Introduction: Evidence suggests that end-stage renal disease (ESRD) significantly affects general health in the patients, causing their general health to be poorer compared to the general population. The Roy adaptation model (RAM) is the best one for ESRD patients. Objectives: The present study aimed to determine the effect of a RAM-based care plan on general health in hemodialysis patients. Patients and Methods: This randomized controlled clinical trial conducted on 60 hemodialysis patients in Iran. The data collected using a demographic questionnaire and the general health questionnaire-28 (GHQ-28). In the intervention group, the Roy assessment form was completed and the RAM-based care plan was then trained in four group sessions over 4 weeks. Individual sessions were also held if required and patients followed-up for 2 weeks. The control group received only routine care. At the end of the follow-up, general health was re-assessed in the patients. The findings were analysed using t test, the chi-square test and the McNemar test. Results: Despite observing no significant differences between the two groups in terms of general health levels before the intervention (P=0.530), the difference was significant after the intervention (P=0.028), since the mean score of general health decreased by 4.07 in the intervention group compared to before the intervention (P=0.003). The intervention significantly affected the subscales of somatic symptoms (P=0.013), anxiety and insomnia (P=0.006), social dysfunction (P=0.016) and depression (P=0.031). Conclusion: The findings suggested the positive effects of using the RAM on general health in hemodialysis patients. The RAM is therefore recommended that be used as a holistic care approach to improving general health in these patients
Background: Internet addiction, which is a result of increasing inevitable use of the Internet and smart phones, causes discomfort and serious social and occupational problems, consequently that can lead to some mental disorders such as depression. On the other hand, depression and Internet addiction are factors affecting students' academic performance. Objective: This study aimed to investigate Internet addiction, depression and their relation with academic failure in students of Semnan Allied Medical Sciences. Methods: In this cross-sectional study, all students who were in the 3rd and higher semesters were examined. Three questionnaires (demographic, Beck Depression Inventory, and the Internet Addiction Test by Young) were used. The academic failure was assessed using the student's grade point average in the previous 3 semesters. Collected data was analyzed through descriptive and inferential statistics methods at significance level of 0.05. Results: 170 students participated in this study. The correlation between depression and grade point average changes was negative (r=-0.19) and significant (p=0.01). Moreover, a positive (r=0.39) and significant (p=0.01) correlation was observed between depression and Internet addiction scores. Binary logistic regression analysis also indicated that students' depression score (P=0.04, OR1.04, CI 95%=1-1.08) and sex (P=0.008, OR=0.37, CI 95% = 0.17-0.77) can predict academic failure. Conclusion: Due to the observation of Internet addiction and depression in the students and effects of these disorders on their academic performance, it is necessary to educate students and families, identify risk factors and provide solutions to deal with it.
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