Measuring quality in diabetes care: an expert-based statistical approach
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2193-1801-2-226.pdf
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285 KB
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Adobe PDF
Checksum (MD5)
1e3979c51b7d0f10b4958e705541c7bd
Author(s)
Bertsimas, Dimitris J.
Czerwinski, David
Kane, Michael A.
Date Issued
February 2013
Journal
SpringerPlus
Publisher
Springer
Citation
Bertsimas, Dimitris, David Czerwinski, and Michael Kane. 2013. Measuring Quality in Diabetes Care: An Expert-based Statistical Approach. SpringerPlus 2(1): 226.
Version
Author's final manuscript
Abstract
We present a methodology for using health insurance claims data to monitor quality of care. The method uses a statistical model trained on the quality ratings of a medical expert. In a pilot study, the expert rated the quality of care received over the course of two years by 101 diabetes patients. A logistic regression model accurately identified the quality of care for 86% of the patients. Because the model uses data derived from patients’ health insurance claims it can be used to monitor the care being received by a large patient population. One important use of the model is to identify potential candidates for case management, especially patients with complicated medical histories.
MIT Department
MIT Medical
Sloan School of Management
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DOI of Published Version
https://doi.org/10.1186/2193-1801-2-226
