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.

Patterns of Health Care Utilization Before First Episode Psychosis in Racial and Ethnic Groups.

Objective: To compare patterns of health care utilization associated with first presentation of psychosis among different racial and ethnic groups of patients. Design: The study was a retrospective observational design. Setting: The study was conducted in five health care systems in the western United States. All sites were also part of the National Institute of Mental Health-funded Mental Health Research Network (MHRN). Participants: Patients (n = 852) were aged 15 - 59 years (average 26.9 ± 12.2 years), 45% women, and primarily non-Hispanic White (53%), with 16% Hispanic, 10% non-Hispanic Black, 6% Asian, 1% Native Hawaiian/Pacific Islander, 1% Native American/ Alaskan Native, and 12% unknown race/ethnicity. Main Outcome Measures: Variables examined were patterns of health care utilization, type of comorbid mental health condition, and type of treatment received in the three years before first presentation of psychosis. Methods: Data abstracted from electronic medical records and insurance claims data were organized into a research virtual data warehouse (VDW) and used for analysis. Results: Compared with non-Hispanic Whites, Asian patients (16% vs 34%; P=.007) and non-Hispanic Black patients (20% vs 34%; P=.009) were less likely to have a visit with specialty mental health care before their first presentation of psychosis. Conclusions: Early detection of first episode psychosis should start with wider screening for symptoms outside of any indicators for mental health conditions for non-Hispanic Black and Asian patients.

Agreement between medical records and self-reports: Implications for transgender health research.

A key priority of transgender health research is the evaluation of long-term effects of gender affirmation treatment. Thus, accurate assessment of treatment receipt is critical. The data for this analysis came from an electronic medical records (EMR) based cohort of transgender individuals. A subset of cohort members were also asked to complete a self-administered survey. Information from the EMR was compared with survey responses to assess the extent of agreement regarding transmasculine (TM)/transfeminine (TF) status, hormone therapy receipt, and type of surgery performed. Logistic regression models were used to assess whether participant characteristics were associated with disagreement between data sources. Agreement between EMR and survey-derived information was high regarding TM/TF status (99%) and hormone therapy receipt (97%). Lower agreement was observed for chest reconstruction surgery (72%) and genital reconstruction surgery (84%). Using survey responses as the "gold standard", both chest and genital reconstruction surgeries had high specificity (95 and 93%, respectively), but the corresponding sensitivities were low (49 and 68%, respectively). A lower proportion of TM had concordant results for chest reconstruction surgery (64% versus 79% for TF) while genital reconstruction surgery concordance was lower among TF (79% versus 89% for TM). For both surgery types, agreement was highest among the youngest participants. Our findings offer assurance that EMR-based data appropriately classify cohort participants with respect to their TM/TF status or hormone therapy receipt. However, current EMR data may not capture the complete history of gender affirmation surgeries. This information is useful in future studies of outcomes related to gender affirming therapy.

Near Real-time Surveillance for Consequences of Health Policies Using Sequential Analysis.

BACKGROUND: New health policies may have intended and unintended consequences. Active surveillance of population-level data may provide initial signals of policy effects for further rigorous evaluation soon after policy implementation. OBJECTIVE: This study evaluated the utility of sequential analysis for prospectively assessing signals of health policy impacts. As a policy example, we studied the consequences of the widely publicized Food and Drug Administration's warnings cautioning that antidepressant use could increase suicidal risk in youth. METHOD: This was a retrospective, longitudinal study, modeling prospective surveillance, using the maximized sequential probability ratio test. We used historical data (2000-2010) from 11 health systems in the US Mental Health Research Network. The study cohort included adolescents (ages 10-17 y) and young adults (ages 18-29 y), who were targeted by the warnings, and adults (ages 30-64 y) as a comparison group. Outcome measures were observed and expected events of 2 possible unintended policy outcomes: psychotropic drug poisonings (as a proxy for suicide attempts) and completed suicides. RESULTS: We detected statistically significant (P<0.05) signals of excess risk for suicidal behavior in adolescents and young adults within 5-7 quarters of the warnings. The excess risk in psychotropic drug poisonings was consistent with results from a previous, more rigorous interrupted time series analysis but use of the maximized sequential probability ratio test method allows timely detection. While we also detected signals of increased risk of completed suicide in these younger age groups, on its own it should not be taken as conclusive evidence that the policy caused the signal. A statistical signal indicates the need for further scrutiny using rigorous quasi-experimental studies to investigate the possibility of a cause-and-effect relationship. CONCLUSIONS: This was a proof-of-concept study. Prospective, periodic evaluation of administrative health care data using sequential analysis can provide timely population-based signals of effects of health policies. This method may be useful to use as new policies are introduced.

