High Socioeconomic Deprivation Research Articles

Enhancing equity in access to automated insulin delivery systems in an ethnically and socioeconomically diverse group of children with type 1 diabetes

IntroductionManufacturer-supported didactic teaching programmes offer effective automated insulin delivery (AID) systems onboarding in children and young people (CYP) with type 1 diabetes (T1D). However, this approach has limited flexibility to...

Ethnicity and socio-economic deprivation in children with intestinal failure in New Zealand: Disparities in incidence, but not in outcomes.

The New Zealand National Intestinal Failure and Rehabilitation Service (NZ-NIFRS) was established in October 2015 to gather longitudinal data on the aetiology, clinical course and outcomes of children with intestinal failure (IF). One main objective is to achieve health equity for patients with IF in NZ. Clinical outcomes (enteral autonomy, parenteral nutrition (PN) dependence, death or intestinal transplantation) for IF patients diagnosed from October 2015 to 2018 were analysed; comparisons were made by ethnicity and socio-economic status (SES) using published 'prioritised-ethnicity' health data and the NZ index of deprivation, respectively. The Cox proportional-hazards model was used to assess time to enteral autonomy. Of the 208 patients (55.77% male, 43.75% preterm), 170 (81.73%) achieved enteral autonomy and 14 (6.73%) remained PN dependent. Pacific and Māori children accounted for 12.98% and 27.88% of the patient cohort, respectively, compared to 9.46% and 25.65% of the NZ paediatric population. More significantly, IF patients with a high NZ socio-economic deprivation score were overrepresented, with 35.92% in the highest deprivation quintile and 10.19% in the least deprived quintile, compared to 23.53% and 20.31%, respectively, of the NZ paediatric population. There were no significant differences in primary clinical outcomes for any patients based on ethnicity or SES. While disparities in ethnicity and social deprivation do exist in the incidence of IF in NZ children, clinical outcomes are similar for children regardless of ethnicity or SES. NZ-NIFRS has achieved one of its core objectives: to achieve health equity for all patients with IF nationwide.

An observational analysis of frailty in combination with loneliness or social isolation and their association with socioeconomic deprivation, hospitalisation and mortality among UK Biobank participants

Frailty, social isolation, and loneliness have individually been associated with adverse health outcomes. This study examines how frailty in combination with loneliness or social isolation is associated with socioeconomic deprivation and with all-cause mortality and hospitalisation rate in a middle-aged and older population. Baseline data from 461,047 UK Biobank participants (aged 37–73) were used to assess frailty (frailty phenotype), social isolation, and loneliness. Weibull models assessed the association between frailty in combination with loneliness or social isolation and all-cause mortality adjusted for age/sex/smoking/alcohol/socioeconomic-status and number of long-term conditions. Negative binomial regression models assessed hospitalisation rate. Frailty prevalence was 3.38%, loneliness 4.75% and social isolation 9.04%. Frailty was present across all ages and increased with age. Loneliness and social isolation were more common in younger participants compared to older. Co-occurrence of frailty and loneliness or social isolation was most common in participants with high socioeconomic deprivation. Frailty was associated with increased mortality and hospitalisation regardless of social isolation/loneliness. Hazard ratios for mortality were 2.47 (2.27–2.69) with social isolation and 2.17 (2.05–2.29) without social isolation, 2.14 (1.92–2.38) with loneliness and 2.16 (2.05–2.27) without loneliness. Loneliness and social isolation were associated with mortality and hospitalisation in robust participants, but this was attenuated in the context of frailty. Frailty and loneliness/social isolation affect individuals across a wide age spectrum and disproportionately co-occur in areas of high deprivation. All were associated with adverse outcomes, but the association between loneliness and social isolation and adverse outcomes was attenuated in the context of frailty. Future interventions should target people living with frailty or loneliness/social isolation, regardless of age.

