Literature DB >> 28012795

Determining the need and utilization of radiotherapy in cancers of the breast, cervix, lung, prostate and rectum: A population level study.

Lorraine Shack1, Shuang Lu2, Lee-Anne Weeks2, Peter Craighead3, Marc Kerba4.   

Abstract

PURPOSE: Determining the appropriate rate of radiotherapy (RT) utilization is important for health care planning and resource allocation. The difference between the observed and the appropriate RT rate is influenced by the choice of a criterion based benchmarking (CBB) or evidence-based estimates (EBEST) measure. Our primary objective was to determine the utilization of radiotherapy for cancers of the breast (B), cervix (C), lung (L), prostate (P) and rectum (R) in Alberta (AB) Canada and to compare the observed RT rates to estimates of need derived from the criterion based benchmarking (CBB) and evidence-based estimates (EBEST).
MATERIALS AND METHODS: All incident cases of B,C,L,P and R cancers diagnosed in AB during 2004-8 (prior to the decentralization of provincial RT capacity) were identified from the Alberta Cancer Registry. Patients receiving RT within one year (RT-1y) of diagnosis were identified and the proportion receiving RT-1y was then calculated. Factors associated with RT utilization were analysed by region. Estimates of the need for RT were derived from CBB and EBEST methods in the literature.
RESULTS: A total of n=68,164 cancer cases were identified from the ACR. RT-1y rates (95% C.I.) were B: 51.5% (50.1-52.9), C: 48.9% (43.8-54.0), L: 37.1% (35.4-38.8), P: 26.9% (25.1-28.7) and R: 39.3% (36.5-42.1). Observed rates of RT in AB were lower than estimates derived using the CBB and EBEST estimates. Shortfalls varied across cancer sites according to whether a CBB or EBEST estimate was used ranging from a low of -0.3% in cancer of the cervix to a high of 30.3% in rectal cancer.
CONCLUSIONS: RT shortfalls exist in the utilization of RT in AB, Canada despite centralized cancer care and a publically funded health care system. Decisions to address shortfalls need to be mindful of how model selection can impact on findings.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cancer; Cancer epidemiology; Oncology; Radiotherapy; Radiotherapy benchmarking; Radiotherapy shortfalls; Utilization

Mesh:

Year:  2016        PMID: 28012795     DOI: 10.1016/j.radonc.2016.12.006

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  3 in total

1.  A population-based study examining the influence of a specialized rapid-access cancer clinic on initial treatment choice in localized prostate cancer.

Authors:  Larissa J Vos; Clement K Ho; Bryan J Donnelly; J Dean Reuther; Marc Kerba
Journal:  Can Urol Assoc J       Date:  2018-03-19       Impact factor: 1.862

2.  Spatial barriers impact upon appropriate delivery of radiotherapy in breast cancer patients.

Authors:  Fabrizio Stracci; Fortunato Bianconi; Chiara Lupi; Manuela Margaritelli; Alessio Gili; Cynthia Aristei
Journal:  Cancer Med       Date:  2018-01-22       Impact factor: 4.452

3.  Strategic planning in an academic radiation medicine program.

Authors:  J L Hamilton; S Foxcroft; E Moyo; J Cooke-Lauder; T Spence; P Zahedi; A Bezjak; D Jaffray; C Lam; D Létourneau; M Milosevic; R Tsang; R Wong; F F Liu
Journal:  Curr Oncol       Date:  2017-12-20       Impact factor: 3.677

  3 in total

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