Skip to main content
PLOS One logoLink to PLOS One
. 2024 Apr 18;19(4):e0300054. doi: 10.1371/journal.pone.0300054

Risk factors of reattempt among suicide attempters in South Korea: A nationwide retrospective cohort study

Min Ji Kim 1,2, Jeong Hun Yang 1,2, Min Jung Koh 3, Youngdoe Kim 3, Bolam Lee 3, Yong Min Ahn 1,2,*
Editor: Xenia Gonda4
PMCID: PMC11025816  PMID: 38635747

Abstract

This study aimed to identify underlying demographic and clinical characteristics among individuals who had previously attempted suicide, utilizing the comprehensive Health Insurance Review and Assessment Service (HIRA) database. Data of patients aged 18 and above who had attempted suicide between January 1 and December 31, 2014, recorded in HIRA, were extracted. The index date was identified when a suicide attempt was made within the year 2014. The medical history of the three years before the index date and seven years of follow-up data after the index date were analyzed. Kaplan-Meier estimate was used to infer reattempt of the suicide attempters, and Cox-proportional hazard analysis was used to investigate risk factors associated with suicide reattempts. A total of 17,026 suicide attempters were identified, of which 1,853 (10.9%) reattempted suicide; 4,925 (28.9%) patients had been diagnosed with depressive disorder. Of the reattempters, 391 (21.1%) demonstrated a history of suicide attempts in the three years before the index date, and the mean number of prior attempts was higher compared to that of the non-reattempters (1.7 vs.1.3, p-value < 0.01). Prior psychiatric medication, polypharmacy, and an increase in the number of psychotropics were associated with suicide reattempt in overall suicide attempters. (Hazard ratio (HR) = 3.20, 95% confidence interval [CI] = 2.56–4.00; HR = 2.42, 95% CI = 1.87–3.14; HR = 19.66, 95% CI = 15.22–25.39 respectively). The risk of reattempt decreased in individuals receiving antidepressant prescriptions compared to those unmedicated, showing a reduction of 78% when prescribed by non-psychiatrists and 89% when prescribed by psychiatrists. Similar risk factors for suicide reattempts were observed in the depressive disorder subgroup, but the median time to reattempt was shorter (556.5 days) for this group compared to that for the overall attempters (578 days). Various risk factors including demographics, clinical characteristics, and medications should be considered to prevent suicide reattempts among suicide attempters, and patients with depressive disorder should be monitored more closely.

Introduction

Suicide is one of the most serious public health concerns, with approximately 703,000 people worldwide dying by suicide each year, according to the World Health Organization [1]. The grave problem is not only a tragedy that affects families and communities but also a leading cause of death among young adults, resulting in a high national economic burden [2, 3]. To prevent suicide, several studies have investigated its risk factors, including sociodemographic factors, clinical diagnoses, and medications [4, 5]. Among the many risk factors that have been studied, a history of suicide attempts is the most critical and has been supported by several studies [6, 7]. Consequently, it becomes necessary to prioritize prevention efforts at the secondary level, targeting individuals who have previously attempted suicide [8]. From this perspective, it is crucial to determine the appropriate duration for the vigilant monitoring of patients and examine the distinct factors influencing reattempts through other means to prevent a potential suicide attempt. According to previous cohort studies on suicide attempters, the highest risk for completed suicide or subsequent suicide attempts occurred within the first two years following the initial attempt. Appropriate support and intervention during this period can play a pivotal role in reducing the risk of further tragic outcomes [7, 9].

Depression has been highlighted as an important risk factor for suicide since it is the most common psychiatric disorder in people who die by suicide [1012]. Previous studies have confirmed that about 30% of patients with major depressive disorder (MDD) attempt suicide during their lifetime [13]. Other studies have reiterated that individuals diagnosed with depression showed increased rates of suicide mortality and, thus, require close observation across different age groups and cultural backgrounds [1416]. In this context, the United States Preventive Services Task Force recommended that suicide-risk assessments be based on depression screenings [17]. Early screening and optimizing treatment are important, especially for those who suffer from MDD, because early intervention could lead to the prevention of suicide [18].

Although it has been postulated that psychotropic medications may be associated with suicide attempts, not much evidence has been accumulated to demonstrate how the number of and reasons for prescribing medications affects suicide attempts. Antidepressants are the most frequently prescribed medications for individuals who have attempted suicide; they target both the treatment of the underlying mental disorder and suicidality [19]. However, there is no consensus on whether antidepressant usage prevents suicide reattempts. Some previous studies suggest that antidepressants may result in an increased risk of suicidality, especially in adolescents [20]. Antipsychotics have been known to have preventive effects on suicidal ideation, attempts, and deaths [21]. However, some longitudinal studies reported antipsychotics has an association with suicide attempts, implying that people taking antipsychotics may have more severe depression which may include psychotic features [7]. Despite the many related studies, the association between reattempts and medication types or the use of polypharmacy remains elusive.

In this study, we aimed to investigate multiple variables including sociodemographic factors and medication usage that influence reattempts among patients who have previously attempted suicide using South Korea’s national claim’s data. South Korea is known for its high suicide rate, recorded at 24 to 25 deaths per 100 thousand population [22]. Among suicide attempters, patients with depressive disorder were analyzed separately as a subgroup considering their distinct clinical characteristics. By analyzing comprehensive factors affecting suicide reattempts, our objective is to contribute to developing optimal strategies for preventing subsequent suicide attempts.

Materials and methods

This retrospective cohort study substantially identified the events of study interest (i.e. suicide attempt) using the South Korea’s Health Insurance Review and Assessment Service (HIRA) research data derived from claims within the Korean National Health Insurance. The National Health Insurance system in South Korea provides coverage to nearly 97% of the country’s population. This extensive coverage enables comprehensive documentation of prescriptions and medical procedures carried out by healthcare institutions for insured individuals, resulting in a comprehensive record of reimbursable medical activities at a national scale. Within psychiatry, most psychotropic prescriptions and consultation fees are typically covered under appropriate diagnoses. For more detailed information about the database, additional references are available for further elucidation [23, 24].

A suicide attempt was defined when an individual presented both suicide-related diagnosis codes and emergency care-related codes, primarily to capture medically severe attempts meeting a minimum threshold of lethality. Suicide-related diagnosis codes not only included R45.8 (other symptoms and signs involving emotional state), X60–X84 (intentional self-harm), Y87 (sequelae of intentional self-harm, and assault and events of undetermined intent), Z64.2 and Z64.3 (problems related to seeking and accepting physical/behavioral, nutritional, and chemical/psychological interventions known to be hazardous and harmful), Z91.5 (personal history of suicide attempt), but also included selected unintentional injuries outlined in S1 Table. This inclusion was based on a comparative analysis of the frequency and methods of suicide attempts with data from the National Emergency Department Information System (NEDIS) [25]. NEDIS independently assesses the intention of injuries, which are not collected in the claim data. Specific unintentional codes were integrated into the cohort entirely, while some were included when accompanied by concurrent psychiatric consultation services during the emergency room visit. The final comparison of the study cohort and 2014 NEDIS suicide attempt data is depicted in S3 Table. The emergency care-related behavior codes have been selected to delineate an individual’s visit to the emergency room. A detailed explanaiton of each code can be found in S2 Table. The NN100 code is exclusively applied when a psychiatric consultation service has been conducted within the emergency room setting. To define the subgroup of depressive disorder among total suicide attempters, we used either F32 (depressive episode) or F33 (recurrent depressive disorder) as a primary code.

Patients aged 18 to 100 who had attempted suicide between January 1 and December 31, 2014, were screened for inclusion in this study. To ensure the integrity of our analysis regarding suicide-related codes, specifically concerning unintentional injuries within this demographic, individuals aged over 100 were excluded from the study cohort. The index date was identified as the date when the first suicide attempt was made in 2014, and those with a medical record of three years before the index date and about seven years of follow-up after the index date were included in this study (Fig 1A). As a result, we obtained an anonymized data set of 10 years starting from January 1, 2011, to August 31, 2020, containing variables such as patient demographics, disease diagnoses, comorbidities, types of medications used, and status of healthcare utilization. Medications were grouped as tricyclic antidepressants (TCAs), selective serotonin reuptake inhibitors (SSRIs), serotonin–norepinephrine reuptake inhibitors (SNRIs), noradrenergic and specific serotonergic antidepressants (NaSSAs), monoamine oxidase inhibitors (MAOIs), norepinephrine-dopamine reuptake inhibitors (NDRI), other antidepressants, and atypical antipsychotics.

Fig 1.

Fig 1

The study design (A) and flow of patient selection (B).

The evaluation of baseline comorbidities involved calculating the Charlson Comorbidity Index (CCI) score, which was derived from claims records spanning the year preceding the index year. The treatment status was assessed based on the treatment’s start date to the end date including the medication class, frequency, and duration of treatment for the initial suicide attempt. The frequency of and time to a reattempt after the index date were summarized. For healthcare utilization, the total number of inpatient admissions per person-time, duration of each hospital stay, time to psychiatric inpatient admission, and number of visits to psychiatric or emergency departments after the index date were assessed.

