Assessing nursing home care quality through Bayesian networks |
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Authors: | Justin Goodson Wooseung Jang |
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Affiliation: | (1) Department of Management Sciences, Henry B. Tippie College of Business, University of Iowa, Iowa City, IA 52242, USA;(2) Department of Industrial and Manufacturing Systems Engineering, University of Missouri—Columbia, Columbia, MO 65211, USA |
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Abstract: | ![]() This article demonstrates how Bayesian networks can be employed as a tool to assess the quality of care in nursing homes. For the data sets analyzed, the proposed model performs comparably to existing quantitative assessment models. In addition, a Bayesian network approach offers several uniques advantages. The structure and parameters of a Bayesian network provide rich insight into the multidimensional aspects of the quality of care. Bayesian networks can be used as a guide in implementing limited resources by identifying information that would be most relevant to an assessment. Finally, Bayesian networks provide a straightforward framework for integrating nursing home care quality research that is conducted in various locations and for various purposes. |
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Keywords: | Nursing home quality Bayesian networks Quality indicators Nurse staffing |
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