Abstract
Suicidal behaviors in persons with mental illnesses are the most prevalent psychiatric crises, requiring scholars and mental health task teams to prioritize public health concerns. However, there is a scarcity of data in Ethiopia, particularly for patients with mental illness. As a result, the goal of this study was to assess the prevalence of suicidal behaviors and associated factors among individuals with mental illness visiting public hospital psychiatric clinic units in eastern Ethiopia. A facility-based cross-sectional study was conducted from October 15 to November 15, 2022, with 411 individuals with mental illness visiting psychiatric clinic units at public hospitals in eastern Ethiopia. To select participants in the study, a systematic random sampling method was used. A structured face-to-face interview was used to gather data. The Suicidal Behavior Questionnaire-Revised (SBQ-R) was used to measure suicidal behaviors. Epidata 3.1 version was used to enter the data, and SPSS version 24 was used to analyze it. Both bivariable and multivariable logistic regression analyses were employed. In the final model, variables with p-values less than 0.05 were considered statistically significant. To identify variables associated with suicidal behavior, the adjusted odds ratio (AOR) and 95% confidence interval (CI) were utilized. Out of a total of 411 eligible participants, 402 involved in this study, giving a response rate of 97.8%. The prevalence of suicidal behavior was 46.3%, (95% CI: 41-50.7). Depression (AOR = 2.21,95% CI: 1.04, 4.69), medication non-adherence (AOR = 1.95, 95% CI: 1.19, 3.18), bipolar disorders (AOR = 1.79, 95% CI: 1.55, 3.53), and current alcohol use (AOR = 1.81, 95% CI: 1.01, 3.28) were variables associated with suicidal behaviors. This study found a high rate of suicidal behaviors among adult individuals with mental illness in public hospitals in eastern Ethiopia. Suicidal behavior was highly associated with depression, bipolar disorders, current alcohol use, and medication non-adherence. Psychiatric professionals should assess patient suicidal risk assessment routinely and should put the diagnosis with suicidal if the client is suicidal so that every professional focuses on treatment besides the medication. Special attention is required for individuals who present associated features, such as history of medication non adherence, depression, and overall bipolar disorders.
Suicide is the intentional taking of one’s own life combined with a lethal act that expresses the person’s desire to die.
Suicide has emerged as the most frequent mental health emergency, trailed by homicide.
This study found that 46.3% of mental health patients—nearly half of all patients—exhibited suicidal behavior.
According to the World Health Organization (WHO), suicide is a serious global health concern in high-income countries and is becoming more of an issue in low- and middle-income countries where access to mental health services is limited.
The results of this study can be used by national and international agencies or organizations that are concerned to plan and implement effective programs for the prevention and control of suicidal behavior as well as other mental illnesses that can help improve access to health care locally.
Introduction
Suicide is the deliberate termination of one’s own life, as well as a deadly act indicating the individual’s want to pass away. 1 Suicide becomes the most common mental health emergency, followed by homicide. 2 It is typically acted out of despair or as a result of underlying mental illnesses such as depression, bipolar disorder, psychosis, alcohol and substance abuse, and other adverse conditions. Suicidal behaviors are ideas or behaviors that raise a person’s chance of contemplating suicide. Suicidal behaviors can be split into 3 distinct types: suicidal thoughts, suicide plot or intent, and attempts at suicide.3 -5
According to data from the World Health Organization (WHO), approximately 800 000 people worldwide take their own lives each year. 2 This translates to 1 suicide death every forty seconds. 3 Suicidal ideation and attempt are far more prevalent. By a ratio of 20, the number of suicide attempts outnumbers the number of suicide deaths. 3 According to WHO forecasts, around one and half million individuals will die by suicide by 2030, with 10 to 20 times that number attempting suicide globally. One person dies every 20 s, and one person tries suicide every 1 to 2 s, according to these figures.3,6,7 Suicide, as reported by the World Health Organization (WHO), is a severe global health concern in countries with high incomes, and it is a growing problem in nations with low or middle incomes with limited access to mental health treatment.3,8
