Deprived Quintile Research Articles

Raise the Flag II: sepsis mortality before and after the introduction of a whole-of-system quality improvement programme at a tertiary hospital in New Zealand.

To study in-patient mortality before and after the introduction of a whole-of-system sepsis quality improvement programme at a tertiary hospital in New Zealand. The "Raise the Flag" sepsis quality improvement programme was launched in 2018. Discharge coding data were used to identify sepsis cases between May 2015 and July 2021. Of 4,268 cases of sepsis identified, 81% were over 55 years old, 34% were of Māori or Pacific Island ethnicity, 61% had significant co-morbid illness and over two thirds (68%) lived in the two highest quintiles of socio-economic deprivation. The adjusted odds of in-patient mortality were lower in the post-launch period (adjusted odds ratio [aOR] 0.83, 95% confidence interval [CI] 0.7-0.98, p<0.05), and were higher in association with age (aOR 1.04 for every additional year of age, 95% CI 1.03-1.05, p<0.01), socio-economic status (aOR 1.47 comparing the highest quintile of socio-economic deprivation with the lowest, 95% CI 1.06-2.04, p=0.02) and comorbidity (aOR 2.42 comparing a comorbidity score of 1 with a score of 0, 95% CI 2.1-3.52, p<0.01). In patients with a sepsis diagnosis, the odds of in-patient death were lower following the launch of the Raise the Flag sepsis quality improvement programme.

Socioeconomic Deprivation and the Risk of Sight-Threatening Diabetic Retinopathy: A Population-Based Cohort Study in the U.K.

To evaluate the associations between socioeconomic deprivation and sight-threatening diabetic retinopathy (STDR) in individuals with type 1 diabetes (T1D) and type 2 diabetes (T2D). Data from 175,628 individuals with diabetes in the Health Improvement Network were used to assess the risk of STDR across Townsend Deprivation Index quantiles using Cox proportional hazard regression. Among individuals with T1D, the risk of STDR was three times higher (adjusted hazard ratio [aHR] 2.67, 95% CI 1.05-7.78) in the most deprived quintile compared with the least deprived quintile. In T2D, the most deprived quintile had a 28% higher risk (aHR 1.28; 95% CI 1.15-1.43) than the least deprived quintile. Increasing socioeconomic deprivation is associated with a higher risk of developing STDR in people with diabetes. This underscores persistent health disparities linked to poverty, even within a country offering free universal health care. Further research is needed to address health equity concerns in socioeconomically deprived regions.

Geographical Variation in Ophthalmological Care Correlates to Economic Well-being in Florida

Purpose: This study aims to quantify the relationship between economic disadvantage and access to eye care in the state of Florida by synthesizing multiple metrics of care. The access metrics presented can help policymakers target interventions to areas most in need and monitor progress towards improving access. Material and Methods: Data from the Center for Medicaid and Medicare Services were analyzed with the Distressed Community Index (DCI), a metric developed by Economic Innovation Group which stratifies zip codes into 5 levels of economic well-being. An association between DCI and eye providers per capita was assessed using a Kruskal-Wallis test. Included are the 920 Florida zip codes included in the Economic Innovation Group’s Distressed Community Index (DCI). The Economic Innovation Group states all zip codes in the United States with populations greater than 500 are included in the DCI data set. Results: In Florida, 42.6% of zip codes have neither an ophthalmologist nor an optometrist. Number of providers per capita significantly differs by DCI category (p&lt;.001) with areas of lowest deprivation having an average of 0.23 ± 0.37 providers per thousand residents and areas of highest deprivation having 0.09 ± 0.19 providers per thousand. DCI quintiles of highest deprivation were significantly more likely to not have an eye provider (p&lt;.001) with 30.5% of zip codes in the lowest deprivation quintile having no providers vs. 62.2% in that of the highest deprivation quintile. Discussion: Findings indicate that economically disadvantaged zip codes have significantly less access to eye care compared to their more affluent counterparts. Given that Florida has the highest current prevalence and projected per capita prevalence of visual impairment, investigation and efforts to maximize access to ophthalmological care is paramount.

