Tailoring chemotherapy supply according to patients' preferences: a quantitative method in colorectal cancer care.
Rosalba RosatoDaniela Di CuonzoGiuliana RitortoLaura FanchiniSara BustreoPatrizia RaccaEva PaganoPublished in: Current medical research and opinion (2019)
Objectives: The aim of this study was to conduct a discrete choice experiment with patients affected by colorectal cancer to understand their preferences for different attributes of the chemotherapy supply. Our overall goal is to provide evidence on the relative importance of each attribute in order to tailor chemotherapy supply according to patients' priorities in the design or reorganization processes of cancer services.Methods: Focus groups were used to identify the attributes and levels for the discrete choice experiment. The attributes were: continuity of care, understanding, information, treatment choice, and time for therapy. Respondents were asked to choose between two mutually exclusive hypothetical alternatives of chemotherapy supply. Patients completed the discrete choice experiment along with the health-related quality of life and patients' satisfaction questions. Conditional and mixed logistic models were used to analyses the data.Results: Patients with colorectal cancer treated with chemotherapy (n = 76) completed the survey. The most important aspects of chemotherapy supply were: "Providing detailed and complete information" and "High ability in understanding" patients. Preferences were also influenced by the availability of a trusted doctor. Except for one attribute (waiting time for therapy), all other characteristics significantly influenced respondents' preferences.Conclusions: Results should support a policy of strengthening medical doctors' capabilities to communicate with patients, providing them complete information and involving them in the clinical decisions. Specifically, the findings should be used to improve the current provision of cancer care by identifying areas of preferred intervention from the perspectives of patients in order to tailor the service supply accordingly.
Keyphrases
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- healthcare
- prognostic factors
- peritoneal dialysis
- palliative care
- randomized controlled trial
- machine learning
- stem cells
- patient reported outcomes
- public health
- mass spectrometry
- patient reported
- locally advanced
- mesenchymal stem cells
- social media
- rectal cancer
- big data