Abstract 799: Area-level socioeconomic deprivation is associated with inadequate access to quality preoperative care and increased readmission after surgery for early-stage lung cancer

Abstract Objective: Socioeconomic deprivation (SED) has been associated with higher lung cancer risk and mortality. However, the effects of SED on lung cancer outcomes in an integrated, single-payer healthcare system, such as the Veterans Health Administration (VHA), remains unknown. We sought to examine the impact of area-level SED on access to care and outcomes in veterans with early-stage non-small cell lung cancer (NSCLC). Methods: We conducted a retrospective cohort study of patients with clinical stage I NSCLC receiving definitive surgical treatment in the VHA from 2006-2016. Patients were assigned an area deprivation index (ADI) score, a ZIP code-level measure of SED incorporating multiple poverty, education, housing, and employment indicators from the United States Census. Using multivariable analysis, we evaluated the relationship between ADI and guideline-concordant quality metrics (QMs) that stage I NSCLC patients should routinely meet in the preoperative (positron emission tomography [PET] imaging, smoking cessation support [SCS], pulmonary function testing [PFT], and timely surgery) and postoperative (cancer surveillance imaging, SCS, and appropriate oncology referral) periods. We also assessed the association between ADI and various cancer-specific outcomes including overall survival (OS). Results: The study included 9,704 patients. High ADI was associated with lower likelihood of receiving PET imaging (ADI ≥76 vs. ≤50: adjusted odds ratio [aOR] 0.592, 95% CI 0.502-0.698) and PFT (ADI ≥76 vs. ≤50: aOR 0.816, 95% CI 0.694-0.959) before surgery. High ADI was also associated with delayed surgery (>12 weeks after diagnosis; ADI ≥76 vs. ≤50: aOR 1.202, 95% CI 1.058-1.366). ADI was associated with 30-day readmission after surgery (ADI ≥76 vs. ≤50: aOR 1.380, 95% CI 1.103-1.726) but not with 30-day mortality (ADI ≥76 vs. ≤50: aOR 1.221, 95% CI 0.816-1.826), major complications (ADI ≥76 vs. ≤50: aOR 0.927, 95% CI 0.780-1.101), prolonged hospital length of stay (≥14 days; ADI ≥76 vs. ≤50: aOR 0.893, 95% CI 0.755-1.056), or 90-day mortality (ADI ≥76 vs. ≤50: aOR 0.876, 95% CI 0.645-1.190). ADI was not associated with adherence to postoperative QMs (ADI ≥76 vs. ≤50: aOR 0.888, 95% CI 0.764-1.032), OS (ADI ≥76 vs. ≤50: aOR 0.984, 95% CI 0.911-1.062), or cumulative incidence of cancer recurrence (ADI ≥76 vs. ≤50: aOR 1.047, 95% CI 0.930-1.179). Conclusions: Area-level SED is associated with inadequate adherence to preoperative QMs and increased readmission after surgery for stage I NSCLC. Our data suggests that veterans with high SED experience inadequate access to quality preoperative care for early-stage NSCLC but do not have inferior long-term outcomes after resection. Future VHA policies should focus on providing more equitable guideline-concordant preoperative care and preventing postoperative readmission for stage I NSCLC. Citation Format: Steven Tohmasi, Daniel B. Eaton, Brendan T. Heiden, Nikki E. Rossetti, Martin W. Schoen, Su-Hsin Chang, Yan Yan, Mayank R. Patel, Bryan F. Meyers, Benjamin D. Kozower, Varun Puri. Area-level socioeconomic deprivation is associated with inadequate access to quality preoperative care and increased readmission after surgery for early-stage lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 799.

Contribution of Infant Food Pouches and Other Commercial Infant Foods to the Diets of Infants: A Cross-sectional Study

