Psychiatry Journal

Psychiatry Journal / 2020 / Article

Research Article | Open Access

Volume 2020 |Article ID 8986014 | https://doi.org/10.1155/2020/8986014

Habte Belete, Tilahun Ali, Getasew Legas, "Relapse and Clinical Characteristics of Patients with Bipolar Disorders in Central Ethiopia: A Cross-Sectional Study", Psychiatry Journal, vol. 2020, Article ID 8986014, 6 pages, 2020. https://doi.org/10.1155/2020/8986014

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

Academic Editor: Lenin Pavon
Received29 Mar 2020
Revised03 Aug 2020
Accepted09 Sep 2020
Published28 Sep 2020

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 [, 95% confidence interval (CI): 2.44 to 6.27], while good medication adherence found to be a protective factor for relapse [, 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.

1. Introduction

Bipolar disorder is a severe mental illness and has a huge morbidity and mortality in the community. Bipolar disorder is strongly associated with suicide ideation (59%), suicide attempts (56%), and up to 19% of patients with bipolar disorder die from suicide during their lifetime [1]. This burden is associated with relapse of the disorders and has a higher family burden to care patients with bipolar disorder than patients with other medical illnesses [2]. In the mental health delivery system, relapse means to become ill again after apparent recovery and a worsening condition of psychiatric patients [3]. 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. Many clinical studies reported that stressful life events always precede the episodes of patients with bipolar disorders [4]. The family-focused psychoeducational treatment appears to be an efficacious adjunct to pharmacotherapy to prevent relapse [5, 6]. Less than optimum parenting and maltreatment histories have been associated with a worse course of bipolar disorders. Risk of relapse in bipolar individuals linked with the psychosocial context of illness, environmental, developmental, and cognitive-related factors [4]. Adjunctive psychological support with the usual psychiatric treatment has a significant reduction in relapse (of about 40%) compared to the standard treatment alone [7]. Relapse has a huge impact on the economic, interpersonal relationship and quality of life of patients as well as their family. Therefore, understanding the nature of relapse in patients in low-income countries helps to prevent recurrence and related health care expenses.

Magnitude of relapse varies in different studies. From a follow-up study, 48.5% of patients with bipolar disorder experienced recurrence. Among those patients with recurrence, 34.7% were manic relapses, and 13.8% were developing either depressive, hypomanic, or mixed episodes [8]. After one year of successful antidepressant response, the risk of depressive relapse in patients with bipolar disorder was 70% compared to those patients who discontinued antidepressants (36%) [9]. A follow-up study conducted indicated that the recovery rate of bipolar disorder was limited with syndromic recovery occurred in 48%, symptomatic recovery occurred in only 26%, and functional recovery in only 24% [10]. Relapse is higher in risky populations like pregnant women and sometimes it reaches up to 71% of mothers with bipolar disorder [11]. In this study, type of diagnosis, earlier onset, more recurrences/year, recent illness, had used antidepressants, and anticonvulsants versus lithium was found as the significant factors.

A community based study conducted in Ethiopia, lifetime prevalence of bipolar I disorder was estimated 0.6% for men and 0.3% for women [12]. From 312 patients with bipolar disorders, during follow-up, 65.9% of them experienced a relapse within 2.5 years (47.8% manic, 44.3% depressive and 7.7% mixed episodes, and 31.1% had persistent illness) [13]. In this study, female gender predicted depressive relapse, and male gender predicted manic relapse, while being on psychotropic medication that was associated with remission. Despite this higher relapse, there is no information in Ethiopian clinical settings on relapse among patients with bipolar disorders. Therefore, the aim of this study was to assess the magnitude of relapse and associated factors among patients with bipolar disorders at Amanuel Mental Specialized Hospital.

