ArticleClinical pediatrics2024
Association of Socioeconomic Factors and Severity of Bronchiolitis Hospitalizations.
Article in Clinical pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- The Impact of Socioeconomic Inequities and Small-Area Deprivation on Child Inpatient Care: Evidence from a Quantitative Study in a Vulnerable Suburban Setting.International journal of environmental research and public health · 2026Article
- Osteopathic Manipulative Treatment in 564 Children with Congenital Heart Disease: A Project Report.Children (Basel, Switzerland) · 2026Article
- Recurrent Preschool Wheeze: The Impact of Adverse Social Drivers of Health and Opportunities for Interventions.The journal of allergy and clinical immunology. In practice · 2025Review
- Respiratory Support Practices for Bronchiolitis in the Pediatric Intensive Care Unit.JAMA network open · 2024Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is unclear if socioeconomic status (SES) factors influence severity of illness of patients hospitalized with bronchiolitis. This study was conducted to identify SES factors including the Center for Disease Control and Prevention's Social Vulnerability Composite Index (SVI), estimated income, proportion of minority, proportion of living below poverty, insurance status, and number of household members associated with length of stay (LOS) and intensive care unit admission. Infants hospitalized at a tertiary care urban center for bronchiolitis were identified using International Classification of Diseases codes. Federal information processing system codes were identified from home address and paired with SVI and 2018 census tract. Other measures of SES were obtained from the Federal Financial Institutions Examination Council. Number of household members, insurance, age, sex, and history of prematurity were recorded from patient chart. Length of stay was modeled with mixed effects negative binomial regression and pediatric intensive care unit (PICU) admission with mixed effects logistic regression with random intercept at the census tract and adjustment for clinical factors. A total of 417 infants had median age of 144 days (interquartile range (IQR): 61, 357) and 136 (33%) were born premature. Median LOS was 62 hours (24, 136) with 97 (23%) patients admitted to the PICU. Median household members were 4 (4, 5). For each increase in household member, there was 7% increase in LOS (incidence rate ratio 1.07, 95% confidence interval: 1-1.14,
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