Although patients with advanced cancer often experience multiple symptoms simultaneously, clinicians usually focus on symptoms that are volunteered by patients during regular history-taking. We aimed to evaluate the feasibility of a Bayesian network (BN) model to predict the presence of simultaneous symptoms, based on the presence of other symptoms. Our goal is to help clinicians prioritize which symptoms to assess.
View Article and Find Full Text PDFObjectives: It is widely acknowledged that co-occurring symptoms in patients with a psychosocial and spiritual aspects should also be considered. However, this multidimensional approach is difficult to integrate into daily practice, especially for generalist clinicians not specialized in palliative care. We aimed to identify the barriers and facilitators to multidimensional symptom management.
View Article and Find Full Text PDFObjectives: Suboptimal symptom control in patients with life-limiting illnesses is a major issue. A clinical decision support system (CDSS) that combines a patient-reported symptom assessment scale (SAS) and guideline-based individualised recommendations has the potential to improve symptom management. However, lacking end-user acceptance often prevents CDSS use in daily practice.
View Article and Find Full Text PDFBackground: Within the generalist-plus-specialist palliative care model, palliative care is mainly provided by nurses and physicians of hospital primary care teams. Palliative care consultation teams (PCCTs) support these clinicians in adequately caring for patients with advanced illnesses. Our team started in 2012.
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