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How Important is Healthcare-Contact Time to Systemic Treatment Decision-Making in Advanced Gastrointestinal Cancers:
Samuel X Stevens1,2, Ella El-Katateny3, Isaac Yeboah Addo3
1Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia. samuel.stevens@sydney.edu.au.
Background:
People receiving treatment for advanced cancer invest substantial portions of their survival time receiving healthcare, labelled the 'time toxicity' of treatment. Although qualitative research has examined the impact of time burden on patients and their caregivers, its influence on treatment decision-making is unclear.
Objective:
Our objective was to explore treatment decision-making with patients with advanced gastrointestinal cancer, their caregivers, and oncologists, and unmask the role of time burden in those decisions. The objective was to inform the design of a subsequent discrete-choice experiment (DCE) investigating the importance of time burden in treatment decision-making.
Methods:
A two-step process was used. Factors relevant to treatment decision-making were discussed as part of semi-structured interviews. Responses were analysed using thematic analysis with a focus on measurable themes relevant to the development of candidate attributes for a DCE. Second, we reviewed stated-preferences studies in the field of treatment decision-making in cancer and compared the results with the candidate attributes identified from interviews.
Results:
Interviews with 45 participants (20 patients, 10 caregivers,15 gastrointestinal oncologists; 53% metropolitan) revealed 4 themes and 6 candidate attributes: expected survival benefit of treatment, impact of physical side effects, effect on day-to-day functioning, route of administration, healthcare contact days, and planned length of the treatment course. Review of 45 published studies yielded no additional attributes.
Conclusions:
This study identified six candidate attributes for a forthcoming DCE on time burden in advanced cancer care. These findings support growing efforts to quantify and address time toxicity in cancer treatment decision-making.
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