The effect of care plan based on Roy Adaptation Model on the spiritual well-being of women with breast cancer

Background and purpose: Roy Adaptation Model is one of the nursing theories applied in the adaptation of patients suffering from chronic diseases. Breast cancer is the most prevalent kind of cancer among women in Iran. The present study aims at investigating the effect of care plan based on Roy Adaptation Model on the spiritual well-being of women with breast cancer. Method: The present study is a semi-experimental study conducted on 80 breast cancer female patients referring to Ahvaz Naft Hospital in 2017. The samples were randomly divided into two 40-patient groups; experimental group and control group. Data collection was conducted in two groups by using demographic information questionnaire, Roy Adaptation Model's recognition and assessment form, and Spiritual Well-being Scale (SWBS) developed by Paloutzian and Ellison. Data analysis was conducted in SPSS-20 by using t-test, Mann-Whitney U test, and Chi-squared test. Findings: Before conducting the intervention, there was no significant difference between two groups (experimental and control) in terms of the mean of spiritual well-being scores. However, the post-intervention spiritual well-being score of the experimental group (99.99 +/- 4.93) increased significantly in comparison to that of the pre-intervention (73.37 +/- 4.11) (P=0.001). Moreover, the post-intervention spiritual well-being score of the control group (72.02 +/- 3.58) decreased in comparison to that of the pre-intervention (73.10 +/- 4.25). However, this decrease was not statistically significant. Conclusion: The findings of the present study indicated the effectiveness of Roy Adaptation Model on the spiritual well-being of women with breast cancer. This model can be used as a comprehensive guideline for promoting the status of spiritual well-being of women with breast cancer. It is recommended to investigate the effect of Roy Adaptation Model on individuals suffering from other chronic diseases