Enhancing Stoma Care Expertise: Video-Based Training for Nurses in a Malaysian Private Hospital
OBJECTIVE: This study investigated the impact of video-based training on the skills and confidence of registered nurses in performing stoma care at a private Specialist Hospital in Johor Bharu, Malaysia. METHODOLOGY: This study employed a quasi-experimental pre-and post-test design. A total of 109 registered nurses from three wards—General, Medical, and Surgical—participated and were recruited through convenience sampling. The intervention included a video-assisted educational program to enhance stoma care skills and confidence. Confidence levels were measured pre- and post-intervention using the Confidence Scale (C-Scale), a self-administered questionnaire, while skills were evaluated via a competency checklist through simulated procedures. Data analysis was conducted using paired t-tests to assess the effectiveness of the intervention, demonstrating its impact on stoma care competency and nurse confidence. RESULTS: Pre-test results indicated that 97.2% of nurses had low confidence in stoma care, while post-test results showed a significant increase, with 100% of participants reporting high confidence. Similarly, skills performance improved significantly after the training. Both confidence and skill performance scores demonstrated marked improvements, with p-values <0.001, confirming the program's effectiveness. CONCLUSION: The video-based training effectively enhances the confidence and skills of registered nurses, specifically in stoma care, highlighting the value of integrating similar training methods into programs. Implementing video-based training for stoma care provides a scalable, cost-effective approach to continuous professional development in this specialised area, directly supporting enhancing care quality and safety for stoma patients.
Institutions
- Sultan Ismail Specialist Hospital (MY)
- Nilai University (MY)
- Newcastle University Medicine Malaysia (MY)
Publication Details
- Journal
- SHILAP Revista de lepidopterología
- Published
- 2025-04-01
- DOI
- https://doi.org/10.22442/jlumhs.2025.01343
- Primary Topic
- Mathematics, Computing, and Information Processing
- Type
- article
- Field-Weighted Citation Impact
- 0.00