Below is a listing of select Hilltop publications and presentations. You can search by type, topic, date, and/or title. The search function searches for key words in both the title and the publication summary. Click on the publication’s title below to go to its summary.

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Risk Score Specifications and Codebook for The Hilltop Institute’s Pre- Models, Version 1

In 2014, the state of Maryland partnered with the Centers for Medicare and Medicaid Services (CMS) to modernize its unique all-payer rate-setting system for hospital services to improve the overall health of Maryland residents by increasing health care quality and reducing the cost of care. In service of providing better care at lower costs, The Hilltop Institute at UMBC, in partnership with the Maryland Department of Health, has developed predictive risk stratification models to identify patients at high risk for potentially preventable health care utilization that can be used to help target care resources to the patients who need them most.

This document strives to explain the intended use, technical implementation, and model performance of the Hilltop Pre- Models as of November 2022. The Pre- Models are a suite of prediction tools spanning the Pre-AH Model™, Pre-CH Model™, Pre-DC Model™, and Pre-HE Model™. This document will be updated as the models are updated or when new models become operational, and significant changes will be noted in the documentation edit history table and in the text when necessary. This first section of the codebook provides a short introduction; the second section provides a general overview of data sources, training methodology, and scoring methodology; the third section provides specific details on the performance and operations of each model within the Hilltop Pre- Models suite; and the fourth section presents limitations.

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Association of Polysubstance Use Disorder with Treatment Quality among Medicaid Beneficiaries with Opioid Use Disorder

Using Medicaid data (2017 to 2018) from four states participating in a distributed research network, this retrospective cohort study documents the prevalence of specific types of co-occurring substance use disorder (SUD) among Medicaid enrollees with an opioid use disorder (OUD) diagnosis.

Senior Policy Analyst Shamis Mohamoud and Policy Analyst Rosa Perez were part of the Medicaid Outcomes Distributed Research Network (MODRN) team of authors of this article published in the Journal of Substance Abuse Treatment.

Read the article online.


Outpatient Follow-Up and Use of Medications for Opioid Use Disorder after Residential Treatment among Medicaid Enrollees in 10 States

Follow-up after residential treatment is considered best practice in supporting patients with opioid use disorder (OUD) in their recovery. Yet, little is known about rates of follow-up after discharge. The objective of this analysis was to measure rates of follow-up and use of medications for OUD (MOUD) after residential treatment among Medicaid enrollees in 10 states, and to understand the enrollee and episode characteristics that are associated with both outcomes.

Senior Policy Analyst Shamis Mohamoud was part of the Medicaid Outcomes Distributed Research Network (MODRN) team of authors of this article published in Drug and Alcohol Dependence.

Read the article online.