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OBJECTIVE: To examine individual and contextual characteristics associated with receipt of mental health treatment prior to youth suicide. METHOD: Data from the US National Violent Death Reporting System, Area Health Resource File, and Social Vulnerability Index were used to examine characteristics associated with receipt of mental health treatment within 2 months before death among youth suicide decedents aged 5 to 17 years from 2013 to 2020 (N = 6,229). The association between individual (demographic, precipitating circumstances, and clinical characteristics) and contextual-level variables (county health resources, Social Vulnerability Index) and mental health service use was modeled using logistic regression. RESULTS: Mental health treatment was received by 31.6% of youth suicide decedents (n = 1,967) in the 2 months before suicide. Male individuals and youth from all racial and ethnic minority groups were less likely to receive mental health treatment in the 2 months prior to suicide, as were youth residing in non-metropolitan counties and living in counties characterized by high compared to low levels of social vulnerability. A history of family problems, a recent crisis, criminal/legal problems, and suicidal thoughts and attempts were associated with increased odds of receiving mental health services. CONCLUSION: Youth suicide decedents who were male, members of a racial or ethnic minority group, and residing in counties that are non-metropolitan and/or socially disadvantaged were less likely to have received mental health services in the months prior to death. Suicide prevention efforts that focus on improving access to care are essential for these vulnerable populations at risk for suicide.
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This cross-sectional study investigates characteristics and trends in suicide rates among US preteens using national mortality data from 2001 to 2022.
Subject(s)
Suicide , Humans , Male , United States/epidemiology , Female , Suicide/statistics & numerical data , Suicide/trends , ChildABSTRACT
PURPOSE: To identify risk subgroups of youth suicide decedents using demographic and clinical psychiatric and medical diagnostic profiles to inform tailored youth suicide prevention efforts. METHODS: This study linked Ohio Medicaid and death certificate data for Medicaid enrolled youth aged 8-25 years who died by suicide between January 1, 2010, and December 31, 2020 (N = 511). Latent class analysis was used to identify distinct clinical risk subgroups. RESULTS: Three latent classes were identified. Internalizing problems were common across all classes, but especially prevalent in class 1, the High Internalizing + Multiple Comorbidities group (n = 152, 30%). A prior history of suicidal behavior was confined to class 1 decedents, who were otherwise characterized by substance misuse, and multiple psychiatric and medical comorbidities. Class 2 decedents, the Internalizing + Externalizing group (n = 176, 34%), were more often younger, male, Black, and unlikely to have a history of substance misuse. Decedents in class 3, the Internalizing + Substance Misuse group (n = 183, 36%), were more often older and likely to have a history of substance misuse, but unlikely to exhibit other externalizing problems. DISCUSSION: Internalizing psychopathology is particularly common among youth who die by suicide, with comorbid externalizing psychopathology, substance misuse, and medical problems contributing to youth suicide risk. Because less than a third of youth who die by suicide have a prior history of recognized suicidal thinking or behavior, universal screening for youth suicide risk should be considered, particularly in younger children, and efforts to integrate suicide prevention in traditional health care settings should be prioritized.