Mental Health of Transgender and Gender Nonconforming Youth Compared With Their Peers.

BACKGROUND: Understanding the magnitude of mental health problems, particularly life-threatening ones, experienced by transgender and/or gender nonconforming (TGNC) youth can lead to improved management of these conditions. METHODS: Electronic medical records were used to identify a cohort of 588 transfeminine and 745 transmasculine children (3-9 years old) and adolescents (10-17 years old) enrolled in integrated health care systems in California and Georgia. Ten male and 10 female referent cisgender enrollees were matched to each TGNC individual on year of birth, race and/or ethnicity, study site, and membership year of the index date (first evidence of gender nonconforming status). Prevalence ratios were calculated by dividing the proportion of TGNC individuals with a specific mental health diagnosis or diagnostic category by the corresponding proportion in each reference group by transfeminine and/or transmasculine status, age group, and time period before the index date. RESULTS: Common diagnoses for children and adolescents were attention deficit disorders (transfeminine 15%; transmasculine 16%) and depressive disorders (transfeminine 49%; transmasculine 62%), respectively. For all diagnostic categories, prevalence was severalfold higher among TGNC youth than in matched reference groups. Prevalence ratios (95% confidence intervals [CIs]) for history of self-inflicted injury in adolescents 6 months before the index date ranged from 18 (95% CI 4.4-82) to 144 (95% CI 36-1248). The corresponding range for suicidal ideation was 25 (95% CI 14-45) to 54 (95% CI 18-218). CONCLUSIONS: TGNC youth may present with mental health conditions requiring immediate evaluation and implementation of clinical, social, and educational gender identity support measures.

Mortality Rates After the First Diagnosis of Psychotic Disorder in Adolescents and Young Adults.

Importance: Individuals with psychotic disorders have increased mortality, and recent research suggests a marked increase shortly after diagnosis. Objective: To use population-based data to examine overall and cause-specific mortality after first diagnosis of a psychotic disorder. Design, Setting, and Participants: This cohort study used records from 5 integrated health systems that serve more than 8 million members in 5 states. Members aged 16 through 30 years who received a first lifetime diagnosis of a psychotic disorder from September 30, 2009, through September 30, 2015, and 2 comparison groups matched for age, sex, health system, and year of diagnosis were selected from all members making an outpatient visit (general outpatient group) and from all receiving a first diagnosis of unipolar depression (unipolar depression group). Exposures: First recorded diagnosis of schizophrenia, schizoaffective disorder, mood disorder with psychotic symptoms, or other psychotic disorder in any outpatient, emergency department, or inpatient setting. Main Outcomes and Measures: Death within 3 years after the index diagnosis or visit date, ascertained from health system electronic health records, insurance claims, and state mortality records. Results: A total of 11 713 members with first diagnosis of a psychotic disorder (6976 [59.6%] men and 4737 [40.4%] women; 2368 [20.2%] aged 16-17 and 9345 [79.8%] aged 18-30 years) were matched to 35 576 outpatient service users and 23 415 members with a first diagnosis of unipolar depression. During the year after the first diagnosis, all-cause mortality was 54.6 (95% CI, 41.3-68.0) per 10 000 in the psychotic disorder group compared with 20.5 (95% CI, 14.7-26.3) per 10 000 in the unipolar depression group and 6.7 (95% CI, 4.0-9.4) per 10 000 in the general outpatient group. After adjustment for race, ethnicity, and preexisting chronic medical conditions, the relative hazard of death in the psychotic disorder group compared with the general outpatient group was 34.93 (95% CI, 8.19-149.10) for self-inflicted injury or poisoning and 4.67 (95% CI, 2.01-10.86) for other type of injury or poisoning. Risk of death due to heart disease or diabetes did not differ significantly between the psychotic disorder and the general outpatient groups (hazard ratio, 0.78; 95% CI, 0.15-3.96). Between the first and third years after diagnosis, all-cause mortality in the psychotic disorder group decreased from 54.6 to 27.1 per 10 000 persons and injury and poisoning mortality decreased from 30.6 to 15.1 per 10 000 persons. Both rates, however, remained 3 times as high as in the general outpatient group (9.0 per 10 000 for all causes; 4.8 per 10 000 for injury or poisoning). Conclusions and Relevance: Increases in early mortality underscore the importance of systematic intervention for young persons experiencing the first onset of psychosis. Clinicians should attend to the elevated suicide risk after the first diagnosis a psychotic disorder.

