Enhancing Clinical Reasoning Competency

NCT06373172 | Completed DMC

• 1 other identifier: 202005-HR-003
• Study Type: interventional
• Target: 37
• Locations: 1 country
• Sites: 1

Brief Summary

Enhancing Clinical Reasoning Competency for Undergraduate Nursing Students Using Virtual Simulation-based Education based on the Rasch model Aims: Clinical reasoning is a core nursing competency that involves analyzing patient-related data and providing appropriate nursing practices. Simulation-based education is effective in improving the clinical reasoning competencies and communication skills of nursing students. This study aimed to verify the effectiveness of virtual simulation-based education.

Conditions

Clinical Reasoning; Communication; Development, Human

Outcome Measures

Primary Outcomes (2)

• Nurses Clinical Reasoning Scale

  The Nurses Clinical Reasoning Scale (NCRS) includes 15 items rated on a five-point Likert scale (1=Strongly disagree, 5=Strongly agree, min:15 \& max:75) (Liou et al., 2016). We used the Korean version of the NCRS in this study (Joung \& Han, 2017). Higher scores indicated better clinical reasoning. Cronbach's α was 0.94 for the original NCRS, and 0.93 for the Korean version of the NCRS.

  4month

• Communication Skills Scale

  The Global Interpersonal Communication Competence Scale (GICC-15) includes 15 items rated on a five-point Likert scale (1= strongly disagree to 5= strongly agree. min:15 \& max:75) (Rubin \& Martin, 1994). We used the Korean version of the GICC-15 (Hur, 2003). Cronbach's α in Hur's (2003) study was 0.72.

  4month

Study Arms (1)

Enhancing Clinical Reasoning Competency for Undergraduate Nursing Students

EXPERIMENTAL

Enhancing Clinical Reasoning Competency for Undergraduate Nursing Students Using Virtual Simulation-based Education based on the Rasch model

Other: virtual simulation-based education program

Interventions

virtual simulation-based education program OTHER

We used "vSim® for Nursing - Nursing Medical-Surgical" as the virtual simulation-based education program. Four modules were included: (a) acute myocardial infarction, (b) diabetes mellitus, (c) transfusion, and (4) asthma. Each module learning sessions was conducted based on scenarios, which consisted of five steps: Suggested reading, Pre-simulation quiz, vSim, Post-simulation quiz, and Guide reflection questions. For each module, the intervention was performed for two hours. The participants attended four module learning sessions and received eight hours of training. Debriefing using guided reflection questions were completed in the form of a team reflection, followed by an instructor-learner discussion and feedback for 20 minutes of each module.

Enhancing Clinical Reasoning Competency for Undergraduate Nursing Students

Eligibility Criteria

• Age: 20 Years - 28 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)

You may qualify if:

• The participants were third- and fourth-year undergraduate nursing students who understood the purpose of the study and voluntarily agreed to participate

You may not qualify if:

• A person who has difficulty communicating or has no willingness to participate

Sponsors & Collaborators

• Tongmyong University: lead

Study Sites (1)

Tongmyong Unoversity

Busan, 48520, South Korea

Location

MeSH Terms

Conditions

Communication

Condition Hierarchy (Ancestors)

Behavior

Study Officials

• Sung Hae Kim, PhD

  Tongmyong University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: OTHER
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant professor

Model Details: This quasi-experimental study used a single-group pretest-posttest design to verify the effectiveness of virtual simulation-based education for undergraduate nursing students.

Study Record Dates

• First Submitted: April 11, 2024
• First Posted: April 18, 2024
• Study Start: May 1, 2020
• Primary Completion: June 1, 2020
• Study Completion: March 1, 2023
• Last Updated: April 18, 2024

Record last verified: 2024-04

Data Sharing

• IPD Sharing: Will not share

Locations

KR (1)