Is neighbourhood deprivation in primary school-aged children associated with their mental health and does this association change over 30 months?

As both socioeconomic deprivation and the prevalence of childhood mental health difficulties continue to increase, exploring the relationship between them is important to guide policy. We aimed to replicate the finding of a mental health gap that widened with age between those living in the most and least deprived areas among primary school pupils. We used data from 2075 children aged 4-9 years in the South West of England recruited to the STARS (Supporting Teachers and childRen in Schools) trial, which collected teacher- and parent-reported Strength and Difficulties Questionnaire (SDQ) at baseline, 18-month and 30-month follow-up. We fitted multilevel regression models to explore the relationship between Index of Multiple Deprivation (IMD) quintile and SDQ total difficulties score and an algorithm-generated "probable disorder" variable that combined SDQ data from teachers and parents. Teacher- and parent-reported SDQ total difficulties scores indicated worse mental health in children living in more deprived neighbourhoods, which was attenuated by controlling for special educational needs and disabilities but remained significant by parent report, and there was no interaction year group status (age) at baseline. We did not detect an association between probable disorder and IMD although an interaction with time was evident (p = 0.003). Analysis by study wave revealed associations at baseline (odds ratio 1.94, 95% confidence interval 0.97-3.89) and 18 months (1.96, 1.07-3.59) but not 30 months (0.94, 0.54-1.57). These findings augment the existing, highly compelling evidence demonstrating worse mental health in children exposed to socioeconomic deprivation.

Counting the lifetime cost of obesity: Analysis based on national England data.

Obesity has a significant impact on all-cause mortality rate and overall health care resource use (HCRU). These outcomes are also strongly linked to age, sex and local deprivation of the population. We aimed to establish the lifetime costs of obesity by demographic group/geographic area using published mortality rates and HCRU use for integrated care boards (ICB) in England in the context of costs of therapeutic intervention. Population and expected mortality rates by age, sex and deprivation were obtained from national data. Obesity class prevalence was taken from the health of the nation study. The published impact of obesity by age, group, sex and deprivation on mortality and HCRU were applied to estimate life years lost and lifetime HCRU [by sex, age band and body mass index (BMI) class for each ICB]. The year 2019 was chosen as the study basis data to avoid influences of COVID-19 pandemic on obesity rates with application of 2022/23 HCRU values. Outcomes including prevalence, deaths, life years lost, HCRU and lifetime HCRU were compared by age and sex groups across four BMI classes normal/underweight (BMI <25 kg/m2 ), overweight (25-29.9 kg/m2 ), obese class I and II (30-39.9 kg/m2 ), and obese class III (≥40), with benchmarking being set against all population being BMI <25 kg/m2 overall and by each of the 42 ICBs. We also associated future life with deaths to provide an estimate of 'future life years lost' occurring each year. Total population aged >16 years was 45.4 million (51% female). 13.7 million (28% of the total adult population) had a BMI ≥30 mg/m2 and BMI ≥40 kg/m2 were 1.50 million (12%) of these 1.0 million (68%) were female and of these 0.6 million 40% were women aged 16-49 years. In addition, 35% of those with a BMI ≥40 kg/m2 were in the top deprivation quintile (i.e. overall 20%). Mortality was based on expected deaths of 518K/year, and modelling suggested that if a BMI <25 kg/m2 was achieved in all individuals, the death rate would fall by 63K to 455K/year for the English population (12% reduction). For those with a BMI ≥40 kg/m2 the predicted reduction was 12K deaths (54% lower); while in those aged 16-49 years with a BMI ≥40 kg/m2 72% of deaths were linked to obesity. For future life years lost, we estimated 2.5 years were lost in people with BMI 30-39.9 kg/m2 6.7 years when BMI ≥40 kg/m2 . However, for those aged 16-49 years with a BMI ≥40 kg/m2 , 8.3 years were lost. HCRU, for weight reduction, the annual HCRU decrease from BMI ≥40 kg/m2 to BMI 30-39.9 kg/m2 was £342 per person and from BMI 30-39.9 to 25-29.9 kg/m2 the reduction was £316/person. However, lifetime costs were similar because of reduced life expectancy for obese individuals. In quality adjusted life years (QALY), overall, 791 689 future life years were lost (13.1% of all) in people with BMI ≥25 kg/m2 and were related to excess weight. When the NICE £30 000 per QALY value was applied to the estimated total 791 689 future life years lost then the potential QALY value reduction lost was equivalent to £24 billion/year or £522/person in the obese population. For morbidly obese men and women the potential QALY value lost was £2864/person/year. Regarding geography, across the 42 ICBs, we observed significant variation in the prevalence of BMI ≥40 (1.8%-4.3%), excess mortality (11.6%-15.4%) and HCRU linked to higher BMI (7.2%-8.8%). The areas with the greatest impact on HCRU were in the north-west, north-east and Midlands of England, while the south shows less impact. The expected increases in annual HCRU because of obesity, when considered over a lifetime, are being mitigated by the increased mortality of obese individuals. Our data suggest that simple short-term HCRU reduction brought about through BMI reduction will be insufficient to fund additional specialist weight reduction interventions. The HRCUs associated with BMI are not in most cases related to short-term health conditions. They are a cumulative result over a number of years, so for age 16-49 years reducing BMI from ≥40 to 30-39.9 kg/m2 might show an annual decrease in HCRU/person by £325/year for women and £80/year for men but this might not have immediately occurred within that year. For those aged >70 years reducing BMI from ≥40 to 30-39.9 kg/m2 might show an annual decrease in HCRU/person by £777/year for women and £796/year for men but also may not be manifest within that year. However, for the morbidly obese men and women, the potential QALY value lost was £2864 per person per year with the potential for these funds to be applied to intensive weight management programmes, including pharmacotherapy.

