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| LEADER |
01468nam a2200157Ia 4500 |
| 001 |
10.1162-rest_a_00804 |
| 008 |
220511s2019 CNT 000 0 und d |
| 020 |
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|a 00346535 (ISSN)
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| 245 |
1 |
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|a Evaluating measures of hospital quality: Evidence from ambulance referral patterns
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| 260 |
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|b MIT Press Journals
|c 2019
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| 856 |
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|z View Fulltext in Publisher
|u https://doi.org/10.1162/rest_a_00804
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| 520 |
3 |
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|a Hospital quality measures are crucial to a key idea behind health care payment reforms: “paying for quality” instead of quantity. Nevertheless, such measures face major criticisms largely over the potential failure of risk adjustment to overcome endogeneity concerns when ranking hospitals. In this paper, we test whether patients treated at hospitals that score higher on commonly used quality measures have better health outcomes in terms of rehospitalization and mortality. To compare similar patients across hospitals in the same market, we exploit ambulance company preferences as an instrument for hospital choice. We find that a variety of measures that insurers use to measure provider quality are successful: choosing a high-quality hospital compared to a low-quality hospital results in 10% to 15% better outcomes. © 2018 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.
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| 700 |
1 |
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|a Doyle, J.
|e author
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| 700 |
1 |
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|a Graves, J.
|e author
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| 700 |
1 |
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|a Gruber, J.
|e author
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| 773 |
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|t Review of Economics and Statistics
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