Effect of hospital referral networks on patient readmissions

Daniele Mascia*, Federica Angeli, Fausto Di Vincenzo

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Previous studies have shown that referral networks encompass important mechanisms of coordination and integration among hospitals, which enhance numerous organizational-level benefits, such as productivity, efficiency, and quality of care. The present study advances previous research by demonstrating how hospital referral networks influence patient readmissions. Data include 360,697 hospitalization events within a regional community of hospitals in the Italian National Health Service. Multilevel hierarchical regression analysis tests the impacts of referral networks' structural characteristics on patient hospital readmissions. The results demonstrate that organizational centrality in the overall referral network and ego-network density have opposing effects on the likelihood of readmission events within hospitals; greater centrality is negatively associated with readmissions, whereas greater ego-network density increases the likelihood of readmission events. Our findings support the (re)organization of healthcare systems and provide important indications for policymakers and practitioners. (c) 2015 Elsevier Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)113-121
Number of pages9
JournalSocial Science & Medicine
Volume132
DOIs
Publication statusPublished - May 2015
Externally publishedYes

Keywords

  • Interorganizational collaboration
  • Patient readmission
  • Hierarchical linear modeling
  • Social network analysis
  • QUALITY-OF-CARE
  • HEALTH NETWORKS
  • INTERHOSPITAL COLLABORATION
  • SYSTEMS
  • COMPETITION
  • TRANSFERS
  • COOPERATION
  • PERFORMANCE
  • VALIDATION
  • CALIFORNIA

Cite this

Mascia, Daniele ; Angeli, Federica ; Di Vincenzo, Fausto. / Effect of hospital referral networks on patient readmissions. In: Social Science & Medicine. 2015 ; Vol. 132. pp. 113-121.
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abstract = "Previous studies have shown that referral networks encompass important mechanisms of coordination and integration among hospitals, which enhance numerous organizational-level benefits, such as productivity, efficiency, and quality of care. The present study advances previous research by demonstrating how hospital referral networks influence patient readmissions. Data include 360,697 hospitalization events within a regional community of hospitals in the Italian National Health Service. Multilevel hierarchical regression analysis tests the impacts of referral networks' structural characteristics on patient hospital readmissions. The results demonstrate that organizational centrality in the overall referral network and ego-network density have opposing effects on the likelihood of readmission events within hospitals; greater centrality is negatively associated with readmissions, whereas greater ego-network density increases the likelihood of readmission events. Our findings support the (re)organization of healthcare systems and provide important indications for policymakers and practitioners. (c) 2015 Elsevier Ltd. All rights reserved.",
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author = "Daniele Mascia and Federica Angeli and {Di Vincenzo}, Fausto",
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Effect of hospital referral networks on patient readmissions. / Mascia, Daniele; Angeli, Federica; Di Vincenzo, Fausto.

In: Social Science & Medicine, Vol. 132, 05.2015, p. 113-121.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Effect of hospital referral networks on patient readmissions

AU - Mascia, Daniele

AU - Angeli, Federica

AU - Di Vincenzo, Fausto

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AB - Previous studies have shown that referral networks encompass important mechanisms of coordination and integration among hospitals, which enhance numerous organizational-level benefits, such as productivity, efficiency, and quality of care. The present study advances previous research by demonstrating how hospital referral networks influence patient readmissions. Data include 360,697 hospitalization events within a regional community of hospitals in the Italian National Health Service. Multilevel hierarchical regression analysis tests the impacts of referral networks' structural characteristics on patient hospital readmissions. The results demonstrate that organizational centrality in the overall referral network and ego-network density have opposing effects on the likelihood of readmission events within hospitals; greater centrality is negatively associated with readmissions, whereas greater ego-network density increases the likelihood of readmission events. Our findings support the (re)organization of healthcare systems and provide important indications for policymakers and practitioners. (c) 2015 Elsevier Ltd. All rights reserved.

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