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The last several decades have brought about a paradigm shift in the conceptualization of disability (Fougeyrollas & Beauregard, 2001; Williams, 2001). The traditional medical model considers disability to be a characteristic of the person, situated within the body. In the medical model view, disability, or difficulty functioning in major life domains, results from bodily impairments associated with a medical diagnosis or disorder, and a medical intervention or treatment is required to “correct” the problem of the individual. Alternatively, contemporary social models argue that disability is a social construction. In the social model view, disability is created by social policies, stigma and other barriers within the social and physical environment. Changes in attitudes and policies and the removal of barriers are needed to “correct” these environmental problems.

Resource constraints at all levels of the criminal justice system as well as the lack of a widely accepted, validated screening scale have made it difficult to screen adequately for serious mental illnesses (SMI) in offender populations. This study examined the use of the K6 scale, a recently developed and validated screening tool for SMI, using a sample of past-year arrestees. Among the main findings were that 18% of the sample screened positive for SMI. In contrast, commonly used screening questions misidentified a large proportion of arrestees with SMI. Based on these findings, we recommend the use of K6 scale to more accurately identify offenders with SMI.

Individuals suffering from serious mental illness (SMI) face many challenges of navigating a complex and often fragmented health care system and may die significantly earlier from co-morbid physical health conditions. Integrating mental and physical health care for individuals with SMI is an emerging trend addressing the often-neglected physical health care needs of this population to better coordinate care and improve health outcomes.

Population Health Management (PHM) provides a useful framework for designing integrated care programs for individuals with SMI.

This paper examines the structure and evolution of the integrated care program in Missouri in the context of PHM, highlighting particular elements of PHM that facilitate and support development of an integrated mental and physical health care program.

As health care reform provides external motivation to provide integrated care, this study can be useful as other states attempt to address this important issue.

Significant unemployment among adults with serious mental illness (SMI) is a well-documented problem. Estimates suggest that as many as 85% of adults with SMI are unemployed at any one time (Anthony & Blanch, 1987; Milazzo-Sayre, Henderson & Manderscheid, 1997; Rogers, Walsh, Masotta & Danley, 1991). Recent years have seen advances in the development and dissemination of a variety of supported employment services for adults with disabilities. When people with SMI are enrolled in services with a specific employment focus, they achieve employment outcomes (e.g. job placement rates, job tenure) superior to those achieved by people receiving standard mental health services such as day treatment (Bond et al., 2001; Cook, 2003). Supported employment is now considered an “evidenced-based” practice (Bond et al., 2001). Although supported employment approaches vary, evidence-based services share common principles, including (1) prioritizing client preferences for type and timing of work; (2) providing in-vivo and follow-along supports as long as needed; (3) viewing work attempts as part of a learning opportunity; (4) having a commitment to “competitive” employment as an attainable goal; and (5) not relying on pre-vocational training, day treatment or sheltered workshops (Bond et al., 2001; Mowbray, Leff, Warren, McCrohan et al., 1997; Ridgeway & Rapp, 1998).

Relationships are socially constructed by companies in interaction. This study explains the dynamic character of business-to-business relationships with the aid of rules theory, a theory borrowed from the communications field. Two forms of rules are identified: constitutive rules guide the interpretation of the other's acts, and regulative rules guide the appropriate response to the interpreted act. Rules theory asserts that companies act as if applying these rules. Relationships provide not only the context in which the parties’ acts are performed but are also the result of such acts. Thus, relationships are potentially reshaped each time one party performs an act and the other party gives meaning to that act and reacts.

All individuals are challenged by the movement from being an adolescent living at home and attending school to being an adult typically heading a household and working to support him or herself. This period of time is called the transition to adulthood and is even more challenging for youth from vulnerable populations such as youth with disabilities, in foster care, in juvenile justice system, and the like (Osgood, Foster, Flanagan, & Ruth, 2005). The ages that transition encompasses have not gained consensus in research literature or policy. It begins at ages 14–16 in policies such as the Individuals with Disabilities Education Act (IDEA; PL101-476, 1997 and 2004 amendments) or Federal programs such as the Social Security Administration's SSI Youth Transition Demonstration Projects, which identifies ages 22 and 25, respectively, as ending transition. Recent studies on young adulthood in the general population (Settersten, Frustenberg, & Rumbaut, 2005), found that by age 30, the rapid changes of young adulthood had typically stabilized. Thus, using the broadest ages indicated by policy and research, transition to stable adulthood encompasses ages 14–30.

To understand how people using community public mental health services conceptualize community and their place within it within the post-deinstitutionalization era.

Two hundred ninety-four service users completed structured interviews in two urban, outpatient, public, and community mental health facilities in the Northeast. Quantitative and qualitative responses to the MacArthur Scale of Subjective Social Status, Community Ladder version, were analyzed to understand perspectives on community.

Mean subjective community status ladder score among participants was five (SD = 2.56). Participants identified four broad categories of definitions of community: geographic community; community related to social definitions; contributing to society; and mental health service-user communities. Explanations for the location of their placement on the ladder (subjective community status) include comparisons to self and others, contributions to community, and social relationships. There was also a set of explanations that spoke to the intersection of multiple marginalizations and structural constraints. Finally, we explore relationships among understandings of community and perceptions of place within community.

Community integration is a critical concept for community public mental health services, but little research has explored how mental health service users conceptualize their communities and their roles within them. Understandings of community are crucial to appropriately support peoples’ needs within their communities. Furthermore, participants identify mechanisms that facilitate their personal community standing, and these are areas for potential intervention.

Empirical research on European stock markets has shown that they behave differently according to the performance of the leading financial market identified as the US market. A positive sign is viewed as good news in the international financial markets, a negative sign means, conversely, bad news. As a result, we assume that European stock market returns are affected by endogenous and exogenous shocks. The former raise in the market itself, the latter come from the US market, because of its most influential role in the world. Under standard assumptions, the distribution of the European market index returns conditionally on the sign of the one-day lagged US return is skew-normal. The resulting model is denoted Skew-GARCH. We study the properties of this new model and illustrate its application to time-series data from three European financial markets.