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BACKGROUND: Individual adverse social determinants of health are associated with increased risk of diabetes in pregnancy, but the relative influence of neighborhood or community-level social determinants of health is unknown. OBJECTIVE: This study aimed to determine whether living in neighborhoods with greater socioeconomic disadvantage, food deserts, or less walkability was associated with having pregestational diabetes and developing gestational diabetes. STUDY DESIGN: We conducted a secondary analysis of the prospective Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-To-Be. Home addresses in the first trimester were geocoded at the census tract level. The exposures (modeled separately) were the following 3 neighborhood-level measures of adverse social determinants of health: (1) socioeconomic disadvantage, defined by the Area Deprivation Index and measured in tertiles from the lowest tertile (ie, least disadvantage [T1]) to the highest (ie, most disadvantage [T3]); (2) food desert, defined by the United States Department of Agriculture Food Access Research Atlas (yes/no by low income and low access criteria); and (3) less walkability, defined by the Environmental Protection Agency National Walkability Index (most walkable score [15.26-20.0] vs less walkable score [

Greater neighborhood disadvantage is associated with poorer global cognition. However, less is known about the variation in the magnitude of neighborhood effects across individual cognitive domains and whether the strength of these associations differs by individual-level factors. The current study investigated these questions in a community sample of older adults (N = 166, mean age = 72.5 years, 51% women), who reported current addresses, linked to state-level Area Deprivation Index rankings, and completed remote and validated neuropsychological tests of verbal intelligence (North American Adult Reading Test), verbal fluency (Controlled Oral Word Association Test), attention (Digit Span Forward), and working memory (Digit Span Backward and Sequencing, Letter-Number Sequencing). Linear regressions tested associations between neighborhood disadvantage and each cognitive test, controlling for individual-level factors (age, sex, education). Exploratory analyses tested moderation by each individual-level factor. Independent of individual-level factors, greater neighborhood disadvantage was associated with lower cognitive performance across domains: verbal intelligence (β = 0.30, p < .001), verbal fluency (β = −0.19, p = .014), attention (β = −0.19, p = .024), and two of three tests of working memory (β = −0.17− −0.22, ps = .004−.039). Results were robust to correction for multiple comparisons and tests of spatial autocorrelation. In addition, higher neighborhood disadvantage was associated with lower verbal fluency for older – but not younger-older adults (p = .035) and with poorer working memory in women but not men (p < .001). Education did not moderate associations. Findings suggest that older adults living in more disadvantaged neighborhoods exhibit lower cognitive performance, particularly in the domain of verbal intelligence. Continued investigation of effect modification may be fruitful for uncovering for whom associations are strongest. [ABSTRACT FROM AUTHOR]

Introduction: The role socioeconomic status (SES) on outcomes following bariatric surgery has been heavily investigated in previous studies. The goal of this study is to determine the association between Area Deprivation Index (ADI), a multidimensional indicator of socioeconomic conditions, and remission of type 2 diabetes mellitus following longitudinal sleeve gastrectomy (SG). Methods: This is a retrospective analysis of 312 patients undergoing LSG at a single-center in a metropolitan hospital setting over two years. Socioeconomic disadvantage was assessed by ADI, a model that incorporates education, income, employment and housing stock to rank neighborhoods both on the state and the national level. Type 2 diabetes mellitus (T2DM) was defined as utilization of diabetes medication or HgA1C of greater than 6.5% within a 3 months period, and was assessed at three time points: pre-op, 6-month follow-up and 1-year follow-up. Results: In this cohort of individuals presenting for LSG, 72 (23.1%) had T2DM. The mean ADI of patients with T2DM (41.1 ± 17.1) was not statistically different from the group without T2DM (45.0 ± 16.4; p = 0.08631). By one year follow-up, 39 (60.0%) of individuals with T2DM had achieved remission. The ADI for individuals that achieved T2DM resolution was not different from the ADI of the group that did not (38.1 ± 15.4 vs 45.3 ± 17.7; p = 0.0958). In individuals with T2DM at baseline, 47 (65%) had A1C pre-op and A1C at 1 year follow-up; there was a significant reduction in Hgb-A1c (−0.71; −12.3%; p < 0.01). There was no correlation between change in A1C at 1 year and ADI national rank (p = 0.26). Discussion: We did not find a significant association between ADI and resolution of T2DM following sleeve gastrectomy. Resolution of T2DM following SG can be achieved by individuals regardless of SES. This supports the continued use of SG for socioeconomically deprived populations. In addition, we did not find an association between resolution of T2DM and weight loss, the most commonly used outcome metric following bariatric surgery [ABSTRACT FROM AUTHOR]

