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ORIGINAL RESEARCH article

Front. Psychiatry, 23 August 2021
Sec. Public Mental Health

Common Mental Disorders Among Informal Primary Caregivers of Adults With Mental Illness During the Coronavirus Disease 2019 Epidemic in Eastern Ethiopia: A Cross-Sectional Study

  • 1Department of Psychiatry, School of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
  • 2Department of Psychiatry, Faculty of Public and Medical Science, Mettu University, Mettu, Ethiopia

Background: Coronaviruses (CoVs) are emerging respiratory viruses and cause illnesses ranging from the common cold to severe acute respiratory syndrome (SARS). Informal primary caregivers of individuals with mental illness were special populations suffering from both the burden of caring for mentally ill individuals and the danger of the Coronavirus disease 2019 (Covid-19) epidemic.

Objective: The objective of the study was to assess the prevalence and associated factors of common mental disorders (CMDs) among the informal primary caregivers of adults with mental illness during the Covid-19 epidemic.

Methods: A hospital-based cross-sectional study design was conducted from July 1 to 30, 2020. A systematic random sampling technique was used to get samples of informal primary caregivers. Data were analyzed by bivariable and multivariable logistic regression analysis. In the final model, variables having a p-value < 0.05 were declared as associated with CMDs.

Result: Out of a total of 218 informal primary caregivers, 215 responded to this study. The prevalence of CMDs was 40.5% [95% confidence interval (CI) = 36.66, 44.3%] among informal primary caregivers. Being female informal primary caregivers [adjusted odds ratios (AOR) 1.98, 95% CI = 1.05, 3.76], being student informal primary caregivers (AOR 5.8, 95% CI: 1.2, 28.4), caring patients with psychosis (AOR 3.33, 95% CI: 1.12, 9.92) and caring patients with bipolar disorder (AOR 3.12, 95% CI: 1.35, 7.23) were significantly associated with CMDs.

Conclusion: Our study cannot show the causal relationship due to its cross-sectional study design nature. However, this study showed relatively higher prevalence of CMDs among informal primary caregivers of adults with any mental illness during the Covid-19 epidemics relative to pre-Covid-19 times. Being a female caregiver, being a student caregiver, and caring for adults with psychosis and bipolar disorder were factors associated with CMDs. Attention should be given, and essential psychosocial care should be provided, to maintain the mental health of informal primary caregivers of individuals with mental illness especially during the Covid-19 pandemic.

Introduction

Since December 2019, the world is fighting an outbreak of a novel infectious disease known as Coronaviruses disease 2019 (Covid-19) (1). Coronaviruses (CoVs) are emerging respiratory viruses and cause illnesses ranging from the common cold to severe acute respiratory syndrome (SARS) (2). Covid-19 was detected for the first time in December 2019, like a viral outbreak in Wuhan City of Central Hubei Province of China, and on December 31, 2019, it was announced to the World Health Organization (WHO) (3). In Ethiopia, on March 13, 2020, the Federal Ministry of Health has confirmed and announced the first Covid-19 case in Addis Ababa, and on April 5, 2020, the first death of a Covid-19 patient, a 60-year old woman was reported in Addis Ababa (4).

The Covid-19 pandemic has an impact on physical health, psychological and social aspects, and could affect the mental health status of the population (5). As Covid-19 is an emerging disease and is having the most devastating effects globally, it can cause community mental health problems (6). An online study in Spain showed that the Covid-19 pandemic had added to caregiver stress and pain (7). The number of caregivers with mental distress during Covid-19 epidemics was more than double than reported before the Covid-19 epidemics (8). The pandemic could lead to a significant decline in family functioning triggered by the incredible pressure imposed by Covid-19 limits and precautions; in particular, the increased pressure on caregivers might result in an imbalance in the demand for resources and disagreements between family members (9). Having a mental illness during a global pandemic could have a huge effect on the entire family members including financially, socially, and interpersonally, especially when combined with the impact of larger-scale effects of the pandemic on socioeconomic circumstances (10).

Mental disorders accounted for about 12.3% of the global burden of disease in 2001 (11). Depression and anxiety disorders are known as “common mental disorders” (CMDs) (11, 12). In the United States National Comorbidity Survey, the prevalence of mood and anxiety disorders was 20.8 and 28.8%, respectively (13). Available community-based studies in Ethiopia conducted in Butajira and Kombolcha towns and Addis Ababa City revealed that the magnitude of CMDs ranges from 17 to 32.4% (14).

Informal primary caregivers are caregivers who deliver unpaid care to somebody with whom they have a personal connection (15). Many individuals caring for relatives with mental disorder feel stigmatized (16). Families provide not only personal care, including eating, bathing, and giving drugs, but also give emotive support to their relatives with mental health problems (17). Caregivers usually experience substantial physical and mental problems due to lack of financial, personal, emotional support, stigma, and ignorance of their health (18, 19). Individuals with a severe mental disorder such as severe depression are unable to fulfill daily roles in the society normally expected of individuals of their age and intellectual ability; thus, they are most likely getting family care (20). Additionally, they often engage in difficult behaviors, and caregiver relatives are responsible of managing these behaviors (21).

