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

Author

Listed:
  • Lee, B.Y.
  • McGlone, S.M.
  • Song, Y.
  • Avery, T.R.
  • Eubank, S.
  • Chang, C.C.
  • Bailey, R.R.
  • Wagener, D.K.
  • Burke, D.S.
  • Platt, R.
  • Huang, S.S.

Abstract

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.

Suggested Citation

  • Lee, B.Y. & McGlone, S.M. & Song, Y. & Avery, T.R. & Eubank, S. & Chang, C.C. & Bailey, R.R. & Wagener, D.K. & Burke, D.S. & Platt, R. & Huang, S.S., 2011. "Social network analysis of patient sharing among hospitals in Orange County, California," American Journal of Public Health, American Public Health Association, vol. 101(4), pages 707-713.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2010.202754_5
    DOI: 10.2105/AJPH.2010.202754
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    1. Tjibbe Donker & Timo Smieszek & Katherine L Henderson & Timothy M Walker & Russell Hope & Alan P Johnson & Neil Woodford & Derrick W Crook & Tim E A Peto & A Sarah Walker & Julie V Robotham, 2019. "Using hospital network-based surveillance for antimicrobial resistance as a more robust alternative to self-reporting," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-11, July.
    2. Dong, Xuefan & Tang, Daisheng & Tang, Chengxiang, 2021. "Social network analysis in China’s hospital healthcare," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    3. Hilal Atasoy & Pei-yu Chen & Kartik Ganju, 2018. "The Spillover Effects of Health IT Investments on Regional Healthcare Costs," Management Science, INFORMS, vol. 64(6), pages 2515-2534, June.
    4. Eva Kesternich & Olaf Rank, 2022. "Beyond patient-sharing: Comparing physician- and patient-induced networks," Health Care Management Science, Springer, vol. 25(3), pages 498-514, September.
    5. Kartik K. Ganju & Hilal Atasoy & Paul A. Pavlou, 2022. "Do Electronic Health Record Systems Increase Medicare Reimbursements? The Moderating Effect of the Recovery Audit Program," Management Science, INFORMS, vol. 68(4), pages 2889-2913, April.
    6. Mascia, Daniele & Di Vincenzo, Fausto & Cicchetti, Americo, 2012. "Dynamic analysis of interhospital collaboration and competition: Empirical evidence from an Italian regional health system," Health Policy, Elsevier, vol. 105(2), pages 273-281.
    7. Mascia, Daniele & Angeli, Federica & Di Vincenzo, Fausto, 2015. "Effect of hospital referral networks on patient readmissions," Social Science & Medicine, Elsevier, vol. 132(C), pages 113-121.
    8. Valentina Evangelista & Fausto Di Vincenzo, 2014. "Dinamiche di collaborazione interospedaliera: un?analisi longitudinale nella regione Abruzzo," MECOSAN, FrancoAngeli Editore, vol. 2014(92), pages 9-26.
    9. Hanjue Xia & Johannes Horn & Monika J Piotrowska & Konrad Sakowski & André Karch & Hannan Tahir & Mirjam Kretzschmar & Rafael Mikolajczyk, 2021. "Effects of incomplete inter-hospital network data on the assessment of transmission dynamics of hospital-acquired infections," PLOS Computational Biology, Public Library of Science, vol. 17(5), pages 1-18, May.
    10. Yeeli Mui & Bruce Y. Lee & Atif Adam & Anna Y. Kharmats & Nadine Budd & Claudia Nau & Joel Gittelsohn, 2015. "Healthy versus Unhealthy Suppliers in Food Desert Neighborhoods: A Network Analysis of Corner Stores’ Food Supplier Networks," IJERPH, MDPI, vol. 12(12), pages 1-17, November.
    11. Daniele Mascia & Francesca Pallotti & Federica Angeli, 2017. "Don’t stand so close to me: competitive pressures, proximity and inter-organizational collaboration," Regional Studies, Taylor & Francis Journals, vol. 51(9), pages 1348-1361, September.
    12. Michaela Kaleta & Jana Lasser & Elma Dervic & Liuhuaying Yang & Johannes Sorger & D. Ruggiero Lo Sardo & Stefan Thurner & Alexandra Kautzky-Willer & Peter Klimek, 2022. "Stress-testing the resilience of the Austrian healthcare system using agent-based simulation," Nature Communications, Nature, vol. 13(1), pages 1-10, December.

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