Effects of Patient Suicide on Professional Practice Among Mental Health Providers.

INTRODUCTION: The loss of a patient to suicide has an enormous impact on clinicians, but few studies have examined its effects. METHOD: In this retrospective study, we compared clinicians who have and have not experienced a patient suicide using a survey of 2157 outpatient clinicians from 169 New York clinics to determine differences in their suicide prevention knowledge, practices, training, and self-efficacy. RESULTS: Approximately 25% of the clinician respondents lost patients to suicide; psychiatrists, nurses/nurse practitioners, and those with more years of experience were disproportionately affected. After controlling for these demographic/professional differences, clinicians who had experienced patient suicide reported feeling that they had insufficient training, despite actually having more suicide prevention training, greater knowledge of suicide prevention practices, and feeling more comfortable working with suicidal patients than clinicians who had not lost a patient to suicide. There were no differences in self-efficacy or utilization of evidence-based clinical practices. CONCLUSIONS: Controlling for demographic/professional differences, clinicians who experienced a patient suicide had more training, knowledge, and felt more comfortable working with suicidal patients. It is critical that sufficient training be available to clinicians, not only to reduce patient deaths, but also to help clinicians increase their comfort, knowledge, skill, and ability to support those bereaved by suicide loss.

Profiles of Psychological Strengths on Symptom Distress, Recovery, and Quality of Life Among Young Adults with a History of Adolescent Psychiatric Hospitalization.

The current study surveyed 166 young adults (ages 20-35) with a history of adolescent psychiatric hospitalization to identify profiles of psychological strengths (self-determination, identity commitment, and low mental health self-stigma) and to examine their association with symptom distress, recovery, and quality of life in young adulthood. Over half of all participants (51%) reported a high quality of life, and over one-third (40%) were not experiencing clinically-significant psychiatric symptoms. k-means cluster analysis identified three distinct profiles: low psychological strengths, mixed, and high strengths. Multiple regression analyses indicated the high strengths profile was significantly associated with lower symptom distress, higher recovery, and higher quality of life after controlling for demographics, psychiatric history, treatment experience, and psychiatric interference in school and relationships during adolescence. Findings have implications for targeted support and services based on psychological profile, including family support, interventions to support medication management such as shared decision-making, and peer support.

Pathway Home™ for High Utilizers of Psychiatric Inpatient Services: Impact on Inpatient Days and Outpatient Engagement.

OBJECTIVE: This study examined the impact of Pathway Home™ (PH) transition services for high utilizers of psychiatric hospitalization on inpatient days and outpatient engagement post-hospital discharge. METHODS: This case series study of forty PH graduates (5/22/2015-8/31/2018) used Medicaid claims to assess psychiatric inpatient days-per-month, average proportion of months with psychiatric emergency room, outpatient, and health home care management services. T-tests compared three time periods: the year prior, during, and after enrollment. RESULTS: Graduates had significantly fewer psychiatric inpatient days/month during (M = 1.84, p < 0.001) and after PH enrollment (M = 1.88, p < 0.001) compared to prior to enrollment (M = 7.1), while emergency services were stable. Outpatient visits increased from 45% prior to 76% during enrollment (p < 0.001) and was sustained on follow-up (67%, p = 0.008). A similar pattern emerged for health home services (32%, 60%, and 50%). CONCLUSION: PH is a promising approach for improving outcomes for high utilizers of psychiatric inpatient services, with sustained impact on follow-up.

Predictors of Intentional Self -Harm Among Medicaid Mental Health Clinic Clients In New York.

