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dc.contributor.authorAzadeh-Fard, Nasibehen_US
dc.contributor.authorGhaffarzadegan, Naviden_US
dc.contributor.authorCamelio, Jaime A.en_US
dc.date.accessioned2018-08-03T19:31:26Z
dc.date.available2018-08-03T19:31:26Z
dc.date.issued2016-09-15en_US
dc.identifier.othere0162976en_US
dc.identifier.urihttp://hdl.handle.net/10919/84489
dc.description.abstractObjective To assess whether a patient’s in-hospital length of stay (LOS) and mortality can be explained by early objective and/or physicians’ subjective-risk assessments. Data Sources/Study Setting Analysis of a detailed dataset of 1,021 patients admitted to a large U.S. hospital between January and September 2014. Study Design We empirically test the explanatory power of objective and subjective early-risk assessments using various linear and logistic regression models. Principal Findings The objective measures of early warning can only weakly explain LOS and mortality. When controlled for various vital signs and demographics, objective signs lose their explanatory power. LOS and death are more associated with physicians’ early subjective risk assessments than the objective measures. Conclusions Explaining LOS and mortality require variables beyond patients’ initial medical risk measures. LOS and in-hospital mortality are more associated with the way in which the human element of healthcare service (e.g., physicians) perceives and reacts to the risks.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.publisherPLOSen_US
dc.rightsCreative Commons Attribution 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.titleCan a Patient's In-Hospital Length of Stay and Mortality Be Explained by Early-Risk Assessments?en_US
dc.typeArticle - Refereeden_US
dc.description.versionPeer Revieweden_US
dc.title.serialPLOS ONEen_US
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0162976en_US
dc.identifier.volume11en_US
dc.identifier.issue9en_US
dc.type.dcmitypeTexten_US
dc.identifier.pmid27632368en_US
dc.identifier.eissn1932-6203en_US


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Creative Commons Attribution 4.0
License: Creative Commons Attribution 4.0