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Measuring quality in diabetes care: an expert-based statistical approach
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing AG
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3683141/ https://www.ncbi.nlm.nih.gov/pubmed/23795340 http://dx.doi.org/10.1186/2193-1801-2-226 |
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author | Bertsimas, Dimitris Czerwinski, David Kane, Michael |
author_facet | Bertsimas, Dimitris Czerwinski, David Kane, Michael |
author_sort | Bertsimas, Dimitris |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3683141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Springer International Publishing AG |
record_format | MEDLINE/PubMed |
spelling | pubmed-36831412013-06-19 Measuring quality in diabetes care: an expert-based statistical approach Bertsimas, Dimitris Czerwinski, David Kane, Michael Springerplus Research 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. Springer International Publishing AG 2013-05-16 /pmc/articles/PMC3683141/ /pubmed/23795340 http://dx.doi.org/10.1186/2193-1801-2-226 Text en © Bertsimas et al.; licensee Springer. 2013 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Bertsimas, Dimitris Czerwinski, David Kane, Michael Measuring quality in diabetes care: an expert-based statistical approach |
title | Measuring quality in diabetes care: an expert-based statistical approach |
title_full | Measuring quality in diabetes care: an expert-based statistical approach |
title_fullStr | Measuring quality in diabetes care: an expert-based statistical approach |
title_full_unstemmed | Measuring quality in diabetes care: an expert-based statistical approach |
title_short | Measuring quality in diabetes care: an expert-based statistical approach |
title_sort | measuring quality in diabetes care: an expert-based statistical approach |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3683141/ https://www.ncbi.nlm.nih.gov/pubmed/23795340 http://dx.doi.org/10.1186/2193-1801-2-226 |
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