BACKGROUND: Behavioral health outpatients are at risk for self-harm. Identifying individuals or combination of risk factors could discriminate those at elevated risk for self-harm. METHODS: The study population (N = 248,491) included New York State Medicaid-enrolled individuals aged 10 to 64 with mental health clinic services between November 1, 2015 to November 1, 2016. Self-harm episodes were defined using ICD-10 codes from emergency department and inpatient visits. Multi-predictor logistic regression models were fit on a subsample of the data and compared to a testing sample based on discrimination performance (Area Under the Curve or AUC). RESULTS: Of N = 248,491 patients, 4,224 (1.70%) had an episode of intentional self-harm. Factors associated with increased self-harm risk were age 17-25, being female and having recent diagnoses of depression (AOR=4.3, 95%CI: 3.6-5.0), personality disorder (AOR=4.2, 95%CI: 2.9-6.1), or substance use disorder (AOR=3.4, 95%CI: 2.7-4.3) within the last month. A multi-predictor logistic regression model including demographics and new psychiatric diagnoses within 90 days prior to index date had good discrimination and outperformed competitor models on a testing sample (AUC=0.86, 95%CI:0.85-0.87). LIMITATIONS: New York State Medicaid data may not be generalizable to the entire U.S population. ICD-10 codes do not allow distinction between self-harm with and without intent to die. CONCLUSIONS: Our results highlight the usefulness of recency of new psychiatric diagnoses, in predicting the magnitude and timing of intentional self-harm risk. An algorithm based on this finding could enhance clinical assessments support screening, intervention and outreach programs that are at the heart of a Zero Suicide prevention model.

Is the outpatient mental health workforce ready to save lives? Suicide prevention training, knowledge, self-efficacy, and clinical practices prior to the implementation of a statewide suicide prevention initiative.

OBJECTIVE: Many public health approaches to suicide prevention emphasize connecting at-risk individuals to professional treatment. However, it is unclear to what degree the outpatient mental health workforce has the requisite knowledge and skills to provide the evidence-based care needed to help those at risk. In this project, prior to the implementation of a statewide suicide prevention initiative, we assessed the baseline suicide prevention training and clinical practices of the New York State outpatient mental health workforce, a group likely representative of the broader U.S. clinical workforce. METHOD: A workforce survey of suicide prevention training and clinical practices was administered to 2,257 outpatient clinicians, representing 169 clinics serving approximately 90,000 clients. Clinicians were asked to complete the survey online, and all responses were confidential. RESULTS: Clinicians reported substantial gaps in their suicide prevention knowledge and training. The vast majority reported moderate self-efficacy working with suicidal clients and endorsed using evidence-based assessment procedures, but varied in utilization of recommended intervention practices. CONCLUSIONS: This study highlights gaps in clinicians' training and clinical practices that need to be overcome to provide evidence-based suicide care. Promisingly, positive associations were found between training and clinician knowledge, self-efficacy, and use of evidence-based practices.

The Relationship Between Suicidal Behaviors and Zero Suicide Organizational Best Practices in Outpatient Mental Health Clinics.

OBJECTIVE: This study tested the hypothesis that fidelity of clinics to Zero Suicide (ZS) organizational practices is inversely related to suicidal behaviors of patients under clinical care. METHODS: Using cross-sectional analyses, the authors examined the fidelity of 110 outpatient mental health clinics to ZS organizational best practices and suicidal behaviors of clinic patients in the year before a large-scale Zero Suicide implementation. Fidelity to ZS organizational best practices was assessed over a 1-year period with an adapted version of the ZS Organizational Self-Study instrument (17 items self-rated on a Likert scale of 1-5). Suicidal behaviors of patients were identified by extracting information on suicide attempts and deaths from a mandated statewide incident-reporting system database. Clinics were dichotomized into any or no suicide incidents during the year of observation. Logistic regression analyses were used to adjust for clinic census and population type (majority child or adult). RESULTS: The clinics (N=110) served 30,257 patients per week. Clinics' total average fidelity score was 3.1±0.6 (range=1.41-4.12). For each point increase in fidelity, clinics had a significantly reduced likelihood of having a suicide incident (adjusted odds ratio=0.31, 95% confidence interval=0.14-0.69). Exploratory analysis identified significant differences for seven of 17 ZS organizational practices, with the largest effect sizes for suicide-specific quality improvement policies and activities (η2=0.097) and lethal means reduction (η2=0.073). CONCLUSIONS: These findings support an association between clinics' use of ZS organizational best practices and lower suicidal behaviors of patients under their care. Findings also support the validity of the ZS Organizational Self-Study instrument.

