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A novel methodology to measure waiting times for community-based specialist care in a public healthcare system

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  • Wilf - Miron, Rachel
  • Novikov, Ilya
  • Ziv, Arnona
  • Mandelbaum, Avishai
  • Ritov, Yaacov
  • Luxenburg, Osnat

Abstract

Monitoring waiting time (WT) in healthcare systems is essential, since long WT are associated with adverse health outcomes, reduced patient satisfaction and increased private financing.

Suggested Citation

  • Wilf - Miron, Rachel & Novikov, Ilya & Ziv, Arnona & Mandelbaum, Avishai & Ritov, Yaacov & Luxenburg, Osnat, 2020. "A novel methodology to measure waiting times for community-based specialist care in a public healthcare system," Health Policy, Elsevier, vol. 124(8), pages 805-811.
    • Handle: RePEc:eee:hepoli:v:124:y:2020:i:8:p:805-811
    DOI: 10.1016/j.healthpol.2020.06.006
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    References listed on IDEAS

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    1. Anika Reichert & Rowena Jacobs, 2018. "The impact of waiting time on patient outcomes: Evidence from early intervention in psychosis services in England," Health Economics, John Wiley & Sons, Ltd., vol. 27(11), pages 1772-1787, November.
    2. Siciliani, Luigi & Moran, Valerie & Borowitz, Michael, 2014. "Measuring and comparing health care waiting times in OECD countries," Health Policy, Elsevier, vol. 118(3), pages 292-303.
    3. Moscelli, Giuseppe & Siciliani, Luigi & Gutacker, Nils & Cookson, Richard, 2018. "Socioeconomic inequality of access to healthcare: Does choice explain the gradient?," Journal of Health Economics, Elsevier, vol. 57(C), pages 290-314.
    4. Viberg, Nina & Forsberg, Birger C. & Borowitz, Michael & Molin, Roger, 2013. "International comparisons of waiting times in health care – Limitations and prospects," Health Policy, Elsevier, vol. 112(1), pages 53-61.
    5. Mireia Jofre-Bonet, 2000. "Public health care and private insurance demand: The waiting time as a link," Health Care Management Science, Springer, vol. 3(1), pages 51-71, January.
    Full references (including those not matched with items on IDEAS)

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