Index Of Relative Socio-economic Advantage And Disadvantage Research Articles

The influence of socioeconomic disadvantage on short- and long-term outcomes after oesophagectomy for cancer: an Australian multicentre study.

Socioeconomic status (SES) affects outcomes following surgery for various cancers. There are currently no Australian studies that examine the role of socioeconomic disadvantage on outcomes following oesophagectomy for cancer. This study assessed whether SES was associated with short-term perioperative morbidity, long-term survival, and oncological outcomes following oesophagectomy across three tertiary oesophageal cancer centres in Australia. A retrospective cohort study was performed comprising all patients who underwent oesophagectomy for cancer across three Australian centres. Patients were stratified into SES groups using the Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD). Outcomes measured included perioperative complication rates, overall survival, and disease-free survival. The study cohort was 462 patients, 205 in the lower SES and 257 in the higher SES groups. The lower SES group presented with more advanced oesophageal cancer stage, a higher rate of T3 (52.6% versus 42.7%, P = 0.038) and N2 disease (19.6% versus 10.5%, P = 0.006), and had a higher rate of readmission within 30 days (11.2% versus 5.4%, P = 0.023). There was no difference in overall survival or disease-free survival between groups. Lower socioeconomic status was associated with more advanced stage and increased risk of early, unplanned readmission following oesophagectomy, but was not associated with a difference in overall or disease-free survival.

Regional access to a centralized extracorporeal membrane oxygenation (ECMO) service in Victoria, Australia

IntroductionVictoria, Australia provides a centralised state ECMO service, supported by ambulance retrieval. Equity of access to this service has not been previously described. ObjectiveDescribe the characteristics of ECMO recipients and quantify geographical and socioeconomic influence on access. DesignRetrospective observational study with spatial mapping. Participants and settingAdult (≥18 years) ECMO recipients from July 2016–June 2022. Data from administrative Victorian Admissions Episodes Database analysed in conjunction with Australian Urban Research Infrastructure Network population data and choropleth mapping. Presumed ECMO modes were inferred from cardiopulmonary bypass and pre-hospital cardiac arrest codes. Spatial autoregressive models including Moran's test used for spatial lag testing. OutcomesDemographics and outcomes of ECMO recipients; ECMO incidence by patient residence (Statistical-Area Level 2, SA-2) and Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD); and ECMO utilisation adjusted for patient factors and linear distance from the central ECMO referral site. Results631 adults received ECMO over 6 years, after exclusion of paediatric (n = 242), duplicate (n = 135), and interstate or incomplete (n = 72) records. Mean age was 51.8 years, and 68.8 % were male. Overall ECMO incidence was 3.00 ± 3.95 per 105 population. 135 (21.4 %) were presumed VA-ECMO, 59 (9.3 %) presumed ECPR, and 437 (69.3 %) presumed VV-ECMO. Spatial lag was non-significant after adjusting for patient characteristics. Distance from the central referral site (dy/dx = 0.19, 95% CI −0.41–0.04, p = 0.105) and IRSAD score (dy/dx = 0.17, 95% CI −0.19–0.53, p = 0.359) did not predict ECMO utilisation. ConclusionVictorian ECMO incidence rates were low. We did not find evidence of inequity of access to ECMO irrespective of regional area or socioeconomic status.

Cardiac rehabilitation reduces risk of overall mortality within 12 months after a heart failure hospitalization: data linkage analysis of 9,023 patients in Australia

