Studies from University of Maryland Have Provided New Data on Managed Care (Predicting severe diabetes complications using administrative claims data in Maryland): Managed Care

2026 APR 08 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Investigators discuss new findings in Managed Care. According to news reporting originating from Baltimore, Maryland, by NewsRx correspondents, research stated, “To describe operations and performance of a large-scale predictive model of severe type 2 diabetes complications (DC) for Medicare beneficiaries in Maryland. Retrospective longitudinal multivariable regression.”

Our news editors obtained a quote from the research from the University of Maryland, “Using Medicare fee-for-service (FFS) claims from March 2021 to July 2024, we created an analytic data set of 219 candidate risk factors spanning 12,611,063 person-months. Multivariable discrete-time survival modeling was used to assess the relation between risk factors and the risk of incurring a future hospitalization due to severe DC. Using stepwise variable selection to retain only statistically significant risk factors, DC risk scores were created by applying training coefficients to risk factors from the most recently available month of data. Risk scores for 346,614 individuals were released on June 7, 2024. Predictive performance of scores was assessed using actual events in the month following the release of the scores, compared with the performance of Hierarchical Condition Category (HCC) scores. As of April 2024, the model retained 95 significant risk factors. The mean risk score was 0.0124, and utilization- and condition-based risk factors primarily accounted for the top 15 risk factors. The June 2024 risk scores were strongly predictive of true events: Individuals with the top 10% of DC risk scores accounted for 56.9% of severe DC events in the following month. This significantly outperformed HCC scores, which accounted for 37.5% of true events in the same period.”

According to the news editors, the research concluded: “A risk prediction model based on administrative claims can predict severe DC events for the Medicare FFS population in Maryland.”

This research has been peer-reviewed.

For more information on this research see: Predicting severe diabetes complications using administrative claims data in Maryland. The American Journal of Managed Care, 2026;32(3). The American Journal of Managed Care can be contacted at: Managed Care & Healthcare Communications Llc, 666 Plainsboro Rd, Ste 300, Plainsboro, NJ 08536, USA.

The news editors report that additional information may be obtained by contacting Leigh Goetschius, Hilltop Institute, University of Maryland, Baltimore County, 1000 Hilltop Circle, Sondheim Hall, Third Floor, Baltimore, MD 21250. Additional authors for this research include Danielle Barefoot, Fei Han, Ruichen Sun and Morgan A. Henderson.

Publisher contact information for the The American Journal of Managed Care is: Managed Care & Healthcare Communications Llc, 666 Plainsboro Rd, Ste 300, Plainsboro, NJ 08536, USA.

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