A qualitative analysis of the impact of COVID-19 restrictions on gender biases in an Irish University.

This paper explores the impact of COVID-19 restrictions on gender biases in a STEM Faculty in an Irish University. For the purposes of this research, gender bias was understood as gender-based inclinations or prejudices which affect researchers' personal and professional opportunities as described by fifteen interviewees (nine women, six men). We used thematic interviews to explore participants' perspectives.

Utility of the NECPAL CCOMS-ICO tool and the Surprise Question as screening tools for early palliative care and to predict mortality in patients with advanced chronic conditions: A cohort study.

Background: The Surprise Question (SQ) identifies patients with palliative care needs. The NECPAL CCOMS-ICO (NECPAL) tool combines the Surprise Question with additional clinical parameters for a more comprehensive assessment. The capacity of these screening tools to predict mortality is still unknown.

Identifying patients with chronic conditions in need of palliative care in the general population: development of the NECPAL tool and preliminary prevalence rates in Catalonia.

Palliative care (PC) has focused on patients with cancer within specialist services. However, around 75% of the population in middle-income and high-income countries die of one or more chronic advanced diseases. Early identification of such patients in need of PC becomes crucial.

Identification of the sensorimotor cortex with functional MRI: frequency and actual contribution in a neurosurgical context.

Background And Purpose: We assessed the actual frequency of motor functional MRI (fMRI) in a neurosurgical environment and estimated the extent to which it aided surgeons' identifications of the sensorimotor cortex.

Methods: During five consecutive years, an fMRI protocol aimed at generating a selective activation of the hand cortical area was prescribed to 147 patients showing a centrally located space-occupying lesion, which represents 6.7% of all assisted surgical candidates showing an intracranial mass.