Many studies showed that informal caregivers of individuals with mental disorders suffer from mental distress and get inadequate help from mental health professionals. Even in developed countries, only 10% of informal caregivers gets psychological treatments (22). In Ethiopia, there is no treatment guideline/policy specifically established to provide prevention/treatment service for informal primary caregivers of persons with mental disorders unless they come to health institutions seeking help after being ill. Even if there is scarce research on the effect of Covid-19 on caregivers (5), there are many previous studies conducted before the Covid-19 pandemic on CMDs among the primary informal caregivers of adult individuals with mental illness. A British research reported that mental distress was relatively two times higher among caregivers of mentally ill individuals (36%) than in the general population (20.8%) (23, 24). A pre-Covid-19 study in Ethiopia showed that the overall magnitude of mental distress among informal primary caregivers of individuals with a severe mental disorder was 56.7% (25). Also, another pre-Covid-19 study in Ethiopia reported that the prevalence of depression among primary caregivers of patients with severe mental illness was 19% (26). Besides, the prevalence of mental distress was found to be 27.1% among caregivers of patients with epilepsy in Ethiopia during the pre-Covid-19 period (27).

Different pre-Covid-19 studies showed that factors including duration of illness, patients having more than one episode of suicidal attempts, patients having behavioral problems, duration and type of care given, joblessness, cognitive and functional disabilities of care recipient, perceived stigma, negative caregiving judgment, loneliness, irritation, sadness, guilty feeling, shamefulness in caring mentally ill persons, unsatisfactory social support, age of patient, poor coping, and secondary stressors, including family conflict and finances, were significantly associated with psychological distress among primary caregivers of individuals with mental illness (17, 28). Other studies conducted among the general population revealed that pre-existing mental health conditions, increased smoking and alcohol drinking over the last 4 weeks, high levels of fear, and being female were associated with higher levels of psychological distress during the Covid-19 pandemic (2931). Generally, the burden of the caregivers affects the patients, caregivers themselves, other family members, and health care systems. The poor quality of life of caregivers could cause behaving violently to the patients and poor caring, which can result in the relapse of the patients (20).

Recently, only a few studies have focused on the psychological health of informal primary caregivers of persons with mental disorders during pre-Covid-19 times in Ethiopia (2527). To our best knowledge, there is no study conducted on the psychological health of informal primary caregivers of persons with mental disorders in Ethiopia during the Covid-19 epidemic. Even the few available studies conducted pre-Covid-19 epidemic time in Ethiopia were focused on caregivers of individuals with severe mental disorders, and the independent variables they included were not comprehensive enough. For instance, in the current study, we have included many variables (age of caregivers, age of patients, average monthly income, duration of illness in a year, time spent with patient per day, family history of mental illness and suicide, and history of suicide attempt of patient), which were not included in previously available studies in Ethiopia (2527). Therefore, our study pointed to fill the gap as we conducted on the prevalence and associated factors of CMDs among the informal primary caregivers of adults with mental illness during the Covid-19 epidemic and who were attending mental health care service at Hiwot Fana Specialized University Hospital (HFSUH), Eastern Ethiopia. The result of this research will serve as base information to initiate giving necessary service for key informal caregivers of persons with mental illness including routine screening/assessment and give early intervention, especially during this Covid-19 pandemic period.

Materials and Methods

Study Setting

We conducted this study from July 1 to 30, 2020 among the informal primary caregivers of adults with mental disorders and attending mental health care service at Hiwot Fana specialized University Hospital (HFSUH), Harar town, Eastern Ethiopia. Harar is located 527 km away from Addis Ababa in the eastern direction. In Harar town, there are 1 University teaching hospital, 3 government hospitals, 2 private hospitals, 8 health centers, 19 health posts, and 1 FGAE (Family Guidance Association of Ethiopia) clinic. The HFSUH is one of the oldest governmental hospitals, established in 1941 E.C. (32) and provides different clinical services including the psychiatry unit. The psychiatric clinic has 10 beds for inpatients and four rooms for outpatient services. Annually, more than 5,000 children and adult patients get service at both the outpatient and inpatient departments of the psychiatry clinic.

Study Design

The hospital-based quantitative cross-sectional study design was employed.

Source Population

All informal primary caregivers of adults with any mental illness and attending psychiatry clinic unit (outpatient and inpatient levels) at HFSUH were considered as a source of population.

Study Population

Sampled informal primary caregivers of adults with any mental illness and attending psychiatry clinic unit (outpatient and inpatient level) at HFSUH during the data collection period were considered as a study population. Informal primary caregivers of above 18 years were included, while those who have psychiatric disorder history before being a caregiver, professional caregivers, and who were missing patients for at least 1 month during the last 3 months were excluded.

Sample Size Determination

Single population proportion formula (33) was used to calculate the sample size by considering the assumptions: Z = the standard normal distribution (Z = 1.96), with confidence interval (CI) of 95%, P = the prevalence of CMDs among primary informal caregivers of adult persons with a mental disorder reported to be 56.7 % by a study conducted in Ethiopia, Addis Ababa (25), d = the margin of error = 5%.

Then using the above assumptions, the sample size was 377 subjects. However, because the total population in this study was <10,000, we used the finite population correction formula (33) to calculate the final sample size, and we get 198 subjects.

nf=ni(1+(ni1N ))

where

nf = the final sample size

ni = the initial sample size calculated above (377)

N = the average total number of primary informal caregivers of adult individuals with mental disorders and attending mental health care service at HFSUH per month (416)

nf=377(1+(377-1416))= 198

Finally, by adding 10% (198 × 0.10 = 20) non-response rate, the final sample size was 198 + 20 = 218.