Abstract Background Meta-analyses of randomized trials show that cardiac rehabilitation (CR) prevents cardiovascular (CV) and heart failure (HF)-specific hospitalizations. However, globally only 30-50% of eligible patients participate in CR which might affect CR effectiveness. Purpose To investigate CR utilization and clinical outcomes after an admission for HF. Methods This is a retrospective cohort study of patients >=18 years old discharged from public hospitals in South Australia with a diagnosis of HF from 2016-2021. We linked the statewide clinical CR database to hospital administrative and death databases to assess CR utilization (non-attendance vs attendance without completion vs completion of >= 70% of the sessions), the composite primary outcome (CV re-admission or CV death within 12 months after the index hospitalization) and the secondary outcome (all-cause death within 12 months after the index hospitalization). To investigate factors associated with not attending CR, we adjusted a logistic model by age, sex, Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD), remoteness; admission during the COVID pandemic, acute myocardial infarction (MI), procedures, arrhythmias, Charlson comorbidities index, history of diabetes, hypertension, obesity, prior stroke, and peripheral vascular disease. To investigate the association of the primary and secondary outcomes with CR utilization, we adjusted Cox survival models by age; sex; IRSAD; remoteness; ACS; revascularization, valve and implantable devices procedures; AF; other arrhythmias; Charlson comorbidities index; history of diabetes, hypertension, obesity, prior stroke and peripheral vascular disease; remoteness. Results Of the 9023 eligible separations (52.0% male with mean age 77, SD 13.8 years), 8572 (95%) did not attend CR. Among the 451 patients commencing CR, 352 (78.0%) completed it. CABG (118; 1.3%), PCI (252; 2.8%), diabetes (3031; 33.6%), hypertension (1332; 14.8%) and MI (607; 6.7%) were common diagnoses. Women (OR1.62; 95%CI 1.31-2.02); and older age (OR1.03; 95%CI 1.02-1.04) were associated with a higher risk of not attending CR. Within 12 months of the index hospitalization, there were 4056 (45.0%) CV readmissions/CV deaths and 3486 (38.6%) deaths. After adjustment for demographic, clinical and social factors, CR attendance without completion (p=0.60) or completion (p=0.43) was not associated with CV readmission/CV death. The risk of all-cause death was lower in the groups attending without completing (HR 0.57; 95%CI 0.36-0.91; p=0.02) and completing CR (HR 0.52; 95%CI 0.39-0.71; p=0.02) compared to those not attending CR (Figure 1). Conclusion CR attendance and completion reduces the risk of death within 12 months after a HF hospitalization. Strategies focusing on increasing CR participation should target women and older people who are less likely to attend. A limitation of this study is that we could not control for the utilization of HF-specialist clinics.Survival within 12 months

Social, Geographical and Income Inequality as Demonstrated by the Coronary Calcium Score: An Ecological Study in Sydney, Australia

The coronary calcium score is a non-invasive biomarker of coronary artery disease. The concept of "arterial age" transforms the coronary calcium score to an expected age based on the degree of coronary atherosclerosis. This study aimed to investigate the relationship of socioeconomic status with the burden of coronary artery disease within Sydney, Australia. This was an ecological study at the postcode level of patients aged 45 and above who had completed a CT coronary calcium scan within New South Wales (NSW), Australia from January 2012 to December 2020. Arterial age difference was calculated as arterial age minus chronological age. Socioeconomic data was obtained for median income, Index of Relative Socio-economic Advantage and Disadvantage (IRSAD) score and median property price. Linear regression was used for analysis. There were 17,102 patients across 325 postcodes within NSW, comprising 9129 males with a median arterial age difference of 7 years and 7972 females with -9 years. Income, IRSAD score and property price each had an inverse relationship with arterial age difference (p-values < 0.05). Income, socioeconomic status and local property prices are significantly correlated with premature coronary aging. Healthcare resource allocation and prevention should target the inequalities identified to reduce the burden of coronary artery disease.

Distance and Socieoeconomic Status as Barriers to Cochlear Implantation.

To assess the distance burden for access to cochlear implant (CI)-related services and to assess whether socioeconomic disadvantage or level of education and occupation influenced uptake of CIs. Retrospective case review. A CI services provider operating across multiple centers. All patients undergoing CI surgery in a 2-year period between March 2018 and February 2020. Diagnosis of hearing loss, CI surgery, and subsequent habilitation and mapping. Distance traveled by patients to their audiological diagnostic, CI surgery hospital, and habilitation sites; subjects' index of relative socioeconomic advantage and disadvantage (IRSAD) and index of education and occupation (IEO). n = 201 children and n = 623 adults. There was a significant difference across IRSAD domains for children (p < 0.0001) and adults (p < 0.0001), and IEO in children (p = 0.015) and adults (p < 0.0001) when tested for equal proportions. The median driving distance from home to the diagnostic audiological site for children was 20 km (mean, 69 km; range, 1-1184 km; upper quartile, 79 km; lower quartile, 8 km). There was no significant difference between the driving distances from home to the CI surgery hospital site, or the mapping/habilitation sites between children and adults. There was no correlation for age at first surgery and either IRSAD/IEO. The burden of distance for access to CI in Australia is significant for the upper quartile who may not live within the large city centers. Greater consideration needs to be given regarding barriers to CI for those in lower socioeconomic and educational groups to ensure equity of access across different socioeconomic and educational level backgrounds.

