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Stability over time of the “hospital effect” on 30-day unplanned readmissions: Evidence from administrative data

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  • Roshanghalb, Afsaneh
  • Mazzali, Cristina
  • Lettieri, Emanuele
  • Paganoni, Anna Maria
  • Bottle, Alex

Abstract

Past studies showed that hospital characteristics affect hospital performance in terms of 30-day unplanned readmissions, proving the existence of a “hospital effect”. However, the stability over time of this effect has been under-investigated. This study offers new evidence about the stability over time of the hospital effect on 30-day unplanned readmissions.

Suggested Citation

  • Roshanghalb, Afsaneh & Mazzali, Cristina & Lettieri, Emanuele & Paganoni, Anna Maria & Bottle, Alex, 2021. "Stability over time of the “hospital effect” on 30-day unplanned readmissions: Evidence from administrative data," Health Policy, Elsevier, vol. 125(10), pages 1393-1397.
    • Handle: RePEc:eee:hepoli:v:125:y:2021:i:10:p:1393-1397
    DOI: 10.1016/j.healthpol.2021.07.009
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    1. Paolo Paruolo & Michaela Saisana & Andrea Saltelli, 2013. "Ratings and rankings: voodoo or science?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 609-634, June.
    2. Cynthia Williams & Yara Asi & Amanda Raffenaud & Matt Bagwell & Ibrahim Zeini, 2016. "The effect of information technology on hospital performance," Health Care Management Science, Springer, vol. 19(4), pages 338-346, December.
    3. Min-Hua Jen & Alex Bottle & Graham Kirkwood & Ron Johnston & Paul Aylin, 2011. "The performance of automated case-mix adjustment regression model building methods in a health outcome prediction setting," Health Care Management Science, Springer, vol. 14(3), pages 267-278, September.
    4. Kostas Kounetas & Fotis Papathanassopoulos, 2013. "How efficient are Greek hospitals? A case study using a double bootstrap DEA approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(6), pages 979-994, December.
    5. Khushalani, Jaya & Ozcan, Yasar A., 2017. "Are hospitals producing quality care efficiently? An analysis using Dynamic Network Data Envelopment Analysis (DEA)," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 15-23.
    6. Kiivet, Raul & Sund, Reijo & Linna, Miika & Silverman, Barbara & Pisarev, Heti & Friedman, Nurit, 2013. "Methodological challenges in international performance measurement using patient-level administrative data," Health Policy, Elsevier, vol. 112(1), pages 110-121.
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