The Nationwide Readmissions Database is part of the Healthcare Cost and Utilization Project (HCUP) family of databases. The NRD is derived from the HCUP State Inpatient Databases (SID), and aims to provide nationally represenative data to support hospital readmission analyses. The NRD includes all-payer inpatient discharges from HCUP partner community hospitals in the SID which have verifiable patient linkage numbers. These synthetic linkage numbers allow analysts to track patients across hospital stays, while maintaining patient privacy. The NRD contains over 14 million discharge records per data year from about 85% of SID discharges from participating states. The 122 data elements in the NRD include diagnostic and procedure codes, and hospital characteristics. The data cannot be used to track readmissions across states or across data years or used for state-, facility-, or physician-level analyses.

This study investigated demographic trends over time in the use of prescription opioids versus heroin among addicted individuals. ICD9 codes associated with hospitalizations for overdoses from either prescription opioids (POD) or heroin (HOD) were harvested from the Nationwide Inpatient Sample (NIS) for the years 1993 through 2009, inclusive. Population data were taken from U.S. Census statistics. Demographic specific rates of POD and HOD hospital admissions were analyzed to determine if fluctuations in the dynamics of one form of opiate, such as supply-based reduction, are correlated with changes in the rates of overdoses of the other. Dataset includes statistical and demographic data.

The COVID-19 pandemic severely affected blood collection activities due to social distancing requirements, deferral of blood drives, and other measures to prevent spread of infection. Medical facilities also experienced changes in blood usage patterns with the cancellation of elective surgeries. To evaluate fluctuating blood inventory levels, the University of Maryland Medical Center (UMMC) built an R-based workflow to facilitate rapid and repeatable analysis and visualization of blood usage data extracted from the Cerner Laboratory Information System (LIS). The generation of daily reports by blood product and hospital unit promoted informed decision-making with regard to changing ordering practices to avoid wastage. This dataset consists of 5 R Markdown workflow files and one README file. The workflows will continue to be updated in the GitHub repository as additional R Markdown documents are written to assist in identifying large users, optimize data cleaning and product identification, establish safe inventory levels based on historical and recent usage, and establish web‐based functionality via the shiny pack.

Due to constraints in vaccine supply, this agent-based model of COVID-19 transmission was developed to compare the impact of two vaccination strategies: 1) vaccinate more individuals with the first dose of available vaccines and delay the second dose or 2) to continue with the recommended 2-dose series as tested in clinical trials. Model population was stratified into 6 age groups of 0 to 4, 5 to 19, 20 to 49, 50 to 64, 65 to 79, and 80+ years based on United States census data.

This study aimed to clarify the extent to which surgeons are trained in operating room hazards and assess the self-reported exposure rate across surgical specialties and academic levels. The authors implemented a cross-sectional electronic 21-item questionnaire, through Qualtrics, to surgical attendings, fellows, and residents from June to August 2019 at Johns Hopkins Hospital and affiliated hospitals. The survey evaluated 13 occupational hazards: bloodborne pathogens, surgical smoke, ergonomics, radiation, sharp injuries, inhalation exposure to methylmethacrylate, cytotoxic drugs, formaldehyde, patient lifting, prolonged standing, surgical hand scrub, surgical noise, and anesthetic gases. Data was analyzed using IBM's Statistical Package for the Social Sciences (SPSS).

Dataset is comprised of heroin overdose-related and prescription opioid overdose-related hospitalization rates for the years 2000 through 2014. Data is derived from the Healthcare Cost and Utilization Project (HCUP) Nationwide Inpatient Sample (NIS). Included are rates by census region and division with separate rates for age and race.

Dataset comprises hospitalization rates for opioid injection-related skin and soft-tissue infections (O-SSTI) correlated with changes in the price and purity of heroin for the years 1993 through 2010, inclusive. Data is derived from the Healthcare Cost and Utilization Project (HCUP) Nationwide Inpatient Sample (NIS) and the Drug Enforcement Administration (DEA) System to Retrieve Information from Drug Evidence (STRIDE) databases for 27 Metropolitan Statistical Areas (MSAs).