The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Prevalence of and Factors Related to Discordance About Prognosis Between Physicians and Surrogate Decision Makers of Critically Ill Patients
Open accessAbstract
IMPORTANCE: Misperceptions about prognosis by individuals making decisions for incapacitated critically ill patients (surrogates) are common and often attributed to poor comprehension of medical information. OBJECTIVE: To determine the prevalence of and factors related to physician-surrogate discordance about prognosis in intensive care units (ICUs). DESIGN, SETTING, AND PARTICIPANTS: Mixed-methods study comprising quantitative surveys and qualitative interviews conducted in 4 ICUs at a major US medical center involving surrogate decision makers and physicians caring for patients at high risk of death from January 4, 2005, to July 10, 2009. MAIN OUTCOMES AND MEASURES: Discordance about prognosis, defined as a difference between a physician's and a surrogate's prognostic estimates of at least 20%; misunderstandings by surrogates (defined as any difference between a physician's prognostic estimate and a surrogate's best guess of that estimate); differences in belief (any difference between a surrogate's actual estimate and their best guess of the physician's estimate). RESULTS: Two hundred twenty-nine surrogate decision makers (median age, 47 [interquartile range {IQR}, 35-56] years; 68% women) and 99 physicians were involved in the care of 174 critically ill patients (median age, 60 [IQR, 47-74] years; 44% women). Physician-surrogate discordance about prognosis occurred in 122 of 229 instances (53%; 95% CI, 46.8%-59.7%). In 65 instances (28%), discordance was related to both misunderstandings by surrogates and differences in belief about the patient's prognosis; 38 (17%) were related to misunderstandings by surrogates only; 7 (3%) were related to differences in belief only; and data were missing for 12. Seventy-five patients (43%) died. Surrogates' prognostic estimates were much more accurate than chance alone, but physicians' prognostic estimates were statistically significantly more accurate than surrogates' (C statistic, 0.83 vs 0.74; absolute difference, 0.094; 95% CI, 0.024-0.163; P = .008). Among 71 surrogates interviewed who had beliefs about the prognosis that were more optimistic than that of the physician, the most common reasons for optimism were a need to maintain hope to benefit the patient (n = 34), a belief that the patient had unique strengths unknown to the physician (n = 24), and religious belief (n = 19). CONCLUSIONS AND RELEVANCE: Among critically ill patients, discordant expectations about prognosis were common between patients' physicians and surrogate decision makers and were related to misunderstandings by surrogates about physicians' assessments of patients' prognoses and differences in beliefs about patients' prognoses.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“their own prognostic estimates may also have served as “illocutionary acts”—that is, expressions distinct from comprehension with which they intended to express positive attitude, optimism, or faith; to highlight patients’ unrecognized qualities of resilience; or to counter clinicians’ pessimism (15, 34–36).”
From Effects of a Personalized Web-Based Decision Aid for Surrogate Decision Makers of Patients With Prolonged Mechanical Ventilation (2019) · cites this paper as [15]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Ineffective communication can result in the default provision of aggressive life support, which may conflict with patient preferences (15)”
From Effects of a Personalized Web-Based Decision Aid for Surrogate Decision Makers of Patients With Prolonged Mechanical Ventilation (2019) · cites this paper as [15]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(1998) · Sage eBooks · Cited by 38,631
The Discovery of Grounded Theory: Strategies for Qualitative Research
Glaser, B. G., & Strauss, A. L. (2017) · Aldine (Routledge reprint) · doi:10.4324/9780203793206 · Cited by 25,789
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649
(2006) · Cited by 18,730
Constructing Grounded Theory. A Practical Guide Through Qualitative Analysis
Boyle, C., & Barker, A. (2006) · QMiP Bulletin · doi:10.53841/bpsqmip.2006.1.2.36 · Cited by 11,844
The Discovery of Grounded Theory
Glaser, B. G., & Strauss, A. L. (2017) · Routledge eBooks · doi:10.4324/9780203793206-1 · Cited by 8,403
HUSKISSON, E. C. (1974) · The Lancet · doi:10.1016/s0140-6736(74)90884-8 · Cited by 4,533
Enhancing the quality and credibility of qualitative analysis.
(1999) · PubMed Central · Cited by 4,133
Clinical Epidemiology: A Basic Science for Clinical Medicine.
(1991) · Annals of Internal Medicine · doi:10.7326/0003-4819-114-9-825_9 · Cited by 3,497
A Controlled Trial to Improve Care for Seriously III Hospitalized Patients
Connors, A. F. (1995) · JAMA · doi:10.1001/jama.274.20.1591 · Cited by 3,451
(2010) · Sage eBooks · doi:10.4135/9781412961288.n40 · Cited by 2,028
The Clinical Course of Advanced Dementia.
