Cisek Katryna, Nguyen Thi Nguyet Que, Garcia-Rudolph Alejandro, Saurí Joan, Kelleher John D.
PRECISE4Q, Predictive Modelling in Stroke, Information Communications and Entertainment Institute, Technological University Dublin, Dublin, Ireland
Department of Research and Innovation, Institut Guttmann, Institut Universitari de Neurorehabilitació Adscrit a la UAB, Badalona, Spain
The quality of life of post-ischemic stroke patients during reintegration is affected by a range of factors, including the risk of insufficient social and family support, as well as socio-economic status. A patient who is unable to access needed social support, such as home health care or a day center, is at a greater risk of poorer quality of life during reintegration. Consequently, the key goals of post-stroke reintegration are to improve patient outcomes across these factors, to inform reintegration decisions, as well as design personalized interventions for patients with social risk. This chapter presents a case-study of 240 patients of the Catalonia region of Spain that uses data visualization techniques (known as Sankey diagrams) to provide insight into changes in quality of life risk factors such as gender, and stroke severity, during reintegration. As supported by the case-study, social risk is a complex and multifactorial phenomenon that can vary significantly for an individual over the course of stroke rehabilitation and reintegration.
缺血性中风患者康复期间的生活质量受到一系列因素的影响,包括社会和家庭支持不足的风险以及社会经济地位。无法获得所需社会支持(如家庭医疗护理或日间护理中心)的患者在康复期间生活质量较差的风险更高。因此,中风后康复的关键目标是改善这些因素下的患者预后,为康复决策提供依据,并为有社会风险的患者设计个性化干预措施。本章介绍了西班牙加泰罗尼亚地区240名患者的案例研究,该研究使用数据可视化技术(称为桑基图)来深入了解康复期间生活质量风险因素(如性别和中风严重程度)的变化。如案例研究所支持的,社会风险是一种复杂的多因素现象,在中风康复和康复过程中,个体之间可能存在显著差异。