While structural socioeconomic inequity has been linked with inferior health outcomes, some have postulated reduced access to high-quality care to be the mediator. We assessed whether treatment at high-volume centers (HVC) would mitigate the adverse impact of area deprivation on heart transplantation (HT) outcomes. All HT recipients ≥18 years were identified in the 2005-2022 Organ Procurement and Transplantation Network. Neighborhood socioeconomic deprivation was assessed using the previously validated Area Deprivation Index. Recipients with scores in the highest quintile were considered Most Deprived (others: Less Deprived). Hospitals in the highest quartile by cumulative center volume (≥21 transplants/year) were classified as HVC. The primary outcome was post-transplant survival. Of 38,022 HT recipients, 7,579 (20%) were considered Most Deprived. Following risk adjustment, Most Deprived demonstrated inferior survival at 3 (hazard ratio [HR] 1.14, 95% confidence interval [CI] 1.06-1.21) and 5 years following transplantation (HR 1.13, CI 1.07-1.20). Similarly, Most Deprived faced greater graft failure at 3 (HR 1.14, CI 1.06-1.22) and 5 years (HR 1.13, CI 1.07-1.20). Evaluating patients transplanted at HVC, Most Deprived continued to face greater mortality at 3 (HR 1.10, CI 1.01-1.21) and 5 years (HR 1.10, CI 1.01-1.19). The interaction between Most Deprived status and care at HVC was not significant, such that transplantation at HVC did not ameliorate the survival disparity between Most and Less Deprived. Area socioeconomic disadvantage is independently associated with inferior survival. Transplantation at HVC did not eliminate this inequity. Future efforts are needed to increase engagement with longitudinal follow-up care and address systemic root causes to improve outcomes. [ABSTRACT FROM AUTHOR]

Introduction: Patients who sustain tibial shaft fractures are at risk for delayed recognition of complications with inadequate postoperative follow-up. Area Deprivation Index (ADI) is a surrogate which may be used to analyze the effects of socioeconomic deprivation on postoperative follow-up rates. The purpose of this study was to determine if ADI is associated with incomplete postoperative follow-up after intramedullary (IM) nailing for fractures of the tibial diaphysis. Materials and methods: 263 patients who underwent IM nailing of extra-articular tibia fractures were retrospectively reviewed. Predictors of incomplete follow-up that were assessed included ADI, Charlson Comorbidity Index (CCI), length of stay (LOS), and discharge disposition. Additional potential predictors included age, sex, race, history of substance abuse, insurance coverage and the presence of polytrauma. ADI was categorized into terciles with T1 (ADI: 1–68; n = 88), T2 (ADI: 69–89; n = 87), and T3 (ADI: 90–100; n = 88) representing the least deprived, intermediate, and most deprived terciles, respectively. Incomplete follow-up was defined as no follow-up after discharge from the hospital or partial follow-up without clearance from orthopaedic care. Results: Terciles did not differ significantly for LOS (p = 0.351), rates of discharge to home (p = 0.728), differences in CCI (p = 0.972) or health insurance coverage (p = 0.369). ADI was the sole significant predictor of incomplete postoperative follow-up (p < 0.001). Compared to T1, there was a significantly higher risk of incomplete follow-up in both T2 (RR = 1.75, 95% CI: 1.20–2.56) and T3 (RR = 1.88, 95% CI: 1.30–2.74). There was only a marginal difference between T2 and T3 for incomplete follow-up risk (RR = 1.08, 95% CI: 0.82–1.42). Conclusion: Patients from areas of higher socioeconomic deprivation are more likely to have incomplete postoperative follow-up after IM nailing of tibial shaft fractures. Allocation of resources towards these patients to improve postoperative follow-up may allow earlier detection of newly developing complications, and avoidance of the cost and morbidity associated with late treatment. Level of evidence: III. [ABSTRACT FROM AUTHOR]

