The influence of neighborhood income on healthcare utilization in pediatric liver transplant
Objectives Neighborhood contextual factors are associated with liver transplant outcomes. We analyzed associations between neighborhood‐level socioeconomic status and healthcare utilization for pediatric liver transplant recipients. Methods We merged the Pediatric Health Information System and Scien...
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Veröffentlicht in: | Journal of pediatric gastroenterology and nutrition 2024-07, Vol.79 (1), p.100-109 |
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Sprache: | eng |
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Zusammenfassung: | Objectives
Neighborhood contextual factors are associated with liver transplant outcomes. We analyzed associations between neighborhood‐level socioeconomic status and healthcare utilization for pediatric liver transplant recipients.
Methods
We merged the Pediatric Health Information System and Scientific Registry of Transplant Recipients databases and included liver transplant recipients ≤21 years hospitalized between January 2004 and May 2022. Outcomes were annual inpatient bed‐days, risk of hospitalizations, and risk of liver biopsies. The primary exposure was zip code‐based neighborhood income at transplant. We applied causal inference for variable selection in multivariable analysis. We modeled annual inpatient bed‐days with mixed‐effect zero‐inflated Poisson regression, and rates of hospitalization and liver biopsy with a Cox‐type proportional rate model.
Results
We included 1006 participants from 29 institutions. Children from low‐income neighborhoods were more likely to be publicly insured (67% vs. 46%), Black (20% vs. 12%), Hispanic (30% vs. 17%), and have higher model for end‐stage liver disease/pediatric end‐stage liver disease model scores at transplant (17 vs. 13) than the remaining cohort. We found no differences in inpatient bed‐days or rates of hospitalization across neighborhood groups. In univariable analysis, low‐income neighborhoods were associated with increased rates of liver biopsy (rate ratio [RR]: 1.57, 95% confidence interval [CI]: 1.04−2.34, p = 0.03). These findings persisted after adjusting for insurance, race, and ethnicity (RR: 1.86, 95% CI: 1.23−2.83, p |
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ISSN: | 0277-2116 1536-4801 1536-4801 |
DOI: | 10.1002/jpn3.12234 |