Prevalence of self-inflicted injuries among transgender and gender diverse adolescents and young adults compared to their peers: an examination of interaction with mental health morbidity.

PURPOSE: Compare occurrence of self-inflicted injuries among transgender and gender diverse (TGD) youth to that of their cisgender peers while accounting for mental health diagnoses. METHODS: Review of electronic health records from three integrated health care systems identified 1087 transfeminine and 1431 transmasculine adolescents and young adults. Poisson regression was used to calculate prevalence ratios comparing the proportion of TGD participants with at least one self-inflicted injury (a surrogate for suicide attempt) before index date (first evidence of TGD status) to the corresponding proportions in presumed cisgender male and female referents matched on age, race/ethnicity, and health plan. Interactions between gender identities and mental health diagnoses were assessed on multiplicative and additive scales. RESULTS: TGD adolescents and young adults were more likely to have a self-inflicted injury, various mental health diagnoses, and multiple mental health diagnoses than their cisgender peers. The prevalence of self-inflicted injuries among TGD adolescents and young adults was high even in the absence of mental health diagnoses. Results were consistent with positive additive interaction and negative multiplicative interaction. CONCLUSIONS: Universal suicide prevention efforts for all youth, including those with no mental health diagnoses, and more intensive suicide prevention efforts for TGD adolescents and young adults and those with at least one mental health diagnosis are warranted.

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.

Suicide Deaths Before and During the Coronavirus Disease 2019 Pandemic: An Interrupted Time-series Study.

INTRODUCTION: With stressors that are often associated with suicide increasing during the coronavirus disease 2019 (COVID-19) pandemic, there has been concern that suicide mortality rates may also be increasing. Our objective was to determine whether suicide mortality rates increased during the COVID-19 pandemic. METHODS: We conducted an interrupted time-series study using data from January 2019 through December 2020 from 2 large integrated health care systems. The population at risk included all patients or individuals enrolled in a health plan at HealthPartners in Minnesota or Henry Ford Health System in Michigan. The primary outcome was change in suicide mortality rates, expressed as annualized crude rates of suicide death per 100,000 people in 10 months following the start of the pandemic in March 2020 compared with the 14 months prior. RESULTS: There were 6,434,675 people at risk in the sample, with 55% women and a diverse sample across ages, race/ethnicity, and insurance type. From January 2019 through February 2020, there was a slow increase in the suicide mortality rate, with rates then decreasing by 0.45 per 100,000 people per month from March 2020 through December 2020 (SE=0.19, P=0.03). CONCLUSIONS: Overall suicide mortality rates did not increase with the pandemic, and in fact slightly declined from March to December 2020. Our findings should be confirmed across other settings and, when available, using final adjudicated state mortality data.

Suicide Attempts Among a Cohort of Transgender and Gender Diverse People.

INTRODUCTION: Transgender and gender diverse people often face discrimination and may experience disproportionate emotional distress that leads to suicide attempts. Therefore, it is essential to estimate the frequency and potential determinants of suicide attempts among transgender and gender diverse individuals. METHODS: Longitudinal data on 6,327 transgender and gender diverse individuals enrolled in 3 integrated healthcare systems were analyzed to assess suicide attempt rates. Incidence was compared between transmasculine and transfeminine people by age and race/ethnicity and according to mental health status at baseline. Cox proportional hazards models examined rates and predictors of suicide attempts during follow-up. Data were collected in 2016, and analyses were conducted in 2019. RESULTS: During follow-up, 4.8% of transmasculine and 3.0% of transfeminine patients had at least 1 suicide attempt. Suicide attempt rates were more than 7 times higher among patients aged <18 years than among those aged >45 years, more than 3 times higher among patients with previous history of suicide ideation or suicide attempts than among those with no such history, and 2-5 times higher among those with 1-2 mental health diagnoses and more than 2 mental health diagnoses at baseline than among those with none. CONCLUSIONS: Among transgender and gender diverse individuals, younger people, people with previous suicidal ideation or attempts, and people with multiple mental health diagnoses are at a higher risk for suicide attempts. Future research should examine the impact of gender-affirming healthcare use on the risk of suicide attempts and identify targets for suicide prevention interventions among transgender and gender diverse people in clinical settings.

Substance use disorders and risk of suicide in a general US population: a case control study.