Sampling Technique

The systematic random sampling technique (34) was used to select study participants from HFSUH inpatient and outpatient departments. The average number of primary informal caregivers of adult individuals with any mental disorders and attending mental health care service at HFSUH per month was reviewed, and about 416 caregivers (122 for inpatients and 294 for outpatients) were eligible for this study.

The sampling interval for this study was calculated by the sampling interval calculation formula (34).

Sampling interval=total number of basic sampling units in the population (N)number of sampling units needed for the sample (n)

Therefore, the sampling interval = 416/218 = 2.

This means that the first primary caregiver included in the study was selected by the lottery method. Then we continued to select one primary informal caregiver from every subsequent group of 2 until the required sample size was reached (n = 218).

The final sample size (n = 218) was allocated to each unit of a hospital, n1 = 64 primary informal caregivers from the inpatient unit and n2 = 154 primary informal caregivers from the outpatient department using the proportional allocation formula.

Proportional allocation formula:nx=n.NxNT

where

N = the average total number of primary informal caregivers (416)

N1 = the total number of primary informal caregivers of inpatients (122)

N2 = the total number of primary informal caregivers of outpatients (294)

n = the final total sample size (218)

n1 = the sample proportionally allocated to primary caregivers of inpatients

n2 = the sample proportionally allocated to primary caregivers of outpatients

Therefore,

n1=218.122416= 64n2=218.294416= 154

Data Collection

Data were collected through face-to-face interviewing and reviewing the medical records of the patients. The interview was conducted using the interviewer-administered standardized questionnaire adopted after extensive literature review (25, 26, 35). The questionnaire comprises sociodemographic variables, substance use-related questions, patient-related factors, SRQ-20 items to assess the level of CMDs of informal primary caregivers, Oslo Social Support Scale (OSSS-3) to assess the perceived social support of the caregivers, and family interview schedule (FIS) instrument to assess the perceived stigma of the caregivers. The questionnaire was first developed in English and then translated into the local Amharic and Afaan Oromo languages, and back translation into English was undertaken. However, some of the illness-related factors of the patients, including the total duration of illness in a year, number of admissions, and history of suicidal attempt of patients, were obtained from the medical records of the patients.

Data were collected by five BSc psychiatric nurses and supervised by three MSc psychiatry professional supervisors and principal investigators. All data collectors and supervisors proceeded with the data collection by keeping a 2- meter social distancing and wearing a protective face mask and a surgical glove. We assessed the CMDs of the primary caregiver using the Self-Reported Questionnaire 20 items (SRQ – 20), which is a 20 – item screening tool settled by the World Health Organization (WHO) to detect suspected CMDs cases (36). This tool has 20 items scored 0 or 1, and the questionnaire was also validated in Ethiopia, with sensitivity (85.7%) and specificity (75.6%) (37). A score of 0 shows that the symptom was absent throughout the last month, and a score of 1 shows the symptom was present. The SRQ – 20 has different cutting points in community based and institution based, and usually, a cut-point of ≥7 is used in institution based (37). Even if SRQ − 20 was designed as a self-administered scale, due to the low literacy rate in unindustrialized countries, this tool was suitable for an interviewer-administered questionnaire (38).

We used the Oslo 3 − item Social Support Scale (OSS − 3) to assess the social support of the caregivers. The OSS − 3 scores ranged from 3 to 14 with a score of 3 − 8 = poor support, 9 − 11 = intermediate support, and 12 − 14 = strong support. This tool was validated in African countries (39), and this tool was also used in previous Ethiopian studies (40).

Data about caregivers' perceived stigma were collected using the stigma part of a family interview schedule (FIS) instrument (with Cronbach's alpha = 0.85), which was prepared by the WHO on the outcome and course of schizophrenia and stigma (35), and this tool was used in a previous Ethiopian study. The stigma part has 14 items. Each stigma question was rated as a four-point scale from “not at all” rated 0, “sometimes” rated 1, “often” rated 2 to “a lot” rated 3. To assess the distribution of perceived stigma responses among groups, a stigma sum score was calculated by adding all positive responses (>0) for each of the 14 items, and we dichotomized to “yes/no” assuming caregivers who scored positive responses (>0) for at least one of the 14 stigma items as having perceived stigma “yes” and who scored 0 for all stigma items as not having perceived stigma “no”.

We obtained informed written consent from each study participant after telling them the objective of our study. We had informed the study participants as they have the right to ask for any unclear questions. Their data were kept confidential, and we did not document their names.

Study Variables

Dependent Variable

Status of CMDs (yes/no).

Independent Variables

Sociodemographic Variables (age of caregiver and age of the patient, sex of caregivers, marital status, educational status, occupational status, and average monthly income), clinical factors (diagnosis of patients, duration of care given, time spent with the patient per day, number of admissions, duration of illness of patient, family history of mental illness of caregivers, history of suicide attempt of patient, and family history of suicide of caregivers), substance-related variables (current and lifetime substance use), perceived stigma, and perceived social support.

