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Individual Placement and Support (IPS) has been shown to effectively help people with serious mental illness obtain competitive employment, and IPS programs have been established in over 40 U.S. states and at least 20 other countries. As this expansion continues, the field needs data describing IPS implementation, clients, fidelity, and outcomes in real-world, non-research settings, specifically regarding racial and ethnic disparities and young adults. The goal of this study was to observe the initial three years of IPS implementation, measuring fidelity, client characteristics, and employment outcomes in three mental health agencies in one California county. In 2018, officials in one California county contracted with the IPS Center to provide training and measure IPS program fidelity at three mental health agencies in a large urban area. The goal was to establish and maintain IPS programs with good fidelity and effectiveness. After an initial year of preparation, three mental health programs recruited unemployed clients with interest in employment and implemented IPS. An IPS trainer provided initial training, ongoing consultation, and measured program fidelity. The program clinicians documented client characteristics, IPS service use, and quarterly employment throughout 13 quarters. The project followed 351 mental health clients as they participated in three new supported employment programs over a three-year period. The average client age was 36 years, including 107 (31%) young adults (ages 18-25) and 244 older adults (ages 26+); 177 (50%) identified their gender as female, 173 as male, and 1 as other or declined to answer; 119 (36%) identified as Hispanic, 116 (35%) as non-Hispanic White, 42 (13%) as non-Hispanic Asian, 35 (11%) as non-Hispanic Black, and 20 (6%) as other non-Hispanic. Most clients (78%) had diagnoses of non-psychotic conditions such as anxiety or depression, and 22% had diagnoses of schizophrenia, schizoaffective, or other psychotic disorder. During the project, 312 (87%) engaged in supported employment services, 206 (58%) attained competitive employment, and 177 (50%) found their first job within nine months of enrolling. Hispanics (64%), Asians (57%), and non-Hispanic Blacks (77%) achieved higher employment rates than non-Hispanic Whites (49%). Young adults (73%) achieved higher employment rates than older adults (51%). Engaging in new IPS supported employment programs over several months led to high rates of competitive employment across all groups in real-world, non-research settings, typically within nine months. Hispanics, Asians, and non-Hispanic Blacks achieved higher rates of competitive employment than non-Hispanic Whites, and young adults achieved higher rates than older adults. Further research may explain these differences.

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OBJECTIVE: Co-occurrence of substance use disorder and mental illness complicates treatment and is associated with increased disability. However, identification of substance use disorder in populations recently engaged in treatment can be challenging. This study aimed to examine traditional screening tools for substance use disorder and proxy characteristics (i.e., demographic characteristics, behaviors, and diagnoses) as predictors of clinician-observed substance use disorder. METHODS: The Supported Employment Demonstration, funded by the Social Security Administration, studied 2,960 adults whose applications for disability benefits because of mental illness were recently denied. In a subsample (N=1,354) for whom substance use disorder was determined by community-based teams during follow-up, the authors used logistic regression to identify baseline predictors of observed substance use disorder and compared the sensitivity and specificity of detection by using standardized screening tools (Alcohol Use Disorder Identification Test [AUDIT], 10-item Drug Abuse Screening Test [DAST-10]) with detection via decision trees based on proxy characteristics. RESULTS: Using decision trees based on a combination of personal characteristics (sensitivity=0.47, specificity=0.83, area under the curve [AUC]=0.71) or personal characteristics including diagnostic data (sensitivity=0.54, specificity=0.81, AUC=0.72) provided more accurate identification of substance use disorder than using a combination of the AUDIT and DAST-10 (sensitivity=0.34, specificity=0.88, AUC=0.61). Adding the combined AUDIT and DAST-10 substance use disorder indicator to either tree negligibly improved accuracy. CONCLUSIONS: In populations recently engaged in treatment, for whom standardized substance use disorder screening tools are less accurate than expected, consideration of personal characteristics could improve the detection of substance use disorder essential for treatment planning.

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Individual placement and support (IPS) was the primary intervention in the United States Social Security Administration's supported employment demonstration (SED), a large randomized trial that sought to increase employment and reduce disability among those whose first application for disability benefits was denied. Researchers developed a measure of participation in IPS services to quantify participation among enrollees assigned to receive IPS. The IPS participation measure, which IPS teams completed monthly for individual clients, recorded clients assigned to IPS as being either out of contact with their IPS treatment teams or, if in contact, according to their employment status (employed or not employed) and receipt of IPS job search services (participating or not participating). The measure also recorded types of IPS activities and reasons for non-participation. IPS teams completed the IPS participation measure at a rate of approximately 95% each month. Between 27 and 35% of enrollees assigned to a treatment condition participated in IPS services each month during the first 24 months of measurement. The most common activities were applying for jobs and attending job interviews. Most of those out of contact were not responding to outreach efforts (58-72%). Those in contact but not participating despite being unemployed were typically either uninterested in employment (20-44%) or difficult to reach (10-16%). As IPS expands to serve new populations, it will be important to document and understand the links between individual characteristics, variance in participation patterns, and employment outcomes. Subsequent analyses of SED data will investigate these relationships among enrollees.

