Abstract
Background
Common mental illness has a substantial impact on seizure control and negatively affects the overall quality of life among individuals with epilepsy. However, there is a dearth of studies that examined the associated factors of common mental illness among epilepsy patients in Ethiopia, particularly in the study area. This study aimed to assess the magnitude and factors associated with common mental disorders in epilepsy patients who attended government health institutions in Bahir Dar city, Ethiopia.
Method
Health institution based cross-sectional study was conducted using a systematic sampling technique among people living with epilepsy in Bahir Dar City Administration. Common mental illness was assessed using a self-reporting questionnaire and a semi-structured questionnaire was employed to collect data on socio-demographic and clinical related characteristics. Data were analyzed using descriptive statistics, univariate logistic regression, and multivariable logistic regression.
Results
The magnitude of comorbid common mental illness among people living with epilepsy was found 35.4%. High magnitude of common mental illness was reported among females (39.9%) when compared to males (32.3%). The most prevalent common mental disorders symptoms include being worried, unhappy feeling, trouble thinking clearly, and difficult to enjoy daily activities. Family history of epilepsy, frequent seizures attacks, side effects of antiepileptic drugs, lack of social support and not adherent to antiepileptic drugs were factors associated with common mental illness.
Conclusions
Common mental illness was found to be prevalent among people living with epilepsy. Therefore, it is recommended that great attention should be given to mental illness besides controlling seizure attacks.
Introduction
Epilepsy is a neurological disorder manifested by episodic disruption of brain electrical activity associated with abnormal body movement, loss of consciousness, and sensory disturbances. World Health Organization (WHO) estimates that fifty million people around the globe are affected by epilepsy, with more than 80% living in the developing world where human and technological resources for care are extremely limited[1, 2]. It is more common in rural areas, perhaps because of higher rates of untreated epilepsy in children, infectious diseases, and low prenatal and postnatal care[3]. Although, epilepsy is more prevalent among young people and older age greater than 60 years, it is not limited to any age group, sex, geographical area, social status, or race [2].
Mental health is the most important component of health that connected closely with the physical and physiological dynamics of the human body[4]. American Psychiatric Association's Diagnostic and Statistical Manual of Mental Disorders fifth edition (DSM-5) defines “Mental Disorder as a syndrome characterized by a clinically significant disturbance in an individual’s cognition, emotion regulation, or behavior that reflects a dysfunction in the psychological, biological, or developmental processes underlying mental functioning”. Mental disorder is commonly associated with substantial distress or impairment in social, occupational, or other essential activities[5].
Mental illness includes common conditions such as depressive disorder, anxiety disorder, psychotic and bipolar disorder. From the total burden of diseases, the disability caused by mental disorder accounts for 25.3% and 33.5% of all years lived in low and middle-income countries, respectively[6].
Psychiatric illnesses presenting in general health care settings among epilepsy patients can be common mental illness like depression, anxiety, somatoform disorders and severe mental illnesses which refers to a group of mental illnesses causing marked disruption in socio-occupational life i.e. schizophrenia and bipolar disorder. Psychiatric comorbidities occur in about one-third of people with epilepsy during the lifespan, and the incidence of these comorbidities are much greater in high-risk groups such as treatment-resistant seizures[7, 8].
The most prevalent psychiatric diagnoses in epilepsy include mood disorders, anxiety disorders, and psychotic disorders. Depression is the top mental illness among epilepsy patients with lifetime prevalence ranges from 20 to 60%, which is consistently higher than the general population with lifetime prevalence rates of 16–20%. It will be the most prevalent cause of disease burden in the world by the year 2030 according to WHO prediction. Anxiety disorders are thought to be the second most common psychiatric disorder in epilepsy with prevalence rates ranging from 11 to 40%. Depression is known to affect the negatively different domains of life such as to disrupt family and friend’s relationships, low productivity at work, and decrease school performance[6, 9, 10].
Common mental illness, in general, has a substantial impact and negatively affect overall psychosocial functioning, quality of life, employment, seizure control, use of the health care system and contribute to adverse effects of antiepileptic medication and other psychosocial problems among individuals with epilepsy. Despite the high prevalence of common mental illness among epilepsy, they remain under-recognized and improperly treated [11].
On the other hand, effective recognition and treatment of common mental illness can improve seizure control among people living with epilepsy. However, the prevalence and factors that might increase common mental illness in patients with epilepsy are not determined well in developing countries, including in Ethiopia. This study aimed to assess the comorbidity of common mental illness among epilepsy patients and the association of this illness with seizure-related and socio-demographic variables.