Population-Based Study of Alcohol-Related Liver Disease in England in 2001-2018: Influence of Socioeconomic Position.

England has seen an increase in deaths due to alcohol-related liver disease (ALD) since 2001. We studied the influence of socioeconomic position on the incidence of ALD and the mortality after ALD diagnosis in England in 2001-2018. This was an observational cohort study based on health records contained within the UK Clinical Practice Research Datalink covering primary care, secondary care, cause of death registration, and deprivation of neighborhood areas in 18.8 million residents. We estimated incidence rate and incidence rate ratios of ALD and hazard ratios of mortality. ALD was diagnosed in 57,784 individuals with a median age of 54 years and of whom 43% had cirrhosis. The ALD incidence rate increased by 65% between 2001 and 2018 in England to reach 56.1 per 100,000 person-years in 2018. The ALD incidence was 3-fold higher in those from the most deprived quintile vs those from the least deprived quintile (incidence rate ratio 3.30, 95% confidence interval 3.21-3.38), with reducing inequality at older than at younger ages. For 55- to 74-year-olds, there was a notable increase in the incidence rate between 2001 and 2018, from 96.1 to 158 per 100,000 person-years in the most deprived quintile and from 32.5 to 70.0 in the least deprived quintile. After ALD diagnosis, the mortality risk was higher for patients from the most deprived quintile vs those from the least deprived quintile (hazard ratio 1.22, 95% confidence interval 1.18-1.27), and this ratio did not change during 2001-2018. The increasing ALD incidence in England is a greater burden on individuals of low economic position compared with that on those of high socioeconomic position. This finding highlights ALD as a contributor to inequality in health.

Association Between Neighborhood Deprivation in Early Pregnancy and Gestational Diabetes Mellitus.

