Does Mental Illness Affect Consumer Direction of Community-Based Care? Lessons From the Arkansas Cash and Counseling Program

Purpose: Previous research from the Cash and Counseling Demonstration and Evaluation (CCDE) in Arkansas, New Jersey, and Florida suggests that giving consumers control over their personal care greatly increases their satisfaction and improves their outlook on life. Still, some argue that consumerdirected care may not be appropriate for consumers with intellectual disabilities or mental health diagnoses. This study examined how Cash and Counseling— a new option allowing consumers to manage an individualized budget equivalent to what agencies would have spent on their care—changes the way consumers with mental health diagnoses meet their personal care needs and how that affects their wellbeing. Design and Methods: Using the Arkansas CCDE baseline and the 9-month follow-up data for individuals in the treatment and control groups, we compared and contrasted the experience of elderly consumers with and without mental health diagnoses utilizing logit regression. Results: After examining several outcome measures, including satisfaction with care arrangements and the paid caregiver’s reliability and schedule, unmet needs, and satisfaction with the relationship with paid caregivers, this study found evidence that, from the perspective of consumers, the Cash and Counseling program works well for participants with mental health diagnoses. Implications: Considering the growing need for long-term-care services and the limited resources available, a consumer-directed option makes sense, and it can be a valuable alternative for persons with mental health needs.

An action research strategy for selecting and conducting program evaluations.

Describes a strategy for school psychologists to use in selecting the types of program evaluation required to meet system needs. Dimensions of program evaluation—target, purpose, and stage—relevant to school psychologists are described and defined and combined into a conceptual framework indicating 48 different types of program evaluation. The proposed model incorporates relevant aspects of existing program evaluation strategies and action research, affording practitioners a strategy for selecting and conducting program evaluations. Suggested steps for implementing the action research strategy, as well as a hypothetical example of its use, are offered.

State Pharmaceutical Assisstance for the Elderly and Disabled: Planning Issues for Program and Non-Program States

The Medicare Catastrophic Coverage Act (MCCA) would have mandated federal assistance for Medicare beneficiaries who have high annual prescription medication costs, High national expenditures for such drugs have encouraged the development of private and state insurance programs to help with these costs. Ten state pharmaceutical assistance programs (SPAPs), designed to help certain elderly, low income, or disabled people, exist for those ineligible for Medicaid or unable to purchase coverage privately. Coordination of state and federal benefits was a consideration for established programs, and programs being planned needed to determine the feasibity of integration of federal assistance. But the enactment and subsequent appeal of the Act affected both planning and policy implications for these SPAPs. All U.S. states and territories were surveyed before the bill's repeal to collect data on the effects of MCCA for those with prescription drug programs and those without. The repeal of the federal program places pressure on the nonprogram states to proceed, perhaps more cautiously, to initiate program; for their own residents, given increasing out-of-pocket and insurance costs, and no federal program.

Trends in the Association Between Socioeconomic Status and Obesity in U.S. Adults: 2002-2012

Since the 1980s, the prevalence of obesity has more than doubled to over 30 percent of the adult population (Thorpe, 2004). Obesity is a key contributing factor to continually rising national healthcare costs. Addressing its negative implications is essential not only from a cost perspective, but also for the betterment of our nation¿s general health and wellbeing. Obesity is reportedly associated with a 35% increase in inpatient and outpatient spending, as well as a 77% increase in related necessary medications (Sturm, 2002). Obesity, which some have argued should be classified as a disease in itself, has roughly the same association with the development of chronic health conditions as does 20 years of aging (Sturm, 2002). Defined as ambulatory care-sensitive conditions, these obesity-related chronic health diagnoses ¿ like diabetes, cardiovascular disease, and hypertension ¿ are in turn the primary drivers of current healthcare spending, as well as future predicted health expenditures. It is well established that lower socioeconomic status (SES) is associated with higher rates of obesity and the subsequent development of aforementioned obesity-related conditions. Socioeconomic status has traditionally been defined by education, income, and occupation (Adler, 2002); however, this study found empirical evidence for education being the most fundamental of these three SES indicators in determining obesity outcomes. For both men and women, as education levels increased, the likelihood of an individual being obese decreased. However, with less education, there was increased disparity between the obesity rates for men and women. Women consistently saw higher rates of obesity and were more impacted in terms of obesity onset by belonging to a lower SES category than men. In addition, this study assessed whether the impact of one¿s socioeconomic status on obesity-related health outcomes (specifically the negative impact low-SES as measured by education level) has changed over time. Results deriving from annual data from the National Health Interview Survey (NHIS) for all years from 2002 to 2012 indicate that the association between low-socioeconomic status and negative health outcomes has not increased in magnitude over the past decade. Instead, obesity rates have increased across the overall U.S. adult population, most likely due to a number of larger external societal factors resulting in increased caloric intake and decreased energy expenditure across every SES group. In addition, while the association between low-SES and obesity has not worsened, a consequence of the Great Recession has been a larger percentage of the U.S. population in lower-SES, which is still consistently subject to the same worse health outcomes.