Publications by authors named "Jennifer A Bishop"
Article Synopsis
- Hospitals often face delays and bed shortages during health crises, prompting the need for better patient discharge strategies.
- This study developed machine learning models using Electronic Health Record data to assess and rank patients' readiness for discharge within 24 hours based on their admission type and duration of stay.
- The models showed high accuracy for discharges on the first day of admission, but predictive ability decreased for patients with longer stays, emphasizing the potential for improving patient flow in hospitals during peak times.
This paper examines the trends in concurrent use of cigarettes and other tobacco and sociodemographic variables associated with concurrent use among adult cigarette smokers in the United States. Data from the 1995/96, 1998, 2000, and 2001/02 Tobacco Use Supplements to the Current Population Survey were used to estimate concurrent use of tobacco among cigarette smokers among adults ages 18 years and older (n for all 4 survey groups=552,804). Concurrent use of tobacco fluctuated over the survey periods for current smokers and ranged from 3.
View Article and Find Full Text PDFObjectives: We sought to ascertain whether the tobacco industry has conceptualized the US immigrant population as a separate market.
Methods: We conducted a content analysis of major tobacco industry documents.
Results: The tobacco industry has engaged in 3 distinct marketing strategies aimed at US immigrants: geographically based marketing directed toward immigrant communities, segmentation based on immigrants' assimilation status, and coordinated marketing focusing on US immigrant groups and their countries of origin.