Index Of Relative Socioeconomic Disadvantage Research Articles

Long-Term Implications of Socioeconomic Status on Major Adverse Cardiovascular, Cerebrovascular Events (MACCE), and All-Cause Mortality

Socio-economic status (SES) has a large impact on health through a complex interplay of upstream, midstream and downstream factors. However, little is known about the predictive role of SES on long-term major adverse cardiovascular, cerebrovascular events, and mortality (MACCE). To determine the long-term relationship between SES and MACCE for men and women. The secondary endpoint was to determine the relationship between SES and all-cause mortality. A total of 3,034 participants (1,494 women and 1,540 men) were assessed at baseline in the Geelong Osteoporosis Study, a large regional Australian population cohort study. Area-based SES was assessed, utilising the Index of Relative Socio-Economic Disadvantage (IRSD) and grouped into quintiles. The primary endpoint, MACCE, was defined as a composite of myocardial infarction, heart failure hospitalisation, malignant arrhythmias, stroke, and all-cause mortality. The secondary endpoint was all-cause mortality. Baseline data including age, sex, smoking status and alcohol use, and comorbidities were collected between 1993-1997 for women, and 2001-2006 for men, with follow-up over 30 and 22 years, respectively. Logistic regression was utilised to assess MACCE and all-cause mortality outcomes across the SES quintiles. Participants lost to follow-up or with incomplete data collection were excluded leaving 2,173 participants eligible for analysis. SES was associated with MACCE outcomes. Compared with Quintile I (lowest SES stratum), the odds of MACCE for each IRSD stratum were: Quintile II, odds ratio (OR) 0.85 (95% confidence interval [CI] 0.65-1.13); Quintile III, OR 0.69 (95% CI 0.51-0.91); Quintile IV, OR 0.66 (95% CI 0.50-0.88); and, Quintile V, OR 0.55 (95% CI 0.41-0.72). In the adjusted model, an inverse trend was noted, with reducing MACCE outcomes with an increasing SES status; IRSD Quintile II, OR 0.85 (95% CI 0.62-1.17); Quintile III, OR 0.70 (95% CI 0.50-0.97); Quintile IV, OR 0.73 (95% CI 0.52-1.02); and, Quintile V, OR 0.54 (95% CI 0.39-0.74). SES was inversely associated with all-cause mortality; IRSD Quintile II (OR 0.87, 95% CI 0.66-1.16) failed to achieve significance however IRSD Quintile III (OR 0.65, 95% CI 0.48-0.88), Quintile IV (OR 0.59, 95% CI 0.44-0.80) and Quintile V (OR 0.46, 95% CI 0.34-0.62) had a lower risk of mortality compared with Quintile I. In the adjusted model, an inversely proportional trend was noted between SES and all-cause mortality; IRSD Quintile II (OR 0.82, 95% CI 0.59-1.15), IRSD Quintile III (OR 0.63, 95% CI 0.49-0.95), Quintile IV (OR 0.59, 95% CI 0.45-0.90) and Quintile V (OR 0.44, 95% CI 0.31-0.61) had fewer mortality events compared with IRSD Quintile I. Our research indicates that being part of a lower socio-economic stratum is linked to a higher likelihood of experiencing negative cardiovascular and cerebrovascular events, along with an increased risk of overall mortality. SES is an important risk stratification marker for long-term prognosis of cardiovascular diseases and stroke, and warrants further investigation.

The epidemiology of acute pancreatitis in tasmania over a 12-year period: Is this a disease of disadvantage?

BackgroundThe global incidence of acute pancreatitis (AP) is increasing, but little information exists about trends in Australia. This study aimed to describe incidence trends, along with clinical and socio-demographic associations, in the state of Tasmania over a recent 12-year period. MethodsThe study cohort was obtained by linking clinical and administrative datasets encompassing the whole Tasmanian population between 2007 and 2018, inclusive. Pancreatitis case definition was based on relevant ICD-10 hospitalization codes, or elevated serum lipase or amylase in pathology data.Age-standardised incidence rates were estimated, overall and stratified by sex, aetiology, and Index of Relative Socio-economic Disadvantage (IRSD). ResultsIn the study period, 4905 public hospital AP episodes were identified in 3503 people. The age-standardised person-based incidence rate across the entire period was 54 per 100,000 per year. Incidence was inversely related to IRSD score; 71 per 100,000 per year in the most disadvantaged quartile compared to 32 in the least disadvantaged. Biliary AP incidence was higher than that of alcohol-related AP, although the greatest incidence was in “unspecified” cases. There was an increase in incidence for the whole cohort (average annual percent change 3.23 %), largely driven by the two most disadvantaged IRSD quartiles; the least disadvantaged quartile saw a slight overall decrease. ConclusionThis is the first Australian study providing robust evidence that AP incidence is increasing and is at the upper limit of population-based studies worldwide. This increased incidence is greatest in socio-economically disadvantaged areas, meriting further research to develop targeted, holistic management strategies.

Improved Glycemic Outcomes With Diabetes Technology Use Independent of Socioeconomic Status in Youth With Type 1 Diabetes.

Technology use in type 1 diabetes (T1D) is impacted by socioeconomic status (SES). This analysis explored relationships between SES, glycemic outcomes, and technology use. A cross-sectional analysis of HbA1c data from 2,822 Australian youth with T1D was undertaken. Residential postcodes were used to assign SES based on the Index of Relative Socio-Economic Disadvantage (IRSD). Linear regression models were used to evaluate associations among IRSD quintile, HbA1c, and management regimen. Insulin pump therapy, continuous glucose monitoring, and their concurrent use were associated with lower mean HbA1c across all IRSD quintiles (P < 0.001). There was no interaction between technology use and IRSD quintile on HbA1c (P = 0.624), reflecting a similar association of lower HbA1c with technology use across all IRSD quintiles. Technology use was associated with lower HbA1c across all socioeconomic backgrounds. Socioeconomic disadvantage does not preclude glycemic benefits of diabetes technologies, highlighting the need to remove barriers to technology access.

Cardiovascular disease hospitalizations among women who undergo fertility treatment

Research questionAre women who receive fertility treatment at increased risk of cardiovascular disease (CVD) hospitalization compared with women who do not? DesignA retrospective cohort study of all women registered for fertility treatment at Monash IVF between 1998 and 2014. This cohort was linked to the Victorian Admitted Episodes Dataset, which contains records of all hospital admissions in the Australian state of Victoria. Age- and Index of Relative Socioeconomic Disadvantage (IRSD)-adjusted relative risks of CVD hospitalization for women who did or did not undergo fertility treatment were determined using Poisson regression. Risks were calculated overall by CVD subtype and stratified by area-based social disadvantage using IRSD fifths, number of stimulated cycles and mean oocytes per cycle. ResultsOf 27,262 women registered for fertility treatment, 24,131 underwent treatment and 3131 did not. No significant difference was found in risk of CVD hospitalization between treated and untreated women overall (adjusted RR 0.93, 95% 0.82 to 1.05) or by CVD subtype. The admission risk for CVD was significantly lower in treated women who had a mean of fewer than five oocytes per cycle (adjusted RR 0.80, 95% CI 0.70 to 0.92) compared with untreated women. Treated women residing in areas within the second IRSD fifth were less likely to be hospitalized for CVD compared with untreated women (age-adjusted RR 0.66, 95% CI 0.49 to 0.89). ConclusionsFertility treatment is not associated with increased risk of CVD hospitalization. Lower risk among some subgroups of treated women may be explained by social disadvantage.

Socioeconomic representativeness of Australian, Canadian and British cohorts from the paediatric diabetes AdDIT study: comparisons to regional and national data