Most Individuals Are Seen in Outpatient Medical Settings Prior to Intentional Self-Harm and Suicide Attempts Treated in a Hospital Setting.

The objective of this quantitative retrospective study is to understand healthcare patterns prior to self-harm, which may inform prevention efforts and identify intervention sites. Medicaid claims within 30, 60, 90, and 365 days prior to hospital-treated self-harm between 11/1/2015 and 11/1/2016 in New York State (N = 7492) were examined. Numbers and proportions were calculated for all service types. Participants were predominately 15-34, female, and White. Most (97%) had prior-year services, 94% outpatient care (73% behavioral health, 90% medical), 69% emergency department (37% behavioral health, 59% medical), and 42% inpatient services (34% behavioral health, 20% medical). About 86% received services within 90 days and 80% within 60 days. Utilization was high within 30 days prior, with 69% having one or more services. Medical services were more common than behavioral health (94% versus 79% in prior year); outpatient (94%) was more common than emergency (69%) and inpatient (42%) care. Given that most patients received health services within 30 days and almost all saw providers within the year prior, the findings indicate that improved prevention efforts within the healthcare system can reduce the incidence of self-harm.

Implementation and Use of a Client-Facing Web-Based Shared Decision-Making System (MyCHOIS-CommonGround) in Two Specialty Mental Health Clinics.

Electronic shared-decision making programs may provide an assistive technology to support physician-patient communication. This mixed methods study examined use of a web-based shared decision-making program (MyCHOIS-CommonGround) by individuals receiving specialty mental health services, and identified qualitative factors influencing adoption during the first 18 months of implementation in two Medicaid mental health clinics. T-tests and χ2 analyses were conducted to assess differences in patient use between sites. Approximately 80% of patients in both clinics created a MyCHOIS-CommonGround user profile, but marked differences emerged between clinics in patients completing shared decision-making reports (79% vs. 28%, χ2(1) = 109.92, p < .01) and average number of reports (7.20 vs. 3.60, t = - 3.64, p < .01). Results suggest high penetration of computer-based programs in specialty mental health services is possible, but clinic implementation factors can influence patient use including leadership commitment, peer staff funding to support the program, and implementation strategy, most notably integration of the program within routine clinical workflow.

Use of a Web-Based Shared Decision-Making Program: Impact on Ongoing Treatment Engagement and Antipsychotic Adherence.

OBJECTIVE: The authors examined the impact of a Web-based shared decision-making application, MyCHOIS-CommonGround, on ongoing outpatient mental health treatment engagement (all users) and antipsychotic medication adherence (users with schizophrenia). METHODS: An intervention study was conducted by comparing Medicaid-enrolled MyCHOIS-CommonGround users in 12 participating mental health clinics (N=472) with propensity score-matched adults receiving services in nonparticipating clinics (N=944). Medicaid claims were used to assess ongoing treatment engagement and antipsychotic adherence (among individuals with schizophrenia) one year prior to and after entry into the cohort. Multilevel linear models were conducted to estimate the effects of the MyCHOIS-CommonGround program over time. RESULTS: No differences during the baseline year were found between the MyCHOIS-CommonGround group and the matched control group on demographic, diagnostic, or service use characteristics. At one-year follow-up, engagement in outpatient mental health services was significantly higher for MyCHOIS-CommonGround users than for the control group (months with a service, 8.54±.22 versus 6.95±.15; ß=1.40, p<.001). Among individuals with schizophrenia, antipsychotic medication adherence was also higher during the follow-up year among MyCHOIS-CommonGround users compared with the control group (proportion of days covered by medication, .78±.04 versus .69±.03; ß=.06, p<.01). CONCLUSIONS: These findings provide new evidence that shared decision-making tools may promote ongoing mental health treatment engagement for individuals with serious mental illness and improved antipsychotic medication adherence for those with schizophrenia.