The worldwide prevalence of suicide as an entirety is assessed to be 9 for every 100 000 occupants per year. 9 Suicide contributes to 1.4% of the overall mortality rate and 15% of injury mortality. 1 Suicide rates have risen by 60% in the past 50 years, with the rise being more prominent in nations with limited resources. 7 Suicidal behaviors are a multifaceted activity with multiple risk variables such as psychological, social, clinical, biological, and mental aspects.10 -12 A significant number of the risk variables may be recognized, allowing for the prediction of suicide attempts as well as the implementation of appropriate interventions to prevent suicidal behavior.13 -16
Talking about suicide can be very challenging. 17 Prior suicide attempts are by far the strongest risk factor for suicide; therefore, silence can have more tragic outcomes while knowledge and communication can prevent suicide and save lives.18,19 Suicide prevention is largely dependent on education and awareness, which can be achieved through prompt, evidence-based, and frequently low-cost interventions. To better understand, respond to, and lower the incidence of suicide, high-quality research in this area is therefore required. It also needs to be ethically sound.20,21
Suicidal behaviors are frequently found to be strongly predicted by the presence of mental disorders in general and co-morbidity in particular.22 -30 However, mental disorders alone cannot cause suicide sufficiently. 31 The strongest indicator of suicide and suicidal thoughts among mental illnesses is major depressive disorder.22,23,32 -34 Other mental disorders like schizophrenia,23,35 -37 bipolar disorders,37,38 and anxiety disorders33,39 are risk factors for suicidal behaviors. Substance use disorders and substance co-morbidity are also the predictors of suicide and suicidal behaviors.23,25,27,40 From substance use disorders; alcohol use disorders,35,37,41,42 tobacco, and other illicit drug use 24 and cigarette smoking 43 are the predictors of suicide and suicidal behaviors. Suicide and suicidal behaviors are higher in those who are divorced/separated/widowed, 44 being female, younger, single, and less educated.28,45 -47
Related major indicators of high suicide behavior includes: child neglect, 48 chronic medical issues, low socioeconomic status, interpersonal dysfunction, and an absence of social support,49,50 or sexual abuse,51 -53 or some personality characteristics for example perfectionist tendencies, unable to control impulse, high openness, nervousness, or poor self-esteem.15,54 -56 Moreover, suicidal thought is frequently triggered by factors such as hopelessness and suffering. 57
Few studies reported about suicidal behavior in Ethiopia. A study from Addis Ababa revealed a rate of suicide is 7.76/100 000 individuals per year. 58 The lifetime prevalence of suicidal thoughts and attempted suicide was 64.8% and 19.2%, respectively, among psychiatric outpatients at Gondar Comprehensive Teaching Hospital, 59 and the lifetime prevalence of suicidal ideation and attempted suicide in the Addis Ababa urban community was 2.7% and 0.9% respectively. 60
Though suicide is a global issue, the degree of risk factors may differ based on conditions, traditions, or even inter-facilities within the same nation.61 -63 When attempting to identify whether variables promote resilience or, conversely, vulnerability to suicide and suicidal behavior, the relationship between a variety of threats and protective factors at the individual and psychological levels must be taken into account. 64 In addition, while affluent countries have the highest age-standardized suicide rate, 79% of suicides globally occur in countries with middle and low incomes. 9
Almost all of the prior research on suicidal behavior has been done in developed nations.65,66 Even though suicide is one of the main causes of death and illness burden in developing countries, particularly Ethiopia, there is a dearth of knowledge about suicidal behavior in these regions. Numerous studies67 -69 revealed that the population in Ethiopia’s east uses psychoactive substances far more frequently than the population in the country’s other regions, which may raise the likelihood of mental illnesses and suicide. Thus, the current finding provides pivotal information on the magnitude and associated factors of suicidal behaviors for clinicians and stakeholders in both governmental and non-governmental settings to earlier measure on reduction of suicidal harm. Additionally, accurate data on the prevalence and the risk factors for suicidal behavior in developing countries like Ethiopia are needed to develop more adequate screening, prevention, and intervention programs.