Association of Neighborhood-Level Socioeconomic Measures With Cognition and Dementia Risk in Australian Adults

Up to 40% of dementia cases are potentially preventable; therefore, it is important to identify high-risk groups to whom resources could be targeted for maximal impact in preventing late-life dementia. The association of neighborhood-level socioeconomic status (SES) with cognition and dementia risk is not well known, particularly in midlife when late-life dementia may still be preventable through established interventions, such as blood pressure management. To examine whether neighborhood-level SES is associated with differences in cognitive performance and dementia risk scores. This cross-sectional study analyzed data collected between November 17, 2016, and April 14, 2020, from 4656 participants in the longitudinal population-based Healthy Brain Project cohort. This large online cohort comprised community-dwelling individuals geographically dispersed across Australia. Participants were aged 40 to 70 years without dementia or other major neurological conditions. Neighborhood-level SES was computed by matching participants' residential addresses to the Australian Bureau of Statistics Index of Relative Socio-economic Advantage and Disadvantage (IRSAD). Postcodes provided by each participant were used to derive an IRSAD score that ranked participants according to deciles of neighborhood-level SES (range, 1-10, with higher deciles indicating greater socioeconomic advantage); neighborhoods in deciles 1 to 7 were considered to have low or intermediate SES, and neighborhoods in deciles 8 to 10 were considered to have high SES. Dementia risk estimated using the dementia risk score from the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) tool (n = 4656) and cognitive composite scores for memory and attention measured by the Cogstate Brief Battery (n = 2181). Of 4656 participants (mean [SD] age, 56.1 [7.2] years; 3445 women [74.0%]), 2688 individuals (57.7%) lived in areas with high neighborhood-level SES (IRSAD decile ≥8), and 1968 (42.3%) lived in areas with low or intermediate neighborhood-level SES (IRSAD decile <8), with 1263 individuals (27.1%) residing in rural or regional areas. A total of 6 participants (0.1%) identified as African, 121 (2.6%) as Asian, 57 (1.2%) as Indigenous Australian, 24 (0.5%) as Latin American, 9 (0.2%) as Pacific Islander, 3671 (78.8%) as White or European, and 768 (16.5%) indicated other race (not specified). Each decile unit increase in neighborhood-level SES was associated with a lower CAIDE dementia risk score after adjustment for race and rurality (β [SE] = -0.070 [0.019]; P = .004). Each decile unit increase was also associated with better memory (β [SE] = 0.022 [0.006]; P = .006) but not with better attention (β [SE] = 0.009 [0.007]; P = .34), as measured by Cogstate Brief Battery composite z scores after adjustment for age, sex, race, years of education, and rurality. When comparing memory performance between individuals with IRSAD scores higher and lower than decile 8, neighborhood-level SES interacted with age (F1-2171 = 6.33; P = .02) and CAIDE dementia risk scores (F1-2173 = 4.02; P = .08). Differences in memory between neighborhood-level SES categories were larger among participants who were older and had a higher risk of dementia. In this study, higher neighborhood-level SES was associated with better memory and lower dementia risk scores. These results suggest that efforts to lower dementia risk factors in disadvantaged areas are needed to curtail the increasing burden of dementia and that inclusion of individuals living in areas with lower SES in research on dementia is warranted to improve understanding and potential interventions.

Association between socioeconomic status and joint replacement of the hip and knee: a population-based cohort study of older adults in Tasmania.

A socioeconomic gradient exists in the utilisation of total hip replacements (THR) and total knee replacements (TKR) for osteoarthritis. However, the relations between socioeconomic status (SES) and time to THR or TKR is unknown. To describe the association between SES and time to THR and TKR. One thousand and seventy-two older adults residing in Tasmania, Australia, were studied. Incident primary THR and TKR were determined by data linkage to the Australian Orthopaedic Association National Joint Replacement Registry. At baseline, each participant's area-level SES was determined using the Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD) from the Australian Bureau of Statistics' 2001 census data. The IRSAD was analysed in two ways: (i) categorised into quartiles, whereby quartile 1 represented the most socioeconomically disadvantaged group; and (ii) the cohort dichotomised at the quartile 1 cut-point. The mean age was 63.0 (±7.5) years and 51% were women. Over the median follow up of 12.9 (interquartile range: 12.2-13.9) years, 56 (5%) participants had a THR and 79 (7%) had a TKR. Compared with the most disadvantaged quartile, less disadvantaged participants were less likely to have a THR (i.e. less disadvantaged participants had a longer time to THR; hazard ratio (HR): 0.56; 95% confidence interval (CI) 0.32, 1.00) but not TKR (HR: 0.90; 95% CI 0.53, 1.54). However, the former became non-significant after adjustment for pain and radiographic osteoarthritis, suggesting that the associations may be mediated by these factors. The present study suggests that time to joint replacement was determined according to the symptoms/need of the participants rather than their SES.

Frailty associations with socioeconomic status, healthcare utilisation and quality of life among older women residing in regional Australia.