Subject(s)
Latent Class Analysis , Mental Disorders , Humans , Adolescent , Male , Female , Mental Disorders/epidemiology , Child , Young Adult , Ohio/epidemiology , United States/epidemiology , Adult , Suicide/statistics & numerical data , Suicide/psychology , Medicaid/statistics & numerical data , Substance-Related Disorders/epidemiology , Comorbidity , Risk Factors , Suicide Prevention , Suicide, Completed/statistics & numerical dataABSTRACT
OBJECTIVE: Cannabis use is associated with suicide-related outcomes in both adolescents and adults, and may be increasing amid shifting cannabis policies. However, little is known about the impact of medical marijuana legalization (MML) and recreational marijuana legalization (RML) policies on youth suicide. Using 20 years of national data, we examined associations between MML, RML, and suicide-related mortality among US individuals aged 12 to 25 years, and assessed whether they varied based on age and sex. METHOD: Suicide deaths (N = 113,512) from the 2000-2019 National Vital Statistics System Multiple Cause of Death files for age groups 12 to 13, 14 to 16, 17 to 19, 20 to 22, and 23 to 25 years were examined in relation to time-varying cannabis law status using a staggered adoption difference-in-difference (DiD) approach with a negative binomial regression to determine associations between MML, RML, and suicide rates, controlling for individual- and state-level covariates and accounting for the varying effective dates of MML and RML by state. RESULTS: The overall unadjusted annual suicide rate was 10.93/100,000, varying from 9.76 (states without marijuana laws (ML)) to 12.78 (MML states) to 16.68 (RML states). In multivariable analysis, both MML (incidence rate ratio [IRR] = 1.10, 95% CI: 1.05-1.15) and RML (IRR = 1.16, 95% CI: 1.06-1.27) were associated with higher suicide rates among female youth compared to those in states without ML. Youth aged 14 to 16 years had higher rates of suicide in states with RML compared to states with MML (IRR = 1.14, 95% CI: 1.00-1.30) and states without ML (IRR = 1.09, 95% CI: 1.00-1.20). Findings were consistent across sensitivity analyses. CONCLUSION: MML and RML were associated with increased suicide-related mortality in female youth and 14- to- 16-year-old individuals of both sexes. Mechanisms through which cannabis policies are related to increased youth suicide warrant further study and should inform legislative reform.
Subject(s)
Cannabis , Medical Marijuana , Adult , Male , Adolescent , Humans , Female , United States/epidemiology , Legislation, Drug , IncidenceABSTRACT
OBJECTIVE: The aim of this study was to identify adverse social determinants of health (SDoH) International Statistical Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code prevalence among individuals who died by suicide and to examine associations between documented adverse SDoH and suicide. RESEARCH DESIGN: A case-control study using linked medical record, insurance claim, and mortality data from 2000 to 2015 obtained from 9 Mental Health Research Network-affiliated health systems. We included 3330 individuals who died by suicide and 333,000 randomly selected controls matched on index year and health system location. All individuals in the study (cases and controls) had at least 10 months of enrollment before the study index date. The index date for the study for each case and their matched controls was the suicide date for that given case. RESULTS: Adverse SDoH documentation was low; only 6.6% of cases had ≥1 documented adverse SDoH in the year before suicide. Any documented SDoH and several specific adverse SDoH categories were more frequent among cases than controls. Any documented adverse SDoH was associated with higher suicide odds [adjusted odds ratio (aOR)=2.76; 95% CI: 2.38-3.20], as was family alcoholism/drug addiction (aOR=18.23; 95% CI: 8.54-38.92), being an abuse victim/perpetrator (aOR=2.53; 95% CI: 1.99-3.21), other primary support group problems (aOR=1.91; 95% CI: 1.32-2.75), employment/occupational maladjustment problems (aOR=8.83; 95% CI: 5.62-13.87), housing/economic problems (aOR: 6.41; 95% CI: 4.47-9.19), legal problems (aOR=27.30; 95% CI: 12.35-60.33), and other psychosocial problems (aOR=2.58; 95% CI: 1.98-3.36). CONCLUSIONS: Although documented SDoH prevalence was low, several adverse SDoH were associated with increased suicide odds, supporting calls to increase SDoH documentation in medical records. This will improve understanding of SDoH prevalence and assist in identification and intervention among individuals at high suicide risk.