Studies on suicide and self-harm are categorized as “sensitive research topics” because they carry a risk of harming study participants or the researchers themselves.70
-72 According to sensitive research, this harm could result from causing “a range of intense emotional responses” or other “emotional costs” for individuals involved.73
-77 The Institutional Health Research Ethics Review Committee (IHRERC) at Haramaya University’s College of Health and Medical Sciences reviewed and approved the human subjects study with reference number
The main objective of the current study was to assess the prevalence of Suicidal Behaviors and Associated Factors among Adult Psychiatric Patients Attending treatment at the psychiatric clinic units of Hiwot Fana Specialized University Hospital (HFSUH) and Jegol General Hospital (JGH), Eastern Ethiopia. The primary reason we conducted suicidal behaviors at public hospitals is that they have an efficient patient flow, which allows us to obtain a representative sample. Additionally, while public hospitals charge less for medical care, the majority of participants prefer them because they come from lower socioeconomic backgrounds.
Methods and Materials
Study Areas, Design, and Period
A facility-based cross-sectional study was conducted from October 15 to November 15, 2022. The study was conducted in the Harari region in Eastern Ethiopia, around 525 km from Addis Ababa, the capital of Ethiopia. In the Harari region, there are 2 public hospitals: Hiwot Fana Specialized University Hospital (HFSUH) and Jegol General Hospital (JGH). Currently, they both offer psychiatric care and serve as teaching hospitals and offer community services like as obstetrics, gynecology, surgery, internal medicine, pediatrics, psychiatry, and laboratories. The main consideration in choosing the 2 hospitals was that they both offered psychiatric services, meaning that, only those 2 hospitals in the area provided psychiatric services.
Ethical Consideration
The Helsinki Declaration on Medical Research Ethics was followed during the study’s implementation. Haramaya University’s Institutional Health Research Ethics Review Committee provided ethical approval. The confidentiality of respondents was safeguarded by allowing them to complete the questionnaire anonymously. Password protection ensured the security of completed surveys and computer data. Each respondent consented in an informed, voluntary, written, and signed manner. The respondent was told that they might exit the interview at any time. Respondents were assured that their care or dignity would not be affected if they did not participate.
Population
Source population
All individuals with mental illness following treatment at psychiatric clinic units of public hospitals in eastern Ethiopia were considered the source population.
Study population
All adult individuals with mental illness following treatment at HFSUH and JGH mental clinics were considered as a study population.
Eligibility Criteria
Inclusion criteria
The study included all adult individuals with mental illness who were getting outpatient treatment at the HFSUH and JGH psychiatry clinics during the data collection period. The Structured Clinical Interview for DSM-5 (SCID-5) were used to include all patient with mental illness who have follow up at both Hiwot Fana Specialized University Hospital and Jegol General Hospital.
Exclusion criteria
Patients who were considered very sick, including those who are severely agitated, catatonic, or experiencing acute psychosis or had issues with their hearing, communication, or cognitive function were excluded. Hence, the severity of the physical or mental illness can render it impossible to collect adequate or comprehensive data.
Sample Size Determination and Sample Technique
The sample size was calculated using the single population proportion formula. A 95% confidence interval with a 5% margin of error was established, and the earlier study result from Gondar Comprehensive Teaching Hospital, Gondar (P = 42%) was used. 26 The outcome variable and the variables that exhibited a significant correlation with it were taken into consideration when determining the study’s sample size. Sample sizes for the primary and secondary objectives were calculated separately. Because of the larger sample size of the first objective than the second, the sample size for the first objective was taken. The sample size was calculated as follows:
While: n = the minimum needed sample size
Z = standard score corresponding to 95% confidence interval 1.96
P = the estimated proportion which is 42%
d = the margin of error (5%)
Considering this,
=3.8416 × 0.2436/0.0025 = 374
Taking 10% into account for the non-response rate; (374 × 0.1 = 37.4) and 374 + 37.4 = 411; our total sample size was 411.
A total of 411 individuals with mental illness attending a psychiatric clinic at a public hospital in Harari Regional State were recruited using a systematic random sampling technique. Every month, an average of 777 patients attends psychiatric clinics in the health facilities chosen. The sample size was determined in proportion to the number of individuals with mental illness’ in each health facility. Since the systematic random sampling method was applied, the K-value can be found by dividing N = 777 by n = 411, which yields ~1.91, approximately an interval or K-value is 2 (K = 2). The first study participant was chosen through a lottery, and data collectors then randomly selected and interviewed the subsequent study participants every two2 participants.
Study Variables
Outcome variables
Suicidal behaviors (Yes/No).