Data Processing and Analyses

We first checked for collected data completeness and codes. We used EpiData (version 3.1) software to import data and SPSS (version 25) statistical software for statistical analyses. Descriptive analyses were used to describe the variables (frequencies, percentages, and tables). Bivariable and multivariable logistic regression analyses were performed to identify the factors associated with the CMDs. All variables with a p-value of < 0.25 in the bivariable analyses were entered into multivariable logistic regression to control potential confounders. We used a p-value < 0.25 in bivariable analyses to give a large chance to variables and not to miss important variables, which might have weak association in bivariable and could have strong association after adjusted with other variables. Then factors with a p-value of < 0.05 were finally considered to be significantly associated with CMDs, and the adjusted odds ratio (AOR) with 95% confidence interval (CI) was used.

Data Quality Control

A pre-test was conducted on 11 primary informal caregivers (5% of the total sample size), and necessary amendments were made. We used 5% of the sample size because all of the study participants have similar language and cultural characteristics, and we assumed that 5% of the sample size can uncover common problems. During data collection process, the questionnaire was checked for its completeness on a daily basis by the principal investigators and supervisors. Prior to the data collection time, both data collectors and supervisors were given a 1-day training about the study objectives and data collection procedures.

Ethical Considerations

We obtained ethical clearance from the Institutional Health Research Ethics Review Committee (IHRERC) of Haramaya University, College of Health and Medical Sciences. We had explained the study purpose to each participant before their participation. A formal permission letter was obtained from the administrative department of the hospital. Written and signed informed consent was obtained from the participants for their voluntary participation. Confidentiality was maintained by omitting personal identifications.

Result

Sociodemographic Characteristics of Participants and Patients

Out of 218 total primary caregivers, 215 respondents enrolled in this study, providing a response rate of 98.62%. The remaining three (3) individuals refused to participate in the study for unknown reasons. The mean age of respondents was 35 with standard deviation (SD) = 1.62 years old ranging from 18 to 70 years, and 55.8% (n = 120) were female, and 63.7% (n = 137) were married. The 23.3 % (n = 50) of the respondents learned up to secondary school, and 29.8% (n = 64) were farmers. Besides, 43.30% (n = 93) of the participants have an average monthly income of <1,000 Ethiopian birrs (ETB), and 47.40% (n = 102) have intermediate perceived social support (Table 1).

TABLE 1
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Table 1. Sociodemographic characteristics of the primary informal caregivers of adults with mental illness at Hiwot Fana Specialized University Hospital (HFSUH) (n = 215), Ethiopia, 2020.

Clinical and Substance Use-Related Characteristics of Participants and Patients

Out of 215 study participants, 59.10% (n = 127) and 54.90% (n = 118) had used at least one of khat, cigarette, or alcohol in their lifetime and during the last 3 months, respectively. About half of the caregivers (49.30%, n = 106) had cared for patients for 1-month to 1-year duration and 41.90% (n = 90) of the primary caregivers spent the whole day with the patient. Out of the total samples of primary caregivers, 31.20% (n = 67) of their patients were ill for 1 − 3 years, and 54.90% (n = 118) of the patients have no admission history. The 37.20% (n = 80) of the patients were diagnosed with psychosis, and 20.90% (n = 45) of them had a history of the suicide attempt. Also, 19.10% (n = 41) and 11.60% (n = 25) of the primary informal caregivers had a family history of mental illness and suicide, respectively. Again, 17.20% (n = 37) of the caregivers reported perceived stigma (Table 2).

TABLE 2
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Table 2. Clinical and substance use-related characteristics of primary informal caregivers of adults with mental illness at the HFSUH (n = 215), Ethiopia, 2020.

Prevalence of Common Mental Disorder Among Informal Primary Caregivers

The prevalence of CMDs among 215 informal primary caregivers of adults with mental illness during the Covid-19 epidemic was 40.50%; 95% CI = 36.66, 44.34 that met the cutoff point, which is ≥7 of the SRQ − 20 for a CMDs. The magnitude of CMDs among female informal primary caregivers was 58.30% (n = 70). Similarly, 59.40% (n = 19) of informal primary caregivers who were found between the age group of 42 and 49 years had CMDs. More than half percent, 56.70% (n = 34), of the informal primary caregivers who had been giving care for patients found between the age group of 26 and 33 were found having CMDs. The prevalence of CMDs among the farmer primary caregivers was 62.50% (n = 40). Besides, the prevalence of CMDs among informal primary caregivers who had poor social support was found highest compared with primary caregivers who had strong social support (46.60 vs. 40%). The prevalence of CMDs among the informal primary caregivers who had ever used at least one of khat, cigarette, or alcohol was 58.30% (n = 74), while the prevalence of CMDs among informal primary caregivers who had used at least one of khat, cigarette, or alcohol during the past 3 months was 59.30% (n = 70). The magnitude of CMDs among the informal primary caregivers who had a family history of mental illness was higher than those who had no family history of mental illness (68.30 vs. 47.10%). The prevalence of CMDs among the informal primary caregivers of patients who were diagnosed with psychosis, bipolar disorder, depression, and anxiety disorders was 65.00% (n = 52), 48.30% (n = 29), 40.00% (n = 20), and 36.00% (n = 9), respectively.

Bivariable Logistic Regression Analyses of Factors Associated With Common Mental Disorders Among Informal Primary Caregivers of Adults With Any Mental Illness

In our study, bivariable logistic regression analyses revealed that factors including being female caregivers, being student caregivers, lifetime substance use at least one of khat, cigarette, or alcohol, and substance use in the past 3 months at of least one of khat, cigarette, or alcohol, time spent with the patient per day, number of admissions of the patient, family history of mental illness of the caregiver, family history of suicide of the care giver, and diagnosis of the patient were found having significant association with CMDs among informal primary caregivers of adults with mental illness at p-value ≤ 0.25 (Table 3).