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Little is known about the impact of child welfare system-level factors on child mortality as an outcome within foster care. Using data from the Adoption and Foster Care Analysis and Reporting System, 2009-2018, we examined the associations between county-level sociodemographic, foster care performance, and judicial reform characteristics with all-cause mortality rates. Results of random effects negative binomial regression analyses showed that higher proportions of younger children (<1 year: IRR = 1.06, 95% CI [1.02, 1.11]; 5-9 years: IRR = 1.05, 95% CI [1.01, 1.09]); children of color (i.e., non-Hispanic Asian: IRR = 1.07, 95% CI [1.01, 1.13]; multiracial: IRR = 1.03, 95% CI [1.01, 1.04]; non-Hispanic Black: IRR = 1.02, 95% CI [1.01, 1.02]; Hispanic: IRR = 1.01, 95% CI [1.01, 1.02]); and male children (IRR = 1.10, 95% CI [1.05, 1.15]) were associated with higher mortality risks at the county level. Current class action lawsuits (IRR = 0.79, 95% CI [0.63, 0.99]) and active consent decrees (IRR = 0.77, 95% CI [0.63, 0.94]) were associated with lower mortality risks. None of the foster care performance characteristics (e.g., foster care entry, placement stability, permanency) were associated with mortality risks. These findings have implications for addressing health disparities and reforming foster care systems through programmatic and policy efforts.
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There are currently no national data regarding U.S. Primary Care Physicians' (PCPs') suicide screening practices. This study surveyed 302 U.S. PCPs about their current suicide screening practices to identify service gaps and intervention points for social workers. Although one-third of PCPs reported providing screening and safety planning, few were using evidence-based tools. Factors that increased the likelihood of routine screening were belief in the importance of screening (p < .01), time (p < .01), and access to co-located behavioral health (p < .01). Findings support the role of social workers in primary care and suggest areas for training and collaboration.
Subject(s)
Physicians, Primary Care , Social Workers , Humans , Suicide Prevention , Practice Patterns, Physicians' , Primary Health CareABSTRACT
INTRODUCTION: Deaths of despair (i.e., suicide, drug/alcohol overdose, and chronic liver disease and cirrhosis) have been increasing over the past 2 decades. However, no large-scale studies have examined geographic patterns of deaths of despair in the U.S. This ecologic study identifies geographic and temporal patterns of individual and co-occurring clusters of deaths of despair. METHODS: All individuals aged ≥10 years who died in the U.S. between 2000 and 2019 and resided within the 48 contiguous states and Washington, District of Columbia were included (N=2,171,105). Causes of death were limited to deaths of despair, namely suicide, drug/alcohol overdose, and chronic liver disease and cirrhosis. Univariate and multivariate space-time scan statistics were used to identify individual and co-occurring clusters with excess risk of deaths of despair. County-level RRs account for heterogeneity within each cluster. Analyses were conducted from late 2021 to early 2022. RESULTS: Six suicide clusters, four overdose clusters, nine liver disease clusters, and three co-occurring clusters of all three types of deaths were identified. A large portion of the western U.S., southeastern U.S., and Appalachia/rust belt were contained within the co-occurring clusters. The co-occurring clusters had average county RRs ranging from 1.17 (p<0.001) in the southeastern U.S. to 4.90 (p<0.001) in the western U.S. CONCLUSIONS: Findings support identifying and targeting risk factors common to all types of deaths of despair when planning public health interventions. Resources and policies that address all deaths of despair simultaneously may be beneficial for the areas contained within the co-occurring high-risk clusters.
