Suicide Screening, Risk Assessment, and Lethal Means Counseling During Zero Suicide Implementation.

OBJECTIVE: The authors measured implementation of Zero Suicide (ZS) clinical practices that support identification of suicide risk and risk mitigation, including screening, risk assessment, and lethal means counseling, across mental health specialty and primary care settings. METHODS: Six health care systems in California, Colorado, Michigan, Oregon, and Washington participated. The sample included members ages ≥13 years from 2010 to 2019 (N=7,820,524 patients). The proportions of patients with suicidal ideation screening, suicide risk assessment, and lethal means counseling were estimated. RESULTS: In 2019, patients were screened for suicidal ideation in 27.1% (range 5.0%-85.0%) of mental health visits and 2.5% (range 0.1%-35.0%) of primary care visits among a racially and ethnically diverse sample (44.9% White, 27.2% Hispanic, 13.4% Asian, and 7.7% Black). More patients screened positive for suicidal ideation in the mental health setting (10.2%) than in the primary care setting (3.8%). Of the patients screening positive for suicidal ideation in the mental health setting, 76.8% received a risk assessment, and 82.4% of those identified as being at high risk received lethal means counseling, compared with 43.2% and 82.4%, respectively, in primary care. CONCLUSIONS: Six health systems that implemented ZS showed a high level of variation in the proportions of patients receiving suicide screening and risk assessment and lethal means counseling. Two opportunities emerged for further study to increase frequency of these practices: expanding screening beyond patients with regular health care visits and implementing risk assessment with lethal means counseling in the primary care setting directly after a positive suicidal ideation screening.

Ethnoracial Disparities in Rates of Non-Natural Causes of Death After the 2020 COVID-19 Outbreak in New York State.

Introduction: COVID-19 was associated with increases in non-natural cause mortality in the U.S., including deaths due to drug overdose, homicide, and motor vehicle crashes. Initial reports indicated higher rates of non-natural mortality among ethnoracial minority groups. This report aims to clarify these disparities by documenting trends in non-natural mortality across ethnoracial groups during the 2020 COVID-19 surge in New York State. Methods: We report monthly trends in non-natural cause mortality (overall and stratified by ethnoracial status) in New York State from January 2019 through December 2020, which included the COVID-19 onset in March 2020. Results: Total mean monthly unintentional overdose rates per 100,000 increased from 17.45 (before surge: January 2019-February 2020) to 23.19 (after surge: March 2020-December 2020) (mean difference=5.73, 95% CI=3.82, 7.65; p<0.001). Mean monthly homicide death rates increased from 2.34 before surge to 3.55 after surge (mean difference=1.20, 95% CI=0.60, 1.81; p<0.001), with the increase seen primarily in the non-Latinx Black population. Although increasing unintentional overdose death rates before surge equally affected non-Latinx White, Latinx, and non-Latinx Black persons, they remained high for non-Latinx Black persons but dropped for the other 2 groups after the pandemic onset. None of the ethnoracial subgroups showed significant increases in suicide or motor vehicle crash death rates. Conclusions: Non-Latinx Black persons showed disproportionately high and sustained increased rates of unintentional overdose and homicide death rates after the 2020 COVID-19 surge in New York State. Fatality review and death scene investigation research is needed to better understand these disparities.

Towards a youth mental health paradigm: a perspective and roadmap.

Most mental disorders have a typical onset between 12 and 25 years of age, highlighting the importance of this period for the pathogenesis, diagnosis, and treatment of mental ill-health. This perspective addresses interactions between risk and protective factors and brain development as key pillars accounting for the emergence of psychopathology in youth. Moreover, we propose that novel approaches towards early diagnosis and interventions are required that reflect the evolution of emerging psychopathology, the importance of novel service models, and knowledge exchange between science and practitioners. Taken together, we propose a transformative early intervention paradigm for research and clinical care that could significantly enhance mental health in young people and initiate a shift towards the prevention of severe mental disorders.

Opioid Prescribing and Suicide Risk in the United States.

