Background: Pressure Injury (PI) is a severe health problem that affects millions of people. As a preventive strategy for high-risk ICU patients, the appropriate selection of a support surface is essential for preventing PI, along with risk assessment and repositioning. Increasing skin temperature has been associated with a higher susceptibility to PI development.
Objective: This study aimed to evaluate thermal variations related to skin pressure in the sacral area of healthy individuals lying on three different mattresses models (standard, inflatable air, and egg crate).
Design: Experimental study.
Main Outcomes: Initially, a survey was performed to identify the mattresses models most used in four public university hospitals and preventive strategies adopted. And then, an experimental study was conducted with a non-probabilistic sample involving 28 individuals of both sexes, aged 18-35 years old. The volunteers were immobilized for 2 h, and temperature variations in the sacral region were obtained by acquiring thermal images.
Results: A significant difference was not found in the temperature recorded on the three mattresses models before the experiment. However, there were significant differences at the 1st and 31st minute (p < 0.001). The lowest temperature values were identified in the air inflatable mattress. Post-hoc comparisons revealed a significant difference between standard or egg crate mattresses and the inflatable air model.
Conclusion: The inflatable air mattress should be considered for preventing pressure injury in ICU patients since the temperature had returned to the initial value (pre-test) after the 31st min. In addition to the appropriate selection surface, risk assessment and positioning are essential to PI prevention strategies.
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http://dx.doi.org/10.1016/j.jtherbio.2022.103366 | DOI Listing |
Surg Obes Relat Dis
December 2024
Medtronic, PLC, Minneapolis, Minnesota.
Background: Robotic bariatric surgery adoption rates have increased, and the higher costs associated with robotic sleeve gastrectomy (rSG) are a concern.
Objectives: To investigate the factors associated with increased costs of rSG.
Setting: US hospital database.
Science
January 2025
Department of Geoscience, University of Wisconsin-Madison, Madison, WI, USA.
Accurately modeling the deformation of temperate glacier ice, which is at its pressure-melting temperature and contains liquid water at grain boundaries, is essential for predicting ice sheet discharge to the ocean and associated sea-level rise. Central to such modeling is Glen's flow law, in which strain rate depends on stress raised to a power of = 3 to 4. In sharp contrast to this nonlinearity, we found by conducting large-scale, shear-deformation experiments that temperate ice is linear-viscous ( 1.
View Article and Find Full Text PDFNurse Educ Today
January 2025
University of Washington, United States; Capella University, United States; Bellevue College, United States; Marymount University, Arlington, VA, United States; University of Texas Health Science Center at Houston, United States. Electronic address:
Background: Current literature demonstrates a gap in research involving mixed method study of clinical judgment development in prelicensure nursing students.
Objectives: Clinical judgment of two groups of nursing students were compared using the Lasater Clinical Judgment Rubric (LCJR).
Design: A mixed method convergent parallel quasi-experimental cross-sectional approach was used to determine if simulation increased clinical judgment skills between beginner and advanced pre-licensure nursing students.
PLoS One
January 2025
Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, Rio Grande do Norte, Brazil.
Bed regulation within Brazil's National Health System (SUS) plays a crucial role in managing care for patients in need of hospitalization. In Rio Grande do Norte, Brazil, the RegulaRN Leitos Gerais platform was the information system developed to register requests for bed regulation for COVID-19 cases. However, the platform was expanded to cover a range of diseases that require hospitalization.
View Article and Find Full Text PDFSci Total Environ
January 2025
Department of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
The COVID-19 pandemic highlighted shortcomings in forecasting models, such as unreliable inputs/outputs and poor performance at critical points. As COVID-19 remains a threat, it is imperative to improve current forecasting approaches by incorporating reliable data and alternative forecasting targets to better inform decision-makers. Wastewater-based epidemiology (WBE) has emerged as a viable method to track COVID-19 transmission, offering a more reliable metric than reported cases for forecasting critical outcomes like hospitalizations.
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