Care Pathways Before First Diagnosis of a Psychotic Disorder in Adolescents and Young Adults.

OBJECTIVE: The authors sought to describe patterns of health care use prior to first diagnosis of a psychotic disorder in a population-based sample. METHOD: Electronic health records and insurance claims from five large integrated health systems were used to identify 624 patients 15-29 years old who received a first diagnosis of a psychotic disorder in any care setting and to record health services received, diagnoses assigned, and medications dispensed during the previous 36 months. Patterns of utilization were compared between patients receiving a first diagnosis of a psychotic disorder and matched samples of general health system members and members receiving a first diagnosis of unipolar depression. RESULTS: During the year before a first psychotic disorder diagnosis, 29% of patients had mental health specialty outpatient care, 8% had mental health inpatient care, 24% had emergency department mental health care, 29% made a primary care visit with a mental health diagnosis, and 60% received at least one mental health diagnosis (including substance use disorders). Compared with patients receiving a first diagnosis of unipolar depression, those with a first diagnosis of a psychotic disorder were modestly more likely to use all types of health services and were specifically more likely to use mental health inpatient care (odds ratio=2.96, 95% CI=1.97-4.43) and mental health emergency department care (rate ratio=3.74, 95% CI=3.39-4.53). CONCLUSIONS: Most patients receiving a first diagnosis of a psychotic disorder had some indication of mental health care need during the previous year. General use of primary care or mental health services, however, does not clearly distinguish people who later receive a diagnosis of a psychotic disorder from those who later receive a diagnosis of unipolar depression. Use of inpatient or emergency department mental health care is a more specific indicator of risk.

Perception of Community Tolerance and Prevalence of Depression among Transgender Persons.

PURPOSE: The goal of the study was to examine the association between depression and perceived community tolerance after controlling for various demographic and personal characteristics, treatment receipt, and past experiences with abuse or discrimination. METHODS: An on-line survey assessed depressive symptoms among transgender and gender non-conforming individuals. Depression was assessed using the 7-item Beck Depression Inventory for Primary Care (BDI-PC) and the 10-item Center for Epidemiologic Studies Depression (CESD-10) scale. RESULTS: The prevalence ratios (95% confidence intervals) comparing depression in persons who did and did not perceive their area as tolerant were 0.33 (0.20-0.54) for BD-PC and 0.66 (0.49-0.89) for CESD-10. Other factors associated with depression were experience with abuse or discrimination, lower education, and unfulfilled desire to receive hormonal therapy. CONCLUSION: Depression was common in this sample of transgender and gender non-conforming individuals and was strongly and consistently associated with participants' perceptions of community tolerance, even after adjusting for possible confounding. The association between desire to receive hormonal therapy and depression is a finding that warrants further exploration. Future research should also assess depression and changes in perception of community tolerance in transgender individuals before and after initiation of gender confirmation treatment.

First Presentation With Psychotic Symptoms in a Population-Based Sample.

OBJECTIVE: Increasing evidence supports the effectiveness of comprehensive early intervention at first onset of psychotic symptoms. Implementation of early intervention programs will require population-based data on overall incidence of psychotic symptoms and on care settings of first presentation. METHODS: In five large health care systems, electronic health records data were used to identify all first occurrences of psychosis diagnoses among persons ages 15-59 between January 1, 2007, and December 31, 2013 (N=37,843). For a random sample of these putative cases (N=1,337), review of full-text medical records confirmed clinician documentation of psychotic symptoms and excluded those with documented prior diagnosis of or treatment for psychosis. Initial incidence rates (based on putative cases) and confirmation rates (from record reviews) were used to estimate true incidence according to age and setting of initial presentation. RESULTS: Annual incidence estimates based on putative cases were 126 per 100,000 among those ages 15-29 and 107 per 100,000 among those ages 30-59. Rates of chart review confirmation ranged from 84% among those ages 15-29 diagnosed in emergency department or inpatient mental health settings to 19% among those ages 30-59 diagnosed in general medical outpatient settings. Estimated true incidence rates were 86 per 100,000 per year among those ages 15-29 and 46 per 100,000 among those ages 30-59. CONCLUSIONS: When all care settings were included, incidence of first-onset psychotic symptoms was higher than previous estimates based on surveys or inpatient data. Early intervention programs must accommodate frequent presentation after age 30 and presentation in outpatient settings, including primary care.

