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Objective To examine the association between residential remoteness and stage of cancer at diagnosis, treatment uptake, and survival within the Australian Indigenous population. Design Systematic review and matched retrospective cohort study. Setting Australia. Participants Systematic review: published papers that included a comparison of cancer stage at diagnosis, treatment uptake, mortality and/or survival for Indigenous people across remoteness categories were identified (n = 181). Fifteen papers (13 studies) were included in the review. Original analyses: new analyses were conducted using data from the Queensland Indigenous Cancer Study (QICS) comparing cancer stage at diagnosis, treatment uptake, and survival for Indigenous cancer patients living in rural/remote areas (n = 627, 66%) and urban areas (n = 329, 34%). Main Outcome Measures Systematic review: Papers were included if there were related to stage of disease at diagnosis, treatment, mortality and survival of cancer. Restrictions were not placed on the outcome measures reported (e.g. standardised mortality ratios versus crude mortality rates). Original analyses: Odds ratios (OR, 95%CI) were used to compare stage of disease and treatment uptake between the two remoteness groups. Treatment uptake (treated/not treated) was analysed using logistic regression analysis. Survival was analysed using Cox proportional hazards regression. The final multivariate models included stage of cancer at diagnosis and area-level socioeconomic status (SEIFA). Results Existing evidence of variation in cancer outcomes for Indigenous people in remote compared with metropolitan areas is limited. While no previous studies have reported on differences in cancer stage and treatment uptake by remoteness within the Indigenous population, the available evidence suggests Indigenous cancer patients are less likely to survive their cancer the further they live from urban centres. New analysis of QICS data indicates that Indigenous cancer patients in rural/remote Queensland were less likely to be diagnosed with localised disease and less likely to receive treatment for their cancer compared to their urban counterparts. Conclusion More research is needed to fully understand geographic differentials in cancer outcomes within the Indigenous population. Knowing how geographical location interacts with Indigenous status can help to identify ways of improving cancer outcomes for Indigenous Australians. [ABSTRACT FROM AUTHOR]

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 This paper describes the sociodemographic and health-related characteristics of people with chronic disease attending an interprofessional student-assisted clinic in regional Queensland. Design A retrospective review of data collected during the first 10 months of operation of the clinic was conducted. Setting, participants and outcome measures Data was collected on up to 378 patients during an intake appointment at the Capricornia Allied Health Partnership ( CAHP) community-based clinic and compared with normative reference groups where available. Sociodemographic characteristics included age, gender and education level; health-related characteristics included body mass index and hospitalisations in the previous 12 months; and risk factors included prescribed medications, smoking status and general practitioner-diagnosed medical conditions. Results Patients attending the CAHP clinic had a mean number of chronic conditions of 4.9 ± 2.1 per patient, and 97% of patients had multimorbidities. A high level of socioeconomic disadvantage was found in comparison with normative comparison groups based on employment, highest level of schooling completed and the index of social disadvantage. Patients predominantly lived in inner regional areas (76.7%). The most common diagnoses of patients attending the clinic for the first time were hypertension, osteoarthritis, high cholesterol, diabetes and chronic back pain. Conclusions The CAHP clinic offers a unique student-assisted service model for interprofessional management of patients who are socioeconomically disadvantaged, have multimorbid chronic disease and live in regional areas. The description of baseline data in this paper is important to refine clinic services, to guide other chronic disease clinics and to inform future research study designs. [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]

Introduction: The WHO estimates the incidence of iron deficiency anaemia in Australia is 25%. However there is considerable variation during pregnancy and in regional areas. Objective: The aim of this investigation is to quantify the incidence of iron deficiency anaemia during pregnancy within Far North Queensland. Design: This is a single‐centre retrospective cohort study. Cairns Hospital is the main referral centre for complex maternity care in Far North Queensland with an estimated population of 280‐000, which includes many people from rural and remote communities and a high proportion who identify as Aboriginal or Torres Strait Islander. This study included all births at the Cairns Hospital in 2018, a total of 2190 deliveries. Findings: The study randomly sampled 551 mothers from the cohort, and the incidence of iron deficiency anaemia was 34.9%. 48.7% of women who identified as Aboriginal or Torres Strait Islander within the region were anaemic. This was significantly higher than an incidence of 28.9% for the rest of the population. Other risk factors include booking appointment after 28‐weeks, Asian ethnicity and age less than 25‐years. A BMI greater than 35 was protective Discussion: This study will inform antenatal care providers within the region and improve obstetric outcomes by increasing awareness. Identifying risk factors will also facilitate prompt treatment and improve maternity care for vulnerable patient groups. On a broader level, the study provides new data to inform population health estimates both nationally and internationally. Conclusion: The incidence of iron deficiency anaemia during pregnancy in Far North Queensland is significantly higher than previous estimates. [ABSTRACT FROM AUTHOR]

Objective(s): The objective of the study was to validate a clinical aid to guide the assessment and management of a patient's listed beta‐lactam antibiotic allergy for use in rural areas of Australia. Design: Rural generalists, pharmacists and junior doctors completed an online assessment of eight patient case studies using the tool. Setting: The study was conducted in the Southern Downs, QLD. Participants: Twenty‐seven rural generalists, nine pharmacists and eight junior doctors. Main outcome measures: The sensitivity of the selected allergy phenotype and management option for each case study was calculated by profession and overall. Hazardous responses were reported by management category and profession. Results: The sensitivity overall for phenotype selection was 82.4% (95% CI, 78.0–86.2) and for management 88.1% (95% CI, 84.2–91.2). The sensitivity for phenotype selection was lower for junior doctors than other professions 73.4% (95% CI, 60.9–83.7), but did not reach statistical significance (p = 0.08). A total of 10/308 responses for management recommended the least restrictive option of direct delabelling or oral challenge, where the correct answer was skin prick testing or referral to an allergist. Conclusion(s): With further education the tool could be a key component of increased antimicrobial stewardship in rural areas in Australia. [ABSTRACT FROM AUTHOR]