To compare the baseline demographics and clinical characteristics between reattempters and non-reattempters, we used the Mann–Whitney U-test or Student’s T-test for continuous variables and the Pearson’s Chi-Squared test or Fisher’s exact test for categorical variables. We also used the Kaplan-Meier method to estimate the reattempt rate for both overall suicide attempters and those in the depressive disorder subgroup. In addition, a multivariate Cox proportional hazards model was used to assess the risk factors of suicide reattempt. P <0.05 was considered statistically significant. Analyses were performed using the SAS version 9.4 statistical software package (SAS Institute, Cary, NC, USA).

The protocol of the study was exempted from review by Public Institutional Review Board Designated by Ministry of Health and Welfare (IRB number: P01-202010-21-030). All data were fully anonymized before accessed them.

Results

Of 20,614 identified suicide attempters, 17,026 were included in the analysis after excluding individuals with insufficient claim data before or after the index date, and those outside the specified age range of 18-100(Fig 1B). Overall, 1,853 patients (10.9%) reattempted suicide among the 17,026 suicide attempters within seven years, whereas 15,173 patients did not. Among suicide attempters in the index year, 4,925 patients (28.9%) were diagnosed with depressive disorder, among whom 936 patients (19.0%) reattempted suicide within seven years (Fig 1B).

The baseline demographics and clinical characteristics of all participants are described in Table 1. The results reveal a higher percentage of female (60.3%) than male (39.7%) suicide attempters; similarly, female patients comprised a higher proportion among reattempters than among non-reattempters (67.2% vs. 59.5%; p-value < 0.0001). The mean age of all suicide attempters was 50.1 ±18.27 years, and the mean age of suicide reattempters was younger than that of non-reattempters (45.5 vs. 50.7 years old; p-value < 0.0001). Similarly, the proportion of those who lived in metropolitan areas was higher among reattempters than among non-reattempters (48.9% vs. 44.5%; p-value = 0.0052). The mean CCI score among suicide attempters was higher than that of non-reattempters (1.7 vs. 1.6, p-value = 0.0063).

Table 1. Overall baseline and clinical characteristics of suicide attempters.

Overall suicide attempters
Category Total Reattempters Non-reattempters P-value
N = 17026 N = 1853 N = 15173
Demographics
Female (%) 10275 (60.3) 1246 (67.2) 9029 (59.5) <0.0001
Age, years,
Mean ± SD
50.1 ±18.27 45.5 ±16.80 50.7 ±18.36 <0.0001
Metropolitan area
(Seoul/Gyeonggi; %)
7659 (45.0) 906 (48.9) 6753 (44.5) 0.0052
Medical History
CCI Score,
Mean ± SD
1.6 ±1.98 1.7 ±2.00 1.6 ±1.98 0.0063
Having attempted suicide in the past 3 years (%) 1253 (7.4) 391 (21.1) 862 (5.7) <0.0001
Number of suicide attempts in the past 3 years, Mean ± SD 1.4 ±1.04 1.7 ±1.39 1.3 ±0.80 <0.0001
With psychiatric illness (F-code) (%) 11495 (67.5) 1592 (85.9) 9903 (65.3) <0.0001
Psychotropic Medications
Having taken prior medications (%) 9712 (57.0) 1464 (79.0) 8248 (54.4) <0.0001
Prior medication <2ADs without antipsychotics (%) 10388 (61.0) 671 (36.2) 9717 (64.0) <0.0001
Prior medication <2ADs with antipsychotics (%) 1431 (8.4) 212 (11.4) 1219 (8.0)
Prior medication > = 2ADs without antipsychotics (%) 2829 (16.6) 411 (22.2) 2418 (15.9)
Prior medication > = 2ADs with antipsychotics (%) 2378 (14.0) 559 (30.2) 1819 (12.0)
More than 3 medications (%) 5720 (33.6) 781 (42.1) 4939 (32.6) <0.0001
Use of atypical antipsychotics (%) 6132 (36.0) 862 (46.5) 5270 (34.7) <0.0001
Medication utilization
No medications (%) 5756 (33.8) 446 (24.1) 5310 (35.0) <0.0001
Medications prescribed by a non- psychiatrist (%) 3394 (19.9) 316 (17.0) 3033 (20.0)
Medications prescribed by a psychiatrist (%) 7876 (46.3) 1046 (56.4) 6830 (45.0)

Note.AD: antidepressants; CCI: Charlson Comorbidity Index; SD: standard deviation

In addition, the suicide reattempt group had a higher proportion of people who had a history of suicide attempts in the past three years before the index attempt when compared to the suicide non-reattempter group (21.1% vs. 5.7%; p-value < 0.0001). The mean number of prior suicide attempts was higher in the suicide reattempters when compared to non-reattempters (1.7 vs. 1.3, p-value < 0.0001). Those who had a psychiatric illness (defined by F-code) had a significantly higher percentage of reattempters compared to those without any psychiatric illness (85.9% vs. 65.3%; p-value < 0.0001).

In addition, those who had taken any prior psychiatric medications had a significantly higher percentage among reattempters compared to those among non-reattempters (79.0% vs. 54.4%; p-value < 0.0001). The proportion of participants in four subgroups (i.e. less than two antidepressant without antipsychotics, less than two antidepressant with antipsychotics, two or more antidepressants without antipsychotics, and two or more antidepressants with antipsychotics) differed among suicide reattempter group and non-reattempter group (p-value < 0.0001). The proportion of patients with more than three medications or the proportion of patients with use of atypical antipsychotics were higher in suicide reattempters when compared to suicide non-reattempters (42.1% vs 32.6%, p-value < 0.0001; 46.5% vs. 34.7%, p-value < 0.0001). A higher proportion of reattempter group received medications from psychiatrists (56.4% vs 45.0%, p-value < 0.0001).

Demographic and clinical variables among the depressive disorder subgroup are depicted in Table 2. The results showed similar trends of demographic and clinical factors for the overall population. However, a higher percentage of non-reattempters were observed in the depressive disorder subgroup whose psychiatric medications were prescribed by psychiatrists when compared to non-reattempters (69.2% vs. 76.5; p-value < 0.0001). Several concurrent medications (more than 3 medications) and the use of antipsychotics did not show a statistically significant difference among reattempters and non-reattempters in this depressive disorder subgroup.

Table 2. Baseline and clinical characteristics of the depressive disorder subgroup.

Suicide attempters with depressive disorder
Category Total Reattempters Non-reattempters P-value
N = 4925 N = 936 N = 3989
Demographics
Female (%) 3525 (71.6) 695 (74.3) 2830 (70.9) 0.0435
Age, years,
Mean ± SD
47.3 ±17.30 43.1 ±15.43 48.3 ±17.57 <0.0001
Metropolitan area
(Seoul/Gyeonggi; %)
2231 (45.3) 470 (50.2) 1761 (44.1) 0.1207
Medical History
CCI Score,
Mean ± SD
1.7 ±1.94 1.8 ±1.91 1.7 ±1.95 0.3184
Having attempted suicide in the past 3 years (%) 773 (15.7) 284 (30.3) 489 (12.3) <0.0001
Number of suicide attempts in the past 3 years, Mean ± SD 1.5 ±1.11 1.7 ±1.35 1.4 ±0.93 0.0009
Psychotropic medications
Having taken prior medications (%) 4791 (97.3) 925 (98.8) 3866 (96.9) 0.0012
Prior medication <2ADs withoutantipsychotics (%) 971 (19.7) 101 (10.8) 870 (21.8) <0.0001
Prior medication <2ADs with antipsychotics (%) 404 (8.2) 88 (9.4) 316 (7.9)
Prior medication > = 2ADs without antipsychotics (%) 1758 (35.7) 282 (30.1) 1476 (37)
Prior medication > = 2ADs with antipsychotics (%) 1792 (36.4) 465 (49.7) 1327 (33.3)
More than 3 medications (%) 2805 (57.0) 522 (55.8) 2283 (57.2) 0.4159
Use of atypical antipsychotics (%) 2839 (57.6) 555 (59.3) 2284 (57.3) 0.2562
Medication utilization
No medications (%) 542 (11.0) 110 (11.8) 432 (10.8) <0.0001
Medications prescribed by a non-psychiatrist (%) 684 (13.9) 178 (19.0) 506 (12.7)
Medications prescribed by a psychiatrist (%) 3699 (75.1) 648 (69.2) 3051 (76.5)

Note. Percentages were based on N (the number of patients in the analysis set for each group). AD: antidepressants; CCI: Charlson Comorbidity Index (using one-year data before the index date); SD: standard deviation

Next, we analyzed the reattempt estimate of suicide attempters using the Kaplan-Meier curve as depicted in Fig 2. The survival probability due to suicide reattempts decreased to 0.9344 after 1000 days from the index attempt and to 0.8926 after 2500 days. However, the survival probability decreased more rapidly to 0.8582 at 1000 days and to 0.7668 at the end of this study in the depressive disorder subgroup. The median time to reattempt was 578 days for overall suicide attempters and 556.6 days for the depressive disorder subgroup.