Socioeconomic status has been shown to impact a patient's access to orthopedic care, but outcomes such as compliance with physical therapy and time to return to full activities has not been established. The aim of this study is to investigate the impact of socioeconomic status on physical therapy compliance and return to play time specifically in patients with shoulder instability. The area deprivation index (ADI) is a validated tool using factors from the US Census that measures socioeconomic deprivation in neighborhoods. Our hypothesis is that patients with higher socioeconomic deprivation are more likely to have more missed scheduled physical therapy appointments and a longer return to play after arthroscopic shoulder labrum repair for instability. This study included patients who underwent arthroscopic shoulder labrum repair between 2019 and 2023 at a single orthopedic hospital by a single surgeon. Demographic information (race, age, and sex), insurance type, ADI, physical therapy no-show visit rates, and return to play times were recorded. The cohort included 73 patients, 14 of whom did not have return to play times. A total of 82.2% of the patients were male, 63.0% were White, and the mean age was 24 years. Patients with increasing ADI were significantly more likely not to attend a scheduled physical therapy session (P =.035). No association between ADI and return to play time was found (P =.165). No significant association between insurance type (private vs. Medicaid) and missed scheduled physical therapy appointments (P =.139) and return to play times was found (P =.741). Increasing socioeconomic deprivation is associated with increased likelihood to miss scheduled physical therapy visits after shoulder instability surgery. These findings elucidate gaps in orthopedic care as postoperative physical therapy is a crucial part in the comprehensive care of shoulder instability. [ABSTRACT FROM AUTHOR]

Low socioeconomic status has been shown to contribute to poor outcomes in patients undergoing joint replacement surgery. However, there is a paucity of studies investigating shoulder arthroplasty. The purpose of this study was to evaluate the effect of socioeconomic status on baseline and postoperative outcome scores and implant survivorship after anatomic and reverse primary total shoulder arthroplasty (TSA). A retrospective review of a prospectively collected single-institution database was performed to identify patients who underwent primary TSA. Zip codes were collected and converted to Area Deprivation Index (ADI) scores. We performed a correlation analysis between national ADI scores and preoperative, postoperative, and preoperative to postoperative improvement in range of motion (ROM), shoulder strength, and functional outcome scores in patients with minimum 2-year follow-up. Patients were additionally grouped into groups according to their national ADI. Achievement of the minimum clinically important difference (MCID), substantial clinical benefit (SCB), and patient acceptable symptom state (PASS) and revision-free survivorship were compared between groups. A total of 1148 procedures including 415 anatomic and 733 reverse total shoulder arthroplasties with a mean age of 64 ± 8.2 and 69.9 ± 8.0 years, respectively, were included. The mean follow-up was 6.3 ± 3.6 years for anatomic and 4.9 ± 2.7 years for reverse total shoulder arthroplasty. We identified a weak negative correlation between national ADI and most functional outcome scores and ROM preoperatively (R range 0.07-0.16), postoperatively (R range 0.09-0.14), and preoperative to postoperative improvement (R range 0.01-0.17). Thus, greater area deprivation was weakly associated with poorer function preoperatively, poorer final outcomes, and poorer improvement in outcomes. There was no difference in the proportion of each ADI group achieving MCID, SCB, and PASS in the anatomic total shoulder arthroplasty cohort. However, in the reverse total shoulder arthroplasty cohort, the proportion of patients achieving MCID, SCB, and PASS decreased with greater deprivation. There was no difference in survivorship between ADI groups. We found a negative effect of low socioeconomic status on baseline and postoperative patient outcomes and ROM; however, the correlations were relatively weak. Patients that reside in socioeconomically deprived areas have poorer functional outcomes before and after TSA and achieve less improvement from surgery. We should strive to identify modifiable factors to improve the success of TSA in socioeconomically deprived areas. [ABSTRACT FROM AUTHOR]