Objectives:The health and well-being of older women may be influenced by frailty and low socioeconomic status (SES). This study examined the association between frailty and SES, healthcare utilisation and quality of life (QOL) among older women in regional Australia.Methods:Cross-sectional analysis of the Geelong Osteoporosis Study was conducted on 360 women (ages ≥60yr) in the 15-year follow up. Frailty was identified using modified Fried’s phenotype. Individual SES measures and healthcare utilisation were documented by questionnaire. Area-based SES was determined by cross-referencing residential addresses with the Australian Bureau of Statistics Index of Relative Socio-economic Advantage and Disadvantage (IRSAD). QOL was measured using the Australian World Health Organisation Quality of Life Instrument (WHOQoL-Bref). Multinomial logistic regression was conducted with frailty groupings as outcome.Results:Sixty-two (17.2%) participants were frail, 199 (55.3%) pre-frail and 99 (27.5%) robust. Frail participants were older with higher body mass index. Frailty was associated with lower education but not marital status, occupation or IRSAD. Strong associations with frailty were demonstrated for all WHOQoL-Bref domains. Frailty was associated with more primary care doctor visits (p<0.001).Conclusions:This population-based study highlights the significant impact of frailty on older women, indicating reduced QOL and increased primary care doctor visits.

Association of neighborhood‐level socioeconomic advantage with cognition and dementia risk factors in an Australian cohort

AbstractBackgroundResiding in areas of low socioeconomic advantage is associated with increased risk of dementia1 and associated brain pathology2,3. Given the long and insidious course of dementia pathologies, it is critical to establish the effect of ‘exposomic’ risk factors in midlife and to understand which groups of people are particularly vulnerable. Therefore, the objective of this study was to examine whether cognitive performance or dementia risk factors differed according to neighborhood‐level socioeconomic advantage in cognitively normal middle‐aged people.MethodsOur sample comprised 4798 participants from the Healthy Brain Project, an online cohort of community‐dwelling Australians aged 40‐70 years. Socioeconomic advantage was computed by matching participants’ residential address to the Australian Bureau of Statistics’ Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD), assigning each participant a decile score (10 being the most advantaged). Scores were related to dementia risk estimated using the CAIDE dementia risk score and cognitive performance measured with the Cogstate Brief Battery (CBB) in linear regression models.ResultsOf the 4798 participants (mean age±SD 56±7 years, 26% male), 2762 (58%) were classified as living within an area of high neighbourhood socioeconomic advantage (IRSAD scores ≥ 8th decile), 1296 resided in rural or regional areas (27%), and 984 identified as “non‐European” (21%). Each decile unit increase in neighborhood socioeconomic advantage was associated with a lower CAIDE dementia risk score (β±SE= ‐0.088±0.024, p &lt;0.001), following adjustments for race and rurality, and with better memory performance (β±SE= 0.084±0.024, p &lt;0.001), following adjustments for age, sex, race, education, and rurality. An interaction was observed with differences in memory performance between levels of neighborhood advantage (comparing scores above and below the 8th decile) being larger at older ages and in people with higher dementia risk scores (Figure 1). There was no association between neighborhood‐level advantage and attention.ConclusionsIn a middle‐aged Australian cohort, higher neighborhood‐level socioeconomic advantage was associated with superior memory and lower dementia risk scores. Efforts to lower dementia risk factors, particularly in relation to reducing the negative impacts of disadvantage, are needed to curtail the growing burden of dementia.

Estimating income-related and area-based inequalities in mental health among nationally representative adolescents in Australia: The concentration index approach.

