A scoping review on the associations between early childhood caries and sustainable cities and communities using the sustainable development goal 11 framework.

BACKGROUND: Early childhood caries (ECC) is a multifactorial disease in which environmental factors could play a role. The purpose of this scoping review was to map the published literature that assessed the association between the Sustainable Development Goal (SDG) 11, which tried to make cities and human settlements safe, inclusive, resilient and sustainable, and ECC. METHODS: This scoping review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. In July 2023, a search was conducted in PubMed, Web of Science, and Scopus using tailored search terms related to housing, urbanization, waste management practices, and ECC. Studies that solely examined ECC prevalence without reference to SDG11 goals were excluded. Of those that met the inclusion criteria, a summary highlighting the countries and regions where the studies were conducted, the study designs employed, and the findings were done. In addition, the studies were also linked to relevant SDG11 targets. RESULTS: Ten studies met the inclusion criteria with none from the African Region. Six studies assessed the association between housing and ECC, with findings suggesting that children whose parents owned a house had lower ECC prevalence and severity. Other house related parameters explored were size, number of rooms, cost and building materials used. The only study on the relationship between the prevalence of ECC and waste management modalities at the household showed no statistically significant association. Five studies identified a relationship between urbanization and ECC (urbanization, size, and remoteness of the residential) with results suggesting that there was no significant link between ECC and urbanization in high-income countries contrary to observations in low and middle-income countries. No study assessed the relationship between living in slums, natural disasters and ECC. We identified links between ECC and SDG11.1 and SDG 11.3. The analysis of the findings suggests a plausible link between ECC and SDG11C (Supporting least developed countries to build resilient buildings). CONCLUSION: There are few studies identifying links between ECC and SDG11, with the findings suggesting the possible differences in the impact of urbanization on ECC by country income-level and home ownership as a protective factor from ECC. Further research is needed to explore measures of sustainable cities and their links with ECC within the context of the SDG11.

Phylogenetic Analysis of Transmission Dynamics of Dengue in Large and Small Population Centers, Northern Ecuador.

Although dengue is typically considered an urban disease, rural communities are also at high risk. To clarify dynamics of dengue virus (DENV) transmission in settings with characteristics generally considered rural (e.g., lower population density, remoteness), we conducted a phylogenetic analysis in 6 communities in northwestern Ecuador. DENV RNA was detected by PCR in 121/488 serum samples collected from febrile case-patients during 2019-2021. Phylogenetic analysis of 27 samples from Ecuador and other countries in South America confirmed that DENV-1 circulated during May 2019-March 2020 and DENV-2 circulated during December 2020-July 2021. Combining locality and isolation dates, we found strong evidence that DENV entered Ecuador through the northern province of Esmeraldas. Phylogenetic patterns suggest that, within this province, communities with larger populations and commercial centers were more often the source of DENV but that smaller, remote communities also play a role in regional transmission dynamics.

South Australia's tobacco retail landscape and its intersection with socioeconomic factors and smoking prevalence.

ISSUES ADDRESSED: Tobacco product availability is higher in socioeconomically disadvantaged areas, which can further widen tobacco-related health and disease burden inequities. This study aimed to describe retail availability of tobacco products in South Australia and examine the association between tobacco vendor location, population's socioeconomic status (SES) and tobacco smoking prevalence. METHODS: Cross-sectional 2022 tobacco vendor licence data and 2021-2022 state-wide population health survey data from the South Australian Department of Health were used. Tobacco vendors were enumerated by Statistical Area 2 (SA2) using geocoding software, with SA2s assigned health survey derived smoking prevalence, SES, remoteness category, area size, and population size. RESULTS: As of 2022, there were 1723 tobacco vendors in South Australia and the overall tobacco smoking prevalence across the state was 11.8%. Regression analyses indicated that tobacco vendor density increased with socioeconomic disadvantage and geographic remoteness, and that smoking prevalence was higher in low SES areas. Vendor density was not related to smoking prevalence. CONCLUSIONS: Findings are consistent with existing research indicating greater tobacco availability in socially disadvantaged areas. This supports that tobacco vendor saturation may be directed to areas in a way that promotes tobacco availability for vulnerable populations. Our finding that smoking prevalence was unrelated to tobacco availability contrasts existing literature and should be carefully interpreted. SO WHAT?: This is the first study to map tobacco retailers across South Australia, contributing needed evidence on the intersection of tobacco vendor density, social disadvantage, and smoking prevalence.

