The Use of Prophylactic Foam Dressings for Prevention of Hospital-Acquired Pressure Injuries: A Systematic Review.

PURPOSE: The purpose of this systematic review was to identify and evaluate the use of prophylactic foam dressings for prevention of hospital-acquired pressure injuries (HAPIs). METHODS: A systematic review was conducted in accordance with the Preferred Reporting Items of Systematic Reviews and Meta-analysis Statement (PRISMA). SEARCH STRATEGY: Four researchers independently conducted searches in Health Source, Cochrane of Systematic Reviews, CINAHL, and PubMed. Search terms included: "pressure* OR skin breakdown AND sacrum*"; "ICU patient* OR critical care patient*"; and "foam dressing OR prophylactic* or prevent*." FINDINGS: The search identified 380 articles; 14 met eligibility criteria. The methodological quality of the included studies was variable. Findings from all studies included in our review support a decrease in HAPI incidence with use of sacral foam dressings. IMPLICATIONS: Findings from this review suggest that prophylactic foam dressings decrease sacral HAPI occurrences in critical care patients. While additional research is needed, current best evidence supports use of prophylactic foam sacral dressings for patients at risk for HAPI.

The Age of Satisficing? Juggling Work, Education, and Competing Priorities during the COVID-19 Pandemic.

The coronavirus disease 2019 pandemic continues to shape individuals' decisions about employment and postsecondary education. The authors leverage data from a longitudinal qualitative study of educational trajectories to examine how individuals responded to the shifting landscape of work and education. In the final wave of interviews with 56 individuals who started their postsecondary education at a community college 6 years ago, the authors found that most respondents described engaging in satisficing behaviors, making trade-offs to maintain their prepandemic trajectories where possible. More than a quarter of individuals, primarily those with access to fewer resources, described trajectories fraught with insecurity; they struggled to juggle competing obligations, especially in the face of an unpredictable labor market. A small portion of participants described making optimizing decisions, which were sometimes risky, to prioritize their aspirations. These descriptive patterns may partially explain mechanisms shaping recent shifts in employment and postsecondary education, including lower labor-market engagement and declines in college enrollment.

On the Development of the SIMon Finite Element Head Model.

The SIMon (Simulated Injury Monitor) software package is being developed to advance the interpretation of injury mechanisms based on kinematic and kinetic data measured in the advanced anthropomorphic test dummy (AATD) and applying the measured dummy response to the human mathematical models imbedded in SIMon. The human finite element head model (FEHM) within the SIMon environment is presented in this paper. Three-dimensional head kinematic data in the form of either a nine accelerometer array or three linear CG head accelerations combined with three angular velocities serves as an input to the model. Three injury metrics are calculated: Cumulative strain damage measure (CSDM) - a correlate for diffuse axonal injury (DAI); Dilatational damage measure (DDM) - to estimate the potential for contusions; and Relative motion damage measure (RMDM) - a correlate for acute subdural hematoma (ASDH). During the development, the SIMon FEHM was tuned using cadaveric neutral density targets (NDT) data and further validated against the other available cadaveric NDT data and animal brain injury experiments. The hourglass control methods, integration schemes, mesh density, and contact stiffness penalty coefficient were parametrically altered to investigate their effect on the model's response. A set of numerical and physical parameters was established that allowed a satisfactory prediction of the motion of the brain with respect to the skull, when compared with the NDT data, and a proper separation of injury/no injury cases, when compared with the brain injury data. Critical limits for each brain injury metric were also established. Finally, the SIMon FEHM performance was compared against HIC15 through the use of NHTSA frontal and side impact crash test data. It was found that the injury metrics in the current SIMon model predicted injury in all cases where HIC15 was greater than 700 and several cases from the side impact test data where HIC15 was relatively small. Side impact was found to be potentially more injurious to the human brain than frontal impact due to the more severe rotational kinematics.