UZH-Logo

Maintenance Infos

Can we improve Treatment Decision-Making for incapacitated Patients?


Rid (Schulz-Baldes), A; Wendler, D (2010). Can we improve Treatment Decision-Making for incapacitated Patients? Hastings Center Report, 40(5):36-45.

Abstract

When patients cannot make their own treatment decisions, surrogates typically step in to do it for them. Surrogate decision-making is far from ideal, of course, as the surrogate may not know what the patient prefers or what best promotes her interests. One way to improve it would be to arm surrogates with information about what patients in similar circumstances tend to prefer, allowing them to make empirically grounded predictions about what their patient would want.

When patients cannot make their own treatment decisions, surrogates typically step in to do it for them. Surrogate decision-making is far from ideal, of course, as the surrogate may not know what the patient prefers or what best promotes her interests. One way to improve it would be to arm surrogates with information about what patients in similar circumstances tend to prefer, allowing them to make empirically grounded predictions about what their patient would want.

Citations

Downloads

42 downloads since deposited on 19 Nov 2010
21 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:01 Faculty of Theology > Center for Ethics
04 Faculty of Medicine > Institute of Biomedical Ethics and History of Medicine
Dewey Decimal Classification:170 Ethics
610 Medicine & health
Language:English
Date:September 2010
Deposited On:19 Nov 2010 17:10
Last Modified:05 Apr 2016 14:16
Publisher:Hastings Center
ISSN:0093-0334
Official URL:http://muse.jhu.edu/journals/hastings_center_report/v040/40.5.rid.pdf
Permanent URL: http://doi.org/10.5167/uzh-36292

Download

[img]
Preview
Filetype: PDF
Size: 484kB

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations