National Hospital Care Survey Demonstration Projects: Examination of Maternal Health Outcomes by Housing Assistance Status.

Objectives-Objective-This report demonstrates the use of linked National Hospital Care Survey (NHCS) and U.S. Department of Housing and Urban Development (HUD) administrative data to examine demographic characteristics and maternal health outcomes among both patients who received and did not receive housing assistance.

National Hospital Care Survey Demonstration Projects:Mortality Following Nonfatal Opioid Overdose Visits to the Emergency Department.

Objective-This report provides a descriptive analysis of a sample of adult patients who visited the emergency department (ED) for nonfatal opioid overdose (NOO), using restricted-use 2016 National Hospital Care Survey data linked to the 2016-2017 National Death Index and the 2016-2017 Drug-Involved Mortality data from the National Center for Health Statistics.

National Hospital Care Survey Demonstration Projects: Severe Maternal Morbidity in Inpatient and Emergency Departments.

Objective-This report demonstrates the ability of the National Hospital Care Survey (NHCS) to examine delivery hospitalizations involving severe maternal morbidity (SMM). These data are unweighted and not nationally representative, so the results are intended to illustrate the unique capability of NHCS to track patients across hospitalizations and emergency department (ED) visits rather than provide nationally representative estimates of these outcomes.

Development and Validation of a Tool to Identify Patients With Type 2 Diabetes at High Risk of Hypoglycemia-Related Emergency Department or Hospital Use.

Importance: Hypoglycemia-related emergency department (ED) or hospital use among patients with type 2 diabetes (T2D) is clinically significant and possibly preventable.

Objective: To develop and validate a tool to categorize risk of hypoglycemic-related utilization in patients with T2D.

Design, Setting, And Participants: Using recursive partitioning with a split-sample design, we created a classification tree based on potential predictors of hypoglycemia-related ED or hospital use.