Explanatory variables
Demographic factors include (age, marital status, sex, religion, ethnicity, income, educational status, employment status, and residence), mental disorders and psychosocial variables include (type of diagnosis, duration of mental illness, social support), and substance-related information including alcohol, khat, cigarette, and other substances (Cannabis/Shisha), co-morbid illness, and medication adherence status are an explanatory variable.
Data collection procedures and instruments
Instruments
The original English version of the survey was translated into Afaan Oromo and Amharic by 2 language experts so that the participants could easily understand it. After translating both ways, we tested the hypothesis with 21 participants in a pilot study. Cronbach’s alpha was used to verify internal consistency and provide preliminary validation. The SBQ-R, ASSIST, and PHQ-9 were among the tools used in this study pilot-test; their respective Cronbach alpha values were .82, .78, and .83.78 -80 The questionnaire was divided into 5 parts. (1) Socio-demography, (2) mental health, (3) substance use, (4) questions on suicidal behavior, and (5) social support. Questions generated from the literature were used to measure socio-demographic factors. The shorter version of the alcohol, smoking, and substance involvement screening instrument (ASSIST) was used. ASSIST was developed by an international team of drug misuse researchers for WHO in order to identify psychoactive substance use and related difficulties in patients getting mental health service. 81
The Oslo 3-item social support scale was used to assess the level of social support. The scores range from 3 to 14. A score of 3 to 8 indicates low social support, 9 to 11 shows moderate support, and 12 to 14 suggests strong support. 82
The Suicidal Behaviors Questionnaire-Revised (SBQ-R) is a self-report questionnaire for suicidal behavior. These shortened versions of the SBQ comprise 4 items and employ a Likert-type scale to assess suicidal behavior history, current suicide state, self-appraisal, and future suicidal behavior predictions. “Have you ever thought about or attempted to kill yourself?” is one example. (Rated from 1 to 4); “How often have you considered suicide in the last year?” (Rated on a scale of 1-5); “Have you ever told someone that you were going to commit suicide, or that you might do it?” (Rated from 1 to 3) “How likely is it that you will attempt suicide someday?” (Rated 0-6). A wide variety of information is acquired in a relatively short administration with a sensitivity of 80%% and specificity of 91%% for the adult clinical population with a score of 3 to 18 and a cutoff point of 8. 83
Data Collection Method
Four BSC psychiatry nurses conducted face-to-face interviews with all patients with mental illnesses at the HFSUH and JGH psychiatric clinic outpatient. One-day training was offered for those data collectors and the supervisor, with the main focus being on the process of data collection techniques, tools, and how to resolve ethical difficulties expressed by the participants.
Data Quality Control
Prior to the main investigation, 5% (n = 21) of the sample size was tested. In a pretest study, we tested the instruments’ applicability with 21 respondents after translating them both forward and backward. The final tool was refined with participant feedback, and internal consistency and initial validation were confirmed using Cronbach’s alpha. The supervisor and lead investigator offered regular monitoring, control, and support to the data collectors. The supervisor and lead investigator evaluated and established the acquired data on a daily basis for completeness and consistency.
Operational Definitions
Data Processing and Analysis
The data were coded, checked, and entered in EpiData version 3.1 prior to being exported to SPSS version 24 for analysis. Descriptive statistics were used to study the respondents’ socio-demographics and other factors. A bivariable logistic regression analysis was conducted to determine the association between each independent variable and the outcome variable. The multivariable logistic regression model includes all variables with a p-value of less than 0.25 in the bivariate logistic regression analysis. The adjusted odds ratio (AOR) with a 95% confidence interval (CI) was computed when the p-value was less than 0.05, which was considered statistically significant. The model’s fitness was assessed using the Hosmer-Lemshow test, and the result was 0.53.
Results
Socio-Demographic Characteristics of Respondents
Out of a total sample of 411, 402 participants agreed and participated in the study, giving a response rate of 97.8%. About 5 participants were unable to sign an informed consent form, and 4 were unable to converse because of a serious medical condition. Furthermore, there were no missing responses from any of the study participants. The actual non-response rate was 2.2% which means out of 411 participants, 402 participants were included in the study. Three participants were unable to communicate due to severity of the illness, and about 6 individuals were unable to sign the informed consent form. The average age of respondents was 34.65 (±10.56SD), with an age range of 18 to 64 years. More than half of the participants (56.2%) were male, 205 (51%) lived in urban areas, 239 (59.5%) followed the Muslim religion, and 236 (58.7%) were married. Among the respondents, 153 (38.1%) had studied up to primary school (1-8), 166 (41.3%) were farmers, and many of them, 340 (84.6%), living with family (Table 1).
