scholarly journals Assessment of Early Intervention Services to Better Child Outcomes among Part C Infants and Toddlers

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Brendan Ibe ◽  
Tiffany Fowles ◽  
Seema Csukas ◽  
Jackie Conner ◽  
Grace Kelley ◽  
...  
Keyword(s):  
Early Intervention ◽  
Child Outcomes ◽  
Infants And Toddlers ◽  
Early Intervention Services ◽  
Part C ◽  
Intervention Services

Bottom Line: Who Pays the Bill for Early Intervention Services?

ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 26-27
Author(s):  
Janet McCarty ◽  
Laurie Havens
Keyword(s):  
Early Intervention ◽  
Private Insurance ◽  
Infants And Toddlers ◽  
Bottom Line ◽  
Early Intervention Services ◽  
Intervention Services

Medicaid, federal education funds and private insurance all cover the costs of speech-language and hearing services for infants and toddlers. Learn who pays for what.

scholarly journals Measuring Costs and Outcomes of Tele-Intervention When Serving Families of Children who are Deaf/Hard-of-Hearing

2013 ◽  
Vol 5 (2) ◽  
pp. 3-10 ◽  
Author(s):  
Kristina M. Blaiser ◽  
Diane Behl ◽  
Catherine Callow-Heusser ◽  
Karl R. White
Keyword(s):  
Early Intervention ◽  
Hard Of Hearing ◽  
Home Visit ◽  
Rating Scales ◽  
Child Outcomes ◽  
Cost Effective ◽  
High Quality ◽  
Early Intervention Services ◽  
Effective Manner ◽  
Intervention Services

Background: Optimal outcomes for children who are deaf/hard-of-hearing (DHH) depend on access to high quality, specialized early intervention services. Tele-intervention – the delivery of early intervention services via telehealth technology - has the potential to meet this need in a cost-effective manner. Method: Twenty-seven families of infants and toddlers with varying degrees of hearing loss participated in a randomized study, receiving their services primarily through TI or via traditional in-person home visits. Pre- and post-test measures of child outcomes, family and provider statisfaction, and costs were collected. Results: The TI group scored statistically significantly higher on the expressive language measure than the in-person group (p =.03). A measure of home visit quality revealed that the TI group scored statistically significantly better on the Parent Engagement subscale of the Home Visit Rating Scales-Adapted & Extended (HOVRS-A+; Roggman, et al., 2012). Cost savings associate with providing services via TI increased as the intensity of service delivery increased. Although most providers and families were positive about TI, there was great variability in their perceptions. Conclusions: Tele-intervention is a promising cost-effective method for delivering high quality early intervention services to families of children who are DHH.

The Relationship Between State Lead Agency and Enrollment Into Early Intervention Services

2017 ◽  
Vol 39 (3) ◽  
pp. 253-263
Author(s):  
Erica Twardzik ◽  
Megan MacDonald ◽  
Alicia Dixon-Ibarra
Keyword(s):  
Early Intervention ◽  
Negative Binomial ◽  
Negative Binomial Regression Model ◽  
Eligibility Criteria ◽  
Lead Agency ◽  
Early Intervention Services ◽  
Part C ◽  
Part C Services ◽  
Enrollment Rates ◽  
Intervention Services

Services offered through Part C of the Individuals With Disabilities Education Improvement Act improve cognitive, behavioral, and physical skills for children less than 3 years old at risk for or with a disability. However, there are low enrollment rates into services. Various Lead Agencies oversee services through Part C, and states determine which agency is in charge of administering these services. The objective of this study was to describe odds of enrollment into early intervention services based on the department administering services (Lead Agency). Each state’s Lead Agency (Education, Health, or Other), state population size, narrowness of eligibility criteria, and state-level screening rates were fit into a negative binomial regression model to predict odds of enrollment into Part C services. Results show that state’s reporting from “Health” and “Other” as a Lead Agency had significantly higher odds for Part C services compared with the state Lead Agency of Education (Health adjusted odds ratio [AOR] = 1.56, 95% confidence interval [CI] = [1.557, 1.561]; Other AOR = 2.40, 95% CI = [2.401, 2.405]). Further research should describe unique components of a Lead Agency’s administrative practices that contribute to the variation in enrollment. This study was an important step toward the investigation of low enrollment rates into Part C services.

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