Fig 2. Kaplan-Meier curve for overall suicide attempters and the depressive disorder subgroup.

Fig 2

To further identify individual risk factors of suicide reattempts after the index year, a multivariate Cox proportional hazards model was used for overall suicide attempters described in Table 3 and for the depressive disorder subgroup described in Table 4. The analysis revealed that prior history of suicide attempts, psychiatric illness, diagnosis of depressive disorder, and psychiatric medications increased the risks of suicide reattempts in both overall suicide attempters (hazard ratio [HR] = 2.23, confidence interval [CI] = 1.978,2.517; HR = 1.77, CI = 1.469,2.134; HR = 1.3, CI = 1.154,1.465; HR = 3.2, CI = 2.561,3.996, respectively) and the depressive disorder subgroup (HR = 1.98, CI = 1.716,2.294; HR = 1.77, CI = 1.469, 2.134; HR = 1.30, CI = 1.154,1.465; HR = 3.2, CI = 2.561,3.996, respectively). In particular, the HR significantly rose with medication increase group after the index date when compared to medication decrease group in the overall suicide attempters and depressive disorder subgroup (HR = 19.66, 95% CI: 15.216,25.391; HR = 19.62, 95% CI: 13.472,28.561, respectively). However, when the medications were prescribed by psychiatrists, the HR of suicide reattempts decreased compared to those who did not take any medications among the overall suicide attempters (HR 0.11, 95% CI: 0.093,0.134, p-value<0.0001) as well as the depressive disorder subgroup (HR 0.06, 95% CI: 0.047, 0.081, p-value<0.0001).Notably, the hazard ratio (HR) for individuals prescribed antidepressants by non-psychiatrists and psychiatrists demonstrated a significant reduction in the risk of suicide reattempt by 78% and 89%, respectively, compared to individuals who did not receive medication (HR 0.22, 95% CI: 0.183, 0.236; HR 0.11, 95% CI: 0.093, 0.134). Within the subgroup with depressive disorder, the reduction in the risk of suicide reattempt exhibited a similar trend, as reflected by the hazard ratios (HRs) for prescriptions from both non-psychiatrist and psychiatrist sources at 0.18 and 0.06, respectively when compared with unmedicated group (HR 0.18, 95% CI: 0.132, 0.239; HR 0.06, 95% CI: 0.047, 0.081).)a

Table 3. Multivariate Cox proportional hazards model for suicide reattempt after the index year among overall suicide attempters.

Variable Overall suicide attempters
Hazard Ratio 95% CI P-value
Lower Upper
Age (Years) - 0.99 0.983 0.989 <0.0001
Residential area Non-metropolitan region Ref. - - 0.0039
Metropolitan region 1.15 1.045 1.257
CCI Score Score:0 Ref. - - 0.0002
Score: ≥1 1.05 1.024 1.079
Suicide attempts in past 3 years No Ref. - - <0.0001
Yes 2.23 1.978 2.517
Diagnosed with psychiatric illness (F-code) No Ref. - - <0.0001
Yes 1.77 1.469 2.134
Diagnosed with depressive disorder No Ref. - - <0.0001
Yes 1.3 1.154 1.465
prior psychotropic medications No Ref. - - <0.0001
Yes 3.2 2.561 3.996
Number of antidepressants with or without antipsychotics <2ADs without antipsychotics Ref. - - <0.0001
Prior medication <2ADs withantipsychotics 1.97 1.632 2.378
Prior medication > = 2ADs wihtout antipsychotics 1.61 1.338 1.931
Prior medication > = 2ADs with antipsychotics 2.42 1.868 3.142
Prior psychotropic medications No Ref. - - <0.0001
Yes 1.16 1.08 1.253
Psychotropics taken before and after the index date Decrease Ref. - - <0.0001
No change 6.85 5.443 8.616
Increase 19.66 15.216 25.391
Prescribed antidepressants No medications Ref. - - <0.0001
By a non-psychiatrist 0.22 0.183 0.268
By a psychiatrist 0.11 0.093 0.134

Note.AD: antidepressants; CCI: Charlson Comorbidity Index

Table 4. Multivariate Cox proportional hazards model for suicide reattempt after the year among the depressive disorder subgroup.

Variable Suicide attempters with depressive disorder
Hazard Ratio 95% CI P-value
Lower Upper
Age (Years) - 0.98 0.979 0.988 <0.0001
Residential area Non-metropolitan area Ref. - - 0.0143
Metropolitan area 1.18 1.033 1.339
CCI Score Score:0 Ref. - - 0.0002
Score: ≥1 1.07 1.034 1.114
Suicide attempts in past 3 years No Ref. - - <0.0001
Yes 1.98 1.716 2.294
Diagnosed with psychiatric illness (F-code) No Ref. - - <0.0001
Yes 1.77 1.469 2.134
Diagnosed with depressive disorder No Ref. - - <0.0001
Yes 1.3 1.154 1.465
prior psychotropic medications No Ref. - - <0.0001
Yes 3.2 2.561 3.996
Number of antidepressants with or without antipsychotics <2ADs without antipsychotics Ref. - - <0.0001
Prior medication <2ADs withantipsychotics 5.66 2.936 10.914
Prior medication > = 2ADs withoutantipsychotics 2.67 1.974 3.609
Prior medication > = 2ADs with antipsychotics 2 1.566 2.562
Prior psychotropic medications No Ref. - - <0.0001
Yes 3.18 2.472 4.084
Psychotropics taken before and after the index date Decrease Ref. - - <0.0001
No change 15.28 10.767 21.688
Increase 19.62 13.472 28.561
Prescribed antidepressants No medications Ref. - - <0.0001
By a non-psychiatrist 0.18 0.132 0.239
By a psychiatrist 0.06 0.047 0.081

Note.AD: antidepressants; CCI: Charlson Comorbidity Index

Discussion

In this study, we evaluated the baseline demographics and psychiatric medication usage of suicide attempters using the HIRA database, which covers almost the entire Korean population. A total of 1,853 out of 17,026 (10.9%) suicide attempters were found to have reattempted suicide after the index year. The median time from the index time to the reattempt was 578.0 days, and 21.1% of reattempters demonstrated a history of suicide attempts in the three years before the index date. The multivariate Cox model analysis revealed that prior psychiatric medication and use of multiple psychotropics were highly associated with suicide reattempts in both overall suicide attempters and the depressive disorder subgroup. However, the risk of reattempt was lower if psychiatrists rather than non-psychiatrists prescribed the medications.

There are several important implications from the current findings. First, we found that if there was a suicide attempt before the index attempt, the HR of reattempt after the index attempt becomes 2.23 times greater when compared to those without previous suicide attempts before the index event (95% CI: 1.978, 2.517, p-value <0.0001). This suggests that the people who make multiple suicide attempts should be closely observed due to their high risk of reattempts. Our analysis suggests that the optimal duration of close observation should last between 6 and 24 months for those with previous suicide attempts considering the median time to reattempt was shorter (556.5 days) in the depressive disorder subgroup compared to the overall group (578 days).

Second, 19% of those in the depressive disorder subgroup reattempted suicide, which was nearly double the reattempts among all suicide attempters (10.9%). This suggests that depressive disorder is a major risk factor for suicide as described in previous studies [15, 26, 27]. Notably, within the depressive disorder subgroup, a significant proportion of participants were prescribed two or more antidepressants years before the index date, and their medical records show concurrent usage of three or more antidepressants. This implies that their disease status was severe, and the possibility of treatment-resistant depression (TRD) emerged considering its definition as an inadequate response even after more than two qualifying antidepressants with or without antipsychotic use for an adequate treatment duration [28]. Several lines of research have shown that TRD patients not only suffer from higher medical costs than patients with non-TRD but also have a higher risk of suicide attempts and completed suicide rates [2931]. These results point to the importance of screening the severity of depression as early as possible along with treatment resistance to reduce suicidal risk for depressive disorder patients in routine clinical practice.

Third, the subgroups with a history of multiple psychotropics use had a higher risk of suicide reattempts. Patients who were prescribed two or more antidepressants with antipsychotics had a 3.18 times higher risk of suicide reattempts (95% CI: 2.472, 4.084, p-value <0.0001) than those who had been treated with less than two types of antidepressants. This indicates that the risk of suicide does not reduce even after patients are treated with medications and multiple psychotropics, possibly due to the residual symptoms from their primary diagnosis -depressive disorder. Thus, clinical interventions for suicidality should be more frequent in patients who use multiple types of drugs, and their symptoms should be effectively addressed.

Fourth, our study suggests that when psychiatric medications were prescribed by psychiatrists, the risk of suicide reattempt was lower than when psychiatric medications were prescribed by non-psychiatrists especially in the depressive disorder subgroup. A few previous studies also reveal that antidepressants prescribed by different medical providers lead to different outcomes and adherence patterns in treating depressive disorder [3234]. The current study suggests that prescriptions by psychiatrists are associated with lower risks of reattempts in overall attempters (HR = 0.11, 95% CI = 0.093,0.134), and even lower risks in suicidal patients with depressive disorder (HR = 0.06, 95% CI = 0.017,0.081) when compared with people who did not take medications after suicide attempt. Therefore, it would be advisable to refer individuals suffering from severe or acute suicidality to psychiatrists for evaluation and treatment optimization.

