The role of mental health nursing in pediatric hematology/oncology - Part 3: Evaluating feasibility, acceptability, and appreciation.

Introduction: In February 2022, we introduced the innovative new role of mental health nurse clinician (MHNC) in pediatric hematology/ oncology in a pediatric hospital in Quebec with the aim of better addressing the needs of young cancer patients and their families. In two previous articles, we explained the method used to develop the role, as well as the strategy employed to implement it.

Objectives: In this article, we seek to evaluate the effectiveness of the implementation strategy by measuring role feasibility.

Telephone completion of patient self-reporting health history documents by registered nurses: a survey to evaluate its effectiveness and strategies for improvement.

Aim: Prior to the COVID-19 pandemic, cancer patients would complete their self-reporting health history documentation at their initial consultation visit. With the increase in virtual care, a program was established; whereby, a registered nurse (RN) would complete the self-reporting history with the patient by telephone prior to the initial consultation. A survey of RNs and oncologists evaluating the effectiveness of this program is presented.

Sleep is required to consolidate odor memory and remodel olfactory synapses.

Animals with complex nervous systems demand sleep for memory consolidation and synaptic remodeling. Here, we show that, although the Caenorhabditis elegans nervous system has a limited number of neurons, sleep is necessary for both processes. In addition, it is unclear if, in any system, sleep collaborates with experience to alter synapses between specific neurons and whether this ultimately affects behavior.

Sleep movements and respiratory coupling as a biobehavioral metric for early Alzheimer's disease in independently dwelling adults.

Introduction: Sleep disorder is often the first symptom of age-related cognitive decline associated with Alzheimer's disease (AD) observed in primary care. The relationship between sleep and early AD was examined using a patented sleep mattress designed to record respiration and high frequency movement arousals. A machine learning algorithm was developed to classify sleep features associated with early AD.