BackgroundGiven limited data regarding the involvement of disadvantaged groups in paediatric diabetes clinical trials, this study aimed to evaluate the socioeconomic representativeness of participants recruited into a multinational clinical trial in relation to regional and national type 1 diabetes reference populations.MethodsRetrospective, cross-sectional evaluation of a subset of adolescent type 1 diabetes cardiorenal intervention trial (AdDIT) participants from Australia (n = 144), Canada (n = 312) and the UK (n = 173). Validated national measures of deprivation were used: the Index of Relative Socioeconomic Disadvantage (IRSD) 2016 (Australia), the Material Resources (MR) dimension of the Canadian Marginalisation index 2016 (Canada) and the Index of Multiple Deprivation (IMD) 2015 (UK). Representativeness was assessed by comparing the AdDIT cohort’s distribution of deprivation quintiles with that of the local paediatric type 1 diabetes population (regional), and the broader type 1 diabetes population for which the trial’s intervention was targeted (national).ResultsRecruited study cohorts from each country had higher proportions of participants with higher SES, and significant underrepresentation of lower SES, in relation to their national references. The socioeconomic make-up in Australia mirrored that of the regional population (p = 0.99). For Canada, the 2nd least deprived (p = 0.001) and the most deprived quintiles (p < 0.001) were over- and under-represented relative to the regional reference, while the UK featured higher regional and national SES bias with over-representation and under-representation from the least-deprived and most-deprived quintiles (p < 0.0001).ConclusionsSignificant national differences in trial participation of low SES participants were observed, highlighting limitations in access to clinical research and the importance of reporting sociodemographic representation in diabetes clinical trials.Trial registrationNCT01581476. Registered on 20 April 2012.

Health care service use by people diagnosed with invasive melanoma in Queensland: a benefit incidence analysis.

To quantify differences, by residential remoteness and socio-economic status, in health care service use by people diagnosed with invasive melanoma in Queensland. Benefit incidence analysis of CancerCostMod data, comprising Queensland Cancer Registry data linked with Queensland Hospital Admitted Patient Data Collection (QHAPDC), Medicare Benefits Schedule (MBS), and Pharmaceutical Benefits Scheme (PBS) data. Adults (18 years or older) newly diagnosed with invasive melanoma in Queensland during 1 July 2011 - 31 June 2015 and alive three years after diagnosis. Concentration curves and indices quantifying differences by residential postcode-based remoteness (Australian Statistical Geography Standard - Remoteness Area) and socio-economic disadvantage (Index of Relative Socioeconomic Disadvantage) in hospital admissions (overall and by type) and use of MBS (overall and by type) and PBS services during the three years following diagnosis of invasive melanoma. A total of 13 145 adults diagnosed with invasive melanoma during 2011-15 were alive three years after the diagnosis. Public hospital admissions were more frequent for people living in areas of greater socio-economic disadvantage (concentration index, -0.15; 95% confidence interval [CI], -0.19 to -0.12) or outside major cities (concentration index, -0.10; 95% CI, -0.13 to -0.06); private hospital admissions (concentration index, 0.11; 95% CI, 0.07-0.15) and specialist consultations (concentration index, 0.08; 95% CI, 0.07-0.10) were more frequent in areas of lesser disadvantage and in major cities (private hospital admissions: 0.10; 95% CI, 0.06-0.13; specialist services: 0.07; 95% CI, 0.06-0.09). Differences in other melanoma health care service use by residential remoteness and socio-economic disadvantage were not statistically significant. Variation in health care service use by Queenslanders with primary diagnoses of invasive melanoma by residential socio-economic disadvantage and remoteness were generally minor. Our analysis suggests that access to health care for people with melanoma is fairly equitable in Queensland.

Using a validated instrument to assess pregnancy planning and preconception care at antenatal booking visits: a retrospective cohort study.

To determine the completion rate for the London Measure of Unplanned Pregnancy (LMUP), a psychometrically validated measure of a woman's intention with regard to a current or recent pregnancy, during booking visits at two metropolitan antenatal care clinics; to identify socio-demographic characteristics associated with unplanned pregnancy. Retrospective cohort study; analysis of LMUP data for women attending antenatal care booking consultations as public patients in the Sydney Local Health District, 31 December 2019 - 30 November 2020. Proportions of women with LMUP scores indicating unplanned (0-9) or planned pregnancies (10-12); associations between planned pregnancy and socio-demographic characteristics, crude and adjusted for age, parity, and socio-economic status (Index of Relative Socioeconomic Disadvantage). Of 4993 women with antenatal care bookings, the LMUP was completed by 2385 (47.8%; 1142 of 3564 women at the tertiary referral hospital [32.0%], 1118 of 1160 at the secondary hospital [96.3%]). Planned pregnancies were indicated by the total LMUP scores of 1684 women (70.6%); 1290 women (59.1%) reported no health actions in preparation for pregnancy. In multivariable analyses, planned pregnancies were more likely in all age groups than for women aged 24 years or younger (30-34 years: adjusted odds ratio [aOR], 2.54; 95% confidence interval [CI], 1.76-3.66; 35-39 years: aOR, 2.91; 95% CI, 1.95-4.33). The likelihood of planned pregnancy declined with increasing parity (v no previous births: three previous births: aOR, 0.25; 95% CI, 0.16-0.40; four or more previous births: aOR, 0.10; 95% CI, 0.05-0.19). Seven in ten women who completed the LMUP had planned their pregnancies, but fewer than half had undertaken health-related actions prior to conceiving. Higher parity was associated with unplanned pregnancy, indicating the importance of postpartum contraception advice. Overcoming barriers to implementing the LMUP more widely would enhance preconception health monitoring.