Limitation

The present study has several limitations. As it relied on claim-based data, the study population was selected solely based on diagnostic codes, and not on their clinical evaluation.Although efforts were made to validate the diagnosis of suicide attempts by cross-referencing additional independent national data sources, it is essential to acknowledge that the categorization of the suicide attempt group remains operational, potentially resulting in some degree of misclassification. In addition, we were unable to assess adherence to antidepressant medications as claim data cannot capture the extent to which patients follow prescribed medication regimens. The crucial doctor-patient relationship, which plays a significant role in medication adherence, also could not be assessed within the scope of this investigation.

Conclusion

The burden of suicide remains underestimated. The current study comprehensively investigated the risk factors of suicidal reattempts from the perspective of clinical, pharmacological, and in-service providers’. Our study results revealed various risk factors associated with suicide reattempts among suicide attempters and suggested that patients with depressive disorder should be monitored closely. Future research should characterize risk groups based on their treatment history to assess TRD and develop individualized prevention strategies for potential harms or risks of suicide attempts.

Supporting information

S1 Checklist. Human participants research checklist.

(DOCX)

pone.0300054.s001.docx (54.4KB, docx)
S1 Table. Suicide-related diagnoses and categorization.

(DOCX)

pone.0300054.s002.docx (18.3KB, docx)
S2 Table. Emergency care-related codes.

(DOCX)

pone.0300054.s003.docx (15.2KB, docx)
S3 Table. Comparison of the cohort with 2014 NEDIS data.

(DOCX)

pone.0300054.s004.docx (16.2KB, docx)

Data Availability

Data cannot be shared publicly because it is a third party data. Data can be obtained via website of HIRA(HIRA bigdata open portal) by filling out the application. The data is provided in a DVD (text file) format and a fee for the data is subject to be charged. More detailed information on how to access the database is in the following website: https://opendata.hira.or.kr/op/opc/selectOpenDataAplInfoView.do. Other researcheres would have the same access to these data as the authors, and the authors did not possess any special access privileges not available to others.

Funding Statement

This study was funded by Janssen Korea Ltd. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.World Health Organization. Suicide worldwide in 2019: global health estimates. 2019. Available from: https://www.who.int/publications/i/item/9789240026643. [Google Scholar]
  • 2.Lee SU, Park JI, Lee S, Oh IH, Choi JM, Oh CM. Changing trends in suicide rates in South Korea from 1993 to 2016: a descriptive study. BMJ Open. 2018;8(9):e023144. doi: 10.1136/bmjopen-2018-023144 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Shepard DS, Gurewich D, Lwin AK, Reed GA Jr, Silverman MM. Suicide and suicidal attempts in the United States: costs and policy implications. Suicide Life Threat Behav. 2016;46(3):352–362. doi: 10.1111/sltb.12225 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Masango S, Rataemane S, Motojesi A. Suicide and suicide risk factors: a literature review. S Afr Fam Pract. 2008;50(6):25–29. [Google Scholar]
  • 5.Mościcki EK. Identification of suicide risk factors using epidemiologic studies. Psychiatr Clin North Am. 1997;20(3):499–517. doi: 10.1016/s0193-953x(05)70327-0 [DOI] [PubMed] [Google Scholar]
  • 6.Bostwick JM, Pabbati C, Geske JR, McKean AJ. Suicide attempt as a risk factor for completed suicide: even more lethal than we knew. Am. J. Psychiatry. 2016;173(11):1094–1100. doi: 10.1176/appi.ajp.2016.15070854 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Irigoyen M, Porras-Segovia A, Galván L, Puigdevall M, Giner L, De Leon S, et al. Predictors of re-attempt in a cohort of suicide attempters: a survival analysis. J Affect Disord. 2019;247:20–28. doi: 10.1016/j.jad.2018.12.050 [DOI] [PubMed] [Google Scholar]
  • 8.Ghanbari B, Malakouti SK, Nojomi M, Alavi K, Khaleghparast S. Suicide prevention and follow-up services: a narrative review. Glob J Health Sci. 2016;8(5):145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Tejedor M, Diaz A, Castillon J, Pericay J. Attempted suicide: repetition and survival findings of a follow‐up study. Acta Psychiatr Scand. 1999;100(3):205–211. doi: 10.1111/j.1600-0447.1999.tb10847.x [DOI] [PubMed] [Google Scholar]
  • 10.Bradvik L. Suicide Risk and Mental Disorders. Int J Environ Res Public Health. 2018;15(9):2028. doi: 10.3390/ijerph15092028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Kim GE, Jo MW, Shin YW. Increased prevalence of depression in South Korea from 2002 to 2013. Sci Rep. 2020;10(1):16979. doi: 10.1038/s41598-020-74119-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Hawton K, i Comabella CC, Haw C, Saunders K. Risk factors for suicide in individuals with depression: a systematic review. J Affect Disord. 2013;147(1–3):17–28. doi: 10.1016/j.jad.2013.01.004 [DOI] [PubMed] [Google Scholar]
  • 13.Dong M, Zeng L-N, Lu L, Li X-H, Ungvari GS, Ng CH, et al. Prevalence of suicide attempt in individuals with major depressive disorder: a meta-analysis of observational surveys. Psychol Med. 2019;49(10):1691–1704. doi: 10.1017/S0033291718002301 [DOI] [PubMed] [Google Scholar]
  • 14.Chiu C-C, Liu H-C, Li W-H, Tsai S-Y, Chen C-C, Kuo C-J. Incidence, risk and protective factors for suicide mortality among patients with major depressive disorder. Asian J Psychiatr. 2023;80:103399. doi: 10.1016/j.ajp.2022.103399 [DOI] [PubMed] [Google Scholar]
  • 15.Nanayakkara S, Misch D, Chang L, Henry D. Depression and exposure to suicide predict suicide attempt. Depress Anxiety. 2013;30(10):991–996. doi: 10.1002/da.22143 [DOI] [PubMed] [Google Scholar]
  • 16.Rihmer Z. Suicide risk in mood disorders. Curr Opin Psychiatry. 2007;20(1):17–22. doi: 10.1097/YCO.0b013e3280106868 [DOI] [PubMed] [Google Scholar]
  • 17.LeFevre ML, Force* UPST. Screening for suicide risk in adolescents, adults, and older adults in primary care: US Preventive Services Task Force recommendation statement. Ann Intern Med. 2014;160(10):719–726. [DOI] [PubMed] [Google Scholar]
  • 18.Suominen KH, Isometsä ET, Henriksson MM, Ostamo AI, Lönnqvist JK. Inadequate treatment for major depression both before and after attempted suicide. Am J Psychiatry. 1998;155(12):1778–1780. doi: 10.1176/ajp.155.12.1778 [DOI] [PubMed] [Google Scholar]
  • 19.Ganz D, Braquehais MD, Sher L. Secondary prevention of suicide. PLoS Med. 2010;7(6):e1000271. doi: 10.1371/journal.pmed.1000271 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Reeves RR, Ladner ME. Antidepressant‐induced suicidality: An update. CNS Neurosci Ther. 2010;16(4):227–234. doi: 10.1111/j.1755-5949.2010.00160.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Huang X, Harris LM, Funsch KM, Fox KR, Ribeiro JD. Efficacy of psychotropic medications on suicide and self-injury: a meta-analysis of randomized controlled trials. Transl Psychiatry. 2022;12(1):400. doi: 10.1038/s41398-022-02173-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.OECD (2023), "Suicide rates" (indicator), 10.1787/a82f3459-en (accessed on 20 December 2023). [DOI]
  • 23.Kyoung DS, Kim HS. Understanding and utilizing claim data from the Korean National Health Insurance Service (NHIS) and Health Insurance Review & Assessment (HIRA) database for research. Journal of Lipid and Atherosclerosis. 2022;11(2):103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Chun CB, Kim SY, Lee JY, Lee SY, Organization WH. Republic of Korea: health system review. 2009. [Google Scholar]
  • 25.Chae HR, Jeong JW, Han SH, Lee SY, Yoon HD. The Current status of attempting suicide using NEDIS registration data and follow-up management. Proceedings of the Korea Contents Association Conference; 2014: The Korea Contents Association.
  • 26.Doupnik SK, Rudd B, Schmutte T, Worsley D, Bowden CF, McCarthy E, et al. Association of suicide prevention interventions with subsequent suicide attempts, linkage to follow-up care, and depression symptoms for acute care settings: a systematic review and meta-analysis. JAMA Psychiatry. 2020;77(10):1021–1030. doi: 10.1001/jamapsychiatry.2020.1586 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Bolton JM, Pagura J, Enns MW, Grant B, Sareen J. A population-based longitudinal study of risk factors for suicide attempts in major depressive disorder. J Psychiatr Res. 2010;44(13):817–826. doi: 10.1016/j.jpsychires.2010.01.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Shin D, Kim NW, Kim MJ, Rhee SJ, Park CHK, Kim H, et al. Cost analysis of depression using the national insurance system in South Korea: a comparison of depression and treatment-resistant depression. BMC Health Serv Res. 2020;20(1):286. doi: 10.1186/s12913-020-05153-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Adekkanattu P, Olfson M, Susser LC, Patra B, Vekaria V, Coombes BJ, et al. Comorbidity and healthcare utilization in patients with treatment resistant depression: a large-scale retrospective cohort analysis using electronic health records. J Affect Disord. 2023;324:102–113. doi: 10.1016/j.jad.2022.12.044 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Bergfeld IO, Mantione M, Figee M, Schuurman PR, Lok A, Denys D. Treatment-resistant depression and suicidality. J Affect Disord. 2018;235:362–367. doi: 10.1016/j.jad.2018.04.016 [DOI] [PubMed] [Google Scholar]
  • 31.Russell JM, Hawkins K, Ozminkowski RJ, Orsini L, Crown WH, Kennedy S, et al. The cost consequences of treatment-resistant depression. J Clin Psychiatry. 2004;65(3):341–347. doi: 10.4088/jcp.v65n0309 [DOI] [PubMed] [Google Scholar]
  • 32.Kim MJ, Kim N, Shin D, Rhee S-J, Kim H, Yang B, et al. The epidemiology of antidepressant prescriptions in South Korea from the viewpoint of medical providers: a nationwide register-based study. J Korean Soc Biol Psychiatry. 2019:39–46. [Google Scholar]
  • 33.Mojtabai R, Olfson M. National patterns in antidepressant treatment by psychiatrists and general medical providers: results from the national comorbidity survey replication. J Clin Psychiatry. 2008;69(7):1064–1074. doi: 10.4088/jcp.v69n0704 [DOI] [PubMed] [Google Scholar]
  • 34.Chen S-Y, Hansen RA, Farley JF, Gaynes BN, Morrissey JP, Maciejewski ML. Follow-up visits by provider specialty for patients with major depressive disorder initiating antidepressant treatment. Psychiatr Serv. 2010;61(1):81–85. doi: 10.1176/ps.2010.61.1.81 [DOI] [PubMed] [Google Scholar]

