Provider Discretion and Variation in Resource Allocation: The Case of Triage Decisions

<jats:p>One of the most challenging environments in health care is the emergency department (ED) A key decision-maker in that context is triage nurses, who assess patient illness severity and influence wait times for medical attention. We gather novel data on the triage process across 108 EDs,...

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Main Authors: Chan, David C., Gruber, Jonathan
Other Authors: Massachusetts Institute of Technology. Department of Economics
Format: Article
Language:English
Published: American Economic Association 2021
Online Access:https://hdl.handle.net/1721.1/137290.2
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author Chan, David C.
Gruber, Jonathan
author2 Massachusetts Institute of Technology. Department of Economics
author_facet Massachusetts Institute of Technology. Department of Economics
Chan, David C.
Gruber, Jonathan
author_sort Chan, David C.
collection MIT
description <jats:p>One of the most challenging environments in health care is the emergency department (ED) A key decision-maker in that context is triage nurses, who assess patient illness severity and influence wait times for medical attention. We gather novel data on the triage process across 108 EDs, including wait times, triage nurse identities and assessments, and detailed patient information and outcomes. Using quasi-random assignment to ED, we find a striking rate of “inversions,” where patients who are sicker based on either ex ante information or ex post outcomes are scored as sicker and wait longer than their healthier counterparts.</jats:p>
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spelling mit-1721.1/137290.22021-11-17T15:42:19Z Provider Discretion and Variation in Resource Allocation: The Case of Triage Decisions Chan, David C. Gruber, Jonathan Massachusetts Institute of Technology. Department of Economics <jats:p>One of the most challenging environments in health care is the emergency department (ED) A key decision-maker in that context is triage nurses, who assess patient illness severity and influence wait times for medical attention. We gather novel data on the triage process across 108 EDs, including wait times, triage nurse identities and assessments, and detailed patient information and outcomes. Using quasi-random assignment to ED, we find a striking rate of “inversions,” where patients who are sicker based on either ex ante information or ex post outcomes are scored as sicker and wait longer than their healthier counterparts.</jats:p> 2021-11-17T15:42:18Z 2021-11-03T18:20:42Z 2021-11-17T15:42:18Z 2020-05-01 2021-04-02T16:46:49Z Article http://purl.org/eprint/type/JournalArticle 2574-0768 2574-0776 https://hdl.handle.net/1721.1/137290.2 Chan, David C. and Gruber, Jonathan. 2020. "Provider Discretion and Variation in Resource Allocation: The Case of Triage Decisions." American Economic Association Papers and Proceedings, 110. en 10.1257/pandp.20201032 American Economic Association Papers and Proceedings Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/octet-stream American Economic Association American Economic Association
spellingShingle Chan, David C.
Gruber, Jonathan
Provider Discretion and Variation in Resource Allocation: The Case of Triage Decisions
title Provider Discretion and Variation in Resource Allocation: The Case of Triage Decisions
title_full Provider Discretion and Variation in Resource Allocation: The Case of Triage Decisions
title_fullStr Provider Discretion and Variation in Resource Allocation: The Case of Triage Decisions
title_full_unstemmed Provider Discretion and Variation in Resource Allocation: The Case of Triage Decisions
title_short Provider Discretion and Variation in Resource Allocation: The Case of Triage Decisions
title_sort provider discretion and variation in resource allocation the case of triage decisions
url https://hdl.handle.net/1721.1/137290.2
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