Socio Demographic Characteristic of Adult Psychiatry Patients in Hiwot Fana Specialized University Hospital and Jegol Hospital, 2022 (n = 402).
Wakefata and Jehovah.
Retired, house servant, preacher.
Those living with relatives.
Clinical, Medication Adherence Status, Substance Use, and Social Support, Characteristics
Of the total participants, 189 (47%) and 126 (31.1%) were diagnosed with schizophrenia and major depressive disorder, respectively, while 29.6% had comorbid medical illnesses. In terms of medication adherence, 136 (33.8%) of them forgot their medicine on occasion, and 129 (32.1%) were careless to take their prescription. Regarding social support, 197 (49%) of the respondents had a low level of social support, 148 (36.8%) had a moderate level of social support, and 57 (14.2%) had a high level of social support. In terms of substance usage, 243(60.4%) of participants had used substances at some point in their lives, and 157(39.1%) were presently using substances. In their lifetime, 211 (86.8%), 112 (46.1%), and 65 (26.7%) had used Khat, cigarettes, and alcohol, respectively. In the previous 3 months, 78.3%, 33.1%, and 28% of respondents used Khat, cigarettes, and alcohol respectively (Table 2).
Clinical, Medication Adherence Status, Substance Use, and Social Support Related Characteristics of Adult Psychiatry Patients in Hiwot Fana Specialized University Hospital and Jegol Hospital, 2022 (n = 402).
Others (somatoform, psychiatry disorders due to medical conditions, dissociative disorders, adjustment disorders, and personality disorders).
Others: marijuana, shish.
Magnitudes, Methods of Suicide Attempt, and Pattern of Suicidal Behaviors
The reliability of the Suicidal Behavior Questionnaire-Revised (SBQ-R) was calculated and resulted in Cronbach’s = 0.82. The overall prevalence of suicidal behavior (as determined by an SBQ-R total score of 8) was 46.3% (95% CI: 41, 50.7). The lifetime prevalence of suicidal ideation, intent, and attempts were 24.4%, 20.4%, and 16.9%, respectively. The total lifetime prevalence of suicidal ideation was 248 (61.7%). Suicidal ideation was present in 146(36.1%) of people in the previous year (12 months). Of those, 72 (17.9%) experienced suicide thoughts once and 46 (11.4%) had it twice at separate times in time. One hundred twenty (29.9%) patients threatened suicide or told others they were going to kill themselves. Out of them 103 (85.8%), 17 (14.2%) told others more than once. Only 8 (2.0%) of the patients identified a future risk of suicide behavior. Approximately 154 patients (38.3%) reported suicide thoughts, intent, or attempts.
Among the 68 suicide attempts, 53 (77.9%) occurred at home. In 31 (45.6%) suicide attempts, the most prevalent means/method was hanging, followed by poison in 15 (22.1%) and drug/medication overdose in 9 (13.2%). Family members intervened to prevent 44 (64.7%) of patients from attempting suicide. During the interview, 28 (41.2%) of individuals who had tried suicide felt angry (Table 3).
Magnitudes, Methods of Suicide Attempt, and Pattern of Suicidal Behaviors Among People With Mental Illness Attending Treatment at Hiwot Fana Specialized University Hospital and Jegol Hospital, 2022 (n = 402).
Others, neighbors, other people around there during the events.
Factors Associated With Suicidal Behaviors
In bivariate logistic regression analyses, age, marital status, religion, education status, occupation status, monthly income, social support, depressive disorders, schizophrenia, bipolar disorders, comorbid physical illness, duration of illness, residence, alcohol use disorders, nicotine dependence, Khat chewing, and other substance use were candidates for multiple logistic regression analysis at P-value .25. Finally, in the multivariate logistic regression analysis, major depressive symptoms, bipolar disorders, medication non-adherence, and current alcohol use were determined to be independent predictors of suicide behavior with a P-value of less than .05.
