Effect of community size on eligibility for early intervention for infants with a neonatal intensive care experience.

Academic Article


  • PURPOSE: To determine if population density (rural vs urban) in a child's home community influenced the decision of eligibility for early intervention (EI) services. METHODS: The sample included 356 infants with a gestational age of <31 weeks referred from a statewide child find program for an evaluation for EI services. A binary logistic regression analysis was completed to determine which variables predicted acceptance into EI services. FINDINGS: Infants less than 31 weeks gestation residing in rural areas were more likely to be eligible for EI services than premature infants (ie, <31 weeks gestation) with similar birth characteristics from urban areas. A binary logistic regression analysis revealed an odds ratio for eligibility for EI services among children living in rural areas compared to those living in urban areas was 3.007 (95% CI, 1.497 to 6.040). Additionally, the odds ratio for eligibility for males as compared to females was 1.908 (95% CI, 1.017 to 3.578). Participants who lived in a rural area and were male were more likely to be eligible for EI services than those who lived in urban locations and were female. CONCLUSIONS: Factors such as community support, experience with high-risk populations, and differences in interpreting eligibility criteria may influence the differences found between the rural and urban populations. Analysis of intervention cost versus effectiveness will be needed to determine whether the system as adopted in the rural versus urban environment is more appropriate for the provision of EI services.
  • Authors

    Published In


  • access to care, early intervention, geography, neonatal intensive care, rural/urban, Disability Evaluation, Female, Health Services Accessibility, Humans, Infant, Newborn, Infant, Newborn, Diseases, Infant, Premature, Intensive Care Units, Neonatal, Male, Nebraska, Population Density, Referral and Consultation, Risk Assessment, Risk Factors, Rural Population, Surveys and Questionnaires, Urban Population
  • Digital Object Identifier (doi)

    Author List

  • Roberts H; Needelman H; Jackson B; McMorris C; Munyon A
  • Start Page

  • 259
  • End Page

  • 264
  • Volume

  • 30
  • Issue

  • 3