To evaluate whether having a pregnancy in a deprived neighborhood was associated with an increased risk of gestational diabetes mellitus (GDM) compared with having a pregnancy in the least-deprived neighborhoods. This was a retrospective observational cohort study of pregnant individuals within Kaiser Permanente Northern California from 2011 to 2018 with residential history from prepregnancy through 24 weeks of gestation and clinical data from prepregnancy through delivery. The primary outcome was a diagnosis of GDM. Neighborhood deprivation was characterized with an index aggregating multiple indicators of Census tract-level sociodemographic information. Mediation analysis using inverse odds ratio weighting estimated the mediation effects of prepregnancy body mass index (BMI), gestational weight gain, smoking tobacco, and illegal drug use before GDM diagnosis. Overall, 214,375 pregnant individuals were included, and 11.3% had a diagnosis of GDM. Gestational diabetes prevalence increased with neighborhood deprivation from 10.0% in the lowest Neighborhood Deprivation Index quintile to 12.7% in the highest quintile. Compared with pregnant individuals in the least deprived neighborhoods (quintile 1), pregnant individuals in quintiles 2-5 had elevated risk of GDM (relative risk [95% CI]) when adjusted for maternal age, parity, insurance type, and residential history (quintile 2, 1.17 [1.10-1.23]; quintile 3, 1.38 [1.30-1.46]; quintile 4, 1.54 [1.45-1.63]; quintile 5, 1.71 [1.62-1.82]). There was a dose-response relationship between relative risk of GDM and increasing quintile of neighborhood deprivation ( P for trend <.001). Prepregnancy BMI mediated 45.8% (95% CI, 40.9-50.7%) of the association. Other potential mediators were found to mediate a small if not negligible proportion of this association (2.4-3.6%). Neighborhood deprivation was associated with GDM, and a considerable proportion of this relationship was mediated by prepregnancy BMI.

The effect of socioeconomic status and training programmes on burnout in postgraduate trainees in the United Kingdom: a cross-sectional analysis.

Burnout is described as a state of mental exhaustion caused by one's professional life and is characterised by three domains: emotional exhaustion, depersonalisation, and a reduced sense of accomplishment. The prevalence of stress is high amongst doctors and varies by specialty, gender, trainee level, and socioeconomic status. The authors set out to examine the scale of the problem, as well as to determine the influence of both socioeconomic status and chosen training programme on burnout amongst postgraduate trainees. This would identify at-risk groups and aid in future targeted interventions. Cross-sectional data were obtained, following approval from the General Medical Council, from The National Training Survey, completed annually by all trainees in the United Kingdom. Data were then anonymised and analysed. Burnout scores were derived from the Copenhagen Burnout Inventory and are positively framed (higher scores equal lower burnout). The questionnaire was completed by 63 122 participants from 2019 to 2020. Mean burnout amongst all trainees was 52.4 (SD = 19.3). Burnout scores from the most deprived quintile was significantly lower compared with those from the least deprived quintile: 51.0 (SD = 20.6) versus 52.9 (SD = 18.9), respectively (P < 0.001). The highest levels of burnout were reported in Internal Medical Training, Emergency Medicine, Obstetrics and Gynaecology, and Core Surgical Training, respectively. Postgraduates from lower socioeconomic backgrounds are more likely to encounter burnout during training. At-risk groups who may also benefit from targeted intervention have been identified, requiring further examination through future studies.

All-cause, premature, and cardiovascular death attributable to socioeconomic and ethnic disparities among New Zealanders with type 1 diabetes 1994–2019: a multi-linked population-based cohort study