According to this study, individuals with major depressive disorders and bipolar disorders were 2.21 times and 1.79 times more likely to develop suicidal behavior, respectively, than patients with other mental disorders (AOR = 2.21, 95% CI: 1.04, 4.69) and (AOR = 1.79, 95% CI: 1.55, 3.53). Respondents with medication non-adherence and current alcohol use were 1.95 times and 1.81 times more likely to develop suicidal behaviors, respectively than those who took their medication properly and did not use alcohol currently (AOR = 1.95, 95% CI: 1.19, 3.18) and (AOR = 1.81, 95% CI: 1.01, 3.28) (Table 4).
Bivariable and Multi Variable Logistic Regression Analysis of Factors Associated With Suicidal Behavior Among Adult Psychiatry Patients in Hiwot Fana Specialized University Hospital and Jegol Hospital, 2022 (n = 402).
Note. 1.00 = Reference group.
COR = crude odd ratio; AOR = adjusted odd ratio; CI = confidence interval.
P < .05. **P < .001.
Discussion
One growing area of focus for healthcare prevention is suicidal prevention. Suicide prevention has not been viewed as a top priority in the healthcare system, despite the fact that many suicide deaths have been reported recently or are being treated in clinical settings. 89 In resource-constrained environments, such as Ethiopia, local evidence is crucial for integrating mental health services into mental health care levels and supporting suicidal prevention in clinical settings. The main objective of the present study was to assess the magnitude of suicidal behaviors and associated factors with suicidal behaviors among Adult Psychiatric Patients Attending Psychiatric Clinic Units of Public Hospitals in Eastern Ethiopia. To the best of our knowledge, this is the first study to screen suicidal behavior and/ or suicide attempts among patients with mental illness who visit Psychiatric Clinic Units of Public Hospitals in Eastern Ethiopia.
The prevalence of suicidal behavior in this study is similar to that found in a study of psychiatric outpatients at Gondar Hospital (42%), however suicidal ideation is lower (64.8%). 26 This might be because the SBQ-R utilized in this study was unable to determine how many individuals had suicidal ideation prior to attempting suicide. The SBQ-R tool examined minor suicidal thoughts and intent independently. The researcher at Gondar Hospital designed a standardized questionnaire to measure how many suicide attempters had suicidal thoughts before attempting suicide. 26
This study found a greater lifetime percentage of suicidal thoughts and suicide attempts than a community-based survey of adults in Addis Ababa, Ethiopia, which found a lifetime prevalence of 2.7% and 0.9%, respectively. 90 The lifetime suicide attempt in this study was also greater than the 3.2% lifetime suicide attempt in a study carried out in Butajira (Southern Ethiopia) among the general adult population. 91 This is due to the fact that, in contrast to the previously described community-based research in Addis Ababa and Butajira, Ethiopia, our study was done in a hospital sample of patients living with mental illness. Several evidences suggest that persons with mental disorders are at a greater risk of suicide thoughts and attempts than the general population.22,32 -34,36,37,92,93
In this study, the lifetime prevalence of suicidal ideation, intent, and attempt is lower than in a national survey conducted in South Africa among adults with previous evidence of a DSM-V psychiatric disorder diagnosed, in which 61%, 64%, and 70.3% of patients reported suicidal ideation, plan, and attempt, respectively. 33 This disparity may be related to the fact that this study was only done among follow-up patients who may have had controlled suicidal behavior as a result of the therapy. Nonetheless, the lifetime prevalence of suicidal thoughts, intent, and attempt in this study is higher than the lifetime prevalence rates of suicidal ideation, intent, and attempt in a stress and health survey conducted in South Africa, where the lifetime prevalence rates of suicidal ideation, intent, and attempt were 9.1%, 3.8%, and 2.9%, respectively. 92 This might be because our research samples were persons living with psychiatric disorders, who are particularly vulnerable populations, as opposed to a community survey performed in South Africa.