Methods
Study design and period
The institution-based cross-sectional study was done from May-April, 2016 in Bahir Dar city administration, Northwest Ethiopia.
Study area and population
The study was conducted in Bahir Dar city administration which is the capital city of Amhara regional state. Bahir Dar city is located in Northwest Ethiopia around 565 kilometers from Addis Ababa, the capital city of Ethiopia. The city has a total of 180,174 populations; of these 93,014 are females. The city is divided into 9 sub cities and 17 kebeles. Currently, there are four hospitals (two public and two private), ten health centers (HCs) and many other private health institutions (clinics, pharmacies, and drug shops). The study was carried out in all public health institutions found in the city. The study population was epilepsy patients (≥ 18 years old) who attended the outpatient department during the study period.
Inclusion and exclusion criteria
All people aged 18 years and above who have treatment follow up and volunteer for the interview were included during the study period. Those who were unable to be interviewed because of intellectual disability or communication difficulties were excluded from participating in the study.
Sample size determination and procedure
The sample size was determined by using a formula (n = (Zα/2)2 p (1-p)/ d2) for estimating a single population proportion. Considering 95% Confidence Interval (CI) (Zα/2 = 1.96), 5% margin of error and due to absence of data in the country, the proportion of population living with epilepsy and who had common mental illness was assumed 50%, generated a minimum sample size of 384 for the study. By adding 10% contingency for non-response, a total of 423 study populations were involved.
A systematic random sampling technique was used to select the study subjects in each health institution. Based on the number of epilepsy patients who attended each health institution, the proportional allocation of the total sample size was carried out to attain the required sample size in each health institution.
Data collection procedures and quality control
Data was collected using a semi-structured questionnaire which was translated into the local language Amharic and then translated back into English. The questionnaire comprised sociodemographic characteristics, clinical factors, psychosocial and substance use variables. The dose of antiepileptic drugs, taking a single or combination of anti-epileptic drugs, was collected by reviewing the patient’s chart.
Common mental disorders were assessed using Self-Reporting Questionnaire-20(SRQ-20). The SRQ-20 has been developed by world health organization as an instrument to screen mental health problems in primary healthcare attendants in developing countries[12]. It has been previously validated[13] and used in several studies in Ethiopia[14–18]. The SRQ-20 reflects depressive symptoms, anxiety symptoms, and psychosomatic complaints and has been found to detect probable cases of common mental illness with reasonable accuracy. Each of 20 items is scored 0 or 1.A score of 1 indicates that the symptoms were present during the past month, a score of 0 indicates that the symptoms were absent, with a maximum score of 20[12].
Participants who responded eight or more items positively were regarded as having common mental illness as suggested by other studies[18–22]. The internal consistency of the SQR-20 scale was high (Cronbach’s alpha = 0.91) in the current study.
Social support was assessed using the Oslo 3 item social support scale[23]. The sum of social support Oslo 3 item raw scores has a range from 3–14. A score ranging between 3 and 8 is classified as poor support, a score between 9 and 11 as moderate support, and a score between 12 and 14 as strong support. Lastly, we assessed the current use of substances by asking the respondent whether they used or not at least one of the specified substances in the last three months (alcohol, cigarette smoking, chat chewing).
Three clinical nurses and one BSc nurse were responsible to collect data and supervision, respectively for around one-month duration. Two-day training was prepared to orient data collectors and supervisor on the questionnaire to be used, the purpose of the study and how to approach respondents and obtain consent. The questionnaire was pre-tested on 5% randomly selected samples from nearby health center patients. The respondents were interviewed in their language (Amharic). The supervisor was checked for the completeness of questionnaires every day.
Data handling and analysis
The collected data were entered into computers by using Epi- Info version 7 and transferred to SPSS version 20 software computer program. Percentage, frequency, and mean were used to describe the study participants concerning relevant variables. Logistic regression was performed to assess the association between binary outcomes and different explanatory variables. Bivariate analysis was first conducted for each potentially explanatory risk factor. Variables that satisfied p-value < 0.2 were selected for further analysis using multiple logistic regression models. The strength of association was interpreted using the odds ratio and confidence interval. P < 0.05 was considered statistically significant in this study.
