Cited by 171Palliative Care and End-of-Life IssuesFamily and Patient Care in Intensive Care UnitsEthics in medical practice

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Surrogate Decision Makers' Interpretation of Prognostic Information: A Mixed-Methods Study

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Zier, Lucas S., Sottile, Peter D., Hong, Seo Yeon, Weissfield, Lisa A., White, Douglas B.·2012·Annals of Internal Medicine

Abstract

BACKGROUND: Little is known about why surrogate decision makers for patients with advanced illness often have overly optimistic expectations about prognosis. OBJECTIVE: To determine how surrogates interpret prognostic statements and to explore factors influencing surrogates' interpretations of grim prognostic information. DESIGN: Multicenter, mixed-methods study. SETTING: Intensive care units of 3 hospitals in San Francisco, California. PARTICIPANTS: 80 surrogates of critically ill patients. MEASUREMENTS: Participants recorded their interpretation of 16 prognostic statements using a standard probability scale. Generalized estimating equations were used to determine whether participants interpreted statements more optimistically as the expressed probability of survival decreased. Fifteen surrogates whose responses exhibited this trend participated in a semistructured interview. RESULTS: Participants' interpretations of prognostic statements expressing a low risk for death were relatively accurate, but interpretations of statements conveying a high risk for death were more optimistic than the actual meaning (P < 0.001; generalized estimating equation model). Interpretations of the statement "90% chance of surviving" did not differ from the actual meaning, but interpretations of "5% chance of surviving" were more optimistic and showed substantial variability (median, 90% [interquartile range, 90% to 95%; P = 0.11] vs. 15% [interquartile range, 5% to 40%; P < 0.001], respectively). Two main themes from the interviews explained this trend: surrogates' need to register optimism in the face of a poor prognosis and surrogates' belief that patient attributes unknown to the physician would lead to better-than-predicted outcomes. LIMITATION: Surrogates' interpretations were elicited in an experimental setting rather than during actual clinician-surrogate conversations. CONCLUSION: Inaccurate interpretations of physicians' prognostications by surrogates arise partly from optimistic biases rather than simply from misunderstandings. PRIMARY FUNDING SOURCE: National Heart, Lung, and Blood Institute.

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  1. 10.1001/jama.1995.03530200027032 · DOI
  2. Jansen LA, 2011, IRB, 33, 1
  3. 10.1177/0272989X08317012 · DOI

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Metadata

Authors
Zier, L. S., Sottile, P. D., Hong, S. Y., Weissfield, L. A., & White, D. B.
Affiliations
University of Pittsburgh (US)
Corresponding author
Zier, Lucas S.
Venue
Annals of Internal Medicine
Published
2012-03-06
Volume
156
Issue
5
Pages
360-366
ISSN
  • 0003-4819 (ISSN-L)
  • 1539-3704
OpenAlex
W1977488532
Cited by
171
References
29
Citations by year
2026: 3 · 2025: 11 · 2024: 8 · 2023: 12 · 2022: 13 · 2021: 13 · 2020: 11 · 2019: 9 · 2018: 14 · 2017: 12 · 2016: 18 · 2015: 16 · 2014: 14 · 2013: 12 · 2012: 4
FWCI
14.22
Type
journal article
Language
en
Open access
Locations
  • Annals of Internal Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Heart, Lung, and Blood Institute (R01HL094553)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Palliative Care and End-of-Life Issues
  • Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Family and Patient Care in Intensive Care Units
  • Health Sciences › Health Professions › General Health Professions › Ethics in medical practice
Keywords
surrogate decision-making, optimism bias, critical illness, intensive care unit patients, end-of-life care, survival probability, advance care planning
MeSH terms
Decision Making, Humans, Interviews as Topic, Physician's Role, Probability, Professional-Family Relations, Prognosis, Surveys and Questionnaires, San Francisco, Critical Illness

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