2. Methods and Materials

2.1. Study Design, Study Population, and Sampling

A cross-sectional study was conducted among bipolar patients who were attending at Amanuel Mental Specialized Hospital outpatient clinic. It has 15 outpatient departments in which 8 of them serve an average of 11,760 bipolar cases per year and other patients. Those patients who were clinically diagnosed (with Diagnostic and Statistical Manual of Mental Disorders IV-TR edition) for bipolar disorder (any type of bipolar disorder) were the source population. The study population was all patients who were attending outpatient clinics during the data collection time. Participants whose age 18 years and above were included. Patients who were incapable to communicate with data collectors were excluded. Sample was taken by considering 50% of the proportion of relapse in a single population proportion for unknown prevalence, with 5% error and 10% nonresponse rate. Among the 423 potential participants, 400 had completed the interview, but 10 denied participating, 8 failed to complete the interview, and 5 were excluded. The systematic random sampling technique was used to select study participants from 954 bipolar patients who visit the hospital per month averagely, and the sampling fraction was two. The data were collected by well-trained nurses by patient chart review and interviewing patients and their families using a questionnaire which is translated to a local language (Amharic, the national working language of Ethiopia), from May to June 2015.

2.2. Instrument

Data was collected by the structured interview questionnaire. We assessed relapse based on the DSM-IV-TR relapse definition criteria [14]. Bipolar patients and their primary caregivers were asked about the numbers of relapses. In addition to that, review was done to identify the recorded numbers of relapses. Study participant wealth was assessed by using principal component analysis in which eigenvalues greater than 1 were used as extractions, and the factors to extract were fixed at five (from lowest to highest). Current substance uses were assessed by adopted alcohol, smoking, and substance involvement screening test [15]; social support was assessed by the Oslo-3 Social Support Scale [16]; drug adherence was assessed by using the Medication Adherence Rating Scale (MARS) [17], and perceived stress was assessed by using of the Perceived Stress Scale 10 items tool [18] that focuses on patients who had experienced stressful life events. Psychopathological variables, such as current manic, depressive, and psychotic symptoms, were assessed by reviewing the patients’ chart and self-report.

2.3. Data Collection Procedures

The questionnaire was pretested on a sample equal to 5% of the total sample size that were not part of the main study.

Face-to-face interviews and document review were used to collect the data for this study. Three BSc psychiatry nurses and three psychiatry postgraduate students attending their studies in the master’s program in integrated community and clinical mental health (ICCM) were recruited as data collectors after the 3-day training was given, and the principal investigators supervised the data collection. Each data collector reviewed the card and recorded the card number of respondents who had completed the questionnaire and shared it to all the data collectors to avoid redundancy of the participants. The principal investigators and the supervisors monitored the data quality, checked completeness of the questionnaires, and feedback was given to data collectors on a daily base.

2.4. Data Analysis

Data were checked for completeness and entered to and clean up with Epi Data version 3.1. Then, after the double entry verification, the data were exported to SPSS version 20 for analyses. The dependent variable (relapse) and independent variables were entered into bivariate logistic regression in order to determine the statistical association between dependent and independent variables. All variables associated with the dependent variable with less than 0.25 in the bivariate analyses of the binary logistic regression were entered into the multivariate models of the logistic regression by the enter method in order to identify the interaction between variables and to control for potential confounders. Multivariate logistic regression analysis was used to identify factors associated with relapse. Strength of association was presented by adjusted odd ratio (AOR) with 95% confidence interval (CI). less than 0.05 in the multivariate analyses were used to select statistically significant variables.

3. Results

A total of 400 bipolar patients were successfully interviewed, and 228 (57%) of them were females. Majority of the participants, 287 (71.8%), were from the urban (Table 1).