Decision Letter 0

Xenia Gonda

27 Nov 2023

PONE-D-23-32199Risk factors of reattempt among suicide attempters in South Korea: A nationwide retrospective cohort studyPLOS ONE

Dear Dr. Ahn,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

As you will see, both reviewers found your work important providing novel insights yet they recommend a number of amendments to consider and provide helpful suggestions. Please respond to all of them. 

Please submit your revised manuscript by Jan 11 2024 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Xenia Gonda

Academic Editor

PLOS ONE

Journal requirements:

1. When submitting your revision, we need you to address these additional requirements.

Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at 

https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and 

https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf.

2. Please provide additional details regarding participant consent. In the ethics statement in the Methods and online submission information, please ensure that you have specified (1) whether consent was informed and (2) what type you obtained (for instance, written or verbal, and if verbal, how it was documented and witnessed). If your study included minors, state whether you obtained consent from parents or guardians. If the need for consent was waived by the ethics committee, please include this information.

If you are reporting a retrospective study of medical records or archived samples, please ensure that you have discussed whether all data were fully anonymized before you accessed them and/or whether the IRB or ethics committee waived the requirement for informed consent. If patients provided informed written consent to have data from their medical records used in research, please include this information.

3. Thank you for stating the following financial disclosure: 

 [This study was funded by Janssen Korea Ltd].  

Please state what role the funders took in the study.  If the funders had no role, please state: ""The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."" 

If this statement is not correct you must amend it as needed. 

Please include this amended Role of Funder statement in your cover letter; we will change the online submission form on your behalf.

4. Thank you for stating the following in the Competing Interests section: 

[I have read the journal's policy and the authors of this manuscript have the following competing interests: MJ Koh, Y Kim, and B Lee are employees of Janssen Korea Ltd. YM Ahn declared a research fund from Janssen Korea Ltd. and participated in speakers’ events in Janssen Korea Ltd, Lundbeck Korea Co., Ltd., and Korea Otsuka Pharmaceutical. The remaining authors have nothing to disclose.]. 

Please confirm that this does not alter your adherence to all PLOS ONE policies on sharing data and materials, by including the following statement: ""This does not alter our adherence to  PLOS ONE policies on sharing data and materials.” (as detailed online in our guide for authors http://journals.plos.org/plosone/s/competing-interests).  If there are restrictions on sharing of data and/or materials, please state these. Please note that we cannot proceed with consideration of your article until this information has been declared. 

Please include your updated Competing Interests statement in your cover letter; we will change the online submission form on your behalf.

5. In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available. For more information about our data policy, please see http://journals.plos.org/plosone/s/data-availability.

""Upon re-submitting your revised manuscript, please upload your study’s minimal underlying data set as either Supporting Information files or to a stable, public repository and include the relevant URLs, DOIs, or accession numbers within your revised cover letter. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. Any potentially identifying patient information must be fully anonymized.

Important: If there are ethical or legal restrictions to sharing your data publicly, please explain these restrictions in detail. Please see our guidelines for more information on what we consider unacceptable restrictions to publicly sharing data: http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. Note that it is not acceptable for the authors to be the sole named individuals responsible for ensuring data access.

We will update your Data Availability statement to reflect the information you provide in your cover letter.

Additional Editor Comments:

As you will see, both reviewers found your work important providing novel insights yet they recommend a number of amendments to consider and provide helpful suggestions. Please respond to all of them.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: No

Reviewer #2: Partly

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: No

Reviewer #2: No

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The goal of this study was to use a claims database in Korea to identify the demographic and clinical characteristics of individuals with a history of suicide attempts. By examining medical records for the 3 years before the index date and tracking data for 7 years afterward, it was found that 10% of the 17,026 suicide attempters made another attempt, and 29% were diagnosed with Major Depressive Disorder (MDD). Notably, the study suggests that the risk of a repeated attempt is lower when the treatment is prescribed by a psychiatrist in MDD patients.

I believe that this paper, which has implications for policy, is timely and should be published promptly.

However, one noteworthy aspect is that, as this paper is not exclusively intended for Korean readers, an additional explanation is essential in the introduction. This explanation should clarify why conducting the study in Korea is significant globally. To enhance its appeal, the paper could include information on Korea's higher suicide rate compared to other countries.

Thank you.

Reviewer #2: This is a study examining risks factors related to reattempt of suicide in a cohort of roughly 17,000 patients in Korea with a ‘suicide attempt’ recorded from health insurance claims, in 2014, as well as separately in a sub group of these patients with a history of depression. Retrospective data analysis has then followed them for a period of 6-7 years following the 2014 suicide attempt, to see if they reattempted, and examined risks related to demographic factors, medical history, psychotropic medication and timing.

This work does appear to add helpful insights to the existing literature. On the whole, the conclusions drawn do correlate with the data presented, although I have concerns that some of the hazard ratios given need better placing in the context of the relevant reference groups used, which has not always been done.

My main concern here relates to the diagnosis codes used. It may be that with additional explanation this is ok, but based on the current explanation given, I feel these cases likely overestimate actual suicide attempts. I also have a concern about the naming/diagnosis of the ‘major’ depression group. See below for more detailed comments.

Abstract

1. “The risk of reattempt was lower if psychiatrists rather than non-psychiatrists prescribed medications (HR 0.11, 95% CI: 0.093, 0.134, p-value <0.01).” I find this statement misleading as it suggests the risk is 89% lower when psychiatrists prescribed medication, compared to non-psychiatrists. This is not the case, as patients not prescribed medication are the reference group here. This needs rewording.

Introduction – this appears thorough and well written with a reasonable explanation of the existing evidence and context into which this work has been carried out.

Methods

2. The wording around how the database is outlined (page 5, paragraph 1) could do with updating to make clear exactly what this database is. I presume this is for claims to the National Health Insurance scheme, but it would be helpful to outline this.

3. For those not familiar with how the Korean national health insurance system works, I think it needs a brief outline of what health data/healthcare contacts this data will or won’t record. Is it any and all healthcare contacts, or are there some instances that would not be captured in this data?

4. By suicide attempt definition needing to include BOTH a diagnosis code and emergency care code, might this exclude suicide attempts that require a lower level of healthcare than “emergency care”? Again this needs outlining, or at least acknowledging in the limitations if this indeed is a danger.

5. I have significant concerns about the diagnosis codes used. This may be explained by having further detail of what the ‘emergency care codes’ mean, but at present a large number of the ICD-10 codes outlined, to my mind do not by themselves indicate a suicide attempt, as there is no intent attached to them. While including some with ‘undetermined’ intent (such as Y10-Y34) would be justified (with referencing), including a lot with no intent recorded at all, potentially means that a large number of non-suicide instances of harm may have been captured here. This includes ‘unspecified falls’, all the S codes included, T14.9 (unspecified injury), F11-F19, T30-T65. Depending on what the ‘emergency care codes’ refer to (see point 5), this may provide additional detail to indicate these injuries to be suicide attempts, but this definitely needs further explanation/justification.