BackgroundAlthough considerable concern has been expressed about the nutritional implications of infant food pouches, how they impact infant diet has not been examined. ObjectivesThe objective of this study was to determine the contribution of infant food pouches specifically, and commercial infant foods generally, to nutrient intake from complementary foods in infants. MethodsTwo multiple-pass 24-h diet recall data were collected from 645 infants (6.0–11.9 mo) in the First Foods and Young Foods New Zealand studies. Detailed information was obtained on commercial infant food use, including pouches, and nutrient composition was calculated through recipe modeling. ResultsThe diverse sample (46.1% female; 21.1% Māori, 14.1% Asian, and 54.6% European) was aged (SD) 8.4 (0.9) mo. More than one-quarter of households had high socioeconomic deprivation. Almost half (45.3%) of infants consumed an infant food pouch on ≥1 recall day [mean (SD), 1.3 (0.9) times/d], obtaining 218 (124) kJ of energy on each eating occasion. Comparable numbers for all commercial infant and toddler foods (CITFs) were 78.0%, contributing 2.2 (1.6) and 140 (118) kJ of energy. Infant food pouches provided 25.5% of the total energy from complementary foods in those infants who consumed pouches on the recall days but just 11% in all infants. Median percentage contribution of infant food pouches to nutrient intake from complementary foods in consumers ranged from <1% (added sugars and retinol) to >30% (carbohydrate, total sugars, fiber, vitamin A, and vitamin C). CITF contributed 21.4% of energy from complementary foods for infant consumers, with median percentage contribution ranging from 0.1% (retinol) to 40.3% (iron). ConclusionsInfant food pouches make relatively small contributions to energy intake in infants but are important sources of carbohydrates, fiber, and vitamins A, C, and B-6. Almost half of the total sugars consumed from complementary foods is provided by these pouches.This trial was registered at the Australian New Zealand Clinical Trials Registry as ACTRN12620000459921.

Psychiatric disorders in childhood cancer survivors: A retrospective matched cohort study of inpatient hospitalisations and community-based mental health services utilisation in Western Australia.

We examined the impact of long-term mental health outcomes on healthcare services utilisation among childhood cancer survivors in Western Australia using linked hospitalisations and community-based mental healthcare records from 1987 to 2019. The study cohort included 2977 childhood cancer survivors diagnosed with cancer at age < 18 years in Western Australia from 1982 to 2014 and a matched non-cancer control group of 24,994 individuals. Adjusted hazard ratios of recurrent events were estimated using the Andersen-Gill model. The cumulative burden of events over time was assessed using the method of mean cumulative count. The annual percentage change in events was estimated using the negative binomial regression model. The results showed higher community-based service contacts (rate/100 person-years: 30.2, 95% confidence interval = [29.7-30.7] vs 22.8, 95% confidence interval = [22.6-22.9]) and hospitalisations (rate/1000 person-years: 14.8, 95% confidence interval = [13.6-16.0] vs 12.7, 95% confidence interval = [12.3-13.1]) in childhood cancer survivors compared to the control group. Childhood cancer survivors had a significantly higher risk of any event (adjusted hazard ratio = 1.5, 95% confidence interval = [1.1-2.0]). The cumulative burden of events increased with time since diagnosis and across age groups. The annual percentage change for hospitalisations and service contacts significantly increased over time (p < 0.05). Substance abuse was the leading cause of hospitalisations, while mood/affective and anxiety disorders were common causes of service contacts. Risk factors associated with increased service events included cancer diagnosis at age < 5 years, leukaemia diagnosis, high socioeconomic deprivation, and an attained age of < 18 years. The elevated utilisation of healthcare services observed among childhood cancer survivors emphasises the need for periodic assessment of psychiatric disorders, particularly in high-risk survivors, to facilitate early management and optimise healthcare resources.

A retrospective cohort study of socioeconomic deprivation and post-liver transplant survival in adults.

Area Deprivation Index is a granular measure of neighborhood socioeconomic deprivation. The relationship between neighborhood socioeconomic deprivation and recipient survival following liver transplantation is unclear. To investigate this, we performed a retrospective cohort study of adults who underwent liver transplantation at the University of Washington Medical Center from January 1, 2004 to December 31, 2020. The primary exposure was degree of neighborhood socioeconomic deprivation as determined by Area Deprivation Index score. The primary outcome was post- transplant recipient mortality. In a multivariable Cox proportional analysis, liver transplant recipients from high deprivation areas had a higher risk of mortality than those from low deprivation areas (hazard ratio: 1.81; 95% CI: 1.03-3.18, p=0.04). Notably, the difference in mortality between area deprivation groups did not become statistically significant until 6 years after transplantation. In summary, liver transplant recipients experiencing high socioeconomic deprivation tended to have worse post-transplant survival. Further research is needed to elucidate the extent to which neighborhood socioeconomic deprivation contributes to mortality risk and identify effective measures to improve survival in more socioeconomically disadvantaged liver transplant recipients.