Social disadvantage in early psychosis and its effect on clinical presentation and service access, engagement and use

Incidence of psychosis varies geographically due to factors such as social disadvantage. Whether this influences the clinical presentation and/or engagement of those experiencing psychosis remains relatively understudied. This study analysed data from young people across Australia accessing ultra-high risk (UHR) or first episode psychosis (FEP) services delivered through the headspace Early Psychosis (hEP) program between June 2017 and March 2021. The cohort was categorised into low, middle, and high tertiles of social disadvantage using the Index of Relative Socioeconomic Disadvantage (IRSD). Data from 3089 participants aged 15–25 were included (1515 UHR, 1574 FEP). The low and middle tertiles for both cohorts had greater percentages of those not in education or employment (NEET), with First Nations or culturally and linguistically diverse backgrounds. Clinical presentations to services were similar across all tertiles in both cohorts, however, functioning at presentation varied significantly within the FEP cohort. Significantly lower numbers of direct services were provided in the low tertile of both cohorts, with significantly poorer engagement in the initial three-months also occurring for these young people. This variation in early psychosis service patterns associated with geographical variation in social deprivation demonstrates the need for further research and fine tuning of national early psychosis services.

Socioeconomic status and diabetes technology use in youth with type 1 diabetes: a comparison of two funding models.

Technology use, including continuous glucose monitoring (CGM) and insulin pump therapy, is associated with improved outcomes in youth with type 1 diabetes (T1D). In 2017 CGM was universally funded for youth with T1D in Australia. In contrast, pump access is primarily accessed through private health insurance, self-funding or philanthropy. The study aim was to investigate the use of diabetes technology across different socioeconomic groups in Australian youth with T1D, in the setting of two contrasting funding models. A cross-sectional evaluation of 4957 youth with T1D aged <18 years in the national registry was performed to determine technology use. The Index of Relative Socio-Economic Disadvantage (IRSD) derived from Australian census data is an area-based measure of socioeconomic status (SES). Lower quintiles represent greater disadvantage. IRSD based on most recent postcode of residence was used as a marker of SES. A multivariable generalised linear model adjusting for age, diabetes duration, sex, remoteness classification, and location within Australia was used to determine the association between SES and device use. CGM use was lower in IRSD quintile 1 in comparison to quintiles 2 to 5 (p<0.001) where uptake across the quintiles was similar. A higher percentage of pump use was observed in the least disadvantaged IRSD quintiles. Compared to the most disadvantaged quintile 1, pump use progressively increased by 16% (95% CI: 4% to 31%) in quintile 2, 19% (6% to 33%) in quintile 3, 35% (21% to 50%) in quintile 4 and 51% (36% to 67%) in the least disadvantaged quintile 5. In this large national dataset, use of diabetes technologies was found to differ across socioeconomic groups. For nationally subsidised CGM, use was similar across socioeconomic groups with the exception of the most disadvantaged quintile, an important finding requiring further investigation into barriers to CGM use within a nationally subsidised model. User pays funding models for pump therapy result in lower use with socioeconomic disadvantage, highlighting inequities in this funding approach. For the full benefits of diabetes technology to be realised, equitable access to pump therapy needs to be a health policy priority.

