Abstract
We study a large intervention intended to reduce hospital readmission rates in Israel. Since 2012, readmission risk was calculated for patients aged 65 and older, and high-risk patients were flagged to providers upon admission and after discharge. Analyzing 171,541 admissions during 2009–2016, we find that the intervention reduced 30-day readmission rates by 5.9% among patients aged 65–70 relative to patients aged 60–64, who were not targeted by the intervention and for whom no risk-scores were calculated. The largest reduction, 12.3%, was among high-risk patients, though some of it may reflect substitution of attention away from patients with unknown high-risk at the point of care. Post-discharge follow-up encounters were significantly expedited. Estimated effects declined after incentives to reduce readmission rates were discontinued. The evidence demonstrates that informing providers about patient risk in real-time coupled with incentives to reduce readmissions can improve care continuity and reduce hospital readmissions.
Original language | English |
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Pages (from-to) | 729-745 |
Number of pages | 17 |
Journal | Journal of Applied Economics |
Volume | 23 |
Issue number | 1 |
DOIs | |
State | Published - 2020 |
Bibliographical note
Publisher Copyright:© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Keywords
- Healthcare
- hospital readmissions
- predictive modeling
ASJC Scopus subject areas
- General Economics, Econometrics and Finance