Evidence map›Paper›PMID 39643583›Full record

ReviewNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2025

Development of web- and mobile-based shared decision-making tools in the neurological intensive care unit.

Winnie L Liu, Lidan Zhang, Soussan Djamasbi, Bengisu Tulu, Susanne Muehlschlegel

Abstract readReview
In one paragraph

Review in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Advancing neurocritical care: Bridging molecular mechanisms and physiological monitoring to neurotherapeutics.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Article
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

5 authors.

Winnie L LiuJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Lidan ZhangThe Business School, Worcester Polytechnic Institute, Worcester, MA, USA.
Soussan DjamasbiUser Experience and Decision Making (UXDM) Laboratory, The Business School, Worcester Polytechnic Institute, Worcester, MA, USA.
Bengisu TuluThe Business School, Worcester Polytechnic Institute, Worcester, MA, USA.
Susanne MuehlschlegelDepartments of Neurology, Anesthesiology & Critical Care Medicine, and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, University of Massachusetts Chan Medical School, Worcester, MA, USA. Electronic address: SMuehlsch@jhu.edu.

Funding

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
NINR NIH HHS R21 NR020231
6 · The paper itself

Abstract

In the neurological intensive care unit (neuroICU), patients with severe acute brain injury (SABI) are rendered unable to make their own healthcare decisions. The responsibility of making life-or-death decisions, such as goals of care, is carried by surrogate decision-makers, usually families. In addition to the burden of decision-making, the emotional burden on families is further compounded by prognostication uncertainty, time-pressure for decision-making, and difficulties in understanding and interpreting the patient's values and preferences, ultimately resulting in potential clinician-family communication breakdown. Despite these challenges, there is currently no guidance on how to best approach these difficult decisions. Shared decision-making (SDM) has emerged as the recommended approach to improve clinician-family communication, empowering surrogates to take an active role in decision-making by providing a structured framework for information exchange, deliberation, and treatment decisions. Decision aids (DAs) facilitate SDM by offering balanced, accessible, unbiased information and helping surrogates decide according to patients' values. This review highlights the potential advantage of digital over paper-based DAs, including improved accessibility, interactivity, and personalization, and the integration of emerging technologies to enhance DA effectiveness. Additionally, we review the current digital DAs developed for the neuroICU setting.

Indexed as

Critical CareDecision Making, SharedDecision Support TechniquesIntensive Care UnitsInternetMobile ApplicationsNeurologyHumansDigital Decision Aids (DAs)Goals of CareSevere Acute Brain Injury (SABI)Surrogate Decision-Making

Identifiers

PMID39643583
PMCPMC11840347

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.