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Birth characteristics of children who used early intervention and special education services in New York City
- Source :
- J Public Health (Oxf)
- Publication Year :
- 2019
-
Abstract
- Background Early intervention (EI) and special education (SE) are beneficial for children with developmental disabilities and/or delays and their families, yet there are disparities in service use. We sought to identify the birth characteristics that predict EI/SE service use patterns. Methods We conducted a retrospective cohort study using linked administrative data from five sources for all children born in 1998 to New York City resident mothers. Multinomial regression was used to identify birth characteristics that predicted predominant patterns of service use. Results Children with service use patterns characterized by late or limited/no EI use were more likely to be first-born children and have Black or Latina mothers. Children born with a gestational age ≤31 weeks were more likely to enter services early. Early term gestational age was associated with patterns of service use common to children with pervasive developmental delay, and maternal obesity was associated with the initiation of speech therapy at the time of entry into school. Conclusions Maternal racial disparities existed for patterns of EI/SE service use. Specific birth characteristics, such as parity and gestational age, may be useful to better identify children who are at risk for suboptimal EI use.
- Subjects :
- Adult
Male
Developmental Disabilities
Special education
Speech therapy
03 medical and health sciences
Young Adult
0302 clinical medicine
Pregnancy
030225 pediatrics
Early Intervention, Educational
Medicine
Humans
030212 general & internal medicine
Child
Multinomial logistic regression
Retrospective Studies
business.industry
Public Health, Environmental and Occupational Health
Infant, Newborn
Gestational age
Infant
Retrospective cohort study
General Medicine
medicine.disease
Birth characteristics
Obesity
Education, Special
Female
New York City
Original Article
Parity (mathematics)
business
Demography
Subjects
Details
- ISSN :
- 17413850
- Volume :
- 42
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Journal of public health (Oxford, England)
- Accession number :
- edsair.doi.dedup.....908b1afa38b75bee098887e98defbc07