Literature DB >> 27479004

Manikin-based simulation: online orientation and student anxiety.

Dominic A Giuliano, Marion McGregor, Loretta Howard, Rebecca Taylor, Rachel Statz, Madolyn Linka, Christina Bagnell.   

Abstract

OBJECTIVE: This study examined changes in anxiety associated with different modes of student orientation to a manikin-based simulation lab. It was purposed that the addition of an online orientation prior to the actual lab would save time for more learning content during the session.
METHODS: Anxiety scores were gathered from groups of interns, using a visual analog scale. Some students experienced a 30-minute in-person orientation while others completed an online module. One-way analysis of variance and the Kruskal-Wallis test were used for analysis.
RESULTS: Mean anxiety scores were not statistically different (χ2 = 2.51, p = .29) between the group that received a 30-minute in-person orientation and the online group. At the end of the entire introductory phase, there was a significant difference between year cohorts (F = 9.61, p < .001), indicating overall higher anxiety for one of the years receiving in-person orientation. However, when looking at the remaining in-person orientation year vs the online module year, there was no significant difference seen (p = .56).
CONCLUSIONS: Successful transition, resulting in substantial gain to learning time, was observed by changing an in-person orientation to an online format. Anxiety levels were noted to fluctuate significantly from year to year regardless of orientation method.

Entities:  

Keywords:  Anxiety; Chiropractic; Education; Simulation Training

Year:  2016        PMID: 27479004      PMCID: PMC5067128          DOI: 10.7899/JCE-15-19

Source DB:  PubMed          Journal:  J Chiropr Educ        ISSN: 1042-5055


  14 in total

1.  Manikin-based clinical simulation in chiropractic education.

Authors:  Marion McGregor; Dominic Giuliano
Journal:  J Chiropr Educ       Date:  2012

2.  Specificity of regional brain activity in anxiety types during emotion processing.

Authors:  Anna S Engels; Wendy Heller; Aprajita Mohanty; John D Herrington; Marie T Banich; Andrew G Webb; Gregory A Miller
Journal:  Psychophysiology       Date:  2007-05       Impact factor: 4.016

Review 3.  Interventional strategies to decrease nursing student anxiety in the clinical learning environment.

Authors:  Linda M Moscaritolo
Journal:  J Nurs Educ       Date:  2009-01       Impact factor: 1.726

4.  Early bedside care during preclinical medical education: can technology-enhanced patient simulation advance the Flexnerian ideal?

Authors:  James A Gordon; Emily M Hayden; Rami A Ahmed; John B Pawlowski; Kimberly N Khoury; Nancy E Oriol
Journal:  Acad Med       Date:  2010-02       Impact factor: 6.893

5.  Capturing students' learning experiences and academic emotions at an interprofessional training ward.

Authors:  Hanna Lachmann; Sari Ponzer; Unn-Britt Johansson; Lina Benson; Klas Karlgren
Journal:  J Interprof Care       Date:  2012-10-08       Impact factor: 2.338

6.  Assessment of a generalizable methodology to assess learning from manikin-based simulation technology.

Authors:  Dominic A Giuliano; Marion McGregor
Journal:  J Chiropr Educ       Date:  2014-02-27

7.  Cost savings from reduced catheter-related bloodstream infection after simulation-based education for residents in a medical intensive care unit.

Authors:  Elaine R Cohen; Joe Feinglass; Jeffrey H Barsuk; Cynthia Barnard; Anna O'Donnell; William C McGaghie; Diane B Wayne
Journal:  Simul Healthc       Date:  2010-04       Impact factor: 1.929

8.  A cost-utility analysis of medium vs. high-fidelity human patient simulation manikins in nursing education.

Authors:  Samuel Lapkin; Tracy Levett-Jones
Journal:  J Clin Nurs       Date:  2011-09-15       Impact factor: 3.036

9.  First-year residents outperform third-year residents after simulation-based education in critical care medicine.

Authors:  Benjamin D Singer; Thomas C Corbridge; Clara J Schroedl; Jane E Wilcox; Elaine R Cohen; William C McGaghie; Diane B Wayne
Journal:  Simul Healthc       Date:  2013-04       Impact factor: 1.929

10.  A comparison of error detection rates between the reading aloud method and the double data entry method.

Authors:  Miyuki Kawado; Shiro Hinotsu; Yutaka Matsuyama; Takuhiro Yamaguchi; Shuji Hashimoto; Yasuo Ohashi
Journal:  Control Clin Trials       Date:  2003-10
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