Indian Journal of Palliative Care
Open access journal 
  Print this page Email this page   Small font sizeDefault font sizeIncrease font size Users online: 101  
     Home | About | Feedback | Login 
  Current Issue Back Issues Editorial Board Authors and Reviewers How to Subscribe Advertise with us Contact Us Analgesic Prescription  
  Navigate Here 
 »   Next article
 »   Previous article
 »   Table of Contents

 Resource Links
 »   Similar in PUBMED
 »Related articles
 »   Citation Manager
 »   Access Statistics
 »   Reader Comments
 »   Email Alert *
 »   Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed219    
    Printed2    
    Emailed0    
    PDF Downloaded13    
    Comments [Add]    

Recommend this journal

 

 ORIGINAL ARTICLE
Year : 2020  |  Volume : 26  |  Issue : 3  |  Page : 312--318

Effectiveness of high-fidelity simulation in nursing education for end-of-life care: A quasi-experimental design


1 School of Nursing and Midwifery, Aga Khan University, Karachi, Pakistan
2 College of Health Sciences, University of Sharjah, Sharjah, UAE
3 College of Nursing, King Edward Medical University, Lahore, Pakistan

Correspondence Address:
Salma Amin Rattani
Aga Khan University School of Nursing and Midwifery, Karachi
Pakistan
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/IJPC.IJPC_157_19

Rights and Permissions

Background: Providing end of life (EOL) care is a component of palliative care but dealing with dying patients and their family members is stressful for the healthcare providers. To prepare them for providing EOL care, the high-fidelity simulation could be used as a pedagogy in which real-life scenarios are used on the computerized manikins mimicking the real patients. Aims: The aim of this study was to measure the effectiveness of high-fidelity simulation to teach EOL care in the palliative nursing course in the undergraduate nursing education program at the School of Nursing and Midwifery at Aga Khan University which is private university in Karachi, Pakistan. Methods: This study was approved by the ethics review committee of Aga Khan University. It was hypothesized that exposure to high-fidelity simulation will lead to an increased positive attitude in participants towards the care of dying. A quasi-experimental design was used. In line with the design, there was no control group. The same group of students (n = 42) were assessed through Frommelt Attitudes Toward Care of the Dying (FATCOD) Part B assessment tool. Permission for using this tool was obtained from Dr. Katherine Frommelt, the author of this tool. Research participants filled this tool before and after the intervention, i.e., providing EOL care to a patient in a high-fidelity simulation lab. Results: Out of 30-FATCOD items, significant attitude change was detected on 11-items of which 8 were positively worded statements and 3 were negatively worded statements. As per the hypothesis, it was expected for the positively worded statements that the mean score for the posttest would be significantly greater than the pretest mean score (pretest score < posttest score). The hypothesis was proved for items 1, 4, 10, 18, 22, 25, 27, and 30 as their t-value was significant at 0.05 alpha value (one-tailed). For the negatively worded statements, it was expected that the mean score for the posttest would be significantly lower than the pretest (pretest score > posttest score). The hypothesis was proved for items 5, 6, and 11 as their t-value was significant at 0.05 alpha value (one-tailed). Conclusion: In this research teaching, EOL care through high-fidelity simulation had improved the attitudes of students toward providing care. This pedagogy also provided the participants with a learning opportunity to deal with their own emotions. These findings provide a way forward for teaching EOL and other complex skills of clinical practice.






[FULL TEXT] [PDF]*


        
Print this article     Email this article

Online since 1st October '05
Published by Wolters Kluwer - Medknow