Published in

Hindawi, Psychiatry Journal, (2020), p. 1-6, 2020

DOI: 10.1155/2020/8986014

Links

Tools

Export citation

Search in Google Scholar

Relapse and Clinical Characteristics of Patients with Bipolar Disorders in Central Ethiopia: A Cross-Sectional Study

Journal article published in 2020 by Habte Belete, Tilahun Ali ORCID, Getasew Legas, Lenin Pavon
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

Background. Bipolar disorder is a severe mental illness and has huge morbidity and mortality. Relapse is a challenging treatment failure in patients with mental illness, especially in patients with bipolar which causes high economic and social burdens. In the mental health delivery system, relapse is common and can be defined as becoming ill again after apparent recovery and a worsening condition of psychiatric patients. Due to psychiatric patients that may stop medication on their own in contrary to the advice of mental health professionals, relapse of mood episodes, delayed remission, and residual symptoms usually leads to hospitalization, increased suicide risk, and/or impede psychosocial recover. Therefore, understanding the nature of relapse in patients in low-income countries helps to prevent recurrence and related health care expenses. Objective. The objective of this study was to assess the prevalence and factors associated with relapse among patients with bipolar disorders in central Ethiopia. Method. Facility-based cross-sectional study was conducted from May to June 2015 at Amanuel Mental Specialized Hospital. Relapse was calculated among 400 samples of people with bipolar disorder, and systematic random sampling was used to select the study participants. Oslo’s social support scale and ASSIST were used to identify factors with relapse, and a binary and multivariable logistic regression analysis model was performed to control the confounding factors. Odds ratios (OR) with the corresponding 95% confidence interval (95% CI) were determined to evaluate the strength of association. Results. The prevalence of relapse was 71% among patients with bipolar disorder. The longer morbidity (longer than 5 years) had a higher risk of relapse [ adjusted odd ratio AOR = 3.91 , 95% confidence interval (CI): 2.44 to 6.27], while good medication adherence found to be a protective factor for relapse [ AOR = 0.39 , 95% CI: 0.22 to 0.72]. Conclusion. The prevalence of relapse was found pretty high among patients with bipolar disorders (71%). Working on treatment adherence and controlling the psychopathology is important to prevent relapse among bipolar patients.