درخت حوزه‌های تخصصی

Purposes: The purpose of this study was to determine the epidemiology of coronavirus anxiety and the demographic factors related to it in Qazvin, Iran. Method: The method used in this study was descriptive-survey. Its statistical population included all Qazvin citizens in the spring of 2020. A total number of 1167 participants were recruited by convenient sampling and via an online questionnaire distributed on social media. They answered the demographic features and corona disease anxiety scale (CDAS) questionnaires.Their data were imported into the statistical software SPSS 25 and analyzed using the descriptive and inferential statistical tests like frequency test, percentile frequency, and Kruskal Wallis. results: The results of the analyses showed that the prevalence of coronavirus anxiety among Qazvin citizens was 13.54%. There was no significant difference between coronavirus anxiety level and its related factors in different “gender” and “educational background” groups. But still, in different “age” and “marital status” groups, a significant difference was found. Discussion: The results of the current study show that as people grow older,coronavirus anxiety level and its related factors increases. Conclusion: it can be concluded that coronavirus anxiety level and its related factors is higher among the older people when compared with the younger ones.

Objective: A great number of patients leave psychotherapy prior to the end of treatment. The present study predicts the premature termination of individual psychotherapy based on patients’ expectations and tolerance and therapists’ competencies with the mediating role of therapeutic alliance. Method: In this descriptive cross-sectional study, 317 patients referred to Mental Health Clinics, Pain Clinics and Substance Use Treatment Centers in Mashhad, Iran were selected by random sampling. The data were collected by Distress/Endorsement Validation Scale, Working Alliance Inventory-Short Revised, the Milwaukee Psychotherapy Expectations Questionnaire, and Outcome Questionnaire. The data were analyzed by SPSS-19 and structural equation modeling with LISREL-8.80 software. Results: The examined model indicated good fitness for the data observed (RMSEA=0.02, GFI=0.99, AGFI=0.99, NFI=1, CFI=1, IFI=1, RMR=0.00253, P value=0.90). Psychotherapy expectations (γ=-0.40) and therapists’ competencies (γ=-0.29) directly influenced the premature termination of individual psychotherapy. Treatment tolerance (γ=-0.17) directly affected the premature termination of individual psychotherapy. Therapeutic alliance (β=-0.13) had an impact on the premature termination of individual psychotherapy. Psychotherapy expectations (γ=0.42) and therapists’ competencies (γ=0.54) significantly influenced the therapeutic alliance, thereby affecting the premature termination of individual psychotherapy. Conclusions: Psychotherapy expectations, treatment tolerance, therapists’ competencies and therapeutic alliance interactively effect in the premature termination of psychotherapy and therefore on the health outcomes of patients. This finding did develop insights into designing the tailored interventions to resolve premature termination and improve the outcomes of psychotherapeutic interventions. Furthermore, clinicians must be concerned with these factors in the clinics and healthcare centers to enhance the successful termination of psychotherapy.