TABLE 3
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Table 3. Binary logistic regression analysis of factors associated with common mental disorders (CMDs) among primary informal caregivers of adults with mental illness at the HFSUH, Ethiopia, 2020.

Multivariable Logistic Regression Analyses of Factors Associated With Common Mental Disorders Among Informal Primary Caregivers of Adults With Any Mental Illness

The AOR of experiencing CMDs among female informal primary caregivers was relatively higher compared with male informal primary caregivers of adult persons with mental illness (AOR 1.98, 95% CI: 1.05, 3.76). Informal primary caregivers who were students by occupation were found to have higher odds ratio of experiencing CMDs compared with government employer caregivers (AOR 5.80, 95% CI: 1.20, 28.40). The AOR of developing CMDs among informal primary caregivers of adults with psychosis was higher compared with the informal primary caregivers of adults with an anxiety disorder (AOR 3.33, 95% CI: 1.12, 9.92), and also, the informal primary caregivers of adults with bipolar disorders were found to have higher AOR of experiencing CMD compared with the informal primary caregivers of adults with anxiety disorders (AOR 3.12, 95% CI: 1.35, 7.23).

Variables including informal history of lifetime and current (during the past 3 months) substance use at least one of khat, cigarette, or alcohol of the primary caregivers, spending the whole day time with the patient, family history of suicide of the caregiver, caring for patients who have two times and above admission history, and family history of mental illness of the caregiver had a statistically significant association with CMDs among informal primary caregivers of adults with mental illness during bivariable logistic regression analyses at p-value < 0.25. However, in the final multivariable model, after we adjusted for other variables, they have no association with CMDs (Table 4).

TABLE 4
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Table 4. Multivariable logistic regression analysis of factors associated with CMDs among primary informal caregivers of adults with mental illness at the HFSUH, Ethiopia, 2020.

Discussion

The current study was designed to assess the prevalence and factors associated with CMDs among the informal primary caregivers of adults with any mental illness during the Covid-19 epidemic and who were attending mental health care service at HFSUH, Eastern Ethiopia.

This study revealed that during the Covid-19 epidemic, the overall prevalence of the CMDs among 215 informal primary caregivers of adults with mental illness was found to be 40.50% with a range between 36.66 and 44.34%. In the final multivariable logistic regression analyses model, being a female caregiver, being a student caregiver, and caring adults with psychosis and bipolar disorders were found to have a significant association with CMDs among informal primary caregivers.

In our study, the prevalence of the CMDs among informal primary caregivers of adults with any mental illness was higher than the results of many studies conducted pre-Covid-19 times: 19.00, 27.10, 31.50, and 33.60%, respectively (26, 27, 41, 42). This discrepancy could be most probably due to the possible Covid-19 pandemic impact. Therefore, the readers can imagine how much it will be challenging to the informal primary caregivers of individuals with mental illness being in the Covid-19 pandemic because both caring for mentally ill patients and the pandemic are different challenging situations that could worsen the physical, psychological, social, and economic status of the caregivers. The other possible reason for the above discrepancy could be the difference in data collection tools and study designs. A previous study (41) used Kessler's K10 to assess the psychological distress/common mental disorder of the caregivers, while in the current study, we used the SRQ − 20 questionnaire to assess the CMDs of the caregivers. Also, the other previous study (42) was community based and our current study was hospital based among primary informal caregivers of adult individuals with mental illness, and this result revealed that caring for persons with mental illness will lead caregivers to be more distressed and develop CMDs than the general population (43).

However, the prevalence of CMDs among informal primary caregivers of adults with any mental illness was closer to the findings in Mexico (40.00%), which was reported pre-Covid-19 time (17), and also lower compared with studies conducted in Ethiopia among caregivers of individuals with severe mental illness at Amanuel Hospital, which reported that the magnitude of mental distress was 56.70% (25), and in Pakistan, among caregivers of people with schizophrenia, which revealed that 72% of caregivers had psychological distress (44). This difference could be due to the diagnosis of the patients. For instance, the studies in Pakistan and in Ethiopia at Amanuel Hospital were conducted among primary informal caregivers of individuals with severe mental illness like schizophrenia, which is the most severe type of mental disorder, and its clinical features, especially positive symptoms, could stress and frustrate caregivers more, and this can increase the prevalence of CMDs among caregivers (43). However, in our study, different diagnoses of patients, including relatively the less severe form of mental disorders (anxiety disorder) to the most severe form of psychiatric disorders (psychosis), were included (43).

In our study, female informal primary caregivers were found to have higher AOR of developing CMDs than male informal primary caregivers (AOR 1.98, 95% CI:1.05, 3.76), and this result was in line with the previous study findings reported both during the Covid-19 pandemic and pre-Covid-19 times (25, 29, 42). The explanations for this variance could be hormonal differences and behavioral models of learned helplessness (43). Previous studies indicated that stress exposure particularly in females would give rise to mental problems, and females are also more susceptible to insomnia. Thus, the female gender might be a higher risk factor for depression and anxiety symptoms (45).

