Semnan University of Medical Sciences

Research and Technology Vice Chancellor

Dehvan, F. and Najafi, M. and Nobahar, M. and Ghorbani, R. and Amiri, M.J. (2019) Predicting the self-efficacy of patients with stoma based on general health. Koomesh, 21. pp. 123-130. ISSN 16087046

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    Introduction: In addition to increasing survival and improving the quality of life of the patient, ostomy surgery leads to mental, psychological and social isolation. Considerably, having a good general health and high self-efficacy is necessary to cope with stressful situations in these patients. In this way, the purpose of this study was to predict self-efficacy based on general health dimensions in patients with ostomy. Materials and Methods: In this cross-sectional study, 100 patients with ostomy referring to the Iranian Ostomy Society were selected through simple and accessible sampling in 2016. Data were collected by questionnaires of demographic, general health, and stoma self-efficacy scale. Results: Most of the patients (68%) were under the age of 65 years. The mean and standard deviation of the general health and self-efficacy were 28.3 ± 7.6 and 96.6 ± 15.1 respectively. Pearson correlation test showed a positive and significant correlation between self-efficacy with anxiety/insomnia (r=0.357, P=0.001) and physical symptoms (r = 0.191, P < 0.05) dimension, and a negative and significant correlation between self-efficacy and depression (r =-0.279, P = 0.001). The results of stepwise regression showed that insomnia/anxiety, depression and physical symptoms were able to explain 36.8% of self-efficacy changes in these patients. Conclusion: It is concluded that the findings of this study showed that general health status and its dimensions predict self-efficacy in patients with ostomy. This was especially true in patients with lower levels of education and older. © 2019, Semnan University of Medical Sciences. All rights reserved.

    Item Type: Article
    Subjects: R Medicine > R Medicine (General)
    Divisions: Faculty of Medical Sciences > School of Medicine
    Depositing User: Admin User
    Date Deposited: 13 Mar 2019 09:12
    Last Modified: 13 Mar 2019 09:12

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