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. Methods-Administrative claims data and electronic health records data from the 2016 NHCS were linked to 2015-2017 HUD administrative data using patient identifiers. HUD administrative data for Housing Choice Voucher, Public Housing, and Multifamily housing program participation were used to identify patients who received housing assistance before, during, or after their delivery hospitalization. Exploratory analyses were conducted for patients who had a delivery hospitalization in 2016 and were eligible for linkage to HUD administrative data. Demographic characteristics and maternal health outcomes were compared by housing assistance status. The linked NHCS-HUD data are unweighted and not nationally representative. Results-In the 2016 NHCS, 146,672 patients had a delivery hospitalization and were eligible for linkage to 2015-2017 HUD administrative data (95.6% had a live birth, 1.0% had a stillbirth, and 3.4% were unspecified). Among this study population, 9,559 patients (6.5%) received housing assistance from 2015 to 2017. Among those who received housing assistance, 66.5% visited large metropolitan hospitals, 71.8% were insured by Medicaid, and 3.0% experienced severe maternal morbidity. Among patients who did not receive housing assistance, 74.0% visited large metropolitan hospitals, 35.6% were insured by Medicaid, and 1.9% experienced severe maternal morbidity. Nearly two-thirds of patients who received housing assistance from 2015 to 2017 were receiving housing assistance at the time of their delivery hospitalization (63.6%). Conclusion-Although these findings are not nationally representative, this report illustrates how linked NHCS-HUD data may provide insight into maternal health outcomes of patients who received housing assistance compared with those who did not.

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. The resulting model was transcribed into a tool for practical application and tested in 1 internal and 2 fully independent, external samples. Development and internal testing was conducted in a split sample of 206 435 patients with T2D from Kaiser Permanente Northern California (KPNC), an integrated health care system. The tool was externally tested in 1 335 966 Veterans Health Administration and 14 972 Group Health Cooperative patients with T2D. Exposures: Based on a literature review, we identified 156 candidate predictor variables (prebaseline exposures) using data collected from electronic medical records. Main Outcomes and Measures: Hypoglycemia-related ED or hospital use during 12 months of follow-up. Results: The derivation sample (n = 165 148) had a mean (SD) age of 63.9 (13.0) years and included 78 576 (47.6%) women. The crude annual rate of at least 1 hypoglycemia-related ED or hospital encounter in the KPNC derivation sample was 0.49%. The resulting hypoglycemia risk stratification tool required 6 patient-specific inputs: number of prior episodes of hypoglycemia-related utilization, insulin use, sulfonylurea use, prior year ED use, chronic kidney disease stage, and age. We categorized the predicted 12-month risk of any hypoglycemia-related utilization as high (>5%), intermediate (1%-5%), or low (<1%). In the internal validation sample, 2.0%, 10.7%, and 87.3% were categorized as high, intermediate, and low risk, respectively, with observed 12-month hypoglycemia-related utilization rates of 6.7%, 1.4%, and 0.2%, respectively. There was good discrimination in the internal validation KPNC sample (C statistic = 0.83) and both external validation samples (Veterans Health Administration: C statistic = 0.81; Group Health Cooperative: C statistic = 0.79). Conclusions and Relevance: This hypoglycemia risk stratification tool categorizes the 12-month risk of hypoglycemia-related utilization in patients with T2D using only 6 inputs. This tool could facilitate targeted population management interventions, potentially reducing hypoglycemia risk and improving patient safety and quality of life.