Literature DB >> 34011832

A Call for a Patient Preference Predictor.

David Wendler1.   

Abstract

OBJECTIVES: When patients lose the capacity to make their own decisions, current practice relies on their family and loved ones to try to identify the treatment course the patient would have chosen for themselves. The fact that this approach has remained essentially unchanged for over 40 years raises the question of whether it successfully provides care that is consistent with patients' treatment preferences. DATA SOURCES: Published studies on the outcomes and impact of surrogate decision-making. STUDY SELECTION: All identified articles. DATA EXTRACTION: Review by the author. DATA SYNTHESIS: Surrogates frequently are not able to identify the treatment preferences of decisionally incapacitated patients and can experience significant distress as a result of making decisions for them.
CONCLUSIONS: Revisions to existing practice are needed to increase the extent to which surrogates are able to identify the treatment preferences of decisionally incapacitated patients. One possibility is to assess whether predicting patients' treatment preferences based on the preferences of similar patients might increase the extent to which patients are treated consistent with their preferences and thereby reduce the burden on their surrogates.
Copyright © 2021 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.

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Mesh:

Year:  2021        PMID: 34011832      PMCID: PMC8148088          DOI: 10.1097/CCM.0000000000004949

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   9.296


  13 in total

1.  Scope and outcomes of surrogate decision making among hospitalized older adults.

Authors:  Alexia M Torke; Greg A Sachs; Paul R Helft; Kianna Montz; Siu L Hui; James E Slaven; Christopher M Callahan
Journal:  JAMA Intern Med       Date:  2014-03       Impact factor: 21.873

2.  Advance directives and outcomes of surrogate decision making before death.

Authors:  Maria J Silveira; Scott Y H Kim; Kenneth M Langa
Journal:  N Engl J Med       Date:  2010-04-01       Impact factor: 91.245

3.  Use of a patient preference predictor to help make medical decisions for incapacitated patients.

Authors:  Annette Rid; David Wendler
Journal:  J Med Philos       Date:  2014-02-13

4.  Surrogate decision making: reconciling ethical theory and clinical practice.

Authors:  Jeffrey T Berger; Evan G DeRenzo; Jack Schwartz
Journal:  Ann Intern Med       Date:  2008-07-01       Impact factor: 25.391

5.  Surviving surrogate decision-making: what helps and hampers the experience of making medical decisions for others.

Authors:  Elizabeth K Vig; Helene Starks; Janelle S Taylor; Elizabeth K Hopley; Kelly Fryer-Edwards
Journal:  J Gen Intern Med       Date:  2007-07-07       Impact factor: 5.128

6.  Associations Between Personality and End-of-Life Care Preferences Among Men With Prostate Cancer: A Clustering Approach.

Authors:  Emily G Lattie; Yasmin Asvat; Smriti Shivpuri; James Gerhart; Sean O'Mahony; Paul Duberstein; Michael Hoerger
Journal:  J Pain Symptom Manage       Date:  2015-09-05       Impact factor: 3.612

7.  Should Artificial Intelligence Augment Medical Decision Making? The Case for an Autonomy Algorithm.

Authors:  Camillo Lamanna; Lauren Byrne
Journal:  AMA J Ethics       Date:  2018-09-01

8.  A new method for making treatment decisions for incapacitated patients: what do patients think about the use of a patient preference predictor?

Authors:  David Wendler; Bob Wesley; Mark Pavlick; Annette Rid
Journal:  J Med Ethics       Date:  2016-01-29       Impact factor: 2.903

9.  Effect of Palliative Care-Led Meetings for Families of Patients With Chronic Critical Illness: A Randomized Clinical Trial.

Authors:  Shannon S Carson; Christopher E Cox; Sylvan Wallenstein; Laura C Hanson; Marion Danis; James A Tulsky; Emily Chai; Judith E Nelson
Journal:  JAMA       Date:  2016-07-05       Impact factor: 56.272

10.  How should treatment decisions be made for incapacitated patients, and why?

Authors:  David I Shalowitz; Elizabeth Garrett-Mayer; David Wendler
Journal:  PLoS Med       Date:  2007-03       Impact factor: 11.069

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