Genomics, Big Data, and Broad Consent: a New Ethics Frontier for Prevention Science.

Emerging technologies for analyzing biospecimens have led to advances in understanding the interacting role of genetics and environment on development and individual responsivity to prevention and intervention programs. The scientific study of gene-environment influences has also benefited from the growth of Big Data tools that allow linking genomic data to health, educational, and other information stored in large integrated datasets. These advances have created a new frontier of ethical challenges for scientists as they collect, store, or engage in secondary use of potentially identifiable information and biospecimens. To address challenges arising from technological advances and the expanding contexts in which potentially identifiable information and biospecimens are collected and stored, the Office of Human Research Protections has revised federal regulations for the protection of human subjects. The revised regulations create a new format, content, and transparency requirements for informed consent, including a new mechanism known as broad consent. Broad consent offers participants a range of choices regarding consent for the storage and future use of their personally identifiable data. These regulations have important implications for how prevention scientists and oversight boards acquire participant consent for the collection, storage, and future use of their data by other investigators for scientific purposes significantly different from the original study. This article describes regulatory changes and challenges affecting traditional informed consent for prevention research, followed by a description of the rationale and requirements for obtaining broad consent, and concludes with a discussion of future challenges involving ongoing transparency and protections for participants and their communities.

Differences in Medicaid Antipsychotic Medication Measures Among Children with SSI, Foster Care, and Income-Based Aid.

BACKGROUND: Concerns about antipsychotic prescribing for children, particularly those enrolled in Medicaid and with Supplemental Security Income (SSI), continue despite recent calls for selective use within established guidelines. OBJECTIVES: To (a) examine the application of 6 quality measures for antipsychotic medication prescribing in children and adolescents receiving Medicaid and (b) understand distinctive patterns across eligibility categories in order to inform ongoing quality management efforts to support judicious antipsychotic use. METHODS: Using data for 10 states from the 2008 Medicaid Analytic Extract (MAX), a cross-sectional assessment of 144,200 Medicaid beneficiaries aged < 21 years who received antipsychotics was conducted to calculate the prevalence of 6 quality measures for antipsychotic medication management, which were developed in 2012-2014 by the National Collaborative for Innovation in Quality Measurement. These measures addressed antipsychotic polypharmacy, higher-than-recommended doses of antipsychotics, use of psychosocial services before antipsychotic initiation, follow-up after initiation, baseline metabolic screening, and ongoing metabolic monitoring. RESULTS: Compared with children eligble for income-based Medicaid, children receiving SSI and in foster care were twice as likely to receive higher-than-recommended doses of antipsychotics (adjusted odds ratio [AOR] = 2.4, 95% CI = 2.3-2.6; AOR = 2.5, 95% CI = 2.4-2.6, respectively) and multiple concurrent antipsychotic medications (AOR = 2.2, 95% CI = 2.0-2.4; AOR = 2.2, 95% CI = 2.0-2.4, respectively). However, children receiving SSI and in foster care were more likely to have appropriate management, including psychosocial visits before initiating antipsychotic treatment and ongoing metabolic monitoring. While children in foster care were more likely to experience baseline metabolic screening, SSI children were no more likely than children eligible for income-based aid to receive baseline screening. CONCLUSIONS: While indicators of overuse were more common in SSI and foster care groups, access to follow-up, metabolic monitoring, and psychosocial services was somewhat better for these children. However, substantial quality shortfalls existed for all groups, particularly metabolic screening and monitoring. Renewed efforts are needed to improve antipsychotic medication management for all children. DISCLOSURES: This project was supported by grant number U18HS020503 from the Agency for Healthcare Research and Quality (AHRQ) and Centers for Medicare & Medicaid Services (CMS). Additional support for Rutgers-based participants was provided from AHRQ grants R18 HS019937 and U19HS021112, as well as the New York State Office of Mental Health. The content of this study is solely the responsibility of the authors and does not necessarily represent the official views of AHRQ, CMS, or the New York State Office of Mental Health. Finnerty has been the principle investigator on research grants/contracts from Bristol Myers Squibb and Sunovion, but her time on these projects is fully supported by the New York State Office of Mental Health. Scholle, Byron, and Morden work for the National Committee for Quality Assurance, a not-for-profit organization that develops and maintains quality measures. Neese-Todd was at Rutgers University at the time of this study and is now employed by the National Committee for Quality Assurance. The other authors have no financial relationships relevant to this article to disclose. Study concept and design were contributed by Finnerty, Neese-Todd, and Crystal, assisted by Scholle, Leckman-Westin, Horowitz, and Hoagwood. Scholle, Byron, Morden, and Hoagwood collected the data, and data interpretation was performed by Pritam, Bilder, Leckman-Westin, and Finnerty, with assistance from Scholle, Byron, Crystal, Kealey, and Neese-Todd. The manuscript was written by Leckman-Westin, Kealey, and Horowitz and revised by Layman, Crystal, Leckman-Westin, Finnerty, Scholle, Neese-Todd, and Horowitz, along with the other authors.

