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Introduction: This study describes characteristics of nonfatal self-inflicted injuries and incidence of repeat self-inflicted injuries among a large convenience sample of youth (aged 10-24 years) with Medicaid or commercial insurance. Methods: In 2018, Truven Health MarketScan medical claims data were used to identify youth with a self-inflicted injury in 2013 (or index self-inflicted injury) diagnosed in any inpatient or outpatient setting. Patients with 2 years of healthcare claims data (1 year before/after index self-inflicted injury) were assessed. Patient and injury characteristics, repeat self-inflicted injuries ≤1 year, time to repeat self-inflicted injury, and number of emergency department and urgent care facility visits per patient are reported. A regression model assessed factors associated with repeat self-inflicted injuries. Results: Among 4,681 self-inflicted injury patients, 70% were female. More than 71% of patients were treated for comorbidities (50% for depression) ≤1 year preceding the index self-inflicted injury. Poisoning was the most common index self-inflicted injury mechanism (60% of patients). Approximately 52% of patients had one or more emergency department visit and 1% had one or more urgent care facility visit, respectively, during the 2-year observation period. More than 11% of patients repeated self-inflicted injury ≤1 year (and 3% ≤7 days). Repeat self-inflicted injury was associated with younger patient age, being female, a self-inflicted injury event preceding the index self-inflicted injury, index self-inflicted injury treatment setting, and patient comorbidities. Conclusions: Approximately one in ten youth repeated self-inflicted injury within 1 year and nearly half of youth with clinically treated self-inflicted injuries never received care in hospitals or emergency departments. Physicians and families should be aware of risk factors for repeat self-inflicted injury, including mental health comorbidities. Multilevel strategies are needed to prevent youth self-inflicted injuries.
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Repeat Self-Inflicted Injury Among U.S. Youth in a Large Medical
Claims Database
Cora Peterson, PhD, Likang Xu, MD, Ruth W. Leemis, PhD, and Deborah M. Stone, ScD
National Center for Injury Prevention and Control, Centers for Disease Control and Prevention,
Atlanta, Georgia
Abstract
Introduction: This study describes characteristics of nonfatal self-inflicted injuries and incidence
of repeat self-inflicted injuries among a large convenience sample of youth (aged 10−24 years)
with Medicaid or commercial insurance.
Methods: In 2018, Truven Health MarketScan medical claims data were used to identify youth
with a self-inflicted injury in 2013 (or index self-inflicted injury) diagnosed in any inpatient or
outpatient setting. Patients with 2 years of healthcare claims data (1 year before/after index self-
inflicted injury) were assessed. Patient and injury characteristics, repeat self-inflicted injuries ≤1
year, time to repeat self-inflicted injury, and number of emergency department and urgent care
facility visits per patient are reported. A regression model assessed factors associated with repeat
self-inflicted injuries.
Results: Among 4,681 self-inflicted injury patients, 70% were female. More than 71% of
patients were treated for comorbidities (50% for depression) ≤1 year preceding the index self-
inflicted injury. Poisoning was the most common index self-inflicted injury mechanism (60% of
patients). Approximately 52% of patients had one or more emergency department visit and 1% had
one or more urgent care facility visit, respectively, during the 2-year observation period. More than
11% of patients repeated self-inflicted injury ≤1 year (and 3% ≤7 days). Repeat self-inflicted
injury was associated with younger patient age, being female, a self-inflicted injury event
preceding the index self-inflicted injury, index self-inflicted injury treatment setting, and patient
comorbidities.
Conclusions: Approximately one in ten youth repeated self-inflicted injury within 1 year and
nearly half of youth with clinically treated self-inflicted injuries never received care in hospitals or
emergency departments. Physicians and families should be aware of risk factors for repeat self-
inflicted injury, including mental health comorbidities. Multilevel strategies are needed to prevent
youth self-inflicted injuries.
Address correspondence to: Cora Peterson, PhD, Mailstop F-62, 4770 Buford Hwy., CDC National Center for Injury Prevention and
Control, Atlanta GA 30341. vsm2@cdc.gov.
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers
for Disease Control and Prevention.
No financial disclosures were reported by the authors of this paper. No conflicts of interest were reported by the authors of this paper.
SUPPLEMENTAL MATERIAL
Supplemental materials associated with this article can be found in the online version at https://doi.org/10.1016/j.amepre.2018.09.009.
HHS Public Access
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Am J Prev Med
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INTRODUCTION
The U.S. rate of hospital emergency department (ED) visits for nonfatal self-inflicted
injuries (SII; inclusive of suicidal and nonsuicidal intent) among youth aged 10−24 years
increased substantially during 2009−2015.1 Among females aged 10−14 years, ED visits
nearly tripled (from 109.8 to 317.7 per 100,000 people).1 Data from the United Kingdom
and Canada also indicate substantial increases in hospital-based (ED or inpatient) SII
treatment among females aged less than 18 years over the same period.2,3 Only one in ten
youth with SII receive hospital-based treatment, suggesting just a small portion of affected
youth are identified in the hospital data used to document these recent increases.4,5 Large
U.S. school-based convenience sample surveys have estimated the lifetime prevalence of
youth nonfatal self-injurious behavior is 8% of third graders,6 4%6 to 8% (past-year
prevalence)7 of sixth to eighth graders, 13%6 to 16%8 of ninth to twelfth graders, and 15%9
to 17%10 of college students.
A majority of youth who self-injure do so multiple times,10–13 and people who self-injure
are at substantially greater risk of suicide.9,14–16 Most longitudinal research on healthcare
contacts—including repeat injury—among youth with SII comes from non−U.S. ED
registries. A recent systematic review of studies worldwide over the preceding 30 years
reported the average 1-year incidence of repeat SII was 16% (
n
=78 studies) and fatal self-
harm was 2% (
n
=40 studies) among patients of all ages initially treated for SII in hospital
settings.17 There were just three U.S. studies in that systematic review; the most recent used
data from 1980, and none focused on youth.18–20
Large U.S. medical claims databases offer an opportunity to investigate healthcare contacts
over time among youth with SII in all clinical settings (i.e., not limited to hospitals). The aim
of this study is to describe characteristics of SII and repeat SII incidence within 1 year
among a large nationwide convenience sample of U.S. youth with Medicaid or commercial
insurance.
METHODS
Study Sample
This study used publicly available data and no human subjects. In 2018, authors used Truven
Health MarketScan data for patients aged 10−24 years with commercial or Medicaid
insurance and identified the first date of an inpatient or outpatient medical claim with an SII
diagnosis in 2013 (or index SII) for this analysis. MarketScan includes paid insurance claims
and encounters from participating large employers, MCOs, hospitals, electronic medical
record providers, and some Medicare and Medicaid contributors.21 MarketScan is not
representative of the U.S. population. In 2013, 62% of the U.S. population had private health
insurance (e.g., employer), 18% had Medicaid, and 17% were uninsured.22 MarketScan does
not report mortality; therefore, it was not possible to assess fatal self-harm.