Ethical consideration
Ethical clearance was obtained from the Research Ethical Review Committee of Bahir Dar University College of Medicine and Health Sciences, and permission and supporting letter from Amhara regional state health bureau. The letter was submitted to each health institution before data collection. Written informed consent from each study participants were obtained after a clear explanation about the purpose of the study during data collection. The respondents were given the right to refuse to take part in the study as well as to withdraw at any time during the study. Refusal to participate did not result in loss of medical care provided or any other benefits. Privacy and confidentiality were maintained throughout the study by interviewing the patient alone and by using code instead of the name.
Results
Socio-demographic characteristics
Three hundred ninety-eight (398) people living epilepsy were involved in the study, with the response rate of 94%. The mean (standard deviation) age of the respondents was 28.6 (±10.5) years. Around fifty-nine percent (59.0%) of the respondents were males. Almost half of the respondents were single (50.5%) (Table 1).
Table 1. Distribution of participants by socio-demographic characteristics at government health institution in Bahir Dar City, 2017(n = 398).
Variable | Number | Percentage (%) | |
---|---|---|---|
Sex | Male | 235 | 59.0 |
Female | 163 | 41.0 | |
Age | 18–24 | 172 | 43.2 |
25–34 | 136 | 34.2 | |
35+ | 90 | 22.6 | |
Marital status | Married | 159 | 39.9 |
Single | 201 | 50.5 | |
Divorced/Widowed | 38 | 9.5 | |
Residence | Urban | 220 | 55.3 |
Rural | 178 | 44.7 | |
Educational status | Unable to write and read | 134 | 33.7 |
From grade 1–8 | 129 | 32.4 | |
From grade 9–12 | 84 | 21.1 | |
Diploma and above | 51 | 12.8 | |
Occupation | Government employee | 30 | 7.5 |
Merchant | 29 | 7.3 | |
Farmer | 94 | 23.6 | |
Day labor | 53 | 13.3 | |
House wives | 23 | 5.8 | |
Private employee | 76 | 14.6 | |
No Job | 47 | 11.8 | |
Others | 64 | 16.1 | |
Monthly income (Ethiopian birr) | <500 | 94 | 23.6 |
500–799 | 86 | 21.6 | |
800–1408 | 119 | 29.9 | |
>1408 | 99 | 24.9 | |
Living condition | Alone | 67 | 16.8 |
With family | 314 | 78.9 | |
With friend/Homeless/others | 17 | 4.3 |
Clinical characteristics of the respondents
From a total of 398 respondents, nearly one fifth (18.6%) of the respondents have a family history of epilepsy. Among patients who had a family history of epilepsy, more than half (51.2%) of them had common mental illness comorbidity. From chart review, four antiepileptic drugs were prescribed in outpatient clinics. The majority of the respondents were using a single drug (78.1%). Almost all (89.9%) epilepsy patients have taken phenobarbitone and the least prescribed one is phenytoin (4.0%). Phenobarbitone and carbamazepine are the most combinations (13.3%), following phenobarbitone and sodium valproate (4.8%) in this study.
Nearly, one-fifth (19.3%) of the respondents have frequent seizure attacks (one and more attacks per month) and among them,54.5% had psychiatric comorbidity (Table 2).
Table 2. Distribution of people living with epilepsy by their clinical status at government health institutions in Bahir Dar City, 2017(n = 398).
Variable Name | Frequency | Percent | |
---|---|---|---|
Family history of epilepsy | Yes | 74 | 18.6 |
No | 324 | 81.4 | |
Duration of illness | ≤5 year | 159 | 39.9 |
6-10year | 121 | 30.4 | |
>10 year | 118 | 29.6 | |
Age at the onset of illness | <10 year | 58 | 14.6 |
10–19 year | 188 | 47.2 | |
20–29 year | 99 | 24.9 | |
Frequency of seizure | ≥ 30 years | 53 | 13.3 |
Frequent(≥1/month) | 77 | 19.3 | |
1–3 seizures/year | 157 | 39.5 | |
Seizure free for 1 year | 164 | 41.2 | |
Type of drugs | one | 311 | 78.1 |
≥ two | 87 | 21.9 | |
Duration on anti-epileptic drugs | ≤5 years | 257 | 64.6 |
6–10 years | 105 | 26.4 | |
>10 years | 36 | 9.0 | |
Side effects of drugs | Yes | 153 | 38.4 |
No | 245 | 61.6 | |
Medication price | Free | 154 | 38.7 |
Buying | 244 | 61.3 | |
Comorbid of chronic medical disease | Yes | 19 | 4.8 |
No | 379 | 95.2 | |
Adherence to drugs | good | 307 | 77.1 |
poor | 91 | 22.9 | |
Current substance use (alcohol, chat, cigarette) | Yes | 8 | 2.0 |
No | 390 | 98.0 |
Magnitude of comorbid common mental illness among people living with epilepsy
The magnitude of comorbid common mental illness among people living with epilepsy who have follow up in Bahir Dar City administration was found to be 35.4% (95% CI: 30.9, 40. 2%). A high prevalence of common mental illness was found among females (39.9%) when compared to males (32.3%) in the current study. The distribution of SRQ-20 showed a mean score of 5.4 (±5.3) with a range from 0 to 19. The most prevalent symptoms of comorbid common mental illness were tense or worried (47.5%), headache (41.2%), unhappy feeling (35.7%) and trouble thinking clearly (34.4%) while the least common symptoms mentioned by respondents were sleeping badly (12.1%) and hands shake (13.6%) (see Table 3).