The relative value of sociocultural and infrastructural adaptations to heat in a very hot climate in northern Australia: a case time series of heat-associated mortality

Climate change is increasing heat-associated mortality particularly in hotter parts of the world. The Northern Territory is a large and sparsely populated peri-equatorial state in Australia. The Northern Territory has the highest proportion of Aboriginal and Torres Strait Islander people in Australia (31%), most of whom live in remote communities of over 65 Aboriginal Nations defined by ancient social, cultural, and linguistic heritage. The remainder non-Indigenous population lives mostly within the two urban centres (Darwin in the Top End region and Alice Springs in the Centre region of the Northern Territory). Here we aim to compare non-Indigenous (eg, high income) and Indigenous societies in a tropical environment and explore the relative importance of physiological, sociocultural, and technological and infrastructural adaptations to heat. In this case time series, we matched temperature at the time of death using a modified distributed lag non-linear model for all deaths in the Northern Territory, Australia, from Jan 1, 1980, to Dec 31, 2019. Data on deaths came from the national registry of Births, Deaths and Marriages. Cases were excluded if location or date of death were not recorded or if the person was a non-resident. Daily maximum and minimum temperature were measured and recorded by the Bureau of Meteorology. Hot weather was defined as mean temperature greater than 35°C over a 3-day lag. Socioeconomic status as indicated by Index of Relative Socioeconomic Disadvantage was mapped from location at death. During the study period, 34 782 deaths were recorded; after exclusions 31 800 deaths were included in statistical analysis (15 801 Aboriginal and 15 999 non-Indigenous). There was no apparent reduction in heat susceptibility despite infrastructural and technological improvements for the majority non-Indigenous population over the study period with no heat-associated mortality in the first two decades (1980-99; relative risk 1·00 [95% CI 0·87-1·15]) compared with the second two decades (2000-19; 1·14 [1·01-1·29]). Despite marked socioeconomic inequity, Aboriginal people are not more susceptible to heat mortality (1·05, [0·95-1·18]) than non-Indigenous people (1·18 [1·06-1·29]). It is widely believed that technological and infrastructural adaptations are crucial in preparing for hotter climates; however, this study suggests that social and cultural adaptations to increasing hot weather are potentially powerful mechanisms for protecting human health. Although cool shelters are essential during extreme heat, research is required to determine whether excessive exposure to air-conditioned spaces might impair physiological acclimatisation to the prevailing environment. Understanding sociocultural practices from past and ancient societies provides insight into non-technological adaptation opportunities that are protective of health. None.

Sixteen-year trends in multiple lifestyle risk behaviours by socioeconomic status from 2004 to 2019 in New South Wales, Australia.

Few studies have examined trends in inequalities related to lifestyle risk behaviours. This study examined 1) 16-year (2004-2019) trends of individual lifestyle risk factors and a combined lifestyle risk index and 2) trends in socioeconomic inequalities in these risk factors, in New South Wales (NSW; Australia) adults. Data was sourced from the NSW Adult Population Health Survey, an annual telephone survey of NSW residents aged ≥16 years, totalling 191,905 completed surveys. Excessive alcohol consumption, current smoking, insufficient physical activity, insufficient fruit and/or vegetable consumption, sugar-sweetened beverage [SSB] consumption, and a combined lifestyle risk index (overall high-risk lifestyle defined as total number of lifestyle risk behaviours ≥2) were examined. Socioeconomic status was assessed using education attainment, postal area-level disadvantage measured by Index of Relative Socioeconomic Disadvantage (IRSD), and remoteness based on Accessibility-Remoteness Index of Australia Plus (ARIA+). Socioeconomic inequalities were examined as prevalence difference for absolute inequalities and prevalence ratio for relative inequalities. The prevalence of lifestyle behaviours by levels of each socioeconomic status variable were estimated using predicted probabilities from logistic regression models. After adjusting for covariates, there was a decrease in prevalence over time for most lifestyle risk behaviours. Between 2004 and 2019, the prevalence decreased for current smoking from 21.8% to 17.1%, insufficient physical activity from 39.1% to 30.9%, excessive alcohol consumption from 15.4% to 13.7%, daily SSB consumption from 29.9% to 21.2%, and overall high-risk lifestyle from 50.4% to 43.7%. Socioeconomic inequalities, based on one or more of the socioeconomic variables, increased over time for current smoking, insufficient physical activity, daily SSB consumption, and an overall high-risk lifestyle. Overall, the health behaviours of the NSW population improved between 2004 and 2019. However, some socioeconomic inequalities increased during this time, highlighting the need for effective public health strategies that seek to improve health behaviours among the most socioeconomically disadvantaged.