Measures
SII was defined by ICD-9-CM external cause codes (E-codes) E950–9 (i.e., suicide and SII;
or SII diagnosis). Transition to ICD-10-CM diagnosis coding took place in October 2015, or
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the end of the period (2009−2015) during which a substantial increase in ED visits for youth
SII has been documented.1 Coding consistency for this study’s full observation period
guided authors’ decision to use year 2013 index injury data and 2014 as a follow-up period.
E-codes are not explicitly used for payment, and not all injury medical claims include E-
codes; however, E-codes are the only way to identify injury intent (i.e., self-harm) using
ICD-9-CM diagnoses.
Investigation of subsequent SII required that authors designate an index event to begin
observation. Given the nature of administrative medical data, it was not possible to ensure
that this was patients’ first-ever SII event. To ensure that each patient’s first 2013 SII record
(i.e., index SII) was a new event (and not continued treatment from a previous SII event),
authors excluded patients who were existing inpatients on January 1, 2013, and patients with
an index SII date before January 30, 2013, who were treated for the same injury mechanism
(e.g., self-inflicted poisoning) in a non-ED or urgent care facility (UCF) setting within the
previous 30 days. Patients with 12 months of continuous insurance enrollment before and
after the index SII date (i.e., spanning different parts of 2012−2014 per patient, depending
on the 2013 index SII date) comprised the analysis sample (Figure 1).
Patient sex, age at index SII, comorbidities (e.g., depression), insurance payer type
(Medicaid or commercial), all clinical settings (i.e., clinician office, ambulance, UCF, ED,
inpatient) where the patient was treated on the day the index SII was diagnosed (or initial
treatment), index SII mechanism, preceding SII within 1 year before the index SII, and
repeat SII within 1 year after index SII were assessed using source data. Comorbidities were
identified by ICD-9-CM diagnosis codes (as defined in the Agency for Healthcare Research
and Quality’s Elixhauser Comorbidity Index, Version 3.7) in each patient’s inpatient and
outpatient medical claims within 1 year preceding and including the patient’s index SII date.
Clinical treatment settings were identified by service place (e.g., UCF) and service category
(e.g., ED-related) information reported in the data source. Some patients were treated in
multiple clinical settings on the index SII date (e.g., ambulance and ED). Inpatient treatment
on the day following the index SII diagnosis date was assessed as initial index SII treatment.
Injury mechanism was defined by standard E-code classifications.23 E-codes with specified
mechanism (e.g., E955.0 “Suicide and self-inflicted injury by handgun”) were prioritized
over unspecified mechanism (e.g., E958.9, “Suicide and self-inflicted injury by unspecified
means”) if a patient had multiple different SII diagnosis codes on the index SII date.
Medical claims do not typically include explicit distinction between initial events and
follow-up care. This study’s analysis of index and subsequent SII therefore required
definitions using administrative codes (e.g., diagnosis) to identify repeat SII (i.e., a new SII
event). Repeat SII within 1 year of the index SII was defined as a medical claim for:
1. UCF or ED services with any SII diagnosis on any date after the index SII date;
or
2. treatment in any other clinical setting (i.e., neither an ED nor UCF) for the same
SII mechanism as the index SII (i.e., a claim including any of the same E950–9
codes) occurring ≥30 days after the index SII; or
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3. treatment in any clinical setting on any date after the index SII date for a
different SII mechanism than the index SII (i.e., a claim with none of the same
E950–9 codes).
Authors used the same method in reverse to identify patients with an SII within 1 year
preceding the index SII.
Statistical Analysis
Authors used SAS, version 9.4 for analysis. Descriptive data are presented on patient and
injury characteristics by age group (10−14 years, 15−19 years, 20−24 years), including
number and proportion of patients by sex, type of comorbidities (those affecting >5% of
total patients are reported individually), insurance payer type, index SII initial clinical
treatment setting, index SII mechanism, and preceding SII and repeat SII (i.e., relative to the
index SII). Chi-square tests compared the proportion of patients in each of the two older age
groups to the youngest age group for each of these factors. A logistic regression model
assessed whether these factors were associated with repeat SII within 1 year. Authors
separately report the number and proportion of patients with first repeat SII by index SII
mechanism. For statistical reliability, SII mechanism sample sizes of <21 patients were not
assessed for repeat SII incidence. A Kaplan−Meier plot demonstrates time from index SII
date to first repeat SII. Authors also report the number of SII ED and UCF visits (defined by
a medical claim for any SII diagnosis in an ED or UCF) during the entire observation period
per patient (or 2 years; within 1 year before/after the index SII). The ED/UCF analysis
aimed to provide insight into the proportion of youth SII patients in this sample that had
clinical treatment entirely outside of ED/UCF settings; this information can contextualize
data on the prevalence of U.S. youth SII ED visits.1
RESULTS
Among 4,681 youth SII patients (2,818 with commercial insurance and 1,863 with
Medicaid; Figure 1), 70% were female (Table 1). More than 71% of patients were diagnosed
with comorbidities within 1 year preceding the index SII date (Table 1). The most prevalent
diagnosed comorbidities among all patients were depression (49% of patients), psychosis
(24%), drug abuse (19%), chronic pulmonary disease (16%; the Elixhauser comorbidity
classification includes asthma in this category), neurologic disorders (12%), and alcohol
abuse (9%; Table 1). Patients aged 20−24 years had the highest prevalence of any
comorbidity (79%; Table 1). That higher prevalence was due to all afore-mentioned
comorbidity types except chronic pulmonary disease (similar prevalence among all age
groups; Table 1).
Nearly 10% of patients were treated in a clinician office, 16% in an ambulance, 1% in a
UCF, 50% in an ED, and 48% as inpatients on the day that their index SII was diagnosed
(Table 1). Poisoning was the most prevalent single index SII mechanism among all age
groups (60% of patients), followed by cut/pierce injuries (24%; Table 1). Three percent of
total patients had a preceding SII within 1 year before the index SII (Table 1). More than
60% of patients had commercial insurance, reflecting the higher prevalence of commercial
insurance patients in the data source (Table 1).
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Compared with the older two age groups, a significantly lower proportion of patients in the
group aged 10−14 years had commercial insurance (53%), diagnosed comorbidities (61%),
initial index SII treatment in an ambulance (13%) or as inpatients (45%; significantly
different from age 20−24 years patients), and poisoning index SII mechanism (50%; Table
1). A significantly higher proportion of patients aged 10−14 years had index SII initial
clinical treatment in clinician offices (14%), and cut/pierce (29%), suffocation (3%), or
unspecified (8%; significantly different from age 15−19 years) index SII mechanism (Table
1).
More than 11% (
n
=527/4,681) of patients repeated SII within 1 year of the index SII (Table
1). Lower age (OR=0.96, 95% CI=0.93, 0.99), being female (OR=1.61, 95% CI=1.28, 2.03),
prior diagnosis of depression (OR=1.58, 95% CI=1.29, 1.92), psychoses (OR=1.33, 95%
CI=1.06, 1.65), chronic pulmonary disease (OR=1.37, 95% CI=1.08, 1.73), index SII
inpatient initial treatment (OR=0.71, 95% CI=0.54, 0.95), and SII event in the year
preceding the index SII (OR=1.65, 95% CI=1.08, 2.53) were associated with repeat SII
within 1 year (Table 1).