BACKGROUND: Prior research suggests that substance use disorders (SUDs) are associated with risk of suicide mortality, but most previous work has been conducted among Veterans Health Administration patients. Few studies have examined the relationship between SUDs and suicide mortality in general populations. Our study estimates the association of SUDs with suicide mortality in a general US population of men and women who receive care across eight integrated health systems. METHODS: We conducted a case-control study using electronic health records and claims data from eight integrated health systems of the Mental Health Research Network. Participants were 2674 men and women who died by suicide between 2000-2013 and 267,400 matched controls. The main outcome was suicide mortality, assessed using data from the health systems and confirmed by state death data systems. Demographic and diagnostic data on substance use disorders and other health conditions were obtained from each health system. First, we compared descriptive statistics for cases and controls, including age, gender, income, and education. Next, we compared the rate of each substance use disorder category for cases and controls. Finally, we used conditional logistic regression models to estimate unadjusted and adjusted odds of suicide associated with each substance use disorder category. RESULTS: All categories of substance use disorders were associated with increased risk of suicide mortality. Adjusted odds ratios ranged from 2.0 (CI 1.7, 2.3) for patients with tobacco use disorder only to 11.2 (CI 8.0, 15.6) for patients with multiple alcohol, drug, and tobacco use disorders. Substance use disorders were associated with increased relative risk of suicide for both women and men across all categories, but the relative risk was more pronounced in women. CONCLUSIONS: Substance use disorders are associated with significant risk of suicide mortality, especially for women, even after controlling for other important risk factors. Experiencing multiple substance use disorders is particularly risky. These findings suggest increased suicide risk screening and prevention efforts for individuals with substance use disorders are needed.

A Brief Mindfulness Intervention for Medically Hospitalized Patients with Acute Pain: A Pilot Randomized Clinical Trial.

OBJECTIVE: Mindfulness interventions may be beneficial for patients with chronic pain; however, the effects for acute pain are not understood. The purpose of this study was to pilot test a brief mindfulness intervention for acute pain and stress for patients in an inpatient medical setting. DESIGN: Pilot randomized clinical trial. SETTING: An inpatient Acute Care Surgery service at an urban hospital. SUBJECTS: Sixty patients with acute pain were randomly selected and agreed to participate. METHODS: Interested patients consented to the study and were randomized to the 10-minute intervention (i.e., mindfulness strategy) or comparison group (i.e., education on the Gate Control Theory of Pain). Participants completed pre- and post-assessment measures on pain severity and stress. RESULTS: Preliminary results showed that within the intervention and comparison groups, participants experienced decreases in pain from pre- to post-intervention (P = 0.002 and 0.005, respectively). Within the intervention group, there was a significant decrease in stress from pre- to post-intervention (P = 0.001). There were no significant changes for stress within the comparison group (P = 0.32). There were no significant differences between the intervention and comparison groups for pain (P = 0.44) or stress (P = 0.07) at post-intervention, although Cohen's d effect sizes were small to medium for pain and stress, respectively. CONCLUSIONS: A brief mindfulness intervention for medically hospitalized patients with acute pain may decrease pain and stress. Future research should examine this intervention with a fully powered, larger sample to examine efficacy.

Treating pain in primary care: Optimizing an integrated psychological intervention based on perspectives of psychologists, primary care providers, and patients.

INTRODUCTION: Although behavioral health treatment can improve distress and pain functioning for patients with chronic pain, few who are referred by their primary care physician will see a behavioral health specialist. Given the benefits of integrating behavioral health into primary care, this may be an avenue for delivering a psychological intervention for chronic pain. The purpose of this study was to optimize a psychological intervention for patients with chronic pain to be delivered in primary care, utilizing the perspectives of providers and patients. METHOD: Psychologists (n = 9), primary care providers (n = 9), and patients with chronic pain (n = 9) participated in separate focus groups. Participants reviewed the proposed 4-session intervention, provided feedback prompted by a set of open-ended questions, and completed a survey. RESULTS: Statements from focus groups were transcribed and coded into 2 thematic categories: (a) content of the intervention and (b) logistics and design. Participants believed that offering a brief, behavioral intervention for chronic pain in a primary care clinic was feasible and useful. All providers (100%) agreed or strongly agreed that they would refer a patient to this intervention, and 100% of patients agreed or strongly agreed that they would participate. DISCUSSION: Feedback solicited from the focus groups led to alterations to the treatment manual, such as adding a fifth session, using different psychological strategies, and logistical changes in delivery (i.e., meeting biweekly and intervisit contacts). The modified version of this intervention will be evaluated with a pilot randomized controlled clinical trial. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Patient characteristics associated with treatment initiation and engagement among individuals diagnosed with alcohol and other drug use disorders in emergency department and primary care settings.

