Author(s)
DELICIA.J, JEBARAJ.J
- Manuscript ID: 140243
- Volume: 2
- Issue: 6
- Pages: 606–613
Subject Area: Other
Abstract
Summary background: Cancer is a multifactorial disease associated with intense pain and fatigue. Pain is the main discomfort experienced during cancer treatment. Cancer pain is pain that results from cancer or cancer treatment.Cancer pain may be caused by the cancer or by the treatments and tests used. The kind of pain may vary depending on the cause. The first step in managing cancer pain is understanding the cause.
Objective: This study has aimed at investigating the degree of reduction of pain by NPNS among cancer patients in Coimbatore district. By formulation of hypotheses the investigator tries to testing the relationship between innovative (acceptability, adaptability) and implementation variables (utilisation, satisfaction).Using Spearman’s correlation , Scaffee’s Post hoc test.
Search methodology: In order to justify the application of NPN, a study was conducted to determine the level of acceptability & adaptability behavior among cancer patients with respect to satisfaction variables. In this research, cancer patient were chosen and given NPN treatment. After one year they were asked to answer a survey questionnaire based on acceptability & adaptability based on NPN. Regression analysis was applied to determine the relationship between the cancer patients’ acceptability & adaptability with non-pharmaceutical treatment Scaffee’s post hoc test is used to find out where the difference occurs between different stage of cancer.
Results: The findings showed there was a positive relationship between acceptability and adaptability among cancer patients with respect to utilization and satisfaction. In conclusion, the cancer patients have a positive thought about acceptability & adaptability of NPN.
Conclusion: The implication was acceptability & adaptability were not critical factors for cancer patients in implementing NPN treatment. For future research related to this study, it could introduce the variable study, such as feasibility, applicability etc.