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Osong Public Health Res Perspect > 10(1); 2019 > Article

Kim and Lee: Characteristics of Inpatients Who Survive Suicide Attempts

Abstract

ObjectivesThe purpose of this study was to analyze the characteristics and factors affecting the survival of inpatients admitted following a suicide attempt.

MethodsA total of 3,095 cases retrieved from the Korean National Hospital Discharge In-depth Injury Survey data (from 2011 to 2015) were grouped according to survival and death and analyzed using descriptive statistics chi-square and logistic regression analysis.

ResultsThe following factors had statistically significant risks on reducing survival: female (OR = 2.352, p < 0.001), 40–59 years old (OR = 0.606, p = 0.014), over 60 years old (OR = 0.186, p < 0.001), poisoning (OR = 0.474, p = 0.009), hanging (OR = 0.031, p < 0.001), jumping (OR = 0.144, p < 0.001), conflicts with family (OR = 2.851, p < 0.001), physical diseases (OR = 1.687, p = 0.046), mental health problems (OR = 2.693, p < 0.001), financial problems (OR = 3.314, p = 0.002), 2014 (OR = 2.498, p = < 0.001) and 2015 (OR = 2.942, p = 0.005).

ConclusionThe survival group that had a history of attempted suicide (high-risk suicide group), should be further characterized. It is necessary to identify the suicide methods and risk factors for suicide prevention management policies and to continuously expand the management policy according to these characteristics.

Keywords: death; hospitalization; inpatient; suicide; survival

IntroductionSuicide attempts that demonstrate a will to die [1] is a composite phenomenon of interactions involving various factors such as psychological pain, economic problems, physical health, social factors, and individual personality [27]. The suicide mortality rate in the Republic of Korea (2015) was 26.5 people per 100,000, which was the highest among OECD member nations [8]. The socioeconomic cost for suicide was 6,500 billion KRW in 2012, which was the second highest cost following cancer. Identifying suicide factors at a national level may help to alleviate the socio-economic impact.A history of attempted suicide has the greatest impact on suicide compared with other factors [913]. It has been reported that 10% of suicide attempts would be fatal within a period of 10 years of the first attempt and 19% to 24% of deaths caused by suicide occur in patients that had a history of suicide attempts [14]. Among individuals who have attempted suicide, 4.5% resulted in death within a month, with 9% to 37% attempting suicide again within 6 months [15]. It has been reported that 61% of those that attempt suicide have had emergency medical care and between 37.9% to 98.8% have been hospitalized [1619]. In the case of prolonged mental health treatment for those patients that have attempted suicide, the rate of committing suicide again decreased [20,21].Patients that survive an attempted suicide are classified as “predictable high-risk patients” due to repeated suicide attempts. Therefore, understanding the characteristics and behaviors of high-risk patients and giving institutional support, may help to reduce the risk of suicide by providing a therapeutic environment. However, in most cases the stay in the emergency room is short because patients (or their guardians) want to leave hospital once their immediate clinical problems have been resolved, resulting in a lack of in-depth consultations to address the whole issues [13]. Thus, a hospitalization period is more appropriate than emergency room treatment alone to encourage patients and their families to receive continuous psychotherapy.The purpose of this study was to analyze the characteristics and factors in patients that survived a suicide attempt. The patients that were admitted following a suicide attempt were assigned to the Survival group or Death group. Understanding the characteristics of those patients who attempt suicide may help to establish management methods that include initial crisis management from medical staff once patients enter hospital, and offer recommendations for long-term continuous treatment to prevent suicides.

