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Cited by 287

The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.

End-of-Life Conversations: Evolving Practice and Theory

Open access
Larson, Dale G., Tobin, Daniel R.·2000·JAMA
DOI 10.1001/jama.284.12.1573
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Abstract

This article examines the evolution of and need for "end-of-life conversations." Barriers to end-of-life discussions that have been identified in patients and families, health care professionals, and health care systems can seriously interfere with the quality of remaining life for terminally ill patients. Strategies for enhancing end-of-life discussions are most productively linked to (1) physicians' interpersonal communication skills, (2) a patient-centered model of care, (3) a focus on quality of remaining life, and (4) innovative clinical models for implementing these discussions earlier in the care process. We conclude that end-of-life conversations must become a routine, structured intervention in health care and that advance care planning is best viewed as one component in a series of ongoing end-of-life discussions. Randomized trials are needed to examine new approaches and models for enhancing end-of-life conversations. JAMA. 2000;284:1573-1578.

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Metadata

Authors
Larson, D. G., & Tobin, D. R.
Venue
JAMA
Publisher
American Medical Association (AMA)
Published
2000-09-27
Volume
284
Issue
12
Pages
1573
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
DOI
10.1001/jama.284.12.1573
OpenAlex
W2070467594
Cited by
287
References
50
FWCI
15.39
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: End-of-Life Conversations: Evolving Practice and Theory. https://app.cochat.ai/papers/10.1001/jama.284.12.1573
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Larson, D. G., & Tobin, D. R. (2000). End-of-Life Conversations: Evolving Practice and Theory. JAMA. https://doi.org/10.1001/jama.284.12.1573

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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.