BackgroundNew Zealand (NZ) research into type 1 diabetes mellitus (T1DM) mortality can inform policy and future research. In this study we aimed to quantify the magnitude to which ethnicity and socioeconomic disparities influenced mortality at the population level among people with Type 1 diabetes (T1DM) in Auckland, New Zealand (NZ).MethodsThe cohort data were derived from the primary care diabetes audit program the Diabetes Care Support Service (DCSS), and linked with national primary care, pharmaceutical claims, hospitalisation, and death registration databases. People with T1DM enrolled in DCSS between 1994–2018 were included. All-cause, premature, and cardiovascular mortalities were estimated by Poisson regression models with adjustment for population-level confounders. The mortality rates ratio (MRR) was standardized against the DCSS type 2 diabetes population. Mortality rates were compared by ethnic group (NZ European (NZE) and non-NZE) and socioeconomic deprivation quintile. The population attributable fraction (PAF) was estimated for ethnic and socioeconomic disparities by Cox regression adjusting for demographic, lifestyle, and clinical covariates. The adjusted slope index inequality (SII) and relative index of inequality (RII) were used to measure the socioeconomic disparity in mortalities.ResultsOverall, 2395 people with T1DM (median age 34.6 years; 45% female; 69% NZE) were enrolled, among whom the all-cause, premature and CVD mortalities were 6.69 (95% confidence interval: 5.93–7.53), 3.30 (2.77–3.90) and 1.77 (1.39–2.23) per 1,000 person-years over 25 years. The overall MRR was 0.39 (0.34–0.45), 0.65 (0.52–0.80), and 0.31 (0.24–0.41) for all-cause, premature and CVD mortality, respectively. PAF attributable to ethnicity disparity was not significantly different for mortality. The adjusted PAF indicated that 25.74 (0.84–44.39)% of all-cause mortality, 25.88 (0.69–44.69)% of premature mortality, 55.89 (1.20–80.31)% of CVD mortality could be attributed to socioeconomic inequality. The SII was 8.04 (6.30–9.78), 4.81 (3.60–6.02), 2.70 (1.82–3.59) per 1,000 person-years and RII was 2.20 (1.94–2.46), 2.46 (2.09–2.82), and 2.53 (2.03–3.03) for all-cause, premature and CVD mortality, respectively.ConclusionsOur results suggest that socioeconomic disparities were responsible for a substantial proportion of all-cause, premature and CVD mortality in people with T1DM in Auckland, NZ. Reducing socioeconomic barriers to management and self-management would likely improve clinical outcomes.

Impact of COVID-19 on cancer incidence, presentation, diagnosis, treatment and survival in Northern Ireland.

The COVID-19 pandemic had a major impact on cancer patients and services but has been difficult to quantify. We examined how the entire cancer pathway-from incidence, presentation, diagnosis, stage, treatment and survival-was affected in Northern Ireland during April-December 2020 compared to equivalent 2018-2019 periods using retrospective, observational cancer registry data from the Northern Ireland Cancer Registry (NICR). There were 6748 cancer cases in April-December 2020 and an average 7724 patients in April-December 2018-2019. Incident cases decreased by 13% (almost 1000). Significant differences were found across age cohorts and deprivation quintiles, with reductions greatest for younger people (<55 years; 19% decrease) and less deprived (22% decrease). A higher proportion had emergency admission (16%-to-20%) with lower proportions diagnosed pathologically (85%-to-83%). There was a significant stage shift, with lower proportions of early stage (29%-to-25%) and higher late-stage (21%-to-23%). Lower proportions received surgery (41%-to-38%) and radiotherapy (24%-to-22%) with a higher proportion not receiving treatment (29%-to-33%). One-year observed-survival decreased from 73.7% to 69.8% and 1-year net-survival decreased from 76.1% to 72.9%, with differences driven by five tumours; Lung (40.3%-to-35.0%), Head-and-Neck (77.4%-to-68.4%), Oesophageal (53.5%-to-42.3%), Lymphoma (81.1%-to-75.2%) and Uterine cancer (87.4%-to-80.4%). Our study reveals profound adverse impact of COVID-19 on the entire cancer patient pathway, with 13% fewer cases, greater emergency admissions and significant stage-shift from early to more advanced-stage disease. There was major treatment impact with lower rates of surgery and radiotherapy and higher proportions receiving no treatment. There were significant reductions in 1-year survival. Our study will support service recovery and protect cancer services in future pandemics or disruptions.

The impact of marginalization on diffuse large B-cell lymphoma overall survival: a retrospective cohort study

The aim of this study was to describe the impact of marginalization on DLBCL overall survival (OS) within the Canadian setting. We conducted a population-based retrospective cohort study of adult patients with newly diagnosed DLBCL in Ontario between 1 January 2005 and 31 December 2017 receiving a rituximab-containing chemotherapy regimen with curative intent followed until 1 March 2020. Our primary exposure of interest was the Ontario Marginalization Index (ON-Marg). The primary outcome was 2-year OS, accounting for patient age, sex, cancer characteristics, comorbidity burden, and rural dwelling status. While two-year overall survival was inferior for individuals in the most deprived marginalization quintile (70.4% Q5 vs. 76.0% Q1), after adjustment for relevant covariates neither the composite ON-Marg nor any of its dimensions had a significant effect. Within the Canadian context, among patients who receive chemotherapy, marginalization may not have a significant association with overall survival when accounting for key patient covariates, lending support for preserved outcomes.