Table 3. Distribution of SRQ-20 symptoms among people living with epilepsy attending at government health institutions in Bahir Dar City, 2017 (n = 398).
SRQ-20 Items | Yes responses Frequency (%) | No responses Frequency (%) |
---|---|---|
Do you often have headache? | 164(41.2) | 234(58.8) |
Is your appetite poor? | 82(20.6) | 316(79.4) |
Do you sleep badly? | 48(12.1) | 350(87.9) |
Are you easily frightened? | 110(27.6) | 288(72.4) |
Do your hands shake? | 54(13.6) | 344(86.4) |
Do you feel nervous, tense or worried? | 189(47.5) | 209(52.5) |
Is your digestion poor? | 81(20.4) | 317(79.6) |
Do you have trouble thinking clearly? | 137(34.4) | 261(65.6) |
Do you feel unhappy? | 142(35.7) | 256(64.3) |
Do you cry more than usual? | 99(24.9) | 299(75.1) |
Do you find it difficult to enjoy your daily activities? | 127(31.9) | 271(68.1) |
Do you find it difficult to make decisions? | 104(26.1) | 294(73.9) |
Is your daily work suffering? | 93(23.4) | 305(76.6) |
Are you unable to play a useful part in life? | 102(25.6) | 296(74.4) |
Have you lost interest in things? | 85(21.4) | 313(78.6) |
Do you feel that you are a worthless person? | 103(25.9) | 295(74.1) |
Has the thought of ending your life been on your mind? | 105(26.4) | 293(73.6) |
Do you feel tired all the time? | 95(23.9) | 303(76.1) |
Do you have uncomfortable feelings in your stomach? | 113(28.4) | 285(71.6) |
Are you easily tired? | 123(30.9) | 275(69.1) |
Common mental disorder cases (cut-off point ≥8) | 141(35.4) | 257(64.6) |
Factors associated with co-morbid common mental illness
In multiple logistic regression analysis, having a family history of epilepsy, frequent seizures attacks, side effects of antiepileptic drugs, lack of social support and not adherent to antiepileptic drugs were significantly associated factors of comorbid common mental illness among respondents (Table 4).
Table 4. Bivariate and multiple analysis of variables associated with common mental illness among people living with epilepsy at government health institutions in Bahir Dar City, 2017(n = 398).