Impact of rural residence and low socioeconomic status on rate and timing of prenatal detection of major congenital heart disease in a jurisdiction of universal health coverage.

OBJECTIVE: Socioeconomic status (SES) and distance of residence from tertiary care may impact fetal detection of congenital heart disease (CHD), partly through reduced access to and quality of obstetric ultrasound screening. It is unknown whether SES and remoteness of residence (RoR) affect prenatal detection of CHD in jurisdictions with universal health coverage. We examined the impact of SES and RoR on the rate and timing of prenatal diagnosis of major CHD within the province of Alberta in Canada. METHODS: In this retrospective study, we identified all fetuses and infants diagnosed with major CHD in Alberta, from 2008 to 2018, that underwent cardiac surgical intervention within the first year after birth, died preoperatively, were stillborn or underwent termination. Using maternal residence postal code and geocoding, Chan SES index quintile, geographic distance from a tertiary-care fetal cardiology center and the Canadian Index of Remoteness (IoR) were calculated. Outcome measures included rates of prenatal diagnosis and diagnosis after 22 weeks' gestation. Risk ratios (RR) were calculated using log-binomial regression and stratified by rural (≥ 100 km from tertiary care) or metropolitan (< 100 km from tertiary care) residence, adjusting for year of birth and the obstetric ultrasound screening view in which CHD would most likely be detected (four-chamber view; outflow-tract view; three-vessel or three-vessels-and-trachea or non-standard view; septal view). RESULTS: Of 1405 fetuses/infants with major CHD, prenatal diagnosis occurred in 814 (57.9%). Residence ≥ 100 km from tertiary care (adjusted RR, 1.19; 95% CI, 1.05-1.34) and higher IoR (adjusted RR, 1.9; 95% CI, 1.1-3.3) were associated with missed prenatal diagnosis of major CHD. Similarly, residence ≥ 100 km from tertiary care (adjusted RR, 1.41; 95% CI, 1.22-1.62) and higher IoR (adjusted RR, 3.6; 95% CI, 2.2-8.2) were associated with prenatal diagnosis after 22 weeks. Although adjusted and unadjusted analyses showed no association between Chan SES index quintile and prenatal-diagnosis rate overall nor for residence in rural areas, in metropolitan regions, lower SES quintiles were associated with missed prenatal diagnosis (quintile 1: RR, 1.24; 95% CI, 1.02-1.50) and higher risk of diagnosis after 22 weeks' gestation (quintile 1: RR, 1.46; 95% CI, 1.10-1.93; quintile 2: RR, 1.66; 95% CI, 1.24-2.23). CONCLUSIONS: Despite universal healthcare, rural residence in Alberta is associated with lower rate of prenatal diagnosis of major CHD and higher risk of late prenatal diagnosis (≥ 22 weeks). Within metropolitan regions, lower SES impacts negatively prenatal-diagnosis rate and timing. © 2022 International Society of Ultrasound in Obstetrics and Gynecology.

COVID restrictions impact wildlife monitoring in Australia.