Subject(s)
Drug Overdose , Liver Cirrhosis , Liver Diseases , Suicide , Humans , Drug Overdose/mortality , Liver Cirrhosis/mortality , Liver Diseases/mortality , Risk Factors , Southeastern United States , Suicide/statistics & numerical data , United States/epidemiology , Spatio-Temporal AnalysisABSTRACT
OBJECTIVE: To identify potential differential changes in youth suicide deaths associated with the coronavirus disease (COVID-19) pandemic to better inform suicide prevention strategies. METHODS: This cross-sectional study analyzed national suicide data for US youth aged 5 to 24 years from 2015 to 2020. Annual and monthly numbers of suicides were extracted overall and by sex, age, race and ethnicity, and method. Expected suicides were modeled from the trend in monthly deaths before COVID-19 (January 1, 2015-February 29, 2020), by using interrupted time-series analyses with quasi-Poisson regression. Rate ratios (RR) and corresponding 95% confidence intervals (CI) were used to compare expected and observed suicides during the first 10 months of COVID-19 (March 1, 2020-December 31, 2020). RESULTS: Among 5568 identified youth suicides during the 2020 pandemic, 4408 (79.2%) were male, 1009 (18.1%) Hispanic, 170 (3.3%) non-Hispanic American Indian/Alaska Native, 262 (4.7%) Asian/Pacific Islander, 801 (14.4%) Black, and 3321 (59.6%) white. There was a significant increase in overall observed versus expected youth suicides during the COVID-19 pandemic (RR = 1.04, 95% CI = 1.01-1.07), equivalent to an estimated 212 excess deaths. Demographic subgroups including males (RR = 1.05, 95% CI = 1.02-1.08), youth aged 5 to 12 years (RR = 1.20, 95% CI = 1.03-1.41) and 18 to 24 years (RR =1.05, 95% CI = 1.02-1.08), non-Hispanic AI/AN youth (RR = 1.20, 95% CI = 1.03-1.39), Black youth (RR = 1.20, 95% CI = 1.12-1.29), and youth who died by firearms (RR = 1.14, 95% CI = 1.10-1.19) experienced significantly more suicides than expected. CONCLUSIONS: Suicide deaths among US youth increased during COVID-19, with substantial variation by sex, age, race and ethnicity, and suicide method. Suicide prevention strategies must be tailored to better address disparities in youth suicide risk.
Subject(s)
COVID-19 , Suicide , Humans , Male , Adolescent , Female , Pandemics , Cross-Sectional Studies , EthnicityABSTRACT
OBJECTIVE: Individuals with psychosis are at increased risk for suicide, with the greatest risk being present during the first few months after diagnosis. The authors aimed to examine whether treatment initiation within 14 days of diagnosis and treatment engagement within 90 days of initiation reduce the risk for deliberate self-harm (DSH) among individuals with first-episode psychosis (FEP). METHODS: A retrospective longitudinal cohort design was adopted by using Ohio Medicaid claims for 6,349 adolescents and young adults ages 15-24 years with FEP. Logistic regression was used to examine factors associated with treatment initiation and engagement. Cox proportional hazard models were used to estimate the impact of treatment initiation and engagement on DSH. Propensity score weighting was used to control for sociodemographic and clinical covariates. RESULTS: Approximately 70% of the sample initiated treatment, 55% of whom engaged in treatment. Treatment initiation and engagement were associated with both demographic and clinical variables. Treatment initiation significantly reduced the hazard of DSH (average treatment effect in the entire population: hazard ratio [HR]=0.62, 95% CI=0.47-0.81; average treatment effect among those treated: HR=0.64, 95% CI=0.52-0.80). In contrast, treatment engagement was not significantly associated with DSH. CONCLUSIONS: These results suggest that the initial treatment contact is essential for reducing DSH among adolescents and young adults with FEP. Additionally, the finding that treatment engagement did not reduce DSH suggests that standard clinical care may not be sufficient for reducing DSH in this population. These findings highlight the need for suicide-specific interventions for individuals with FEP.