Repeat SII rates ranged from 3% of patients with multiple index SII mechanisms to 13% of
patients with cut/ pierce index SII mechanism (Table 2). Most sample sizes were too small to
assess repeat SII by injury mechanism (i.e., same/different compared with index SII),
although a far lower proportion of patients with index SII poisoning (30%,
n
=91/304)
compared with cut/pierce (60%,
n
=87/145) used the same mechanism at the first repeat SII
event (Table 2). First repeat SII occurred throughout the 1-year follow-up observation period
for all age groups (Figure 2). At ≤7 days, 8−30 days, and 31−180 days since index SII, 3%
(
n
=126/4,681), 1% (
n
=50/4,681), and 5% (
n
=216/4,681) of patients had medical treatment
for a repeat SII event (Figure 2), respectively.
Just 52% of patients (
n
=2,443/4,681) with clinically treated SII had one or more SII ED
visits during the total 2-year observation period per patient and 5% (
n
=239/ 4,681) of
patients had two or more SII ED visits (Appendix Figure 1, available online). Less than 1%
of patients (
n
=33/4,681) had one or more SII UCF visits (Appendix Figure 1, available
online).
DISCUSSION
Retrospective analysis of U.S. medical claims data allowed this study to make three data
contributions that may ultimately inform clinical and public health activities related to youth
SII. First, this study appears to be the first large-sample assessment of repeat SII in the U.S.
in decades, and the first to focus on youth SII.15,17 This study reported the incidence of
repeat SII within 1 year among youth with clinically diagnosed SII (11%) and reported that
several observable factors in medical claims data (patient age, sex, comorbidities, preceding
SII event, and index SII initial treatment setting) were associated with repeat SII.
Second, this study assessed the prevalence of clinically diagnosed comorbid conditions
among youth SII patients, identifying that more than 70% of patients were diagnosed or
treated for comorbidities within 1 year preceding the index SII. In other words, a majority of
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patients in this sample had underlying health conditions and contact with clinicians
regarding those conditions shortly before SII. Third, this study’s finding that only half of
youth with clinically diagnosed SII were treated in an ED suggests a large proportion of
youth with clinically diagnosed SII (i.e., only a subset of all youth with SII) are not
identified in ED-based data.
This analysis estimated that among youth SII patients, younger age; being female; previous
diagnosis of depression, psychosis, or chronic pulmonary disease (including asthma); and
preceding SII event were associated with a higher likelihood of repeat SII within 1 year, and
that inpatient treatment for index SII was associated with lower risk of repeat SII. The
finding of increased risk for repeat SII among patients with mental health comorbidities is
consistent with previous research reporting that long-standing psychosocial vulnerabilities
are associated risk factors for repeat self-harm injury.11 The finding of increased risk
associated with a preceding SII event appears consistent with previous research indicating
that some SII patients are chronically and severely affected.12,24 The significant association
between chronic pulmonary disease (including asthma) and repeat SII merits further
investigation. The association of index SII inpatient treatment with reduced likelihood of
repeat SII might indicate successful treatment following a severe self-harm event. This result
merits further investigation.
This study’s finding of 11% repeat SII within 1 year is slightly lower than the average 16%
reported in a previous systematic review of (primarily non−U.S.) studies.17 Unlike most
studies in that review, which assessed only hospital-treated index SII and repeat SII, this
study assessed index SII and repeat SII diagnosed in any clinical setting.8 One might assume
that observing all clinical settings for repeat SII could incline the present study toward a
higher repeat SII rate than the 16% observed in hospital-only studies (i.e., by capturing
patients’ non-hospital clinical care). On the other hand, by observing all clinical settings for
an index SII diagnosis, the present study might have included patients with less severe index
SII than hospital-based studies (and perhaps less likely to repeat), resulting in a lower overall
rate of repeat SII compared with hospital-based studies. Another difference is that the
present study assessed only insured patients. Previous research using ED visit data likely
captured non-insured patients who potentially have additional risk factors for repeat SII.1
A logical next research goal would be to use U.S. medical claims or similar data to assess
how many youth SII patients received appropriate treatment. However, evidence to guide
clinical management of self-harm is sparse, rendering it difficult to define “appropriate
treatment” for such a future study.25,26 A recent systematic review and meta-analysis of SII
interventions among children and youth concluded that the evidence base is extremely
limited, although therapeutic assessment, mentalization therapy, and dialectical behavior
therapy merit further evaluation.26
Because there is no one single biological or psychosocial determinant of self-harm,
comprehensive prevention strategies that address a range of factors, in a range of settings
(e.g., school, community, healthcare) are needed. The Centers for Disease Control and
Prevention’s technical package to prevent suicide helps states and communities identify
strategies with the best available evidence. These strategies include teaching coping and
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problem-solving skills and promoting connectedness, identifying and supporting people
already at risk, and creating protective environments and strengthening access and delivery
of suicide care to prevent future risk.27
LIMITATIONS
This study has at least four notable limitations. First, a major limitation is the lack of
mortality information. As previously noted, a systematic review reported an average 2% of
patients died by suicide within 1 year of hospital-treated SII.17 Second, this study’s
MarketScan data source lacked comprehensive data on patients’ socioeconomic and race/
ethnicity information. For example, previous research has reported a high proportion of
patients hospitalized following a suicide attempt are white males and that SII mechanism is
associated with patient race/ethnicity.28 Third, this study relied on administrative coding,
which implies a number of limitations. Authors were limited to E-codes to identify self-
harm intent on medical claims for injury treatment, and proposed criteria to use available
administrative data (e.g., clinical setting, injury mechanism) to differentiate unique SII
events. Authors’ use of administrative data also did not facilitate investigation of a wide
range of risk factors for repeat SII that have been investigated in survey studies, such as
patients’ familial relationships.7
The fourth limitation is that this study’s 1-year follow-up period to observe repeat SII is
shorter than previous studies using hospital-based registry data in other countries. For
example, over a 7-year study period, 22% of SII patients presented on at least two occasions
to EDs in Ireland, 10% presented at least three times, and 1% presented at least ten times.12
However, nearly half of those observed repeat injuries occurred within 3 months of the index
SII and almost two thirds occurred within 6 months, suggesting that the 1-year observation
period employed in this study may capture the majority of patients that repeat SII.12
CONCLUSIONS
This study described SII and repeat SII among a large sample of U.S. youth during a period
in which prevalence of youth SII increased substantially, according to population-based ED
visit data in the U.S. and other countries. This study reported that just half of youth with
clinically treated SII were seen in an ED and that 11% of patients sought clinical treatment
for repeat SII within 1 year. Notably, 70% of youth with clinically treated SII were seen by a
clinician for comorbidities in the 12 months prior to SII treatment. Such information on
health care provider contacts with youth patients at risk of SII may be used to target
prevention and treatment activities. Beyond identifying at-risk patients, clinical and public
health decision making will benefit from widespread implementation of evidence-based
primary prevention strategies, further implementation of proven approaches, and
identification of new strategies for SII, that, together, will ultimately help to prevent suicide.
Supplementary Material
Refer to Web version on PubMed Central for supplementary material.