Three Years of the Coronavirus Disease 2019 Pandemic in a European Region: A Population-Based Longitudinal Assessment in Madrid Between 2020 and 2022.

Our objective was to assess the health impact of coronavirus disease 2019 (COVID-19) during 2020-2022 in the Madrid region. We included all individuals registered in the Madrid Health System Registry as of 31 December 2019, and followed them until 31 December 2022. Using a unique personal identifier, we linked the databases of primary care, hospitals, pharmacies, certified laboratories performing diagnostic tests, vaccines, and mortality. Of 6 833 423 individuals, 21.4% had a confirmed COVID-19 diagnosis, and 1.5% had a COVID-19 hospitalization (primary diagnosis). Thirty-day mortality was 1.6% for confirmed COVID-19 (from 11.4% in first semester 2020 to 0.4% in first semester 2022). Thirty-day mortality was 10.8% for COVID-19 hospitalizations (from 14.0% in first semester 2020 to 6.0% in second semester 2022). There were 24 073 deaths within 30 days of a confirmed COVID-19 diagnosis. Advanced age, male sex, higher socioeconomic deprivation, and comorbidities were associated with higher mortality. By linking administrative and clinical databases, we characterized the burden of the COVID-19 pandemic in Madrid over 3 years. Our analysis proposes a high-level framework for comparisons of the burden of COVID-19 across areas worldwide.

Factors Associated With New Analgesic Requirements Following Critical Illness.

Chronic opioid use represents a significant burden to global healthcare with adverse long-term outcomes. Elevated patient reported pain levels and analgesic prescriptions have been reported following discharge from critical care. We describe analgesic requirements following discharge from hospital and identify if a critical care admission is a significant factor for stronger analgesic prescriptions. This retrospective observational cohort study identified patients in the UK Biobank with a registered admission to any UK hospital between January 1, 2010 and December 31, 2015 and information on prescriptions drawn both prior to and following hospital discharge. Two matched cohorts were created from the dataset: critical care patients and hospital patients admitted without a critical care encounter. Outcomes were analgesic requirements following hospital discharge and factors associated with increased analgesic prescriptions. Multivariable logistic regression was used to identify factors associated with prescriptions from higher steps on the World Health Organization (WHO) analgesic ladder. In total, 660 formed the total study population. Strong opioid prescriptions following discharge were significantly higher in the critical care cohort (P value <.001). Critical care admission (OR = 1.45) and increasing Townsend deprivation (OR = 1.04) index were significantly associated with increasing strength of analgesic prescriptions following discharge. Critical care patients require stronger analgesic prescriptions in the 12 months following hospital discharge. Patients from areas of high socioeconomic deprivation may also be associated with increased analgesic requirements. Multidisciplinary support is required for patients who may be at risk of chronic opioid use and could be delivered within critical care recovery programs.

Influence of age on clinical characteristics, pharmacological management and exacerbations in children with asthma

BackgroundAsthma trials and guidelines often do not distinguish between adolescents and younger children. Using a large English data set, we evaluated the impact of age on asthma characteristics, management and...

Centre‐based early education interventions for improving school readiness: A systematic review

Centre‐based early education interventions for improving school readiness: A systematic review

The impact of neighborhood socioeconomic deprivation on pancreatic cancer stage and treatment in Florida: A statewide retrospective cohort study.

