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3 - Assessing health status and quality of life of cancer patients: the use of general instruments

Published online by Cambridge University Press:  18 December 2009

Pennifer Erickson Ph.D.
Affiliation:
Associate Professor Pennsylvania State University, State College, PA
Joseph Lipscomb
Affiliation:
National Cancer Institute, Bethesda, Maryland
Carolyn C. Gotay
Affiliation:
Cancer Research Center, Hawaii
Claire Snyder
Affiliation:
National Cancer Institute, Bethesda, Maryland
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Summary

Introduction

In response to the increasing demand for high quality, affordable health care, policy makers are beginning to consider the burden of disease on patients and their families, as well as on society, more generally.– Within the continuum of cancer care, these concerns are often expressed in terms of health promotion and disease prevention initiatives, evaluations of alternative treatments or other interventions, and provision of compassionate care for survivors of cancer or those living with terminal illness. Traditionally, morbidity and mortality measures have been used for assessing disease and policy impacts, but as more people are living longer, many with chronic disease such as cancer, decision makers are recognizing the need for indicators that inform them not only about quantity of life but also about multiple aspects of quality of life such as physical, social, and mental well-being.

Over the past 30 years, instruments have been developed that provide decision makers with profiles of scores that indicate people's capacity or performance on important domains and subdomains of health status and quality of life. Profiles, rather than a battery of single indicators, have the advantage of using a single scoring system so that domain scores can be easily compared, thereby giving clinicians and policy makers systematic information about well-being and function across the key domains. Generic profiles, such as the Sickness Impact Profile– and the short forms from the Medical Outcomes Study,– are used in demographically and diagnostically diverse populations, whereas general cancer measures, e.g., the European Organization for Research and Treatment of Cancer Core Quality of Life Questionnaire (EORTC QLQ-C30) and the Functional Assessment of Cancer Therapy (FACT-G), have been developed for use across the spectrum of cancer diagnoses.

Type
Chapter
Information
Outcomes Assessment in Cancer
Measures, Methods and Applications
, pp. 31 - 68
Publisher: Cambridge University Press
Print publication year: 2004

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To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

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