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ACKNOWLEDGMENTS
Cora Peterson conceived of the study, led the study design and interpretation of results, assisted with data analysis,
and drafted and edited the manuscript for important intellectual content. Likang Xu assisted with the study design
and interpretation of results, led data analysis, and edited the manuscript for important intellectual content. Ruth W.
Leemis assisted with the study design and interpretation of results, and edited the manuscript for important
intellectual content. Deborah M. Stone assisted with the study design and interpretation of results, and edited the
manuscript for important intellectual content. All authors approved the final manuscript as submitted.
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22. Hansen L The Truven Health MarketScan Databases for life sciences researchers: white paper Ann
Arbor, MI: Truven Health Analytics, 2017.
23. Cohen RA. Long-term trends in health insurance: estimates from the National Health Interview
Survey, United States, 1968−2016 Atlanta, GA: National Center for Health Statistics, 2017.
24. CDC. Tools for Categorizing Injuries using ICD Codes, External Cause-of-Injury (E-code)
Matrices, ICD-9. 2017 www.cdc.gov/nchs/injury/injury_tools.htm. Updated January 26, 2017.
Accessed December 11, 2017.
25. Ness J, Hawton K, Bergen H, et al. High-volume repeaters of self-harm. Crisis 2016;37(6):427–
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26. Kapur N, Steeg S, Webb R, et al. Does clinical management improve outcomes following self-
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10.1371/journal.pone.0070434. [PubMed: 23936430]
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28. Stone DM, Holland KM, Bartholow BN, Crosby AE, Jack SPD, Wilkins N. Preventing Suicide: A
Technical Package of Policies, Programs, and Practices Atlanta, GA: National Center for Injury
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29. Hanuscin C, Zahmatkesh G, Shirazi A, Pan D, Teklehaimanot S, Bazargan-Hejazi S. Socio-
demographic and mental health profile of admitted cases of self-inflicted harm in the U.S.
population. Int J Environ Res Public Health 2018;15(1):77 10.3390/ijerph15010077.
Peterson et al. Page 9
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Figure 1.
Sample selection.
aAges 10−24 years in 2013 determined by year of birth 1989−2004 for Medicaid enrollees.
bNon-fatal self-inflicted injury (SII) defined by ICD-9-CM codes E950−959 (suicide and
self-inflicted injury). Patient age defined by date of service.
cIndex SII diagnosis date (date, month, year) defined as the first inpatient or outpatient
diagnosis of non-fatal self-inflicted injury in calendar year 2013.
dEnrollment identified in months in the source dataset (e.g., a patient with an index SII
diagnosis on any date in September 2013 [i.e., calendar month 9] was included in the
analysis sample if the patient was enrolled continuously through 2014 month 9 and
including 2012 month 9).
Peterson et al. Page 10
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Figure 2.
Time to repeat injury within 1 year after index injury (
n
=527/4,681 patients with repeat
injury).
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Table 1.
Patient and Injury Characteristics
Measure Summary statistics Regression model, repeat injury ≤1
year of index SII, AOR (95% CI)
(N=4,681)Measure Age 10−14 years
(n=1,006) Age 15−19 years
(n=2,629) Age 20−24 years
(n=1,046) All (N=4,681)
Patient
Age at index SII diagnosis (2013), years, mean (SE) 13.2 (0.03) 16.6 (0.03) 21.7 (0.04) 17.0 (0.05) 0.96 (0.93, 0.99)
a
Sex, female,
n
(%) patients 788 (78.3) 1,859 (70.7) 642 (61.4) 3,289 (70.3) 1.61 (1.28, 2.03)
Comorbidities
b
(2012 − 2013),
n
(%) patients
Any comorbidity 613 (60.9) 1,886 (71.7) 828 (79.2) 3,327 (71.1) NA
Depression 439 (43.6) 1,321 (50.2) 553 (52.9) 2,313 (49.4) 1.58 (1.29, 1.92)
Psychoses 159 (15.8) 583 (22.2) 366 (35.0) 1,108 (23.7) 1.33 (1.06, 1.65)
Drug abuse 67 (6.7) 506 (19.2) 334 (31.9) 907 (19.4) 1.20 (0.93, 1.54)
Chronic pulmonary disease 152 (15.1) 416 (15.8) 163 (15.6) 731 (15.6) 1.37 (1.08, 1.73)
Other neurological disorders 94 (9.3) 287 (10.9) 185 (17.7) 566 (12.1) 1.28 (0.98, 1.68)
Alcohol abuse 16 (1.6) 196 (7.5) 220 (21.0) 432 (9.2) 1.00 (0.71, 1.40)
Other 114 (11.3) 419 (15.9) 360 (34.4) 893 (19.1) 1.03 (0.79, 1.34)
Insurance payer type,
n
(%) patients
Commercial 534 (53.1) 1,527 (58.1) 757 (72.4) 2,818 (60.2) ref
Medicaid 472 (46.9) 1,102 (41.9) 289 (27.6) 1,863 (39.8) 1.10 (0.91, 1.33)
Index SII (2013),
n
(%) patients
Initial clinical treatment setting
Emergency department 484 (48.1) 1,347 (51.2) 497 (47.5) 2,328 (49.7) 0.93 (0.71, 1.22)
Inpatient 451 (44.8) 1,255 (47.7) 556 (53.2) 2,262 (48.3) 0.71 (0.54, 0.95)
Ambulance 132 (13.1) 421 (16.0) 190 (18.2) 743 (15.9) 1.26 (0.98, 1.61)
Clinician office 145 (14.4) 233 (8.9) 83 (7.9) 461 (9.8) 1.10 (0.78, 1.54)
Urgent care facility 7 (0.7) 16 (0.6) 6 (0.6) 29 (0.6) 0.66 (0.15, 2.86)
Other
c
232 (23.1) 666 (25.3) 264 (25.2) 1,162 (24.8) NA
Injury mechanism
d
Poisoning 508 (50.5) 1,639 (62.3) 651 (62.2) 2,798 (59.8) 0.92 (0.61, 1.39)
Cut/pierce 292 (29.0) 584 (22.2) 223 (21.3) 1,099 (23.5) 1.04 (0.68, 1.60)
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Measure Summary statistics Regression model, repeat injury ≤1
year of index SII, AOR (95% CI)
(N=4,681)Measure Age 10−14 years
(n=1,006) Age 15−19 years
(n=2,629) Age 20−24 years
(n=1,046) All (N=4,681)
Suffocation 33 (3.3) 49 (1.9) 16 (1.5) 98 (2.1) 0.91 (0.42, 1.98)
Motor vehicle 7 (0.7) 11 (0.4) 6 (0.6) 24 (0.5) 1.01 (0.22, 4.55)
Falls 9 (0.9) 6 (0.2) 4 (0.4) 19 (0.4) 0.85 (0.18, 3.95)
Firearms 0 (0) 8 (0.3) 7 (0.7) 15 (0.3) 2.84 (0.60, 13.52)
Fire/flame 0 (0) 6 (0.2) 5 (0.5) 11 (0.2)
e
Drowning/submersion 1 (0.1) 0 (0) 3 (0.3) 4 (0.1)
e
Natural/environmental 3 (0.3) 0 (0.0) 1 (0.1) 4 (0.1)
e
Hot object/substance 1 (0.1) 2 (0.1) 0 (0) 3 (0.1)
e
Multiple mechanism 6 (0.6) 20 (0.8) 5 (0.5) 31 (0.7) 0.28 (0.04, 2.13)
Other specified, classifiable 4 (0.4) 11 (0.4) 1 (0.1) 16 (0.3) 0.76 (0.22, 2.68)
Other specified, not elsewhere classifiable 67 (6.7) 168 (6.4) 56 (5.4) 291 (6.2) 0.84 (0.48, 1.48)
Unspecified 75 (7.5) 125 (4.8) 68 (6.5) 268 (5.7) ref
Multiple non-fatal self-inflicted injuries
Preceding injury ≤1 year of index SII (2012−2013),
n
(%) 20 (2.0) 88 (3.3) 34 (3.3) 142 (3.0) 1.65 (1.08, 2.53)
Follow-up injury ≤1 year of index SII (2013−2014),
n
(%) 129 (12.8) 287 (10.9) 111 (10.6) 527 (11.3) NA
Note:
Boldface indicates statistical significance (
p
<0.05). Bold text in summary statistics columns refers to comparisons of Age 15−19 years group or Age 20−24 years group to Age 10−14 years group; x2
test conducted for rows with total sample size ≥21. Bold text in regression model column indicates variable was significantly associated with subsequent SII in the regression model.
