IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i5p1475-d212623.html
   My bibliography  Save this article

The Impact of Hospital Specialization on Congestion and Efficiency

Author

Listed:
  • Sung-hun Park

    (Department of Business Administration, Hanyang University, Seoul 04763, Korea)

  • Joong Hoon Ko

    (Department of Business Administration, Hanyang University, Seoul 04763, Korea)

  • Eun-song Bae

    (Department of Business Administration, Hanyang University, Seoul 04763, Korea)

  • Meehyang Chang

    (Department of Hospitality and Tourism Management, Sejong University, Seoul 05006, Korea)

  • Daecheol Kim

    (Department of Business Administration, Hanyang University, Seoul 04763, Korea)

Abstract

The purpose of this study is to verify the existence of congestion in Korean hospitals, to identify the causes of congestion, and to suggest directions for efficiency improvement of hospitals. The result showed that congestion occurred in 71.90% of 1185 hospitals. In addition, it was found that hospital specialization has a negative effect on congestion. In other words, the higher the hospital specialization, the lower the overall congestion rate of the hospital. More specifically, the specialization of hospitals also showed a negative effect on congestion of nurses. On the other hand, hospital specialization was found to have a positive effect on the congestion of the number of doctors, but it does not have a significant effect on the congestion of hospital beds. It was also found that hospital size has an effect on the relationship between hospital specialization and congestion, but the location of the hospital and the type of ownership did not act as a moderator.

