Can a Patient's In-Hospital Length of Stay and Mortality Be Explained by Early-Risk Assessments?

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dc.contributor.authorAzadeh-Fard, Nasibehen
dc.contributor.authorGhaffarzadegan, Naviden
dc.contributor.authorCamelio, Jaime A.en
dc.contributor.departmentIndustrial and Systems Engineeringen
dc.date.accessioned2018-08-03T19:31:26Zen
dc.date.available2018-08-03T19:31:26Zen
dc.date.issued2016-09-15en
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.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0162976en
dc.identifier.eissn1932-6203en
dc.identifier.issue9en
dc.identifier.othere0162976en
dc.identifier.pmid27632368en
dc.identifier.urihttp://hdl.handle.net/10919/84489en
dc.identifier.volume11en
dc.language.isoenen
dc.publisherPLOSen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleCan a Patient's In-Hospital Length of Stay and Mortality Be Explained by Early-Risk Assessments?en
dc.title.serialPLOS ONEen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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