Background: Treatment initiation and engagement rates for alcohol and other drug (AOD) use disorders differ depending on where the AOD use disorder was identified. Emergency department (ED) and primary care (PC) are 2 common settings where patients are identified; however, it is unknown whether characteristics of patients who initiate and engage in treatment differ between these settings. Methods: Patients identified with an AOD disorder in ED or PC settings were drawn from a larger study that examined Healthcare Effectiveness Data and Information Set (HEDIS) AOD treatment initiation and engagement measures across 7 health systems using electronic health record data (n = 54,321). Multivariable generalized linear models, with a logit link, clustered on health system, were used to model patient factors associated with initiation and engagement in treatment, between and within each setting. Results: Patients identified in the ED had higher odds of initiating treatment than those identified in PC (adjusted odds ratio [aOR] = 1.89, 95% confidence interval [CI] = 1.73-2.07), with no difference in engagement between the settings. Among those identified in the ED, compared with patients aged 18-29, older patients had higher odds of treatment initiation (age 30-49: aOR = 1.25, 95% CI = 1.12-1.40; age 50-64: aOR = 1.42, 95% CI = 1.26-1.60; age 65+: aOR = 1.27, 95% CI = 1.08-1.49). However, among those identified in PC, compared with patients aged 18-29, older patients were less likely to initiate (age 30-49: aOR = 0.81, 95% CI = 0.71-0.94; age 50-64: aOR = 0.68, 95% CI = 0.58-0.78; age 65+: aOR = 0.47, 95% CI = 0.40-0.56). Women identified in ED had lower odds of initiating treatment (aOR = 0.80, 95% CI = 0.72-0.88), whereas sex was not associated with treatment initiation in PC. In both settings, patients aged 65+ had lower odds of engaging compared with patients aged 18-29 (ED: aOR = 0.61, 95% CI = 0.38-0.98; PC: aOR = 0.42, 95% CI = 0.26-0.68). Conclusion: Initiation and engagement in treatment differed by sex and age depending on identification setting. This information could inform tailoring of future AOD interventions.

The prevalence of Healthcare Effectiveness Data and Information Set (HEDIS) initiation and engagement in treatment among patients with cannabis use disorders in 7 US health systems.

Background: Cannabis use disorders (CUDs) have increased with more individuals using cannabis, yet few receive treatment. Health systems have adopted the Healthcare Effectiveness Data and Information Set (HEDIS) quality measures of initiation and engagement in alcohol and other drug (AOD) dependence treatment, but little is known about the performance of these among patients with CUDs. Methods: This cohort study utilized electronic health records and claims data from 7 health care systems to identify patients with documentation of a new index CUD diagnosis (no AOD diagnosis ≤60 days prior) from International Classification of Diseases, Ninth revision, codes (October 1, 2014, to August 31, 2015). The adjusted prevalence of each outcome (initiation, engagement, and a composite of both) was estimated from generalized linear regression models, across index identification settings (inpatient, emergency department, primary care, addiction treatment, and mental health/psychiatry), AOD comorbidity (patients with CUD only and CUD plus other AOD diagnoses), and patient characteristics. Results: Among 15,202 patients with an index CUD diagnosis, 30.0% (95% confidence interval [CI]: 29.2-30.7%) initiated, 6.9% (95% CI: 6.2-7.7%) engaged among initiated, and 2.1% (95% CI: 1.9-2.3%) overall both initiated and engaged in treatment. The adjusted prevalence of outcomes varied across index identification settings and was highest among patients diagnosed in addiction treatment, with 25.0% (95% CI: 22.5-27.6%) initiated, 40.9% (95% CI: 34.8-47.0%) engaged, and 12.5% (95% CI: 10.0-15.1%) initiated and engaged. The adjusted prevalence of each outcome was generally highest among patients with CUD plus other AOD diagnosis at index diagnosis compared with those with CUD only, overall and across index identification settings, and was lowest among uninsured and older patients. Conclusion: Among patients with a new CUD diagnosis, the proportion meeting HEDIS criteria for initiation and/or engagement in AOD treatment was low and demonstrated variation across index diagnosis settings, AOD comorbidity, and patient characteristics, pointing to opportunities for improvement.

Self-Reported Suicidal Ideation as a Predictor of Suicidal Behavior Among Outpatients With Diagnoses of Psychotic Disorders.

OBJECTIVE: Individuals with psychotic disorders are at high risk of suicidal behavior. The study examined whether response to item 9 of the Patient Health Questionnaire (PHQ-9), which asks about thoughts of death or self-harm, predicts suicidal behavior among outpatients with diagnoses of psychotic disorders. METHODS: Electronic health records (EHRs) from seven large integrated health systems were used to identify all outpatient visits by adults with a diagnosis of schizophrenia spectrum psychosis or unspecified psychosis from January 1, 2009, to June 30, 2015, during which a PHQ-9 was completed (N=32,982 visits by 5,947 patients). Suicide attempts over the 90 days following each visit were ascertained from EHRs and insurance claims. Suicide deaths were ascertained from state death certificate files. RESULTS: Risk of suicide attempt within 90 days of an outpatient visit was .8% among patients reporting no thoughts of death or self-harm and 3.5% among those reporting such thoughts "nearly every day." Over 90 days of follow-up, 47% of suicide attempts occurred among those who reported any recent thoughts of death or self-harm at the sampled visit. Also, 59% of attempts occurred among those reporting thoughts of death or self-harm at the index visit or any visit in the prior year. The number of suicide deaths within 90 days (N=10) was too small to accurately assess the relationship between PHQ-9 item 9 response and subsequent suicide death. CONCLUSIONS: Among outpatients with psychotic disorders, response to item 9 of the PHQ-9 accurately identified those at increased short-term risk of a suicide attempt.