a
Age assessed as continuous variable.
b
Patients could each have ≥1 comorbidities. Other includes comorbidities affecting <5% of patients: obesity, hypertension, fluid and electrolyte disorders, weight loss, deficiency anemias, diabetes, valvular
disease, coagulopathy, rheumatoid arthritis, paralysis, congestive heart failure, liver disease, hypothyroidism, renal failure, chronic blood loss anemia, lymphoma, peripheral vascular disease, solid tumor
without metastasis, pulmonary circulation disease, metastatic cancer, AIDS.
c
Includes non-emergency department hospital outpatient, rural health clinic, federally qualified health center, school, patient home, and others.
d
Injury mechanism definitions: all injury (E950−E959), cut/pierce (E956), drowning/submersion (E954), fall (E957), fire/burn (E958.1, E958.2, E958.7), fire/flame (E958.1), hot object/substance (E958.2,
E948.7), firearm (E955.0−.4), motor vehicle traffic (E958.5), transport, other (E958.6), natural/environmental (E958.3), poisoning (E950−E952), suffocation (E953), other (other specified and classifiable
(E955.5, E955.6, E955.7, E955.9, E958.0, E958.4); other specified, not elsewhere classifiable (E958.8, E959), and unspecified (E958.9)). Reproduced from www.cdc.gov/injury/wisqars/ecode_matrix.html
(Accessed February 17, 2017).
e
Due to small sample sizes of patients with index SII mechanism drowning/submersion, fire/flame, hot object/substance, and natural/environmental, these patients were grouped with mechanism “other
specified, classifiable” for the regression analysis.
NA, not assessed; SII, non-fatal self-inflicted injury.
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Table 2.
Number and Proportion of Patients With Repeat Injury Within 1 Year by Mechanism
Index SII mechanismaIndex SII, n patients (N=4,681) Repeat SII, n (%)b (N=527) Same mechanism as index, n (%)cDifferent mechanism as index, n (%)c
Poisoning 2,798 304 (10.9) 91 (29.9) 213 (70.1)
Cut/pierce 1,099 145 (13.2) 87 (60.0) 58 (40.0)
Suffocation 98 10 (10.2) NA NA
Motor vehicles 24 2 (8.3) NA NA
Falls 19 NA NA NA
Firearms 15 NA NA NA
Fire/flame 11 NA NA NA
Drowning/submersion 4 NA NA NA
Natural/environmental 4 NA NA NA
Hot object/substance 3 NA NA NA
Multiple mechanism 31 1 (3.2) NA NA
Other specified, classifiable 16 NA NA NA
Other specified, not elsewhere classifiable 291 26 (8.9) 13 (50.0) 13 (50.0)
Unspecified 268 32 (11.9) 12 (37.5) 20 (62.5)
a
Categories for index SII mechanism drowning/submersion, hot object/substance, and natural/environmental not included here due to small sample size.
b
Percent of patients with index SII mechanism, or Column 2.
c
Percent of patients with same/different repeat SII mechanism, or Column 3.
NA, not assessed (due to sample size <21); SII, non-fatal self-inflicted injury.
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... Limited to re-presentation within 7 days, the authors reported a rate of 6%. 12 This lower rate of return is unsurprising, as most representations occur after this time. 7,10 Many of these studies also examined a range of factors associated with risk of re-presenting for self-harm in children and adolescents. Consistent predictors of re-presenting to ED were previous self-harm, 7-12 female gender, 7,8,10,12 diagnosis of a personality disorder, 9,12 history of depression, 7,9,12 drug/substance abuse 7,12 and selfcutting. ...
... 7,10 Many of these studies also examined a range of factors associated with risk of re-presenting for self-harm in children and adolescents. Consistent predictors of re-presenting to ED were previous self-harm, 7-12 female gender, 7,8,10,12 diagnosis of a personality disorder, 9,12 history of depression, 7,9,12 drug/substance abuse 7,12 and selfcutting. 8,10,11 Due to the limited data in the Australian context, and the large variation in re-presentation rates of previous international studies, we aimed to use data from an Australian, metropolitan, tertiary paediatric hospital to identify (i) the proportion of children and adolescents aged 0-18 years who represented to ED for self-harm within 3, 6 and 12 months of an index visit for self-harm; (ii) whether children and adolescents were more likely to represent after their first, second or third ED visit; and (iii) the patient, family and hospital presentation factors associated with re-presentation for self-harm. ...
... Our re-presentation rate was higher than that reported in other studies. [7][8][9][10][11][12] One possible reason for this may have been our method of case ascertainment. In our study, a third of the self-harm presentations were identified through manual review, which was not described in the methods of other studies. ...
Article
Objective: To examine re-presentation rates for self-harm in patients aged 0-18 years to the ED of a tertiary paediatric hospital in Melbourne, Australia, and associated patient, family and hospital presentation factors. Methods: Data for presentations from 1 July 2016 to 31 December 2018 were extracted from the hospital's electronic medical record system. Self-harm presentations were identified through automated, rule-based coding and manual review of medical notes. Re-presentation rates for intervals up to 12 months were estimated using survival methods with risk factor associations examined using Cox regression. Results: Of the 952 presentations for self-harm after 1 January 2017, 529 were considered first presentations. An estimated 15% (95% confidence interval [CI] 12-19), 20% (95% CI 17-24) and 23% (95% CI 19-27) re-presented for self-harm within 3, 6 and 12 months, respectively. A total of 82% of all presentations were for girls. Patients were more likely to re-present if they had previously presented more than once, were flagged as vulnerable (hazard ratio [HR] 1.35, 95% CI 1.08-1.68), had a history of substance abuse (HR 1.30, 95% CI 1.03-1.64), were female (HR 1.43, 95% CI 0.92-2.21), had self-cut (HR 1.38, 95% CI 0.96-1.97), had an aggressive behaviour response team called during the visit (HR 1.44, 95% CI 0.85-2.45) or had a history of depression (HR 1.27, 95% CI 0.99-1.63). Conclusions: In this paediatric ED, almost one in four patients re-presented with self-harm within 12 months. Previous presentations and other factors were associated with risk of re-presenting, although no factor was strongly predictive. Future research might examine the generalisability of these findings across settings and explore strategies for prevention.
