Evidence map›Paper›PMID 23660727›Full record

Trial reportCritical care medicine2013

The effect of emotion and physician communication behaviors on surrogates' life-sustaining treatment decisions: a randomized simulation experiment.

Amber E Barnato, Robert M Arnold

Registry-linked trialOpen access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Critical care medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04239209 (The Effect of Intensivist Communication on Prognosis Interpretation by Family Members of Patients at High Risk for Intensive Care Unit Admission), which is not on this map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04239209 nacompletednot on this mapstarted 2019, after this paper: background citation

The Effect of Intensivist Communication on Prognosis Interpretation by Family Members of Patients at High Risk for Intensive Care Unit Admission: A Randomized Trial

TypeinterventionalSponsorJohns Hopkins UniversityRan2019 to 2019Enrolled302ConditionsCritical IllnessArmsIndirect - other patients, Indirect - physiology, Redirection, Direct communication
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 102 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Optimism bias in understanding neonatal prognoses.Journal of perinatology : official journal of the California Perinatal Association · 2021
    Article
  13. We Need a Paradigm Shift Around End-of-Life Decision Making.Journal of the American Geriatrics Society · 2021
    Article
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. The patient perspective and physician's role in making decisions on instituting dialysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2013
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Amber E BarnatoDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA. aeb2@pitt.edu
Robert M Arnold
University of Pittsburgh · US

Funding

UNIVERSITY OF PITTSBURGH CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE: BPCAUL1RR024153 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2006 to 2011
$73.9M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Using behavioral economics to understand end-of-life decisionsK18NR012847 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BARNATO, AMBER E · 2010 to 2010
$69k
NCATS NIH HHS UL1 TR000005NCATS NIH HHS UL1TR000005NCRR NIH HHS UL1 RR024153NINR NIH HHS K18 NR012847
6 · The paper itself

Abstract

objectiveSurrogate decision makers for critically ill patients experience strong negative emotional states. Emotions influence risk perception, risk preferences, and decision making. We sought to explore the effect of emotional state and physician communication behaviors on surrogates' life-sustaining treatment decisions.

design5 × 2 between-subject randomized factorial experiment.

settingWeb-based simulated interactive video meeting with an intensivist to discuss code status. SUBJECTS: Community-based participants 35 and older who self-identified as the surrogate for a parent or spouse recruited from eight U.S. cities through public advertisements.

interventionsBlock random assignment to emotion arousal manipulation and each of the four physician communication behaviors. MEASUREMENTS AND MAIN

resultsSurrogate's code status decision (cardiopulmonary resuscitation vs do not resuscitate/allow natural death). Two hundred fifty-six of 373 respondents (69%) logged-in and were randomized: average age was 50; 70% were surrogates for a parent; 63.5% were women; 76% were white, 11% black, and 9% Asian; and 81% were college educated. When asked about code status, 56% chose cardiopulmonary resuscitation. The emotion arousal manipulation increased the score on depression-dejection scale (β = 1.76 [0.58 - 2.94]) but did not influence cardiopulmonary resuscitation choice. Physician attending to emotion and framing the decision as the patient's rather than the surrogate's did not influence cardiopulmonary resuscitation choice. Framing no cardiopulmonary resuscitation as the norm rather than cardiopulmonary resuscitation resulted in fewer surrogates choosing cardiopulmonary resuscitation (48% vs 64%, odds ratio, 0.52 [95% CI, 0.32-0.87]), as did framing the alternative to cardiopulmonary resuscitation as "allow natural death" rather than do not resuscitate (49% vs 61%, odds ratio, 0.58 [95% CI, 0.35-0.96]).

conclusionsExperimentally induced emotional state did not influence code status decisions, although small changes in physician communication behaviors substantially influenced this decision.

Indexed as

CommunicationDecision MakingEmotionsPhysiciansAdultAdvance DirectivesCardiopulmonary ResuscitationComputer SimulationCritical IllnessFemaleHumansMaleMiddle AgedRandom AllocationSocioeconomic Factors

Identifiers

PMID23660727
PMCPMC3687021
OpenAlexW2081103670

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.