Exploring the possible application of implementation intention on prospective memory of cancer patients

Prospective memory defines the ability to remember to perform an action related to a specific task planned for the future. Interventions aimed to improve prospective memory have an impact on the patient's quality of life. While most interventions are aimed to improve prospective memory in general, implementation intentions influence specific automatic processes related to prospective memory. The efficacy of this type of intervention has been proven on different samples of patients as well as on lay people. We argue that, while in cancer patients who suffer from perspective memory deficit this particular intervention has not been studied yet, it could be usefully implemented to foster patients' involvement, quality of life and adherence to care

A usable web for long-stay hospitalised children

This paper analyses the problems that should be considered when designing a web site for disadvantaged children. We focus our research on long-stay hospitalised children who use the Internet to communicate with realities located outside their usual surroundings, especially with distance education related activities. We introduce a case study which focuses on the use of the Internet in some Italian hospitals and then we sketch out some guidelines for designing usable web sites for hospitalised children

An Experimental Study on Young Pupils

Chess is thought to be a game demanding high cognitive abilities to be played well. Although many studies proved the link between mastery in chess and high degree of intelligence, just few studies proved that chess practice can enhance cognitive abilities. Starting from these considerations, the main purpose of the present research was to investigate the potential benefits of in-presence chess lessons and on-line training on mathematical problem-solving ability in young pupils (8 to 11 years old). Five hundred sixty students were divided into two groups, experimental (which had chess course and on-line training) and control (which had normal school activities), and tested on their mathematical and chess abilities. Results show a strong correlation between chess and math scores, and a higher improvement in math in the experimental group compared with the control group. These results foster the hypothesis that even a short-time practice of chess in children can be a useful tool to enhance their mathematical abilities

Pediatric blood cancer survivors and tobacco use across adolescence and emerging adulthood: A narrative review

Scholars underline the pivotal role of tobacco cigarette smoking in carcinogenesis process for blood tumors. A controversial debate is represented by the diffusion of tobacco use in young cancer survivors that had a previous diagnosis of blood tumor during the childhood. Compared with their peers, scientific evidence highlights that pediatric survivors have more difficult to give-up cigarette smoking. Furthermore, tobacco-smoking is frequently linked with others risk behaviors as drinking or substance abuse. In reviewing the main knowledge on this topic, authors affirm the need for increasing research on blood cancer survivors in order to depict psychological characteristics of pediatric blood cancer survivors. Improving health decision-making skills in young survivors could reduce the risk to adopt un-healthy behaviors and increase psychological wellbeing. Furthermore, authors propose tailored antismoking interventions based on the knowledge of the psychological and cognitive factors that support smoking during the transition toward emerging-adulthood

a p5 approach to healthcare and health technology

The challenges represented by chronic conditions worldwide are related to disease management and patient engagement. Healthcare should open not only to new tools and resources but also to innovative approaches. This contribution deepens the concept of P5 medicine, namely, an evolution of patient-centered medicine approaches which tries to identify the main characteristics medical interventions should have in order to meet patients' needs. Specifically, healthcare should be predictive, personalized, preventive, participatory, and psychocognitive. eHealth, or the use of new technologies in healthcare contexts, represents an extraordinary opportunity to achieve all of these features. The second part of this contribution will present brief history of eHealth, its development, the multiple forms it assumes today, and literature on encouraging results and emerging criticalities as well. The present book will feature guidelines and examples of how eHealth could be designed and implemented in order to reach P5 recommendations in healthcare globally

Predicting Parkinson's disease evolution using deep learning

Parkinson's disease is a neurological condition that occurs in nearly 1% of the world's population. The disease is manifested by a drop in dopamine production, symptoms are cognitive and behavioural and include a wide range of personality changes, depressive disorders, memory problems, and emotional dysregulation, which can occur as the disease progresses. Early diagnosis and accurate staging of the disease are essential to apply the appropriate therapeutic approaches to slow cognitive and motor decline. Currently, there is not a single blood test or biomarker available to diagnose Parkinson's disease. Magnetic resonance imaging has been used for the past three decades to diagnose and distinguish between PD and other neurological conditions. However, in recent years new possibilities have arisen: several AI algorithms have been developed to increase the precision and accuracy of differential diagnosis of PD at an early stage. To our knowledge, no AI tools have been designed to identify the stage of progression. This paper aims to fill this gap. Using the "Parkinson's Progression Markers Initiative" dataset, which reports the patient's MRI and an indication of the disease stage, we developed a model to identify the level of progression. The images and the associated scores were used for training and assessing different deep-learning models. Our analysis distinguished four distinct disease progression levels based on a standard scale (Hoehn and Yah scale). The final architecture consists of the cascading of a 3DCNN network, adopted to reduce and extract the spatial characteristics of the RMI for efficient training of the successive LSTM layers, aiming at modelling the temporal dependencies among the data. Our results show that the proposed 3DCNN + LSTM model achieves state-of-the-art results by classifying the elements with 91.90\% as macro averaged OVR AUC on four classesComment: 27 pages, 11 figure

Disparities and barriers in the assessment of psychological distress, access to and use of psycho-oncological support in Europe: current perspectives

The implementation of psycho-oncological support has shown important results in positively influencing treatment outcomes and quality of life in cancer patients and survivors. In the last few decades, the importance of mental health has been brought to attention to the general public and healthcare professionals on a national, institutional and organisational level. Official guidelines, policies, and training programs have been developed suggesting that psycho-oncological support should be considered as a non-negotiable requirement for quality cancer care in many hospitals and clinical centres across Europe. Health organisations, associations, institutions, and societies, such as the International Psycho-Oncology Society (IPOS) and the European Partnership for Action Against Cancer (EPAAC), are forming alliances, funding research projects and organising congresses in order to study, understand, and discuss the reasons for barriers and disparities in psycho-oncological support and, eventually, to overcome the existing cancer divide. Nevertheless, the World Health Organization’s (WHO) estimations indicate that the cancer burden is still increasing, and relevant barriers and disparities in accessing psycho-oncological support continue to exist and influence the health conditions and quality of life of cancer patients and survivors. The present work will present the current disparities and barriers regarding assessment, access to and use of psycho-oncological support in the countries of the European Union, making suggestions for further research and possible solutions