Curr Gastroenterol Rep
December 2025
Purpose Of Review: This review details the pathophysiologic mechanisms from medical, surgical to psychosocial factors that illustrate how and why sexual health and intimacy are impacted in IBD.
Recent Findings: Recent clinical surveys of practicing gastroenterologists document that clinicians should routinely address sexual health when addressing patient reported outcomes but very few actually make direct inquiry or suggest management into this important aspect of human life. Example 'patter' are suggested to clinicians to demonstrate how to introduce the subject of sexual intimacy and well-being and engender patient trust on this sensitive topic.
: Emergency response teams are designed to promptly deliver care to hospitalized patients experiencing acute decompensation events. Pharmacists are an integrated part of emergency response teams and their presence at emergency response events has been shown to improve adherence to institutional and advanced cardiac life support (ACLS) guidelines. This study assesses the impact of pharmacist involvement at emergency responses and time clinical pharmacists dedicate to emergency response.
View Article and Find Full Text PDFBackground: Referral processes in Child and Adolescent Mental Health Services (CAMHS) have been reported as stressful and inadequate by young people and parents/carers, who struggle during waiting periods for the referral outcome decision. The Covid19 pandemic was an unprecedented time of distress for young people, parents/carers, and healthcare staff, with increased mental health challenges and stretched staff having to adapt modes of care, thus exacerbating difficulties for CAMHS.
Aim: This qualitative study aimed to capture the unique lived experiences of young people, parents/carers, and CAMHS staff during the referral process in the peak of the Covid19 pandemic.
Background: Continuous waveform monitoring is standard-of-care for patients at risk for or with critically illness. Derived from waveforms, heart rate, respiratory rate and blood pressure variability contain useful diagnostic and prognostic information; and when combined with machine learning, can provide predictive indices relating to severity of illness and/or reduced physiologic reserve. Integration of predictive models into clinical decision support software (CDSS) tools represents a potential evolution of monitoring.
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