Materials and Methods

1. PatientsData from the Korean National Hospital Discharge In-depth Injury Survey (KNHDIIS) between 2011 to 2015 (Korea Centers for Disease Control and Prevention) were used to provide data for national health improvement and healthcare policy. Healthcare statistics of major chronic diseases afflicting the nation were available through these patient medical records and the incidences following discharge were identified. The study population was restricted to patients who were discharged from general hospitals with more than 100 beds (excluding clinics), nursing hospitals, veteran’s hospitals, national army hospitals, or rehabilitation hospitals. Data were extracted by complex sample survey from 170 hospitals(30.3%) out of a total of 561 hospitals for the survey population.“Intentional self-harm suicide attempt” is a term that includes purposeful, self-inflicted poisoning or injury, in addition to attempted suicide. A total of 3,095 cases from the population surveyed aged 20 years and above (codes X60-X84 and Y87.0) were selected by using the Korean Standard Classification of Disease and Cause of Death, KCD-7 [16,2226].

2. Study designDependent variables were classified into either the Survival group or Death group; the Death group was identified using the discharge of deathbeds. Independent variables were characteristics of patients and suicide-related parameters. Characteristics of patients included gender and age (20–39, 40–59, and over 60 years) and the Charlson comorbidity index (CCI). CCI consisted of 17 disease groups and weights, 1–6 points per category (0 points, 1–2 points, over 3 points) and used the sum of the weights as the total score [27].Suicide-related characteristics included 1) suicide methods such as poisoning (X60-X69), hanging (X70), jumping (X80), and others (X72-X79, X80) [2326], 2) place of suicide (residence areas, non-residence areas), 3) associated risk factors (conflicts with family, physical diseases, mental problems, financial problems, others and unknown), 4) alcohol related (no drink, drink), 5) year (2011 to 2015), and 6) season (Spring, Summer, Autumn, Winter) [13,28].

3. Statistical analysisThe study patients that were admitted to hospital following a suicide attempt were assigned into the Survival or Death group. Frequencies and percentages were recorded and the chi-square test was performed. Multiple logistic regression was conducted. In this study, statistical program STATA 12.0 (Stata Corp, College Station, TX, USA) was used for analysis of the collected data. All tests were 2-sided, and statistical significance was reached at p < 0.05. Data excluding medical institution code and patient registered number (that would reveal personal identification) were obtained from Korea Centers for Disease Control and Prevention after review.

Results

1. General characteristics of patientsThe number of female patients hospitalized due to suicide attempts was higher than male patients. By age group, patients aged 40–59 years were the most likely to commit suicide followed by patients aged 20–39 years, then the over 60 years age group. The highest incidence of patients who attempted suicide were those with a CCI score of 0 points (86.0%), followed by 1–2 points (9.5%), then over 3 points (4.5%). The most common method of suicide was poisoning (79.3%) followed by other (14.1%), then hanging (4.2%), and jumping (2.4%). Most of the suicide attempts were made in non-residential areas (88.1%). The greatest risk factor of suicide attempts were other and unknown (42.3%), followed by mental health problems (26.2%), conflicts with the family (19.2%), financial problems (6.5%), and physical diseases (5.9%). Drinking was a factor involved in 1.2% of cases of attempted suicide. From 2011 to 2015, the percentage of the patients hospitalized due to suicide attempts peaked in 2012 (21.0%), and was at its lowest in 2015 (19.3%). Spring (41.4%) was the season where most suicide attempts were made followed by Summer (23.6%), Autumn (19.4%), and Winter (15.7%; Table 1).

2. Analysis of death and survival differences of patientsClassifying the patients hospitalized due to suicide attempt according to death and survival, 90.1% of them survived and 9.9% died. The survival rate of female patients (93.8%) was higher than males (85.7%). The lower their age, and the lower the CCI score, the higher the survival rate.Among suicide methods, the survival rates were highest in other (96.6%), followed by poisoning (91.0%), jumping (82.4%), then hanging (56.9%). In the risk factors causing an individual to commit suicide, survival rates were highest where financial problems were the main reason (95.5%), followed by conflicts with family (94.6%), mental health problems (94.0%), physical diseases (86.9%), and other and unknown (85.3%). The survival rate of the patients who attempted suicide in 2014 (94.9%) was the highest, followed by 2015 (92.6%), 2013 (88.9%), 2011 (88.1%), and 2012 (86.4%; Table 1).

