Material community deprivation and hospital utilization during the first year of life: an urban population-based cohort study

Ann Epidemiol. 2019 Feb:30:37-43. doi: 10.1016/j.annepidem.2018.11.008. Epub 2018 Nov 29.

Abstract

Purpose: The purpose of the study was to conduct an individual-level analysis of hospital utilization during the first year of life to test the hypothesis that community material deprivation increases health care utilization.

Methods: We used a population-based perinatal data repository based on linkage of electronic health records from regional delivery hospitals to subsequent hospital utilization at the region's only dedicated children's hospital. Zero-inflated Poisson and Cox proportional hazards regression models were used to quantify the causal role of a census tract-based deprivation index on the total number, length, and time until hospital utilization during the first year of life.

Results: After adjusting for any neonatal intensive care unit admission, chronic complex conditions, race and ethnicity, insurance status, birth season, and very low birth weight, we found that a 10% increase in the deprivation index caused a 1.032-fold increase (95% confidence interval (CI), [1.025-1.040]) in post initial hospitalization length of stay, a 1.011-fold increase (95% CI, [1.002-1.021]) in number of post initial hospital encounters, and 1.022-fold increase (95% CI, [1.009-1.035]) in hazard for hospitalization utilization during the first year of life.

Conclusions: Interventions designed to reduce material deprivation and income inequalities could significantly reduce infant hospital utilization.

Keywords: Electronic health records; Hospitalization; Infant; Socioeconomic factors.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Delivery of Health Care
  • Electronic Health Records
  • Female
  • Hospitalization / statistics & numerical data*
  • Hospitals / statistics & numerical data*
  • Humans
  • Infant
  • Insurance, Health
  • Length of Stay / statistics & numerical data*
  • Male
  • Population Surveillance
  • Poverty*
  • Proportional Hazards Models
  • Public Assistance
  • Residence Characteristics*
  • Retrospective Studies
  • Social Environment
  • Socioeconomic Factors*
  • Urban Population