The global COVID-19 pandemic has imposed restrictions on people's movement, work and access to places at multiple international, national and sub-national scales. We need a better understanding of how the varied restrictions have impacted wildlife monitoring as gaps in data continuity caused by these disruptions may limit future data use and analysis. To assess the effect of different levels of COVID-19 restrictions on both citizen science and traditional wildlife monitoring, we analyse observational records of a widespread and iconic monotreme, the Australian short-beaked echidna (Tachyglossus aculeatus), in three states of Australia. We compare citizen science to observations from biodiversity data repositories across the three states by analysing numbers of observations, coverage in protected areas, and geographic distribution using an index of remoteness and accessibility. We analyse the effect of restriction levels by comparing these data from each restriction level in 2020 with corresponding periods in 2018-2019. Our results indicate that stricter and longer restrictions reduced numbers of scientific observations while citizen science showed few effects, though there is much variation due to differences in restriction levels in each state. Geographic distribution and coverage of protected and non-protected areas were also reduced for scientific monitoring while citizen science observations were little affected. This study shows that citizen science can continue to record accurate and widely distributed species observational data, despite pandemic restrictions, and thus demonstrates the potential value of citizen science to other researchers who require reliable data during periods of disruption.

Climate Change Impacts on Health in Remote Indigenous Communities in Australia.

Human-induced climate change in Australia is affecting the frequency and intensity of extreme events, including bushfires, cyclones and drought. Human health is affected by these climate impacts through direct impacts which include injuries and death from extreme events; indirect impacts through natural system changes such as impacts on water, food and air; and indirect impacts on human systems including mental health, productivity, and damage to housing and health-care facilities. Remote settlements are vulnerable to these climate impacts and associated health impacts due to isolated location, quality of the infrastructure, economic resources, limited transport, and existing health vulnerabilities that enable resilience or vulnerability. Remote Indigenous communities are particularly vulnerable. This research sought to identify vulnerabilities of human health of residents in remote Indigenous communities to human-induced climate change to contribute to adequate responses of prevention and preparation.

Road traffic fatalities in rural and remote Australia from 2006 to 2017: The need for targeted action.

OBJECTIVE: To explore rural motor vehicle collision (MVC) fatalities by trends over time, mode of transport, age, state, sex, and Aboriginal and Torres Strait Islander status. DESIGN: A retrospective total population-based time series was conducted using the Australian Bureau of Statistics (ABS) death registration data. SETTING: All statistical local area (SLA) within Australia from 2006 to 2017. PARTICIPANTS: Australian residents whose deaths were registered with the ABS between 01 January 2006 and 31 December 2017 where the underlying cause of death was related to unintentional transport accidents. MAIN OUTCOME MEASURES: Fatality rates were determined using population data collected from the 2006, 2011 and 2016 census. Trends over time by rurality were analysed by financial year. Rates of transport deaths by vehicle type were determined by rurality. Risk ratios were calculated to compare demographic groups based on sex, Aboriginal and Torres Strait Islander status and age. A 3-year scorecard was organised by state and rurality using 99.7% confidence intervals. RESULTS: Motor vehicle collision fatalities increase with increasing remoteness. Females, children from 0 to 14 years, pedestrians, and Aboriginal and Torres Strait Islander peoples are at a significantly higher risk of fatal MVCs than their respective metropolitan counterparts. The 3-year scorecard indicates that road fatality rates in the NT, WA, and all rural and remote areas required immediate attention and targeted action. CONCLUSIONS: There is a need for investment in MVC fatality prevention in rural Australia from inner regional to remote areas in order to meet the road safety targets established by the National Road Safety Strategy.

Breast cancer treatment and survival differences in women in remote and socioeconomically disadvantaged areas, as demonstrated by linked data from New South Wales (NSW), Australia.

