Child Opportunity Index and Emergent PICU Readmissions: A Retrospective, Cross-Sectional Study of 43 U.S. Hospitals.

OBJECTIVES To examine the association between a validated composite measure of neighborhood factors, the Child Opportunity Index (COI), and emergent PICU readmission during the year following discharge for survivors of pediatric critical illness. DESIGN Retrospective cross-sectional study. SETTING Forty-three U.S. children's hospitals contributing to the Pediatric Health Information System administrative dataset. PATIENTS Children (< 18 yr) with at least one emergent PICU admission in 2018-2019 who survived an index admission. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Of 78,839 patients, 26% resided in very low COI neighborhoods, 21% in low COI, 19% in moderate COI, 17% in high COI, and 17% in very high COI neighborhoods, and 12.6% had an emergent PICU readmission within 1 year. After adjusting for patient-level demographic and clinical factors, residence in neighborhoods with moderate, low, and very low COI was associated with increased odds of emergent 1-year PICU readmission relative to patients in very high COI neighborhoods. Lower COI levels were associated with readmission in diabetic ketoacidosis and asthma. We failed to find an association between COI and emergent PICU readmission in patients with an index PICU admission diagnosis of respiratory conditions, sepsis, or trauma. CONCLUSIONS Children living in neighborhoods with lower child opportunity had an increased risk of emergent 1-year readmission to the PICU, particularly children with chronic conditions such as asthma and diabetes. Assessing the neighborhood context to which children return following critical illness may inform community-level initiatives to foster recovery and reduce the risk of adverse outcomes.

[1]  Christina L Cifra,et al.  Breaking point , 2022, Pediatric Research.

[2]  B. Reboussin,et al.  Household food insecurity is associated with diabetic ketoacidosis but not severe hypoglycemia or glycemic control in youth and young adults with youth‐onset type 2 diabetes , 2022, Pediatric diabetes.

[3]  Adrian D. Zurca,et al.  An Antiracism Approach to Conducting, Reporting, and Evaluating Pediatric Critical Care Research , 2022, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.

[4]  L. Nabors,et al.  Evaluation of a Program to Reduce Home Environment Risks for Children with Asthma Residing in Urban Areas , 2021, International journal of environmental research and public health.

[5]  A. Fitzpatrick,et al.  Geospatial Analysis of Social Determinants of Health Identifies Neighborhood Hot Spots Associated with Pediatric Intensive Care Use for Life-threatening Asthma. , 2021, The journal of allergy and clinical immunology. In practice.

[6]  D. Wypij,et al.  Association of Socioeconomic Status With Postdischarge Pediatric Resource Use and Quality of Life , 2021, Critical care medicine.

[7]  J. Kichler,et al.  Socioeconomic and Racial Disparities in Diabetic Ketoacidosis Admissions in Youth With Type 1 Diabetes. , 2021, Journal of hospital medicine.

[8]  M. Hall,et al.  The Child Opportunity Index 2.0 and Hospitalizations for Ambulatory Care Sensitive Conditions , 2021, Pediatrics.

[9]  S. Mahant,et al.  Pediatric Clinical Classification System for Use in Inpatient Settings. , 2021, JAMA pediatrics.

[10]  J. Kane,et al.  Resources and Costs Associated With Repeated Admissions to PICUs , 2021, Critical care explorations.

[11]  N. Yehya,et al.  Hospital outcomes for children with severe sepsis in the USA by race or ethnicity and insurance status: a population-based, retrospective cohort study. , 2020, The Lancet. Child & adolescent health.

[12]  D. Acevedo-Garcia,et al.  Racial And Ethnic Inequities In Children's Neighborhoods: Evidence From The New Child Opportunity Index 2.0. , 2020, Health affairs.

[13]  C. Riley,et al.  Neighborhood Poverty and Pediatric Intensive Care Use , 2019, Pediatrics.

[14]  Kate Rich,et al.  Cooling The Hot Spots Where Child Hospitalization Rates Are High: A Neighborhood Approach To Population Health. , 2019, Health affairs.

