Readmission Following Hospitalization for Traumatic Brain Injury: A Nationwide Study.

OBJECTIVE: To determine whether sociodemographic and clinical factors were associated with nonelective readmission within 30 days of hospitalization for traumatic brain injury (TBI). Secondary objectives were to examine the effects of TBI severity on readmission and characterize primary reasons for readmission. SETTING: Hospitalized patients in the United States, using the 2014 Nationwide Readmission Database. PARTICIPANTS: All patients hospitalized with a primary diagnosis of TBI between January 1, 2014, and November 30, 2014. We excluded patients (1) with a missing or invalid length of stay or admission date, (2) who were nonresidents, and 3) who died during their index hospitalization. DESIGN: Observational study; cohort study. MAIN MEASURES: Survey weighting was used to compute national estimates of TBI hospitalization and nonelective 30-day readmission. Associations between sociodemographic and clinical factors with readmission were assessed using unconditional logistic regression with and without adjustment for suspected confounders. RESULTS: There were 135 542 individuals who were hospitalized for TBI; 8.9% of patients were readmitted within 30 days of discharge. Age (strongest association for 65-74 years vs 18-24 years: adjusted odds ratio [AOR], 2.57; 95% CI: 2.02-3.27), documentation of a fall (AOR, 1.24; 95% CI: 1.13-1.35), and intentional self-injury (AOR, 3.13; 95% CI: 1.88-5.21) at the index admission were positively associated with readmission. Conversely, history of a motor vehicle (AOR, 0.69; 95% CI: 0.62-0.78) or cycling (AOR, 0.56; 95% CI: 0.40-0.77) accident was negatively associated with readmission. Females were also less likely to be readmitted following hospitalization for a TBI (AOR, 0.87; 95% CI: 0.82-0.92). CONCLUSIONS: Many sociodemographic and clinical factors were found to be associated with acute readmission following hospitalizations for TBI. Future studies are needed to determine the extent to which readmissions following TBI hospitalizations are preventable.

Health Care Students' Perspectives on Artificial Intelligence: Countrywide Survey in Canada.

BACKGROUND: Artificial intelligence (AI) is no longer a futuristic concept; it is increasingly being integrated into health care. As studies on attitudes toward AI have primarily focused on physicians, there is a need to assess the perspectives of students across health care disciplines to inform future curriculum development. OBJECTIVE: This study aims to explore and identify gaps in the knowledge that Canadian health care students have regarding AI, capture how health care students in different fields differ in their knowledge and perspectives on AI, and present student-identified ways that AI literacy may be incorporated into the health care curriculum. METHODS: The survey was developed from a narrative literature review of topics in attitudinal surveys on AI. The final survey comprised 15 items, including multiple-choice questions, pick-group-rank questions, 11-point Likert scale items, slider scale questions, and narrative questions. We used snowball and convenience sampling methods by distributing an email with a description and a link to the web-based survey to representatives from 18 Canadian schools. RESULTS: A total of 2167 students across 10 different health professions from 18 universities across Canada responded to the survey. Overall, 78.77% (1707/2167) predicted that AI technology would affect their careers within the coming decade and 74.5% (1595/2167) reported a positive outlook toward the emerging role of AI in their respective fields. Attitudes toward AI varied by discipline. Students, even those opposed to AI, identified the need to incorporate a basic understanding of AI into their curricula. CONCLUSIONS: We performed a nationwide survey of health care students across 10 different health professions in Canada. The findings would inform student-identified topics within AI and their preferred delivery formats, which would advance education across different health care professions.

A quasi-experimental examination of weight-reducing dehydration practices in collegiate male rowers.

BACKGROUND: Lightweight rowers commonly utilize weight loss techniques over 24-h before competition to achieve the qualifying weight for racing. The objective was to investigate, using a quasi-experimental design, whether changes in weight resulting from dehydration practices are related to changes in proxies of bodily systems involved in rowing and whether these relationships depend on the dehydration technique used. METHODS: Twelve elite male rowers performed a power test, an incremental VO2max test, and a visuomotor battery following: weight loss via thermal exposure, weight loss via fluid abstinence and then thermal exposure, and no weight loss. The total percent body mass change (%BMC), %BMC attributable to thermal exposure, and %BMC attributable to fluid abstinence were used to predict performance variables. RESULTS: Fluid abstinence but not thermal exposure was related to a lower total wattage produced on a incremental VO2max test (b = 4261.51 W/1%BMC, 95%CI = 1502.68-7020.34), lower wattages required to elicit 2 mmol/L (b = 27.84 W/1%BMC, 95%CI = 14.69-40.99) and 4 mmol/L blood lactate (b = 20.45 W/1%BMC, 95%CI = 8.91-31.99), and slower movement time on a visuomotor task (b = -38.06 ms/1%BMC, 95%CI = -62.09--14.03). CONCLUSIONS: Dehydration related weight changes are associated with reductions in some proxies of bodily systems involved in rowing but depend on the dehydration technique used.