6. To the point above, there is no mention of what the emergency care related codes mean – this definitely needs including (it may be a brief explanation in the text and more detailed information in a supplementary table). At present, the reader has no way of contextualising what these codes mean, which does not help with establishing whether the codes used do likely record actual suicide attempts or not.

7. I also have a concern that the codes used for MDD are actually capturing ANY depressive illness (including mild-moderate ones), rather than only MAJOR depressive illness. This either needs further explanation (for instance is it only F32.2/F32.3 and F33.2/F33.3?), or if all categories of depression are included, potentially renaming this category to ‘depressive disorder’, rather than MDD.

8. Why have patients >100 years old been excluded? This is likely to be very small numbers but again I feel needs explaining/justifying.

9. At the top of page 6 “the first suicide attempt was committed…”. I do not feel it is appropriate to use the word “committed” here, which implies illegality. It should be referred to as “made”.

10. Better to use “anonymised” datatset, rather than “de-identified”

11. I am confused about the statements relating to the ethical approval for this study and this certainly needs clarification. On page 5 it states, “The protocol of the study was exempted form review by Public Institutional Review Board Designated by Ministry of Health and Welfare”, but page 6 states “The institutional review board reviewed and approved the study protocol before the study was conducted.” Which of these statements is correct, as it feels that they cannot both be?

12. “The Charlson Comorbidity Index (CCI) score was used to assess baseline comorbidities using medical records from the past year of the index year.” I am a bit confused by this sentence. Does it mean to look for baseline comorbidities recorded in the year before the index year? Or perhaps something else?

Results

13. In the first line referring to numbers included from those screened, reference should be made to figure 1B to see an explanation of those excluded.

14. The footnotes to table 1 should include explanation of the terms “w/” and “w/o” (presumably with and without), or just include the full words in the table.

15. I am confused about the first grouping for psychotropic medication use. In table 1 this group is called “<2” antidepressants with (or without) antipsychotics. However in the text, it refers to “one” antidepressant with (or without) antipsychotics. “<2” would imply it also includes individuals taking no medication, as well as those taking one antidepressant, however the text suggests it is only those taking one. This needs clarifying and consistent naming within the table and text.

16. In table 3 & 4, the category “having taken any prior medications”, is presumably any prior psychotropic medications. I think this needs including in the table if it is.

17. On page 11, “In particular, the HR significantly rose with medications after the index date in the overall suicide attempters and MDD subgroup (HR=19.66, 95% CI: 15.216,25.391; HR= 19.62, 95% CI: 13.472,28.561, respectively)” seems a little misleading. What you are comparing in this hazard ratio is those who had no change in their previous psychotropic medication, or an increase in their previous psychotropic medication, compared to those who had a decrease in their psychotropic medication (the reference group) after the index date. The sentence above needs to include “compared to…” and more accurately outline what you are actually comparing here.

18. On page 11, the following wording is I think unhelpful: “More interestingly, the HR of the prescriptions for antidepressants by psychiatrists was two to three times lower than the HR of prescriptions by non-psychiatrists (HR 0.22, 95% CI: 0.183, 0.268, p-value <0.0001) as well as the MDD subgroup (HR 0.18, 95% CI: 0.132, 0.239, p-value<0.0001).” Only the HR of the prescriptions by non-psychiatrists is given in both cases, which makes it sound as though this is the HR for antidepressants by psychiatrists. I think both HR (given by psychiatrists or non-psychiatrists) should be given to aid the reader understanding what the difference in HRs is here. This also needs to state that it is “when compared to individuals prescribed no psychotropic medication”, as again what your reference group is here is very important.

Discussion

19. The discussion of lower risk for those prescribed antidepressants by a psychiatrist (at the bottom of page 15/top of page 16) again I feels needs further context adding as to the comparison group here, which is individuals prescribed NO antidepressant, not individuals prescribed an antidepressant by a non-psychiatrist.

20. The limitations section certainly needs to add discussion around the codes used and risks of misclassification, as per comments 4-7 on the methods.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2024 Apr 18;19(4):e0300054. doi: 10.1371/journal.pone.0300054.r002

Author response to Decision Letter 0


16 Jan 2024

<Response to Editor comments >

We revised and added statements based on the journal requirements:

1. We made revision to fit the PLOS ONE style requirement.

2. For ethics statement, we revised as the following:

The protocol of the study was exempted from review by Public Institutional Review Board Designated by Ministry of Health and Welfare (IRB number: P01-202010-21-030). All data were fully anonymized before accessed them.

3. For financial disclosure, we stated the role of the funder as well:

This study was funded by Janssen Korea Ltd. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

4. For the competing interest section, we added that we adhere to PLOS ONE policies.

MJ Koh, Y Kim, and B Lee are employees of Janssen Korea Ltd. YM Ahn declared a research fund from Janssen Korea Ltd. and participated in speakers’ events in Janssen Korea Ltd, Lundbeck Korea Co., Ltd., and Korea Otsuka Pharmaceutical. The remaining authors have nothing to disclose. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

5. In, Data Availability statement, we added more information to apply and gain the data from HIRA database:

Data can be obtained via website of HIRA(HIRA bigdata open portal) by filling out the application. The data is provided in a DVD (text file) format and a fee for the data is subject to be charged. More detailed information on how to access the database is in the following website:

https://opendata.hira.or.kr/op/opc/selectOpenDataAplInfoView.do

<Response to reveiwers>

We express our deepest gratitude and appreciation to the editor and the reviewers for providing their valuable insights and helpful comments. We have carefully considered their comments and substantially revised our paper. Detailed responses to the reviewers’ comments are provided below. Any revisions and additions to our manuscript are indicated in red font.

Reviewer #1: The goal of this study was to use a claims database in Korea to identify the demographic and clinical characteristics of individuals with a history of suicide attempts. By examining medical records for the 3 years before the index date and tracking data for 7 years afterward, it was found that 10% of the 17,026 suicide attempters made another attempt, and 29% were diagnosed with Major Depressive Disorder (MDD). Notably, the study suggests that the risk of a repeated attempt is lower when the treatment is prescribed by a psychiatrist in MDD patients.

I believe that this paper, which has implications for policy, is timely and should be published promptly.

However, one noteworthy aspect is that, as this paper is not exclusively intended for Korean readers, an additional explanation is essential in the introduction. This explanation should clarify why conducting the study in Korea is significant globally. To enhance its appeal, the paper could include information on Korea's higher suicide rate compared to other countries.

Answer> Thank you for your comment. We added the following to the Introduction to include information on Korea's higher suicide rate.

In this study, we aimed to investigate multiple variables including sociodemographic factors and medication usage that influence reattempts among patients who have previously attempted suicide using South Korea’s national claim’s data. South Korea is known for its high suicide rate, recorded at 24 to 25 deaths per 100 thousand population [22]. Among suicide attempters, patients with depressive disorder were analyzed separately as a subgroup considering their distinct clinical characteristics. By analyzing comprehensive factors affecting suicide reattempts, our objective is to can contribute to developing optimal strategies for preventing subsequent suicide attempts.

Reviewer #2: This is a study examining risks factors related to reattempt of suicide in a cohort of roughly 17,000 patients in Korea with a ‘suicide attempt’ recorded from health insurance claims, in 2014, as well as separately in a sub group of these patients with a history of depression. Retrospective data analysis has then followed them for a period of 6-7 years following the 2014 suicide attempt, to see if they reattempted, and examined risks related to demographic factors, medical history, psychotropic medication and timing.

This work does appear to add helpful insights to the existing literature. On the whole, the conclusions drawn do correlate with the data presented, although I have concerns that some of the hazard ratios given need better placing in the context of the relevant reference groups used, which has not always been done.

My main concern here relates to the diagnosis codes used. It may be that with additional explanation this is ok, but based on the current explanation given, I feel these cases likely overestimate actual suicide attempts. I also have a concern about the naming/diagnosis of the ‘major’ depression group. See below for more detailed comments.

Abstract

1. “The risk of reattempt was lower if psychiatrists rather than non-psychiatrists prescribed medications (HR 0.11, 95% CI: 0.093, 0.134, p-value <0.01).” I find this statement misleading as it suggests the risk is 89% lower when psychiatrists prescribed medication, compared to non-psychiatrists. This is not the case, as patients not prescribed medication are the reference group here. This needs rewording.

Answer> Thank you for your comment. We revised the sentence as following.

The risk of reattempt decreased in individuals receiving antidepressant prescriptions compared to those unmedicated, showing a reduction of 78% when prescribed by non-psychiatrists and 89% when prescribed by psychiatrists.

Methods

2. The wording around how the database is outlined (page 5, paragraph 1) could do with updating to make clear exactly what this database is. I presume this is for claims to the National Health Insurance scheme, but it would be helpful to outline this.

