Literature DB >> 19615623

Demographic and social characteristics and spending at the end of life.

Lisa R Shugarman1, Sandra L Decker, Anita Bercovitz.   

Abstract

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.

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Year:  2009        PMID: 19615623     DOI: 10.1016/j.jpainsymman.2009.04.004

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  9 in total

1.  Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data.

Authors:  Maggie Makar; Marzyeh Ghassemi; David M Cutler; Ziad Obermeyer
Journal:  Int J Mach Learn Comput       Date:  2015-06

2.  Racial and Ethnic Differences in End-of-Life Medicare Expenditures.

Authors:  Elena Byhoff; John A Harris; Kenneth M Langa; Theodore J Iwashyna
Journal:  J Am Geriatr Soc       Date:  2016-09-01       Impact factor: 5.562

3.  Racial differences in location before hospice enrollment and association with hospice length of stay.

Authors:  Kimberly S Johnson; Maragatha Kuchibhatla; James A Tulsky
Journal:  J Am Geriatr Soc       Date:  2011-03-15       Impact factor: 5.562

4.  Temporal Trends Between 2010 and 2015 in Intensity of Care at End-of-Life for Patients With Chronic Illness: Influence of Age Under vs. Over 65 Years.

Authors:  Seelwan Sathitratanacheewin; Ruth A Engelberg; Lois Downey; Robert Y Lee; James A Fausto; Helene Starks; Ben Dunlap; James Sibley; William Lober; Elizabeth T Loggers; Nita Khandelwal; J Randall Curtis
Journal:  J Pain Symptom Manage       Date:  2017-09-05       Impact factor: 3.612

5.  Study protocol: optimization of complex palliative care at home via telemedicine. A cluster randomized controlled trial.

Authors:  Froukje Duursma; Henk J Schers; Kris Cp Vissers; Jeroen Hasselaar
Journal:  BMC Palliat Care       Date:  2011-08-09       Impact factor: 3.234

6.  Moving to and dying in a nursing home depends not only on health - an analysis of socio-demographic determinants of place of death in Switzerland.

Authors:  Damian Hedinger; Julia Braun; Ueli Zellweger; Vladimir Kaplan; Matthias Bopp
Journal:  PLoS One       Date:  2014-11-19       Impact factor: 3.240

7.  Health care expenditure in the last five years of life is driven by morbidity, not age: A national study of spending trajectories in Danish decedents over age 65.

Authors:  Anne Vinkel Hansen; Laust Hvas Mortensen; Stella Trompet; Rudi Westendorp
Journal:  PLoS One       Date:  2020-12-18       Impact factor: 3.240

Review 8.  Conceptualizing and Counting Discretionary Utilization in the Final 100 Days of Life: A Scoping Review.

Authors:  Paul R Duberstein; Michael Chen; Michael Hoerger; Ronald M Epstein; Laura M Perry; Sule Yilmaz; Fahad Saeed; Supriya G Mohile; Sally A Norton
Journal:  J Pain Symptom Manage       Date:  2019-10-19       Impact factor: 3.612

9.  Place of death and health care utilization for people in the last 6 months of life in Switzerland: a retrospective analysis using administrative data.

Authors:  Oliver Reich; Andri Signorell; André Busato
Journal:  BMC Health Serv Res       Date:  2013-03-25       Impact factor: 2.655

  9 in total

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