The Effectiveness of Gamified Metaverse-Based Training on Patient Safety for Nursing Students

Recruiting now · Not applicable

Conditions studied: Gamification, Nursing Education, Patient Safety, Mixed Method Implementation Study

In brief

Introduction: Patient safety issues, such as medication errors, healthcare-associated infections, unsafe surgical procedures, and diagnostic errors, can negatively impact the quality of healthcare and patient outcomes due to preventable risks. There is a need for innovative, interactive educational approaches to ensure the lasting acquisition of patient safety competencies in nursing students and to strengthen their transfer to the clinical environment. Aim: This study aims to evaluate the effect of gamified metaverse-based training on patient safety competencies in nursing students and to assess student opinions regarding metaverse-based training. Method: The research will be conducted using a mixed-methods design. The quantitative phase will be an experimental design including intervention and control groups, pre-test-post-test, and a one-month follow-up (retention test). The research will be conducted between February 2026 and May 2026 with second-year students studying in the Spring semester of 2025-2026 at Başkent University Nursing Department in Ankara. According to G\*Power calculations, a minimum sample size of 52 was found; considering a possible 10% loss, the total sample size was planned as 60 students (intervention=30, control=30). All participants will take the Patient Safety Knowledge Level Test (pre-test) and the Patient Safety Competency Self-Assessment Tool before the training. This will be followed by 2 hours of traditional theoretical training on patient safety; the intervention group will also receive gamified metaverse-based training via Spatial.io for two weeks. Post-tests will be administered after the training and one month later. Data collection tools include the Demographic Information Form, the Patient Safety Knowledge Level Test, the Patient Safety Competency Self-Assessment Tool (PSCS), and focus group interviews to be conducted in the intervention group. Quantitative data will be analyzed through within-group and between-group comparisons; qualitative data will be analyzed using thematic analysis, and the findings will be interpreted holistically. Findings (Expected): Gamified metaverse-based training is expected to provide a greater increase in mean scores on the Patient Safety Knowledge Level Test (PSL) and total and sub-dimension scores (knowledge-skills-attitudes) of nursing students compared to the control group, and to support the retention of these results. Conclusion: This study is expected to generate evidence regarding the effectiveness of gamified metaverse-based training in improving patient safety competencies in nursing education and to contribute to the structuring of patient safety training in a more integrated, student-centered, and sustainable manner.

Key facts

Study ID

NCT07394907

Run by

Baskent University

People needed

60

Starts

2026-04-30

Expected to finish

2026-06-30

Last updated by the study team

2026-04-30

Who can join

Age: any. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Voluntarily agreeing to participate in the research,
• Being a second-year undergraduate nursing student,
• Being able to understand and speak Turkish,
• Having healthy hearing, vision, and speech.

You may not qualify if…

• The student voluntarily wishing to withdraw from the study
• The student ceasing to use the metaverse space during the study period
• Filling out the survey form incompletely.

Where it is running

• Baskent University — Ankara, Ankara, Turkey (Türkiye) (enrolling)

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.