Despite the awareness of the importance of mental health problems among adolescents in developed countries like Australia, inequality has not been widely researched. This study, is therefore, aimed to measure and compare household income-related and area-based socioeconomic inequalities in mental health problems (bullying victimization, mental disorders–single and multiple, self-harm and suicidality–ideation, plan and attempt) among Australian adolescents aged 12–17 years. Young Minds Matter (YMM)—the 2nd national cross-sectional mental health and well-being survey involving Australian children and adolescents conducted in 2013–14, was used in this study to select data for adolescents aged 12–17 years (n = 2521). Outcome variables included: bullying, mental disorders, self-harm, and suicidal ideation, plan and attempt. The Erreygers’s corrected concentration index (CI) approach was used to measure the socioeconomic inequalities in mental health problems using two separate rank variables–equivalised household income quintiles and area-based Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD) quintiles. The prevalence of mental health problems in the previous 12-months among these study participants were: bullying victimization (31.1%, 95% CI: 29%-33%), mental disorder (22.9%, 95% CI: 21%-24%), self-harm (9.1%, 95% CI: 8%-10%), suicidal ideation (8.5%, 95% CI: 7%-10%), suicidal plan (5.9%, 95% CI: 5%-7%) and suicidal attempt (2.8%, 95% CI: 2%-3%). The concentration indices (CIs) were statistically significant for bullying victimization (CI = -0.049, p = 0.020), multiple mental disorders (CI = -0.088, p = <0.001), suicidal ideation (CI = -0.023, p = 0.047) and suicidal attempt (CI = -0.021, p = 0.002), implying pro-poor socioeconomic inequalities based on equivalized household income quintiles. Similar findings revealed when adolescents mental health inequalities calculated on the basis of area based IRSAD (Index of Relative Socio-economic Advantage and Disadvantage) quintiles. Overall, adolescents from economically worse-off families experienced more mental health-related problems compared to those from economically better-off families. This has implications for prevention strategies and government policy in order to promote mental health and provide equitable healthcare facility.

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Mapping geographical disparities in population-level patient-reported quality of life following prostate cancer management.

e18531 Background: Prostate cancer patients generally have good survival outcomes, but some survivors have poor functional outcomes with persisting symptoms and poor quality of life (QoL). Socio-economic status (SES), access to specialist care and place of residence (including rural, remote areas) are associated with poor survival. These variables may also impact survivorship outcomes, including QoL. This study aimed to identify and visualise geographical disparities in QoL outcomes for prostate cancer survivors. Methods: We extracted complete data for 7690 patients, including patient-reported EPIC-26 QoL questionnaire results (12 months post-treatment), from the Prostate Cancer Outcomes Registry–Victoria (PCOR-VIC), a population-based clinical quality outcomes registry. Patient-matched geographic coordinates were obtained through the Victorian Cancer Registry. Scores from each of the 5 EPIC-26 functional domains were visualised using geospatial maps and correlated to the Index of Relative Socio-economic Advantage and Disadvantage (IRSAD) and geographical remoteness. A composite score condensing all 5 domains into a single number (range 5 – 20) was created for succinct visualisation of functional outcomes. We analysed hotspots using the Getis-Ord Gi* statistic. Results: Scores in all 5 functional domains were positively correlated to IRSAD, which remained an independent predictor of low functional score when controlling for age, disease stage, treatment modality and geographical remoteness (p &lt; 0.001 for all). Geographical remoteness predicted low functional score in all domains (p &lt; 0.05) except Urinary Irritative but was not statistically significant when adjusted for IRSAD. The constructed composite score was significantly correlated to IRSAD and remoteness in a univariate model (p &lt; 0.001). In a multivariate model, remoteness was not an independent predictor of outcome, but the composite score rose by 0.13 for each IRSAD decile (p &lt; 0.001), with patients in the bottom decile of IRSAD more likely to have composite scores below median ( &lt; 14) than those in the top decile (OR 1.8 CI 1.4-2.2 p &lt; 0.001). The composite score allowed visualisation of functional outcomes in a single figure and identification of geographic hotspots with poor outcome. Conclusions: Systematic collection of long-term patient-reported outcomes is feasible. Geographical disparities in QoL outcome following prostate cancer treatment correlated with SES and remoteness, and we note the relative importance of SES over remoteness. A single composite score for EPIC-26 showed face-validity. Our results will allow targeted efforts to further understand the drivers of these findings and improve equity in survivorship outcomes for prostate cancer survivors. The methods developed in this study can be extended and re-deployed to evaluate outcomes in other jurisdictions and cancer types.

Exploring the Impact of Remoteness and Socio-Economic Status on Child and Adolescent Injury-Related Mortality in Australia

Injuries are a leading cause of harm for children. This study explores the impact of determinants of health on children (0–19 years) injury-related mortality (namely remoteness and socio-economic disadvantage, calculated using the index of relative socio-economic advantage and disadvantage (IRSAD)). Cause of death data from the Australian Bureau of Statistics were sourced for children in Australia between 1 July 2007 to 30 June 2017. Fifteen injury categories (ICD-10-AM external cause codes) were used. Burden and trends by injury mechanism were explored. A total of 5153 children died; with road traffic incidents (3.39 per 100,000 population), intentional self-harm (2.46) and drowning (0.72) being the leading mechanisms. Female fatality rates in very remote areas (8.73) were nine times higher than in major cities (Relative Risk [RR] = 8.73; 95% Confidence Interval [95% CI]: 4.23–18.00). Fatality rates increased with remoteness; very remote areas recording an injury-related fatality rated six times (RR = 5.84; 95% CI: 3.76–9.12) that of major city residents. Accidental poisoning and intentional self-harm fatalities were more likely in high IRSAD areas, while road traffic fatalities were more likely in low and mid socio-economic areas (X2 = 69.1; p < 0.001). People residing in regional and remote areas and from low socio-economic backgrounds already face significant health and lifestyle challenges associated with disadvantage. It is time to invest in injury prevention interventions for these populations, as well as upstream policy strategies to minimize any further preventable loss of life.