Answer> Thank you for the comment. I revised the paragraph considering the comment #3:

This retrospective cohort study substantially identified the events of study interest (i.e. suicide attempt) using the South Korea’s Health Insurance Review and Assessment Service (HIRA) research data derived from claims within the Korean National Health Insurance. The National Health Insurance system in South Korea provides coverage to nearly 97% of the country's population. This extensive coverage enables comprehensive documentation of prescriptions and medical procedures carried out by healthcare institutions for insured individuals, resulting in a comprehensive record of reimbursable medical activities at a national scale. Within psychiatry, most psychotropic prescriptions and consultation fees are typically covered under appropriate diagnoses. For more detailed information about the database, additional references are available for further elucidation [23,24].

3. For those not familiar with how the Korean national health insurance system works, I think it needs a brief outline of what health data/healthcare contacts this data will or won’t record. Is it any and all healthcare contacts, or are there some instances that would not be captured in this data?

Answer> We added some details on Korean healthcare system and what it records in the field of psychiatry. In psychiatry, most psychotropic prescriptions and consultation fees are typically covered under suitable diagnoses. Certain patients may choose to forgo insurance coverage to prevent the recording of their prescription data due to societal stigma. However, opting out of insurance coverage significantly increases healthcare costs, rendering it less feasible for a substantial number of individuals to consider this alternative. The precise extent of these increased expenses remains uncertain and cannot be reliably anticipated due to the lack of recorded information on such cases. The revised paragraph is same as comment #2.

This retrospective cohort study substantially identified the events of study interest (i.e. suicide attempt) using the South Korea’s Health Insurance Review and Assessment Service (HIRA) research data derived from claims within the Korean National Health Insurance. The National Health Insurance system in South Korea provides coverage to nearly 97% of the country's population. This extensive coverage enables comprehensive documentation of prescriptions and medical procedures carried out by healthcare institutions for insured individuals, resulting in a comprehensive record of reimbursable medical activities at a national scale. Within psychiatry, most psychotropic prescriptions and consultation fees are typically covered under appropriate diagnoses. For more detailed information about the database, additional references are available for further elucidation [23,24].

4. By suicide attempt definition needing to include BOTH a diagnosis code and emergency care code, might this exclude suicide attempts that require a lower level of healthcare than “emergency care”? Again this needs outlining, or at least acknowledging in the limitations if this indeed is a danger.

Answer> Thank you for the comment. We included emergency care code to set the severity threshold for medically serious suicide attempt. Intention and lethality of suicide are both important aspects of suicide attempt[1]. While some studies have indicated an association between these factors[2, 3], others argues that they are two distinct construct[4]. With only claim data we are not able to assess the intention. Only the construct of lethality was included to define the cohort. I revised as follows;

A suicide attempt was defined when an individual presented both suicide-related diagnosis codes and emergency care-related codes, primarily to capture medically severe attempts meeting a minimum threshold of lethality.

5. I have significant concerns about the diagnosis codes used. This may be explained by having further detail of what the ‘emergency care codes’ mean, but at present a large number of the ICD-10 codes outlined, to my mind do not by themselves indicate a suicide attempt, as there is no intent attached to them. While including some with ‘undetermined’ intent (such as Y10-Y34) would be justified (with referencing), including a lot with no intent recorded at all, potentially means that a large number of non-suicide instances of harm may have been captured here. This includes ‘unspecified falls’, all the S codes included, T14.9 (unspecified injury), F11-F19, T30-T65. Depending on what the ‘emergency care codes’ refer to (see point 5), this may provide additional detail to indicate these injuries to be suicide attempts, but this definitely needs further explanation/justification.

Answer> Appreciating your insights on diagnostic codes, it's evident that our study's description of the selection process for diagnostic codes defining the study population was insufficient. Solely employing intentional codes like X codes resulted in a significant underestimation of suicide attempts compared to data from the NEDIS (National Emergency Department Information System) database in South Korea. NEDIS, established in 2003, collects real-time medical information independently from claim data[5]. In order to align our cohort with the 2014 NEDIS database, we meticulously assembled all unintentional injuries and handpicked specific categories to ensure their numbers and proportions corresponded to those recorded in the NEDIS dataset. For instance, the aggregate of all intentional and unintentional hangings closely resembled the reported number of hanging suicide attempts in NEDIS 2014. However, in cases like drug intoxication, unintentional codes outnumbered NEDIS's suicide attempts’ drug intoxication category. Thus, we included only those with drug intoxication who received psychiatric service consultation during their emergency room stay (indicated by simultaneous injury and NN100 code). We further detailed the rationale behind including undetermined intent codes and provided comparative results with NEDIS for comprehensive clarity in supplementary tables 1~3.

Suicide-related diagnosis codes not only included R45.8 (other symptoms and signs involving emotional state), X60–X84 (intentional self-harm), Y87 (sequelae of intentional self-harm, and assault and events of undetermined intent), Z64.2 and Z64.3 (problems related to seeking and accepting physical/behavioral, nutritional, and chemical/psychological interventions known to be hazardous and harmful), Z91.5 (personal history of suicide attempt), but also included selected unintentional injuries outlined in Supplementary Table 1. This inclusion was based on a comparative analysis of the frequency and methods of suicide attempts with data from the 2014 National Emergency Department Information System (NEDIS). NEDIS independently assesses the intention of injuries, which are not collected in the claim data. Specific unintentional codes were integrated into the cohort entirely, while some were included when accompanied by concurrent psychiatric consultation services during the emergency room visit. The final comparison of the study cohort and 2014 NEDIS suicide attempt data is depicted in Supplementary table 3.

6. To the point above, there is no mention of what the emergency care related codes mean – this definitely needs including (it may be a brief explanation in the text and more detailed information in a supplementary table). At present, the reader has no way of contextualising what these codes mean, which does not help with establishing whether the codes used do likely record actual suicide attempts or not.

Answer> Under South Korea's fee-for-service framework, an administrative charge is imposed on all emergency room visits. This fee acts as a validation point for confirming the incidence of an emergency room visit. I removed the list of codes on manuscript and added further explanation of the each emergency code related to the South Korea’s healthcare system on supplementary table2.

The emergency care-related behavior codes have been selected to delineate an individual's visit to the emergency room. A detailed explanation of each code can be found in Supplementary Table 2. The NN100 code is exclusively applied when a psychiatric consultation service has been conducted within the emergency room setting.

7. I also have a concern that the codes used for MDD are actually capturing ANY depressive illness (including mild-moderate ones), rather than only MAJOR depressive illness. This either needs further explanation (for instance is it only F32.2/F32.3 and F33.2/F33.3?), or if all categories of depression are included, potentially renaming this category to ‘depressive disorder’, rather than MDD.

Answer> I agree to your feedback and have made the revision throughout the whole manuscript, consistently changing the “MDD subgroup” as the "depressive disorder subgroup."

8. Why have patients >100 years old been excluded? This is likely to be very small numbers but again I feel needs explaining/justifying.

Answer> We opted to exclude individuals aged over 100 from our analysis due to the increased complexity arising from undetermined intent codes within this demographic even though the numerical representation within this age bracket was deemed to be negligible in our study.

Patients aged 18 to 100 who had attempted suicide between January 1 and December 31, 2014, were screened for inclusion in this study. To ensure the integrity of our analysis regarding suicide-related codes, specifically concerning unintentional injuries within this demographic, individuals aged over 100 were excluded from the study cohort.

9. At the top of page 6 “the first suicide attempt was committed…”. I do not feel it is appropriate to use the word “committed” here, which implies illegality. It should be referred to as “made”.

Answer>Thank you for the comment. I changed “commited” as “made”

The index date was identified as the date when the first suicide attempt was made in 2014,

10. Better to use “anonymised” datatset, rather than “de-identified”

Answer>Thank you for the comment. I changed “de-identifeid” as “anonymized”

As a result, we obtained an anonymized data set of 10 years starting from January 1, 2011, to August 31, 2020.

11. I am confused about the statements relating to the ethical approval for this study and this certainly needs clarification. On page 5 it states, “The protocol of the study was exempted form review by Public Institutional Review Board Designated by Ministry of Health and Welfare”, but page 6 states “The institutional review board reviewed and approved the study protocol before the study was conducted.” Which of these statements is correct, as it feels that they cannot both be?

Answer>Thank you for the comment. The first one is the right one and I erased the latter. This study was exempted from review by IRB since it is an anonymized public database. The sentence has been relocated to the end of the Method section for readability.

The protocol of the study was exempted form review by Public Institutional Review Board Designated by Ministry of Health and Welfare (IRB number: P01-202010-21-030). All data were fully anonymized before accessed them.

12. “The Charlson Comorbidity Index (CCI) score was used to assess baseline comorbidities using medical records from the past year of the index year.” I am a bit confused by this sentence. Does it mean to look for baseline comorbidities recorded in the year before the index year? Or perhaps something else?

Answer> You have understood correctly. We have revised the manuscript to enhance clarity and convey the intended meaning more effectively.

The evaluation of baseline comorbidities involved calculating the Charlson Comorbidity Index (CCI) score, which was derived from claims records spanning the year preceding the index year.

Results

13. In the first line referring to numbers included from those screened, reference should be made to figure 1B to see an explanation of those excluded.