However, the lifetime prevalence of suicidal behavior and suicide attempt in this study is lower than in a study of bipolar patients done in Finland. This might possibly be because patients with bipolar disease have a greater likelihood of suicide conduct during depressed periods. Depression was also found as an independent predictor of increased suicide behavior in this study. Suicidal behavior was prevalent at 80%, with 51% attempting suicide. 38 Furthermore, the lifetime incidence of suicidal thoughts and suicide attempts is lower than in research done in the United States of America among psychiatric outpatients who reported 55% and 25%, respectively, of suicidal ideation and suicide attempts. 22 This disparity might be explained by the fact that suicide is becoming more widespread in Western nations.3,4,25,94
The majority of suicide attempts in this study took place at home. The most prevalent method of recorded suicide attempts was hanging, followed by poisoning and drug/medication overdose. This is critical for preventing access by informing families and scheduling medicines for those at higher risk. Participation from families was the most readily available and often used kind of help to prevent attempted suicide. This is in accordance with research from other sections of the nation.26,37,90,91 The medicine overdose is dissimilar to other research in Ethiopia. This might be because the study was done on follow-up outpatients who were taking drugs.
Even though many societies may not report suicide behavior,95,96 mental illness is recognized as the most significant risk factor for suicide, making suicide a global public health concern. 97 In this study, suicidal behavior was more strongly associated with mood disorders, especially major depressive disorders and bipolar disorders, compared to those with schizophrenia. This finding was consistent with the findings of studies done in Taiwan, 98 South Korea, 99 and China, 100 which discovered that patients who felt hopeless or had comorbid depression were more likely to have suicidal behavior. One possible explanation for this could be that someone’s hopelessness warps their perception and prevents them from seizing any chances that could improve their situation.
A diagnosis of severe depressive disorders was substantially correlated with suicide behavior in this study, which is comparable to a study conducted in Butajira Ethiopia among persons suffering from severe psychiatric disorders, 37 in South African research. 33 Suicidal ideation was much more common among those with depressive disorders, and depression was found to be an indicator of risk for suicide attempts in multiple studies.32,34,101 Suicidal behaviors have been correlated with bipolar disease, as well as major depressive disorders. It’s analogous to research carried out in high-income nations.33,34,39 One of the most important determinants of suicidal behavior in bipolar disorders is the type/polarity of the current mood episode/state: pure major depressive episodes and mixed states carry the highest risk, while suicidal behavior is rarely present in (euphoric) mania, hypomania and during euthymic periods. 102
This study also showed that psychotropic medication non adherence associated with suicidal behavior. The finding of the current study was supported by study done in southern parts of Ethiopia 37 and Chinese study. 103 The possible explanation for this consistency might be due to treatment with psychotropic medication improves the quality of life and reduces symptoms in patients with severe mental illness.
In our research, we found that current alcohol usage was associated with suicidal behavior, which is similar to the research done on people with severe mental disorders in South Korea 102 and Butajira, Ethiopia 37 as well as a research conducted on depressed inpatients in Malaysia. 41 It was similarly comparable to research conducted among patients suffering from drug abuse problems in California, USA. 58 This is due to the fact that alcohol consumption impairs judgment and hope, which raises the risk of suicide. 104 Once a suicidal behavior is determined, alcohol drinking plays a critical role in behavior. 105 In other words, the hypothesis pertaining to the relationship between alcohol consumption and suicidal behavior holds that alcohol consumption and suicidal behavior are often impacted by an individual’s internalized or externalized psychopathology.106,107
Strength and Limitations of the Study
When compared to previous research, this study has its own strengths: For starters, the researchers used standardized instruments rather than traditional methods for assessing suicidal behavior. Second, substance use/abuse and social support were thoroughly evaluated. Although supplying helpful baseline data, there are still certain drawbacks: First, because the information was gathered using a face-to-face interviewer-administered technique, social desirability bias exists. As a result, respondents may respond in favor of others who are either excesses reporting or inadequate reporting. Second, there was remembering bias, maybe forgetfulness, and no verification of the facts they provided us. Furthermore, social desirability has the potential to undermine the reliability of test results. Research may suffer from compromised measurement validity. Social desirability bias, for instance, may result in erroneously strong correlations, falsely suggesting that two variables are more strongly correlated than they actually are. To overcome this, the trained data collectors have been instructed to grant participants anonymity, which entails making the survey as faceless as possible and allowing respondents to respond freely and honestly without fear of being silently judged by another person.