Winter temperature and myocardial infarction in Brisbane, Australia: Spatial and temporal analyses.

Myocardial infarction (MI) incidence often peaks in winter, but it remains unclear how winter temperature affects MI temporally and spatially. We examined the short-term effects of winter temperature on the risk of MI and explored spatial associations of winter MI hospitalizations with temperature and socioeconomic status (area-based index) in Brisbane, Australia. We used a distributed lag non-linear model to fit the association at the city level between population-weighted daily mean temperature and daily MI hospitalizations during 11 winters of 2005-2015. For each winter, a Bayesian spatial conditional autoregressive model was fitted to examine the associations at postal code level of MI hospitalisations with temperature and socioeconomic status measured as the Index of Relative Socio-Economic Advantage and Disadvantage (IRSAD). Area-specific winter temperature was categorised into three levels: cold (<25th percentile of average winter temperature across postal areas), mild (25th-75th percentile) and warm (>75th percentile). This study included 4978 MI hospitalizations. At the city level, each 1°C drop in temperature below a threshold of 15.6°C was associated with a relative risk (RR) of 1.016 (95% confidence interval (CI): 1.008-1.024) for MI hospitalizations on the same day. Low temperature had a much delayed and transient effect on women but an immediate and longer-lasting effect on men. Winter MI incidence rate varied spatially in Brisbane, with a higher incidence rate in warmer areas (RR for mild areas: 1.214, 95%CI: 1.116-1.320; RR for warm areas: 1.251, 95%CI: 1.127-1.389; cold areas as the reference) and in areas with lower socioeconomic levels (RR: 0.900, 95%CI: 0.886-0.914 for each decile increase in IRSAD). This study provides compelling evidence that short-term winter temperature drops were associated with an elevated risk of MI in the subtropical region with a mild winter. Particular attention also needs to be paid to people living in relatively warm and socioeconomically disadvantaged communities in winter.

How does the duration of consults vary for upper respiratory tract infections in general practice where an antibiotic has been prescribed?

There is limited data on the duration of consults resulting in the prescription of antibiotics for upper respiratory tract infections (URTIs) in general practice. To explore how demographic factors influence consult duration where antibiotics have been prescribed for URTI in Australian general practice. 2985 URTI-specific presentations were identified from a national study of patients who were prescribed an antibiotic after presenting to general practice between June and September 2017. Consult duration was analysed to assess for any variation in visit length based on demographic factors. The overall median consult duration was 11.42 minutes [interquartile range (IQR) 7.95]. Longer consult duration was associated with areas of highest socio-economic advantage where patients living in postcodes of Index of Relative Socio-economic Advantage and Disadvantage (IRSAD) Quintile 5 (highest 20% on the IRSAD) had significantly longer consults [median 13.12 (IQR 8.01)] than all other quintiles (P < 0.001). Females [11.75 (IQR 8.13)] had significantly longer consults than males [10.87 (IQR 7.57); P < 0.001]. Clinics based in State C and State F had significantly shorter consults when compared with all other included states and territories (P < 0.001) and shorter consult duration was associated with visits on Sundays [median 8.18 (IQR 5.04)]. There is evidence for the association of demographic and temporal factors with the duration of consultations for URTIs where an antibiotic has been prescribed. These factors warrant further research.

Modifiable Factors Explain Socioeconomic Inequalities in Children’s Dental Caries

