کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2730624 1147261 2009 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Demographic and Social Characteristics and Spending at the End of Life
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی عصب شناسی
پیش نمایش صفحه اول مقاله
Demographic and Social Characteristics and Spending at the End of Life
چکیده انگلیسی

In the United States and abroad, the aging of the population and changes in its demographic and social composition raise important considerations for the future of health care and the systems that pay for care. Studies in the United States on end-of-life expenditures and utilization focus primarily on Medicare and have reported differences in formal end-of-life spending and types of services used by age, race, gender, and other personal characteristics, with most notable differences attributed to age at death. Although overall health care spending tends to be higher for people who are white and women, these patterns tend to either reverse themselves or narrow at the end of life. However, age at death continues to be associated with large spending differences at the end of life, with end-of-life spending declining at older ages. Although different data sources, analytic methods, and definitions of end-of-life care make comparisons of the absolute level of end-of-life spending in the United States to that of other countries difficult, a reading of the existing literature reveals some similarities in the distribution of spending across patient characteristics, even across different systems of health care and insurance. In particular, end-of-life spending tends to decline with age, indicating that treatment intensity likely declines with age in most countries to varying degrees. Future international collaborations may help to make data collection and analysis efforts more comparable, enabling identification of factors associated with high-quality end-of-life care and helping health care planners across countries to learn from the successes of others.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Pain and Symptom Management - Volume 38, Issue 1, July 2009, Pages 15–26
نویسندگان
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