Vol. 4, Issue 2, Part C (2018)
Guided imagery- Effectiveness in cancer fatigue in patients undergoing chemotherapy: A clinical trial
Guided imagery- Effectiveness in cancer fatigue in patients undergoing chemotherapy: A clinical trial
Author(s)
Dr. Renu Pattanshetty, Caeteana C Moniz and Dr. Sandeep Patil
AbstractBackground: Cancer fatigue is a detrimental factor in the prognosis and overall quality of life in cancer patients. Estimates show that more than 50 percent of people with cancer experience cancer-related fatigue(CRF) which is often said to be the most common and distressing symptom reported by people living with cancer which is attributed either to the disease process or the treatments undertaken.
Objective: The objective of the present study was to evaluate the effects of guided imagery on cancer related fatigue, anxiety and quality of life in patients undergoing chemotherapy treatment.
Settings and design: The study was undertaken in a tertiary health care centre for a period of (six) 6 months
Methodology: Fifteen (15) patients undergoing chemotherapy treatment were recruited in the clinical trial based on the inclusion and exclusion criteria. The outcome measures were Fatigue symptom inventory scale, Hamilton anxiety questionnaire and EORTC QLQ C-30 scale which were computed at baseline and after the end of the treatment and the scores were recorded. Guided imagery in the form of an audio was given to the patients and they had to listen to it thrice a week for a period of three weeks.
Results: Guided Imagery was effective in decreasing fatigue, anxiety and improving quality of life scores (p<0.01).
Conclusion: Guided Imagery may be used as a strategic tool to reduce the levels of fatigue, anxiety and improve quality of life for patients undergoing chemotherapy treatment in the clinical setup of the Indian Scenario.
How to cite this article:
Dr. Renu Pattanshetty, Caeteana C Moniz, Dr. Sandeep Patil. Guided imagery- Effectiveness in cancer fatigue in patients undergoing chemotherapy: A clinical trial. Int J Appl Res 2018;4(2):141-145.