Evidence map›Paper›PMID 42447431›Full record

ArticleJMIR pediatrics and parenting2026

Online Information About Cardiac Neurodevelopment: Mixed Methods Study.

Jesse Boyett Anderson, Gabrielle Chinman, Diego Cisneros, Xiao Zhang, Peter Ferrazzano, Krisjon R Olson

Abstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jesse Boyett AndersonDepartment of Pediatrics, Division of Pediatric Cardiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792, United States, 1 6088904258, 1 6088908102.ORCID http://orcid.org/0000-0002-8983-3329
Gabrielle Chinman *Department of Neurology, UW Health, Madison, WI, United States.ORCID http://orcid.org/0009-0009-6655-0623
Diego Cisneros *David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.ORCID http://orcid.org/0009-0003-5034-1380
Xiao ZhangDepartment of Pediatrics, Division of Pediatric Cardiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792, United States, 1 6088904258, 1 6088908102.ORCID http://orcid.org/0000-0002-8362-7997
Peter FerrazzanoDepartment of Pediatrics, Division of Pediatric Critical Care Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States.ORCID http://orcid.org/0000-0002-7678-2980
Krisjon R OlsonDepartment of Pediatrics, Division of Pediatric Cardiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792, United States, 1 6088904258, 1 6088908102.ORCID http://orcid.org/0000-0002-0626-8409

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
NCATS NIH HHS UL1 TR002373
6 · The paper itself

Abstract

Background: Infants with complex heart disease often have delayed development, learning difficulties, and mental health problems as they grow older. Their parents and other caregivers engage in online health information-seeking behavior to understand and support their children's health and development. Objective: In this study, we analyze the presence, nature, and presentation of information about neurodevelopment on the websites of congenital cardiac surgical programs in the United States. Methods: We used a mixed methods approach, specifically a convergent design. We correlated the presence and presentation of information about neurodevelopment on each program's website with state-level and program-specific factors extracted from multiple publicly available databases. Quantitative analysis methods included descriptive analyses, Student t tests, Pearson chi-square test, and multivariate logistic regression analysis, all performed using SPSS (IBM Corp). Qualitative methods included both inductive and deductive content analysis. Results: Only 39% (50/129) of programs provided any information about neurodevelopment online. High surgical volume correlated with the presence of online information (P<.001). Websites were written at an average 7th to 10th grade reading level, and fewer than 5% of websites had information in a language other than English. Two semantic clusters of website format, content, and element selection were identified, reflecting distinct approaches to adult learners. Program websites clustered into "sage on the stage" and "guide on the side" formats. Few websites incorporated features caregivers previously identified as useful, with only 6% including the four most helpful features. Conclusions: We highlight the paucity of accessible caregiver-oriented information about neurodevelopment on congenital cardiac surgical programs' websites in the United States and characterize two primary website models. The lack of information may negatively impact caregiver understanding of and engagement with neurodevelopmental services for their child with a congenital heart defect. Future research should explore the impact of each website model on caregiver understanding of and engagement with neurodevelopmental services, as well as the generalizability of these findings to other domains of pediatric subspecialty care.

Indexed as

cardiac surgerycaregiverdigital mediaheart defects, congenitalneurodevelopmentOHISonline health information seekingpediatric hospitalqualitative researchquality of life

Identifiers

PMID42447431
PMCPMC13367757

What OpenQuestion holds

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LicenceCC BY
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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.