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Objectives: To investigate self‐reported out‐of‐pocket health care expenses, both overall and by cost type, for a large population‐based sample of Australians, by cancer status and socio‐demographic and medical characteristics. Study design: Cross‐sectional study. Setting, participants: New South Wales residents participating in the 45 and Up Study (recruited aged 45 years or older during 2005–2009) who completed the 2020 follow‐up questionnaire; survey responses linked with New South Wales Cancer Registry data. Main outcome measures: Proportions of respondents who reported that out‐of‐pocket health care expenses during the preceding twelve months exceeded $1000 or $10 000; adjusted odds ratios (aORs) for associations with socio‐demographic and medical characteristics. Results: Of the 267 357 recruited 45 and Up Study participants, 45 061 completed the 2020 survey (response rate, 53%); 42.7% (95% confidence interval [CI], 42.2–43.1%) reported that overall out‐of‐pocket health care expenses during the previous year exceeded $1000, including 55.4% (52.1–58.7%) of participants diagnosed in the preceding two years and 44.9% (43.7–46.1%) of participants diagnosed with cancer more than two years ago. After adjustment for socio‐demographic factors, out‐of‐pocket expenses greater than $1000 were more likely to be reported by participants with cancer than by those without cancer (diagnosis in past two years: aOR, 2.06 [95% CI, 1.77–2.40]; diagnosis more than two years ago: aOR, 1.22 [95% CI, 1.15–1.29]). The odds of out‐of‐pocket expenses exceeding $1000 increased with area‐based socio‐economic advantage and household income, and were higher for people with private health insurance (v people with Medicare coverage only: aOR, 1.64; 95% CI, 1.53–1.75). Out‐of‐pocket expenses exceeding $10 000 were also more likely for participants diagnosed with cancer during the past two years (v no cancer: aOR, 3.30; 95% CI, 2.56–4.26). Conclusions: People diagnosed with cancer during the past two years were much more likely than people without cancer to report twelve‐month out‐of‐pocket health care expenses that exceeded $1000. Out‐of‐pocket expenses for people with cancer can exacerbate financial strain at a time of vulnerability, and affect health care equity because some people cannot pay for all available treatments. [ABSTRACT FROM AUTHOR]

Purpose: Lung cancer (LC) in never-smoking individuals would rank as Australia's eighth most deadly cancer, yet risk factors remain uncertain. We investigated demographic, lifestyle and health-related exposures for LC among never-smoking Australians. Methods: Using the prospective 45 and Up Study with 267,153 New South Wales (NSW) residents aged ≥ 45 years at recruitment (2006–2009), we quantified the relationship of 20 potential exposures with LC among cancer-free participants at baseline who self-reported never smoking. Adjusted hazard ratios (HR) and 95% confidence intervals (CI) for incident LC were estimated using Cox regression. The NSW Cancer, Lifestyle and Evaluation of Risk (CLEAR) Study, a case–control study including 10,781 NSW residents aged ≥ 18 years (2006–2014), was used to examine 16 potential LC exposures among cancer-free never-smoking participants. Adjusted odds ratios (OR) and 95% CI of LC were estimated using logistic regression. Results: There were 226 LC cases among 132,354 cancer-free 45 and Up Study participants who reported never smoking, with a median follow-up of 5.41 years. The CLEAR Study had 58 LC cases and 1316 cancer-free controls who had never smoked. Analyses of both datasets showed that Asian-born participants had a higher risk of LC than those born elsewhere: cohort, adjusted HR = 2.83 (95% CI 1.64–4.89) and case–control, adjusted OR = 3.78 (1.19–12.05). No significant association with LC was found for other exposures. Conclusion: Our findings support the growing evidence that never-smoking, Asian-born individuals are at higher risk of developing LC than those born elsewhere. Ethnicity could be considered when assessing potential LC risk among never-smoking individuals. [ABSTRACT FROM AUTHOR]

