ArticlePediatric neurology2025
Common Data Elements Regarding Social Determinants of Health in Pediatric Epilepsy Research: A Concept Mapping Study.
Article in Pediatric neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed.
- Assessing Sudden Unexpected Death in Epilepsy (SUDEP), Mortality, and Suicide in Pediatric Epilepsy from the lens of Healthcare Disparities: Data From a Scoping Review.Journal of child neurology · 2026Article
- Common Data Element (CDE) Success from Community-Engagement Not Mandates: If You Build It [Data Warehouse], Will They [Participants] Come?American journal of public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
backgroundThe Pediatric Epilepsy Research Consortium (PERC) Health Equity Special Interest Group (SIG) used Concept Mapping to begin developing Common Data Elements (CDE) about social determinants of health to standardize data collection and facilitate robust evaluation of health disparities in pediatric epilepsy research.
methodsConcept Mapping is a structured participatory mixed method suited for developing group consensus. PERC members (1) identified social factors that are important to measure in pediatric epilepsy research, (2) sorted factors into meaningful categories, and (3) rated the factors on importance and ease of measurement. The authors applied multidimensional scaling to the sorting data, created spatial point maps, and used hierarchical cluster analysis to define concepts. A bivariate scatterplot was used to explore importance versus ease of measurement to prioritize factors for inclusion. The PERC Health Equity SIG met on three occasions to interpret research findings and finalize a CDE set.
resultsEighty-one PERC members generated 110 candidate factors. Thirty PERC members completed sorting, and 48 completed rating. The factors grouped into a five-cluster solution: "Household and Neighborhood Resources," "Family Context," "Individual Demographics," "Healthcare Experiences," and "School." Sixty-two items were rated with high importance, of which 34 were rated with high ease. The PERC Health Equity SIG decided by consensus to include most items with high importance and high ease ratings, plus selected additional items. The final CDE set consists of 42 items.
conclusionsInclusion of CDE in future pediatric epilepsy research will enable researchers to undertake systematic analyses of health disparities.
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Registered trials
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.