INTRODUCTION: Reducing variations in cancer treatment and survival is a key aim of the NSW Cancer Plan. Variations in breast cancer treatment and survival in NSW by remoteness and socioeconomic status of residence were investigated to determine benchmarks. Reducing variations in cancer treatment and survival is a key aim of the NSW Cancer Plan. Variations in breast cancer treatment and survival in NSW by remoteness and socioeconomic status of residence were investigated to determine benchmarks. METHODS: A retrospective cohort study used linked data for invasive breast cancers, diagnosed in May 2002 to December 2015 from the NSW Cancer Registry, with corresponding inpatient, and medical and pharmaceutical insurance data. Associations between treatment modalities, area socioeconomic status and residential remoteness were explored using logistic regression. Predictors of breast cancer survival were investigated using Kaplan-Meier product-limit estimates and multivariate competing risk regression. RESULTS: Results indicated a high 5-year disease-specific survival in NSW of 90%. Crude survival was equivalent by residential remoteness and marginally lower in lower socioeconomic areas. Competing risk regression showed equivalent outcomes by area socioeconomic status, except for the least disadvantaged quintile, which showed a higher survival. Higher sub-hazard ratios for death occurred for women with breast cancer aged 70 + years, and more advanced stage. Adjusted analyses indicated more advanced stage in lower socioeconomic areas, with less breast reconstruction and radiotherapy, and marginally less hormone therapy for women from these areas. Conversely, among these women who had breast conserving surgery, there was higher use of chemotherapy. Remoteness of residence was associated in adjusted analyses with less radiotherapy and less immediate breast reconstruction. In these short term data, remoteness of residence was not associated with lower survival. CONCLUSION: This study provides benchmarks for monitoring future variations in treatment and survival.

Are outcomes for childhood leukaemia in Australia influenced by geographical remoteness and Indigenous race?

BACKGROUND: Presenting features, biology and outcome for childhood leukaemia are known to vary by ethnic origin, geographic location and socioeconomic group. This study aimed to compare presentation patterns, follow-up and clinical outcomes in Indigenous and non-Indigenous children with acute leukaemia in Australia, and to assess the impact of remoteness and area-based socioeconomic disadvantage on outcome. METHODS: A retrospective review of children aged between 1 day and 18 years who were diagnosed with acute leukaemia in South Australia (SA), Northern Territory (NT) and Western Australia (WA) between 2009 and 2018 was performed. Data were collected from children treated at the Women's and Children's Hospital, Adelaide and Perth Children's Hospital. RESULTS: Analysis of 455 children treated for acute leukaemia showed that children from remote/very remote localities had inferior overall survival (p = .004). Five-year overall survival was 91.7% (95% CI: 87.9-94.3%) for children with acute lymphoblastic leukaemia (ALL) and 69.8% (56.7-79.5%) for acute myeloid leukaemia (AML). A larger proportion of Indigenous children from SA/NT were diagnosed with AML compared to non-Indigenous children (60.0% vs. 14.4%, p = .001). Indigenous children were less likely to be enrolled on clinical trials (34.5% vs. 53.1%, p = .03) and more likely to be lost to follow-up (26.1% vs. 9.2%, p = .009). CONCLUSION: Geographic remoteness of residence is associated with inferior overall survival for Australian children with leukaemia. Indigenous children with acute leukaemia suffer from disparities in outcomes. These findings provide evidence to guide national policy in supporting appropriate resource allocation to overcome the challenges faced by children within these groups.

Cohort study examining the relationship between remoteness and requirement for surgery to treat peripheral artery disease at a tertiary hospital in North Queensland.

OBJECTIVE: To assess whether outcomes of peripheral artery disease (PAD) were related to remoteness from the treating tertiary vascular centre. SETTING AND PARTICIPANTS: Participants with a variety of types of occlusive and aneurysmal diseases were recruited from a tertiary hospital in North Queensland, Australia. Remoteness was assessed by residence outside Townsville and estimated distance to the vascular centre. Cox proportional hazard analyses were used to examine the association of remoteness with outcome. DESIGN: Cohort study. MAIN OUTCOME MEASURES: The primary outcome was requirement for surgery to treat PAD. Secondary outcomes were major adverse cardiovascular events (MACE) and all-cause mortality. RESULTS: Of 2487 patients recruited, 1274 (51.2%) had at least one PAD surgery, 720 (29.0%) at least one MACE, and 909 (36.6%) died during a median of 4.2 (inter-quartile range 1.3-7.7) years. Compared to Townsville residents (n = 1287), those resident outside Townsville (n = 1200) had higher rates of PAD surgery (hazard ratio, HR 1.55, 95% confidence intervals, CI, 1.39, 1.73) but no increased risk of MACE (HR 1.00, 95% CI 0.86, 1.16) or death (HR 1.03, 95% CI 0.90, 1.17). This association was attenuated when adjusting for distance from the vascular centre (HR 1.31, 95% CI 1.14, 1.51). Patients in the highest quartile of distance presented with lower ankle-brachial pressure index, more severe carotid artery disease and larger aortic diameter. CONCLUSIONS: People with PAD in North Queensland residing furthest from the tertiary hospital presented with more severe artery disease and had greater rates of PAD surgery.