Variable | Common mental illness | OR with 95% CI | |||
---|---|---|---|---|---|
Yes | No | Crude | Adjusted | ||
Age | 18–24 year | 59 | 113 | 1 | 1 |
25–34 year | 42 | 94 | 0.85(0.52,1.38) | 1.00(0.55,1.83) | |
35 year & above | 40 | 50 | 1.53(0.91,2.58) | 1.34 (0.69,2.59) | |
Sex | Male | 76 | 159 | 1 | 1 |
Female | 65 | 98 | 1.38(0.91,2.10) | 1.60(0.95,2.70) | |
Living condition | With family | 109 | 205 | 1 | 1 |
Alone | 22 | 45 | 0.92(0.52,1.61) | 1.84(0.91,3.72) | |
With friend/homeless | 10 | 7 | 2.68(0.99,7.25) | 1.58(0.40,6.18) | |
Family history of epilepsy | Yes | 38 | 36 | 2.26(1.35,3.78) | 2.57(1.35,4.91)* |
No | 103 | 221 | 1 | 1 | |
Social support | Poor | 87 | 73 | 7.69(3.79,15.60) | 2.94(1.29,6.65)* |
Medium | 43 | 113 | 2.45(1.18,5.07) | 9.05(4.03,20.31)* | |
Strong | 11 | 71 | 1 | 1 | |
Frequency of seizures | ≥ one seizure/month | 42 | 35 | 4.58(2.55,8.24) | 4.53(2.25,9.11)* |
1–3 seizure/year | 65 | 92 | 2.70(1.64,4.42) | 2.47(1.37,4.43) | |
No seizure/year | 34 | 130 | 1 | 1 | |
Side effect of medication | Yes | 74 | 79 | 2.48(1.62,3.80) | 2.12(1.26,3.55)* |
No | 67 | 178 | 1 | 1 | |
Co- morbid disease | Yes | 12 | 7 | 3.32(1.27,8.64) | 2.10(0.65,6.78) |
No | 129 | 250 | 1 | 1 | |
Types of drug | One drug | 104 | 207 | 1 | 1 |
≥two drugs | 37 | 50 | 0.67(0.41,1.10) | 0.99(0.52,1.87) | |
Adherence to drug | good | 77 | 230 | 1 | 1 |
Poor | 64 | 27 | 7.08(4.21,11.89) | 6.99(3.83,12.78) * |
* = P<0.05
Discussion
The magnitude of common mental illness among people living with epilepsy who have treatment follow up at government health institutions in Bahir Dar City administration was found to be 35.4% (using SRQ-20 cut-off point of ≥8). Multiple analysis revealed that having the family history of epilepsy, frequent seizures attacks, side effects of antiepileptic drugs, lack of social support and not adherent to antiepileptic drugs were factors associated with common mental illness.
The magnitude of common mental disorders in the current study is in line with the findings done in Mexico[24] (36.4%) and in India (32.5%)[25, 26]. However, this study has revealed much lower magnitude of comorbidity of common mental illness than the result done in Zambia (53.7%)[27], Brazil (54.1%)[28], India (50.0%)[29], and Turkey(40.5%)[30]. The higher prevalence in Zambia and Brazil might be because of differences in inclusion criteria and instrument variation for screening mental illness. For instance, in Brazil, patients with temporal lobe epilepsy were the study population but our study population includes all types of epilepsy. More psychiatric disturbances are found in patients with temporal lobe epilepsy[31], which suggests limbic dysfunction rather than a psychological adjustment to a chronic epileptic condition. The limbic system is located in the medial parts of the temporal lobes and involved in the regulation of emotional behavior[32]. The majority of our study population were from referral hospital which might have better access to detect their mental illness symptoms and managed early by psychiatry professional specialist. However, Zambia’s study was conducted at primary health clinics.
But, this study was somewhat higher than studies done in Australia(24%)[33], Norway(26%)[34] and Sierra Leone(27.5%)[35].People living with epilepsy in high-income countries might be early identified and treated comorbid mental illness simultaneously while controlling seizure attacks. The other difference might be inclusion criteria, study design, and sample size difference. Our study also showed that comorbidity of mental illness found to be greater than the study done in the general population in Ethiopia(27.9%)[36]. This is supported by another study that psychiatric comorbidities are common in epilepsy often comorbid at rates two-three-fold or higher than in the general population without epilepsy[37]. The other reason may be due to comorbid mental illness is often underdiagnosed and undertreated among epilepsy patients[38]. At last, the quality of life is likely to be worse in epilepsy patients with common mental disorders[39].
The present study showed that a family history of epilepsy was associated with mental illness which is consistent with other studies [40, 41]. The commonest (27%) risk factors identified in the hospital-based retrospective study in Saudi Arabia was the presence of a family history of epilepsy[42]. This might contribute to the individuals' perception of illness as they gained from their family. The other reason might be due to the individuals who have a family history of epilepsy may witness seizure attacks that increase mental distress as thinking shortly developing such type of attacks. Moreover, epilepsy and mental illness may share a common genetic predisposition. This is supported by the magnitude of mood disorders that were found high among people living with epilepsy who had a relative with focal epilepsy[41]. Common mental disorders found to be higher in epilepsy patients and people with common mental disorders have been more likely to suffer from epilepsy[39].
