Researchers Developed New Medicaid Services Algorithm
A new unified method aims to standardize how Home- and Community-Based Services are tracked across state Medicaid programs.
Updated on Sept. 29, 2026 in Special Needs
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Researchers at the University of Pennsylvania created an algorithm to improve the tracking of Medicaid Home- and Community-Based Services. The study, published in 2026, addresses discrepancies found in existing classification methods.
Why it matters
Inconsistent data reporting has historically complicated the evaluation of Medicaid support services, with some states showing vast variances in user counts. A unified algorithm provides a more accurate picture of care access for adults across the country.
The study utilized a 20% national sample of Medicaid TAF data to analyze beneficiaries aged 19 or older. Researchers found that some states reported absolute variations in HCBS user counts exceeding 50% between 2021 and 2023.
The players
University of Pennsylvania
This Philadelphia-based private Ivy League research university houses the researchers who conducted the algorithm development.
The details
The team created the new method by using waiver identification numbers and modified data elements to resolve issues like missing program type codes. Existing systems struggled with different classifications for capitated payments, leading to extreme outliers in states like Pennsylvania, Illinois, and Mississippi.
Timeline
2021: Base year for the initial study cohort enrollment.
2021-2023: The period used to compare user counts.
2026: The research report was published.
Culture Shift
The study addresses the struggle for standardized data reporting, which is a departure from historical practices where states independently interpreted program codes. This marks a shift toward greater transparency and consistency in tracking long-term care support nationwide.
Readers may see more accurate public reporting regarding the availability and utilization of home-based care in their respective states. This improved data quality is intended to help policymakers better allocate resources for adults relying on these essential programs.
The takeaway
Reliable data is the foundation for effective health policy and equitable access to community services. Standardizing how states report these figures ensures that vulnerable populations receive the care they are entitled to receive.
Further reading
Learn more about support resources and policy developments on the Special Needs page.
More information
View the original publication findings via the Health Services Research journal link1475-6773).
Source note: This article includes information reported by InsuranceNewsNet.
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