ArticleAcademic pediatrics
Using Address Information to Identify Hardships Reported by Families of Children Hospitalized With Asthma.
Article in Academic pediatrics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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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.
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Who cites it
24 citing papers in PubMed.
- Lost Earnings and Nonmedical Expenses of Pediatric Hospitalizations.Pediatrics · 2018Trial
- Effects of a 1-Time Nurse-Led Telephone Call After Pediatric Discharge: The H2O II Randomized Clinical Trial.JAMA pediatrics · 2018Trial
- Postdischarge Nurse Home Visits and Reuse: The Hospital to Home Outcomes (H2O) Trial.Pediatrics · 2018Trial
- Socioeconomic Deprivation in Adolescents Hospitalized with Anorexia Nervosa and Atypical Anorexia Nervosa.Children (Basel, Switzerland) · 2026Article
- Integrating geospatial data with birth cohorts to explore social determinants of health and asthma.The Journal of allergy and clinical immunology · 2025Review
- A novel tool using social and environmental determinants of health to assess pediatric asthma in the emergency department.Journal of the American College of Emergency Physicians open · 2024Article
- Development of a multimodal geomarker pipeline to assess the impact of social, economic, and environmental factors on pediatric health outcomes.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Building a regional pediatric asthma learning health system in support of optimal, equitable outcomes.Learning health systems · 2024Article
- Combining zip code-based population data and pharmacy administrative claims data to create measures of social determinants of health.Journal of managed care & specialty pharmacy · 2024Article
- Gene-environment interactions and their impact on human health.Genes and immunity · 2023Review
- Development and Validation of an Integrated Suite of Prediction Models for All-Cause 30-Day Readmissions of Children and Adolescents Aged 0 to 18 Years.JAMA network open · 2022Article
- Adjusting for Social Risk Factors in Pediatric Quality Measures: Adding to the Evidence Base.Academic pediatrics · 2022Article
- Socioeconomic Impact on Outcomes During the First Year of Life of Patients with Single Ventricle Heart Disease: An Analysis of the National Pediatric Cardiology Quality Improvement Collaborative Registry.Pediatric cardiology · 2022Article
- Effect of Parental Adverse Childhood Experiences and Resilience on a Child's Healthcare Reutilization.Journal of hospital medicine · 2020Article
- Influences of environmental exposures on individuals living with cystic fibrosis.Expert review of respiratory medicine · 2020Review
- Individual and Neighborhood Factors Associated with Undiagnosed Asthma in a Large Cohort of Urban Adolescents.Journal of urban health : bulletin of the New York Academy of Medicine · 2019Article
- Adding a Vital Sign: Considering the Utility of Place-Based Measures in Health Care Settings.Hospital pediatrics · 2018Article
- Is a Patient's Current Address of Record a Reasonable Measure of Neighborhood Deprivation Exposure? A Case for the Use of Point in Time Measures of Residence in Clinical Care.Health equity · 2018Article
- Uses and Misuses of Patient- and Neighborhood-level Social Determinants of Health Data.The Permanente journal · 2018Article
- Socioeconomic Background and Commercial Health Plan Spending.Pediatrics · 2017Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
objectiveSocioeconomic hardship is common among children hospitalized for asthma but often not practically measurable. Information on where a child resides is universally available. We sought to determine the correlation between neighborhood-level socioeconomic data and family-reported hardships.
methodsCaregivers of 774 children hospitalized with asthma answered questions regarding income, financial strain, and primary care access. Addresses were geocoded and linked to zip code-, census tract-, and block group-level (neighborhood) data from the US Census. We then compared neighborhood median household income with family-reported household income; percentage of neighborhood residents living in poverty with family-reported financial strain; and percentage of neighborhood households without an available vehicle with family-reported access to primary care. We constructed heat maps and quantified correlations using Kendall rank correlation coefficient. Receiver operator characteristic curves were used to assess predictive abilities of neighborhood measures.
resultsThe cohort was 57% African American and 73% publicly-insured; 63% reported income <$30,000, 32% endorsed ≥4 financial strain measures, and 38% reported less than adequate primary care access. Neighborhood median household income was significantly and moderately correlated with and predictive of reported household income; neighborhood poverty was similarly related to financial strain; neighborhood vehicle availability was weakly correlated with and predictive of primary care access. Correlations and predictions provided by zip code measures were similar to those of census tract and block group.
conclusionsUniversally available neighborhood information might help efficiently identify children and families with socioeconomic hardships. Systematic screening with area-level socioeconomic measures has the potential to inform resource allocation more efficiently.
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