Arthroscopic rotator cuff repair (ARCR) is one of the most common orthopedic procedures in the general population. Despite its prevalence, the price of ARCR varies significantly across regions, hospital models, and settings. The purpose of this study was to examine the effect of Geographic Region, Certificate of Need (CON) laws, and Medicaid expansion on ARCR pricing. This cross-sectional observational study used hospital payer-specific ARCR prices from the Turquoise Health Database using Current Procedural Terminology code 29827. These prices are negotiated rates or charges that hospitals establish with various payers, including insurance companies, Medicare, Medicaid, and self-pay patients, for medical services and treatments provided. Outliers below the 10th percentile and above the 90th percentile were excluded. State policies, including CON status and Medicaid expansion, were obtained from public sources, whereas additional socioeconomic and demographic data were sourced from the US Census. The state's region classification was determined based on 1 of 4 Geographic Regions defined by the US Census Bureau. A detailed analysis was also conducted for North Carolina, examining county-level data on urbanization and the Area Deprivation Index. There were 57,270 ARCR prices from 2503 hospitals across the United States, with a median interquartile range listed price of $6428.17 (interquartile range: $2886.88). States with CON regulations had significantly lower ARCR prices than those without ($6500 vs. $8000, P <.0001). Multivariable analysis indicated that hospitals in the Northeast and West Regions listed significantly higher prices for ARCR than those in the Midwest Region (P <.0001). In contrast, hospitals in the South Region listed lower prices for ARCR than those in the Midwest Region (P <.0001). Medicaid expansion was associated with increased ARCR prices (P <.0001), whereas CON laws were linked to reduced prices (P <.0001). In North Carolina, Area Deprivation Index and urbanization status did not significantly affect ARCR prices. The prices listed for ARCR varied significantly depending on the Geographic Region where hospitals were located. In addition, CON laws were associated with reduced ARCR prices, whereas Medicaid expansion correlated with increased prices. These findings highlight the complex interplay between health care policy, regulatory frameworks, and socioeconomic factors in determining surgical prices. [ABSTRACT FROM AUTHOR]

Recent mandates from the Center for Medicare and Medicaid Services require United States hospitals to disclose health care service pricing. Yet, there's a gap in understanding how state-level factors affect hospital service pricing, like total shoulder arthroplasty (TSA). Comprehending these influences can help policymakers and health care providers manage costs and improve care access for vulnerable populations. The purpose of this study was to examine the effect of state characteristics such as partisan lean, certificate of need (CON) status, and Medicaid expansion on TSA price. TSA price data was extracted from the Turquoise Health Database using Current Procedural Terminology code 23472. State partisan lean was determined by evaluating each state during the 2020 election year for its legislature (both senate and house), governor, presidential vote, and Insurance Commissioner Affiliation, categorizing states as either "Republican-leaning" or "Democratic-leaning." CON status, Medicaid expansion, Area Deprivation Index (ADI), and population density information was obtained from publicly available sources. Multivariable regression models were used to assess the relationship between these factors and TSA price. The study included 2068 hospitals nationwide. The median (interquartile range) price of TSA across these hospitals was $12,607 ($9,185). In the multivariable analysis, hospitals in Republican-leaning states were associated with a significantly greater price of +$210 (P =.0151), while Medicaid expansion was also associated with greater price +$1,878 (P <.0001). CON status was associated with a significant reduction in TSA prices of −$2,880 (P <.0001). In North Carolina an ADI >85 was associated with a reduction in price (P =.0045), while urbanization designation did not significantly impact TSA price (P =.8457). This cross-sectional observational study found that Republican-leaning states and Medicaid expansion were associated with increased TSA prices, while an ADI >85 and CON laws were associated with reduced TSA prices. [ABSTRACT FROM AUTHOR]

