Cancer control policy in Australia

Australia has an evolving national cancer control agenda. In this paper, we review the history and development of cancer control policies in Australia up to the end of 2005, and discuss the principal publications produced by both government and non-government groups which have given rise to cancer control recommendations, goals and targets. These cancer control plans have arisen in response to the impact of cancer on the Australian community and in recognition of the health gains that can be made through effective cancer control. They have been developed either in the context of a broader framework of health policy or as specific endeavours in regard to cancer. The specific recommendations and strategies proposed have focused on reducing the impact of cancer in the Australian population. Most commonly, recommendations, goals, and targets within the cancer control plans have addressed points along the continuum of care, specific cancers, and frameworks and processes. The strength of these reports is their comprehensive approach in identifying priority cancers and areas where specific developments should impact on morbidity and mortality. In the future, cancer control plans should be better supported by economic evaluations, and greater financial support for implementation and regular assessment is needed to identify progress on cancer outcomes. The more recent national and State cancer control plans include the development of frameworks to foster a coordinated and cohesive approach to the delivery of cancer care. These plans represent important reforms in cancer care in Australia, and have the potential to reduce the impact of cancer on the community and improve health outcomes

Final State Interactions and CP Violation in KL→π+π−e+e−K_L \to \pi^+ \pi^- e^+ e^-

Using chiral perturbation theory we calculate the imaginary parts of the $K_L \rightarrow \pi^+ \pi^- e^+ e^-$ form factors that arise from $\pi \pi \rightarrow \pi^+ \pi^-$ and $\pi \pi \rightarrow \pi^+ \pi^- \gamma^*$ rescattering. We discuss their influence on CP violating variables in $K_L \rightarrow \pi^+ \pi^- e^+ e^-$.Comment: ; 12 pages, 2 figures, TeX format; uses epsf.tex, tables.tex, and phyzzx.te

Stage at diagnosis and cancer survival for Indigenous Australians in the Northern Territory

Objective: To investigate whether Indigenous Australians with cancer have more advanced disease at diagnosis than other Australians, and whether late diagnosis explains lower Indigenous cancer survival rates. Design: Retrospective cohort study. Setting and participants: Indigenous and non-Indigenous people diagnosed with cancers of the colon and rectum, lung, breast or cervix and non-Hodgkin lymphoma in the Northern Territory of Australia in 1991–2000. Main outcome measures: SEER summary stage of cancer at diagnosis (local, regional or distant spread), cause-specific cancer survival rates and relative risk of cancer death. Results: Diagnosis with advanced disease (regional or distant spread) was more common for Indigenous people (70%; 95% CI, 62%–78%) than for non-Indigenous people (51%; 95% CI, 53%–59%) with cancers of the colon and rectum, breast, cervix and non-Hodgkin lymphoma, but for lung cancer the opposite was found (Indigenous, 56% [95% CI, 46%–65%] v non-Indigenous, 69% [95% CI, 64%–75%]). Stage-adjusted survival rates were lower for Indigenous people for each cancer site. With few exceptions, the relative risk of cancer death was higher for Indigenous people for each category of stage at diagnosis for each cancer site. Conclusions: Health services apparently could, and should, be performing better for Indigenous people with cancer in the Northern Territory, and probably elsewhere in Australia. This study has demonstrated that data from cancer registers, enhanced with data on stage at diagnosis, can be used to monitor health service performance for Indigenous Australians in the Northern Territory; similar data is available in other States, and could be used to monitor health service performance for Indigenous people throughout Australia

Final-state interactions and CP violation in KL→π+π- e+e-

Using chiral perturbation theory we calculate the imaginary parts of the KL→π+π-e+e- form factors that arise from ππ→π+π- and ππ→π+π-γ* rescattering. We discuss their influence on CP-violating variables in KL→π+π-e+e-

Urban Rural Differences in Breast Cancer in New Zealand

Many rural communities have poor access to health services due to a combination of distance from specialist services and a relative shortage of general practitioners. Our aims were to compare the characteristics of urban and rural women with breast cancer in New Zealand, to assess breast cancer-specific and all-cause survival using the Kaplan–Meier method and Cox proportional hazards model, and to assess whether the impact of rurality is different for Māori and New Zealand (NZ) European women. We found that rural women tended to be older and were more likely to be Māori. Overall there were no differences between urban and rural women with regards their survival. Rural Māori tended to be older, more likely to be diagnosed with metastatic disease and less likely to be screen detected than urban Māori. Rural Māori women had inferior breast cancer-specific survival and all-cause survival at 10 years at 72.1% and 55.8% compared to 77.9% and 64.9% for urban Māori. The study shows that rather than being concerned that more needs to be done for rural women in general it is rural Māori women where we need to make extra efforts to ensure early stage at diagnosis and optimum treatment

Obesity and breast cancer outcomes in chemotherapy patients in New Zealand - a population-based cohort study

Background: Obesity has been reported as an adverse prognostic factor in breast cancer, but inconsistently, and under-treatment with chemotherapy may occur. We provide the first assessment of obesity and breast cancer outcomes in a population-based, multi-ethnic cohort of New Zealand patients treated with chemotherapy. Methods: All 3536 women diagnosed with invasive breast cancer in the Waikato region of New Zealand from 2000-2014 were registered and followed until last follow-up in specialist or primary care, death or Dec 2014; median follow-up 4.1 years. For the 1049 patients receiving chemotherapy, mortality from breast cancer, other causes, and all causes, and rates of loco-regional and of distant recurrence, were assessed by body mass index (BMI), recorded after diagnosis, adjusting for other clinico-pathological and demographic factors by Cox regression. Results: BMI was known for 98% (n=1049); 33% were overweight (BMI 25-29.9), 21% were obese (BMI 30-34.9), and 14% were very obese (BMI 35+). There were no significant associations between obesity and survival, after adjustment for demographic and clinical factors (hazard ratios, HR, for very obese compared to BMI 21-24, for breast cancer deaths 0.96 (0.56-1.67), and for all deaths 1.03 (0.63-1.67), respectively, and only small non-significant associations for loco-regional or metastatic recurrence rates (HR 1.17 and 1.33 respectively). Subgroup analyses by age, menopausal status, ethnicity, stage, post-surgical radiotherapy, mode of diagnosis, type of surgery, and receptor status, showed no associations. No associations were seen with BMI as a continuous variable. The results in all patients irrespective of treatment but with recorded BMI data (n=2296) showed similar results. Conclusions: In this population, obesity assessed post-diagnosis had no effect on survival or recurrence, based on 1049 patients with chemotherapy treatment with follow-up up to 14 years

Financing forestry in the Pacific Northwest

Published May 1989. Reprinted January 1993. Facts and recommendations in this publication may no longer be valid. Please look for up-to-date information in the OSU Extension Catalog: http://extension.oregonstate.edu/catalo