Uncovering waste in US healthcare

There 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 hospi...

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Main Authors: Doyle, Joseph J., Graves, John A., Gruber, Jonathan
Other Authors: Massachusetts Institute of Technology. Department of Economics
Format: Article
Language:English
Published: Elsevier BV 2020
Online Access:https://hdl.handle.net/1721.1/126522
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author Doyle, Joseph J.
Graves, John A.
Gruber, Jonathan
author2 Massachusetts Institute of Technology. Department of Economics
author_facet Massachusetts Institute of Technology. Department of Economics
Doyle, Joseph J.
Graves, John A.
Gruber, Jonathan
author_sort Doyle, Joseph J.
collection MIT
description There 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.
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spelling mit-1721.1/1265222022-10-01T23:50:15Z Uncovering waste in US healthcare Doyle, Joseph J. Graves, John A. Gruber, Jonathan Massachusetts Institute of Technology. Department of Economics There 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. 2020-08-07T20:01:42Z 2020-08-07T20:01:42Z 2017-07 2017-02 2019-09-26T14:42:09Z Article http://purl.org/eprint/type/JournalArticle 0167-6296 https://hdl.handle.net/1721.1/126522 Doyle 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 http://dx.doi.org/10.1016/j.jhealeco.2017.03.005 Journal of Health Economics Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV PMC
spellingShingle Doyle, Joseph J.
Graves, John A.
Gruber, Jonathan
Uncovering waste in US healthcare
title Uncovering waste in US healthcare
title_full Uncovering waste in US healthcare
title_fullStr Uncovering waste in US healthcare
title_full_unstemmed Uncovering waste in US healthcare
title_short Uncovering waste in US healthcare
title_sort uncovering waste in us healthcare
url https://hdl.handle.net/1721.1/126522
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