title: Assessing nursing home care quality through Bayesian networks.
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 unique 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.
authors.affiliation: Department of Management Sciences, Henry B. Tippie College of Business, University of Iowa, Iowa City, IA 52242, USA.
authors.forename: Justin
authors.initials: J
authors.lastname: Goodson
authors.forename: Wooseung
authors.initials: W
authors.lastname: Jang
mesh_terms: D001499:Bayes Theorem; D006701:Home Nursing; D006801:Humans; D015233:Models, Statistical; D011785:Quality Assurance, Health Care