Delivering patient-centered care in the setting of advanced cancer: What does a clinical risk-prediction model have to do with it?
Menée aux Etats-Unis à partir de données portant sur 146 patients et 292 témoins, cette étude propose un modèle de prédiction du risque d'hospitalisation liée à la chimiothérapie chez des patients atteints de cancer et recevant une chimiothérapie palliative
In 2013, the Institute of Medicine (IOM) released a consensus report entitled “Delivering High-Quality Cancer Care: Charting a New Course for a System in Crisis,”1 which provides a blueprint for improving the quality of cancer care in the United States. In particular, its central focus is the need for delivering patient-centered cancer care and ensuring that patients have an opportunity to receive effective, high-value, and safe treatments that are consistent with their individual needs, values, and preferences.2 The IOM report’s goals and recommendations are hierarchical and move from those perceived to be most achievable—those directly associated with the patient-clinician encounter—to those that are more difficult to accomplish, such as the elimination of disparities in care and comprehensive delivery-system reform, including new payment models. The first 2 recommended goals of the IOM report focus on the importance of engaged patients. Goal 1 emphasizes the critical role of the cancer care team in providing patients and their families with understandable information on cancer prognosis, treatment benefits and harms, palliative care, psychosocial support, and estimates of the total and out-of-pocket costs of cancer care. Goal 2 stresses the importance, in the setting of advanced cancer, of providing patients with end-of-life care consistent with their needs, values, and preferences.1
JAMA Oncology , éditorial, 2014