OBJECTIVE: This study estimates associations of regional change in opioid prescribing with total suicide deaths and suicide overdose deaths involving opioids. METHODS: A panel analysis was performed with 2009-2017 U.S. national IQVIA Longitudinal Prescription Database data and National Center for Health Statistics mortality data aggregated into commuting zones (N=886), which together span the United States. Opioid prescription exposures included opioid prescriptions per capita and percentages of patients with any opioid prescription, with high-dose prescriptions (>120 mg of morphine equivalents), with long-term prescriptions (≥60 consecutive days), and with prescriptions from three or more prescribers. Linear regression models were used with year and commuting zone fixed effects. RESULTS: Suicide deaths were significantly positively associated with opioid prescriptions per capita (ß=0.045), having any opioid prescription (ß=0.069), having high-dose prescriptions (ß=0.024), having long-term prescriptions (ß=0.028), and having three or more opioid prescribers (ß=0.046). Similar significant associations were observed between each of the five opioid prescription measures and suicide overdose deaths involving opioids (ß range, 0.029-0.042). However, opioid prescriptions per capita, having any opioid prescription, and having three or more opioid prescribers were each negatively associated with unintentional opioid-related deaths in people in the 10- to 24-year and 25- to 44-year age groups. CONCLUSIONS: In this retrospective study of U.S. commuting zone-level opioid prescriptions and mortality, regional decreases in opioid prescriptions were consistently associated with declines in total suicide deaths, including suicide overdose deaths involving opioids. For some opioid prescribing measures, negative associations were observed with unintentional overdose deaths involving opioids among younger people. Individual-level inferences are limited by the ecological nature of the analysis.

A patient-centered nurse-supported primary care-based collaborative care program to treat opioid use disorder and depression: Design and protocol for the MI-CARE randomized controlled trial.

BACKGROUND: Opioid use disorder (OUD) contributes to rising morbidity and mortality. Life-saving OUD treatments can be provided in primary care but most patients with OUD don't receive treatment. Comorbid depression and other conditions complicate OUD management, especially in primary care. The MI-CARE trial is a pragmatic randomized encouragement (Zelen) trial testing whether offering collaborative care (CC) to patients with OUD and clinically-significant depressive symptoms increases OUD medication treatment with buprenorphine and improves depression outcomes compared to usual care. METHODS: Adult primary care patients with OUD and depressive symptoms (n ≥ 800) from two statewide health systems: Kaiser Permanente Washington and Indiana University Health are identified with computer algorithms from electronic Health record (EHR) data and automatically enrolled. A random sub-sample (50%) of eligible patients is offered the MI-CARE intervention: a 12-month nurse-driven CC intervention that includes motivational interviewing and behavioral activation. The remaining 50% of the study cohort comprise the usual care comparison group and is never contacted. The primary outcome is days of buprenorphine treatment provided during the intervention period. The powered secondary outcome is change in Patient Health Questionnaire (PHQ)-9 depression scores. Both outcomes are obtained from secondary electronic healthcare sources and compared in "intent-to-treat" analyses. CONCLUSION: MI-CARE addresses the need for rigorous encouragement trials to evaluate benefits of offering CC to generalizable samples of patients with OUD and mental health conditions identified from EHRs, as they would be in practice, and comparing outcomes to usual primary care. We describe the design and implementation of the trial, currently underway. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05122676. Clinical trial registration date: November 17, 2021.

Mental Health Service Use Among Lesbian, Gay, and Bisexual Adults Who Report Having Attempted Suicide.

OBJECTIVE: This study estimated mental health service use among lesbian, gay, and bisexual (LGB) adults in the United States who reported having made a suicide attempt. METHODS: Data came from the pooled 2015-2019 National Surveys on Drug Use and Health. Of the 191,954 adult respondents, 1,946 reported a past-year suicide attempt. Survey-weighted descriptive and regression analyses were conducted to compare mental health service use among LGB and heterosexual adults. RESULTS: Three percent of LGB adults (N=598) reported having attempted suicide in the past year, compared with 0.5% of heterosexual adults (N=1,348). Mental health treatment use was significantly higher among LGB adults than among heterosexual adults (64% versus 56%) before analyses were adjusted for sociodemographic characteristics. CONCLUSIONS: Because suicide attempts and mental health use are elevated among LGB adults, clinicians must provide evidence-based approaches for identifying and managing suicide risk to LGB adults in an affirming manner.

Population-Based Opioid Prescribing and Overdose Deaths in the USA: an Observational Study.

