid, Carol A.
    Ralph, Jody L.
    El-Masri, Maher
    Ziefle, Katrice
    WESTERN JOURNAL OF NURSING RESEARCH, 2020, 42 (10) : 829 - 837
  • [36] High-fidelity Human Patient Simulators Compared with Human Actors in an Unannounced Mass-Casualty Exercise
    Schulz, Christian M.
    Skrzypczak, Matthias
    Raith, Stefan
    Hinzmann, Dominik
    Krautheim, Veronika
    Heuser, Fabian
    Mayer, Valentin
    Kreuzer, Christoph
    Himsl, Meike
    Holl, Michael
    Lipp, Christina
    Kochs, Eberhard F.
    Wagner, Klaus J.
    PREHOSPITAL AND DISASTER MEDICINE, 2014, 29 (02) : 176 - 182
  • [37] Breaking the Stigma in Mental Health Nursing through High-Fidelity Simulation Training
    Simonelli-Munoz, Agustin Javier
    Jimenez-Rodriguez, Diana
    Arrogante, Oscar
    del Pino, Fernando Jesus Plaza
    Gallego-Gomez, Juana Ines
    NURSING REPORTS, 2023, 13 (04) : 1593 - 1606
  • [38] Time to Incorporate Artificial Intelligence into High-Fidelity Patient Simulators for Nursing Education: A Secondary Analysis of a Pilot Study
    Dante, Angelo
    La Cerra, Carmen
    Bertocchi, Luca
    Masotta, Vittorio
    Marcotullio, Alessia
    Ferraiuolo, Fabio
    Alfes, Celeste M.
    Petrucci, Cristina
    METHODOLOGIES AND INTELLIGENT SYSTEMS FOR TECHNOLOGY ENHANCED LEARNING, 2022, 326 : 227 - 236
  • [39] Great geriatric syndromes: Acquisition of nursing competencies and undergraduate nursing students' perceptions through high-fidelity simulation training
    Arrogante, Oscar
    Velarde Garcia, Juan Francisco
    Blazquez-Gonzalez, Patricia
    Moro-Tejedor, Ma Nieves
    NURSE EDUCATION TODAY, 2023, 121
  • [40] Evaluating the use of high-fidelity simulators during mock neonatal resuscitation scenarios in trying to improve confidence in residents
    Hossino, Deena
    Hensley, Christina
    Lewis, Karen
    Frazier, Marie
    Domanico, Renee
    Burley, Melissa
    Harris, Jeffrey
    Miller, Bobby
    Flesher, Susan L.
    SAGE OPEN MEDICINE, 2018, 6