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Risk factors of children who exited from an early intervention program without an identified disability and returned

Peggy P Giannoni1, Philip H Kass

  • 1Department of Population Health and Reproduction, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA.

Research in Developmental Disabilities
|March 23, 2010
PubMed

Insights

Identifying children at risk of delayed developmental disability diagnosis is crucial. This study examined factors influencing diagnosis delays in California Early Start (ES) Program participants, highlighting characteristics outside the norm.

Area of Science:

  • Developmental Pediatrics
  • Public Health
  • Child Development

Background:

  • Early identification of developmental disabilities is critical for timely intervention and improved outcomes.
  • The California Early Start (ES) Program serves children with developmental delays and disabilities.
  • Understanding factors contributing to delayed diagnosis is essential for optimizing early intervention services.

Purpose of the Study:

  • To identify risk factors associated with delayed diagnosis of developmental disability in children.
  • To compare characteristics of children with and without service interruptions in the ES Program.
  • To explore the influence of child, maternal, family, and county-level factors on diagnostic delays.

Main Methods:

  • Retrospective cohort study design.
  • Analysis of 2,439 children participating in the California Early Start Program in 1998.
  • Examination of child's condition, maternal demographics, family risk factors, and county risk scores.

Main Results:

  • Children with delayed diagnoses exhibited characteristics outside the typical identification parameters.
  • Factors influencing delayed diagnosis may relate to age-specific manifestation or diagnostic challenges.
  • Service interruptions in the ES Program were compared to continuous service provision.

Conclusions:

  • Certain characteristics are associated with a higher risk of delayed developmental disability diagnosis.
  • Further research is needed to differentiate between age-related presentation and inherent diagnostic difficulty.
  • Optimizing early detection strategies requires understanding diverse risk factors.

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