3. Factors affecting survivalMultiple logistic regression analysis was performed to find out the statistically relevant risk factors for survival and death among the characteristics of the patients and the suicide attempts (Table 2).Compared to male patients, females [odds ratio (OR), 2.352, 95% confidence interval (CI), 1.781 to 3.106] had statistically significant higher survival rates. Physical diseases (OR, 1.687; 95% CI, 1.010 to 2.816), mental health problems (OR, 2.639; 95% CI, 1.886 to 3.847), conflicts with family (OR, 2.851; 95% CI, 1.873 to 4.339), financial problems (OR, 3.314; 95% CI, 1.579 to 6.954) and other and unknown also had statistically significant higher survival rates. The year of 2015 (OR, 2.942; 95% CI, 1.386 to 6.239) had the highest survival rates, followed by 2014 (OR, 2.498; 95% CI, 1.559 to 4.003) then 2011.Patients aged 40–59 years (OR, 0.606; 95% CI, 0.405–0.095) and over 60 years (OR, 0.186; CI 0.125–0.274) had statistically significant lower survival rates compared to 20–39 years old patients. Statistically significant lower survival rates were identified for poisoning (OR, 0.474; 95% CI 0.272 to 0.827), jumping (OR, 0.144; 95% CI 0.061 to 0.334), and hanging (OR, 0.031; 95% CI 0.159 to 0.061) compared with other suicide methods.

