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1.
Article in English | MEDLINE | ID: mdl-38693791

ABSTRACT

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 (RR: 1.57, 95% 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 < 0.01). CONCLUSIONS: Children from low-income neighborhoods undergo more liver biopsies than other children. These procedures are invasive and potentially preventable. In addition to improving outcomes, interventions to mitigate health inequities among liver transplant recipients may reduce resource utilization.

2.
J Pediatr ; 265: 113819, 2024 Feb.
Article in English | MEDLINE | ID: mdl-37940084

ABSTRACT

OBJECTIVE: To evaluate associations between neighborhood income and burden of hospitalizations for children with short bowel syndrome (SBS). STUDY DESIGN: We used the Pediatric Health Information System (PHIS) database to evaluate associations between neighborhood income and hospital readmissions, readmissions for central line-associated bloodstream infections (CLABSI), and hospital length of stay (LOS) for patients <18 years with SBS hospitalized between January 1, 2006, and October 1, 2015. We analyzed readmissions with recurrent event analysis and analyzed LOS with linear mixed effects modeling. We used a conceptual model to guide our multivariable analyses, adjusting for race, ethnicity, and insurance status. RESULTS: We included 4289 children with 16 347 hospitalizations from 43 institutions. Fifty-seven percent of the children were male, 21% were Black, 19% were Hispanic, and 67% had public insurance. In univariable analysis, children from low-income neighborhoods had a 38% increased risk for all-cause hospitalizations (rate ratio [RR] 1.38, 95% CI 1.10-1.72, P = .01), an 83% increased risk for CLABSI hospitalizations (RR 1.83, 95% CI 1.37-2.44, P < .001), and increased hospital LOS (ß 0.15, 95% CI 0.01-0.29, P = .04). In multivariable analysis, the association between low-income neighborhoods and elevated risk for CLABSI hospitalizations persisted (RR 1.70, 95% CI 1.23-2.35, P < .01, respectively). CONCLUSIONS: Children with SBS from low-income neighborhoods are at increased risk for hospitalizations due to CLABSI. Examination of specific household- and neighborhood-level factors contributing to this disparity may inform equity-based interventions.


Subject(s)
Short Bowel Syndrome , Child , Humans , Male , Female , Short Bowel Syndrome/epidemiology , Short Bowel Syndrome/therapy , Income , Hospitalization , Length of Stay , Delivery of Health Care
3.
Pediatr Qual Saf ; 5(3): e297, 2020.
Article in English | MEDLINE | ID: mdl-32607457

ABSTRACT

INTRODUCTION: Patients who are unable to fill prescriptions after discharge are at risk of hospital readmission. Ensuring that patients have prescriptions in hand at the time of discharge is a critical component of a safe and effective discharge process. Using a "Meds to Beds" program, we aimed to increase the percentage of patients discharged from Holtz Children's Hospital with medications in hand from 49% to 80%, reduce turnaround time (TAT) from electronic prescription signature to bedside delivery from 4.9 hours (±2.6 hours) to 2 hours, and increase caregiver satisfaction. METHODS: We formed a multidisciplinary team and implemented 4 patient-centered interventions through iterative plan-do-study-act cycles. Statistical process control charts were used to understand the impact of the interventions over 10 months. Hospital length of stay and discharges before 2:00 pm were used as balancing measures. We measured caregiver satisfaction using a telephone survey administered by pediatric residents within 7 days after discharge. RESULTS: The mean percentage of patients discharged with medications in hand increased to 76%. TAT decreased to 3.5 hours (±1.8 hours). Length of stay did not significantly increase, whereas the percentage of patients discharged before 2:00 pm did. Caregivers of patients who had prescriptions delivered to their bedside reported high levels of satisfaction. CONCLUSIONS: Using a "Meds to Beds" program, we increased the percentage of patients discharged with medications in hand, decreased TAT with reduced variability, and achieved high levels of caregiver satisfaction. Importantly, there was a shift in the culture of the institution toward improved medication access for patients.

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