The aim of this article was to quantify socioeconomic inequalities in dental caries experience among Australian children and to identify factors that explain area-level socioeconomic inequalities in children’s dental caries. We used data from the National Child Oral Health Survey conducted in Australia between 2012 and 2014 (n = 24,664). Absolute and relative indices of socioeconomic inequalities in the dental caries experience in primary and permanent dentition (decayed, missing, and filled surfaces [dmfs] and DMFS, respectively) were estimated. In the first stage, we conducted multilevel negative binomial regressions to test the association between area-level Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD) and dental caries experience (dmfs for 5- to 8-y-olds and DMFS for 9- to 14-y-olds) after adjustment for water fluoridation status, sociodemographics, oral health behaviors, pattern of dental visits, and sugar consumption. In the second stage, we performed Blinder-Oaxaca and Neumark decomposition analyses to identify factors that explain most of the area-level socioeconomic inequalities in dental caries. Children had a mean dmfs of 3.14 and a mean DMFS of 0.98 surfaces. Children living in the most disadvantaged and intermediately disadvantaged areas had 1.96 (95% confidence interval, 1.69–2.27) and 1.45 (1.26–1.68) times higher mean dmfs and 1.53 (1.36–1.72) and 1.43 (1.27–1.60) times higher mean DMFS than those living in the most advantaged areas, respectively. Water fluoridation status (33.6%), sugar consumption (22.1%), parental educational level (14.2%), and dental visit patterns (12.7%) were the main factors explaining area-level socioeconomic inequalities in dental caries in permanent dentition. Among all the factors considered, the factors that contributed most in explaining inequalities in primary dental caries were dental visits (30.3%), sugar consumption (20.7%), household income (20.0%), and water fluoridation status (15.9%). The inverse area-level socioeconomic inequality in dental caries was mainly explained by modifiable risk factors, such as lack of fluoridated water, high sugar consumption, and an unfavorable pattern of dental visits.

The Impact of Cardiac Rehabilitation and Secondary Prevention Programs on 12-Month Clinical Outcomes: A Linked Data Analysis

Guidelines recommend referral to cardiac rehabilitation (CR) for cardiac event prevention and risk factor management, but poor attendance persists. Following the development of standardised data and uniform capture, CR services have contributed to three audits in South Australia, Australia. We aimed to determine if CR attendance impacts on cardiovascular readmission, morbidity and mortality. In a retrospective cohort study, CR databases were linked to hospital administrative datasets to compare the characteristics and outcomes of CR patients between 2013 and 2015. Inverse probability weighting methods were used to measure associations between CR attendance versus non-attendance and cardiovascular readmission and the composite of death, new/re-myocardial infarction, atrial fibrillation, heart failure and stroke within 12-months. Of 49,909 eligible separations, 15,089/49,909 (30.2%) were referred to CR with an attendance rate of 4,286/15,089 (28.4%). Referred/declined patients were older (median: 67.3 vs 65.3 years, p < 0.001), more likely to be female (32.3% vs 26.5%, p < 0.001) with more heart failure (17.1% vs 10.9%, p < 0.001) and arrhythmia (6.1% vs 2.1%, p < 0.001) admissions and higher socio-economic disadvantage (median Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD): 950.1 vs 960.4, p < 0.001). Referred/attended patients had lower cardiovascular readmission, (referred/attended vs not referred: 15.6% vs 22.7% and referred/attended vs referred/declined: 15.6% vs 29.6%, p < 0.001). After clinical and social factors adjustment there was no difference in composite outcomes, but attendance was associated with reduced cardiovascular readmission (HR:0.68, 95% IQR: 0.58-0.81, p = 0.001). Audit can measure service effectiveness, identifying areas for improvement. This study highlights patient eligibility, system and program considerations for future CR services.

Prenatal diagnosis and socioeconomic status in the non-invasive prenatal testing era: A population-based study.

Advances in technology can bring great benefits to human health, but their implementation may be influenced by socioeconomic factors, particularly in the field of prenatal screening for Down syndrome. To analyse screening test indications for, and diagnostic yield of, invasive prenatal diagnostic testing (PNDx) according to socioeconomic status. Retrospective analysis of population-based data on PNDx and karyotype results for 2014-2015 in the Australian state of Victoria. Women having PNDx<25weeks due to combined first trimester screening (CFTS), second trimester serum screening (STSS), or noninvasive prenatal testing (NIPT) results were included. PNDx data were analysed by indication and maternal Index of Relative Socio-economic Advantage and Disadvantage (IRSAD), the latter determined by postcode. There were 145206 births in 2014-2015; 1906 women underwent PNDx for the indication of CFTS (70.1%), NIPT (17.8%) or STSS (12.0%). Covariates positively associated with NIPT-indicated PNDx, compared with CFTS-indicated testing, were residence in a region of socioeconomic advantage, metropolitan status and maternal age. Women from the most advantaged regions had higher adjusted odds ratios (aOR) of NIPT-indicated testing compared with women from disadvantaged regions (aOR 5.72, 95% CI: 2.95-11.09). The diagnostic yield of PNDx increased with socioeconomic region, from 14% in the lowest IRSAD quintile to 31.2% in the highest (P<0.0001). Population-based data reveal significant disparities in screening indications for PNDx and hence, in diagnostic yield, according to socioeconomic region. This finding may have ethical and policy implications for prenatal screening in Australia.