In this study, the primary informal caregivers who were students by occupation were found to have higher AOR of developing CMDs compared with the primary caregivers who were government employers (AOR 5.80, 95% CI:1.20, 28.40). Even if we could not get an available study concerning this issue, this result could be due to many burdens on the student caregivers including time burden, role burden, emotional burden, and financial burden including affording personal protective equipment during the Covid-19 epidemic and, also, school absenteeism due to caregiving and its consequences like academic crisis, which could increase the prevalence of CMDs among primary caregivers who were students.

The current study revealed that the informal primary caregivers who were caring for people with psychosis (AOR 3.33, 95% CI:1.12, 9.92) and bipolar disorders (AOR 3.12, 95% CI:1.35, 7.23) were found to have higher AORs of experiencing CMDs compared with the informal primary caregivers who were caring for adults with an anxiety disorder. This finding was supported by the previous studies conducted both during the Covid-19 pandemic and pre-Covid-19 time (10, 18, 25, 46), and this finding could be due to people, with the diagnosis of severe mental disorders like schizophrenia, exhibiting more positive (difficult behaviors) or negative symptoms, low functioning, and also less likely had to get improvement than other mental disorders like anxiety disorder and depression. Therefore, caring for someone with severe mental disorders can compromise the own physical and psychological health of the caregiver, and can lead to psychological distress, anxiety, depression, and posttraumatic stress disorder (47).

Limitations of the Study

There are some limitations to this study. Since the study design was cross-sectional, it cannot show the causal relationship. It is difficult to determine whether the CMDs of caregivers existed before the endemic or resulted from it. Besides, since the sample was only taken from informal primary caregivers of patients who came to the hospital, the findings may not represent the informal primary caregivers who stayed at home or in the community, and we cannot generalize all informal primary caregivers of adults with mental illness. The study variables included were not comprehensive enough, and we had missed some important Covid-19-related variables like longer media exposure to get the Covid-19 update.

Conclusion

This study finding showed a relatively high prevalence of CMDs among informal primary caregivers of adults with any mental illness compared with the previous available studies conducted pre-Covid-19 times (26, 27) and also relative to the study conducted among the general population (42). Factors including being a female caregiver, being a student caregiver, and caring for adults with psychosis and bipolar disorders had a significant association with CMDs among informal primary caregivers of adults with mental illness. This study finding indicates that policymakers and mental health professionals have to give value to the health of informal primary caregivers of persons with mental illness especially during this Covid-19 pandemic, and they have to screen routinely and provide them with appropriate treatments, which might range from providing psycho-education to physical treatments. Additionally, the governments and policymakers should promote the establishment of self-help groups of informal primary caregivers of individuals with mental illness within the community in liaison with social workers/mental health workers, if possible, in which emerge specific modes of social support to help each other and has a key role in the prevention, early diagnosis, and treatment of caregivers who may exhibit the need for mental health care. Our study findings will also serve as the baseline information for further study.

Data Availability Statement

The original contributions generated for the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.

Ethics Statement

The studies involving human participants were reviewed and approved by Institutional Health Research Ethics Review Committee (IHRERC) of Haramaya University, College of Health and Medical Sciences. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

TA contributed to the conceiving of the original idea, designing and conducting the study, analyzing the data, and preparing, critically reviewing, and approving the manuscript for publication. DD contributed to the designing and conducting of the study, analyzing the data, and reviewing the manuscript. Both authors read and approved the final submitted manuscript.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

Our heartfelt appreciation goes to the study supervisors, data collectors, and participants for their valuable time.

References

1. Tsamakis K, Rizos E, Manolis AJ, Chaidou S, Kympouropoulos S, Spartalis E, et al. COVID-19 pandemic and its impact on mental health of healthcare professionals. Exp Ther Med. (2020) 19:3451–3. doi: 10.3892/etm.2020.8646

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Yin YW, Wunderink RG. MERS, SARS and other coronaviruses as causes of pneumonia. Respirology. (2018) 23:130–7. doi: 10.1111/resp.13196

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Lee SA. Coronavirus anxiety scale: a brief mental health screener for COVID-19 related anxiety. Death Studies. (2020) 44:393–401. doi: 10.1080/07481187.2020.1748481

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Biruk W, Wondimagegn T, Chisha Y, Faraja K. Knowledge Regarding 2019 Novel Coronavirus (2019-nCoV) Infection Among Final Year Health Science Students at Arbaminch College of Health Sciences, Southern Ethiopia: A Cross-Sectional Study. Arbaminch: Research Square (2020).

Google Scholar

5. Holmes EA, O'Connor RC, Perry VH, Tracey I, Wessely S, Arseneault L, et al. Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science. Lancet Psychiatry. (2020) 7:547–60. doi: 10.1016/S2215-0366(20)30168-1

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Roy D, Tripathy S, Kar SK, Sharma N, Verma SK, Kaushal V. Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic. Asian J Psychiatry. (2020) 51:102083. doi: 10.1016/j.ajp.2020.102083

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Sheth K, Lorig K, Stewart A, Parodi JF, Ritter PL. Effects of COVID-19 on informal caregivers and the development and validation of a scale in english and spanish to measure the impact of COVID-19 on caregivers. J Appl Gerontol. (2020) 2020:0733464820971511. doi: 10.1177/0733464820971511

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Horiuchi S, Shinohara R, Otawa S, Akiyama Y, Ooka T, Kojima R, et al. Caregivers' mental distress and child health during the COVID-19 outbreak in Japan. PLoS ONE. (2020) 15:e0243702. doi: 10.1371/journal.pone.0243702

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Park SS. Caregivers' mental health and somatic symptoms during COVID-19. J Gerontol Series B. (2020) 76:e235–40. doi: 10.1093/geronb/gbaa121

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Eckardt JP. Caregivers of people with severe mental illness in the COVID-19 pandemic Lancet Psychiatry. (2020) 7:e53. doi: 10.1016/S2215-0366(20)30252-2

PubMed Abstract | CrossRef Full Text | Google Scholar

11. World Health Organization. The World Health Report 2001: Mental health: New Understanding, New Hope. Geneva: World Health Organization (2001).