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OBJECTIVE: The authors examined the prevalence and correlates of psychotropic medication prescribing among outpatient youths with intellectual and developmental disabilities. METHODS: The authors reviewed cross-sectional data on medications for 1,333 youths (ages 5-21 years) with intellectual and developmental disabilities who were referred to a community-based mental health crisis service. Descriptive statistics and regression analysis were used to describe the study group and to identify correlates of psychotropic polypharmacy, antipsychotic use, and anticonvulsant use in the absence of a seizure disorder. RESULTS: Most youths were taking psychotropic medications (N=1,139, 86%), often three or more medications (N=733, 55%) from two or more drug classes (N=919, 69%). Most youths received antipsychotics (N=863, 65%), and a third (N=432, 32%) were taking anticonvulsants in the absence of a seizure disorder. Greater severity (number of psychiatric diagnoses and recent psychiatric hospitalization), older age, and living in a group home were significantly correlated with these practices. CONCLUSIONS: Polypharmacy, antipsychotic use, and anticonvulsant use in the absence of seizure disorders were common among youths with intellectual and developmental disabilities referred to the crisis service. Older age, number of psychiatric diagnoses, living in a group home, and psychiatric hospitalization correlate with these prescribing practices. These elevated prescribing rates in a very vulnerable population warrant further study.

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AIMS: The number of mental hospital beds per population varies widely across countries, and the reasons for this variation are not fully understood. Given that differences in disease prevalence do not explain variation in inpatient mental health care availability, we examined the relationship between mental hospital beds and national income, education and longevity as measured by the Human Development Index (HDI). METHODS: We used an international dataset of social, economic and structural measures to conduct a mixed-effects longitudinal regression of predictors of the number of mental hospital beds per 100 000 in the overall population for 86 countries for years 2005-2015. RESULTS: Our initial dataset contained 1881 observations consisting of 11 years of potential measurements across 171 countries. After eliminations based on missing data and subsequent imputation, the dataset for the final regression model included 946 observations over 86 countries. The primary predictors of a country's number of mental hospital beds were year, HDI and GINI coefficient, the latter being a measure of income disparity. Holding all other factors constant, the number of beds decreased 8% per year, reflecting the ongoing international trend of deinstitutionalisation. As hypothesised, higher HDI predicted more mental hospital beds. Every 0.1 increase in HDI (0-1.0) was associated with a 126% increase in the number of hospital beds at the sample's mean GINI index score of 38 (0-100). However, a strong interaction between HDI and the GINI coefficient indicated that a high level of income disparity attenuated the positive association between HDI and mental hospital beds. At a GINI index score of 48, every 0.1 increase in HDI was associated with a 71% increase in the number of hospital beds. CONCLUSIONS: As countries reduce the number of hospital beds over time, higher levels of economic disparity are associated with a reduction in the strength of the association between national prosperity and investment in mental hospitals. As power becomes increasingly concentrated, perhaps those with the least are more easily forgotten.

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Individual Placement and Support (IPS) is an evidence-based model of supported employment for people with serious mental illness. We assessed the effects and relative contributions of predictors of employment among IPS recipients using measures of baseline client characteristics, local economic context, and IPS fidelity. A recent work history, less time on the Social Security rolls, greater cognitive functioning, and a lower local unemployment rate were associated with greater probability of employment. The ability of the model to discriminate between outcomes was limited, and substantial improvements in our understanding of IPS employment outcomes will require the study of novel client, environmental, and IPS implementation factors.

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OBJECTIVE: Some researchers have argued for using standardized discharge rules in individual placement and support (IPS) based on time of unemployment. To evaluate potential adverse outcomes of these rules, the authors examined time to first job over 24 months in a large randomized controlled study. METHODS: This secondary analysis of 2,055 participants in the Mental Health Treatment Study, using bootstrapping and survival analysis, estimated and compared the likelihood of finding a first job in the IPS and control groups during each quarter over 24 months. RESULTS: Although the likelihood of obtaining a first job declined over time, IPS recipients were more likely than participants in a control group to find first jobs for at least 18 months. CONCLUSIONS: Use of standardized discharge rules in IPS, based on initial periods of unemployment, may be cost-effective but would penalize recipients who respond more slowly. Natural attrition may be a more sensitive and ethical way to create capacity.

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As Individual Placement and Support (IPS) has become the international standard for vocational rehabilitation of adults with serious mental illness, researchers must consider the relationship between IPS and local environments. This meta-analysis used mixed-effects meta-regressions to assess the impact of site-level moderators on the likelihood that IPS recipients, compared with recipients of alternative vocational services, achieved competitive employment. Potential moderators included change in gross domestic product (GDP), local unemployment and unionization rates, and indices describing employment protection regulations, level of disability benefits compensation, and efforts to integrate people with disabilities into the workforce. Regulatory moderators represent facilitators and barriers to employment that may reinforce or detract from the effectiveness of IPS. Across 30 sites drawn from 21 randomized controlled trials in 12 countries (33% in the United States), IPS recipients were 2.31 (95% CI 1.99-2.69) times more likely to find competitive employment than recipients of alternative vocational rehabilitation services. The significant competitive-employment rate advantage of IPS over control services increased in the presence of weaker employment protection legislation and integration efforts, and less generous disability benefits. Policy makers should recognize and account for the fact that labor and disability regulations can create an arrangement of incentives that reduces the relative efficacy of supported employment.