DiscussionSuicide is preventable [29]. People who have previously attempted suicide can be identified and preventive programs offered to reduce the risk of dying from suicide. The purpose of this research was to contribute to basic data on suicide prevention by identifying the characteristics and factors involved in suicide by analyzing patients grouped according to whether their suicide attempts resulted in Survival or Death using KNHDIIS data.A study in 2013, analyzed suicide attempts data from 2007 to 2011, from the emergency rooms of 16 hospitals that showed 2.7% of these patients died from their re-suicide attempts [30]. They also found that risk factors such as being the elderly, male, living alone, physical illness, psychiatric treatment, depressive disorders or a history of attempted suicide, were factors involved in repeated suicide attempts that resulted in death. In a 14-year follow-up study of 1,018 people who had attempted suicide, long-term risk factors were investigated using survival analysis. Risk factors such as male, history of suicide, psychiatric treatment, physical illness, and self-reported risk of suicide were analyzed [31]. A history of suicide was identified as a major predictor for further suicide attempts, therefore characterization of those who survived suicide may help in determining prevention strategies.In this study, multiple logistic regression was performed to identify death and survival factors of suicide attempts in patients. Female patients showed higher survival rates than males and the younger patients, the higher the survival rate. Among risk factors, financial problems were the highest factor, followed by conflict with family members, mental health problems, and physical diseases than other or unknown. In addition, compared to 2011, the survival rates increased in 2013, 2014, and 2015. Therefore, the study suggests that prevention policies to reduce the risk factors for suicide, should be based on characteristics of these survivor groups.There are a variety of data that can be used to study individuals who have attempted suicide. Statistics Korea, data of KNHDIIS, data from National Emergency Department Information System (NEDIS), Youth Health Behavior Online Survey, and data of social and psychological anxiety surveys in Korean society have been used for statistical analysis of the causes of death [3234]. Statistics from death reports in Statistics Korea have limitations because the causes of death do not provide details of the suicide attempts, preventing analysis of the characteristics of the survivors. Similar to the KNHDIIS data, NEDIS data of the patients in the emergency medical center were provided in the form of a combination of suicide attempts and death. However, there was insufficient information on death and survival after the first attempt. Thus, it is difficult to analyze the characteristics of self-harm or those that attempt suicide, the choices of suicide methods, and the possibilities of carrying out psychiatric treatment with medical staff using the NEDIS data. The KNHDIIS has been conducted on patients who were admitted following a suicide attempt. It is possible to analyze characteristics of the suicide attempt, characteristics of patients according to suicide method, and mortality and survival factors. However, there is a disadvantage in that data for those who did not come to any hospital, or from patients who are not hospitalized due to death or discharge from the center were not included. Therefore, it is necessary to construct data that can be analyzed to determine the characteristics of surviving patients after suicide attempts, and to elucidate the characteristics of the high-risk self-harming group.Suicide mortality is more closely related to the method of suicide than the risk factors involved in a suicide attempt [35]. Therefore, focusing on suicide methods will have a major effect on suicide prevention. Suicide methods are influenced by various factors such as the national culture and suicide prevention policies. In the WHO analysis of suicide mortality, pesticides in Asia and Latin America, drugs in Northern Europe and jumping in Hong Kong, Eastern Europe, and the United States of America, were reported as the main methods of suicide [36]. In Korea and Japan, gas poisoning is 1 of the main methods of suicide; firearms are used but it is rare [37]. It is necessary to apply effective preventive strategies focused on suicide methods that apply to the whole population including subgroups and individuals. In this study the research suggests that women over 60 years of age, who have suicide history should be identified.According to National Suicide Statistics in Korea from 2011 to 2015, the suicide mortality rate decreased from 31.8 to 26.5 persons per 100,000 population [8]. It was believed that a ban on the sale of parquet (fatal toxic pesticide), caused the decline in suicide mortality. This report also showed that the suicide admission rate of deliberate self-inflicted suicide attempts in elderly patients was reduced by less than 20%, and the survival rate increased after 2014. Therefore, access restriction (where possible) to products used in suicide attempts and environmental control implemented by public health strategies can help to prevent deliberate self-harm [23,38]. However, injuries from self-harm increased from 41.3 to 51.0 persons per 100,000 population during the same period in Korea [13,39]. Therefore, accounting for suicide methods should be reflected in suicide prevention policies.In establishing suicide prevention policies, suicide risk factors (which have a great effect on survival and death factors) including financial problems, conflict with family members, mental health problems, and physical illness, and love conflicts should all be considered [13,40]. In another study, the sequence of causes of suicidal attempt was interpersonal difficulties, conflicts with family members, financial problems, and hallucinations or delusions [41]. These differences in risk factors are due to differences in individuals, so further research into the risk factors encountered by high-risk suicide patients should be conducted to identify causal factors, which need to be reflected when establishing suicide prevention policies.The limitations of this study are as follows: Firstly, the number of patients in the study were limited to medical institutions with more than 100 beds. However, this allowed the data of the patients to be classified on a nationwide scale, and not restricted to a particular hospital, according to survival and death. This is where this study is different from other previous studies. Secondly, because of complex characteristics of suicide due to the interaction of various factors, many factors that could affect suicide attempts were not considered. This might be due to the limitation of the use of administrative data. In further studies, these limitations should be addressed by evaluating various risk factors which are known to be relevant to suicide. Despite the limitations, this study identified the characteristics of high-risk patients that can inform policymakers. Data from multiple sources needs to be collated and analyzed to help prevent suicide in high-risk individuals. This will enable policies aiding healthcare providers to develop suicide prevention strategies by identifying the characteristics of the high-risk group that have previously attempted suicide. It is necessary to continuously develop management policies to present solutions to minimize risk factors in high-risk suicide patients. To this end, it is important to devise policies to support the treatment for suicide prevention during the admission period after suicide attempts.

AcknowledgmentsThis research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Notes

Conflicts of Interest
The authors declare that they have no conflicts of interest.

