Medicaid & I/DD: 5 Facts for Coverage & Support

Understanding Our Data & Methods: A Deep Dive into Medicaid and Intellectual/Developmental Disabilities (I/DD)

We strive for openness in our research. This page details the methodologies used to analyze ‍Medicaid claims data and understand the experiences of individuals with⁤ Intellectual and Developmental Disabilities (I/DD). We wont⁢ you to have confidence in the insights we present.

Identifying Individuals with I/DD

Accurately identifying individuals with I/DD within large ⁣datasets like Medicaid claims requires a standardized approach. Here’s how ‍we do it:

* ⁣ Diagnosis Codes: We utilized a complete list of ICD-9 ⁣and ICD-10 diagnosis codes developed by the Assistant ⁢Secretary for Planning and Evaluation (ASPE).
*⁣ Categorization: These codes are grouped into six key categories:
* Intellectual Disabilities
* Developmental Delays/Disabilities
* Learning Disabilities
⁤ * Autism Spectrum Disorders
* Cerebral Palsy
‍ * Spina ⁤bifida
* ASPE Methodology: You can explore ⁢the full ASPE methodology in their detailed report. A complete list ⁤of the specific diagnosis ⁣codes used in our analysis is available upon request.

who is Included in Our Analysis?

to ensure⁣ accuracy, ⁣we’ve established specific criteria ‍for including enrollees ⁤in our calculations:

* Age Exclusion: We exclude individuals aged 65 and older.
* Medicare Exclusion: We also exclude those with at least one month of Medicare coverage. ⁢
* Rationale: These ⁣exclusions are crucial. Older⁢ adults and those with medicare may not have sufficient claims data in the ‍T-MSIS system to reliably identify chronic conditions like I/DD.

Defining Long-Term Care Usage

Understanding long-term care ⁣needs is vital.Here’s how we categorized Medicaid long-term care utilization (as depicted in Figure⁢ 3 of our reports):

* Type of Service: We used the “type-of-service”‍ code from the initial claim line, applying it to ‍the header claim within a merged dataset.
* Included Services: We included anyone with at least⁤ one month of ‍Medicaid enrollment utilizing:
*⁢ Institutional Care (nursing facilities, intermediate care facilities)
* Home Care (home health, personal care, 1915(c) waivers, 1115 waivers, and other⁤ home care services)
* Combined Categories: individuals‍ using both institutional and home care were categorized under “institutional care” to avoid double-counting.
* Further ⁣Information: for a more detailed explanation, please refer to KFF’s brief on Medicaid long-term services and supports.

Identifying Chronic Conditions

Beyond I/DD, we also⁣ analyzed the prevalence of other chronic conditions.Here’s our approach (as shown in Figure 5):

* CCW Algorithm: We leveraged the 2020-updated CCW algorithm to identify chronic conditions.
* Mental Illness & Substance Use Disorder: We supplemented the CCW algorithm with ⁤data from seperate sources for mental illness and substance use disorder. You can find more information here:
* Medicaid Coverage for Adults with Mental Illness (KFF)

* Substance Use Disorder Treatment in Medicaid (KFF)

* Additional Conditions: We also included obesity, HIV, and hepatitis C in our definition of chronic conditions:
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