Racial-Ethnic Differences in Psychiatric Diagnoses and Treatment Across 11 Health Care Systems in the Mental Health Research Network.

OBJECTIVE: The objective of this study was to characterize racial-ethnic variation in diagnoses and treatment of mental disorders in large not-for-profit health care systems. METHODS: Participating systems were 11 private, not-for-profit health care organizations constituting the Mental Health Research Network, with a combined 7,523,956 patients age 18 or older who received care during 2011. Rates of diagnoses, prescription of psychotropic medications, and total formal psychotherapy sessions received were obtained from insurance claims and electronic medical record databases across all health care settings. RESULTS: Of the 7.5 million patients in the study, 1.2 million (15.6%) received a psychiatric diagnosis in 2011. This varied significantly by race-ethnicity, with Native American/Alaskan Native patients having the highest rates of any diagnosis (20.6%) and Asians having the lowest rates (7.5%). Among patients with a psychiatric diagnosis, 73% (N=850,585) received a psychotropic medication. Non-Hispanic white patients were significantly more likely (77.8%) than other racial-ethnic groups (odds ratio [OR] range .48-.81) to receive medication. In contrast, only 34% of patients with a psychiatric diagnosis (N=548,837) received formal psychotherapy. Racial-ethnic differences were most pronounced for depression and schizophrenia; compared with whites, non-Hispanic blacks were more likely to receive formal psychotherapy for their depression (OR=1.20) or for their schizophrenia (OR=2.64). CONCLUSIONS: There were significant racial-ethnic differences in diagnosis and treatment of psychiatric conditions across 11 U.S. health care systems. Further study is needed to understand underlying causes of these observed differences and whether processes and outcomes of care are equitable across these diverse patient populations.

Factors influencing variation in physician adenoma detection rates: a theory-based approach for performance improvement.

BACKGROUND AND AIMS: Interventions to improve physician adenoma detection rates for colonoscopy have generally not been successful, and there are little data on the factors contributing to variation that may be appropriate targets for intervention. We sought to identify factors that may influence variation in detection rates by using theory-based tools for understanding behavior. METHODS: We separately studied gastroenterologists and endoscopy nurses at 3 Kaiser Permanente Northern California medical centers to identify potentially modifiable factors relevant to physician adenoma detection rate variability by using structured group interviews (focus groups) and theory-based tools for understanding behavior and eliciting behavior change: the Capability, Opportunity, and Motivation behavior model; the Theoretical Domains Framework; and the Behavior Change Wheel. RESULTS: Nine factors potentially associated with adenoma detection rate variability were identified, including 6 related to capability (uncertainty about which types of polyps to remove, style of endoscopy team leadership, compromised ability to focus during an examination due to distractions, examination technique during withdrawal, difficulty detecting certain types of adenomas, and examiner fatigue and pain), 2 related to opportunity (perceived pressure due to the number of examinations expected per shift and social pressure to finish examinations before scheduled breaks or the end of a shift), and 1 related to motivation (valuing a meticulous examination as the top priority). Examples of potential intervention strategies are provided. CONCLUSIONS: By using theory-based tools, this study identified several novel and potentially modifiable factors relating to capability, opportunity, and motivation that may contribute to adenoma detection rate variability and be appropriate targets for future intervention trials.

Perceptions of Barriers to and Facilitators of Participation in Health Research Among Transgender People.

Purpose: Although transgender people may be at increased risk for a range of health problems, they have been the subject of relatively little health research. An important step toward expanding the evidence base is to understand and address the reasons for nonparticipation and dropout. The aim of this study was to explore the perceptions of barriers to and facilitators of participation in health research among a sample of transgender people in San Francisco, CA, and Atlanta, GA. Methods: Twelve in-person focus groups (FGs) were conducted; six (three with transwomen, three with transmen) were conducted in San Francisco and six FGs were conducted in Atlanta (three with transwomen and three with transmen). FGs were audiorecorded, transcribed, and uploaded to MaxQDA software for analysis. A codebook was used to code transcripts; new codes were added iteratively as they arose. All transcripts were coded by at least 2 of the 4 researchers and, after each transcript was coded, the researchers met to discuss any discrepancies, which were resolved by consensus. Results: Among 67 FG participants, 37 (55%) identified as transmen and 30 (45%) identified as transwomen. The average age of participants was ∼41 years (range 18-67) and the majority (61%) were non-Hispanic Whites. Several barriers that can hinder participation in health research were identified, including logistical concerns, issues related to mistrust, a lack of awareness about participation opportunities, and psychosocial/emotional concerns related to being "outed." A broad range of facilitators were also identified, including the opportunity to gain knowledge, access medical services, and contribute to the transgender community. Conclusion: These findings provide insights about the perceived barriers to and facilitators of research participation and offer some guidance for researchers in our ongoing effort to engage the transgender community in health research.

