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Profiles of Older Medicare Decedents

Lunney, June R., Lynn, Joanne, Hogan, Christopher·2002·Journal of the American Geriatrics Society

Abstract

OBJECTIVES: To evaluate the usefulness of a clinical scheme to classify older decedents to better understand the issues associated with healthcare use and costs in the last year of life. DESIGN: We analyzed Medicare claims data for a random sample of 0.1% of all Medicare beneficiaries with expenditures between 1993 and 1998. This sample yielded 7,966 deaths. SETTING: Medicare claims data. PARTICIPANTS: Medicare beneficiaries. MEASUREMENTS: We classified decedents into groups representing four trajectories at the end of life: sudden death, terminal illness, organ failure, and frailty. RESULTS: Ninety‐two percent of decedents were captured by the profiling strategy. The four trajectory groups had distinct patterns of demographics, care delivery, and Medicare expenditures. Frailty was a dominant pattern, with 47% of all decedents, whereas sudden death claimed only 7%; cancer claimed 22%, and organ system failure, 16%. CONCLUSIONS: The clinical scheme to classify decedents appears to fit most decedents and to form groups with substantial clinical differences. Acknowledging the differences among these groups may be a fruitful way to evaluate expenditures and develop strategies to improve care at the end of life.

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Metadata

Authors
Lunney, J. R., Lynn, J., & Hogan, C.
Venue
Journal of the American Geriatrics Society
Publisher
Wiley
Published
2002-06
Volume
50
Issue
6
Pages
1108-1112
ISSN
  • 0002-8614 (ISSN-L)
  • 1532-5415
OpenAlex
W2098915527
Cited by
492
References
0
FWCI
12.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Profiles of Older Medicare Decedents. https://app.cochat.ai/papers/10.1046/j.1532-5415.2002.50268.x
The paper
Lunney, J. R., Lynn, J., & Hogan, C. (2002). Profiles of Older Medicare Decedents. Journal of the American Geriatrics Society. https://doi.org/10.1046/j.1532-5415.2002.50268.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.