Subject(s)
Psychotic Disorders , Self-Injurious Behavior , Suicide , Adolescent , Young Adult , Humans , Self-Injurious Behavior/epidemiology , Self-Injurious Behavior/therapy , Retrospective Studies , Risk Factors , Psychotic Disorders/drug therapy , Psychotic Disorders/epidemiologyABSTRACT
OBJECTIVE: The authors sought to examine the association between adverse social determinants of health (SDoHs) and risk for self-harm among youths. METHODS: The authors performed a retrospective longitudinal analysis of Ohio Medicaid claims data (April 1, 2016-December 31, 2018) of 244,958 youths (ages 10-17 years) with a primary psychiatric diagnosis. SDoHs were identified from ICD-10 codes and classified into 14 categories, encompassing abuse and neglect, child welfare placement, educational problems, financial problems, exposure to violence, housing instability, legal issues, disappearance or death of a family member, family disruption by separation or divorce, family alcohol or drug use, parent-child conflict, other family problems, social and environmental problems, and nonspecific psychosocial needs. Cox proportional hazards analysis was used to examine the association between SDoHs and self-harm (i.e., nonsuicidal self-injury or suicide attempt). Analyses controlled for demographic characteristics and comorbid psychiatric and general medical conditions. RESULTS: During follow-up after an index claim event, 51,796 youths (21.1%) had at least one adverse SDoH indicator, and 3,262 (1.3%) had at least one self-harm event. Abuse and neglect (hazard ratio [HR]=1.90, 99% CI=1.70-2.12), child welfare placement (HR=1.32, 99% CI=1.04-1.67), parent-child conflict (HR=1.52, 99% CI=1.23-1.87), other family problems (HR=1.25, 99% CI=1.01-1.54), and nonspecific psychosocial needs (HR=1.41, 99% CI=1.06-1.89) were associated with significantly increased hazard of self-harm. CONCLUSIONS: Adverse SDoHs were significantly associated with self-harm, even after controlling for demographic and clinical characteristics, underscoring the need for capturing SDoH information in medical records to identify youths at elevated suicide risk and to inform targeted interventions.
Subject(s)
Mental Disorders , Self-Injurious Behavior , Humans , Child , Adolescent , Retrospective Studies , Social Determinants of Health , Self-Injurious Behavior/diagnosis , Mental Disorders/epidemiology , Mental Disorders/psychology , Suicide, Attempted/psychologyABSTRACT
Background: Adolescents with substance use disorders (SUD) should receive timely access to treatment to improve lifelong outcomes. The Healthcare Effectiveness Data and Information Set (HEDIS) initiation and engagement in treatment (IET) performance measure was intended to promote quality improvement for patients with SUD. Yet, few studies have assessed predictors of measure performance among adolescents or other engagement in mental health services, which is critical to understanding disparities in treatment quality or opportunities for targeted improvement strategies. The present study reports the rates and predictors of IET among adolescents with SUD, as well as receipt of any mental health services. Methods: The sample included adolescents enrolled in Medicaid in 14 states who had a qualifying diagnosis for SUD (2009-2013) and met HEDIS IET performance measure eligibility criteria. Three outcomes were assessed, including initiation of SUD treatment within 14 days of qualifying diagnosis, engagement in SUD treatment (2 or more encounters) within 30 days of initiation, and receipt of any mental health services (1 or more encounters) within 30 days of initiation. Logistic regression was used to identify demographic and clinical characteristics associated with outcomes. Results: Among 20,602 adolescents who met eligibility criteria, 49.5% initiated SUD treatment, 48.5% engaged in SUD treatment, and 70% received any mental health service. Adolescents with higher levels of clinical need (e.g., medical complexity, mental health comorbidity, and multiple SUD diagnoses) had significantly higher odds of initiating, but lower odds of engaging in treatment or receiving any mental health service. Conclusions: To increase the delivery of SUD treatment, efforts should target adolescents with co-occurring mental health needs, many of whom are receiving mental health services after SUD diagnosis. Integrating addiction and mental health services could address these missed opportunities.