150 Background: Increasing socioeconomic deprivation (SED) is associated with higher cancer stage at diagnosis and less treatment. However, most studies have used large geographic areas and lacked detailed staging or treatment variables. To overcome this, SED at the neighborhood (census-block group) level was used to assess pancreatic cancer stage and treatment in Florida. Methods: Using the incidence-based Florida Cancer Database, 16,319 patients diagnosed with pancreatic adenocarcinoma from 2008-2015 were identified. The Area Deprivation Index, a validated dataset that ranks census block groups (neighborhoods) from 1-100 (higher scores=higher deprivation) at the national level based on SED, was used to assess stage at diagnosis and treatment by quintile. Descriptive statistics and tests of association were used. Results: The median SED for pancreatic cancer in Florida was 57. SED was associated with stage at diagnosis (Table 1). The lowest SED patients had the lowest rate of stage IV disease (46.8%). Surgery and chemotherapy were delivered to 18% and 60% of all patients. Of stage I patients without risk factors contraindicating surgery, 29.1% received curative-intent surgery. For these patients, high SED compared to the lowest SED was associated with a lower surgery rate (25.8% vs 30.9%, respectively; p=0.006). For stage IV patients, 60.6% received chemotherapy and higher SED was associated with a lower rate of chemotherapy receipt compared to the lowest SED patients (55.8% vs. 66.7%, respectively; p=0.001). Conclusions: Neighborhood SED was associated with stage at diagnosis and receipt of pancreatic cancer treatment. Most eligible stage I pancreatic cancer patients in Florida do not receive curative-intent surgery and nearly half of stage IV patients do not receive chemotherapy. Higher SED is associated with lower rates of treatment. Research is urgently needed to characterize and overcome the failure to treat pancreatic cancer in Florida.[Table: see text]

The wider health and wellbeing needs of those accessing paediatric care in England: engaging with the hidden voices of children and young people

BackgroundHealth need is inextricably linked with inequalities. Health outcomes are worse for those in lower socio-economic groups, ethnic minority groups, and those with protected characteristics. In the UK, this has been compounded by the COVID-19 pandemic and the cost-of-living crisis. Children and young people accessing hospitals can have unmet health and wellbeing needs, yet the role of hospitals in addressing these is not clear. We engaged with children and young people and caregivers from under-represented groups, often excluded from patient and public involvement, to understand their experiences, in order to support the co-design of future research and interventions. MethodsA series of virtual and physical engagement events were held in Northwest England between March 9, and May 19, 2023. Community groups in areas of high socioeconomic deprivation, carers of children living with disabilities, adolescent care leavers, and school children were contacted through local websites. The concept of health inequalities was introduced at the start of sessions, and participants were encouraged to reflect on their own experiences. Discussions were co-facilitated with community leaders. Events focused on exploring experiences of health inequalities in relation to health care and views on future research. Ethics approval was not required as this was preparatory work; however, written consent was sought. Financial compensation was provided. FindingsA total of 30 participants (aged 10 years and older) participated in four, 90 min events. Themes included: difficulties with transport and navigating services, lack of staff awareness about disabilities, and concerns about transitioning to adult services. Groups expressed varied opinions about research into health inequalities. The topic was considered to be important, and remuneration for participation was felt to be crucial. This is important because of the long-term nature of health inequality outcomes, which result in no immediate benefit to participants themselves. InterpretationUsers of health-care services—including rarely heard groups—welcome research into health inequalities, but they identified important future considerations. Limitations of the work include its small scale and its location in a single geographical area. The outputs of this study will be combined with a scoping review and a review of local population data and will be essential in designing future research and producing recommendations for health-care services. FundingManchester University NHS Foundation Trust Charity.

Invitation strategies and participation in a community-based lung cancer screening programme located in areas of high socioeconomic deprivation

IntroductionAlthough lung cancer screening is being implemented in the UK, there is uncertainty about the optimal invitation strategy. Here, we report participation in a community screening programme following a population-based...

Levelling up or left behind? Does increasing GP training numbers inadvertently widen health inequalities?

