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This study examines rates of admission and patterns of mental health service use by persons of transition age (16-25 years) in the USA based on the nationally representative 1997 Client/Patient Sample Survey and population data from the US Census Bureau. A precipitous decline in utilization was observed at the age of emancipation: the yearly admission rate for inpatient, outpatient, and residential services was 34 per 1,000 for 16- and 17-year-olds and 18 per 1,000 for 18- and 19-year-olds. Among 20- and 21-year-olds, more were referred from criminal justice and fewer from family or friends and social services, and proportionately more were Medicaid recipients. Targeting resources to enhance shared planning between child and adult systems may facilitate continuity of care for young adult clients who are aging out of child mental health systems, as well as for those who experience their first episodes of mental disorder in early adulthood.

Data from various national surveys find that approximately half the population with mental disorders is gainfully employed across the entire range of occupations; such persons have an employment rate of about two-thirds that of the general population. More than a third of persons with serious mental illness also work, and many hold high-status positions. Among those with schizophrenia, a diagnosis associated with high impairment, only slightly more than a fifth are at work, and 12 percent are working full time. Approximately two-thirds are enrolled in federal disability insurance programs. Our analyses indicate considerable diversity of jobs among persons with various mental disorders. Most persons with mental illness want to work, and some with even the most serious mental disorders hold jobs requiring high levels of functioning. Educational attainment is the strongest predictor of employment in high-ranking occupations among both the general population and persons with mental disorders.

Medicaid claims and eligibility data, particularly when linked to other sources of patient-level and contextual information, represent a powerful and under-used resource for health services research on the use and outcomes of prescription drugs. However, their effective use poses many methodological and inferential challenges. This article reviews strengths, limitations, challenges, and recommended strategies in using Medicaid data for research on the initiation, continuation, and outcomes of prescription drug therapies. Drawing from published research using Medicaid data by the investigators and other groups, we review several key validity and methodological issues. We discuss strategies for claims-based identification of diagnostic subgroups and procedures, measuring and modeling initiation and persistence of regimens, analysis of treatment disparities, and examination of comorbidity patterns. Based on this review, we discuss "best practices" for appropriate data use and validity checking, approaches to statistical modeling of longitudinal patterns in the presence of typical challenges, and strategies for strengthening the power and potential of Medicaid datasets. Finally, we discuss policy implications, including the potential for the research use of Medicare Part D data and the need for further initiatives to systematically develop and optimally use research datasets that link Medicaid and other sources of clinical and outcome information.