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Social determinants of health, such as poverty and minority background, severely disadvantage many people with mental disorders. A variety of innovative federal, state, and local programs have combined social services with mental health interventions. To explore the potential effects of such supports for addressing poverty and disadvantage on mental health outcomes, we simulated improvements in three social determinants-education, employment, and income. We used two large data sets: one from the National Institute of Mental Health that contained information about people with common mental disorders such as anxiety and depression, and another from the Social Security Administration that contained information about people who were disabled due to severe mental disorders such as schizophrenia and bipolar disorder. Our simulations showed that increasing employment was significantly correlated with improvements in mental health outcomes, while increasing education and income produced weak or nonsignificant correlations. In general, minority groups as well as the majority group of non-Latino whites improved in the desired outcomes. We recommend that health policy leaders, state and federal agencies, and insurers provide evidence-based employment services as a standard treatment for people with mental disorders.

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For people with psychiatric disabilities, demographic characteristics and measures of clinical status are often used to allocate scarce employment services. This study examined a battery of potential client predictors of competitive employment, testing the hypothesis that evidence-based supported employment would mitigate the negative effects of poor work history, uncontrolled symptoms, substance abuse, and other client factors. In a secondary analysis of 2055 unemployed Social Security Disability Insurance beneficiaries with schizophrenia or affective disorders, we examined 20 baseline client factors as predictors of competitive employment. The analysis used logistic regression to identify significant client predictors and then examined interactions between significant predictors and receipt of evidence-based supported employment. Work history was a strong predictor of employment, and other client measures (fewer years on disability rolls, Hispanic ethnicity, and fewer physical health problems) were modestly predictive. Evidence-based supported employment mitigated negative client factors, including poor work history. Participants with a poor work history benefitted from supported employment even more than those with a recent work experience. Evidence-based supported employment helps people with serious mental illness, especially those with poor job histories, to obtain competitive employment. Factors commonly considered barriers to employment, such as diagnosis, substance use, hospitalization history, and misconceptions about disability benefits, often have little or no impact on competitive employment outcomes.

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OBJECTIVE: The influence of employment on subsequent psychiatric hospitalization for people with serious mental illness is unclear. This study examined whether unemployed people with serious mental illness were more or less likely to experience psychiatric hospitalization after gaining employment. METHODS: A secondary analysis was conducted of data from the Mental Health Treatment Study. Two years of prospective employment and psychiatric hospital outcomes were examined for 2,055 adults with schizophrenia, bipolar disorder, or major depression. The analyses examined associations between employment and psychiatric hospitalization via multilevel regression by using time-lagged modeling. RESULTS: Employment was associated with a lower subsequent three-month risk of psychiatric hospitalization (odds ratio=.65, 95% confidence interval=.50-.84) after the analysis adjusted for baseline characteristics, including previous psychiatric hospitalizations and self-reported physical health. CONCLUSIONS: Unemployed outpatients with serious mental illness were less likely to experience psychiatric hospitalization after gaining employment.

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BACKGROUND: Standard therapy for metastatic non small cell lung cancer (NSCLC) includes palliative systemic chemotherapy and/or radiotherapy. Recent studies of patients with limited metastases treated with curative-intent stereotactic body radiation therapy (SBRT) have shown encouraging survival. We hypothesized that patients treated with SBRT for limited metastases have comparable outcomes with those treated with curative-intent radiation for Stage III NSCLC. METHODS: We retrospectively reviewed the records of NSCLC patients treated with curative-intent radiotherapy at the University of Rochester from 2000-2008. We identified 3 groups of patients with NSCLC: stage III, stage IV, and recurrent stage IV (initial stage I-II). All stage IV NSCLC patients treated with SBRT had ≤ 8 lesions. RESULTS: Of 146 patients, 88% had KPS ≥ 80%, 30% had > 5% weight loss, and 95% were smokers. The 5-year OS from date of NSCLC diagnosis for stage III, initial stage IV and recurrent stage IV was 7%, 14%, and 27% respectively. The 5-year OS from date of metastatic diagnosis was significantly (p < 0.00001) superior among those with limited metastases (≤ 8 lesions) versus stage III patients who developed extensive metastases not amenable to SBRT (14% vs. 0%). CONCLUSION: Stage IV NSCLC is a heterogeneous patient population, with a selected cohort apparently faring better than Stage III patients. Though patients with limited metastases are favorably selected by virtue of more indolent disease and/or less bulky disease burden, perhaps staging these patients differently is appropriate for prognostic and treatment characterization. Aggressive local therapy may be indicated in these patients, though prospective clinical studies are needed.

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