Objective: Head and neck cancers (HNCs) have increased in prevalence and often require free‐flap reconstruction (FFR) after tumor ablation. Postoperative complications following FFR can be high, occurring in as many as 48% and 71% of cases. HNC patients also have many disparities in Social Determinants of Health (SDOH), but the potential impact of SDOH disparities on postoperative complications following FFR has not been formally assessed. Study Design: Retrospective cohort review. Setting: Academic Tertiary Care Institution in Northeast United States. Methods: Patients that underwent head and neck FFR between January 2018 and December 2021 were analyzed to determine associations between quartiles of the national Area Deprivation Index (ADI), a proxy for SDOH disparity, and various medical and surgical postoperative complications. Associations were assessed using χ2 analysis. Results: Two hundred four patients were included in the study, and 61 patients had 97 complications. Significant associations between higher national ADI quartile and incidence of several postoperative complications were identified, including any surgical complication (P =.0419), wound dehiscence (P =.0494), myocardial infarction (MI) (P =.0215), and sepsis (P =.0464). Conclusion: There are significant associations between SDOH disparities and postoperative surgical complications, wound dehiscence, MI, and sepsis following head and neck FFR. Addressing SDOH disparities in HNC is pivotal to enhance postoperative outcomes and promote holistic patient care. [ABSTRACT FROM AUTHOR]

We evaluated the relationship between neighborhood disadvantage (measured by the Area Deprivation Index [ADI]) and frailty. We performed a secondary analysis, pooling cross-sectional data collected from 209 people with HIV (PWH) aged ≥50 years enrolled in studies in Colorado (CO) and Missouri (MO). MO participants (N = 137) had a higher ADI (µ= 70, ơ2 = 25) compared to CO (µ= 32, ơ2 = 15; p <.001). No significant differences in ADI were observed between frailty categories when cohorts were examined either separately or combined; however, when comparing individual frailty criteria, the most apparent differences by neighborhood disadvantage were seen among those with limited physical activity (μ = 67, ơ2 = 28) compared to those without (μ = 55, ơ2 = 29, p =.03). Neighborhood disadvantage was associated with low physical activity but not with overall frailty status. Future research should examine how access to physical activity spaces varies based on ADI, as this could be crucial in preventing frailty. [ABSTRACT FROM AUTHOR]

Background: Socioeconomic status has been recognized as a crucial social determinant of health influencing patient outcomes. Area Deprivation Index (ADI) is a validated measure of an area's socioeconomic status. Limited data exists on the impact of ADI and clinical outcomes and complications following rotator cuff repair (RCR). The purpose of this study was to investigate the impact socioeconomic factors have on outcomes following primary arthroscopic RCR. Methods: This is a retrospective cohort study with 1-year follow-up. Patients who underwent primary rotator cuff repair at a single institution from March 2014 to September 2022 were identified. Patient demographics, pre-and post-operative visual analog scale (VAS) scores, Patient-Reported Outcomes Measurement Information System (PROMIS) scores, range of motion, complications, and subsequent ipsilateral shoulder surgeries were collected. ADI was collected from an online mapping database using each patient's home address. Patients were split into ADI terciles, with ADI1 representing the least disadvantaged group and ADI3 representing the most disadvantaged group. Analysis of variance and T-test were used for continuous variables, and chi-square analyses were conducted for categorical variables. Results: In total, 467 patients underwent RCR and had complete demographic data and postoperative follow-ups over a year. There was a significant difference in race, with 78.2% of patients identifying as black in ADI3 and 18.1% in ADI1 (P <.001). Pre-operative PROMIS-Pain Interference, VAS, forward flexion, and abduction were significantly worse in ADI3 compared to ADI1 (P =.001, P <.001, P =.012, and P =.023). At one-year postoperative, patients in ADI3 scored significantly worse than patients in ADI1 in PROMIS- Upper Extremity score (P =.016), PROMIS- Pain Interference (P <.001), VAS (P <.001), forward flexion (P <.001) and abduction (P =.034). Higher ADI scores were associated with a positive correlation for pain (r =.258, P = < 0.001) a negative correlation with upper extremity function (r = −.233, P =.026), a positive correlation with pain interference (r =.355, P <.001), and negative correlation with forward flexion (r = −.227, P <.001). There were no significant differences in postoperative complications (P =.54), retears (P =.47), or reoperations rates (P =.22). Conclusion: Lower socioeconomic status measured by ADI is associated with worse preoperative and 1-year postoperative pain, shoulder function, and range of motion following RCR. However, no differences were appreciated between cohorts regarding reoperation or complications. Level of Evidence III: Retrospective Cohort Study. [ABSTRACT FROM AUTHOR]