[15]  Eun Kyong Shin,et al.  Multimorbidity Network Surveillance: Chronic Disease Clusters and Social Disparities , 2019, Online Journal of Public Health Informatics.

[16]  E. McQuaid,et al.  Neighborhood Risk and Hospital Use for Pediatric Asthma, Rhode Island, 2005–2014 , 2019, Preventing chronic disease.

[17]  Troy Richardson,et al.  Development of Hospitalization Resource Intensity Scores for Kids (H-RISK) and Comparison across Pediatric Populations , 2018, Journal of hospital medicine.

[18]  N. Adler,et al.  Neighborhood Child Opportunity and Individual-Level Pediatric Acute Care Use and Diagnoses , 2018, Pediatrics.

[19]  Bin Huang,et al.  The Child Opportunity Index and Disparities in Pediatric Asthma Hospitalizations Across One Ohio Metropolitan Area, 2011‐2013 , 2017, The Journal of pediatrics.

[20]  A. Serpa Neto,et al.  Readmission to the Intensive Care Unit: Incidence, Risk Factors, Resource Use, and Outcomes. A Retrospective Cohort Study , 2017, Annals of the American Thoracic Society.

[21]  M. Olsen,et al.  Readmission and Late Mortality After Critical Illness in Childhood* , 2017, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.

[22]  Samir S. Shah,et al.  Association of Social Determinants With Children's Hospitals' Preventable Readmissions Performance. , 2016, JAMA pediatrics.

[23]  Renée Boynton-Jarrett,et al.  Neighborhood-Level Interventions to Improve Childhood Opportunity and Lift Children Out of Poverty. , 2016, Academic pediatrics.

[24]  Raj Chetty,et al.  The Effects of Exposure to Better Neighborhoods on Children: New Evidence from the Moving to Opportunity Experiment , 2015, The American economic review.

[25]  A. D. Diez Roux Neighborhoods and Health: What Do We Know? What Should We Do? , 2016, American journal of public health.

[26]  C. Gregory,et al.  Direct and indirect effects of neighborhood factors and self-care on glycemic control in adults with type 2 diabetes. , 2015, Journal of diabetes and its complications.

[27]  Chris Feudtner,et al.  Pediatric complex chronic conditions classification system version 2: updated for ICD-10 and complex medical technology dependence and transplantation , 2014, BMC Pediatrics.

[28]  David C. Kale,et al.  The Effect of Neighborhood and Individual Characteristics on Pediatric Critical Illness , 2014, Journal of Community Health.

[29]  S. Redsell,et al.  Long-term psychosocial impact reported by childhood critical illness survivors: a systematic review , 2013, Nursing in critical care.

[30]  Samir S. Shah,et al.  Socioeconomic Status and In-Hospital Pediatric Mortality , 2013, Pediatrics.

[31]  J. Zimmerman,et al.  Intensive care unit readmissions in U.S. hospitals: Patient characteristics, risk factors, and outcomes* , 2012, Critical care medicine.

[32]  D. Goodman,et al.  Geographic Maldistribution of Primary Care for Children , 2011, Pediatrics.

[33]  Jerry J Zimmerman,et al.  Readmission and Late Mortality After Pediatric Severe Sepsis , 2009, Pediatrics.

[34]  Toshiko Kaneda,et al.  Neighborhood Socioeconomic Disadvantage and Access to Health Care∗ , 2005, Journal of health and social behavior.

[35]  S V Subramanian,et al.  Zip code caveat: bias due to spatiotemporal mismatches between zip codes and US census-defined geographic areas--the Public Health Disparities Geocoding Project. , 2002, American journal of public health.

[36]  David R. Williams,et al.  Racial Residential Segregation: A Fundamental Cause of Racial Disparities in Health , 2001, Public health reports.

[37]  J. Brooks-Gunn,et al.  The neighborhoods they live in: the effects of neighborhood residence on child and adolescent outcomes. , 2000, Psychological bulletin.