Previously published sub-site Australian projections for colon and rectal cancers to 2035 using the World Health Organization's mortality database sourced from the Australian Bureau of Statistics (ABS) predicted mortality rate decreases for colon cancer and increases for rectal cancer. There are complexities related to the interpretation of ABS's Australian colon and rectal cancer mortality rates, which could lead to possible inaccuracies in mortality rates for these sub-sites. The largest Australian population-wide registry, New South Wales Cancer Registry (NSWCR), compares routinely-reported causes of death with the recorded medical history from multiple data sources. Therefore, this study used the NSWCR data to project mortality rates for colon and rectal cancers separately to 2040 in Australia. The mortality rates for colon cancer are projected to continuously decline over the period 2015–2040, from 7.0 to 4.7 per 100,000 males, and from 5.3 to 3.2 per 100,000 females. Similar decreasing trends in mortality rates for rectal cancer were projected over the period 2015–2040, from 4.9 to 3.7 per 100,000 males, and from 2.6 to 2.3 per 100,000 females. These projections provide benchmark estimates for the colorectal cancer burden in Australia against which the effectiveness of cancer control interventions can be measured. [ABSTRACT FROM AUTHOR]

Introduction: Colorectal cancer (CRC) care costs the Australian healthcare system more than any other cancer. We estimated costs and days in hospital for CRC cases, stratified by site (colon/rectal cancer) and disease stage, to inform detailed analyses of CRC-related healthcare. Methods: Incident CRC patients were identified using the Australian 45 and Up Study cohort linked with cancer registry records. We analysed linked hospital admission records, emergency department records, and reimbursement records for government-subsidised medical services and prescription medicines. Cases' health system costs (2020 Australian dollars) and hospital days were compared with those for cancer-free controls (matched by age, sex, geography, smoking) to estimate excess resources by phase of care, analysed by sociodemographic, health, and disease characteristics. Results: 1200 colon and 546 rectal cancer cases were diagnosed 2006–2013, and followed up to June 2016. Eighty-nine percent of cases had surgery, chemotherapy or radiotherapy, and excess costs were predominantly for hospitalisations. Initial phase (12 months post-diagnosis) mean excess health system costs were $50,434 for colon and $60,877 for rectal cancer cases, with means of 16 and 18.5 excess hospital days, respectively. The annual continuing mean excess costs were $6,779 (colon) and $8,336 (rectal), with a mean of 2 excess hospital days each. Resources utilised (costs and days) in these phases increased with more advanced disease, comorbidities, and younger age. Mean excess costs in the year before death were $74,952 (colon) and $67,733 (rectal), with means of 34 and 30 excess hospital days, respectively–resources utilised were similar across all characteristics, apart from lower costs for cases aged ≥75 at diagnosis. Conclusions: Health system costs and hospital utilisation for CRC care are greater for people with more advanced disease. These findings provide a benchmark, and will help inform future cost-effectiveness analyses of potential approaches to CRC screening and treatment. [ABSTRACT FROM AUTHOR]

Background Lung cancer in never-smokers (LCINS), if considered as a distinct type, would rank as Australia's eighth most deadly cancer. We investigated several demographic, lifestyle and health-related risk factors for LCINS in Australia. Methods Using the longitudinal 45 and Up Study cohort with 267,153 New South Wales (NSW) residents aged ≥45 years at recruitment (2006-2009), we quantified the relationship of 20 potential risk factors with LCINS. Self-reported never-smoking participants who were cancer-free at baseline were followed for incident lung cancer (LC), and adjusted hazard ratios (HR) and 95% confidence intervals (CI) were estimated using Cox regression. The NSW Cancer, Lifestyle and Evaluation of Risk (CLEAR) Study, a case-control study including 10,781 NSW residents aged ≥18 years, was also used to examine 16 potential risk factors for LCINS. Adjusted odds ratios (OR) and 95% CI for LC were estimated using logistic regression. Results In the 45 and Up Study, there were 226 LC cases among 132,354 cancer-free never-smokers with a median follow-up of 5.41 years. In the CLEAR Study, there were 58 LCINS cases and 1316 cancer-free never-smoking controls. After adjusting for potential confounders, analyses of both datasets showed that Asian-born participants had a higher risk of LCINS than those born elsewhere: cohort HR = 2.83 (95% CI: 1.64-4.89) and case-control OR = 3.78 (95% CI: 1.19-12.05). Conclusions Our findings support the growing evidence that never-smokers born in Asia are at higher risk of developing LC than those born elsewhere. Key messages Region of birth could be considered when assessing potential LC risk among never-smokers. [ABSTRACT FROM AUTHOR]