Patients' and Clinicians' Perceptions of the Clinical Utility of Predictive Risk Models for Chemotherapy-Related Symptom Management: Qualitative Exploration Using Focus Groups and Interviews

• Main Authors: Morven Miller (Author), Lisa McCann (Author), Liane Lewis (Author), Christine Miaskowski (Author), Emma Ream (Author), Andrew Darley (Author), Jenny Harris (Author), Grigorios Kotronoulas (Author), Geir V Berg (Author), Simone Lubowitzki (Author), Jo Armes (Author), Elizabeth Patiraki (Author), Eileen Furlong (Author), Patricia Fox (Author), Alexander Gaiger (Author), Antonella Cardone (Author), Dawn Orr (Author), Adrian Flowerday (Author), Stylianos Katsaragakis (Author), Simon Skene (Author), Margaret Moore (Author), Paul McCrone (Author), Nicosha De Souza (Author), Peter T Donnan (Author), Roma Maguire (Author)
• Format: Book
• Published: JMIR Publications, 2024-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundInterest in the application of predictive risk models (PRMs) in health care to identify people most likely to experience disease and treatment-related complications is increasing. In cancer care, these techniques are focused primarily on the prediction of survival or life-threatening toxic...