... Почти каждый десятый юноша повторял СХ в течение года, и почти половина с СХ никогда не госпитализирована и / или не лечилась в отделениях неотложной помощи [79]. ...
... Психические проблемы увеличивают обращения во все медицинские службы без контроля соматических жалоб. Подростки обычно обращаются в общемедицинские службы до или по-gency departments [79]. ...
... NSSI tends to occur in adolescents and young adults, and the incidence decreases in adulthood (3). In the past 10 years, the detection rate of NSSI has increased significantly in many countries (4)(5)(6). A longitudinal study showed that NSSI increased the risk of individual mental disorders, substance abuse, and selfharm, and led to serious damage to social functions (7). ...
Article
Full-text available
Background Identifying high-risk groups of non-suicidal self-injury (NSSI) with multiple risk factors and different functional subtypes contribute to implementing person-centered interventions. Methods We investigated NSSI profiles among a sample of 258 psychiatric inpatients aged 18–25 years. All participants completed well-validated measures of internal personal and external environmental characteristics. One-hundred and ninety patients reported a lifetime history of NSSI and completed an additional NSSI assessment. A k-means cluster analysis was conducted to extract characteristics of risk factors and functional subtypes. Independent sample t-test, analysis of variance and χ² test were used to test the difference of demographic statistical factors, risk factors and functional scores among groups with different frequency of NSSI. Results The clustering of risk factors analyses supported 4-clusters. The proportion of repeat NSSI patients was the highest (67.1%) in the group with unfavorable personal and unfavorable environmental characteristics. Functional subtype clustering analyses supported 5-clusters. Among patients with repeated NSSI, those with depression were mainly accompanied by the “Sensation Seeking” subtype (39.7%), bipolar disorder mainly supported the “Anti-suicide” subtype (37.9%), and eating disorders were mostly “Social Influence” subtype (33.3%). There was an interaction between functional subtypes and mental disorders. Limitations All participants were in treatment in a psychiatric service and the results may not be generalizable to a community sample. The data included retrospective self-report which may be inaccurate due to recall bias. Conclusion It is necessary to identify high-risk groups of NSSI who with unfavorable personal and environmental characteristics and clinical interventions need to consider the heterogeneity of patients’ functional subtypes of NSSI.
... ix LIST OF TABLES Table 5: Risk Factor*Non-Suicidal Self-Injury Contingency Table . Deliberate self-harm (DSH), often discussed in popular media as cutting or selfinjuring (Adler & Adler, 2011), has received significant attention in both popular culture, medical research, and academic papers in the past several decades (Hawton & Harriss, 2007;Peterson, Xu, Leemis, & Stone, 2019;Witt & Robinson, 2019;Zdanow & Wright, 2012). There are songs, movies, television shows (Purington & Whitlock, 2010), public health campaigns (Brophy & Holmstrom, 2006), social media groups (Dyson et al., 2016;Moreno, Ton, Selkie, & Evans), and YouTube channels (Lewis, Heath, St Denis, & Noble, 2011) dedicated to the topic. ...
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Secondary data analysis using CANS data in Indiana exploring NSSI and DSH in children younger than 10 years of age
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El intento de suicidio (IS) supone una problemática de alto interés global, dentro de la cual se enmascaran múltiples factores de riesgo de índole biológico, social, económico, entre otros. Según la Organización Mundial de la Salud (OMS) anualmente cerca de 703.000 personas se quitan la vida y muchas más intentan hacerlo, configurando el suicidio como la cuarta causa de mortalidad entre jóvenes de 15 - 19 años, del cual el 77% de los suicidios se producen en los países de ingresos bajos y medianos. La etiología o métodos más frecuentemente usados en este tipo de actos se encuentran: Ahorcamiento, ingestión de plaguicidas y lesiones por arma de fuego. (1) Cerca del 40% de los casos de intento de suicidio ya han tenido intentos previos, el riesgo de suicidio tiende a aumentar hasta 30 veces en los primeros seis meses posteriores a un IS. (2) En Colombia, Según datos reportados por el Instituto Nacional de Salud (INS) a la fecha se han notificado 18.395 casos relacionados a IS, representando un aumento del 23,4% respecto a los casos del 2021(figura 1), con una tasa de incidencia de 35.6 casos por cada 100.000 habitantes. (3) Dentro de los principales factores de riesgo en la población colombiana asociados a este evento se encuentran en orden de frecuencia: Antecedente de trastorno psiquiátrico, Ideación suicida persistente, Plan organizado de suicidio, Consumo de sustancia psicoactivas, Abuso de alcohol, Antecedente de violencia o abuso y antecedente familiar de conducta suicida. Los factores desencadenantes más involucrados en el intento de suicidio se encuentran: Problemas familiares, conflicto con pareja y/o expareja, problemas económicos. (3)
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In the United States, youth have the highest burden of nonfatal self-inflicted injury (ie, deliberate physical harm against oneself, inclusive of suicidal and nonsuicidal intent) requiring medical attention.¹ One study found that emergency department (ED) visits for these injuries during the 1993 to 2008 period varied by age group, ranging from 1.1 to 9.6 per 1000 ED visits, with adolescents aged 15 to 19 years exhibiting the highest rates.¹ Self-inflicted injury is one of the strongest risk factors for suicide—the second-leading cause of death among those aged 10 to 24 years during 2015.² This study examined trends in nonfatal self-inflicted injuries treated in hospital EDs among US children, adolescents, and young adults aged 10 to 24 years (hereafter referred to as youth).
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Background Repeated self-harm represents the single strongest risk factor for suicide. To date no study with full national coverage has examined the pattern of hospital repeated presentations due to self-harm among young people. Methods Data on consecutive self-harm presentations were obtained from the National Self-Harm Registry Ireland. Socio-demographic and behavioural characteristics of individuals aged 10–29 years who presented with self-harm to emergency departments in Ireland (2007–2014) were analysed. Risk of long-term repetition was assessed using survival analysis and time differences between the order of presentations using generalised estimating equation analysis. ResultsThe total sample comprised 28,700 individuals involving 42,642 presentations. Intentional drug overdose was the most prevalent method (57.9%). Repetition of self-harm occurred in 19.2% of individuals during the first year following a first presentation, of whom the majority (62.7%) engaged in one repeated act. Overall, the risk of repeated self-harm was similar between males and females. However, in the 20–24-year-old age group males were at higher risk than females. Those who used self-cutting were at higher risk for repetition than those who used intentional drug overdose, particularly among females. Age was associated with repetition only among females, in particular adolescents (15–19 years old) were at higher risk than young emerging adults (20–24 years old). Repeated self-harm risk increased significantly with the number of previous self-harm episodes.Time differences between first self-harm presentations were detected. Time between second and third presentation increased compared to time between first and second presentation among low frequency repeaters (patients with 3 presentations only within 1 year following a first presentation). The same time period decreased among high frequency repeaters (patients with at least 4 to more than 30 presentations). Conclusion Young people with the highest risk for repeated self-harm were 15–19-year-old females and 20–24-year-old males. Self-cutting was the method associated with the highest risk of self-harm repetition. Time between first self-harm presentations represents an indicator of subsequent repetition. To prevent risk of repeated self-harm in young people, all individuals presenting at emergency departments due to self-harm should be provided with a risk assessment including psychosocial characteristics, history of self-harm and time between first presentations.