Subject(s)
Mental Health Services , Substance-Related Disorders , Adolescent , Comorbidity , Humans , Logistic Models , Medicaid , Substance-Related Disorders/diagnosis , Substance-Related Disorders/epidemiology , Substance-Related Disorders/therapy , United States/epidemiologyABSTRACT
OBJECTIVE: The authors investigated levels of perceived need for help, patterns of mental health service utilization, and barriers to care among US medical students with a focus on students who perceived a need for help but did not report service use in the past 12 months. METHODS: The authors administered an online survey to 2,868 medical students at three schools in Ohio between January and February 2020 including validated scales for psychological distress, self-stigma, and an exploration of mental health treatment. The authors used multivariable logistic regression to identify factors associated with treatment and qualitative analysis to identify common barriers to care. RESULTS: Twenty-eight percent (N = 800) of 2,868 students responded to the survey. Fifty-six percent (n = 439) of students reported a perceived need for help, while 34.6% of these respondents (n = 152) did not receive treatment. Among those with perceived need who completed the survey (n = 388), Asian students compared to non-Hispanic white students (adjusted odds ratio [aOR] = 0.45, 95% confidence interval [CI] 0.25-0.82) and those with higher self-stigma (aOR = 0.90, 95% CI 0.87-0.94) had lower odds of service use. Students told by others to seek help (aOR = 2.82, 95% CI 1.71-4.64) were the only group with higher odds of service use. The most common barriers to care were lack of time, difficulty accessing services, and stigma. CONCLUSIONS: Despite a perceived need for help, many students do not seek care and experience treatment barriers. Schools can encourage help-seeking by identifying students in need, using targeted messaging, fostering a low-stigma environment, and removing barriers.
Subject(s)
Mental Disorders , Mental Health Services , Students, Medical , Humans , Mental Disorders/therapy , Patient Acceptance of Health Care/psychology , Social Stigma , Students, Medical/psychology , Surveys and QuestionnairesABSTRACT
OBJECTIVE: Youth with bipolar disorder (BD) are at high risk for deliberate self-harm (DSH) and suicide. However, research regarding factors associated with DSH, a key suicide risk factor, among youth with BD is limited. In a population-based sample of youth with BD, we therefore investigated associations between demographic, clinical, and service utilization factors and DSH incidence and compared suicide, unintentional injury, and all-cause mortality to the general population. METHOD: We analyzed a retrospective cohort of youth aged 5 to 19 years with a new BD episode between 2010 and 2017 (n = 25,244) using Ohio Medicaid claims and death certificate data. Cox proportional hazards models examined associations between different factors and DSH. Mortality rates were compared to the general population using standardized mortality ratios. RESULTS: During follow-up, 1,517 (6.0%) youth had at least one DSH event. Older index age, female sex, comorbid psychiatric/medical conditions, prior DSH/suicidal ideation, and prior ER mental healthcare were associated with increased DSH risk. Prior DSH was most strongly associated with increased DSH risk for 3 months after a new BD episode. Being non-Hispanic Black (vs. White, non-Hispanic) and prior psychiatric hospitalization were associated with decreased DSH hazard. DSH risk was highest for 3 months after a new BD episode. Suicide, unintentional injury, and all-cause mortality rates were elevated in youth with BD. LIMITATIONS: May not generalize to other states or non-Medicaid populations; claims data cannot distinguish suicidal intent of self-harm CONCLUSION: Early intervention following a new BD episode, particularly among high-risk groups, is key to prevent DSH.
Subject(s)
Bipolar Disorder , Self-Injurious Behavior , Suicide , Adolescent , Adult , Bipolar Disorder/epidemiology , Child , Child, Preschool , Female , Humans , Retrospective Studies , Risk Factors , Self-Injurious Behavior/epidemiology , Self-Injurious Behavior/psychology , Suicidal Ideation , Suicide/psychology , Young AdultABSTRACT
Little is known about the risk factors for deliberate self-harm (DSH) and suicide among adolescents and young adults with first episode psychosis (FEP) and the longitudinal course of DSH following the initial onset of illness. This study identifies risk factors for DSH and suicide death among Medicaid-covered adolescents and young adults with FEP along with the periods of greatest risk for DSH after diagnosis. A retrospective longitudinal cohort analysis was performed using Medicaid claims data merged with death certificate data for 19 422 adolescents and young adults (aged 15-24 years) diagnosed with the onset of FEP between 2010 and 2017. DSH per 1000 person-years and standardized mortality rates for suicide were determined. Hazard ratios of DSH and suicide were estimated by Cox proportional hazard models. During follow-up, 2148 (11.1%) individuals had at least one self-harm event and 22 (0.1%) died by suicide. The hazards of DSH were significantly higher for those with a previous DSH, suicidal ideation, child abuse and neglect, comorbid medical and psychiatric diagnoses, and prior mental health care. The median follow-up time for those who had DSH was 208.0 days (SD: 526.5 days) in adolescents and 108.0 days (SD: 340.0 days) in young adults. Risk of DSH was highest in the first 3 months following FEP. Individuals with FEP are at high risk for self-harm and suicidal behavior, and recognition of who among these individuals and when following illness onset they are at greatest risk may guide more precise clinical recognition and intervention.
