Susannah Jacob
University of New South Wales
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Featured researches published by Susannah Jacob.
Cancer | 2005
Geoff Delaney; Susannah Jacob; Carolyn Featherstone; Michael Barton
Radiotherapy utilization rates for cancer vary widely internationally. It has previously been suggested that approximately 50% of all cancer patients should receive radiation. However, this estimate was not evidence-based. The aim of this study was to estimate the ideal proportion of new cases of cancer that should receive radiotherapy at least once during the course of their illness based on the best available evidence. An optimal radiotherapy utilization tree was constructed for each cancer based upon indications for radiotherapy taken from evidence-based treatment guidelines. The proportion of patients with clinical attributes that indicated a possible benefit from radiotherapy was obtained by adding epidemiologic data to the radiotherapy utilization tree. The optimal proportion of patients with cancer that should receive radiotherapy was then calculated using TreeAge (TreeAge Software, Williamstown, MA) software. Sensitivity analyses using univariate analysis and Monte Carlo simulations were performed. The proportion of patients with cancer in whom external beam radiotherapy is indicated according to the best available evidence was calculated to be 52%. Monte Carlo analysis indicated that the 95% confidence limits were from 51.7% to 53.1%. The tightness of the confidence interval suggests that the overall estimate is robust. Comparison with actual radiotherapy utilization data suggests a shortfall in actual radiotherapy delivery. This methodology allows comparison of optimal rates with actual rates to identify areas where improvements in the evidence-based use of radiotherapy can be made. It provides valuable data for radiotherapy service planning. Actual rates need to be addressed to ensure better radiotherapy utilization. Cancer 2005.
Radiotherapy and Oncology | 2014
Michael Barton; Susannah Jacob; Jesmin Shafiq; Karen Wong; Stephen R. Thompson; T.P. Hanna; Geoff Delaney
BACKGROUND AND PURPOSE In 2003 we estimated that 52.3% of new cases of cancer in Australia had an indication for external beam radiotherapy at least once at some time during the course of their illness. This update reviews the contemporary evidence to define the optimal proportion of new cancers that would benefit from radiotherapy as part of their treatment and estimates the changes to the optimal radiotherapy utilisation rate from 2003 to 2012. MATERIALS AND METHODS National and international guidelines were reviewed for external beam radiotherapy indications in the management of cancers. Epidemiological data on the proportion of new cases of cancer with each indication for radiotherapy were identified. Indications and epidemiological data were merged to develop an optimal radiotherapy utilisation tree. Univariate and Monte Carlo simulations were used in sensitivity analysis. RESULTS The overall optimal radiotherapy utilisation rate (external beam radiotherapy) for all registered cancers in Australia changed from 52.3% in 2003 to 48.3% in 2012. Overall 8.9% of all cancer patients in Australia have at least one indication for concurrent chemo-radiotherapy during the course of their illness. CONCLUSIONS The reduction in the radiotherapy utilisation rate was due to changes in epidemiological data, changes to radiotherapy indications and refinements of the model structure.
Cancer | 2003
Geoff Delaney; Michael Barton; Susannah Jacob
Radiotherapy utilization rates for breast carcinoma vary widely, both within and between countries. Current estimates of the proportion of patients with carcinoma who optimally should receive radiotherapy are based either on expert opinion or on the measurement of actual utilization rates, and not on the best scientific evidence.
Cancer | 2004
Geoff Delaney; Susannah Jacob; Michael Barton
Radiotherapy usage rates exhibit wide variations both within and between countries. Current estimates of the proportion of cancer patients who should optimally receive radiotherapy are based either on expert opinion or on the measurement of actual usage rates rather than on the best available scientific evidence.
Cancer | 2004
Geoff Delaney; Michael Barton; Susannah Jacob
Radiotherapy is not used commonly in the treatment of patients with malignant melanoma. The benchmark optimal radiotherapy utilization rates for melanoma are largely unknown, despite the fact that melanoma is a very common cancer.
Cancer | 2005
Geoff Delaney; Susannah Jacob; Michael Barton
Radiotherapy is used commonly in the treatment of patients with head and neck carcinoma. The benchmark radiotherapy utilization rates for head and neck carcinoma largely are unknown. The objective of the current study was to determine the optimal radiotherapy utilization rate for patients with head and neck carcinoma and to compare this optimal rate with actual utilization rates where actual utilization data were available.
Cancer | 2005
Carolyn Featherstone; Geoff Delaney; Susannah Jacob; Michael Barton
The objective of this study was to estimate the ideal proportion of new patients with leukemia and myeloma who should receive radiotherapy at some time during the course of their illness based on the best evidence.
Cancer | 2005
Geoff Delaney; Susannah Jacob; Michael Barton
Benchmark radiotherapy utilization rates for genitourinary malignancies are largely unknown, despite the finding that genitourinary cancers comprise approximately 19% of all registered malignancies in Australia.
Cancer | 2004
Geoff Delaney; Michael Barton; Susannah Jacob
Radiotherapy utilization rates for cancer vary widely, both within and between countries. The optimal proportion of patients with gastrointestinal malignancies who should receive at least one course of radiotherapy at some time during their illness is an important benchmark.BACKGROUND Radiotherapy utilization rates for cancer vary widely, both within and between countries. The optimal proportion of patients with gastrointestinal malignancies who should receive at least one course of radiotherapy at some time during their illness is an important benchmark. METHODS The authors studied treatment guidelines and treatment reviews to identify the indications for radiotherapy for patients with gastrointestinal malignancies. Optimal radiotherapy utilization trees were constructed to show the clinical attributes of patients with gastrointestinal carcinomas who will benefit from radiotherapy. Epidemiologic incidence data for each of these clinical attributes were obtained to calculate the optimal proportion of all patients with gastrointestinal malignancies for whom radiotherapy was considered appropriate. Optimal rates of radiotherapy use were compared with actual rates in population-based studies to assess any discrepancies between actual and optimal radiotherapy utilization rates. RESULTS Radiotherapy was indicated in 80% of patients with esophageal carcinoma, 68% of patients with gastric carcinoma, 57% of patients with pancreatic carcinoma, 13% of patients with carcinoma of the gallbladder, 0% of patients with hepatic carcinoma, 14% of patients with colon carcinoma, and 61% of patients with rectal carcinoma. The actual radiotherapy utilization rates for most of these gastrointestinal malignancies fell well short of optimal rates, which were derived from evidence-based treatment guidelines. CONCLUSIONS It is possible to model optimal radiotherapy utilization using published treatment guidelines and existing incidence data. There was a discrepancy between the optimal and actual rates of radiotherapy utilization for patients with carcinomas of the esophagus, stomach, pancreas, and rectum. Strategies to implement evidence-based clinical guidelines are recommended. Cancer 2004.
Cancer | 2004
Geoff Delaney; Susannah Jacob; Michael Barton
Radiotherapy utilization rates for cancer vary widely, both within and between countries. Current estimates of the proportion of cancer patients who should optimally receive radiotherapy are based either on expert opinion or on the measurement of actual utilization rates, rather than on the best scientific evidence.