The Beech Brook Group Therapy Assessment tool: a pilot study.

BACKGROUND: Assessment is a critical component of therapeutic intervention as it serves as the basis from which clinical goals and objectives are derived. Unfortunately, there is a dearth of reliable group therapy assessment instruments, especially for children and preadolescents who have severe emotional disturbances. OBJECTIVE: The purpose of this study was to test reliability of a newly developed group therapy assessment instrument for use with children who have serious emotional disturbances that require placement in a residential or partial hospitalization treatment program. METHODS: After conducting an extensive literature review, the authors developed, refined, and tested a group therapy assessment tool for use in both music therapy and traditional therapy, measuring nine items: attention to task (physical and verbal), eye contact, pro-social skills (physical and verbal), empathy (physical and verbal), and managing negative affect (physical and verbal). Six participants with a mean age of 9.5 (SD = 1.85) years were randomly selected to test the group therapy assessment tool from a pool of 60 eligible children receiving group partial hospitalization therapy. Participants were scored by three raters across two partial hospitalization therapy groups for inter-rater reliability. Content and construct validity were also examined. RESULTS: Intraclass Coefficients (ICC) averaged 0.994 across all nine items indicating excellent inter-rater reliability. Content and construct validity was established and the instrument demonstrated good external validity potential. CONCLUSIONS: The Beech Brook Therapy Assessment Instrument has demonstrated excellent inter-rater reliability in measuring important behaviors of functioning central in the treatment of youth with severe and emotional disturbances. The measure has potential for wide utility and application in practice and research; however, future studies are needed to establish external validity.

Music therapy assessment for severely emotionally disturbed children: a pilot study.

The purpose of this study was to pilot a music therapy assessment instrument for severely emotionally disturbed children. The subjects in this pilot were 20 children, 13 male and 7 female, at a residential treatment center in Cleveland, Ohio. After conducting an extensive literature review, the authors developed a music therapy assessment instrument measuring 4 relevant domains: behavioral/social functioning, emotional responsiveness, language/communication abilities, and music skills. Responses were coded into 3 categories: defensive/withdrawn, target behavior, and disruptive/intrusive. Results demonstrated that subjects displayed significantly more behaviors in the disruptive/intrusive domain. High inter-rater reliability scores of 91.5% for percent agreement and .808 for Cohen's kappa were achieved utilizing this assessment instrument.