Patient and clinician priorities for information on treatment outcomes for advanced ovarian cancer: a Delphi exercise.
Kathryn BaxterHeather AgnewJennie MorganCathrine HollandDarren FlynnRichard John EdmondsonPublished in: Journal of gynecologic oncology (2024)
Information needs for treatment decision-making in ovarian cancer differ between and within patient and clinician groups. Whilst overall survival and progression free survival are universally accepted as important data items, decision support tools will need to be nuanced to allow presentation of a range of outcomes and associated probabilities, and in a range of formats, that can be tailored to the preferences of clinician and patients.
Keyphrases
- free survival
- case report
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- physical activity
- healthcare
- high intensity
- electronic health record
- peritoneal dialysis
- type diabetes
- smoking cessation
- metabolic syndrome
- machine learning
- patient reported outcomes
- adipose tissue
- resistance training
- patient reported
- skeletal muscle
- replacement therapy
- weight loss
- glycemic control
- deep learning