This study also showed that poor social support has a significant association to increase odds of developing a mental illness which is supported by another study[43]. Participants who have poor social support was contributed to greater perceived stress and depression. They also go through stressful conditions and unable to cope with this easily[44].Studies revealed that providing good social support can protect individuals from the feeling of suicidal thought and attempt, worthiness during the times of an unstable situation and decreases feelings of despair[45, 46]. This is evidenced in the previous community-based study in Ethiopia showed that providing a high level of psychological support protect the individuals from developing common mental illness by 50%[47].
Frequent seizure attacks were associated with common mental illness which is consistent with other studies[48–51]. Many epilepsy patients become fearful when they have seizure attacks in public place: one of the most awful things for epilepsy patients, felt ashamed about their unpredictable seizure attacks may be associated with socially unaccepted sign like incontinence of feces, urine, jerking movements, bite of tongue or cheek may occur and bloody saliva may come from the mouth. This might be the community attitude towards epilepsy patients which supported the study done in Southwest Ethiopia. The majority (85.3%) of the community mentioned that epilepsy is a mental disease and around half of them believe that the cause of epilepsy was contagious, and cursed from God[52]. This, in turn, leads to having a high level of perceived stigma (71.6%) among epilepsy patients with strong predictors for subsequent frequent seizures[53]. Comorbidities of mental illness were found in more than two-thirds of the patients who have frequent seizure attacks. It was also more common among generalized seizures in contrast to partial seizures[54] and associated with a poor course of the seizure disorder[55]. Frequent seizure attacks increase suicidal ideation and attempt among people living with epilepsy [46]. Comorbid mental illness affects negatively health-related quality of life and clinical course of epilepsy[56].
Poor adherence to epileptic drugs was a strong predictor of common mental illness which is support by other studies[50, 57, 58]. The possible reason might be epilepsy patients with poor adherence to their medication may result in uncontrolled seizures attacks that may contribute patients to have a common mental illness. This is confirmed that frequent seizure attacks are associated with a higher magnitude of mental illness when compared to controlled seizure patients [59]. Epilepsy patients may not take their prescribed drugs due to already existing mental illness. This is supported by patients who have a history of mental illness before treatment was found to stop their new antiepileptic drugs due to mental illness consequences when compared to those who have no previous mental illness diagnosis[60].
In general, the implication of the current research result shows that pro-active mental illness screening, detection, and early treatment should be incorporated in neurologic clinics to control frequent seizure attacks and to have good adherence to their medication. Multidisciplinary efforts are required within different stakeholders to bring overall management of these complex comorbidities. The study generated baseline evidence in Ethiopian context about the burden of comorbid mental illness in epilepsy patients. This is believed to be one of the essential information to provide appropriate treatment and avoid unwanted incorrect perceptions attached to the illness.
Despite the above strength, our limitations include some of the variables reported by the respondents such as a family history of epilepsy, duration of illness and age at the onset of illness may face recall bias. We have difficulty to know the magnitude of mental illness based on seizure type since a specific diagnosis of epilepsy was not written while reviewing the patient chart. In addition, there was difficulty to identify how many people in our study were screened positive for common mental illness and have been received mental health treatment before the time of the data collection period. Finally, we have faced difficulties to identify which occurred first from mental illness and epilepsy because the nature of the study design we used was cross-sectional.
Conclusion
Compared to the general population, epilepsy patients have a high burden of comorbid mental illness. Family history of epilepsy, frequent seizures attacks, side effects of antiepileptic drugs, lack of social support and not adherent to antiepileptic drugs were factors associated with common mental illness. Common mental illness was found to be prevalent among people living with epilepsy. Therefore, it is recommended that great attention should be given to comorbid mental illness in neurology clinics to control frequent seizure attacks and to make the patient more adhere to their treatment. It is also recommended follow up study to see whether the burden of mental illness before or after the diagnosis of epilepsy concerning the impact of mental illness in neurologic clinics on the overall quality of life.
Supporting information
Acknowledgments
We would like to express my gratitude and thanks to Bahir Dar University College of Medicine and Health Sciences for providing research facilities. I am grateful to all data collectors, supervisors and study participant for their important contribution for this study.
Data Availability
All relevant data are within the manuscript and its Supporting Information files and was uploaded on figshare (DOI: 10.6084/m9.figshare.10304606)
Funding Statement
The authors received no specific funding for decision to publish or preparation of the manuscript
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Data Availability Statement
All relevant data are within the manuscript and its Supporting Information files and was uploaded on figshare (DOI: 10.6084/m9.figshare.10304606)