The evolving disparities in location and socioeconomics of an ageing Australian society.

It is well known that there are associations between overall health, age, socioeconomic status and rural residency. The objective of this study was to determine the distribution of Australia's aged population by socioeconomic status, as well as remoteness. The study employed the Australian Statistical Geography Standard (Statistical Area Level 1 and Remoteness Areas). The database of the geographic boundaries was integrated into the ageing population and socioeconomic data using the Geographic Information System. The socioeconomic data was analysed through the Index of Relative Socioeconomic Disadvantage. Over a decade, the older population in Australia has increased noticeably. In 2016, there was a high percentage of older people (≥65years) in Tasmania (Tas), 19%, while the lowest percentage was recorded in the Northern Territory (NT), 7%. Across the country, Tasmania had the highest percentage of older citizens living in the most disadvantaged areas since 2006, with 48% recorded in 2016. There was an association between the remoteness areas and the education and income levels of the ageing cohort. However, this association differed between the states and territories. This socioeconomic gap becomes more evident in the very remote areas of the country. The ageing population in Australia is increasing rapidly; this was associated with an evolving socioeconomic disparity among this ageing society. Our results demonstrated that socioeconomic inequalities were to be found among the older people based on their distribution over the remoteness areas in Australia. This information should be used to target healthcare and ageing policies that meet the specific needs of older people.

Long term all-cause and cardiovascular disease mortality among women who undergo fertility treatment.

To compare age-adjusted all-cause and CVD mortality, relative to the general female population, for women registered for fertility treatment who received it and those who did not. Prospective cohort study; analysis of Monash IVF clinical registries data, 1975-2018, linked with National Death Index mortality data. All women who registered for fertility treatment at Monash IVF (Melbourne, Victoria), 1 January 1975 - 1 January 2014, followed until 31 December 2018. Standardised mortality ratios (SMRs) for all-cause and CVD mortality, for women who did or did not undergo fertility treatment; SMRs stratified by area-level socio-economic disadvantage (SEIFA Index of Relative Socioeconomic Disadvantage [IRSD]) and (for women who underwent treatment), by stimulated cycle number and mean oocytes/cycle categories. Of 44 149 women registered for fertility treatment, 33 520 underwent treatment (66.4%), 10 629 did not. After adjustment for age, both all-cause (SMR, 0.58; 95% CI, 0.54-0.62) and CVD mortality (SMR, 0.41; 95% CI, 0.32-0.53) were lower than for the general female population. All-cause mortality was similar for women registered with Monash IVF who did (SMR, 0.55; 95% CI, 0.50-0.60) or did not undergo fertility treatment (SMR, 0.63; 95% CI, 0.56-0.70). The SMR was lowest for both treated and untreated women in the fifth IRSD quintile (least disadvantage), but the difference was statistically significant only for untreated women. CVD mortality was lower for registered women who underwent fertility treatment (SMR, 0.29; 95% CI, 0.19-0.43) than for those who did not (SMR, 0.58; 95% CI, 0.42-0.81). Fertility treatment does not increase long term all-cause or CVD mortality risk. Lower mortality among women registered for fertility treatment probably reflected their lower socio-economic disadvantage.

Flood Vulnerability Assessment and Mapping: A Case Study for Australia’s Hawkesbury-Nepean Catchment

Floods are one of the most destructive natural hazards to which Australia is exposed. The frequency of extreme rainfall events and consequential floods are projected to increase into the future as a result of anthropogenic climate change. This highlights the need for more holistic risk assessments of flood affected regions. Flood risk assessments (FRAs) are used to inform decision makers and stakeholders when creating mitigation and adaptation strategies for at-risk communities. When assessing flood risk, previous FRAs from Australia’s most flood prone regions were generally focused on the flood hazard itself, and rarely considering flood vulnerability (FV). This study assessed FV in one of Australia’s most flood prone regions—the Hawkesbury-Nepean catchment, and investigated indicator-based approaches as a proxy method for Australian FV assessment instead of hydrological modelling. Four indicators were selected with the intention of representing environmental and socio-economic characteristics: elevation, degree of slope, index of relative socio-economic disadvantage (IRSD), and hydrologic soil groups (HSGs). It was found that combination of low elevation, low degree of slope, low IRSD score, and very-low infiltration soils resulted in very high levels of vulnerability. FV was shown to be at its highest in the Hawkesbury-Nepean valley flood plain region on the outskirts of Greater Western Sydney, particularly in Blacktown, Penrith, and Liverpool. This actionable risk data which resulted from the final FV index supported the practicality and serviceability of the proxy indicator-based approach. The developed methodology for FV assessment is replicable and has the potential to help inform decision makers of flood-prone communities in Australia, particularly in data scarce areas.