National analysis of the Modified Monash Model, population distribution and a socio-economic index to inform rural health workforce planning.

AIMS: To describe the population distribution and socio-economic position of residents across all states and territories of Australia, stratified using the 7 Modified Monash Model classifications. The numerical summary, and the methods described, can be applied by a variety of end users including workforce planners, researchers, policy-makers and funding bodies for guiding future investment under different scenarios, and aid in evaluating geographically focused programs. CONTEXT: The Commonwealth Department of Health is transitioning to the Modified Monash Model to objectively describe geographical access. This change applies to the Rural Health Multidisciplinary Training Program, one of the Australian Government's key policies to address the maldistribution of the rural health workforce. Unlike the previously applied Australian Statistical Geography Standard-Remoteness Areas, a summary of the population in each Modified Monash Model classification is not available, nor is a socio-economic overview of the communities within these areas. APPROACH: Spatial analysis of Australian Bureau of Statistics data (Modified Monash Model, population data and the Index of Relative Socio-economic Advantage and Disadvantage collected or derived from the 2016 census) at the Statistical Area 1-the smallest unit for the release of census data. CONCLUSION: Linking the Modified Monash Model, a socio-economic index and granular population data at the national level highlights the disadvantage of many residents in small rural towns (Modified Monash 5). The Modified Monash Model does not exhibit a continuum of the largest population residing in the most accessible classification and the smallest population residing in the least accessible classification that is seen in the Australian Statistical Geography Standard-Remoteness Areas. Coupled with policy relevance, the advantage of using the Modified Monash Model as the basis for analysis is that it highlights areas that have both a critical mass of residents and differing levels of socio-economic advantage and disadvantage. This will help end users to target funding to those regions where there is potential to improve access to services for the greatest number of rural residents.

Geography of public service delivery in rural Ethiopia.

Remote areas are often characterized by lower welfare outcomes due to economic disadvantages and higher transaction costs for trade. But their poorer situation may also be linked to worse public service delivery. Relying on large household surveys in rural Ethiopia, we explore this by assessing the association of two measures of remoteness - (1) the distance of service centers to district capitals and (2) the distance of households to service centers (the last mile) - with public service delivery in agriculture and health sectors. In the agriculture sector, we document statistically significant and economically meaningful associations between exposure to agriculture extension and the two measures of remoteness. For health extension, only the last mile matters. These differences between the two sectors could be due to the fact that more remote villages tend to have fewer agriculture extension workers who also put in fewer hours than their peers in more connected areas. This does not apply in the health sector. These findings provide valuable inputs for policymakers aiming to improve inclusiveness in poor rural areas.

Rural-urban residence and cancer survival in high-income countries: A systematic review.

There is some evidence that place of residence is associated with cancer survival, but the findings are inconsistent, and the underlying mechanisms by which residential location might affect survival are not well understood. We conducted a systematic review of observational studies investigating the association of rural versus urban residence with cancer survival in high-income countries. We searched the Ovid Medline, EMBASE, and CINAHL (Cumulative Index to Nursing and Allied Health Literature) databases up to May 31, 2016. Forty-five studies published between 1984 and 2016 were included. We extracted unadjusted and adjusted relative risk estimates with the corresponding 95% confidence intervals. Most studies reported worse survival for cancer patients living in rural areas than those in urban regions. The most consistent evidence, observed across several studies, was for colorectal, lung, and prostate cancer. Of the included studies, 18 did not account for socio-economic position. Lower survival for more disadvantaged patients is well documented; therefore, it could be beneficial for future research to take socio-economic factors into consideration when assessing rural/urban differences in cancer survival. Some studies cited differential stage at diagnosis and treatment modalities as major contributing factors to regional inequalities in cancer survival. Further research is needed to disentangle the mediating effects of these factors, which may help to establish effective interventions to improve survival for patients living outside major cities.