Mitchell, S. L., Teno, J. M., Kiely, D. K., Shaffer, M. L., Jones, R. N., Prigerson, H. G., Volicer, L., Givens, J. L., & Hamel, M. B. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0902234 · Cited by 1,618
Understanding the treatment preferences of seriously ill patients.
Fried, T., Bradley, E. H., Towle, V., & Allore, H. (2002) · New England Journal of Medicine · doi:10.1056/nejmsa012528 · Cited by 1,426
Relationship between cancer patients' predictions of prognosis and their treatment preferences
Weeks, J. C. (1998) · JAMA · doi:10.1001/jama.279.21.1709 · Cited by 1,319
Advance Directives and Outcomes of Surrogate Decision Making before Death
Silveira, M. J., Kim, S. Y. H., & Langa, K. M. (2010) · New England Journal of Medicine · doi:10.1056/nejmsa0907901 · Cited by 1,298
Personal contact, individuation, and the better-than-average effect.
Alicke, M. D., Klotz, M. L., Breitenbecher, D. L., Yurak, T. J., & Vredenburg, D. S. (1995) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.68.5.804 · Cited by 950
Giacomini, M. K., Cook, D. J., & for the Evidence-Based Medicine Working Group (2000) · JAMA · doi:10.1001/jama.284.3.357 · Cited by 931
Watson, K. B. (2014) · Springer eBooks · doi:10.1007/978-94-007-0753-5_291 · Cited by 890
Clinical Epidemiology - a basic science for clinical medicine
HOFFBRAND, B. I. (1992) · Postgraduate Medical Journal · doi:10.1136/pgmj.68.806.987-a · Cited by 780
Simple tools for understanding risks: from innumeracy to insight
Gigerenzer, G., & Edwards, A. (2003) · BMJ · doi:10.1136/bmj.327.7417.741 · Cited by 776
Azoulay, E., Chevret, S., Leleu, G., Pochard, F., Barboteu, M., Adrie, C., Canoui, P., Le Gall, J. R., & Schlemmer, B. (2000) · Critical Care Medicine · doi:10.1097/00003246-200008000-00061 · Cited by 746
Shared Decision Making in ICUs
Kon, A. A., Davidson, J. E., Morrison, W. E., Danis, M., & White, D. B. (2015) · Critical Care Medicine · doi:10.1097/ccm.0000000000001396 · Cited by 574
Self-citationUnderstanding of Prognosis Among Parents of Children Who Died of Cancer
Wolfe, J., Klar, N. S., Grier, H. E., Duncan, J., Salem-Schatz, S. R., Emanuel, E. J., & Weeks, J. C. (2000) · JAMA · doi:10.1001/jama.284.19.2469 · Cited by 470
You, J. J., Downar, J., Fowler, R. A., Lamontagne, F., Ma, I. W. Y., Jayaraman, D., Kryworuchko, J., Strachan, P. H., Ilan, R., Nijjar, A. P., et al. (2015) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2014.7732 · Cited by 422
Expectations and outcomes of prolonged mechanical ventilation*
Cox, C. E., Martinu, T., Sathy, S. J., Clay, A. S., Chia, J., Gray, A. L., Olsen, M. K., Govert, J. A., Carson, S. S., & Tulsky, J. A. (2009) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181ab86ed · Cited by 319
Mack, J. W., Cook, E. F., Wolfe, J., Grier, H. E., Cleary, P. D., & Weeks, J. C. (2007) · Journal of Clinical Oncology · doi:10.1200/jco.2006.08.3170 · Cited by 187
Decision‐Making and Outcomes of Prolonged ICU Stays in Seriously Ill Patients
Teno, J. M., Fisher, E., Hamel, M. B., Wu, A. W., Murphy, D. J., Wenger, N. S., Lynn, J., & Harrell, F. E. (2000) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2000.tb03144.x · Cited by 182
Surrogate Decision Makers' Interpretation of Prognostic Information: A Mixed-Methods Study
Zier, L. S., Sottile, P. D., Hong, S. Y., Weissfield, L. A., & White, D. B. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-156-5-201203060-00008 · Cited by 171
Self-citationSulmasy, D. P., Astrow, A. B., He, M. K., Seils, D. M., Meropol, N. J., Micco, E., & Weinfurt, K. P. (2010) · Cancer · doi:10.1002/cncr.25201 · Cited by 159
Zier, L. S., Burack, J. H., Micco, G., Chipman, A. K., Frank, J. A., Luce, J. M., & White, D. B. (2008) · Critical Care Medicine · doi:10.1097/ccm.0b013e318180ddf9 · Cited by 129
Self-citationSurrogate Decision Makers' Responses to Physicians' Predictions of Medical Futility
Zier, L. S., Burack, J. H., Micco, G. P., Chipman, A. K., Frank, J. A., & White, D. B. (2009) · CHEST Journal · doi:10.1378/chest.08-2753 · Cited by 108
Self-citationChar, S. J. L., Evans, L. R., Malvar, G. L., & White, D. B. (2010) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201002-0262oc · Cited by 102