Subject(s)
Psychotic Disorders/complications , Self-Injurious Behavior/etiology , Suicide/psychology , Time Factors , Adolescent , Female , Humans , Male , Psychotic Disorders/diagnosis , Psychotic Disorders/psychology , Risk Factors , Self-Injurious Behavior/psychology , Suicide/statistics & numerical data , Young AdultABSTRACT
Importance: More than 50â¯000 youths are incarcerated in the United States on any given day, and youth incarceration has been linked to lasting adverse outcomes, including early mortality. Improving our understanding of the factors associated with early mortality among incarcerated youths can inform appropriate prevention strategies. Objective: To examine mortality rates and causes of death among youths previously incarcerated in the juvenile legal system. Design, Setting, and Participants: This retrospective longitudinal population-based cohort study compared mortality rates between youths aged 11 to 21 years incarcerated from 2010 to 2017 with same-aged nonincarcerated Medicaid-enrolled youths in the state of Ohio. Data from January 2017 to December 2019 were collected from juvenile incarceration, Medicaid, and death certificate information in Ohio. Exposure: Incarceration in the state of Ohio's juvenile legal system. Main Outcomes and Measures: Number, characteristics, and causes of deaths. Poisson regression incidence rate ratios (IRRs) compared mortality rates between previously incarcerated and Medicaid-enrolled youths. Results: Among 3645 incarcerated youths, 3398 (93.2%) were male, 2155 (59.1%) Black, 1307 (35.9%) White, and 183 (5.0%) other race and ethnicity. Overall, 113 youths (3.1%) died during the study period. Homicide was the leading cause of death in formerly incarcerated youths (homicide: 63 [55.8%]; legal intervention [ie, death due to injuries inflicted by law enforcement]: 3 [2.7%]). All-cause mortality rates were significantly higher among previously incarcerated youths than Medicaid-enrolled youths (adjusted IRR [aIRR], 5.91; 95% CI, 4.90-7.13) in every demographic subgroup. Compared with Medicaid-enrolled youths, mortality rates for previously incarcerated youths were highest for homicide (aIRR, 11.02; 95% CI, 8.54-14.22), overdose (aIRR, 4.32; 95% CI, 2.59-7.20), and suicide (aIRR, 4.30; 95% CI, 2.22-8.33). Formerly incarcerated Black youths had a significantly higher risk of homicide (aIRR, 14.24; 95% CI, 4.45-45.63) but a lower risk of suicide (aIRR, 0.18; 95% CI, 0.04-0.89) and overdose (aIRR, 0.31; 95% CI, 0.10-0.99) than White youths who were incarcerated. Previously incarcerated youths aged 15 to 21 years were significantly more likely to die than youths aged 22 to 29 years, irrespective of cause of death (aIRR for youths aged 22-29 years, 0.09; 95% CI, 0.06-0.14). Conclusions and Relevance: In this study, youths with a history of incarceration were significantly more likely to experience early mortality compared with nonincarcerated Medicaid-enrolled youths. Delinquency and violence prevention strategies that incorporate a culturally informed approach and consider sex and developmental level are critical.