Mapping Cancer incidence across Western Victoria: the association with age, accessibility, and socioeconomic status among men and women.

BACKGROUND: Cancer is a leading burden of disease in Australia and worldwide, with incidence rates varying with age, sex and geographic location. As part of the Ageing, Chronic Disease and Injury study, we aimed to map the incidence rates of primary cancer diagnoses across western Victoria and investigate the association of age, accessibility/remoteness index of Australia (ARIA) and area-level socioeconomic status (SES) with cancer incidence. METHODS: Data on cancer incidence in the study region were extracted from the Victorian Cancer Registry (VCR) for men and women aged 40+ years during 2010-2013, inclusive. The age-adjusted incidence rates (per 10,000 population/year), as well as specific incidence for breast, prostate, lung, bowel and melanoma cancers, were calculated for the entire region and for the 21 Local Government Areas (LGA) that make up the whole region. The association of aggregated age, ARIA and SES with cancer incidence rates across LGAs was determined using Poisson regression. RESULTS: Overall, 15,120 cancer cases were identified; 8218 (54%) men and 6902 women. For men, the age-standardised rate of cancer incidence for the whole region was 182.1 per 10,000 population/year (95% CI 177.7-186.5) and for women, 162.2 (95% CI: 157.9-166.5). The incidence of cancer (overall) increased with increasing age for men and women. Geographical variations in cancer incidence were also observed across the LGAs, with differences identified between men and women. Residents of socioeconomically disadvantaged and less accessible areas had higher cancer incidence (p < 0.001). CONCLUSION: Cancer incidence rates varied by age, sex, across LGAs and with ARIA. These findings not only provide an evidence base for identifying gaps and assessing the need for services and resource allocation across this region, but also informs policy and assists health service planning and implementation of preventative intervention strategies to reduce the incidence of cancer across western Victoria. This study also provides a model for further research across other geographical locations with policy and clinical practice implications, both nationally and internationally.

Effect of socio-economic status & proximity of patient residence to hospital on survival in childhood acute lymphoblastic leukaemia.

BACKGROUND & OBJECTIVES: : Survival in paediatric acute lymphoblastic leukaemia (ALL) in lower/middle income countries continues to lag behind outcomes seen in high-income countries. Socio-economic factors and distance of their residence from the hospital may contribute to this disparity. This study was aimed at identifying the impact of these factors on outcome in childhood ALL. METHODS: : In this retrospective study, file review of children with ALL was performed. Patients were treated with the modified United Kingdom (UK) ALL-2003 protocol. Details of socio-economic/demographic factors were noted from a web-based patients' database. Modified Kuppuswamy scale was used to classify socio-economic status. RESULTS: : A total of 308 patients with a median age of five years (range: 1-13 yr) were studied. Patients belonging to upper, middle and lower SE strata numbered 85 (28%), 68 (22%) and 155 (50%). Nearly one-third of the patients were underweight. There was no treatment abandonment among children whose mothers were graduates. Neutropenic deaths during maintenance therapy were lower in mothers who had passed high school. In patients who survived induction therapy, the five year event-free survival (EFS) of upper SE stratum was significantly better 78.7±4.9 vs. 59±7.2 and 58.1±4.6 per cent in middle and lower strata (P =0.026). Five year overall survival was higher in the higher SE group; being 91.2±3.5, 78.3±5.6 and 78.8±3.9 per cent (P =0.055) in the three strata. Survival was unaffected by a distance of residence from treating centre or rural/urban residence. High-risk and undernourished children had a greater hazard of mortality [1.80 (P =0.015); 1.98 (P =0.027)]. INTERPRETATION & CONCLUSIONS: : Our findings showed that higher socio-economic status contributed to superior EFS in children with ALL who achieved remission. Undernutrition increased the risk of mortality.