CharacteristicsFrequencyPercent (%)

Sex
 Male17243
 Female22857
Living area
 Urban28771.7
 Rural11328.3
Age
 18-247418.5
 25-3415438.5
 35-4410426
 45 -544210.5
 55 and above266.5
Education
 Unable to read and write6516.3
 Educated33583.7
Religion
 Orthodox23659
 Muslim9924.7
 Protestant5914.8
 Catholic61.5
Marital status
 Unmarried22556.2
 Married17543.8
Ethnicity
 Amhara13934.7
 Oromo13233
 Gurage7919.8
 Tigray225.5
 Others287
Job
 Employed29373.2
 Unemployed10726.8
Living condition
 With family34987.2
 Alone5112.8
Wealth index
 Lowest8020.0
 Second8521.3
 Middle7518.7
 Fourth8621.5
 Highest7418.5

Others (Wolaita, Sidama, Gamo).
3.1. Clinical Characteristics and Psychopathology of Patients

From the total, 146 (36.5%) of them had depressed feeling; 98 (24.5%) grandiosity and 119 (29.8%) had suspiciousness. From the total participants, 208 (52%) of them had high perceived stress, 133 (33.3%) of them had poor social supports, and 152 (38%) of them had poor family relationship due to their illness (Table 2).


VariableFrequencyPercentage (%)

Age at the onset of 1st episode
 Less than 18 years6716.8
 18 to 24 years15538.7
 Older than 24 years17844.5
Mood stabilizer
 Yes30476
 No9624
Antidepressant
 Yes5614
 No34486
Antipsychotic
 Yes25964.7
 No14135.3
Social support (Oslo-3)
 Poor13333.2
 Moderate18245.5
 Strong8521.3
Duration of morbidity
 Up to five years18947.3
 Longer than five years21152.7
Perceived stress (PSS)
 Low10927.2
 Average8320.8
 High20852
Medication adherence (MARS)
 Low10927.3
 Average16641.5
 High12531.2
Alcohol consumption
 Yes11228
 No28872
Tobacco smoking
 Yes7719.3
 No32380.7
Khat chewing
 Yes6716.8
 No33383.2
Somatic symptoms
 Yes379.3
 No36390.7
Anxiety symptoms
 Yes13233
 No26867
Perceptual disturbance
 Yes5714.3
 No34385.7
Guilty feeling
 Yes14235.5
 No25864.5
Mannerism
 Yes6015
 No34085
Grandiosity
 Yes9824.5
 No30275.5
Depressive symptoms
 Yes14636.5
 No25463.5
Hostility
 Yes10025
 No30075
Suspiciousness
 Yes11929.8
 No28170.2
Hallucination
 Yes6315.8
 No33784.2
Psychomotor disturbance
 Yes4310.8
 No35789.2

MARS: Medication Adherence Rating Scale; Oslo-3: Oslo Social Support Scale; PSS: Perceived Stress Scale.
3.2. Prevalence of Relapse

Among the total 400 patients, 284 (71%) of them had relapse. In terms of episode, depressive episode was the highest which was accounted for 192 (48%); manic episode was 98 (24.5%), and mixed episode was 104 (26%) of the total sample. Among the substance users, relapse was found common and in which 60/77 (77.9%) of tobacco user, 54/67 (80.6%) of khat chewers, and 85/112 (75.9%) of alcohol users had a relapse.

3.3. Contributing Factors

After multivariate analysis of relapse in relation to all independent variables, only poor drug adherence and longer duration of morbidity (longer than 5 years) were found to be statistically significant (Table 3).


Explanatory variablesRelapseAdjusted odd ratio (95% CI) value
YesNo

Living circumstance
 With family2471021.000.804
 Alone37140.91 (0.44, 1.9)
Sex
 Male124481.000.710
 Female160680.91 (0.57, 1.47)
Job
 Employed207861.000.642
 Unemployed77301.14 (0.66, 1.96)
Age
 18-2445291.00
 25-34102521.13 (0.59, 2.14)0.717
 35-4478231.62 (0.76, 3.43)0.209
 45 -543482.27 (0.83, 6.2)0.111
 55 and above2272.52 (0.72, 8.85)0.149
Marital status
 Married119561.000.197
 Unmarried165601.36 (0.85, 2.16)
Poor family relation
 Yes166821.45 (0.89, 2.37)0.135
 No11834100
Medication adherence
 Poor88211.00
 Moderate107590.56 (0.29, 1.10)0.076
 Good89360.39 (0.22, 0.72)0.002
Duration of illness
 ≤5 years108811.00
 >5 years176353.91 (2.44, 6.27)0.0001

Statistically significant.