Factors influencing diabetes-related foot ulcer healing in Australian adults: A prospective cohort study.

Diabetes-related foot ulceration (DFU) is a common limb-threatening condition, which is complex and subsequently challenging to manage. The aim of this study was to determine the contribution of a range of clinical and social factors to the healing of diabetes-related foot ulceration in an Australian population. This was a prospective cohort study of individuals with diabetes-related foot ulceration (DFU). Age, sex, medical history, medications, dietary supplementation (e.g. vitamin C intake) and smoking history were elicited at baseline. The index of relative socio-economic disadvantage (IRSD) was calculated. The Australian Eating Survey and International Physical Activity Questionnaire-short were administered. Wound history, size, grade, time to healing and infection were captured and monitored over 6 months. Logistic regression was performed to determine the relationship between healing and diet quality, toe systolic pressure, wound size at, IRSD, infection and previous amputation. A total of 117 participants were included. The majority were male n= 96 (82%), socio-economically disadvantaged (mean IRSD 965, SD 60), and obese (BMI 36 kg/m2 , SD 11) with a long history of diabetes (20 years, SD 11). Wounds were predominantly neuropathic (n= 85, 73%) and classified 1A (n= 63, 54%) on the University of Texas wound classification system with few infections (n= 23, 16%). Dietary supplementation was associated with 4.36 increased odds of healing (95% 1.28-14.84, p= 0.02), and greater levels of socio-economic advantage were also associated with increased odds of healing (OR 1.01, 95% CI 1.01-1.02, p= 0.03). In this cohort study of predominantly neuropathic, non-infected DFU, individuals who had greater levels of socio-economic advantage had significantly greater odds of DFU healing. Diet quality was poor in most participants, with individuals taking supplementation significantly more likely to heal.

Socioeconomic status of practice location and Australian GP registrars\u2019 training: a cross-sectional analysis

BackgroundSocioeconomic status (SES) is a major determinant of health. In Australia, areas of socioeconomic disadvantage are characterised by complex health needs and inequity in primary health care provision. General Practice (GP) registrars play an important role in addressing workforce needs, including equitable health care provision in areas of greater socioeconomic disadvantage.We aimed to characterize GP registrars’ practice location by level of socioeconomic disadvantage, and establish associations (of registrar, practice, patient characteristics, and registrars’ clinical behaviours) with GP registrars training being undertaken in areas of greater socioeconomic disadvantage.MethodsA cross-sectional analysis from the Registrars’ Clinical Encounters in Training (ReCEnT) study. ReCEnT is an ongoing, multi-centre, cohort study that documents 60 consecutive consultations by each GP registrar once in each of their three six-monthly training terms. The outcome factor was the practice location’s level of socioeconomic disadvantage, defined using the Index of Relative Socio-economic Disadvantage (SEIFA-IRSD). The odds of being in the lowest quintile was compared to the other four quintiles. Independent variables related to the registrar, patient, practice, and consultation.ResultsA total of 1,736 registrars contributed 241,945 consultations. Significant associations of training being in areas of most disadvantage included: the registrar being full-time, being in training term 1, being in the rural training pathway; patients being Aboriginal or Torres Strait Islander, or from a non-English-speaking background; and measures of continuity of care.ConclusionsTraining in areas of greater social disadvantage, as well as addressing community need, may provide GP registrars with richer learning opportunities.

