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dc.contributor.advisorPeter Szolovits.en_US
dc.contributor.authorBoag, William (William George)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2018-09-17T15:55:52Z
dc.date.available2018-09-17T15:55:52Z
dc.date.copyright2018en_US
dc.date.issued2018en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/118063
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 75-80).en_US
dc.description.abstractThere are established racial disparities in healthcare, particularly during end-of-life care when poor communication and historical inequities can lead to suboptimal options and outcomes for patients and their families. Previous work has suggested that medical disparities can reflect higher rates of mistrust for the healthcare system among black patients. When the doctor-patient relationship lacks trust, patients may believe that limiting any intensive treatment is unjustly motivated, and demand higher levels of aggressive care. While there are clinical examples of exemplary end-of-life care, studies have highlighted that aggressive care can lead to painful final moments, and may not improve patient outcomes. In this thesis, I demonstrate that racial disparities which have been reported previously are also present in two public databases. I explore the notion that one underlying cause of this disparity is due to mistrust between patient and caregivers, and develop a multiple trust metric proxies to measure such mistrust more directly. These metric demonstrate even stronger disparities in end-of-life care than race does and statistically significant higher levels of mistrust for black populations. I hope that this work will serve as a useful view for bias and fairness in clinical data, and that future work can better understand mistrust so that its underlying factors (e.g. poor communication and perceived discrimination) can be addressed.en_US
dc.description.statementofresponsibilityby William Boag.en_US
dc.format.extent80 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleQuantifying racial disparities in end-of-life careen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc1051460511en_US


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