Faculty Bibliography

PURPOSE . To describe the collaborative process between a grocery retailer and a panel of nutrition experts used to develop a nutrition guidance system (Guiding Stars) that evaluates the nutrient profile of all edible products in the supermarket, and to report the results of the food and beverage ratings. DESIGN . A collaboration between a private retailer and members of the scientific community that led to the development of a scoring algorithm used to evaluate the nutritional quality of foods and beverages. SETTING/SUBJECTS . Northeast supermarkets (n  =  160). MEASURES . Food and beverage nutrition ratings and distribution of stars across different grocery categories. ANALYSIS . Descriptive statistics for rating distributions were computed. T-tests were conducted to assess differences in mean nutrient values between foods with zero versus three stars or a dichotomized variable representing all foods with one to three stars. RESULTS . All edible grocery items (n  =  27,466) were evaluated, with 23.6% earning at least one star. Items receiving at least one star had lower mean levels of sodium, saturated fat, and sugars and higher amounts of fiber than products not earning stars. CONCLUSION . The Guiding Stars system rates edible products without regard to brand or manufacturer, and provides consumers with a simple tool to quickly identify more nutritious choices while shopping. The low percentage of products qualifying for stars reflects poorly on the food choices available to Americans.

This review explores the relationship between engagement with the creative arts and health outcomes, specifically the health effects of music engagement, visual arts therapy, movement-based creative expression, and expressive writing. Although there is evidence that art-based interventions are effective in reducing adverse physiological and psychological outcomes, the extent to which these interventions enhance health status is largely unknown. Our hope is to establish a foundation for continued investigation into this subject and to generate further interest in researching the complexities of engagement with the arts and health.

The gap between current medical knowledge and its application in chronic disease management is especially apparent in diabetes care. Although research over the last decade has shown that adherence to standards of care can prevent or delay the onset of devastating diabetic complications, little more than one-third of patients achieve adequate glycaemic control. Obstacles to better care include 'system' factors such as inadequate record-keeping and reimbursement policies that reimburse amply for illness but poorly for diabetes education and interventions via telephone and computer. Disparities in healthcare compound the difficulty among vulnerable populations in urban and rural areas. Emerging healthcare delivery systems that encourage payers, providers and consumers to improve diabetes care with the use of information technology and financial incentives are described in different health management settings.

Disease management (DM) has become a widely accepted way to support care delivery in the chronically ill patient population. Patients enrolled in these programs have been shown to have better health, fewer complications and comorbidities, and lower health care costs. The development of advanced information management technologies is further enhancing the role DM plays in optimizing outcomes and cost-effectiveness in clinical care. These emerging information management technologies (EIMT) include advances in software, hardware, and networking, all of which share common impact attributes in their ability to improve cost-effectiveness of care, quality of care, and access to care. Specific examples include interactive websites with the ability to engage patients in the self-care management process, the embedding of biometric devices (digital scales, modem-enabled glucose meters in the home, blood pressure monitoring, etc.), workflow and care coordination programs that add intelligence via guideline-directed alerts and reminders to the delivery process, registries that include a summary of personal health data that can be used as a reference point for improved clinical decisions, and the systematic collection of aggregated, de-identified clinical, administrative, and cost data into comprehensive data sets to which predictive modeling analytic tools can be applied. By way of case example, we also present data from a controlled clinical trial utilizing EIMT in the form of home-based weight measurement using a digital scale and linkage to a care coordination center for the management of severe congestive heart failure. Outcome results on 85,515 patient-months of an aggregate commercial and Medicare continuously enrolled population demonstrated an average reduction of care utilization (hospitalization) of 57% and a reduction in related delivery cost (per member per year payments) of 55%. We conclude that EIMT have already begun to offer significant and quantifiable benefits to DM and are likely to become heavily embedded in care management strategies in the future.