The need for improved Australian data on social determinants of health inequities

The need for improved Australian data on social determinants of health inequities

Out-of-hospital cardiac arrests and bystander response by socioeconomic disadvantage in communities of New South Wales, Australia

Background & aimBystander response to out-of-hospital cardiac arrest (OHCA) may relate to area-level factors, including socioeconomic status (SES). We aimed to examine whether OHCA among individuals in more disadvantaged areas are less likely to receive bystander cardiopulmonary resuscitation (CPR) compared to those in more advantaged areas. MethodsWe analysed data on OHCAs in New South Wales, Australia collected prospectively through a statewide, population-based register. We excluded non-medical arrests; arrests witnessed by a paramedic; occurring in a medical centre, nursing home, police station; or airport, and among individuals with a Do-Not-Resuscitate order. Area-level SES for each arrest was defined using the Australian Bureau of Statistics’ Index of Relative Socioeconomic Disadvantage and its relationship to likelihood of receiving bystander CPR was examined using hierarchical logistic regression models. ResultsOverall, 39% (6622/16,914) of arrests received bystander CPR (71% of bystander-witnessed). The OHCA burden in disadvantaged areas was higher (age-standardised incidence 76–87/100,000/year in more disadvantaged quintiles 1–4 versus 52 per 100,000/year in most advantaged quintile 5). Bystander CPR rates were lower (38%) in the most disadvantaged quintile and highest (42%) in the most advantaged SES quintile. In adjusted models, younger age, being bystander-witnessed, arresting in a public location, and urban location were all associated with greater likelihood of receiving bystander CPR; however, the association between area-level SES and bystander CPR rate was not significant. ConclusionsThere are lower rates of bystander CPR in less advantaged areas, however after accounting for patient and location characteristics, area-level SES was not associated with bystander CPR. Concerted efforts to engage with communities to improve bystander CPR in novel ways could improve OHCA outcomes.

Socioeconomic disadvantage and the practice location of recently Fellowed Australian GPs: a cross-sectional analysis.

Socioeconomic disadvantage and the 'inverse care law' have significant effects on the health and well-being of Australians. Early career GPs can help address the needs of socioeconomically disadvantaged communities by choosing to practice in these locations. This study addressed an evidence gap around GPs post-Fellowship (within 2 years) practice location, and whether practice location is related to postgraduate vocational training. This was a cross-sectional questionnaire-based study of recently Fellowed GPs from New South Wales, the Australian Capital Territory, Victoria and Tasmania. Questionnaire items elicited information about participants' current practice, including location. Where consent was provided, participants' questionnaire responses were linked to previously collected vocational GP training data. The outcome factor in analyses was practice location socioeconomic status (SES): the four deciles of greater socioeconomic disadvantage versus locations with a higher SES. SES was classified according to the Socio-Economic Indexes for Areas - Index of Relative Socioeconomic Disadvantage. Multivariable logistic regression was undertaken. Of participants currently working in clinical general practice, 26% were practicing in the four deciles of greater socioeconomic disadvantage. Significant multivariable associations of working in these locations included having trained in a practice located in an area of greater socioeconomic disadvantage (odds ratio (OR) 3.14), and having worked at their current practice during vocational training (OR 2.99). Given the association of training and practice location for recently Fellowed GPs, policies focused on training location may help in addressing ongoing workforce issues faced by areas of higher socioeconomic disadvantage.

Measuring area-level disadvantage in Australia: development of a locally sensitive indicator

Background In Australia, the Socio-Economic Indexes for Areas (SEIFA), which includes the Index of Relative Socioeconomic Disadvantage (IRSD), captures the socioeconomic characteristics of areas. Because SEIFA rankings are relative to the country or state, the decile categorisations may not reflect an area’s socioeconomic standing relative to areas nearby.&#x0D; Aims The aim of the research was to explore whether IRSD rankings could be re-ranked to become locally sensitive.&#x0D; Data and methods Using existing SEIFA data to redistribute the membership of current decile IRSD groups, we tested three methods to re-rank all SA1 areas relative to the nearest areas capped at: (1) the nearest 99 neighbours, (2) a population threshold of 50,000 (3) a distance threshold of 10 km.&#x0D; Results The reclassification of SEIFA IRSD deciles was largest (up to 8 decile points of change) when comparing the nearest neighbour and population threshold local methods to current state-based rankings. Moreover, compared to using current national and state SEIFA IRSD rankings, the use of local rankings resulted in more evenly distributed deciles between cities, regional, and remote areas.&#x0D; Conclusions Because SEIFA IRSD rankings are used to allocate resources and health services, we encourage the combined use of a state and local ranking to refine areas considered the most disadvantaged.