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Cited by 326

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Controlling Death: The False Promise of Advance Directives

Perkins, Henry S.·2007·Annals of Internal Medicine

Abstract

Advance directives promise patients a say in their future care but actually have had little effect. Many experts blame problems with completion and implementation, but the advance directive concept itself may be fundamentally flawed. Advance directives simply presuppose more control over future care than is realistic. Medical crises cannot be predicted in detail, making most prior instructions difficult to adapt, irrelevant, or even misleading. Furthermore, many proxies either do not know patients' wishes or do not pursue those wishes effectively. Thus, unexpected problems arise often to defeat advance directives, as the case in this paper illustrates. Because advance directives offer only limited benefit, advance care planning should emphasize not the completion of directives but the emotional preparation of patients and families for future crises. The existentialist Albert Camus might suggest that physicians should warn patients and families that momentous, unforeseeable decisions lie ahead. Then, when the crisis hits, physicians should provide guidance; should help make decisions despite the inevitable uncertainties; should share responsibility for those decisions; and, above all, should courageously see patients and families through the fearsome experience of dying.

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Crossref · 10.7326/0003-4819-147-1-200707030-00008

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Metadata

Authors
Perkins, H. S.
Venue
Annals of Internal Medicine
Published
2007-07-03
Volume
147
Issue
1
Pages
51-57
ISSN
  • 0003-4819 (ISSN-L)
  • 1539-3704
OpenAlex
W2029801535
Cited by
326
References
2
FWCI
21.77
Type
journal article
Language
en
Open access
closed

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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.