Increasing the GP workforce will not automatically level up healthcare provision; instead, increasing GP training numbers could worsen health inequity and inequalities. This is especially of concern if there are fewer opportunities to learn, train, and build confidence in under-served, socioeconomically deprived areas. To examine how representative of wider socioeconomic deprivation the postgraduate GP training practices are in Northern Ireland (NI). The deprivation indices and scores of GP postgraduate training practices were compared against general practice in NI. Representation of practices whose patients live in blanket deprivation, higher deprivation, and higher affluence was compared. Of 319 practices in NI, 171 (54%) were registered as postgraduate training practices and had a mean deprivation score of 3.02 (95% CI [confidence interval] = 2.91 to 3.12) compared with non-training practices' higher mean deprivation score of 3.2 (95% CI = 3.01 to 3.33), P-value <0.05. The proportion of training practices with blanket deprivation and higher levels of deprivation are marginally underrepresented and training practices had higher affluence scores. Postgraduate training practices had a statistically significant lower deprivation score and did not fully reflect the socioeconomic make-up of wider NI general practice. The results, however, are more favourable than the representation in other areas of the UK and better than undergraduate teaching opportunities in general practice. As GP recruitment is increased, representation of general practice in areas of high need and high socioeconomic deprivation is essential, otherwise it risks widening health inequalities.

Estimating quality of life: A spatial microsimulation model of well-being in Aotearoa New Zealand

Quality of life is a complex concept characterised by several dualities, it has many definitions depending on the field of research and an abundance of diverse objective and subjective measures. The latter often represents the extent of perceived (dis)satisfaction with various domains of life experienced by individuals or groups, and research is increasingly focusing on subjective measures of well-being to better understand personal drivers related to quality of life. A better understanding of these factors at a local level has potential to shed light on an often-overlooked aspect of the mental health landscape in Aotearoa New Zealand. Individual-level data on adults (15+ years) is sourced from the New Zealand Attitudes and Values Study 2018 (N = 47,949) and aggregate-level data from the Census 2018 (N = 3,775,854). Matching constraint variables include sex, age, ethnicity, highest qualification, and labour force status. Outcome variables include personal and national well-being scores from 0 to 10 (extremely dissatisfied–extremely satisfied). Spatial microsimulation is used to create a synthetic population based on the above data. Results show lower mean national well-being scores than personal well-being scores, with spatial variations that broadly reflect patterns of socioeconomic deprivation. Low mean values for both personal and national well-being scores are seen in rural areas of high socioeconomic deprivation, particularly those with large Māori populations. High mean values are associated with areas of low deprivation. Additionally, high national well-being scores are associated with areas of agricultural activity, particularly in the South Island. Consideration should be given to factors that influence responses in such topics however, including demographic profiles as well as economic and social conditions of individuals and their surrounding communities. This study demonstrates that spatial microsimulation can be used as a powerful tool to understand population well-being. It can help support future planning and resource allocation, aiding in achieving health equity.

Association of socioeconomic deprivation with sleep health in patients with type 2 diabetes.

To investigate the association between socioeconomic deprivation and indicators of sleep health among patients with type 2 diabetes mellitus (T2DM), and additionally, to examine whether socioeconomic deprivation is associated with higher glycated haemoglobin (HbA1c) levels in these patients. We analysed data from the UK Biobank, consisting of 17 206 participants with T2DM, to explore the relationship between socioeconomic deprivation, self-reported indicators of sleep health, and HbA1c levels. Socioeconomic deprivation was assessed using the Townsend deprivation index. Participants were divided into two groups: low socioeconomic deprivation (n = 8604; reference group) and high socioeconomic deprivation (n = 8602). Logistic regression models were employed, adjusting for covariates such as body mass index (BMI), age, and biological sex. Patients with high socioeconomic deprivation had higher odds of reporting usual difficulties falling asleep or sleeping through the night (adjusted odds ratio 1.20, 95% confidence interval [CI] 1.12, 1.28), and they were more likely to use at least one hypnotic medication (adjusted odds ratio 1.41, 95% CI 1.09, 1.84). They also had higher odds of reporting snoring and difficulties staying awake during the daytime (adjusted odds ratio 1.09, 95% CI 1.01, 1.18), as well as experiencing short sleep duration (defined as <6 hours of sleep per day; adjusted odds ratio 1.69, 95% CI 1.50, 1.91). Moreover, patients with high socioeconomic deprivation had increased odds of experiencing comorbid sleep problems (P ≤ 0.001). Finally, high socioeconomic deprivation was associated with a 0.1% higher HbA1c level (P < 0.001). Controlling for indicators of poor sleep health did not alter the strength of this association. Socioeconomic deprivation may represent a risk factor for poor sleep health in patients with T2DM.

