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dc.contributor.authorDoyle, Joseph J.
dc.contributor.authorGraves, John A.
dc.contributor.authorGruber, Jonathan
dc.date.accessioned2020-08-07T20:01:42Z
dc.date.available2020-08-07T20:01:42Z
dc.date.issued2017-07
dc.date.submitted2017-02
dc.identifier.issn0167-6296
dc.identifier.urihttps://hdl.handle.net/1721.1/126522
dc.description.abstractThere is widespread agreement that the US healthcare system wastes as much as 5% of GDP, yet much less agreement on the source of the waste. This paper uses the effectively random assignment of patients to ambulance companies to generate comparisons across similar patients treated at different hospitals. We find that assignment to hospitals whose patients receive large amounts of care over the three months following a health emergency have only modestly better survival outcomes compared to hospitals whose patients receive less. Outcomes are related to different forms of spending. Patients assigned to hospitals with high levels of inpatient spending are more likely to survive to one year, while high levels of outpatient spending result in lower survival. In particular, we discovered that downstream spending at skilled nursing facilities (SNF) is a strong predictor of mortality. Our results highlight SNF admissions as a quality measure to complement the commonly used measure of hospital readmissions and suggest that in the search for waste in the US healthcare, post-acute SNF care is a prime candidate.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.jhealeco.2017.03.005en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcePMCen_US
dc.titleUncovering waste in US healthcareen_US
dc.typeArticleen_US
dc.identifier.citationDoyle Jr., Joseph J. et al. "Uncovering waste in US healthcare: Evidence from ambulance referral patterns." Journal of Health Economics 54 (July 2017): 25-39 © 2017 Elsevier B.V.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Economicsen_US
dc.relation.journalJournal of Health Economicsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2019-09-26T14:42:09Z
dspace.date.submission2019-09-26T14:42:10Z
mit.journal.volume54en_US
mit.metadata.statusComplete


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