Literature DB >> 8192175

More talk, less paper: predicting the accuracy of substituted judgments.

D P Sulmasy1, K Haller, P B Terry.   

Abstract

PURPOSE: To study the accuracy of substituted judgments regarding life-sustaining therapies and other therapies made by surrogate decision makers and to investigate factors associated with more accurate predictions. PATIENTS AND METHODS: A total of 50 pairs of ambulatory patients and surrogates, chosen according to a legal hierarchy, underwent separate interviews in which surrogates were asked to predict the preferences of patients for eight modes of medical therapy in three clinical scenarios, given only yes or no as response options. Patient preferences, their surrogates' predictions, and the extent of agreement between the two were measured. The total number of correct predictions constituted the Surrogate Accuracy in Matching Patient Preferences Scale (SAMPPS). Sociodemographic factors associated with agreement were also assessed.
RESULTS: Agreement between patients and surrogates ranged from 57% to 81%. The mean SAMPPS score was 17 of 24 correct. Kappa (k) coefficients, which measure inter-rater concordance, were positive for 23 of 24 items and were 0.3 or greater (P < 0.05) for 14 of 24 items. Rates of agreement were not related to whether the surrogate interviewed (surrogate determined by state law) was the person the patient would have chosen as a surrogate or whether the patient had an advance directive. In multiple linear regression analysis, both prior discussions of preferences and nonchurchgoing behavior were significantly associated with patient-surrogate agreement, independent of religious denomination and race.
CONCLUSION: When pressed to choose, surrogates can predict the preferences of patients for life-sustaining therapies with an imperfect accuracy that nonetheless significantly exceeds the agreement expected due to chance alone. Exhorting surrogates to give their "best estimate" and encouraging prior discussions may improve accuracy. Houses of worship might be important target sites for campaigns to improve public awareness about advance directives.

Entities:  

Keywords:  Death and Euthanasia; Empirical Approach; Johns Hopkins Internal Medicine Faculty Practice; Professional Patient Relationship

Mesh:

Year:  1994        PMID: 8192175     DOI: 10.1016/0002-9343(94)90170-8

Source DB:  PubMed          Journal:  Am J Med        ISSN: 0002-9343            Impact factor:   4.965


  22 in total

1.  From informed consent to substituted judgment: decision-making at the end-of-life.

Authors:  Mark Kuczewski
Journal:  HEC Forum       Date:  2004-03

2.  Who Decides When a Patient Can't? Statutes on Alternate Decision Makers.

Authors:  Erin S DeMartino; David M Dudzinski; Cavan K Doyle; Beau P Sperry; Sarah E Gregory; Mark Siegler; Daniel P Sulmasy; Paul S Mueller; Daniel B Kramer
Journal:  N Engl J Med       Date:  2017-04-13       Impact factor: 91.245

3.  Family understanding of seriously-ill patient preferences for family involvement in healthcare decision making.

Authors:  Rashmi K Sharma; Mark T Hughes; Marie T Nolan; Carrie Tudor; Joan Kub; Peter B Terry; Daniel P Sulmasy
Journal:  J Gen Intern Med       Date:  2011-04-16       Impact factor: 5.128

4.  Informed consent in emergency research: a contradiction in terms.

Authors:  Malcolm G Booth
Journal:  Sci Eng Ethics       Date:  2007-08-03       Impact factor: 3.525

5.  Substituted judgment: the limitations of autonomy in surrogate decision making.

Authors:  Alexia M Torke; G Caleb Alexander; John Lantos
Journal:  J Gen Intern Med       Date:  2008-07-10       Impact factor: 5.128

6.  When patients lack capacity: the roles that patients with terminal diagnoses would choose for their physicians and loved ones in making medical decisions.

Authors:  Marie T Nolan; Mark Hughes; Derek Paul Narendra; Johanna R Sood; Peter B Terry; Alan B Astrow; Joan Kub; Richard E Thompson; Daniel P Sulmasy
Journal:  J Pain Symptom Manage       Date:  2005-10       Impact factor: 3.612

7.  Ethical considerations in the collection of genetic data from critically ill patients: what do published studies reveal about potential directions for empirical ethics research?

Authors:  B D Freeman; C R Kennedy; H L Frankel; B Clarridge; D Bolcic-Jankovic; E Iverson; E Shehane; A Celious; B A Zehnbauer; T G Buchman
Journal:  Pharmacogenomics J       Date:  2009-12-08       Impact factor: 3.550

8.  Preventing life-sustaining treatment by default.

Authors:  Ursula K Braun; Laurence B McCullough
Journal:  Ann Fam Med       Date:  2011 May-Jun       Impact factor: 5.166

9.  Agreement between prostate cancer patients and their clinicians about utilities and attribute importance.

Authors:  Arthur S Elstein; Gretchen B Chapman; Joan S Chmiel; Sara J Knight; Cheeling Chan; Robert B Nadler; Timothy M Kuzel; Amy K Siston; Charles L Bennett
Journal:  Health Expect       Date:  2004-06       Impact factor: 3.377

10.  Relatives' knowledge of decision making in intensive care.

Authors:  M G Booth; P Doherty; R Fairgrieve; J Kinsella
Journal:  J Med Ethics       Date:  2004-10       Impact factor: 2.903

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