Impact of High Neighborhood Socioeconomic Deprivation on Access to Accredited Breast Imaging Screening and Diagnostic Facilities

PurposeThe aim of this study was to evaluate the presence or absence of accredited breast imaging facilities in ZIP codes with high or low neighborhood socioeconomic deprivation. MethodsA retrospective ecological study design was used. Neighborhood socioeconomic disadvantage rankings at the ZIP code level were defined by the University of Wisconsin Neighborhood Atlas Area Deprivation Index. Outcomes included the presence or absence of FDA- or ACR-accredited mammographic facilities, accredited stereotactic biopsy or breast ultrasound facilities, and ACR Breast Imaging Centers of Excellence. US Department of Agriculture rural-urban commuting area codes were used to define urban and rural status. Access to breast imaging facilities in high-disadvantage (≥97th percentile) and low-disadvantage (≤3rd percentile) ZIP codes was compared using χ2 tests, stratified by urban or rural status. ResultsAmong 41,683 ZIP codes, 2,796 were classified as high disadvantage (1,160 rural, 1,636 urban) and 1,028 as low disadvantage (39 rural, 989 urban). High-disadvantage ZIP codes were more likely rural (P < .001) and less likely to have FDA-certified mammographic facilities (28% versus 35%, P < .001), ACR-accredited stereotactic biopsy (7% versus 15%, P < .001), breast ultrasound (9% versus 23%, P < .001), or Breast Imaging Centers of Excellence (7% versus 16%, P < .001). Among urban areas, high-disadvantage ZIP codes were less likely to have FDA-certified mammographic facilities (30% versus 36%, P = .002), ACR-accredited stereotactic biopsy (10% versus 16%, P < .001), breast ultrasound (13% versus 23%, P < .001), and Breast Imaging Centers of Excellence (10% versus 16%, P < .001). ConclusionsPeople living in ZIP codes with high socioeconomic disadvantage are less likely to have accredited breast imaging facilities within their ZIP codes, which may contribute to disparities in access to breast cancer care experienced by underserved groups living in these areas.

Association of Race and Neighborhood Socioeconomic Disadvantage with Incident Peripheral Artery Disease and Chronic Limb-threatening Ischemia

There are disparities in peripheral artery disease (PAD) outcomes according to both race and socioeconomic disadvantage separately. However, few studies have investigated the association of race and socioeconomic deprivation together with risk of PAD. We aimed to investigate the association of race and socioeconomic disadvantage with risk of incident PAD and incident chronic limb-threatening ischemia (CLTI). We included all non-Hispanic white and non-Hispanic Black adults in the Maryland Health Services Cost Review Commission from January 2013 through December 2019 without prevalent PAD or CLTI at their index visit. PAD and CLTI were defined by inpatient and outpatient diagnosis codes. Socioeconomic disadvantage was determined by the area deprivation index (ADI), a comprehensive measure of socioeconomic deprivation, using nine-digit zip codes. Patients living in neighborhoods with greater socioeconomic deprivation (ADI 3 and 4) were categorized as high ADI, while patients living in neighborhoods with lower socioeconomic deprivation (ADI 1 and 2) were categorized as low ADI. We estimated the cumulative incidence of PAD and CLTI and quantified hazard ratios (HR) using multivariable Cox proportional hazards models across four race and ADI groups after correcting for traditional demographic and cardiovascular risk factors. A total of 5,592,650 adult patients without PAD or CLTI at baseline (51.6% ≥65 years of age, 37.9% Black, 31.2% with high ADI) were followed for a median of 10.71 years (interquartile range, 5-31 years). The overall cumulative incidence of PAD and CLTI was 22% and 6%, respectively, and varied significantly by race and ADI (Figs 1 and 2). After adjusting for baseline differences between groups, the risk of incident PAD was highest for the Black-high ADI group (hazard ratio [HR], 1.40; 95% confidence interval [CI], 1.38-1.43), followed by White-high ADI (HR, 1.22; 95% CI, 1.20-1.24) and Black-low ADI (HR, 1.00; 95% CI, 0.99- 1.01) compared to White-low ADI (Table). Similarly, the risk of incident CLTI was highest for the Black-high ADI group (HR, 1.52; 95% CI, 1.48-1.57), followed by White-high ADI (HR, 1.38; 95% CI, 1.33-1.42), then Black-low ADI (HR, 1.14; 95% CI, 1.11-1.17) compared to White-low ADI. Previously reported racial differences in risk of PAD and CLTI are largely explained by socioeconomic deprivation, as characterized by ADI. Adults living in areas with higher socioeconomic deprivation are at higher risk of incident PAD and CLTI than their less socioeconomically deprived counterparts.Fig 2Cumulative Incidence Function Curves of Incident CLTI in health Services Cost Review Commission Database from 2013 through 2019 Stratified by Race and ADI.View Large Image Figure ViewerDownload Hi-res image Download (PPT)