Background: The SARS-CoV-2 pandemic accelerated development of innovative methods for conducting research remotely via digital technologies. However, few studies have examined participant technological literacy skills or access as key social determinants of brain health in aging populations at risk of Alzheimer's disease and other dementias. Objective: To identify associations of sociodemographic and clinical characteristics, cognitive status and geolocation with digital technology access and skill within dementia research cohorts. Methods: A self-administered questionnaire surveyed digital access and literacy skills in persons enrolled across various studies conducted at Emory Goizueta Alzheimer's Disease Research Center. We investigated cognitive and sociodemographic characteristics, and neighborhood disadvantage related to these digital attributes. Results: Of 1860 participants (mean age: 65.3 years (SD:11.4)) surveyed, 71.6% were women, 87.1% Whites, 10.4% African Americans, and 46.9% had postgraduate-level education. Most participants had access to digital devices: desktop (53.7%), laptop (81.6%), tablet (71.6%), smartphone (94.6%), internet (82.0%), or videoconferencing (95.5%). Cognitively unimpaired participants had higher odds of digital access (OR:3.75; 95% CI:2.45–5.73) and skill (OR:1.22; 95% CI:1.14–1.30). Although Whites were likelier to have access (OR:1.36; 95% CI:1.01–1.82) than African Americans, no differences were found in skill between the two groups. Living in more disadvantaged neighborhoods was significantly associated with lower technology skills (OR:0.86; 95% CI:0.82–0.91). Conclusions: Cognitive impairment, race, and neighborhood socioeconomic disadvantage are significant barriers which limit digital access and skill. Improving digital knowledge, skill-building, and geographic access may encourage research participation especially in geographically remote or disadvantaged areas and help narrow sociodemographic and racial disparities existing in dementia research. [ABSTRACT FROM AUTHOR]

Background The increased prevalence of antimicrobial-resistant (AMR) infections is a significant global health threat, resulting in increased disease, deaths, and costs. The drivers of AMR are complex and potentially impacted by socioeconomic factors. We investigated the relationships between geographic and socioeconomic factors and AMR. Methods We collected select patient bacterial culture results from 2015 to 2020 from electronic health records of 2 expansive healthcare systems within the Dallas–Fort Worth, Texas, metropolitan area. Among individuals with electronic health records who resided in the 4 most populous counties in Dallas–Fort Worth, culture data were aggregated. Case counts for each organism studied were standardized per 1000 persons per area population. Using residential addresses, the cultures were geocoded and linked to socioeconomic index values. Spatial autocorrelation tests identified geographic clusters of high and low AMR organism prevalence and correlations with established socioeconomic indices. Results We found significant clusters of AMR organisms in areas with high levels of deprivation, as measured by the area deprivation index (ADI). We found a significant spatial autocorrelation between ADI and the prevalence of AMR organisms, particularly for AmpC β-lactamase and methicillin-resistant Staphylococcus aureus , with 14% and 13%, respectively, of the variability in prevalence rates being attributable to their relationship with the ADI values of the neighboring locations. Conclusions We found that areas with a high ADI are more likely to have higher rates of AMR organisms. Interventions that improve socioeconomic factors such as poverty, unemployment, decreased access to healthcare, crowding, and sanitation in these areas of high prevalence may reduce the spread of AMR. [ABSTRACT FROM AUTHOR]

