Risky Business: Factors That Increase Risk of Falls Among Older Adult In-Patients.

In hospitals, older patients are at increased risk of falling multiple times. This study incorporated an epidemiologic cross-sectional design consisting of 4,348 older patients (≥65-year-old). Eight hundred eighty five (20.4%) in-patients experienced multiple falls while remaining participants had one fall incident. A patient fall event was recorded with age, sex, incident date, type of fall, and location. Logistic regression assessed risk factors found in patients with multiple falls compared to those with one fall. Significant differences were observed in the proportion of multiple falls: in a bed with no rails, standing, walking, and using a wheel/Geri chair (p < .05). Overall, sex, type of fall, and location were significant in predicting multiple falls (p < .05). Male patients were at 16.1% greater risk of multiple falls, when compared to females (p < .05). A fall in complex care, mental health, or respirology were more likely to experience multiple falls (OR = 2.659, 3.620, 1.593 respectively), while season had no impact.

What Factors Increase Odds of Long-Stay Delayed Discharge in Alternate Level of Care Patients?

OBJECTIVE: The objective of this study was to determine the factors that increase the odds of long-stay delayed discharge in alternate level of care (ALC) patients using data collected from the Ontario Wait Time Information System (WTIS) database. DESIGN: Retrospective cohort study utilizing data from Niagara Health's WTIS database. WTIS includes individuals admitted to any of the Niagara Health sites that have been designated as ALC. SETTING AND PARTICIPANTS: Sample consisted of 16,429 ALC patients who received care in Niagara Health hospitals from September 2014 to September 2019 and were recorded in the WTIS database. METHODS: ALC designation of 30 or more days was used as the threshold for a long-stay delayed discharge. This study used binary logistic regression modeling to analyze sex, age, admission source, and discharge destination as well needs/barriers requirements to assess the likelihood of a long-stay delayed discharge among acute care (AC) and post-acute care (PAC) patients given the presence of each variable. Sample sizes calculations and receiver operating characteristic curves were used to verify the validity of the regression model. RESULTS: Overall, 10.2% of the sample were considered long-stay ALC patients. Both AC and PAC long-stay ALC patients were more likely to be male [OR = 1.23, (1.06-1.43); OR = 1.28, (1.03-1.60)] and have a discharge destination of a long-term care bed [OR = 28.68, (22.83-36.04); OR = 6.22, (4.75-8.15)]. AC patients had bariatric [OR = 7.16, (3.45-14.83)], behavioral [OR = 1.89, (1.22-2.91)], infection (isolation) [OR = 2.31, (1.63-3.28)], and feeding [OR = 6.38, (1.82-22.30)] barriers hindering discharge. PAC patients had no significant barriers hindering patient discharge. CONCLUSIONS AND IMPLICATIONS: Shifting the focus from ALC patient designation to short- vs long-stay ALC patients allowed this study to focus on the subset of patients that are disproportionately affecting delayed discharges. Understanding the importance of specialized patient requirements in addition to clinical factors can help hospitals become more prepared in preventing delayed discharges.

Sentiment and hype of business media topics and stock market returns during the COVID-19 pandemic.

We examine COVID-19 related topics discussed in the printed edition of the Wall Street Journal. Using text analytics and topic modeling algorithms, we discover 15 distinct topics and present differences in their sentiment (polarity) and hype (intensity of coverage) trends throughout 2020. Importantly, the hype of the topic, not the sentiment, relates to stock market returns. In particular, the hype scores for Debt market and Financial markets have the strongest positive relation to the stock market performance.