Structural modelling of wellbeing for Indigenous Australians: importance of mental health.

BACKGROUND: Australia provides health care services for Indigenous peoples as part of its effort to enhance Indigenous peoples' wellbeing. However, biomedical frameworks shape Australia's health care system, often without reference to Indigenous wellbeing priorities. Under Indigenous leadership the Interplay research project explored wellbeing for Indigenous Australians in remote regions, through defining and quantifying Indigenous people's values and priorities. This article aimed to quantify relationships between health care access, mental and physical health, and wellbeing to guide services to enhance wellbeing for Indigenous Australians in remote regions. METHODS: Indigenous and non-Indigenous researchers worked with Indigenous people in remote Australia to create a framework of wellbeing priorities. Indigenous community priorities were community, culture and empowerment; these interplay with government priorities for Indigenous development of health, education and employment. The wellbeing framework was further explored in four Indigenous communities through a survey which measured aspects of the wellbeing priorities. Indigenous community researchers administered the survey in their home communities to 841 Indigenous people aged 15 to 34 years from June 2014. From the survey items, exploratory factor analysis was used to develop constructs for mental and physical health, barriers to health care access and wellbeing. Relationships between these constructs were quantified through structural equation modelling. RESULTS: Participants reported high levels of health and physical health (mean scores (3.17/4 [SD 0.96]; and 3.76/4 [SD 0.73]) and wellbeing 8.07/10 [SD 1.94]. Transport and costs comprised the construct for barriers to health care access (mean access score 0.89/1 [SD 0.28]). Structural equation modelling showed that mental health, but not physical health was associated with wellbeing (ß = 0.25, P < 0.001; ß = - 0.038, P = 0.3). Health care access had an indirect positive relationship with wellbeing through mental health (ß = 0.047, P = 0.007). Relationships differed significantly for participants in remote compared with those in very remote communities. CONCLUSIONS: Greater attention to mental health and recognition of the role of services outside the health care sector may have positive impacts on wellbeing for Indigenous people in remote/ very remote Australia. Aggregation of remote and very remote populations may obscure important differences between Indigenous communities.

Does geography matter in mortality? An analysis of potentially avoidable mortality by remoteness index in Canada.

BACKGROUND: The avoidable mortality rate is a key indicator of overall health and health care utilization. However, the avoidable mortality rate may differ by the relative remoteness of a community. Avoidable mortality rates specific to remote areas cannot be investigated unless there is a clear geographic classification of remoteness. Therefore, this research uses a newly developed remoteness index to explore the geographic variability of avoidable mortality in Canada. DATA AND METHODS: The remoteness index, Canadian Vital Statistics-Death Database (2011 to 2015), and the 2016 Census of Population are used to understand the geographic variability of preventable and treatable mortality rates in Canada. Descriptive and multivariate data analysis techniques are used to test the hypothesis that remoteness is one of the statistically significant predictors of avoidable mortality rates in Canada. RESULTS: There is a clear gradient of preventable and treatable mortality rates by relative remoteness. The preventable and treatable mortality rates are significantly higher in more remote areas than in easily accessible areas. The remoteness index is a good predictor of both preventable and treatable causes of mortality for low-Aboriginal census subdivisions but not for high-Aboriginal census subdivisions in Canada. DISCUSSION: Both preventable and treatable mortality rates vary significantly by remoteness, despite Canada's universal health care system. The remoteness of Canadian communities may have affected health care delivery and utilization.

Geographical variation in preventable hospital admissions for dental conditions: An Australia-wide analysis.

