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End‐of‐life planning and its relevance for patients' and oncologists' decisions in choosing cancer therapy
Author(s) -
Saraiya Biren,
BodnarDeren Susan,
Leventhal Elaine,
Leventhal Howard
Publication year - 2008
Publication title -
cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.052
H-Index - 304
eISSN - 1097-0142
pISSN - 0008-543X
DOI - 10.1002/cncr.23946
Subject(s) - medicine , advance care planning , palliative care , proxy (statistics) , radiation treatment planning , disease , relevance (law) , cancer , intensive care medicine , health care , nursing , surgery , radiation therapy , machine learning , computer science , political science , law , economics , economic growth
The goal of end‐of‐life (EoL) planning is to provide individuals with tools to control their financial and healthcare decisions when they are incapacitated. When an elderly patient is diagnosed with advanced cancer, the possible treatment options are palliative care with curative intent or prolongation of life or palliative care only. Treatment of cancer in elderly patients creates a significant array of monetary and symptom burdens. The question is whether advance care planning, part of EoL planning, allows patients' families and communities to control and reduce these burdens. Although the number of patients completing advance directives has increased in recent years, there are multiple barriers to the implementation of patients' wishes, such as limited knowledge of patient wishes by proxy and physician and inadequate communication regarding prognosis. In this article, the authors propose that improvements in patient decision making and clinical practice can reduce the burden of symptoms for patients if clinicians gain a better understanding of patients' models and expectations respecting the longer term consequences of diagnosis and treatment. This understanding can arise from improved information exchange and constant updating of the information as the disease and treatment evolves. Clinicians also need better prognostication tools and better training in effective communication skills to elicit patient goals and to make appropriate recommendations. Cancer 2008;113(12 suppl):3540–7. © 2008 American Cancer Society.