4. Discussion

Prevention of relapse for mental disorders in low and middle-income countries recommended stepped care with a combined model for integration of drug and psychological treatments [6]. Prevalence of relapse was found higher than previous report, 65.9% in Ethiopia [12], similar with pregnancy mothers with bipolar disorder (71%) [10]. With methodological and setting differences, the current study clearly magnifies the current high magnitude of relapse in low-income settings.

Patients who had more than five years of morbidity had a higher chance of relapse [, 95% CI (2.44, 6.27)], which is contradicted from the previous community study. Even if bipolar disorders have a double risk of relapse than unipolar depression, in bipolar patients, the transition from states of remission to new episodes is linear and has a constant risk of recurrence over the lifespan [19]. This study supported by the previously community-based study which states that bipolar disorder may run a severe clinical course in developing country settings than in developed countries [12]. Even from the follow-up study, longer intake episodes predicted greater chronicity during the long-term follow-up period, and this leads to have a new onset of psychopathology in their course of the illness [20]. Patients who had good adherence to their medication had reported low chance of relapse [, 95% CI (0.22, 0.72)]. In this study, achieving a good treatment adherence found clinically important to prevent relapse and able to reduce by 61% of relapse among participants. Basically, improving medication adherence with delivery of psychoeducation and enhancement of treatment adherence is a necessary and promising management component to prevent relapse in patients with bipolar disorders [21]. Adherence to treatment for bipolar disorder should be managed by clinicians, and this may be enhanced by interventions that address issues of appropriately taking medications. Greatest desire outcomes working on adherence should be integrated into the medication management of bipolar illness, which helps to prevent relapse. Prevalence of relapse was found high and most importantly, patients who had longer than five years of morbidity found risk for relapse while those who had good adherence to their treatment was significantly protective. Finally, this study will initiate future studies in low-income countries concerning to mental health care and prevention of relapse.

4.1. The Strength and Limitation of the Study

Our study has several strengths. First, the study assesses the prevalence of relapse among bipolar patients, which was not previously studied. Second, we used validated and standardized tool for the assessment of independent variables. Since the cross-sectional study design could not establish clear risks of relapse in bipolar patients and does not test time to event and the exact time of relapse was not assessed after onset of the illness.

5. Conclusion

The prevalence of relapse was found pretty high among patients with bipolar disorders (71%). Working on treatment adherence and controlling the psychopathology are important to prevent relapse among bipolar patients.

Abbreviations

AOR:Adjusted odd ratio
CI:Confidence interval
MARS:Medication Adherence Rating Scale
Oslo-3:Oslo Social Support Scale
PSS:Perceived Stress Scale.

Data Availability

The data used to support the findings of this study are included within the article.

Ethical Approval

Ethical approval was obtained from Ethical Review Board of University of Gondar and Amanual Mental Specialized Hospital as well as formal permission letter were taken from the administrative staff of the hospital. Confidentiality was maintained through the process by unanimous questionnaire and omitting personal identification.

Written consent was taken from the participants and for those who cannot give consent, written informed consent was obtained from legally authorized representatives before the study.

Conflicts of Interest

The authors declare that there is no competing interest.

Authors’ Contributions

HB performed the design of the study and statistical analyses and drafted the manuscript. TA and GL work on the statistical analyses and draft the manuscript.

Acknowledgments

We acknowledge the study participants for their genuine participations. We would like to thank Amanuel Mental Specialized Hospital staffs for their genuine cooperation during the study period. We also thank Amanuel Mental Specialized Hospital and University of Gondar for funding this work.

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Copyright © 2020 Habte Belete et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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