Trends in inequalities in childhood overweight and obesity prevalence: a repeat cross-sectional analysis of the Health Survey for England

ObjectiveTo examine trends in socio-economic and ethnic inequalities in childhood overweight and obesity in the England between 1995 and 2019 in survey data and to compare these to administrative data.DesignObservational...

Eleven-year trends in socioeconomic inequalities in the prevalence and incidence of pharmacologically treated type 2 diabetes in France, 2010–2020

AimThis study aimed to describe the association between socioeconomic inequalities and the prevalence and incidence of pharmacologically-treated type 2 diabetes in European France over the 2010–2020 period. MethodsDiabetes cases were identified using a validated algorithm from the French National Health Data System. Analysis was restricted to adults aged 45 years and older to focus on type 2 diabetes. Socioeconomic inequalities were measured for all years in European France using the French deprivation index (FDep, 2015 version), which is an area-based deprivation indicator using population-weighted quintiles (Q1 corresponds to the least deprived municipalities). The relative risks of diabetes prevalence and incidence associated with FDep quintiles (Q1 as the reference) were estimated by sex using a log-linear Poisson model adjusted for year, age and French department. The study population was the French health consumers aged 45 years and over (from 24,228,526 in 2010 to 29,772,928 in 2020). ResultsA positive gradient was observed in the relative risks of type 2 diabetes prevalence and incidence by FDep quintiles over the study period. The strength of the estimated associations increased over the last decade for prevalence among men and women and for incidence among men in the two most deprived quintiles. ConclusionThus, type 2 diabetes prevention should include a proportionate universalism approach, proposing actions of greater intensity in the most deprived areas.

Effect of area-level socioeconomic deprivation on mental and physical health: A longitudinal natural experiment among refugees in Germany

Existing studies on contextual health effects struggle to account for compositional bias, limiting causal interpretation. We use refugee dispersal in Germany as a natural experiment to study the effect of area-level socioeconomic deprivation on mental and physical health, while considering the potential mediating role of neighbourhood characteristics. Refugees subject to dispersal (n = 1466) are selected from a nation-wide longitudinal refugee study (IAB-SOEP-BAMF Panel; 2016–2018). Multi-level linear regression models, adjusted for age, sex, education, country of origin, federal state, asylum status and length of residence in Germany, are fitted to the change in mental and physical health subscales of the SF-12 depending on quintiles (Q1 – Q5) of commune-level socioeconomic deprivation (German Index of Socioeconomic Deprivation, GISD). This is followed by sensitivity analyses and mediation analyses for housing, social cohesion, proportion of non-citizens in the neighbourhood, access to green space, population density and primary care physician density. Residency in districts with moderate-high deprivation (Q4) has a negative impact on physical health (coef.: -2.2, 95%CI: -4.1;-0.2) compared to lowest deprivation (Q1). Moderate-high deprivation (Q4) has a positive impact on mental health, but the effect is statistically insignificant (coef.: 1.6, 95%CI: -0.7; 3.9). Comparisons with other deprivation quintiles are statistically insignificant. Sensitivity analyses confirm results of the final models, while no mediating factors show a substantial impact on the observed relationship. The results point to gaps in health and social service provision for refugees living in the most deprived regions, but further research is required to understand the precise mechanisms behind the observed relationships. Further research using longer timeframes and larger sample sizes are required to confirm results.

Rising Unscheduled Healthcare Utilisation of Children and Young People: How Does the Rise Vary Across Deprivation Quintiles in UK Nations?

