Evidence map›Paper›PMID 42088099›Full record

ArticleNeurology. Education2026

Education Research: Learning to Prognosticate: An Educational Needs Assessment with Senior Child Neurology Residents.

Grant L Lin, Shelby D Burk, Beatrice D White, Jessica A Moriarty, David B Mauser, Claire E Wakefield, Courtney J Wusthoff, Justin Nathaniel Baker

Abstract read
In one paragraph

Article in Neurology. Education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Grant L LinDivision of Child Neurology, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA.ORCID https://orcid.org/0000-0001-6888-2140
Shelby D BurkDivision of Quality of Life and Pediatric Palliative Care, Department of Pediatrics, Stanford University School of Medicine, CA; and.ORCID https://orcid.org/0009-0007-9757-7576
Beatrice D WhiteDivision of Quality of Life and Pediatric Palliative Care, Department of Pediatrics, Stanford University School of Medicine, CA; and.ORCID https://orcid.org/0009-0003-8627-3316
Jessica A MoriartyDivision of Quality of Life and Pediatric Palliative Care, Department of Pediatrics, Stanford University School of Medicine, CA; and.ORCID https://orcid.org/0000-0003-2017-0739
David B MauserDivision of Quality of Life and Pediatric Palliative Care, Department of Pediatrics, Stanford University School of Medicine, CA; and.ORCID https://orcid.org/0009-0002-7922-8894
Claire E WakefieldDivision of Quality of Life and Pediatric Palliative Care, Department of Pediatrics, Stanford University School of Medicine, CA; and.ORCID https://orcid.org/0000-0001-7704-7067
Courtney J WusthoffDivision of Child Neurology, Department of Neurology, University of California-Davis.ORCID https://orcid.org/0000-0002-1882-5567
Justin Nathaniel BakerDivision of Quality of Life and Pediatric Palliative Care, Department of Pediatrics, Stanford University School of Medicine, CA; and.ORCID https://orcid.org/0000-0002-6584-6483

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Pediatric neuroprognostication is technically challenging and ethically complex. Despite its importance, little is known about how child neurology residents learn to estimate and communicate neurologic prognosis. Current educational interventions focus on communication but lack pediatric-specific focus. This exploratory qualitative study sought to describe how graduating residents conceptualize pediatric neuroprognostication, their educational experiences, and what gaps they identify in learning to prognosticate. Methods: Semistructured, one-on-one virtual interviews with senior child neurology residents (postgraduate year 5 or 6) were audio-recorded, transcribed, and deidentified. Participants also completed a postinterview survey on exposure to and perceived effectiveness of different learning modalities. Transcripts were analyzed iteratively using a constructivist grounded theory approach with regular consensus meetings. Preliminary themes and subthemes were presented to participants with opportunity for feedback using a standardized set of member checking questions. The findings of the study were mapped to elements of a targeted needs assessment in Kern's six-step model for curriculum development to help inform future educational efforts. Results: Fifteen residents representing 12 institutions across 10 states participated, representing diverse program sizes and geographic regions. Residents most frequently reported learning neuroprognostication through observation of attending physicians and clinical practice, while coaching/direct mentorship was also felt to be effective but less available. Qualitative analysis yielded 4 themes: conceptualizing content of neuroprognostication (for example, framing around common outcome domains), educational contributors (emphasizing the importance of effective modeling and graded autonomy), perceived efficacy in prognostication (such as relying on structured approaches), and identified gaps in education (including specific topics and modalities). These themes were then mapped to elements of a targeted needs assessment using Kern's six-step approach to curriculum development, highlighting opportunities and gaps in current educational approaches. Discussion: This qualitative study provides important context for considering strategies to improve resident education on neuroprognostication. The identified gaps highlight needs for structured debriefing and feedback with a particular opportunity for coaching-based strategies, consideration of simulation or roleplay-based modules, and focusing content development on pediatric disease-specific and ethical considerations. Limitations include the need for future work focused on educator perspectives. These findings provide a basis for developing neuroprognostication curricula for child neurology residents.

Identifiers

PMID42088099
PMCPMC13138259

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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.