Google Scholar

12. World Health Organization. The Global Burden of Disease: 2004 Update. Geneva: World Health Organization (2008).

Google Scholar

13. Kessler RC, Merikangas KR, Wang PS. Prevalence, comorbidity, and service utilization for mood disorders in the United States at the beginning of the twenty-first century. Annu Rev Clin Psychol. (2007) 3:137–58. doi: 10.1146/annurev.clinpsy.3.022806.091444

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Alem A, Kebede D, Woldesemiat G, Jacobsson L, Kullgren G. The prevalence and socio-demographic correlates of mental distress in Butajira, Ethiopia. Acta Psychiatr Scand. (1999) 100:48–55. doi: 10.1111/j.1600-0447.1999.tb10694.x

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Council NR. The Role of Human Factors in Home Health Care: Workshop Summary. Washington, DC: National Academies Press (2010).

PubMed Abstract | Google Scholar

16. Ssebunnya J, Kigozi F, Lund C, Kizza D, Okello E. Stakeholder perceptions of mental health stigma and poverty in Uganda. BMC Int Health Hum Rights. (2009) 9:5. doi: 10.1186/1472-698X-9-5

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Magaña SM, Ramirez Garcia JI, Hernández MG, Cortez R. Psychological distress among Latino family caregivers of adults with schizophrenia: the roles of burden and stigma. Psychiatr Serv. (2007) 58:378–84. doi: 10.1176/ps.2007.58.3.378

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Chan SW-C. Global perspective of burden of family caregivers for persons with schizophrenia. Arch Psychiatr Nurs. (2011) 25:339–49. doi: 10.1016/j.apnu.2011.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Schulz R, Sherwood PR. Physical and mental health effects of family caregiving. J Soc Work Educ. (2008) 44:105–13. doi: 10.5175/JSWE.2008.773247702

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Rafiyah I. burden on family caregivers caring for patients with schizophrenia and its related factors. Nurse Media J Nurs. (2011) 1:29–41. doi: 10.14710/nmjn.v1i1.745

CrossRef Full Text | Google Scholar

21. Shankar J, Muthuswamy SS. Support needs of family caregivers of people who experience mental illness and the role of mental health services. Fam Soc. (2007) 88:302–10. doi: 10.1606/1044-3894.3628

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Magliano L, Fiorillo A, Malangone C, De Rosa C, Maj M. A memorial tribute: patient functioning and family burden in a controlled, real-world trial of family psychoeducation for schizophrenia. Psychiatr Serv. (2006) 57:1784–91. doi: 10.1176/ps.2006.57.12.1784

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Oldridge M, Hughes I. Psychological well-being in families with a member suffering from schizophrenia: an investigation into long-standing problems. Br J Psychiatry. (1992) 161:249–51. doi: 10.1192/bjp.161.2.249

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Michael D, Eric R. Longitudinal changes in psychological distress in the UK from 2019 to September 2020 during the COVID-19 pandemic: evidence from a large nationally representative study. Psychiatry Res. (2021) 300:113920. doi: 10.1016/j.psychres.2021.113920

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Sintayehu M, Mulat H, Yohannis Z, Adera T, Fekade M. Prevalence of mental distress and associated factors among caregivers of patients with severe mental illness in the outpatient unit of Amanuel Hospital, Addis Ababa, Ethiopia, 2013: cross-sectional study. J Mol Psychiatry. (2015) 3:9. doi: 10.1186/s40303-015-0014-4

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Derajew H, Tolessa D, Feyissa GT, Addisu F, Soboka M. Prevalence of depression and its associated factors among primary caregivers of patients with severe mental illness in southwest, Ethiopia. BMC Psychiatry. (2017) 17:88. doi: 10.1186/s12888-017-1249-7

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Seid S, Demilew D, Yimer S, Mihretu A. Prevalence and associated factors of mental distress among caregivers of patients with epilepsy in ethiopia: a cross-sectional study design. Psychiatry J. (2018) 2018:2819643. doi: 10.1155/2018/2819643

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Oshodi Y, Adeyemi J, Aina O, Suleiman T, Erinfolami A, Umeh C. Burden and psychological effects: caregiver experiences in a psychiatric outpatient unit in Lagos, Nigeria. Afr J Psychiatry. (2012) 15:99–105. doi: 10.4314/ajpsy.v15i2.13

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Rahman MA, Hoque N, Alif SM, Salehin M, Islam SMS, Banik B, et al. Factors associated with psychological distress, fear and coping strategies during the COVID-19 pandemic in Australia. Globalization Health. (2020) 16:1–15. doi: 10.1186/s12992-020-00624-w

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Wang Y, Kala MP, Jafar TH. Factors associated with psychological distress during the coronavirus disease 2019 (COVID-19) pandemic on the predominantly general population: a systematic review and meta-analysis. PLoS ONE. (2020) 15:e0244630. doi: 10.1371/journal.pone.0244630