Answer> Thank you for the comment. We revised the manuscript to include how people were excluded from the study population.

Of 20,614 identified suicide attempters, 17,026 were included in the analysis after excluding individuals with insufficient claim data before or after the index date, and those outside the specified age range of 18-100.(Fig 1B).

14. The footnotes to table 1 should include explanation of the terms “w/” and “w/o” (presumably with and without), or just include the full words in the table.

Answer> Thank you for the comment. We revised all tables contain “w/” and “w/o” to full words.

Psychotropic Medications

Having taken prior medications (%) 9712 (57.0) 1464 (79.0) 8248 (54.4) <0.0001

Prior medication <2ADs without antipsychotics (%) 10388 (61.0) 671 (36.2) 9717 (64.0) <0.0001

Prior medication <2ADs with antipsychotics (%) 1431 (8.4) 212 (11.4) 1219 (8.0)

Prior medication >=2ADs without antipsychotics (%) 2829 (16.6) 411 (22.2) 2418 (15.9)

Prior medication >=2ADs with antipsychotics (%) 2378 (14.0) 559 (30.2) 1819 (12.0)

More than 3 medications (%) 5720 (33.6) 781 (42.1) 4939 (32.6) <0.0001

Use of atypical antipsychotics (%) 6132 (36.0) 862 (46.5) 5270 (34.7) <0.0001

15. I am confused about the first grouping for psychotropic medication use. In table 1 this group is called “<2” antidepressants with (or without) antipsychotics. However in the text, it refers to “one” antidepressant with (or without) antipsychotics. “<2” would imply it also includes individuals taking no medication, as well as those taking one antidepressant, however the text suggests it is only those taking one. This needs clarifying and consistent naming within the table and text.

Answer> Sorry for the confusion. I revised the manuscript as following;

(i.e. less than two antidepressant without antipsychotics, less than two antidepressant with antipsychotics, two or more antidepressants without antipsychotics, and two or more antidepressants with antipsychotics)

16. In table 3 & 4, the category “having taken any prior medications”, is presumably any prior psychotropic medications. I think this needs including in the table if it is.

Answer> Thank you for your feedback. I have revised table 3&4 to ensure clarity in their meaning.

prior psychotropic medications No Ref. - - <0.0001

Yes 3.2 2.561 3.996

17. On page 11, “In particular, the HR significantly rose with medications after the index date in the overall suicide attempters and MDD subgroup (HR=19.66, 95% CI: 15.216,25.391; HR= 19.62, 95% CI: 13.472,28.561, respectively)” seems a little misleading. What you are comparing in this hazard ratio is those who had no change in their previous psychotropic medication, or an increase in their previous psychotropic medication, compared to those who had a decrease in their psychotropic medication (the reference group) after the index date. The sentence above needs to include “compared to…” and more accurately outline what you are actually comparing here.

Answer> Thank you for the comment. I revised the part to clarify the comparison group.

In particular, the HR significantly rose with medication increase group after the index date when compared to medication decrease group in both the overall suicide attempters and depressive disorder subgroup (HR=19.66, 95% CI: 15.216,25.391; HR= 19.62, 95% CI: 13.472,28.561, respectively).

18. On page 11, the following wording is I think unhelpful: “More interestingly, the HR of the prescriptions for antidepressants by psychiatrists was two to three times lower than the HR of prescriptions by non-psychiatrists (HR 0.22, 95% CI: 0.183, 0.268, p-value <0.0001) as well as the MDD subgroup (HR 0.18, 95% CI: 0.132, 0.239, p-value<0.0001).” Only the HR of the prescriptions by non-psychiatrists is given in both cases, which makes it sound as though this is the HR for antidepressants by psychiatrists. I think both HR (given by psychiatrists or non-psychiatrists) should be given to aid the reader understanding what the difference in HRs is here. This also needs to state that it is “when compared to individuals prescribed no psychotropic medication”, as again what your reference group is here is very important.

Answer> Thank you for the comment. I revised the part to clarify the comparison group.

Notably, the hazard ratio (HR) for individuals prescribed antidepressants by non-psychiatrists and psychiatrists demonstrated a significant reduction in the risk of suicide reattempt by 78% and 89%, respectively, compared to individuals who did not receive medication (HR 0.22, 95% CI: 0.183, 0.236; HR 0.11, 95% CI: 0.093, 0.134). Within the subgroup with depressive disorder, the reduction in the risk of suicide reattempt exhibited a similar trend, as reflected by the hazard ratios (HRs) for prescriptions from both non-psychiatrist and psychiatrist sources at 0.18 and 0.06, respectively when compared with unmedicated group (HR 0.18, 95% CI: 0.132, 0.239; HR 0.06, 95% CI: 0.047, 0.081).

Discussion

19. The discussion of lower risk for those prescribed antidepressants by a psychiatrist (at the bottom of page 15/top of page 16) again I feels needs further context adding as to the comparison group here, which is individuals prescribed NO antidepressant, not individuals prescribed an antidepressant by a non-psychiatrist.

Answer> Thank you for the comment. I added the comparison group to clarify the meaning.

The current study suggests that prescriptions by psychiatrists are associated with lower risks of reattempts in overall attempters (HR=0.11, 95% CI=0.093,0.134), and even lower risks in suicidal patients with depressive disorder (HR=0.06, 95% CI=0.017,0.081) when compared with people who did not take medications after suicide attempt.

20. The limitations section certainly needs to add discussion around the codes used and risks of misclassification, as per comments 4-7 on the methods.

Answer> Thank you for the comment. I added those in the limitation part.

As it relied on claim-based data, the study population was selected solely based on diagnostic codes, and not on their clinical evaluation. Although efforts were made to validate the diagnosis of suicide attempts by cross-referencing additional independent national data sources, it is essential to acknowledge that the categorization of the suicide attempt group remains operational, potentially resulting in some degree of misclassification.

1. Beck AT, Beck R, Kovacs M. Classification of suicidal behaviors: I. Quantifying intent and medical lethality. The American journal of psychiatry. 1975;132(3):285-7.

2. Kumar CS, Mohan R, Ranjith G, Chandrasekaran R. Characteristics of high intent suicide attempters admitted to a general hospital. Journal of affective disorders. 2006;91(1):77-81.

3. Horesh N, Levi Y, Apter A. Medically serious versus non-serious suicide attempts: Relationships of lethality and intent to clinical and interpersonal characteristics. Journal of Affective Disorders. 2012;136(3):286-93.

4. Haw C, Hawton K, Houston K, Townsend E. Correlates of relative lethality and suicidal intent among deliberate self-harm patients. Suicide and Life-Threatening Behavior. 2003;33(4):353-64.

5. Chae H-R, Jeong J-W, Han S-H, Lee S-Y, Yoon H-D, editors. The Current status of attempting suicide using NEDIS registration data and follow-up management. Proceedings of the Korea Contents Association Conference; 2014: The Korea Contents Association.

Attachment

Submitted filename: MDSI_Response to reviewers.docx

pone.0300054.s005.docx (33.4KB, docx)

Decision Letter 1

Xenia Gonda

21 Feb 2024

Risk factors of reattempt among suicide attempters in South Korea: A nationwide retrospective cohort study

PONE-D-23-32199R1

Dear Dr. Ahn,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Xenia Gonda

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Xenia Gonda

28 Mar 2024

PONE-D-23-32199R1

PLOS ONE

Dear Dr. Ahn,

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team.

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

* All references, tables, and figures are properly cited

* All relevant supporting information is included in the manuscript submission,

* There are no issues that prevent the paper from being properly typeset

If revisions are needed, the production department will contact you directly to resolve them. If no revisions are needed, you will receive an email when the publication date has been set. At this time, we do not offer pre-publication proofs to authors during production of the accepted work. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few weeks to review your paper and let you know the next and final steps.

Lastly, if your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

If we can help with anything else, please email us at customercare@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Xenia Gonda

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Checklist. Human participants research checklist.

    (DOCX)

    pone.0300054.s001.docx (54.4KB, docx)
    S1 Table. Suicide-related diagnoses and categorization.

    (DOCX)

    pone.0300054.s002.docx (18.3KB, docx)
    S2 Table. Emergency care-related codes.

    (DOCX)

    pone.0300054.s003.docx (15.2KB, docx)
    S3 Table. Comparison of the cohort with 2014 NEDIS data.

    (DOCX)

    pone.0300054.s004.docx (16.2KB, docx)
    Attachment

    Submitted filename: MDSI_Response to reviewers.docx

    pone.0300054.s005.docx (33.4KB, docx)

    Data Availability Statement

    Data cannot be shared publicly because it is a third party data. Data can be obtained via website of HIRA(HIRA bigdata open portal) by filling out the application. The data is provided in a DVD (text file) format and a fee for the data is subject to be charged. More detailed information on how to access the database is in the following website: https://opendata.hira.or.kr/op/opc/selectOpenDataAplInfoView.do. Other researcheres would have the same access to these data as the authors, and the authors did not possess any special access privileges not available to others.


    Articles from PLOS ONE are provided here courtesy of PLOS

    RESOURCES