Treatment Initiation for New Episodes of Depression in Primary Care Settings.

BACKGROUND: Depression is prevalent and costly, but despite effective treatments, is often untreated. Recent efforts to improve depression care have focused on primary care settings. Disparities in treatment initiation for depression have been reported, with fewer minority and older individuals starting treatment. OBJECTIVE: To describe patient characteristics associated with depression treatment initiation and treatment choice (antidepressant medications or psychotherapy) among patients newly diagnosed with depression in primary care settings. DESIGN: A retrospective observational design was used to analyze electronic health record data. PATIENTS: A total of 241,251 adults newly diagnosed with depression in primary care settings among five health care systems from 2010 to 2013. MAIN MEASURES: ICD-9 codes for depression, following a 365-day period with no depression diagnosis or treatment, were used to identify new depression episodes. Treatment initiation was defined as a completed psychotherapy visit or a filled prescription for antidepressant medication within 90 days of diagnosis. Depression severity was measured with Patient Health Questionnaire (PHQ-9) scores on the day of diagnosis. KEY RESULTS: Overall, 35.7% of patients with newly diagnosed depression initiated treatment. The odds of treatment initiation among Asians, non-Hispanic blacks, and Hispanics were at least 30% lower than among non-Hispanic whites, controlling for all other variables. The odds of patients aged ≥ 60 years starting treatment were half those of patients age 44 years and under. Treatment initiation increased with depression severity, but was only 53% among patients with a PHQ-9 score of ≥ 10. Among minority patients, psychotherapy was initiated significantly more often than medication. CONCLUSIONS: Screening for depression in primary care is a positive step towards improving detection, treatment, and outcomes for depression. However, study results indicate that treatment initiation remains suboptimal, and disparities persist. A better understanding of patient factors, and particularly system-level factors, that influence treatment initiation is needed to inform efforts by heath care systems to improve depression treatment engagement and to reduce disparities.

National prevalence of receipt of antidepressant prescriptions by persons without a psychiatric diagnosis.

OBJECTIVE: The study addressed recent concerns regarding increasing prescription of antidepressant drugs to patients with no recorded psychiatric diagnosis. METHODS: Records from ten large integrated health systems in the Mental Health Research Network were used to examine diagnoses received by 1,011,946 health plan members who filled at least one antidepressant prescription in 2010. RESULTS: Among individuals filling antidepressant prescriptions, psychiatric diagnoses recorded during the year were depressive disorders (48%), anxiety disorders (27%), bipolar disorders (3%), and attention deficit disorders (3%). The proportion of those filling prescriptions who had no psychiatric diagnosis was 39%, which fell to 27% after the analysis excluded prescriptions for antidepressants often prescribed for nonpsychiatric indications (tricyclic antidepressants, trazodone, and bupropion). CONCLUSIONS: Prescription of antidepressants to patients without an appropriate diagnosis appears to be less common than previously reported.

Factors related to recent alcohol abstinence among individuals who received previous treatment.

BACKGROUND: Alcohol problems are widespread throughout the United States. While treatment can be successful, many individuals continue to drink. One method to assess treatment results over time is by investigating abstinence as a measure of success. OBJECTIVES: The main aim of this study is to investigate factors that may be associated with past-year (PY) abstinence among individuals who received prior-to-past-year (PPY) treatment for alcohol problems, while also assessing abstinence by treatment subtype. METHOD: This study uses data from 1742 individuals who received PPY treatment for alcohol problems in the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Logistic regression models were used to assess the strength of association between alcohol abstinence and key demographic and clinical factors. RESULTS: The level of PY abstinence was 36.5% among those who previously sought treatment for alcohol problems. Younger age groups and those who were nicotine dependent or had a cannabis use disorder were less likely to be abstinent. There were no differences based on sex or PY major depression or generalized anxiety disorder. CONCLUSION: While causal inferences cannot be made, these results suggest that the majority of people continue to drink, even after being treated for alcohol problems. Nonetheless, variation may exist depending on the form of treatment a person receives. More research is needed regarding long-term levels of abstinence after individuals receive treatment.