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Kassaw C. The magnitude of psychological problem and associated factor in response to COVID-19 pandemic among communities living in Addis Ababa, Ethiopia, March 2020: a cross-sectional study design. Psychol Res Behav Manage. (2020) 13:631. doi: 10.2147/PRBM.S256551

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Mohammed M, Mengistie B, Dessie Y, Godana W. Prevalence of depression and associated factors among HIV patients seeking treatments in ART clinics at Harar Town, Eastern Ethiopia. J AIDS Clin Res. (2015) 6:2. doi: 10.4172/2155-6113.1000474

CrossRef Full Text | Google Scholar

33. Kasiulevičius V, Šapoka V, Filipavičiute R. Sample size calculation in epidemiological studies. Gerontologija. (2006) 7:225–31.

PubMed Abstract | Google Scholar

34. Sampling Techniques. Available online at: http://iced.cag.gov.in/wp-content/uploads/C-07/SAMPLING_TECHNIQUES.pdf (accessed March 01, 2021).

35. Shibre T, Negash A, Kullgren G, Kebede D, Alem A, Fekadu A, et al. Perception of stigma among family members of individuals with schizophrenia and major affective disorders in rural Ethiopia. Soc Psychiatry Psychiatr Epidemiol. (2001) 36:299–303. doi: 10.1007/s001270170048

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Barreto do Carmo MB, Santos LMd, Feitosa CA, Fiaccone RL, Silva NBd, Santos DNd, et al. Screening for common mental disorders using the SRQ-20 in Brazil: what are the alternative strategies for analysis? Revista Brasileira de Psiquiatria. (2018) 40:115–22. doi: 10.1590/1516-4446-2016-2139

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Hanlon C, Medhin G, Alem A, Araya M, Abdulahi A, Hughes M, et al. Detecting perinatal common mental disorders in Ethiopia: validation of the self-reporting questionnaire and Edinburgh postnatal depression scale. J Affective Disord. (2008) 108:251–62. doi: 10.1016/j.jad.2007.10.023

PubMed Abstract | CrossRef Full Text | Google Scholar

38. World Health Organization. A user's guide to the Self Reporting Questionnaire (SRQ). Geneva: World Health Organization (1994). p. 1–84.

Google Scholar

39. Abiola T, Udofia O, Zakari M. Psychometric properties of the 3-item oslo social support scale among clinical students of Bayero University Kano, Nigeria. Malaysian J Psychiatry. (2013) 22:32–41.

Google Scholar

40. Tariku M, Demilew D, Fanta T, Mekonnen M, Abebaw Angaw D. Insight and associated factors among patients with schizophrenia in mental specialized hospital, Ethiopia, 2018. Psychiatry J. (2019) 2019:2453862. doi: 10.1155/2019/2453862

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Ong HC, Ibrahim N, Wahab S. Psychological distress, perceived stigma, and coping among caregivers of patients with schizophrenia. Psychol Res Behav Manage. (2016) 9:211. doi: 10.2147/PRBM.S112129

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Kerebih H, Soboka M. Prevalence of common mental disorders and associated factors among residents of Jimma Town, South West Ethiopia. Population. (2016) 8:6–8. doi: 10.4172/2378-5756.1000373

CrossRef Full Text | Google Scholar

43. Kaplan BJ. Kaplan and Sadock's synopsis of psychiatry: behavioral sciences/clinical psychiatry. Tijdschrift voor Psychiatrie. (2016) 58:78–9.

Google Scholar

44. Shah STH, Sultan SM, Faisal M, Irfan M. Psychological distress among caregivers of patients with schizophrenia. J Ayub Med College Abbottabad. (2013) 25:27–30.

PubMed Abstract | Google Scholar

45. Zhang Z, Zhai A, Yang M, Zhang J, Zhou H, Yang C, et al. Prevalence of depression and anxiety symptoms of high school students in shandong province during the COVID-19 epidemic. Front Psychiatry. (2020) 11:1499. doi: 10.3389/fpsyt.2020.570096

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Niazi RS, Basheer S, Minhas FA, Najam N. Depression and anxiety in the caregivers of mentally ill patients. J Pak Psychiatr Soc. (2004). 2:27.

PubMed Abstract | Google Scholar

47. Onwumere J, Bebbington P, Kuipers E. Family interventions in early psychosis: specificity and effectiveness. Epidemiol Psychiatr Sci. (2011) 20:113–9. doi: 10.1017/S2045796011000187

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Ethiopia, prevalence, associated factors, caregivers, common mental disorders

Citation: Abdeta T and Desalegn D (2021) Common Mental Disorders Among Informal Primary Caregivers of Adults With Mental Illness During the Coronavirus Disease 2019 Epidemic in Eastern Ethiopia: A Cross-Sectional Study. Front. Psychiatry 12:676379. doi: 10.3389/fpsyt.2021.676379

Received: 16 March 2021; Accepted: 21 July 2021;
Published: 23 August 2021.

Edited by:

Martina Rojnic Kuzman, University Hospital Centre Zagreb, Croatia

Reviewed by:

Claudia Vener, University of Milan, Italy
Yongxin Li, Henan University, China

Copyright © 2021 Abdeta and Desalegn. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Tilahun Abdeta, tilahunabdeta@gmail.com

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