Conclusion and Recommendation
The prevalence of suicidal behaviors among adult psychiatric patients visiting public hospitals in eastern Ethiopia was found to be quite high in the current research. The majority of suicide attempts take place at home. Suicide attempts (hanging oneself, poisoning, and drug/medication overdose) may have been avoided. The engagement of family members was the primary factor for the failed suicide attempt. Suicidal behavior was linked with major depressive illnesses, bipolar disorders, current alcohol use disorders, and medication non-adherence. Regular evaluation and management of suicide behaviors in patients with depressive disorders, bipolar disorders, co-morbid drug use disorders, and medication non-adherence will be a critical component of healthcare system practice. Given that family participation is a factor of failed suicide attempts, teaching and equipping family members to recognize and recommend suicidal behavior will benefit greater access to emergency psychiatric treatment.
Our findings suggest that preventing access to suicide methods, especially for those with severe mental disorders, should be a key component of Ethiopia’s new government initiative to increase access to mental health care. The significance of individualized, all-encompassing mental health treatment that addresses the root causes of suicidal behavior, such as mental illnesses and substance abuse, should be emphasized.
Psychiatric professionals ought to regularly evaluate the patient’s suicidal risk assessment and diagnose suicide if the client is suicidal. This will allow all other professionals to concentrate on psychological treatment rather than medication. Inform the family and caregivers of suicidal patients about their intention to have close follow-up, past attempts at suicide, and current suicidal ideation. It is also advised that researchers carry out additional research to help determine the magnitude and forecast variables that allow stakeholders to take the necessary precautions.
Supplemental Material
sj-docx-1-inq-10.1177_00469580241282653 – Supplemental material for Suicidal Behaviors and Associated Factors Among Adult Psychiatric Patients Attending Psychiatric Clinic at Public Hospitals in Ethiopia: A Cross-Sectional Study
Supplemental material, sj-docx-1-inq-10.1177_00469580241282653 for Suicidal Behaviors and Associated Factors Among Adult Psychiatric Patients Attending Psychiatric Clinic at Public Hospitals in Ethiopia: A Cross-Sectional Study by Jerman Dereje, Dawit Firdisa, Aklilu Tamire, Seid Tesi, Mesay Dechasa and Tilahun Abdeta in INQUIRY: The Journal of Health Care Organization, Provision, and Financing
Supplemental Material
sj-docx-2-inq-10.1177_00469580241282653 – Supplemental material for Suicidal Behaviors and Associated Factors Among Adult Psychiatric Patients Attending Psychiatric Clinic at Public Hospitals in Ethiopia: A Cross-Sectional Study
Supplemental material, sj-docx-2-inq-10.1177_00469580241282653 for Suicidal Behaviors and Associated Factors Among Adult Psychiatric Patients Attending Psychiatric Clinic at Public Hospitals in Ethiopia: A Cross-Sectional Study by Jerman Dereje, Dawit Firdisa, Aklilu Tamire, Seid Tesi, Mesay Dechasa and Tilahun Abdeta in INQUIRY: The Journal of Health Care Organization, Provision, and Financing
Footnotes
Acknowledgements
We’d want to offer our deepest appreciation to our data collectors for their time and effort. We’d also want to thank the study participants who voluntarily supplied data for our study.
Author Contributions
Jerman Dereje and Tilahun Abdeta were engaged in conception, design, data acquisition, analysis, and interpretation, as well as drafting and revising the text. Dawit Firdisa, Seid Tesi, Aklilu Tamire, and Mesay Dechasa were the co-authors who contributed to the article review, tool assessment, interpretation, and critical review of the draft text. The final paper has been read and approved by all writers.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) received no financial support for the research, authorship, and/or publication of this article.
Ethical Approval
The Institutional Health Research Ethics Review Committee (IHRERC) at Haramaya University’s College of Health and Medical Sciences evaluated and approved the human subject’s study with reference number
Informed Consent
Each respondent provided informed, voluntary, written, and signed consent. Participants in the study were also informed that they had the option not to answer any questions. Completed questionnaires were handled with care, and all access to results was restricted to group members only. To protect responders’ confidentially, anonymity was maintained. Prior to participating in the study, all individuals received written consent in Amharic and Afan Oromo and signed it.
Trial Registration
Not applicable (N/A).
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References
Supplementary Material
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