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Predicting survival in patients with advanced disease 

Predicting survival in patients with advanced disease
Predicting survival in patients with advanced disease

Paul Glare

, Christian T. Sinclair

, Patrick Stone

, and Josephine M. Clayton

Page of

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date: 16 May 2022

Worldwide there are over 50 million deaths per year. In considering the goal of fostering optimal care towards the end of life for these individuals, high-quality population-based data about disease and symptom occurrence as well as health-care needs are essential. Such data are important so that informed planning can underpin policy, service development, and patient care. This chapter discusses epidemiology as it relates to the ‘human experience’ towards the end of life with an emphasis on diseases, symptoms, psychosocial experiences, and access to health services. Some of the methods by which such data are collated in various parts of the world are described. The dramatic variability in experiences towards the end of life across regions and nations is also highlighted. Examples of where information is available that may inform planning for populations are discussed, as are areas where data may be helpful or needed but lacking.

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