Self-citationSchenker, Y., White, D. B., Crowley‐Matoka, M., Dohan, D. P., Tiver, G. A., & Arnold, R. M. (2013) · Journal of Palliative Medicine · doi:10.1089/jpm.2012.0331 · Cited by 91
Self-citationIntensive care decision making in the seriously ill and elderly*
Lloyd, C. B., Nietert, P. J., & Silvestri, G. A. (2004) · Critical Care Medicine · doi:10.1097/01.ccm.0000115636.29294.2f · Cited by 87
Holland, J. C. (1989) · Journal of Clinical Oncology · doi:10.1200/jco.1989.7.5.557 · Cited by 71
APACHE II scoring to predict outcome in post-cardiac arrest
Donnino, M. W., Salciccioli, J. D., Dejam, A., Giberson, T. A., Giberson, B., Cristia, C., Gautam, S., & Cocchi, M. N. (2012) · Resuscitation · doi:10.1016/j.resuscitation.2012.10.024 · Cited by 68
The Clinical Course of Advanced Dementia
Genao, L., White, H., & Twersky, J. (2010) · New England Journal of Medicine · doi:10.1056/nejmc0911058 · Cited by 32
Advance Directives and Outcomes of Surrogate Decision Making Before Death
&NA; (2010) · Survey of Anesthesiology · doi:10.1097/sa.0b013e3181f21fb0 · Cited by 27
Expectations and outcomes of prolonged mechanical ventilation
Cox, C. E. (2010) · Critical Care Medicine · doi:10.1097/ccm.0b013e3181d8be6f · Cited by 23
Cited by
Sorted by citations
A randomized trial of a family-support intervention in intensive care units
White, D. B., Angus, D. C., Shields, A.-M., Buddadhumaruk, P., Pidro, C., Paner, C., Chaitin, E., Chang, C.-C. H., Pike, F., Weissfeld, L., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1802637 · Cited by 524
Self-citationDetsky, M. E., Harhay, M. O., Bayard, D. F., Delman, A. M., Buehler, A. E., Kent, S. A., Ciuffetelli, I. V., Cooney, E. L., Gabler, N. B., Ratcliffe, S. J., et al. (2017) · JAMA · doi:10.1001/jama.2017.4078 · Cited by 191
Time-limited trial of intensive care treatment: an overview of current literature
Vink, E. E., Azoulay, É., Caplan, A. L., Kompanje, E. J. O., & Bakker, J. (2018) · Intensive Care Medicine · doi:10.1007/s00134-018-5339-x · Cited by 164
Cox, C. E., White, D. B., Hough, C. L., Jones, D. M., Kahn, J. M., Olsen, M. K., Lewis, C. L., Hanson, L. C., & Carson, S. S. (2019) · Annals of Internal Medicine · doi:10.7326/m18-2335 · Cited by 152
“Ineffective communication can result in the default provision of aggressive life support, which may conflict with patient preferences (15) and lead to psychological distress among family members (16).”
Self-citationModes of Death Within a Children’s Hospital
Trowbridge, A. C., Walter, J. K., McConathey, E. M., Morrison, W. E., & Feudtner, C. (2018) · PEDIATRICS · doi:10.1542/peds.2017-4182 · Cited by 150
Metadata
- Authors
- White, D. B., Ernecoff, N., Buddadhumaruk, P., Hong, S., Weissfeld, L., Curtis, J. R., Luce, J. M., & Lo, B.
- Affiliations
- University of Pittsburgh (US)
- Statistics Collaborative (US)
- University of Washington (US)
- University of California, San Francisco (US)
- Corresponding author
- White, Douglas B.
- ORCID
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2016-05-17
- Volume
- 315
- Issue
- 19
- Pages
- 2086
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2407608263
- Cited by
- 232
- References
- 39
- Citations by year
- 2026: 15 · 2025: 15 · 2024: 21 · 2023: 28 · 2022: 17 · 2021: 28 · 2020: 31 · 2019: 24 · 2018: 25 · 2017: 20 · 2016: 7
- FWCI
- 25.12
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Heart, Lung, and Blood Institute (R01HL094553)
- National Center for Research Resources (KL2RR024130)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Palliative Care and End-of-Life Issues
- Health Sciences › Health Professions › General Health Professions › Ethics in medical practice
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Family and Patient Care in Intensive Care Units
- Keywords
- prognosis, surrogate decision makers, critically ill patients, intensive care unit, physician communication, end-of-life decisions, prognostic accuracy, advance care planning, physician-patient communication
- MeSH terms
- Adult, Aged, Attitude, Culture, Decision Making, Female, Humans, Intensive Care Units, Male, Middle Aged, Physicians, Probability, Prognosis, Terminal Care, Critical Illness, Proxy, Comprehension, Dissent and Disputes, Qualitative Research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review