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.
11/22/2024
Hilltop researchers Leigh Goetschius, PhD, Ruichen Sun, Fei Han, PhD, and Morgan Henderson, PhD, co-authored this article published in Health Services Research.
The emergence of algorithm-based health care models boasted the promise of objectivity since algorithms are theoretically free from the types of biases and errors to which humans are prone. In practice, however, data are not neutral, and these approaches can perpetuate biases and reinforce existing health disparities.
This study evaluates whether a large predictive model of avoidable hospital (AH) events was biased based on patient race or sex. This model assigns monthly risk scores to all Medicare fee-for-service (FFS) beneficiaries attributed to primary care providers that participate in the Maryland Primary Care Program (MDPCP). The researchers found no evidence of meaningful race- or sex-based bias in the model.
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10/31/2024
This annual report, written for the UMBC community, provides an overview of key projects and staff accomplishments for FY 2024.
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08/06/2024
Hilltop researchers Morgan Henderson, PhD, and Morgane Mouslim, DVM, SCM, published this article in the August 2024 issue of The American Journal of Managed Care. The first research of its kind, the piece compares the two different federally mandated sources of public, freely available health services price transparency data (insurer and hospital) for prices for maternity-related services negotiated between Blue Cross & Blue Shield of Mississippi and 26 Mississippi hospitals. Drs. Henderson and Mouslim examined the procedure code overlap for these pricing data sources, and then, for overlapping procedure codes, assessed price congruence. They found low levels of overlap: only 16.3% of hospital-billing code combinations appear in both data sources. However, for the overlapping observations, price concordance is high, with 77.4% of prices matching to the penny. The relatively low degree of overlap between the two pricing data sources indicates significant administrative misalignment between these pricing files; however, the strong concordance of overlapping prices suggests that these data sources are capturing pricing information from the same underlying contracts, as intended. This study is part of the ongoing research conducted by The Hilltop Institute on price transparency.
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