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Research

Variability of waiting times for the 4 most prevalent cancer types in Ontario: a retrospective population-based analysis

Amir Rastpour, Mehmet A. Begen, Alexander V. Louie and Gregory S. Zaric
June 07, 2018 6 (2) E227-E234; DOI: https://doi.org/10.9778/cmajo.20170118
Amir Rastpour
Faculty of Business and Information Technology (Rastpour), University of Ontario Institute of Technology, Oshawa, Ont.; Ivey Business School (Begen, Zaric), University of Western Ontario; Department of Radiation Oncology (Louie), London Regional Cancer Program, University of Western Ontario, London, Ont.
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Mehmet A. Begen
Faculty of Business and Information Technology (Rastpour), University of Ontario Institute of Technology, Oshawa, Ont.; Ivey Business School (Begen, Zaric), University of Western Ontario; Department of Radiation Oncology (Louie), London Regional Cancer Program, University of Western Ontario, London, Ont.
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Alexander V. Louie
Faculty of Business and Information Technology (Rastpour), University of Ontario Institute of Technology, Oshawa, Ont.; Ivey Business School (Begen, Zaric), University of Western Ontario; Department of Radiation Oncology (Louie), London Regional Cancer Program, University of Western Ontario, London, Ont.
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Gregory S. Zaric
Faculty of Business and Information Technology (Rastpour), University of Ontario Institute of Technology, Oshawa, Ont.; Ivey Business School (Begen, Zaric), University of Western Ontario; Department of Radiation Oncology (Louie), London Regional Cancer Program, University of Western Ontario, London, Ont.
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Abstract

Background: Longer waiting times in cancer care are associated with lower care quality and wait-related patient dissatisfaction. We analyzed the variability and median of waiting times from when a patient seeks care to first treatment for the 4 most prevalent cancer types in Ontario.

Methods: Using retrospective health administrative data, we identified patients with a new diagnosis of prostate, breast, lung or colorectal cancer in Ontario between 2002 and 2012. Treatment interventions were categorized as chemotherapy, radiotherapy or surgery. We used regression analyses to calculate trends for the coefficient of variation, the Gini coefficient and the median waiting time for each cancer type–treatment type pair over the study period.

Results: During the study period, 95 501 new cases of prostate cancer, 89 244 breast cancer cases, 82 604 lung cancer cases and 80 761 colorectal cancer cases were registered. The coefficient of variation and the Gini coefficient of waiting times decreased for all cancer type–treatment type pairs (except for the Gini coefficient for breast cancer–radiotherapy) over the study period. However, both decreasing and increasing trends in median waiting times were observed across cancer type–treatment type pairs.

Interpretation: The variability of waiting time to first treatment for patients with prostate, breast, lung or colorectal cancer decreased between 2002 and 2012, which indicates improvements in equity in access to cancer care. This trend aligns with provincial efforts to improve access to and the efficiency of cancer care treatment in Ontario. The lack of consistent decreases in median waiting time highlights the need to identify improvement opportunities for cancer type–treatment type pairs with increasing median waiting times.

  • Copyright 2018, Joule Inc. or its licensors
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CMAJ Open: 6 (2)
Vol. 6, Issue 2
1 Apr 2018
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Variability of waiting times for the 4 most prevalent cancer types in Ontario: a retrospective population-based analysis
Amir Rastpour, Mehmet A. Begen, Alexander V. Louie, Gregory S. Zaric
Apr 2018, 6 (2) E227-E234; DOI: 10.9778/cmajo.20170118

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Variability of waiting times for the 4 most prevalent cancer types in Ontario: a retrospective population-based analysis
Amir Rastpour, Mehmet A. Begen, Alexander V. Louie, Gregory S. Zaric
Apr 2018, 6 (2) E227-E234; DOI: 10.9778/cmajo.20170118
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