BACKGROUND: Rising opioid-related death rates have prompted reductions of opioid prescribing, yet limited data exist on population-level associations between opioid prescribing and opioid-related deaths. OBJECTIVE: To evaluate population-level associations between five opioid prescribing measures and opioid-related deaths. DESIGN: An ecological panel analysis was performed using linear regression models with year and commuting zone fixed effects. PARTICIPANTS: People ≥10 years aggregated into 886 commuting zones, which are geographic regions collectively comprising the entire USA. MAIN MEASURES: Annual opioid prescriptions were measured with IQVIA Real World Longitudinal Prescription Data including 76.5% (2009) to 90.0% (2017) of US prescriptions. Prescription measures included opioid prescriptions per capita, percent of population with ≥1 opioid prescription, percent with high-dose prescription, percent with long-term prescription, and percent with opioid prescriptions from ≥3 prescribers. Outcomes were age- and sex-standardized associations of change in opioid prescriptions with change in deaths involving any opioids, synthetics other than methadone, heroin but not synthetics or methadone, and prescription opioids, but not other opioids. KEY RESULTS: Change in total regional opioid-related deaths was positively correlated with change in regional opioid prescriptions per capita (ß=.110, p<.001), percent with ≥1 opioid prescription (ß=.100, p=.001), and percent with high-dose prescription (ß=.081, p<.001). Change in total regional deaths involving prescription opioids was positively correlated with change in all five opioid prescribing measures. Conversely, change in total regional deaths involving synthetic opioids was negatively correlated with change in percent with long-term opioid prescriptions and percent with ≥3 prescribers, but not for persons ≥45 years. Change in total regional deaths in heroin was not associated with change in any prescription measure. CONCLUSIONS: Regional decreases in opioid prescriptions were associated with declines in overdose deaths involving prescription opioids, but were also associated with increases in deaths involving synthetic opioids (primarily fentanyl). Individual-level inferences are limited by the ecological nature of the analysis.

Accuracy of ICD-10-CM encounter diagnoses from health records for identifying self-harm events.

OBJECTIVE: Assess the accuracy of ICD-10-CM coding of self-harm injuries and poisonings to identify self-harm events. MATERIALS AND METHODS: In 7 integrated health systems, records data identified patients reporting frequent suicidal ideation. Records then identified subsequent ICD-10-CM injury and poisoning codes indicating self-harm as well as selected codes in 3 categories where uncoded self-harm events might be found: injuries and poisonings coded as undetermined intent, those coded accidental, and injuries with no coding of intent. For injury and poisoning encounters with diagnoses in those 4 groups, relevant clinical text was extracted from records and assessed by a blinded panel regarding documentation of self-harm intent. RESULTS: Diagnostic codes selected for review include all codes for self-harm, 43 codes for undetermined intent, 26 codes for accidental intent, and 46 codes for injuries without coding of intent. Clinical text was available for review for 285 events originally coded as self-harm, 85 coded as undetermined intent, 302 coded as accidents, and 438 injury events with no coding of intent. Blinded review of full-text clinical records found documentation of self-harm intent in 254 (89.1%) of those originally coded as self-harm, 24 (28.2%) of those coded as undetermined, 24 (7.9%) of those coded as accidental, and 48 (11.0%) of those without coding of intent. CONCLUSIONS: Among patients at high risk, nearly 90% of injuries and poisonings with ICD-10-CM coding of self-harm have documentation of self-harm intent. Reliance on ICD-10-CM coding of intent to identify self-harm would fail to include a small proportion of true self-harm events.

Clinical Pathway for Suicide Risk Screening in Adult Primary Care Settings: Special Recommendations.

Suicide is a serious public health concern. On average, 80% of suicide decedents had contact with primary care within 1 year of their suicide. This and other research underscore the importance of screening for suicide risk within primary care settings, and implementation of suicide risk screening is already underway in many practices. However, while primary care practices may be familiar with screening for other mental health concerns (e.g., depression), many feel uncomfortable or unprepared for suicide risk screening. To meet the increasing demand for evidence-based suicide-risk-screening guidance, we provide a clinical pathway for adult primary care practices (to include family medicine, internal medicine, women's health). The pathway was developed by experts with research, clinical expertise, and experience in suicide risk screening and primary care. We also provide detailed guidance to aid primary care practices in their decisions about how to implement the clinical pathway.

