Evidence map›Paper›PMID 39428089›Full record

ArticleThe Journal of pediatrics2025

Caregiver Values and Preferences Related to Surgical Decision-Making for Children with Medical Complexity.

Jody L Lin, Tsivya Devereaux, Tamara D Simon, Kimberly A Kaphingst, Angela Zhu, Unni Narayanan, Andrew B L Berry, Kaleb G Eppich, Greg Stoddard, John T Smith and 5 more

Abstract read
In one paragraph

Article in The Journal of pediatrics, 2025. 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. Review
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

15 authors.

Jody L LinDivision of Pediatric Hospital Medicine, Department of Pediatrics, University of Utah, Salt Lake City, UT. Electronic address: jody.lin@hsc.utah.edu.
Tsivya DevereauxSchool of Medicine, University of Utah, Salt Lake City, UT.
Tamara D SimonDivision of Hospital Medicine, Department of Pediatrics, University of Southern California Keck School of Medicine, Los Angeles, CA.
Kimberly A KaphingstDepartment of Communication, University of Utah, Salt Lake City, UT; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT.
Angela ZhuDivision of Pediatric Hospital Medicine, Department of Pediatrics, University of Utah, Salt Lake City, UT.
Unni NarayananOrthopaedic Surgery, Rehabilitation Sciences, Institute of Health Policy Management & Evaluation, University of Toronto, Hospital for Sick Children, Toronto, Canada.
Andrew B L BerryDepartment of Medical Social Sciences, Northwestern University, Evanston, IL.
Kaleb G EppichDivision of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT.
Greg StoddardStudy Design and Biostatistics Center, University of Utah, Salt Lake City, UT.
John T SmithThe Orthopedic Partners, Salt Lake City, UT.
Lindsay AndrasJackie and Gene Autry Children's Orthopedic Center, Children's Hospital Los Angeles, Los Angeles, CA.
John HeflinThe Orthopedic Partners, Salt Lake City, UT.
Heather T KeenanDivision of Critical Care Medicine, Department of Pediatrics, University of Utah, Salt Lake City, UT.
Steven M AschDepartment of Medicine, Stanford University, Stanford, CA.
Angela FagerlinDepartment of Population Health Sciences, University of Utah, Salt Lake City, UT; Salt Lake City VA Informatics Decision-Enhancement and Analytic Sciences, Salt Lake City, UT.

Funding

CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
Developing an Innovative Decision Support Tool for Pediatric Neuromuscular ScoliosisK23AR079778 · NIAMS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jody Lin · 2022 to 2026
$942k
NCATS NIH HHS UM1 TR004409NIAMS NIH HHS K23 AR079778
6 · The paper itself

Abstract

objectiveTo uncover the values and preferences of the caregivers for children with medical complexity using the test case of surgical treatment decision-making for pediatric neuromuscular scoliosis that will inform the future development of a decision support tool in this population. STUDY

designWe conducted a qualitative study of semistructured interviews of English- and Spanish-speaking caregivers of children with neuromuscular scoliosis from 2 geographically distinct children's hospitals. We used purposive sampling of language and treatment options selected to capture diverse experiences. Analysis was on the basis of grounded theory with synthesized caregiver values and preferences themes.

resultsFrom 47 participants, we completed 41 interviews (9 in Spanish). Caregivers had a mean age of 43.2 years, were mostly White (66%), and had children with a mean age of 15.6. In total, 64% chose surgery. The following values and preferences were important to many caregivers: reducing scoliosis-related pain, minimizing mobility limitations to optimize socioemotional quality of life, limiting the impact of comorbidities on overall quality of life, information provided by peer support, the uncertainty of outcomes due to underlying comorbidities, and the uncertainty related to the anticipated progression of their child's scoliosis curve. Caregivers experienced immense uncertainty related to treatment outcomes due to their child's comorbidities.

conclusionsCaregivers of children with medical complexity may benefit from decision support that includes both values clarification exercises to help caregivers identify what of the many possible values and preferences are important to them and novel methods to communicate uncertainty in the care of CMC.

Indexed as

CaregiversDecision MakingQualitative ResearchScoliosisAdolescentAdultChildFemaleHumansInterviews as TopicMaleMiddle AgedQuality of Life

Identifiers

PMID39428089
PMCPMC11645212

What OpenQuestion holds

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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.