Evidence map›Paper›PMID 37865797›Full record

ArticleCritical care (London, England)2023

Prevalence and predictors of shared decision-making in goals-of-care clinician-family meetings for critically ill neurologic patients: a multi-center mixed-methods study.

Victoria Fleming, Abhinav Prasad, Connie Ge, Sybil Crawford, Shazeb Meraj, Catherine L Hough, Bernard Lo, Shannon S Carson, Jay Steingrub, Douglas B White and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Critical care (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Development of web- and mobile-based shared decision-making tools in the neurological intensive care unit.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Review
  16. Article
  17. Article
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  19. Artificial intelligence to assist decision-making on pharmacotherapy: A feasibility study.Exploratory research in clinical and social pharmacy · 2024
    Article
  20. End-of-Life Care in an Acute Neurological Ward: A Retrospective Analysis of Clinical Practices During the Last Week of Life.The Journal of neuroscience nursing : journal of the American Association of Neuroscience Nurses
    Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Victoria FlemingDepartments of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Abhinav PrasadDepartments of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Connie GeDepartments of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Sybil CrawfordTan Chingfen University of Massachusetts Graduate School of Nursing, Worcester, MA, USA.
Shazeb MerajDepartments of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Catherine L HoughDepartment of Medicine, Oregon Health & Science University, Portland, OR, USA.
Bernard LoDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA.
Shannon S CarsonDivision of Pulmonary and Critical Care Medicine, Department of Medicine, University of North Carolina Hospitals, Chapel Hill, NC, USA.
Jay SteingrubDivision of Pulmonary Medicine and Critical Care Medicine, Department of Internal Medicine, University of Massachusetts Medical School - Baystate, Springfield, MA, USA.
Douglas B WhiteDepartment of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Susanne MuehlschlegelDepartments of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, USA. SMuehlsch@jhu.edu.

Funding

University of Massachusetts Center for Clinical and Translational ScienceUL1TR000161 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2012 to 2015
$11.0M
Identifying Effective Strategies to Disclose Prognosis in Patients with ARDSR01HL094553 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WHITE, DOUGLAS B · 2009 to 2012
$2.8M
Mentored Patient Oriented Research in Improving Surrogate Decision Making for Patients with Advanced Respiratory FailureK24HL148314 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Douglas B White · 2019 to 2026
$944k
Improving Clinical Decisions for Critically Ill Traumatic Brain Injury PatientsK23HD080971 · NICHD · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MUEHLSCHLEGEL, SUSANNE · 2015 to 2019
$751k
Improving patient care in severe acute brain injury: a web/mobile/tablet-based communication and decision support tool for clinicians and families in the neuro-ICUR21NR020231 · NINR · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI HENNINGER, NILS, MUEHLSCHLEGEL, SUSANNE · 2022 to 2023
$461k
NCATS NIH HHS UL1 TR000161NHLBI NIH HHS K24 HL148314NHLBI NIH HHS R01 HL094553NHLBI NIH HHS R01HL094553NICHD NIH HHS K23 HD080971NINR NIH HHS R21 NR020231NINR NIH HHS R21NR020231
6 · The paper itself

Abstract

backgroundShared decision-making is a joint process where patients, or their surrogates, and clinicians make health choices based on evidence and preferences. We aimed to determine the extent and predictors of shared decision-making for goals-of-care discussions for critically ill neurological patients, which is crucial for patient-goal-concordant care but currently unknown.

methodsWe analyzed 72 audio-recorded routine clinician-family meetings during which goals-of-care were discussed from seven US hospitals. These occurred for 67 patients with 72 surrogates and 29 clinicians; one hospital provided 49/72 (68%) of the recordings. Using a previously validated 10-element shared decision-making instrument, we quantified the extent of shared decision-making in each meeting. We measured clinicians' and surrogates' characteristics and prognostic estimates for the patient's hospital survival and 6-month independent function using post-meeting questionnaires. We calculated clinician-family prognostic discordance, defined as ≥ 20% absolute difference between the clinician's and surrogate's estimates. We applied mixed-effects regression to identify independent associations with greater shared decision-making.

resultsThe median shared decision-making score was 7 (IQR 5-8). Only 6% of meetings contained all 10 shared decision-making elements. The most common elements were "discussing uncertainty"(89%) and "assessing family understanding"(86%); least frequent elements were "assessing the need for input from others"(36%) and "eliciting the context of the decision"(33%). Clinician-family prognostic discordance was present in 60% for hospital survival and 45% for 6-month independent function. Univariate analyses indicated associations between greater shared decision-making and younger clinician age, fewer years in practice, specialty (medical-surgical critical care > internal medicine > neurocritical care > other > trauma surgery), and higher clinician-family prognostic discordance for hospital survival. After adjustment, only higher clinician-family prognostic discordance for hospital survival remained independently associated with greater shared decision-making (p = 0.029).

conclusionFewer than 1 in 10 goals-of-care clinician-family meetings for critically ill neurological patients contained all shared decision-making elements. Our findings highlight gaps in shared decision-making. Interventions promoting shared decision-making for high-stakes decisions in these patients may increase patient-value congruent care; future studies should also examine whether they will affect decision quality and surrogates' health outcomes.

Indexed as

Decision MakingGoalsCritical IllnessHumansIntensive Care UnitsPrevalenceClinician-family communicationEnd-of-lifeEnd-of-life careFamily meetingsGoals-of-careIntracerebral HemorrhageNeurocritical carePalliative careSABIShared decision-makingStrokeTraumatic brain injury

Identifiers

PMID37865797
PMCPMC10590503

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Registered trials

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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.