(312) Area Deprivation Index in Men Undergoing AUS Placement– Community Resource Limitations Do Not Correlate with Poorer Device or Satisfaction Outcomes

Abstract Introduction Outcomes following artificial urinary sphincter (AUS) placement have been associated with non-urologic health metrics including hemoglobin A1c and BMI, as well as with health literacy and frailty. Concerns about these patient factors may lead urologic prosthetic surgeons to alter their recommendations for stress urinary incontinence treatment to avoid poor patient outcomes. The Area Deprivation Index (ADI) is a ranking system to measure socioeconomic disadvantage between neighborhoods and correlates with rates of chronic medical conditions such as diabetes and cardiovascular disease, as well as healthcare service utilization and death. This ranking system includes a composite score of patient income, education level, employment status and housing quality. Evaluating socioeconomic disadvantage may help implanters tailor their patient counseling and improve patient pre- and postoperative education. Objective We sought to characterize variability in functional, subjective, and objective outcomes following AUS placement according to ADI. Methods Patients were identified by CPT codes for AUS insertion, removal/replacement, and revision from 2014 to 2022 at our institution. National percentile ADI was obtained using the Neighborhood Atlas® (Madison, WI) based on patient home address. Higher ADI scores indicate greater socioeconomic disadvantage. Associations of ADI with post-AUS satisfaction, device survival, and complications including (I) any Clavien-Dindo complication and (II) complications requiring surgical intervention. Patient satisfaction was assessed on a 1-5 Likert scale based on telephone interviews. Results 284 patients met inclusion criteria with 232 having data available regarding complications. Median ADI scores in our cohort was 59 (41-75), and we divided the cohort according to high (&amp;gt;58) and low socioeconomic deprivation groups based on this cutoff. Of these, 53 (22.8%) experienced any complication following AUS procedure, over a median of 6.3 months follow up. Device survival at last follow up was similar between low (88.8%) and high ADI groups (92%, P=0.41). Patients with low and high ADI scores had similar overall complication rates (21.6% vs. 24.4%; P=0.64) of any Clavien-Dindo score. Device survival was high at last follow up regardless of ADI score (88.8% vs. 92.0%; P=0.41) with total follow up also being similar between groups (5.64 mo vs. 8.01 mo; P=0.23). Time from prostatectomy to AUS implantation was also similar between high and low ADI groups (4.23 years vs. 4.17 years, P=0.70) Finally, patient satisfaction was very high in both the low and high ADI groups (5 vs. 5; P=0.41). Conclusions ADI was not associated with time to sphincter implantation, postoperative complications, patient satisfaction or device survival. Despite ADI capturing several factors that potentially impact a patient’s ability to optimally access medical care-including income, education and housing quality, we found no evidence that socioeconomic disadvantage by ADI scores was predictive of poorer outcomes, satisfaction, or suboptimal follow up. Disclosure No