New Medicaid Algorithm Improved Tracking of Home Care

Researchers developed a more accurate way to track Medicaid home- and community-based services across the U.S.

Updated on Sept. 29, 2026 in Special Needs

Isometric editorial illustration of a stack of neutral-toned filing folders on a concrete plinth, representing unified healthcare data management. — Researchers at the University of Pennsylvania developed a unified algorithm to accurately track Medicaid home- and community-based service utilization across the U.S. AI Illustration. Upload story photo >

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Do you trust that your state accurately tracks the use of public health services?

Researchers at the University of Pennsylvania have created a new, unified algorithm to better identify Medicaid home- and community-based service (HCBS) usage in national claims data. This development aims to resolve reporting discrepancies that have complicated how states track access to long-term care for adults.

Why it matters

Inconsistent data reporting has previously led to unreliable counts of people receiving critical support services, with some states reporting implausibly high or low figures. A more precise measurement tool could improve resource allocation and help policy makers accurately assess the reach of state care programs.

Published in 2026, the study analyzed a 20% national sample of Medicaid TAF data from 2021 to 2023 for beneficiaries aged 19 or older. It demonstrated significant inconsistencies in state reporting, with some regions showing absolute variation in user counts exceeding 50% over the study period.

The players

University of Pennsylvania

A research institution focused on health services policy and improving data accuracy in medical systems.

Health Services Research

An academic journal that publishes peer-reviewed research on health care systems and policy.

The details

The new method improves on previous classification tools by utilizing standardized waiver identification numbers and modified data elements. Existing systems often failed to account for missing program codes or differing classifications for capitated payments, leading to significant reporting errors in states like Pennsylvania, Illinois, and Mississippi. By unifying these disparate data points, the algorithm provides a more accurate national estimate of HCBS utilization per 100,000 residents.

2021 was the base year for the initial study cohort enrollment.
2021-2023 was the period used to compare HCBS user counts across states.
2026 marked the publication year of the research report in Health Services Research.

Health Landscape

This development addresses long-standing challenges in the Medicaid Statistical Information System where state-level reporting has been fragmented. It represents a shift toward more robust data validation standards needed to manage long-term services for the aging and disabled population.

If you or a family member rely on Medicaid-funded home services, this research highlights the importance of discussing specific service codes and benefit usage with your case manager. Accurate tracking helps ensure that local programs receive the appropriate funding necessary to maintain community-based support.

The takeaway

Reliable data is essential for managing the health programs that many families depend on for daily support. If you notice discrepancies in how your local services are being documented, consider bringing these concerns to your state's Medicaid office or a patient advocate for clarification.