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Emergency Admissions And Elective Surgery Waiting Times

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  • Meliyanni Johar
  • Glenn Stewart Jones
  • Elizabeth Savage

Abstract

An average patient waits between 2 and 3 months for an elective procedure in Australian public hospitals. Approximately 60% of all admissions occur through an emergency department, and bed competition from emergency admission provides one path by which waiting times for elective procedures may be lengthened. In this article, we investigated the extent to which public hospital waiting times are affected by the volume of emergency admissions and whether there is a differential impact by elective patient payment status. The latter has equity implications if the potential health cost associated with delayed treatment falls on public patients with lower ability to pay. Using annual data from public hospitals in the state of New South Wales, we found that, for a given available bed capacity, a one standard deviation increase in a hospital's emergency admissions lengthens waiting times by 19 days on average. However, paying (private) patients experience no delay overall. In fact, for some procedures, higher levels of emergency admissions are associated with lower private patient waiting times. Copyright © 2012 John Wiley & Sons, Ltd.

Suggested Citation

  • Meliyanni Johar & Glenn Stewart Jones & Elizabeth Savage, 2013. "Emergency Admissions And Elective Surgery Waiting Times," Health Economics, John Wiley & Sons, Ltd., vol. 22(6), pages 749-756, June.
  • Handle: RePEc:wly:hlthec:v:22:y:2013:i:6:p:749-756
    DOI: 10.1002/hec.2849
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    References listed on IDEAS

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    1. Olena Stavrunova & Oleg Yerokhin, 2011. "An Equilibrium Model of Waiting Times for Elective Surgery in NSW Public Hospitals," The Economic Record, The Economic Society of Australia, vol. 87(278), pages 384-398, September.
    2. Peter VanBerkel & John Blake, 2007. "A comprehensive simulation for wait time reduction and capacity planning applied in general surgery," Health Care Management Science, Springer, vol. 10(4), pages 373-385, December.
    3. Meliyanni Johar & Glenn Jones & Michael Keane & Elizabeth Savage & Olena Stavrunova, 2011. "Waiting times for elective surgery and the decision to buy private health insurance," Health Economics, John Wiley & Sons, Ltd., vol. 20(S1), pages 68-86, September.
    4. Sofia Dimakou & David Parkin & Nancy Devlin & John Appleby, 2009. "Identifying the impact of government targets on waiting times in the NHS," Health Care Management Science, Springer, vol. 12(1), pages 1-10, March.
    5. Meliyanni Johar & Elizabeth Savage, 2010. "Do Private Patients have Shorter Waiting Times for Elective Surgery? Evidence from New South Wales Public Hospitals," Economic Papers, The Economic Society of Australia, vol. 29(2), pages 128-142, June.
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    Cited by:

    1. Nicolai Fink Simonsen & Anne Sophie Oxholm & Søren Rud Kristensen & Luigi Siciliani, 2020. "What explains differences in waiting times for health care across socioeconomic status?," Health Economics, John Wiley & Sons, Ltd., vol. 29(12), pages 1764-1785, December.
    2. Moura, Ana, 2021. "Essays in health economics," Other publications TiSEM c93abd22-fa4a-42a5-b172-d, Tilburg University, School of Economics and Management.
    3. Moura, Ana, 2022. "Do subsidized nursing homes and home care teams reduce hospital bed-blocking? Evidence from Portugal," Journal of Health Economics, Elsevier, vol. 84(C).
    4. McQuestin, Dana & Noguchi, Masayoshi, 2020. "Worth the wait: The impact of government funding on hospital emergency waiting times," Health Policy, Elsevier, vol. 124(12), pages 1340-1344.
    5. Annika Maren Schneider & Eva-Maria Oppel & Jonas Schreyögg, 2020. "Investigating the link between medical urgency and hospital efficiency – Insights from the German hospital market," Health Care Management Science, Springer, vol. 23(4), pages 649-660, December.
    6. Krämer, Jonas & Schreyögg, Jonas, 2019. "Substituting emergency services: primary care vs. hospital care," Health Policy, Elsevier, vol. 123(11), pages 1053-1060.
    7. Ricardo Ocaña-Riola & Carmen Pérez-Romero & Mª Isabel Ortega-Díaz & José Jesús Martín-Martín, 2021. "Multilevel Zero-One Inflated Beta Regression Model for the Analysis of the Relationship between Exogenous Health Variables and Technical Efficiency in the Spanish National Health System Hospitals," IJERPH, MDPI, vol. 18(19), pages 1-18, September.
    8. Bhalotra, Sonia & Nunes, Letícia & Rocha, Rudi, 2023. "Emergency Care Centers, Hospital Performance and Population Health," CAGE Online Working Paper Series 659, Competitive Advantage in the Global Economy (CAGE).
    9. Jonas Krämer & Jonas Schreyögg & Reinhard Busse, 2019. "Classification of hospital admissions into emergency and elective care: a machine learning approach," Health Care Management Science, Springer, vol. 22(1), pages 85-105, March.

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