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Objective: Living in regional/rural areas can impact outcomes for people with head and neck cancer (HNC). Using a comprehensive state‐wide dataset, the impact of remoteness on key service parameters and outcomes for people with HNC was examined. Methods: Retrospective quantitative analysis of routinely collected data held within the Queensland Oncology Repository. Design: Quantitative methods (descriptive statistics, multivariable logistic regression and geospatial analysis). Setting: All people diagnosed with HNC in Queensland, Australia. Participants: The impact of remoteness was examined in 1991 people (1171 metropolitan, 485 inner‐regional, 335 rural) with HNC cancer diagnosed between 2013 and 2015. Main Outcome Measures: This paper reports key demographics and tumour characteristics (age, gender, socioeconomic status, First Nations status, co‐morbidities, primary tumour site and staging), service use/uptake (treatment rates, attendance at multidisciplinary team review and timing to treatment) and post‐acute outcomes (readmission rates, causes of readmission and 2‐year survival). In addition to this, the distribution of people with HNC across QLD, distances travelled and patterns of readmission were also analysed. Results: Regression analysis revealed remoteness significantly (p < 0.001) impacted access to MDT review, receiving treatment, and time to treatment commencement, but not readmission or 2‐year survival. Reasons for readmission did not differ by remoteness, with dysphagia, nutritional inadequacies, gastrointestinal disorders and fluid imbalance indicated in the majority of readmissions. Rural people were significantly (p < 0.0001) more likely to travel to care and to readmit to a different facility than provided primary treatment. Conclusions: This study provides new insights into the health care disparities for people with HNC residing in regional/rural areas. [ABSTRACT FROM AUTHOR]

Objective To examine urban-rural differences and individual risk factors for a late stage of breast cancer at diagnosis in Australian women. Design Individual-level longitudinal data were linked with cancer registry data from New South Wales (New South Wales Cancer Registry linked by the Centre for Health Record Linkage (CHeReL)), Queensland (Queensland Cancer Registry) and Victoria (The Cancer Council Victoria). Setting Participants were drawn from the Australian Longitudinal Study on Women's Health 1946-1951 cohort (n = 13 715). Participants The sample included 195 women identified from the linked cancer registry data with a breast cancer diagnosis. Interventions Rural or urban residence was measured using Accessibility/Remoteness Index of Australia Plus (ARIA+). Individual characteristics and socio-demographic variables examined included survey year, menopausal status, country of birth, education and marital status. Main outcome measures A late stage of breast cancer at diagnosis was defined based on the TNM Classification of Malignant Tumours. Results A late stage of breast cancer diagnosis was observed in 36% of women residing in urban areas and 40% of women residing in rural areas. After adjusting for individual characteristics, we found that obesity was the strongest risk factor for a late stage of breast cancer at diagnosis. Conclusions Given that women are becoming increasingly obese, and that the rate of obesity is higher in the Australian rural population, this paper provides further evidence for targeting interventions for obesity, particularly in rural Australia, as a public health priority. [ABSTRACT FROM AUTHOR]

Objective: Melanoma is on the rise, especially in Caucasian populations exposed to high ultraviolet radiation such as in Australia. This paper examined the psychological components facilitating change in skin cancer prevention or early detection behaviours following a text message intervention.Methods: The Queensland-based participants were 18 to 42 years old, from the Healthy Text study (N = 546). Overall, 512 (94%) participants completed the 12-month follow-up questionnaires. Following the social cognitive model, potential mediators of skin self-examination (SSE) and sun protection behaviour change were examined using stepwise logistic regression models.Results: At 12-month follow-up, odds of performing an SSE in the past 12 months were mediated by baseline confidence in finding time to check skin (an outcome expectation), with a change in odds ratio of 11.9% in the SSE group versus the control group when including the mediator. Odds of greater than average sun protective habits index at 12-month follow-up were mediated by (a) an attempt to get a suntan at baseline (an outcome expectation) and (b) baseline sun protective habits index, with a change in odds ratio of 10.0% and 11.8%, respectively in the SSE group versus the control group.Conclusions: Few of the suspected mediation pathways were confirmed with the exception of outcome expectations and past behaviours. Future intervention programmes could use alternative theoretical models to elucidate how improvements in health behaviours can optimally be facilitated. [ABSTRACT FROM AUTHOR]