Racial/Ethnic differences in health care visits made before suicide attempt across the United States.

BACKGROUND: Suicide is a public health concern, but little is known about the patterns of health care visits made before a suicide attempt, and whether those patterns differ by race/ethnicity. OBJECTIVES: To examine racial/ethnic variation in the types of health care visits made before a suicide attempt, when those visits occur, and whether mental health or substance use diagnoses were documented. RESEARCH DESIGN: Retrospective, longitudinal study, 2009-2011. PARTICIPANTS: 22,387 individuals who attempted suicide and were enrolled in the health plan across 10 health systems in the Mental Health Research Network. MEASURES: Cumulative percentage of different types of health care visits made in the 52 weeks before a suicide attempt, by self-reported racial/ethnicity and diagnosis. Data were from the Virtual Data Warehouse at each site. RESULTS: Over 38% of the individuals made any health care visit within the week before their suicide attempt and ∼95% within the preceding year; these percentages varied across racial/ethnic groups (P<0.001). White individuals had the highest percentage of visits (>41%) within 1 week of suicide attempt. Asian Americans were the least likely to make visits within 52 weeks. Hawaiian/Pacific Islanders had proportionally the most inpatient and emergency visits before an attempt, but were least likely to have a recorded mental health or substance use diagnosis. Overall, visits were most common in primary care and outpatient general medical settings. CONCLUSIONS: This study provides temporal evidence of racial/ethnic differences in health care visits made before suicide attempt. Health care systems can use this information to help focus the design and implementation of their suicide prevention initiatives.

Changes in antidepressant use by young people and suicidal behavior after FDA warnings and media coverage: quasi-experimental study.

OBJECTIVE: To investigate if the widely publicized warnings in 2003 from the US Food and Drug Administration about a possible increased risk of suicidality with antidepressant use in young people were associated with changes in antidepressant use, suicide attempts, and completed suicides among young people. DESIGN: Quasi-experimental study assessing changes in outcomes after the warnings, controlling for pre-existing trends. SETTING: Automated healthcare claims data (2000-10) derived from the virtual data warehouse of 11 health plans in the US Mental Health Research Network. PARTICIPANTS: Study cohorts included adolescents (around 1.1 million), young adults (around 1.4 million), and adults (around 5 million). MAIN OUTCOME MEASURES: Rates of antidepressant dispensings, psychotropic drug poisonings (a validated proxy for suicide attempts), and completed suicides. RESULTS: Trends in antidepressant use and poisonings changed abruptly after the warnings. In the second year after the warnings, relative changes in antidepressant use were -31.0% (95% confidence interval -33.0% to -29.0%) among adolescents, -24.3% (-25.4% to -23.2%) among young adults, and -14.5% (-16.0% to -12.9%) among adults. These reflected absolute reductions of 696, 1216, and 1621 dispensings per 100,000 people among adolescents, young adults, and adults, respectively. Simultaneously, there were significant, relative increases in psychotropic drug poisonings in adolescents (21.7%, 95% confidence interval 4.9% to 38.5%) and young adults (33.7%, 26.9% to 40.4%) but not among adults (5.2%, -6.5% to 16.9%). These reflected absolute increases of 2 and 4 poisonings per 100,000 people among adolescents and young adults, respectively (approximately 77 additional poisonings in our cohort of 2.5 million young people). Completed suicides did not change for any age group. CONCLUSIONS: Safety warnings about antidepressants and widespread media coverage decreased antidepressant use, and there were simultaneous increases in suicide attempts among young people. It is essential to monitor and reduce possible unintended consequences of FDA warnings and media reporting.

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.

Health care contacts in the year before suicide death.

