Integrating Social Determinants of Health in Machine Learning-Driven Decision Support for Diabetes Case Management: Protocol for a Sequential Mixed Methods Study.

Background: The use of both clinical factors and social determinants of health (SDoH) in referral decision-making for case management may improve optimal use of resources and reduce outcome disparities among patients with diabetes.

Objective: This study proposes the development of a data-driven decision-support system incorporating interactions between clinical factors and SDoH into an algorithm for prioritizing who receives case management services. The paper presents a design for prediction validation and preimplementation assessment that uses a mixed methods approach to guide the implementation of the system.

Blenderized food tube feeding in patients with head and neck cancer.

Background: Patients with headand neck cancer (HNC) are at high risk for malnutrition before and during chemoradiation treatment. Many will also require tube feeding to address declines in energy intake, weight, and quality of life (QOL) caused by the impact of treatment on gastrointestinal (GI) symptoms. Blenderized tube feeding (BTF) may ameliorate these adverse conditions.

Take it to the resident: A model for engaging long-term stay residents in advance care planning.

Advance care planning involves a meaningful conversation about residents' end of life goals with the health-care team and documenting these wishes in advance directives; however, these conversations are not taking place early enough or with strategies that allow nursing home residents' preferences to be meaningfully integrated into care plans. This article outlines a new model that nursing home social workers can use to initiate advance care planning discussions called . This model was tested with 11 long-term stay nursing home residents.