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Table 1
Related characteristics of survival and death groups.
Patients
N = 3,095
Survival Group
N = 2,789 (90.1%)
Death Group
N = 306 (9.9%)
x2 p
Gender Male 1,414 (45.7) 1,212 (85.7) 202 (14.3) 56.541 < 0.001
Female 1,681 (54.3) 1,577 (93.8) 104 (6.2)

Age (y) 20 – 39 1,071 (34.6) 1,022 (95.4) 49 (4.6) 133.809 < 0.001
40 – 59 1,144 (37.0) 1,059 (92.6) 85 (7.4)
≥ 60 880 (28.4) 708 (80.5) 172 (19.5)

CCI 0 2,660 (86.0) 2,412 (90.7) 248 (9.3) 11.275 0.004
1 – 2 294 (9.5) 261 (88.8) 33 (11.2)
≥ 3 141 (4.5) 116 (82.3) 25 (17.7)

Methods Poisoning 2,455 (79.3) 2,233 (91.0) 222 (9.0) 187.935 0.004
Hanging 130 (4.2) 74 (56.9) 56 (43.1)
Jumping 74 (2.4) 61 (82.4) 13 (17.6)
Other 436 (14.1) 421 (96.6) 13 (3.4)

Place Residence areas 369 (11.9) 335 (90.8) 34 (9.2) 0.213 0.645
Non-residence areas 2,726 (88.1) 2,454 (90.0) 272 (10.0)

Risk factors Conflicts with family 593 (19.2) 561 (94.6) 32 (5.4) 69.046 < 0.001
Physical diseases 183 (5.9) 159 (86.9) 24 (13.1)
Mental problems 810 (26.2) 761 (94.0) 49 (6.0)
Financial problems 200 (6.5) 191 (95.5) 9 (4.5)
Other and unknown 1,309 (42.3) 1,117 (85.3) 192 (14.7)

Alcohol No drink 3,059 (98.8) 2,755 (90.1) 304 (9.9) 0.767 0.810
Drink 36 (1.2) 34 (94.4) 2 (5.6)

Year 2011 622 (20.1) 548 (88.1) 74 (11.9) 33.561 < 0.001
2012 649 (21.0) 561 (86.4) 88 (13.6)
2013 620 (20.3) 551 (88.9) 69 (11.1)
2014 608 (19.6) 577 (94.9) 31 (5.1)
2015 596 (19.3) 552 (92.6) 44 (7.4)

Season Spring 1,280 (41.4) 1,161 (90.7) 119 (9.3) 3.909 0.272
Summer 729 (23.6) 643 (88.2) 86 (11.8)
Autumn 599 (19.4) 543 (90.7) 56 (9.3)
Winter 487 (15.7) 442 (90.8) 45 (9.2)
Data are presented as n (%).
CCI = Charlson comorbidity index.
Table 2
Multiple logistic regression analysis.
OR p 95% CI
Gender Male 1
Female 2.352 < 0.001 1.781 – 3.106

Age (y) 20 – 39 1
40 – 59 0.606 0.014 0.405 – 0.905
≥ 60 0.186 < 0.001 0.125 – 0.274

CCI 0 1
1 – 2 1.361 0.155 0.890 – 2.079
≥ 3 0.957 0.869 0.569 – 1.611

Methods Poisoning 0.474 0.009 0.272 – 0.827
Hanging 0.031 < 0.001 0.159 – 0.061
Jumping 0.144 < 0.001 0.061 – 0.334
Other 1

Place Residence areas 1
Non-residence areas 1.075 0.144 0.976 – 1.183

Risk factors Conflicts with family 2.851 < 0.001 1.873 – 4.339
Physical diseases 1.687 0.046 1.010 – 2.816
Mental problems 2.693 < 0.001 1.886 – 3.847
Financial problems 3.314 0.002 1.579 – 6.954
Other and unknown 1

Alcohol No drink 1
Drink 1.186 0.827 0.258 – 5.439

Year 2011 1
2012 0.834 0.333 0.577 – 1.204
2013 1.039 0.843 0.709 – 1.523
2014 2.498 < 0.001 1.559 – 4.003
2015 2.942 0.005 1.386 – 6.239

Season Spring 1
Summer 1.000 0.999 0.695 – 1.440
Autumn 1.152 0.485 0.774 – 1.716
Winter 1.076 0.741 0.698 – 1.567
CCI = Charlson comorbidity index; CI = confidence interval; OR = odds ratio.