This retrospective population-based analysis assessed variations in urgent healthcare use by children and young people (CYP) across UK nations (England, Scotland and Wales) between 2007 and 2017. The study focused on urgent hospital admissions, short stay urgent admissions (SSUA) and Emergency Department (ED) attendances among CYP aged <25 years, stratified by age groups and Index of Multiple Deprivation (IMD) quintile groups. A linear mixed model was used to assess trends in healthcare activity over time and across deprivation quintiles. Urgent admissions, SSUA and ED attendances increased across all deprivation quintiles in all studied nations. Increasing deprivation was consistently associated with higher urgent healthcare utilisation. In England, the rise in urgent admissions and SSUA for CYP was slower for CYP from the quintile of greatest deprivation compared those from the least deprived quintile (respective mean differences 0.69/1000/y [95% CI 0.53, 0.85] and 0.25/1000/y [0.07, 0.42]), leading to a narrowing in health inequality. Conversely, in Scotland, urgent admissions and SSUA increased more rapidly for CYP from all deprivation quintiles, widening health inequality. Understanding the differences we describe here could inform changes to NHS pathways of care across the UK which slow the rise in urgent healthcare use for CYP.

Primary Care Physicians in Nova Scotia: Are They Where They Need To Be?

Purpose: Accessible primary health care (PHC) is a key area of interest for policy and research as accessible PHC is associated with better health outcomes and lower health system costs. A critical dimension of accessible PHC is an adequate supply of family physicians (FPs) or general practitioners (GPs). Our study sought to analyze the geographic distribution of FP/GPs practicing in Nova Scotia (NS) and to provide an in-depth analysis of the distribution of FP/GPs in relation to population PHC needs. Methods: Using data from the College of Physicians &amp; Surgeons of Nova Scotia’s registry and 2019 annual license renewal survey, we provide a descriptive analysis of physician distribution, demographics and practice structure characteristics across the four Nova Scotia Health management zones (Central, Eastern, Northern, Western) for the population of FP/GPs practicing in NS in 2019. Additionally, we provided a descriptive analysis of PHC demand indicators and population demographics derived from the Canadian Institute for Health Information, the Canadian Community Health Survey, and the Canadian Census. These population PHC need indicators include hospitalization rates for ambulatory care sensitive conditions (ACSC), perceived health, the Canadian Index of Multiple Deprivation (CIMD), and the percentage of the population aged 65 and over across Nova Scotia Health management zones. Results: FP/GPs practising outside the Central zone are less numerous, older, and more likely to be male and international medical graduates. FP/GPs practicing outside the Central zone are more likely to have solo practices, practice in rural areas and not provide care through technology. Additionally, there is a greater potential demand for PHC outside of the Central zone, indicated by lower physician-to-100,000 population ratios, higher rates of hospitalizations for ACSC, a larger percentage of individuals living in rural areas, aged 65 and over, rating their health as fair or poor, and in the most deprived quintile of the situational vulnerability and economic dependency dimensions of the CIMD. Conclusions: These findings indicate a geographic maldistribution of physicians across NS and potential gaps in access to FP/GPs compared to population health needs across Nova Scotia Health management zones. The findings have implications for targeted physician resources planning and policy.

Spatial Hotspots and Sociodemographic Profiles Associated With Traumatic Brain Injury in Nova Scotia.

