Southeastern United States Predictors of COVID-19 in Nursing Homes.

This study's aim was to determine nursing home (NH) and county-level predictors of COVID-19 outbreaks in nursing homes (NHs) in the southeastern region of the United States across three time periods. NH-level data compiled from census data and from NH compare and NH COVID-19 infection datasets provided by the Center for Medicare and Medicaid Services cover 2951 NHs located in 836 counties in nine states. A generalized linear mixed-effect model with a random effect was applied to significant factors identified in the final stepwise regression.

County-Level Social Determinants of Health and COVID-19 in Nursing Homes, United States, June 1, 2020-January 31, 2021.

Objectives: Nursing homes are a primary setting of COVID-19 transmission and death, but research has primarily focused only on factors within nursing homes. We investigated the relationship between US nursing home-associated COVID-19 infection rates and county-level and nursing home attributes.

Methods: We constructed panel data from the Centers for Medicare & Medicaid Services (CMS) minimum dataset, CMS nursing home data, 2010 US Census data, 5-year (2012-2016) American Community Survey estimates, and county COVID-19 infection rates.

Mapping community-level determinants of COVID-19 transmission in nursing homes: A multi-scale approach.

Deaths from the COVID-19 pandemic have disproportionately affected older adults and residents in nursing homes. Although emerging research has identified place-based risk factors for the general population, little research has been conducted for nursing home populations. This GIS-based spatial modeling study aimed to determine the association between nursing home-level metrics and county-level, place-based variables with COVID-19 confirmed cases in nursing homes across the United States.

Sandwich analytics: A dataset comprising one year's weekly sales data correlated with crime, demographics, and weather.

Data collected from a quick-serve sandwich chain over one year provide an opportunity to study market, sociographic, meteorologic, and other factors impacting sales and sales forecasting. The weekly sales table contains over 79,000 rows which each represent summary statistics for the sales of an individual menu item in one store during one week of the year. The data were collected from the point-of-sale system of 10 stores.

The inherent risks associated with newly traded biopharmaceutical firms.

Here, we provide a comprehensive study related to the risks of all biopharmaceutical firms going public in the USA between 1996 and 2015. We found 355 firms that met our requirements for being in the sector that focuses on creating drugs for humans. Collectively, these firms spent approximately US$86.

Health Belief Model Offers Opportunities for Designing Weight Management Interventions for College Students.

Objective: Identify weight-related beliefs of college students and test the predictive power of the Health Belief Model for body mass index (BMI).

Design: Cross-sectional online survey with beliefs measured on 5-point scales.

Setting: University in North Carolina.

Impact of CPOE usage on medication management process costs and quality outcomes.

We assess the impact of computerized physician order entry (CPOE) systems usage on cost and process quality in the medication management process. Data are compiled from 1,014 U.S.

An empirical analysis of nurse retention: what keeps RNs in nursing?

Objective: This study investigates the effects of stress, economic factors, altruism, and value congruence on intentions to leave jobs and the nursing profession.

Background: Retaining nurses will be critical for healthcare organizations as the demand for nurses increases. Regulation and cost pressures are changing the nursing work environment.

Adoption of health information technology for medication safety in U.S. Hospitals, 2006.

Health information technology (IT) is regarded as an essential tool to improve patient safety, and a range of initiatives to address patient safety are under way. Using data from a comprehensive, national survey from HIMSS Analytics, we analyzed the extent of health IT adoption for medication safety in U.S.