Acute injury mortality and all-cause mortality following emergency department presentation for alcohol use disorder.

BACKGROUND: Alcohol-related morbidity and mortality have increased substantially in the U.S. Understanding the population health implications of these concerning trends, including by identifying clinical subgroups of alcohol users at increased risk for potentially preventable acute causes of mortality, is of critical importance. METHODS: This retrospective cohort study used statewide, all-payer, longitudinally-linked ED patient record and mortality data from California. Participants comprised all residents presenting to a licensed ED at least once in 2009-2011 with a diagnosis of alcohol use disorder (AUD). Participants were followed for one year after index ED visit to assess acute injury (unintentional poisoning, suicide, homicide, motor vehicle crash, and fall- or fire-related injury) and all-cause mortality rates per 100,000 person-years. Age-, sex-, race/ethnicity-adjusted standardized mortality rates (SMRs) for acute injury causes of death were determined using statewide mortality data. RESULTS: Among 437,855 patients with index non-fatal ED visits for AUD, the 12-month acute injury mortality rate was 608.6 per 100,000 (SMR=8.0; 95% CI=7.7, 8.3), and all-cause mortality was 5700.7 per 100,000 (SMR=6.5; 95% CI=6.4, 6.6). Unintentional poisoning accounted for 46.5%, and suicide for 19.7%, of acute-injury deaths. Acute injury deaths comprised 71.7% of all-cause mortality among patients aged 10-24 years, but much lower proportions among older patients. Female AUD patients had lower rates for all mortality outcomes. CONCLUSIONS: Emergency department patients with a recognized AUD comprise a population at persistently elevated risk for mortality. Age-related AUD patient differences in common causes of death, including drug overdose and suicide, can inform the structure of future clinical interventions.

Implementing Suicide Risk Screening in a Pediatric Primary Care Setting: From Research to Practice.

OBJECTIVE: To describe the methodological development and feasibility of real-world implementation of suicide risk screening into a pediatric primary care setting. METHODS: A suicide risk screening quality improvement project (QIP) was implemented by medical leadership from a suburban-based pediatric (ages 12-25 years) primary care practice in collaboration with a National Institute of Mental Health (NIMH) suicide prevention research team. A pilot phase to acclimate office staff to screening procedures preceded data collection. A convenience sample of 271 pediatric medical outpatients was screened for suicide risk. Patients, their parents, and medical staff reported their experiences and opinions of the screening procedures. RESULTS: Thirty-one (11.4%) patients screened positive for suicide risk, with 1 patient endorsing imminent suicide risk (3% of positive screens; 0.4% of total sample). Over half of the patients who screened positive reported a past suicide attempt. Most patients, parents, and medical staff supported the implementation of suicide risk screening procedures into standard care. A mental health clinical pathway for suicide risk screening in outpatient settings was developed to provide outpatient medical settings with guidance for screening. CONCLUSIONS: Screening for suicide risk in pediatric primary care is feasible and acceptable to patients, their families, and medical staff. A clinical pathway used as guidance for pediatric health care providers to implement screening programs can aid with efficiently detecting and managing patients who are at risk for suicide.

Suicidality Among Sexual Minority Adults: Gender, Age, and Race/Ethnicity Differences.

INTRODUCTION: Lesbian, gay, and bisexual individuals have elevated suicide risk, but there is little information available about how this risk may vary by gender, age, and race/ethnicity. METHODS: This study examined past-year suicide thoughts, plans, and attempts among adult respondents to the 2015-2019 National Surveys on Drug Use and Health (pooled N=191,954). Logistic regression was used to examine the differences between lesbian, gay, and bisexual and heterosexual adults for each outcome, once by gender and age category and once by gender and race/ethnicity category, while controlling for core sociodemographic characteristics. Race/ethnicity and age differences were also estimated within sexual identity groups. RESULTS: Suicide thoughts, plans, and attempts were more common among lesbian, gay, and bisexual adults in almost every age and race/ethnicity category relative to that among corresponding heterosexual adults. In some age and race/ethnicity categories, bisexual women were more likely to report suicidal thoughts than lesbian/gay women. Each outcome decreased significantly across age groups among women of all sexual identity groups and heterosexual men; yet, this age effect was less pronounced among gay and bisexual men. Black women had significantly lower rates of suicidal thoughts and plans than White women in all sexual identity groups. CONCLUSIONS: In light of consistently elevated rates of suicide thoughts and behaviors, lesbian, gay, and bisexual adults may expressly benefit from enhanced prevention, identification, and treatment of suicide risk. Additional research is needed to assess the associations between sexual identity and suicide mortality as well as to understand the heterogeneity in suicide risk among lesbian, gay, and bisexual youth, particularly by race/ethnicity.

