COVID Collaborations: A Physician Assistant Program and Health Department Partnership.

ABSTRACT: The onset of the COVID-19 pandemic resulted in the displacement of clinical-phase medical learners across the country. Physician assistant (PA) and other health professions programs were challenged to innovate and offer alternate learning experiences that would meet students' needs as future health care professionals. At the same time, local and state health departments were faced with quickly increasing their capacity for contact tracing and case investigation in response to the growing number of COVID-19 infections. Through a collaborative partnership based on the needs of the local health department and clinical-phase PA students, the Duke PA program developed an elective in which students served as contact tracers and case investigators. PA students provided over 1500 hours of contact tracing and case investigation support to the local health department. Qualitative review showed students gained a greater appreciation of the impact of social determinants of health, saw first-hand how the pandemic disproportionately affected communities of color, and increased their knowledge about the role of public health. The partnership between the PA program and the health department was mutually beneficial and established a foundation for future collaborative experiences that support both the community and the needs of health professions' learners.

Just for Us: in-home care for frail elderly and disabled individuals with low incomes.

In response to increasing concerns about health care access, cost, and quality, Duke University Medical Center began a community-engaged, iterative, data-driven process in 1998 to develop innovative models to provide care earlier, more effectively, and at a lower cost. This commentary reviews Just for Us, an in-home care program launched in 2002 for low-income, frail elderly and disabled individuals.

Dynamics of patient targeting for care management in Medicaid: a case study of the Durham Community Health Network.

Targeting appropriate patients for care management is crucial to maximizing quality of care and cost-effectiveness in Medicaid care management programs. This study examined patient characteristics predicting selection for care management pre- and postmanagement changes at the Durham Community Health Network (DHCN), one of North Carolina's Medicaid primary care management networks. From the beginning, care managers were directed to target asthmatics, diabetics, and high-volume utilizers of health care, using an array of markers to identify patients who needed management. In 2003, the state reinforced its focus on chronic disease and high utilizers, and new management at DCHN began emphasizing the use of protocols for patient targeting. This study examined the relative effects of patient demographics, diagnoses, PCP group, and health care utilization as predictors of patient selection before and after these changes.

Assessing the potential economic value of health information technology interventions in a community-based health network.

Health information professionals recognize the need to demonstrate that the benefits of health information technological (HIT) interventions outweigh their costs. However, such cost-benefit analyses are rarely conducted for HIT interventions, due in part to the lack of a standard methodology. In this study, we describe how the U.S. Public Health Service's guidelines for health economic analyses can be used to evaluate HIT interventions. This framework is described in the context of an economic analysis we are conducting for three HIT interventions to be implemented in a community-based health network caring for Medicaid beneficiaries in Durham County, North Carolina. At present, the 17,779 patients in our study cost Medicaid more than $5 million per month. In sensitivity analyses, we demonstrate that if our information intervention redirects just 10% of low-severity emergency room encounters to outpatient encounters, it will result in $12,523 of monthly savings to the local health system.

Developing a framework for conducting economic evaluations of community-based health information technology interventions.

This study describes a framework for conducting economic analyses for health information technology (HIT) interventions, in the context of three interventions that are currently being implemented in a community-based health network caring for 17,779 Medicaid beneficiaries in Durham County, North Carolina. We show that if the HIT interventions were to redirect only 10% of low-severity emergency room encounters to outpatient care, it will result in $12,523 of monthly savings.