Suggested Citation

  • Sung-hun Park & Joong Hoon Ko & Eun-song Bae & Meehyang Chang & Daecheol Kim, 2019. "The Impact of Hospital Specialization on Congestion and Efficiency," Sustainability, MDPI, vol. 11(5), pages 1-14, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1475-:d:212623
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/5/1475/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/5/1475/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cooper, William W. & Seiford, Lawrence M. & Zhu, Joe, 2000. "A unified additive model approach for evaluating inefficiency and congestion with associated measures in DEA," Socio-Economic Planning Sciences, Elsevier, vol. 34(1), pages 1-25, March.
    2. Cooper, Zack & Gibbons, Stephen & Skellern, Matthew, 2018. "Does competition from private surgical centres improve public hospitals' performance? Evidence from the English National Health Service," Journal of Public Economics, Elsevier, vol. 166(C), pages 63-80.
    3. Nicholas Bloom & Carol Propper & Stephan Seiler & John Van Reenen, 2015. "The Impact of Competition on Management Quality: Evidence from Public Hospitals," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(2), pages 457-489.
    4. Pedro Simões & Rui Marques, 2011. "Performance and congestion analysis of the portuguese hospital services," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(1), pages 39-63, March.
    5. Lee, Kwangsoo & Lee, Sangil, 2007. "Effects of the DRG-based prospective payment system operated by the voluntarily participating providers on the cesarean section rates in Korea," Health Policy, Elsevier, vol. 81(2-3), pages 300-308, May.
    6. Robert G. Evans & Hugh D. Walker, 1972. "Information Theory and the Analysis of Hospital Cost Structure," Canadian Journal of Economics, Canadian Economics Association, vol. 5(3), pages 398-418, August.
    7. A. T. Flegg & D. O. Allen, 2007. "Does Expansion Cause Congestion? The Case of the Older British Universities, 1994-2004," Education Economics, Taylor & Francis Journals, vol. 15(1), pages 75-102.
    8. Lee, Kwang-soo & Chun, Ki-hong & Lee, Jung-soo, 2008. "Reforming the hospital service structure to improve efficiency: Urban hospital specialization," Health Policy, Elsevier, vol. 87(1), pages 41-49, July.
    9. Grosskopf, S. & Valdmanis, V., 1987. "Measuring hospital performance : A non-parametric approach," Journal of Health Economics, Elsevier, vol. 6(2), pages 89-107, June.
    10. Rajiv D. Banker & Richard C. Morey, 1986. "The Use of Categorical Variables in Data Envelopment Analysis," Management Science, INFORMS, vol. 32(12), pages 1613-1627, December.
    11. Cooper, W. W. & Gu, Bisheng & Li, Shanling, 2001. "Note: Alternative treatments of congestion in DEA - a response to the Cherchye, Kuosmanen and Post critique," European Journal of Operational Research, Elsevier, vol. 132(1), pages 81-87, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Flegg, A.T. & Allen, D.O., 2009. "Congestion in the Chinese automobile and textile industries revisited," Socio-Economic Planning Sciences, Elsevier, vol. 43(3), pages 177-191, September.
    2. Christoph Strumann & Alexander Geissler & Reinhard Busse & Christoph Pross, 2022. "Can competition improve hospital quality of care? A difference-in-differences approach to evaluate the effect of increasing quality transparency on hospital quality," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(7), pages 1229-1242, September.
    3. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    4. Kao, Chiang, 2010. "Congestion measurement and elimination under the framework of data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 123(2), pages 257-265, February.
    5. Mehdiloozad, Mahmood & Zhu, Joe & Sahoo, Biresh K., 2018. "Identification of congestion in data envelopment analysis under the occurrence of multiple projections: A reliable method capable of dealing with negative data," European Journal of Operational Research, Elsevier, vol. 265(2), pages 644-654.
    6. Carine Milcent, 2021. "Competition in French hospital: Does it impact the patient management in healthcare?," Working Papers halshs-03152752, HAL.
    7. Brekke, Kurt R. & Canta, Chiara & Siciliani, Luigi & Straume, Odd Rune, 2021. "Hospital competition in a national health service: Evidence from a patient choice reform," Journal of Health Economics, Elsevier, vol. 79(C).
    8. Gobillon, Laurent & Milcent, Carine, 2017. "Competition and Hospital Quality: Evidence from a French Natural Experiment," IZA Discussion Papers 10476, Institute of Labor Economics (IZA).
    9. Glover, Fred & Sueyoshi, Toshiyuki, 2009. "Contributions of Professor William W. Cooper in Operations Research and Management Science," European Journal of Operational Research, Elsevier, vol. 197(1), pages 1-16, August.
    10. Pereira, Miguel Alves & Figueira, José Rui & Marques, Rui Cunha, 2020. "Using a Choquet integral-based approach for incorporating decision-maker’s preference judgments in a Data Envelopment Analysis model," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1016-1030.
    11. A.T. Flegg & D.O. Allen, 2007. "Congestion in the Chinese automobile and textile industries revisited," Working Papers 0702, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    12. Tony Flegg & David O. Allen, 2006. "Are the New British Universities Congested?," Working Papers 0610, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    13. Giuseppe Moscelli & Hugh Gravelle & Luigi Siciliani, 2016. "Market structure, patient choice and hospital quality for elective patients," Working Papers 139cherp, Centre for Health Economics, University of York.
    14. Ivonne Lindlbauer & Jonas Schreyögg, 2014. "The relationship between hospital specialization and hospital efficiency: do different measures of specialization lead to different results?," Health Care Management Science, Springer, vol. 17(4), pages 365-378, December.
    15. Jun Wang & Yong Zha, 2014. "Distinguishing Technical Inefficiency from Desirable and Undesirable Congestion with an Application to Regional Industries in China," Sustainability, MDPI, vol. 6(12), pages 1-19, December.
    16. Giuseppe Moscelli & Hugh Gravelle & Luigi Siciliani, 2018. "Effects of Market Structure and Patient Choice on Hospital Quality for Planned Patients," School of Economics Discussion Papers 1118, School of Economics, University of Surrey.
    17. Moscelli, Giuseppe & Gravelle, Hugh & Siciliani, Luigi & Santos, Rita, 2018. "Heterogeneous effects of patient choice and hospital competition on mortality," Social Science & Medicine, Elsevier, vol. 216(C), pages 50-58.
    18. Diogo Ferreira & Rui Marques, 2015. "Did the corporatization of Portuguese hospitals significantly change their productivity?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(3), pages 289-303, April.
    19. Zhang, Yue-Jun & Liu, Jing-Yue & Su, Bin, 2020. "Carbon congestion effects in China's industry: Evidence from provincial and sectoral levels," Energy Economics, Elsevier, vol. 86(C).
    20. Shimaa Elkomy & Zahra Murad & Veronica Veleanu, 2018. "Does Leadership Matter for Healthcare Service Quality? Evidence from NHS England," Working Papers in Economics & Finance 2018-08, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1475-:d:212623. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.