Suicide Risk Among Hospitalized Versus Discharged Deliberate Self-Harm Patients: Generalized Random Forest Analysis Using a Large Claims Data Set.

INTRODUCTION: Suicide rates are extremely high among emergency department patients seen for deliberate self-harm. Inpatient hospitalization is often recommended for these patients, but evidence on the suicide prevention impacts of hospitalization is scarce. Confounding by indication and challenges to implementing randomized designs are barriers to advances in this field. METHODS: Investigators used 2009-2012 statewide data on 57,312 self-harm emergency department patients from California, linked to mortality records. Naive 12-month and 30-day suicide risks were estimated among patients who were hospitalized versus those who were discharged. Then, generalized random forest methods were applied to estimate the average treatment impacts of hospitalization on suicide, conditioning on observable covariates. Associations were calculated separately for sex- and age-specific subgroups. Analyses were conducted in February 2019-August 2021. RESULTS: In naive analyses, suicide risk was significantly higher in hospitalized than in discharged patients in each subgroup. In 12-month models accounting for the observed covariates through generalized random forest methods, hospitalized male patients had 5.4 more suicides per 1,000 patients (95% CI=3.0, 7.8), hospitalized patients aged 10-29 years had 2.4 more suicides per 1,000 (95% CI=1.1, 3.6), and those aged ≥50 years had 5.8 more suicides per 1,000 (95% CI=0.5, 11.2) than corresponding discharged patients. Hospitalization was not significantly associated with suicide among female patients or patients aged 30-49 years in generalized random forest analyses. Patterns were similar in 30-day generalized random forest models. CONCLUSIONS: Emergency department personnel intend to hospitalize self-harm patients with high suicide risk; this study suggests that this goal is largely realized. Analyses that control for confounding by observable covariates did not find clear evidence that hospitalization reduces suicide risk and could not rule out the possibility of iatrogenic effects.

Evaluation of the Recovery Engagement and Coordination for Health-Veterans Enhanced Treatment Suicide Risk Modeling Clinical Program in the Veterans Health Administration.

Importance: The Veterans Health Administration (VHA) implemented a national clinical program using a suicide risk prediction algorithm, Recovery Engagement and Coordination for Health-Veterans Enhanced Treatment (REACH VET), in which clinicians facilitate care enhancements for individuals identified in local top 0.1% suicide risk tiers. Evaluation studies are needed. Objective: To determine associations with treatment engagement, health care utilization, suicide attempts, safety plan documentation, and 6-month mortality. Design, Setting, and Participants: This cohort study used triple differences analyses comparing 6-month changes in outcomes after vs before program entry for individuals entering the REACH VET program (March 2017-December 2018) vs a similarly identified top 0.1% suicide risk tier cohort from prior to program initiation (March 2014-December 2015), adjusting for trends across subthreshold cohorts. Subcohort analyses (including individuals from March 2017-June 2018) evaluated difference-in-differences for cause-specific mortality using death certificate data. The subthreshold cohorts included individuals in the top 0.3% to 0.1% suicide risk tier, below the threshold for REACH VET eligibility, from the concurrent REACH VET period and from the pre-REACH VET period. Data were analyzed from December 2019 through September 2021. Exposures: REACH VET-designated clinicians treatment reevaluation and outreach for care enhancements, including safety planning, increased monitoring, and interventions to enhance coping. Main Outcomes and Measures: Process outcomes included VHA scheduled, completed, and missed appointments; mental health visits; and safety plan documentation and documentation within 6 months for individuals without plans within the prior 2 years. Clinical outcomes included mental health admissions, emergency department visits, nonfatal suicide attempts, and all-cause, suicide, and nonsuicide external-cause mortality. Results: A total of 173 313 individuals (mean [SD] age, 51.0 [14.7] years; 161 264 [93.1%] men and 12 049 [7.0%] women) were included in analyses, including 40 816 individuals eligible for REACH VET care and 36 604 individuals from the pre-REACH VET period in the top 0.1% of suicide risk. The REACH VET intervention was associated with significant increases in completed outpatient appointments (adjusted triple difference [ATD], 0.31; 95% CI, 0.06 to 0.55) and proportion of individuals with new safety plans (ATD, 0.08; 95% CI, 0.06 to 0.10) and reductions in mental health admissions (ATD, -0.08; 95% CI, -0.10 to -0.05), emergency department visits (ADT, -0.03; 95% CI, -0.06 to -0.01), and suicide attempts (ADT, -0.05; 95% CI, -0.06 to -0.03). Subcohort analyses did not identify differences in suicide or all-cause mortality (eg, age-and-sex-adjusted difference-in-difference for suicide mortality, 0.0007; 95% CI, -0.0006 to 0.0019). Conclusions and Relevance: These findings suggest that REACH VET implementation was associated with greater treatment engagement and new safety plan documentation and fewer mental health admissions, emergency department visits, and suicide attempts. Clinical programs using risk modeling may be effective tools to support care enhancements and risk reduction.

