The comparative study of chronically ill and healthy children and adolescents in the light of their general mental health.

Children's hospitalisation is difficult for the family and the immediate environment. In these cases, the provision of psychological support is particularly important. Chronically ill children who are regularly hospitalised are in a particularly difficult situation, often feeling vulnerable. Our research aims to explore and analyse in detail the psychological state, attitudes and mental health of chronically ill children and to compare patient groups (children receiving care in pulmonology, gastroenterology, onco-haematology and rehabilitation) to understand the interacting factors, which may be of great importance for quality patient care and for measures to improve patient care in the future. We studied chronically ill children (N = 107) aged 10 to 18 years (M = 14.3; SD = 2.0), cared for by the Department of Paediatric Rehabilitation, Paediatric Psychiatry and Psychosomatics of the University of Debrecen Clinical Centre, the second largest paediatric institution in Hungary. In our survey, sociodemographic questions, the Connor-Davidson Resilience Scale, the Satisfaction With Life Scale, the Cantril Ladder, the Non-Productive Thoughts Questionnaire, the Problematic Internet Use Questionnaire, the Drawing version of Pictorial Representation of Illness Self-Measure (PRISM-D), the Beck Depression Inventory-Shortened Scale, the Illness Intrusiveness Ratings Scale, the Spielberger State-Trait Anxiety Questionnaire-Child Version and the Strength and Difficulty Questionnaire were applied. One-way analysis of variance (ANOVA) was used to examine differences between groups, and Pearson rank correlation analysis was used to measure the relationships between individual variables. The results show significant differences between patient groups in terms of resilience, depression, nonproductive thoughts, problematic internet use, anxiety and coping, but no consistent pattern in the development of scores. In addition, for some psychological correlates, the role of sociodemographic background also showed significant results. The practical utility of our study is that using questionnaire methods to map patient satisfaction, compliance, and patient attitudes will provide regarding the factors that influence the mental health status of children living with chronic illnesses. In the light of this, additional methods and tools can be included to improve the quality of healthcare and to develop a set of procedures that will serve the intended purpose.

The role of animal-assisted programs in physical health improvement of children and adolescents with special education needs - a systematic review.

Programs involving animals in therapeutic programs are becoming increasingly prevalent. These programs can vary greatly in their approach, scope, and objectives, and they can significantly impact the development of healthy children and those with various disorders. In this systematic review, we sought to investigate the psychological ramifications of animal-assisted activities (AAA), therapies (AAT), and interventions (AAI). We searched for relevant studies using the EBSCO Discovery Service search engine across 85 databases, utilising appropriate keywords. Our search generated 262 results, of which 21 were selected for inclusion after title and abstract screening, as well as full-text analysis. Our findings indicate that dogs and horses are animal-assisted programs' most commonly used animals. Additionally, autism, cerebral palsy, and ADHD were found to be overrepresented in these programs. Furthermore, the length of sessions and overall program duration exhibited considerable variation, regardless of patient age or disease type. The principal measures centred on the physiological variables related to the nervous system and motorium-related indicators. The studies were generally of exceptional methodological soundness. Frequently, the studies narrowed their scope to a single segment or just the child or adolescent, but the outcomes lacked contextual interpretation. Expanding the range of studies by comparing psychological and physiological indicators and conducting follow-up analysis with a longitudinal design would be beneficial.

Patient positioning with X-ray detector self-calibration for image guided therapy.

Automatic alignment estimation from projection images has a range of applications, but misaligned cameras induce inaccuracies. Calibration methods for optical cameras requiring calibration bodies or detectable features have been a matter of research for years. Not so for image guided therapy, although exact patient pose recovery is crucial. To image patient anatomy, X-ray instead of optical equipment is used. Feature detection is often infeasible. Furthermore, a method not requiring a calibration body, usable during treatment, would be desirable to improve accuracy of the patient alignment. We present a novel approach not relying on image features but combining intensity based calibration with 3D pose recovery. A stereoscopic X-ray camera model is proposed, and effects of erroneous parameters on the patient alignment are evaluated. The relevant camera parameters are automatically computed by comparison of X-ray to CT images and are incorporated in the patient alignment computation. The methods were tested with ground truth data of an anatomic phantom with artificially produced misalignments and available real-patient images from a particle therapy machine. We show that our approach can compensate patient alignment errors through mis-calibration of a camera from more than 5 mm to below 0.2 mm. Usage of images with artificial noise shows that the method is robust against image degradation of 2-5%. X-ray camera self-calibration improves accuracy when cameras are misaligned. We could show that rigid body alignment was computed more accurately and that self-calibration is possible, even if detection of corresponding image features is not.