Minnesota Department of Health

Institutional data commons: a federated Data Use Certification-aware architecture for secure and scalable data use in biomedical data ecosystems

Abstract Background Modern biomedical data ecosystems increasingly rely on global cloud platforms to coordinate access to large-scale genomic and clinical datasets. However, operational governance remains largely investigator-centric, shifting the responsibility for complex secur...

Cognitive Outcomes among Cannabis Users with and without a History of Polysubstance Use

Abstract Despite substantial efforts to understand the impact of cannabis use on cognition, the potential effects remain debated. More research focusing on how cannabis is used, specifically around the quantity used and cannabis co-use with other substances, is needed to better u...

Risk Adjustment in the Medicare Advantage Population Using Encounter Data

OBJECTIVE: To estimate the Centers for Medicare and Medicaid Services (CMS) Hierarchical Condition Category (HCC) risk model using Medicare Advantage (MA) encounter data, as an initial step toward recalibrating risk-adjusted MA payments. DATA SOURCES AND STUDY SETTING: A 20% samp...

A Secret-Shopper Study Evaluating Logistic Barriers to Care Among Young Adults with Acute Lymphoblastic Leukemia

Abstract Adolescents and young adults (AYAs) with acute lymphoblastic leukemia (ALL) experience inferior survival relative to children. As access barriers may increase outcome disparities, we conducted a secret-shopper study to identify logistical burdens when initiating care for...

Estimating the effect of very low nicotine content cigarettes on abstinence by menthol status using novel statistical methods: A reanalysis of a randomized trial in an experimental marketplace with alternative nicotine systems

Abstract Introduction Very low nicotine content (VLNC) cigarettes have been proposed to reduce cigarette consumption. However, previous studies were not adequately powered to analyze the effects of VLNC cigarettes on abstinence, especially within subpopulations (e.g., people who...

A Multistate Investigation of Serious Adverse Events, including Deaths, following Ceftriaxone Injections, September 2024–August 2025

BACKGROUND: Reports of ceftriaxone serious adverse events (SAEs), including deaths, from multiple jurisdictions during December 2024-January 2025 prompted a nationwide investigation to evaluate product safety, characterize SAEs, and assess for changes in baseline adverse event oc...

The Health Education Specialist Practice Analysis III 2025 (HESPA III 2025): Process and Outcomes

The Health Education Specialist Practice Analysis III 2025 was conducted to update and validate the hierarchical model associated with the contemporary framework for the practice of health education specialists across work settings at entry and advanced levels. The purpose of thi...

The Forcing Factors That Predict Obesity: A Cross‐Sectional Multilevel Machine Learning Model of US County‐Level Prevalence

OBJECTIVE: Variables predicting obesity are not limited to individual-level risk factors. The purpose of this study is to assess multilevel predictors of obesity prevalence. METHODS: US county-level datasets incorporating 34 variables were analyzed cross-sectionally using explain...