An implementation evaluation of "Zero Suicide" using normalization process theory to support high-quality care for patients at risk of suicide.

BACKGROUND: Suicide rates continue to rise across the United States, galvanizing the need for increased suicide prevention and intervention efforts. The Zero Suicide (ZS) model was developed in response to this need and highlights four key clinical functions of high-quality health care for patients at risk of suicide. The goal of this quality improvement study was to understand how six large health care systems operationalized practices to support these functions-identification, engagement, treatment and care transitions. METHODS: Using a key informant interview guide and data collection template, researchers who were embedded in each health care system cataloged and summarized current and future practices supporting ZS, including, (1) the function addressed; (2) a description of practice intent and mechanism of intervention; (3) the target patient population and service setting; (4) when/how the practice was (or will be) implemented; and (5) whether/how the practice was documented and/or measured. Normalization process theory (NPT), an implementation evaluation framework, was applied to help understand how ZS had been operationalized in routine clinical practices and, specifically, what ZS practices were described by key informants (coherence), the current state of norms/conventions supporting these practices (cognitive participation), how health care teams performed these practices (collective action), and whether/how practices were measured when they occurred (reflexive monitoring). RESULTS: The most well-defined and consistently measured ZS practices (current and future) focused on the identification of patients at high risk of suicide. Stakeholders also described numerous engagement and treatment practices, and some practices intended to support care transitions. However, few engagement and transition practices were systematically measured, and few treatment practices were designed specifically for patients at risk of suicide. CONCLUSIONS: The findings from this study will support large-scale evaluation of the effectiveness of ZS implementation and inform recommendations for implementation of high-quality suicide-related care in health care systems nationwide.

Reconciling Statistical and Clinicians' Predictions of Suicide Risk.

Statistical models, including those based on electronic health records, can accurately identify patients at high risk for a suicide attempt or death, leading to implementation of risk prediction models for population-based suicide prevention in health systems. However, some have questioned whether statistical predictions can really inform clinical decisions. Appropriately reconciling statistical algorithms with traditional clinician assessment depends on whether predictions from these two methods are competing, complementary, or merely duplicative. In June 2019, the National Institute of Mental Health convened a meeting, "Identifying Research Priorities for Risk Algorithms Applications in Healthcare Settings to Improve Suicide Prevention." Here, participants of this meeting summarize key issues regarding the potential clinical application of suicide prediction models. The authors attempt to clarify the key conceptual and technical differences between traditional risk prediction by clinicians and predictions from statistical models, review the limited evidence regarding both the accuracy of and the concordance between these alternative methods of prediction, present a conceptual framework for understanding agreement and disagreement between statistical and clinician predictions, identify priorities for improving data regarding suicide risk, and propose priority questions for future research. Future suicide risk assessment will likely combine statistical prediction with traditional clinician assessment, but research is needed to determine the optimal combination of these two methods.