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Common Data Elements Regarding Social Determinants of Health in Pediatric Epilepsy Research: A Concept Mapping Study
Laura Kirkpatrick1, Chethan K Rao2, Christopher W Beatty3
1Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Insights
Researchers developed standardized data elements for pediatric epilepsy research to address social determinants of health and evaluate health disparities. This work aims to improve data collection and analysis for better health equity outcomes.
Area of Science:
- Pediatric Health Research
- Health Equity Studies
- Data Standardization
Background:
- The Pediatric Epilepsy Research Consortium (PERC) Health Equity Special Interest Group (SIG) initiated a project to develop Common Data Elements (CDE) focused on social determinants of health.
- The goal was to standardize data collection for a more robust evaluation of health disparities in pediatric epilepsy research.
Purpose of the Study:
- To develop a consensus-driven set of Common Data Elements (CDE) for measuring social determinants of health in pediatric epilepsy research.
- To prioritize factors for data collection based on importance and ease of measurement.
Main Methods:
- Concept Mapping, a participatory mixed-method approach, was employed.
- Participants identified, sorted, and rated social factors relevant to pediatric epilepsy.
- Multidimensional scaling, cluster analysis, and bivariate scatterplots were used for data analysis and prioritization.
Main Results:
- 110 candidate factors were generated by 81 PERC members.
- Factors were categorized into five clusters: Household and Neighborhood Resources, Family Context, Individual Demographics, Healthcare Experiences, and School.
- A final set of 42 CDE was established, prioritizing factors rated as highly important and easily measurable.
Conclusions:
- The developed CDE set will facilitate systematic analyses of health disparities in pediatric epilepsy.
- Standardized data collection through CDE is crucial for advancing health equity in this population.
Background:
The 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.
Methods:
Concept 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.
Results:
Eighty-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.
Conclusions:
Inclusion of CDE in future pediatric epilepsy research will enable researchers to undertake systematic analyses of health disparities.
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