BACKGROUND: Suicide prevention is a public health priority, but no data on the health care individuals receive prior to death are available from large representative United States population samples. OBJECTIVE: To investigate variation in the types and timing of health services received in the year prior to suicide, and determine whether a mental health condition was diagnosed. DESIGN: Longitudinal study from 2000 to 2010 within eight Mental Health Research Network health care systems serving eight states. PARTICIPANTS: In all, 5,894 individuals who died by suicide, and were health plan members in the year before death. MAIN MEASURES: Health system contacts in the year before death. Medical record, insurance claim, and mortality records were linked via the Virtual Data Warehouse, a federated data system at each site. KEY RESULTS: Nearly all individuals received health care in the year prior to death (83 %), but half did not have a mental health diagnosis. Only 24 % had a mental health diagnosis in the 4-week period prior to death. Medical specialty and primary care visits without a mental health diagnosis were the most common visit types. The individuals more likely to make a visit in the year prior to death (p < 0.05) tended to be women, individuals of older age (65+ years), those where the neighborhood income was over $40,000 and 25 % were college graduates, and those who died by non-violent means. CONCLUSIONS: This study indicates that opportunities for suicide prevention exist in primary care and medical settings, where most individuals receive services prior to death. Efforts may target improved identification of mental illness and suicidal ideation, as a large proportion may remain undiagnosed at death.

Use of antipsychotic medications in pediatric populations: what do the data say?

Recent reports of antipsychotic medication use in pediatric populations describe large increases in rates of use. Much interest in the increasing use has focused on potentially inappropriate prescribing for non-Food and Drug Administration-approved uses and use amongst youth with no mental health diagnosis. Different studies of antipsychotic use have used different time periods, geographic and insurance populations of youth, and aggregations of diagnoses. We review recent estimates of use and comment on the similarities and dissimilarities in rates of use. We also report new data obtained on 11 health maintenance organizations that are members of the Mental Health Research Network in order to update and extend the knowledge base on use by diagnostic indication. Results indicate that most use in pediatric populations is for disruptive behaviors and not psychotic disorders. Differences in estimates are likely a function of differences in methodology; however, there is remarkable consistency in estimates of use by diagnosis.

A web-delivered care management and patient self-management program for recurrent depression: a randomized trial.

OBJECTIVE This study assessed the impact of an Internet-delivered care management and patient self-management program, eCare for Moods, on patients treated for recurrent or chronic depression. METHODS Patients with recurrent or chronic depression were randomly assigned to eCare (N=51) or usual specialty mental health care (N=52). The 12-month eCare program integrates with ongoing depression care, links to patients' electronic medical records, and provides clinicians with panel management and decision support. Participants were interviewed at baseline and six, 12, 18, and 24 months after enrollment. Telephone interviewers blind to treatment used a timeline follow-back method to estimate depression severity on a 6-point scale for each of the 105 study weeks (including the baseline). Differences between groups in weekly severity over two years were examined by generalized estimating equations. RESULTS Participants in eCare experienced more reduction in depressive symptoms (estimate=-.74 on the 6-point scale over two years; 95% confidence interval [CI]=-1.38 to -.09, p=.025) and were less often depressed (-.24 over two years; CI=-.46 to -.03, p=.026). At 24 months, 43% of eCare and 30% of usual-care participants were depression free; the number needed to treat to attain one additional depression-free participant was 8. eCare participants had other favorable outcomes: improved general mental health (p=.002), greater satisfaction with specialty care (p=.003) and with learning new coping skills (p<.001), and more confidence in managing depression (p=.006). CONCLUSIONS Internet-delivered care management can help improve outcomes of patients treated for recurrent or chronic depression.

Does gender moderate the relationship between childhood maltreatment and adult depression?

Although considerable evidence demonstrates that adults who report childhood maltreatment are at increased risk of depression in adulthood, little is known about whether gender moderates risk. In a sample of 5,673 adult Health Maintenance Organization (HMO) patients, the authors employed the Patient Health Questionnaire-8 (PHQ-8) to assess major depressive disorder (MDD) and the Childhood Trauma Questionnaire (CTQ) to assess five different types of childhood maltreatment: emotional, physical, and sexual abuse, as well as emotional and physical neglect. Logistic regression models tested the main and interactive effects of gender and childhood maltreatment. Consistent with previous studies, men and women with histories of each type of childhood adversity were significantly more likely to meet criteria for MDD. However, the authors found no evidence that gender moderates the risk of depression. These findings suggest that men and women reporting history of childhood maltreatment are equally likely to suffer major depression in adulthood.