Traumatic brain injury (TBI) is a leading cause of death and disability, primarily caused by falls and motor vehicle collisions (MVCs). Although many TBIs are preventable, there is a notable lack of studies exploring the association of geographically defined TBI hotspots with social deprivation. Geographic information systems (GIS) can be used to identify at-risk neighborhoods (hotspots) for targeted interventions. This study aims to determine the spatial distribution of TBI by major causes and to explore the sociodemographic and economic characteristics of TBI hotspots and cold spots in Nova Scotia. Patient data for TBIs from 2003 to 2019 were obtained from the Nova Scotia Trauma Registry. Residential postal codes were geocoded and assigned to dissemination areas (DA). Area-based risk factors and deprivation status (residential instability [RI], economic dependency [ED], ethnocultural composition [EC], and situational vulnerability [SV]) from the national census data were linked to DAs. Spatial autocorrelation was assessed using Moran's I, and hotspot analysis was performed using Getis-Ord Gi* statistic. Differences in risk factors between hot and cold spots were evaluated using the Mann-Whitney U test for numerical variables and the χ2 test or Fisher's exact test for categorical variables. A total of 5394 TBI patients were eligible for inclusion in the study. The distribution of hotspots for falls exhibited no significant difference between urban and rural areas (p = 0.71). Conversely, hotspots related to violence were predominantly urban (p = 0.001), whereas hotspots for MVCs were mostly rural (p < 0.001). Distinct dimensions of deprivation were associated with falls, MVCs, and violent hotspots. Fall hotspots were significantly associated with areas characterized by higher RI (p < 0.001) and greater ethnocultural diversity (p < 0.001). Conversely, the same domains exhibited an inverse relationship with MVC hotspots; areas with low RI and ethnic homogeneity displayed a higher proportion of MVC hotspots. ED and SV exhibited a strong gradient with MVC hotspots; the most deprived quintiles displayed the highest proportion of MVC hotspots compared with cold spots (ED; p = 0.002, SV; p < 0.001). Areas with the highest levels of ethnocultural diversity were found to have a significantly higher proportion of violence-related hotspots than cold spots (p = 0.005). This study offers two significant contributions to spatial epidemiology. First, it demonstrates the distribution of TBI hotspots by major injury causes using the smallest available geographical unit. Second, we disentangle the various pathways through which deprivation impacts the risk of main mechanisms of TBI. These findings provide valuable insights for public health officials to design targeted injury prevention strategies in high-risk areas.

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.

Rates of pediatric emergency department visits vary according to neighborhood marginalization in Ottawa, Canada.

To determine the association between neighborhood marginalization and rates of pediatric ED visits in Ottawa, Ontario. Secondary objectives investigated if the association between neighborhood marginalization and rates varied by year, acuity, and distance to hospital. We calculated rates of pediatric ED visits per 1000 person-years for census dissemination areas within 100km of the Children's Hospital of Eastern Ontario for patients < 18years old from January 2018 through December 2020. The 2016 Ontario Marginalization Index categorized neighborhoods along quintiles of residential instability, material deprivation, ethnic concentration, and dependency. Generalized mixed-effects models determined the incidence rate ratios of pediatric ED visits for each quintile of marginalization; multivariate models were used to control for year of presentation and distance to hospital. Analysis was repeated for low versus high acuity ED visits. There were 154,146 ED visits from patients in 2055 census dissemination areas within 100km of CHEO from 2018 to 2020. After controlling for year and distance from hospital in multivariate analyses, there were higher rates of pediatric ED visits for dissemination areas with high residential instability, high material deprivation, and low ethnic concentration. These findings did not change according to visit acuity. Neighborhood residential instability and material deprivation should be considered when locating alternatives to emergency care.

Area-based social inequalities in adult mortality: construction of French deprivation-specific life tables for the period 2016-2018.

In order to tackle social inequalities in mortality, it is crucial to quantify them. We produced French deprivation-specific life tables for the period 2016-2018 to measure the social gradient in adult all-cause mortality. Data from the Permanent Demographic Sample (EDP) were used to provide population and death counts by age, sex and deprivation quintile. The European Deprivation Index (EDI), applied at a sub-municipal geographical level, was used as an ecological measure of deprivation. Smoothed mortality rates were calculated using a one-dimensional Poisson counts smoothing method with P-Splines. We calculated life expectancies by age, sex and deprivation quintile as well as interquartile mortality rate ratios (MRR). At the age of 30, the difference in life expectancy between the most and least deprived groups amounted to 3.9 years in males and 2.2 years in females. In terms of relative mortality inequalities, the largest gaps between extreme deprivation groups were around age 55 for males (MRR = 2.22 [2.0; 2.46] at age 55), around age 50 in females (MRR = 1.77 [1.48; 2.1] at age 47), and there was a decrease or disappearance of the gaps in the very older adults. There is a strong social gradient in all-cause mortality in France for males and females. The methodology for building these deprivation-specific life tables is reproducible and could be used to monitor its development. The tables produced should contribute to improving studies on net survival inequalities for specific diseases by taking into account the pre-existing social gradient in all-cause mortality.