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Social network analysis of patient sharing among hospitals in Orange County, California

We applied social network analyses to determine how hospitals within Orange County, California, are interconnected by patient sharing, a system which may have numerous public health implications. Our analyses considered 2 general patient-sharing networks: uninterrupted patient sharing (UPS; i.e., di... Full description

Journal Title: American journal of public health April 2011, Vol.101(4), pp.707-13
Main Author: Lee, Bruce Y
Other Authors: Mcglone, Sarah M , Song, Yeohan , Avery, Taliser R , Eubank, Stephen , Chang, Chung-Chou , Bailey, Rachel R , Wagener, Diane K , Burke, Donald S , Platt, Richard , Huang, Susan S
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 1541-0048 ; PMID: 21330578 Version:1 ; DOI: 10.2105/AJPH.2010.202754
Link: http://pubmed.gov/21330578
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recordid: medline21330578
title: Social network analysis of patient sharing among hospitals in Orange County, California
format: Article
creator:
  • Lee, Bruce Y
  • Mcglone, Sarah M
  • Song, Yeohan
  • Avery, Taliser R
  • Eubank, Stephen
  • Chang, Chung-Chou
  • Bailey, Rachel R
  • Wagener, Diane K
  • Burke, Donald S
  • Platt, Richard
  • Huang, Susan S
subjects:
  • Interinstitutional Relations
  • Hospitals, County -- Statistics & Numerical Data
  • Patient Transfer -- Statistics & Numerical Data
ispartof: American journal of public health, April 2011, Vol.101(4), pp.707-13
description: We applied social network analyses to determine how hospitals within Orange County, California, are interconnected by patient sharing, a system which may have numerous public health implications. Our analyses considered 2 general patient-sharing networks: uninterrupted patient sharing (UPS; i.e., direct interhospital transfers) and total patient sharing (TPS; i.e., all interhospital patient sharing, including patients with intervening nonhospital stays). We considered these networks at 3 thresholds of patient sharing: at least 1, at least 10, and at least 100 patients shared. Geographically proximate hospitals were somewhat more likely to share patients, but many hospitals shared patients with distant hospitals. Number of patient admissions and percentage of cancer patients were associated with greater connectivity across the system. The TPS network revealed numerous connections not seen in the UPS network, meaning that direct transfers only accounted for a fraction of total patient sharing. Our analysis demonstrated that Orange County's 32 hospitals were highly and heterogeneously interconnected by patient sharing. Different hospital populations had different levels of influence over the patient-sharing network.
language: eng
source:
identifier: E-ISSN: 1541-0048 ; PMID: 21330578 Version:1 ; DOI: 10.2105/AJPH.2010.202754
fulltext: fulltext
issn:
  • 15410048
  • 1541-0048
url: Link


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titleSocial network analysis of patient sharing among hospitals in Orange County, California
creatorLee, Bruce Y ; Mcglone, Sarah M ; Song, Yeohan ; Avery, Taliser R ; Eubank, Stephen ; Chang, Chung-Chou ; Bailey, Rachel R ; Wagener, Diane K ; Burke, Donald S ; Platt, Richard ; Huang, Susan S
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subjectInterinstitutional Relations ; Hospitals, County -- Statistics & Numerical Data ; Patient Transfer -- Statistics & Numerical Data
descriptionWe applied social network analyses to determine how hospitals within Orange County, California, are interconnected by patient sharing, a system which may have numerous public health implications. Our analyses considered 2 general patient-sharing networks: uninterrupted patient sharing (UPS; i.e., direct interhospital transfers) and total patient sharing (TPS; i.e., all interhospital patient sharing, including patients with intervening nonhospital stays). We considered these networks at 3 thresholds of patient sharing: at least 1, at least 10, and at least 100 patients shared. Geographically proximate hospitals were somewhat more likely to share patients, but many hospitals shared patients with distant hospitals. Number of patient admissions and percentage of cancer patients were associated with greater connectivity across the system. The TPS network revealed numerous connections not seen in the UPS network, meaning that direct transfers only accounted for a fraction of total patient sharing. Our analysis demonstrated that Orange County's 32 hospitals were highly and heterogeneously interconnected by patient sharing. Different hospital populations had different levels of influence over the patient-sharing network.
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abstractWe applied social network analyses to determine how hospitals within Orange County, California, are interconnected by patient sharing, a system which may have numerous public health implications.
doi10.2105/AJPH.2010.202754
pmid21330578
date2011-04