Subject(s)
Cause of Death , Juvenile Delinquency , Mortality/trends , Adolescent , Female , Homicide/statistics & numerical data , Humans , Longitudinal Studies , Male , Medicaid , Ohio/epidemiology , Prisoners , Retrospective Studies , United States , Young AdultABSTRACT
Importance: Suicide is the eighth leading cause of death among children aged 5 to 11 years, with rates increasing during the past decade. A better understanding of factors associated with childhood suicide can inform developmentally appropriate prevention strategies. Objective: To examine characteristics and precipitating circumstances of childhood suicide. Design, Setting, and Participants: This qualitative study examined restricted-use data from the National Violent Death Reporting System (NVDRS) regarding child suicide decedents aged 5 to 11 years in the US from 2013 to 2017. The NVDRS is a state-based surveillance system that collects data on suicide and violent deaths in 50 states, with restricted-use data available from 37 states. Details and context related to suicide deaths were identified through a content analysis of case narratives from coroner or medical examiner and law enforcement reports associated with each incident. Exposures: Characteristics and precipitating circumstances associated with suicide cited in the coroner, medical examiner, and law enforcement case narratives. Main Outcomes and Measures: Suicide incidence and risk factors for suicide including mental health, prior suicidal behavior, trauma, and peer, school, or family-related problems. Results: Analyses included 134 child decedents (101 [75.4%] males; 79 [59.0%] White individuals; 109 [81.3%] non-Hispanic individuals; mean [SD] age, 10.6 [0.8] years). Most suicides occurred in the child's home (95.5% [n = 128]), and more specifically in the child's bedroom. Suicide by hanging or suffocation (78.4% [n = 105]) was the most frequent method, followed by firearms (18.7% [n = 25]). Details on gun access were noted in 88.0% (n = 22) of suicides by firearm, and in every case, the child obtained a firearm stored unsafely in the home. Findings revealed childhood suicide was associated with numerous risk factors accumulated over time, and suggest a progression toward suicidal behavior, especially for youth with a history of psychopathology and suicidal behavior. An argument between the child and a family member and/or disciplinary action was often a precipitating circumstance of the suicide. Conclusions and Relevance: This qualitative study found that childhood suicide was associated with multiple risk factors and commonly preceded by a negative precipitating event. Potential prevention strategies include improvements in suicide risk assessment, family relations, and lethal means restriction, particularly safe firearm storage. Future research examining the myriad aspects of childhood suicide, including racial/ethnic and sex differences, is needed.
Subject(s)
Precipitating Factors , Suicide/psychology , Child , Child, Preschool , Female , Humans , Male , Qualitative Research , Risk Factors , Schools/organization & administration , Schools/statistics & numerical data , Suicidal Ideation , Suicide/statistics & numerical data , United States/epidemiology , Suicide PreventionABSTRACT
BACKGROUND AND OBJECTIVES: Depression is common, and suicide rates are increasing. Adolescent depression screening might miss those with unidentified suicide risk. Our primary objective in this study was to compare the magnitude of positive screen results across different approaches. METHODS: From June 2019 to October 2020, 803 mostly Medicaid-enrolled adolescents aged ≥12 years with no recent history of depression or self-harm were screened with the Patient Health Questionnaire-9 Modified for Adolescents (PHQ-9A) and the Ask Suicide-Screening Questions (ASQ) across 12 primary care practices. Two PHQ-9A screening strategies were evaluated: screening for any type of depression or other mental illness (positive on any item) or screening for major depressive disorder (MDD) (total score ≥10). RESULTS: Overall, 56.4% of patients screened positive for any type of depression, 24.7% screened positive for MDD, and 21.1% screened positive for suicide risk. Regardless of PHQ-9A screening strategy, the ASQ identified additional subjects (eg, 2.2% additional cases compared with screening for any type of depression or other mental illness and 8.3% additional cases compared with screening positive for MDD). Of those with ≥6 month follow-up, 22.9% screened positive for any type of depression (n = 205), 35.6% screened positive for MDD (n = 90), and 42.7% with a positive ASQ result (n = 75) had a depression or self-harm diagnosis or an antidepressant prescription. CONCLUSIONS: Suicide risk screening identifies cases not identified by depression screening. In this study, we underscore opportunities and challenges in primary care related to the high prevalence of depression and suicide risk. Research is needed regarding optimal screening strategies and to help clinicians manage the expected number of screening-identified adolescents.