Support needs of adolescents' post-cancer treatment: A systematic review.

INTRODUCTION: The study aimed to investigate the support needs for adolescents' post-cancer treatment. MATERIALS AND METHODS: A systematic literature review was conducted, articles were obtained from the following databases, Science Direct, PubMed and SCOPUS. Additional studies were identified from the reference lists of articles included in the review. RESULTS: 119 articles were identified as potentially relevant, of these, a total of 16 articles were nominated to be included in the review for analysis. CONCLUSION: The role of relationships and key workers were important to enabling survivors to self-manage. Studies have commended the role of friendships during the cancer treatment process but also as a means to coping with issues relating to survivorship. Using a coping mechanism thought to be beneficial by the survivor often improves their overall wellbeing. The eagerness to continue a normal successful life post-cancer treatment seems to be over-shadowed by the fear of not being able to conceive offspring. This, in turn, can impact the psychological wellbeing of survivors, thus signifying the need to develop ways in supporting these individuals. With research into quality of life (QoL) and survivorship issues continuing to progress and reach new heights, there is still much to be done

Application of data fusion techniques and technologies for wearable health monitoring

Technological advances in sensors and communications have enabled discrete integration into everyday objects, both in the home and about the person. Information gathered by monitoring physiological, behavioural, and social aspects of our lives, can be used to achieve a positive impact on quality of life, health, and well-being. Wearable sensors are at the cusp of becoming truly pervasive, and could be woven into the clothes and accessories that we wear such that they become ubiquitous and transparent. To interpret the complex multidimensional information provided by these sensors, data fusion techniques are employed to provide a meaningful representation of the sensor outputs. This paper is intended to provide a short overview of data fusion techniques and algorithms that can be used to interpret wearable sensor data in the context of health monitoring applications. The application of these techniques are then described in the context of healthcare including activity and ambulatory monitoring, gait analysis, fall detection, and biometric monitoring. A snap-shot of current commercially available sensors is also provided, focusing on their sensing capability, and a commentary on the gaps that need to be bridged to bring research to market

Valuation of Marine Ecosystem Threshold Effects: Theory and Practice in relation to Algal Bloom in the North Sea

info:eu-repo/semantics/publishe