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Related Experiment Videos

Could changes in clinical practice reduce waiting lists for radiotherapy?

P Dixon1, W Mackillop

  • 1Radiation Oncology Research Unit, Department of Oncology, Queen's University, Kingston, Ontario, Canada.

Journal of Health Services Research & Policy
|May 19, 2001
PubMed
Summary

Radiation oncologists' prescribing habits significantly impact radiotherapy demand. Standardizing treatment fractions could reduce machine workload and waiting lists, even within current effective practices.

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Area of Science:

  • Radiation Oncology
  • Health Services Research
  • Cancer Treatment

Background:

  • Significant inter-centre variations exist in radiation oncology practices across Ontario.
  • The number of prescribed radiation treatments per case impacts overall radiotherapy demand.

Purpose of the Study:

  • To describe practice variations in radiation oncology among nine Ontario cancer centers.
  • To explore the impact of treatment variations on provincial radiotherapy demand.

Main Methods:

  • Analysis of prospectively collected electronic records for all radiotherapy courses in Ontario (1996-1997).
  • Description of inter-centre variations in radiation treatment fractions per case.
  • Modeling the effect of practice variations on total provincial workload.

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Main Results:

  • Over 670,000 fractions were administered in 44,000 courses.
  • Mean fractions per course varied from 10.9 to 16.0 across centers.
  • Standardizing to fewer treatments could save 77,000 treatments annually, equivalent to 14.6 machines.

Conclusions:

  • Radiation oncologist prescribing patterns are key to managing radiotherapy workload.
  • Modest adjustments in prescribing, within effective ranges, can decrease waiting lists.