Psychology
Masoumeh Heidarian; Hasan Ahadi; Jalal Shakeri; Amir Hossein Hashemian
Volume 26, Issue 2 , July and August 2019, , Pages 247-253
Abstract
Aim and background: Delay in treatment of psychotic symptoms is associated with increase in time to recovery, response to treatment, and more relapse rate of psychosis. The purpose of this study is to determine clinical factors associated with delay in treatment of the first symptoms of psychosis in ...
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Aim and background: Delay in treatment of psychotic symptoms is associated with increase in time to recovery, response to treatment, and more relapse rate of psychosis. The purpose of this study is to determine clinical factors associated with delay in treatment of the first symptoms of psychosis in patients referred to Farabi Hospital of Kermanshah.Materials and methods: This is a descriptive cross-sectional study carried out on 94 patients, 51 male and 43 female, who experienced the first psychotic attack, using available sampling method. Required data are extracted from a clinical interview based on an approved clinical checklist completed by specialists and experts in psychiatry and psychology. Then, descriptive statistics indices including frequency, mean, standard deviation, median, and t-test are summarized and analyzed using SPSS software (version 24).Findings: mean delay in treatment of the first psychotic symptoms was 48.5±65.6 weeks. There was a significant difference between the patients’ history of drug abuse (P-value=0.001), history of anxiety disorder (P-value=0.003), existence of negative symptoms (P-value=0.001), disorganized speech (P-value=0.001), disorganized behavior (P-value= 0.001), on one hand, and delay in treatment of the first psychotic symptoms, on the other hand.Conclusion: Clinical factors associated with delay in treatment of the first symptoms of psychosis are introduced as important factors affecting the level of mental health and full recovery of the affected patients; thus, identifying these factors along with proper planning and interventions based on providing health care services can promote the quality of the patients’ psychological well-being.
Nursing
Moossa Sajjadi; Ali Mohammadpour; Mahsa Mahmoudi
Volume 24, Issue 3 , July and August 2017, , Pages 205-210
Abstract
Background: Some of the problems of patients with cancer are non-adhering to treatment and uncertainty in illness, which are affected by psychological issues and different patient characteristics. So by paying clinical attention to these factors, prognosis and ultimately the quality of life can ...
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Background: Some of the problems of patients with cancer are non-adhering to treatment and uncertainty in illness, which are affected by psychological issues and different patient characteristics. So by paying clinical attention to these factors, prognosis and ultimately the quality of life can be improved.This study was aimed to determine correlation between uncertainty in illness, demographic and clinical factors with adherence to treatment in patients with cancer.
Materials and Methods:This is a correlation study done on 150 patients with cancer referred to Qaem and Omid hospitals of Mashhad. Sampling was based on accessible model and according to criteria of study. The data were collected by using demographic, Michel 's uncertainty in illness and MARS adherence to treatment questionnaire, then analyzed by SPSS version 21,descriptive statistics and statistical tests of Pearson, Spearman and multiple regression with P value<0/05.
Results:The results showed there is a significant negative correlation between uncertainty in illness and adherence to treatment(r=-0 /367, p<0/001).The multiple regression analyzed uncertainty in illness, metastasis, location, age and income patients as predictors of adherence to treatment so that 46% of its variance is explained by these variables.
Conclusion: Because of significant correlation between uncertainty in illness and adherence to treatment with significant predictive capability of uncertainty in illness for adherence to treatment, nurses and health care providers with reducer strategies of uncertainty in illness can improve adherence to treatment and ultimately quality of care and life in these patients.