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The Effectiveness of Patient Navigation in Cancer Care

The Netherlands Cancer Institute · 2016
ClinicalTrials.gov · Datasets · License: Public Domain · 2016
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cancerna
Rationale: Supportive care such as physical therapy, psycho-social education, and dietary advice is likely to have a positive effect on the recovery and quality of life of cancer patients. Currently, not all patients know how to access supportive care, which results in unmet supportive care needs. This study determines whether these unmet needs can be reduced or prevented by a patient navigation intervention that focuses on timely screening and systematic monitoring of patient's supportive care needs. Objective: The primary objective is to determine the effect of patient navigation on health related quality of life. Secondary objectives are: 1) to determine the effect of patient navigation on satisfaction with, need for, and consumption of (supportive) cancer care; 2) to determine the effect of patient navigation on patients' self-management; 3) to explore how patient navigation affects the cost-effectiveness of cancer care. Study design: Longitudinal randomised controlled trial with two study arms: a patient navigation intervention and care as usual. Study population: Newly diagnosed lung, melanoma, urology, or gynecology patients of the Netherlands Cancer Institute. Intervention : Consultations with a specifically trained oncology nurse (i.e. patient navigator), who assesses patients' needs for supportive cancer care, provides information on supportive cancer care, and guides patients through the supportive cancer care system. Consultations with the patient navigator take place at the start, halfway through, and at the end of treatment. Main study endpoints: The main endpoint of this study is health related quality of life, which is defined as an individual's perceived emotional, social, physical, and functional wellbeing over time. Health related quality of life is assessed with the EORTC QLQ-C30. Nature and extent of the burden and risks associated with participation, benefit and group relatedness: Participants are expected to strongly benefit from consult
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