OBJECTIVE: To describe the characteristics of hospital admissions for dental conditions, by Australian Statistical Geography Standard remoteness area for the 5 years 2010/2011 to 2014/2015. DESIGN: Retrospective analysis of preventable hospital admissions due to dental conditions. SETTING: National data set provided by the Australian Institute of Health and Welfare. PARTICIPANTS: Every hospital admission for patients who were admitted for dental conditions over five financial years, from 2010/2011 to 2014/2015. MAIN OUTCOME MEASURES: The number (and rate per 1000 population) of hospital admissions due to dental conditions in each Australian Statistical Geography Standard remoteness area (major city, inner regional, outer regional, remote and very remote). RESULTS: There were 316 937 hospital admissions for dental conditions over the 5-year period. The rate of potentially preventable dental hospital admissions ranged from an average of 2.5 per 1000 population in major cities to 3.2 in inner regional areas, 3.1 in outer regional areas, and 4.1 per 1000 in remote and very remote areas. The rate of admissions was highest among those aged 0-14 years living in remote (9.0-10.0 per 1000) and very remote (9.8-12.5 per 1000) areas. Dental caries was the most common reason for admissions. CONCLUSIONS: There is an urgent need to address the social determinants of oral health in children aged 0-14 years living in remote and very remote Australia. The delivery of mobile primary dental care services needs to be expanded in remote and very remote areas to prevent and treat dental caries.

Injury trends from envenoming in Australia, 2000-2013.

BACKGROUND: Accidental injury is a major public health problem in developed countries with 20 years elapsed since a national overview of venomous bites undertaken in Australia. AIM: Provide the first contemporary epidemiological insight into venomous injuries based on demographics and geography nationally in Australia in the period 2000-2013. METHODS: An analysis of national hospitalisation and mortality data was undertaken to examine the incidence of injury and death due to envenoming in Australia. Rates were calculated using the intercensal population for all Australian age groups. RESULTS: Over the study period, deaths occurred due to an anaphylactic event (0.16 per 100 000), snake envenoming (0.13 per 100 000) or box jellyfish envenoming (0.01 per 100 000). Only 44% of cases involving anaphylaxis reached medical care prior to death, compared to 74% of those envenomed by snakes. Over half of all deaths (52%) occurred at home, and 64% of these occurred within a major city or inner regional area, with 48% of work-related anaphylaxis deaths. Hospital admission rates of 199 per 100 000 persons over the 11 years were caused by contact with wasps or bees (31%), spiders (30%) and snakes (15%), with a predominant age range of 30-44 years. CONCLUSIONS: The greatest burden of injury due to envenoming was caused by arthropods and snakes. Causes of death were led by anaphylaxis subsequent to an arthropod bite or sting, followed by death from snake envenoming. Over half the incidents resulting in death occurred at home, in areas where healthcare is accessible. Operational data routinely collected are informative, with variations of injury incidence between the States and Territories, indicating a need for a more localised approach to the management of this injury.

Heart Failure Hospitalisations in the Hunter New England Area Over 10 years. A Changing Trend.

BACKGROUND: Heart failure carries a major burden on our health system, mainly related to the high rate of hospital admission. An understanding of the recent trends in heart failure hospitalisation is essential to the future allocation of health resources. Our aim is to analyse the temporal trends in heart failure hospitalisation. METHODS: We extracted all separations in the Hunter New England Local Health District between 2005-2014 (n=40,119) with an ICD 10 code for heart failure (I-50) in the first four diagnoses on discharge. The numbers of hospitalisations were age-standardised to the 2001 Australian population and compared based on gender and remoteness. RESULTS: There was a decline in the age-standardised hospitalisation. However, there was a clear inflection point between 2009-2010, after which the decline levelled off. The absolute number of hospitalisations increased between 2010 and 2014. Heart failure hospitalisation was higher in males compared to females and rural compared to metropolitan inhabitants. CONCLUSION: The gains in heart failure treatment noted in recent years seem to have come to an end. Patients aged 75 years and older are contributing the majority of age-standardised hospitalisations.