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Background: Repetition of self-harm is common and is strongly associated with suicide. Despite this, there is limited research on high-volume repetition. Aim: To investigate individuals with high-volume repeat self-harm attendances to the emergency department (ED), including their patterns of attendance and mortality. Method: Data from the Multicentre Study of Self-Harm in England were used. High-volume repetition was defined as &ges;15 attendances within 4 years. An attendance timeline was constructed for each high-volume repeater (HVR) and the different patterns of attendance were explored using an executive sorting task and hierarchical cluster analysis. Results: A small proportion of self-harm patients are HVRs (0.6%) but they account for a large percentage of self-harm attendances (10%). In this study, the new methodological approach resulted in three types of attendance patterns. All of the HVRs had clusters of attendance and a greater proportion died from external causes compared with non-HVRs. Conclusion: The approach used in this study offers a new method for investigating this problem that could have both clinical and research benefits. The need for early intervention is highlighted by the large number of self-harm episodes per patient, the clustered nature of attendances, and the higher prevalence of death from external causes.
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Background Self-harm entails high costs to individuals and society in terms of suicide risk, morbidity and healthcare expenditure. Repetition of self-harm confers yet higher risk of suicide and risk assessment of self-harm patients forms a key component of the health care management of self-harm patients. To date, there has been no systematic review published which synthesises the extensive evidence on risk factors for repetition.Objective This review is intended to identify risk factors for prospective repetition of self-harm after an index self-harm presentation, irrespective of suicidal intent.Data sourcesPubMed, PsychInfo and Scirus were used to search for relevant publications. We included cohort studies which examining factors associated with prospective repetition among those presenting with self-harm to emergency departments. Journal articles, abstracts, letters and theses in any language published up to June 2012 were considered. Studies were quality-assessed and synthesised in narrative form.ResultsA total of 129 studies, including 329,001 participants, met our inclusion criteria. Some factors were studied extensively and were found to have a consistent association with repetition. These included previous self-harm, personality disorder, hopelessness, history of psychiatric treatment, schizophrenia, alcohol abuse/dependence, drug abuse/dependence, and living alone. However, the sensitivity values of these measures varied greatly across studies. Psychological risk factors and protective factors have been relatively under-researched but show emerging associations with repetition. Composite risk scales tended to have high sensitivity but poor specificity.Conclusions Many risk factors for repetition of self-harm match risk factors for initiation of self-harm, but the most consistent evidence for increased risk of repetition comes from long-standing psychosocial vulnerabilities, rather than characteristics of an index episode. The current review will enhance prediction of self-harm and assist in the efficient allocation of intervention resources.
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Objectives To investigate the mental health, substance use, educational, and occupational outcomes of adolescents who self harm in a general population sample, and to examine whether these outcomes differ according to self reported suicidal intent. Design Population based birth cohort study. Setting Avon Longitudinal Study of Parents and Children (ALSPAC), a UK birth cohort of children born in 1991-92. Participants Data on lifetime history of self harm with and without suicidal intent were available for 4799 respondents who completed a detailed self harm questionnaire at age 16 years. Multiple imputation was used to account for missing data. Main outcome measures Mental health problems (depression and anxiety disorder), assessed using the clinical interview schedule-revised at age 18 years, self reported substance use (alcohol, cannabis, cigarette smoking, and illicit drugs) at age 18 years, educational attainment at age 16 and 19 years, occupational outcomes at age 19 years, and self harm at age 21 years. Results Participants who self harmed with and without suicidal intent at age 16 years were at increased risk of developing mental health problems, future self harm, and problem substance misuse, with stronger associations for suicidal self harm than for non-suicidal self harm. For example, in models adjusted for confounders the odds ratio for depression at age 18 years was 2.21 (95% confidence interval 1.55 to 3.15) in participants who had self harmed without suicidal intent at age 16 years and 3.94 (2.67 to 5.83) in those who had self harmed with suicidal intent. Suicidal self harm, but not self harm without suicidal intent, was also associated with poorer educational and employment outcomes. Conclusions Adolescents who self harm seem to be vulnerable to a range of adverse outcomes in early adulthood. Risks were generally stronger in those who had self harmed with suicidal intent, but outcomes were also poor among those who had self harmed without suicidal intent. These findings emphasise the need for early identification and treatment of adolescents who self harm.
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Non-fatal self-harm is one of the most frequent reasons for emergency hospital admission and the strongest risk factor for subsequent suicide. Repeat self-harm and suicide are key clinical outcomes of the hospital management of self-harm. We have undertaken a comprehensive review of the international literature on the incidence of fatal and non-fatal repeat self-harm and investigated factors influencing variation in these estimates as well as changes in the incidence of repeat self-harm and suicide over the last 30 years. Medline, EMBASE, PsycINFO, Google Scholar, article reference lists and personal paper collections of the authors were searched for studies describing rates of fatal and non-fatal self-harm amongst people who presented to health care services for deliberate self-harm. Heterogeneity in pooled estimates of repeat self-harm incidence was investigated using stratified meta-analysis and meta-regression. The search identified 177 relevant papers. The risk of suicide in the 12 months after an index attempt was 1.6% (CI 1.2-2.4) and 3.9% (CI 3.2-4.8) after 5 years. The estimated 1 year rate of non-fatal repeat self-harm was 16.3% (CI 15.1-17.7). This proportion was considerably lower in Asian countries (10.0%, CI 7.3-13.6%) and varies between studies identifying repeat episodes using hospital admission data (13.7%, CI 12.3-15.3) and studies using patient report (21.9%, CI 14.3-32.2). There was no evidence that the incidence of repeat self-harm was lower in more recent (post 2000) studies compared to those from the 1980s and 1990s. One in 25 patients presenting to hospital for self-harm will kill themselves in the next 5 years. The incidence of repeat self-harm and suicide in this population has not changed in over 10 years. Different methods of identifying repeat episodes of self-harm produce varying estimates of incidence and this heterogeneity should be considered when evaluating interventions aimed at reducing non-fatal repeat self-harm.
