Nursing Education
Conditions
Keywords
Augmented Reality, Oral Mucositis
Brief summary
In recent years, cancer has become one of the leading causes of death worldwide, with an increasing number of people being diagnosed with the disease. Current cancer treatments include surgery, chemotherapy (CT), radiotherapy (RT), concurrent chemoradiotherapy (CCRT), targeted therapy, immunotherapy, and hematopoietic stem cell transplantation (HSCT). While these treatments have improved survival rates for many patients, they often lead to adverse side effects, one of the most common being oral mucositis (OM). Oral mucositis in cancer patients differs from general types of oral ulcers, primarily caused by the toxicity of chemotherapy drugs and radiation therapy, leading to extensive damage to epithelial cells. This study aims to validate the effectiveness of situational augmented reality-assisted instruction in an educational intervention program for oral mucositis care in enhancing nursing personnel's knowledge of oral mucositis care, oral mucositis care abilities, clinical reasoning skills, and learning engagement. A randomized clinical trial (RCT) was conducted using convenience sampling, targeting nursing personnel from cancer-related units at a teaching hospital in northern Taiwan. A follow-up study with repeated measures in two groups was performed. Self-developed scales based on relevant literature and expert recommendations were used to assess knowledge of oral mucositis care and self-evaluated oral mucositis care abilities. Additionally, the Clinical Reasoning Scale (CRS) by Huang et al. (2023) and the Learning Engagement Scale revised by Chiu (2020) were employed as research tools. Data were analyzed using SPSS version 29.0, with descriptive statistics including frequency distribution, percentage, mean, and standard deviation. The results of this study will provide relevant institutions and educational training units with references for the content and assessment of oral mucositis care courses for cancer nursing personnel, and further applications of the research findings.
Interventions
OTHERSituational Augmented Reality-Assisted Teaching
Using situational augmented reality-assisted teaching as a case study, learners are presented with varying grades of oral mucositis. Learners then perform appropriate care for each grade of mucositis. Through clinical reasoning, they select suitable interventions, and finally, directly observe changes and outcomes in the patient's oral mucosa.
OTHERClassroom Teaching
Classroom Teaching and Case Sharing Introduction to Updated Oral Mucositis Guidelines and Care Management of Common Oral Mucositis Complications Case Sharing on Oral Mucositis Complication Management: Researchers
Sponsors
Mackay Memorial Hospital
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
SINGLE (Subject)
Eligibility
Sex/Gender
ALL
Age
20 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Cancer-related nursing staff from a medical center in northern Taiwan. * Individuals willing to participate in this study and who have signed the informed consent form.
Exclusion criteria
* Nursing staff from non-cancer-related departments or departments not included in the eligibility criteria.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The Effects of Contextual-Based Augmented Reality Facilitated Education in Promoting Oral Mucositis Care among Nurses | 2 months | First Outcome Measures: \*\*Oral Mucositis Care Knowledge Scale\*\* This study will assess Oral Mucositis care knowledge using the \*\*Oral Mucositis Care Knowledge Scale\*\*. The scale ranges from \*\*0 to 100\*\*, with higher scores indicating \*\*better\*\* knowledge levels. The assessment will be conducted at \*\*baseline and post-intervention\*\* to measure changes in Oral Mucositis care knowledge over time. Time Frame: 2months. |
Secondary
| Measure | Time frame |
|---|---|
| Clinical Reasoning Scale Description | The scale ranges from 16 to 80, with higher scores representing better clinical reasoning ability. Measurements will be taken before and after the intervention to assess changes in clinical reasoning performance. Time Frame: 6months. |
Countries
Taiwan
Outcome results
None listed