Compassion fatigue (CF), or vicarious traumatization, is a state of physical/emotional distress that results from caring for those experiencing pain. We sought to characterize levels of CF in intensive care unit (ICU) and oncology nursing populations with subanalyses comparing specific personal/professional demographic factors. The Professional Quality of Life (ProQOL) scale, a validated tool for assessing CF, burnout (BO), and compassion satisfaction (CS), was distributed to the ICU and oncology divisions of a community hospital. Demographic data and ProQOL scale scores were collected and compared within specialty and gender subgroups. Two-sample t tests and regression analyses were used to compare groups. Statistical significance was defined as p < .05. A total of 86 nurses submitted completed surveys able to be analyzed. Levels of CS were significantly lower (p = .023) and levels of BO were significantly higher (p = .029) in ICU nurses than in oncology nurses. Male nurses exhibited significantly higher CS (p = .001) and significantly lower BO (p = .021) and CF (p = .014) than female nurses. Intensive care unit nurses and female nurses from both ICU and oncology specialties may be at increased risk for developing a poorer overall ProQOL and CF.

Diverse organisms, from insects to humans, actively seek out sensory information that best informs goal-directed actions. Efficient active sensing requires congruity between sensor properties and motor strategies, as typically honed through evolution. However, it has been difficult to study whether active sensing strategies are also modified with experience. Here, we used a sensory brain–machine interface paradigm, permitting both free behavior and experimental manipulation of sensory feedback, to study learning of active sensing strategies. Rats performed a searching task in a water maze in which the only task-relevant sensory feedback was provided by intracortical microstimulation (ICMS) encoding egocentric bearing to the hidden goal location. The rats learned to use the artificial goal direction sense to find the platform with the same proficiency as natural vision. Manipulation of the acuity of the ICMS feedback revealed distinct search strategy adaptations. Using an optimization model, the different strategies were found to minimize the effort required to extract the most salient task-relevant information. The results demonstrate that animals can adjust motor strategies to match novel sensor properties for efficient goal-directed behavior.

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Background Meningiomas are the second most common primary tumors of the central nervous system. However, there is a paucity of literature examining how healthcare, demographic, and socioeconomic factors impact patient outcomes. Methods We conducted a retrospective study of 65,812 patients from the National Cancer Database (NCDB; 2004-2012) who received treatment for their meningioma. Univariate and multivariate analyses were performed with the overall five-year survival as the primary outcome, and the following factors: facility type, geography, housing area, patient insurance, sex, ethnicity, race, income, and education. The multivariate model was adjusted for patient age, co-morbidity, tumor size, behavior, and treatment strategy. Results Diagnosis and treatment at an academic/research program, private insurance, female sex, Hispanic ethnicity, and high school diploma conferred a survival advantage on both univariate and multivariate analyses. Conclusions Disparities in survival outcomes in patients with meningiomas exist across multiple healthcare, demographic, and socioeconomic factors. Additional research is needed to elucidate the genetic and environmental factors driving these inequalities.