Article
Background: Little is known about the relative incidence of fatal and non-fatal self-harm in young people. We estimated the incidence of suicide, hospital-presenting non-fatal self-harm, and community-occurring non-fatal self-harm in adolescents in England. Methods: We used national mortality statistics (Jan 1, 2011, to Dec 31, 2013), hospital monitoring data for five hospitals derived from the Multicentre Study of Self-Harm in England (Jan 1, 2011, to Dec 31, 2013), and data from a schools survey (2015) to estimate the incidence of fatal and non-fatal self-harm per 100 000 person-years in adolescents aged 12-17 years in England. We described these incidences in terms of an iceberg model of self-harm. Findings: During 2011-13, 171 adolescents aged 12-17 years died by suicide in England (119 [70%] male and 133 [78%] aged 15-17 years) and 1320 adolescents presented to the study hospitals following non-fatal self-harm (1028 [78%] female and 977 [74%] aged 15-17 years). In 2015, 322 (6%) of 5506 adolescents surveyed reported self-harm in the past year in the community (250 [78%] female and 164 [51%] aged 15-17 years). In 12-14 year olds, for every boy who died by suicide, 109 attended hospital following self-harm and 3067 reported self-harm in the community, whereas for every girl who died by suicide, 1255 attended hospital for self-harm and 21 995 reported self-harm in the community. In 15-17 year olds, for every male suicide, 120 males presented to hospital with self-harm and 838 self-harmed in the community; whereas for every female suicide, 919 females presented to hospital for self-harm and 6406 self-harmed in the community. Hanging or asphyxiation was the most common method of suicide (125 [73%] of 171), self-poisoning was the main reason for presenting to hospital after self-harm (849 [71%] of 1195), and self-cutting was the main method of self-harm used in the community (286 [89%] of 322). Interpretation: Ratios of fatal to non-fatal rates of self-harm differed between males and females and between adolescents aged 12-14 years and 15-17 years, with a particularly large number of females reporting self-harm in the community. Our findings emphasise the need for well resourced community and hospital-based mental health services for adolescents, with greater investment in school-based prevention. Funding: UK Department of Health.
Article
Background Self-harm (SH; intentional self-poisoning or self-injury) is common in children and adolescents, often repeated, and strongly associated with suicide. This is an update of a broader Cochrane review on psychosocial and pharmacological treatments for deliberate SH first published in 1998 and previously updated in 1999. We have now divided the review into three separate reviews; this review is focused on psychosocial and pharmacological interventions for SH in children and adolescents. Objectives To identify all randomised controlled trials of psychosocial interventions, pharmacological agents, or natural products for SH in children and adolescents, and to conduct meta-analyses (where possible) to compare the effects of specific treatments with comparison types of treatment (e.g., treatment as usual (TAU), placebo, or alternative pharmacological treatment) for children and adolescents who SH. Search methods For this update the Cochrane Depression, Anxiety and Neurosis Group (CCDAN) Trials Search Co-ordinator searched the CCDAN Specialised Register (30 January 2015). Selection criteria We included randomised controlled trials comparing psychosocial or pharmacological treatments with treatment as usual, alternative treatments, or placebo or alternative pharmacological treatment in children and adolescents (up to 18 years of age) with a recent (within six months) episode of SH resulting in presentation to clinical services. Data collection and analysis Two reviewers independently selected trials, extracted data, and appraised study quality, with consensus. For binary outcomes, we calculated odds ratios (OR) and their 95% confidence intervals (CI). For continuous outcomes measured using the same scale we calculated the mean difference (MD) and 95% CI; for those measured using different scales we calculated the standard mean difference (SMD) and 95% CI. Meta-analysis was only possible for two interventions: dialectical behaviour therapy for adolescents and group-based psychotherapy. For these analyses, we pooled data using a random-effects model. Main results We included 11 trials, with a total of 1,126 participants. The majority of participants were female (mean = 80.6% in 10 trials reporting gender). All trials were of psychosocial interventions; there were none of pharmacological treatments. With the exception of dialectical behaviour therapy for adolescents (DBT-A) and group-based therapy, assessments of specific interventions were based on single trials. We downgraded the quality of evidence owing to risk of bias or imprecision for many outcomes. Therapeutic assessment appeared to increase adherence with subsequent treatment compared with TAU (i.e., standard assessment; n = 70; k = 1; OR = 5.12, 95% CI 1.70 to 15.39), but this had no apparent impact on repetition of SH at either 12 (n = 69; k = 1; OR 0.75, 95% CI 0.18 to 3.06; GRADE: low quality) or 24 months (n = 69; k = 1; OR = 0.69, 05% CI 0.23 to 2.14; GRADE: low quality evidence). These results are based on a single cluster randomised trial, which may overestimate the effectiveness of the intervention. For patients with multiple episodes of SH or emerging personality problems, mentalisation therapy was associated with fewer adolescents scoring above the cut-off for repetition of SH based on the Risk-Taking and Self-Harm Inventory 12 months post-intervention (n = 71; k = 1; OR = 0.26, 95% CI 0.09 to 0.78; GRADE: moderate quality). DBT-A was not associated with a reduction in the proportion of adolescents repeating SH when compared to either TAU or enhanced usual care (n = 104; k = 2; OR 0.72, 95% CI 0.12 to 4.40; GRADE: low quality). In the latter trial, however, the authors reported a significantly greater reduction over time in frequency of repeated SH in adolescents in the DBT condition, in whom there were also significantly greater reductions in depression, hopelessness, and suicidal ideation. We found no significant treatment effects for group-based therapy on repetition of SH for individuals with multiple episodes of SH at either the six (n = 430; k = 2; OR 1.72, 95% CI 0.56 to 5.24; GRADE: low quality) or 12 month (n = 490; k = 3; OR 0.80, 95% CI 0.22 to 2.97; GRADE: low quality) assessments, although considerable heterogeneity was associated with both (I2 = 65% and 77% respectively). We also found no significant differences between the following treatments and TAU in terms of reduced repetition of SH: compliance enhancement (three month follow-up assessment: n = 63; k = 1; OR = 0.67, 95% CI 0.15 to 3.08; GRADE: very low quality), CBT-based psychotherapy (six month follow-up assessment: n = 39; k = 1; OR = 1.88, 95% CI 0.30 to 11.73; GRADE: very low quality), home-based family intervention (six month follow-up assessment: n = 149; k = 1; OR = 1.02, 95% CI 0.41 to 2.51; GRADE: low quality), and provision of an emergency card (12 month follow-up assessment: n = 105, k = 1; OR = 0.50, 95% CI 0.12 to 2.04; GRADE: very low quality). No data on adverse effects, other than the planned outcomes relating to suicidal behaviour, were reported. Authors' conclusions There are relatively few trials of interventions for children and adolescents who have engaged in SH, and only single trials contributed to all but two comparisons in this review. The quality of evidence according to GRADE criteria was mostly very low. There is little support for the effectiveness of group-based psychotherapy for adolescents with multiple episodes of SH based on the results of three trials, the evidence from which was of very low quality according to GRADE criteria. Results for therapeutic assessment, mentalisation, and dialectical behaviour therapy indicated that these approaches warrant further evaluation. Despite the scale of the problem of SH in children and adolescents there is a paucity of evidence of effective interventions. Further large-scale trials, with a range of outcome measures including adverse events, and investigation of therapeutic mechanisms underpinning these interventions, are required. It is increasingly apparent that development of new interventions should be done in collaboration with patients to ensure that these are likely to meet their needs. Use of an agreed set of outcome measures would assist evaluation and both comparison and meta-analysis of trials.