Early Intervention Colorado (EI-CO) Participant Characteristics, Service Use, and Outcomes, Colorado, 2014-2016

Resource Information

The work Early Intervention Colorado (EI-CO) Participant Characteristics, Service Use, and Outcomes, Colorado, 2014-2016 represents a distinct intellectual or artistic creation found in Bowdoin College Library. This resource is a combination of several types including: Work, Language Material, Books.

Label

Early Intervention Colorado (EI-CO) Participant Characteristics, Service Use, and Outcomes, Colorado, 2014-2016

Creator

• Inter-university Consortium for Political and Social Research [distributor]
• McManus, Beth

Contributor

• Khetani, Mary A.

Author

• McManus, Beth
• Khetani, Mary A.

Contributor

• Inter-university Consortium for Political and Social Research [distributor]

Subject

• disabilities
• early life conditions
• family services
• infants
• intervention
• knowledge level
• outcome evaluation
• Children -- Health and hygiene
• program evaluation
• psychosocial assessment
• service providers
• toddlers
• physical therapy
• admin
• child development
• child health
• developmentally disabled

Genre

• admin

Summary

Part C of the <a href="https://www.copyright.gov/legislation/pl108-446.pdf">Individuals with Disabilities Education Act</a> authorizes states, with the incentive of federal financial support, to create Early Intervention (EI) systems, which is a primary source of rehabilitation (e.g., physical, occupational, and speech therapy) services for infants and toddlers with, or at risk for, developmental delays. Having worked with two EI Colorado (EI-CO) programs that employed electronic documentation, the researchers sought to leverage their electronic administrative data in order to examine social disparities in EI service use, including specific rehabilitation services. The dataset for this data archiving project was generated in collaboration with a large, urban EI program in Colorado, a community partner for an NIH/NCMRR R03 study. This academic-community research partnership provided researchers with access to an urban EI program's electronic administrative database; The researchers' goal was to make these data available for further EI research. Therefore, a database was created and a number of variables were derived that could be of importance to EI stakeholders when conducting clinical queries for quality improvement. Examples of derived variables include EI service use intensity (i.e., hours per month) for all EI services, as well as discipline-specific (e.g., physical or occupational therapy) service use. The researchers obtained permission from the partnering EI agency to archive their EI program data through this project. The dataset included as part of this collection includes 2045 cases for 44 variables; demographic variables include: race, ethnicity, language, sex, age, and developmental condition type