TY - JOUR
T1 - Can targeting high-risk patients reduce readmission rates? Evidence from Israel
AU - Shadmi, Efrat
AU - Zeltzer, Dan
AU - Shir, Tzvi
AU - Flaks-Manov, Natalie
AU - Einav, Liran
AU - Balicer, Ran D.
N1 - Publisher Copyright:
© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Healthcare
KW - hospital readmissions
KW - predictive modeling
UR - http://www.scopus.com/inward/record.url?scp=85096939321&partnerID=8YFLogxK
U2 - 10.1080/15140326.2020.1798194
DO - 10.1080/15140326.2020.1798194
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AN - SCOPUS:85096939321
SN - 1514-0326
VL - 23
SP - 729
EP - 745
JO - Journal of Applied Economics
JF - Journal of Applied Economics
IS - 1
ER -