Geographic and socioeconomic factors in patients with malignant pleural mesothelioma in New South Wales and their impact upon clinical outcomes.

Whilst the impact of clinicopathological factors on the prognosis of malignant pleural mesothelioma (MPM) is well understood, socioeconomic and geographic factors have received less attention. We analysed the relationship between geographic and socioeconomic factors upon survival and treatment provision in a large series of patients with MPM. We assessed MPM patients awarded compensation between 2002 and 2009 with additional MPM incidence data from the New South Wales (NSW) Cancer Registry. The impact of geographic remoteness, distance from oncological multidisciplinary team (MDT) and Index of Relative Socioeconomic Advantage and Disadvantage (IRSAD) upon survival, clinical features and treatment received was analysed. We identified 910 patients (67% residing in major cities; 92% <50 km from MDT). Median overall survival was 10.0 months. On multivariate analysis, age >70 (hazard ratio (HR) = 1.39), male gender (HR =1.36), non-epithelioid histological subtype (HR = 2.18) and IRSAD status by decreasing quintile (HR = 1.06) were independent prognostic factors. There was no significant advantage for patients residing in major cities (10.6 months vs 8.8 months; P = 0.162) or within 50 km of MDT (10.3 months vs 7.8 months; P = 0.539). Patient's geographic location and distance to MDT did not impact chemotherapy, adjuvant radiotherapy or extrapleural pneumonectomy provision. Socioeconomically disadvantaged patients were significantly less likely to receive chemotherapy (37.4% vs 54.8%; P = 0.001). This study provides evidence for differences in the treatment and survival according to socioeconomic status for compensated MPM patients in NSW. Further research is warranted to seek additional explanations for the differences noted by comparing the treatments and outcomes of compensated and non-compensated MPM patients in NSW.

P3.03-033 The Influence of Geographic and Socioeconomic Factors on Prognosis and Treatment Provision in Malignant Pleural Mesothelioma: Topic: Mesothelioma Clinical

Whilst the impact of clinico-pathological factors on the prognosis of malignant pleural mesothelioma (MPM) is well understood, socio-economic and geographic factors have received less attention. Although the majority of Australians reside in major cities, a dispersed population lives in regional and remote areas, where access to clinical services may be limited. We investigated the association between geographic and socio-economic factors and treatment provision and survival in a large series of patients from New South Wales. All patients awarded compensation by the NSW Dust Diseases Board (2002–2009) following diagnosis with MPM were assessed. Geographic remoteness, distance from oncological multidisciplinary teams (MDT) and socioeconomic status according to the index of relative socio-economic advantage and disadvantage (IRSAD), were assessed with known prognostic factors using Kaplan Meir and Cox-regression analysis. Chi-square testing compared categorical variables to analyse the impact of these factors upon clinical features and treatment received. Cancer Registry incidence data was assessed to allow comparison of the compensated DDB cohort to all NSW MPM cases. We assessed 910 patients: Geographic remoteness (major city 67%; regional/remote 33%), distance to MDT (<10km 65%, <50km 92%). Geographic distribution was comparable to cancer registry data. Median overall survival was 10.0 months. On multivariate analysis, non-epithelioid histological subtype (HR.2.19); male gender (HR=1.37); age >70 (HR=1.39) and IRSAD status by decreasing quintile (HR=1.07) were independent prognostic factors, with a pronounced survival difference between highest and lowest IRSAD quintiles (8.4 vs 12.8 months). A trend to improved survival when residing in major cities (10.6 vs 8.8 months; p=0.162) and within 50km of MDT (10.3 vs 7.8 months;p=0.539) was noted. Patients geographic location and distance to MDT affected the use of palliative radiotherapy (p<0.05) however did not impact chemotherapy, adjuvant radiotherapy or extrapleural pneumonectomy provision. Socioeconomically disadvantaged patients were less likely to receive chemotherapy (40.3% vs 47.7%; p=0.032), with pronounced disparity between the most socioeconomically advantaged and disadvantaged quintiles (54.2% vs 37.6%;p=0.001). Despite ‘universal’ health care and the support of a compensation scheme, socioeconomic disadvantage was an independent prognostic factor for MPM in NSW Australia. A significant reduction in chemotherapy utilization was noted, particularly in highly socioeconomically deprived areas. Furthermore, a trend to improved survival was noted in patients residing in major cities within closer proximity to oncology units, though treatment provision did not differ. Prospective research analyzing specific factors including comorbidity, income, and individual preference will be required to better understand these findings in both compensated and non-compensated individuals.