Simple Summary: Image-guided superficial radiation therapy (IGSRT) is an emerging treatment option for non-melanoma skin cancers (NMSCs). The aim of this retrospective cohort study was to assess if there are relationships between patient comorbidities or socioeconomic status (SES) and outcomes from IGSRT treatment for their NMSCs. Data from 19,988 NMSCs revealed no difference in freedom from recurrence in less vs. more deprived neighborhoods (as a measurement of SES) or in patients without comorbidities vs. with many and/or severe comorbidities. This supports the use of IGSRT regardless of SES or comorbidities. Background: Non-melanoma skin cancers (NMSCs) are the most common cancers in the United States. Image-guided superficial radiation therapy (IGSRT) is an effective treatment for NMSCs. Patient comorbidities and socioeconomic status (SES) are known contributors to health disparities. However, the impact of comorbidities or SES on the outcomes of IGSRT-treated NMSCs has not yet been studied. This study evaluated freedom from recurrence in IGSRT-treated NMSCs stratified by SES and the number of comorbidities. Methods: This large retrospective cohort study evaluated associations between SES (via Area Deprivation Index (ADI)) or comorbidity (via Charlson Comorbidity Index (CCI)) and 2-, 4-, and 6-year year freedom from recurrence in patients with IGSRT-treated NMSC (n = 19,988 lesions). Results: Freedom from recurrence in less (ADI ≤ 50) vs. more (ADI > 50) deprived neighborhoods was 99.47% vs. 99.61% at 6 years, respectively (p = 0.2). Freedom from recurrence in patients with a CCI of 0 (low comorbidity burden) vs. a CCI of ≥7 (high comorbidity burden) was 99.67% vs. 99.27% at 6 years, respectively (p = 0.9). Conclusions: This study demonstrates that there are no significant effects of SES or comorbidity burden on freedom from recurrence in patients with IGSRT-treated NMSC. This supports the expansion of IGSRT in deprived neighborhoods to increase access to care, and IGSRT should be a consideration even in patients with a complex comorbidity status. [ABSTRACT FROM AUTHOR]

Study Design. Retrospective review of a single institution cohort. Objective. To determine whether area deprivation index (ADI) or social vulnerability index (SVI) is more suitable for evaluating minimum clinically important difference (MCID) achievement following elective lumbar fusion as captured by the Patient-Reported Outcomes Measurement Information System (PROMIS). Summary of Background Data. A total of 182 patients who underwent elective one-level to two-level posterior lumbar fusion between January 2015 and September 2021. Materials and Methods. ADI and SVI values were calculated from patient-supplied addresses. Patients were grouped into quartiles based on values; higher quartiles represented greater disadvantage. MCID thresholds for Pain Interference (PI) and Physical Function (PF) were determined through a distributionbased method. Multivariable logistic regression was performed to identify factors impacting MCID attainment. Univariate logistic regression was performed to determine which themes comprising SVI values affected MCID achievement. Statistical significance was set at P<0.05. Results. Multivariable logistic regression demonstrated that ADI and SVI quartile assignment significantly impacted achievement of MCID for PI (P= 0.04 and 0.01, respectively) and PF (P=0.03 and 0.02, respectively). Specifically, assignment to the third ADI and SVI quartiles were significant for PI (OR: 0.39 and 0.23, respectively), and PF (OR: 0.24 and 0.22, respectively). Race was not a significant predictor of MCID for either PI or PF. Univariate logistic regression demonstrated that among SVI themes, the socioeconomic status theme significantly affected achievement of MCID for PI (P= 0.01), while the housing type and transportation theme significantly affected achievement of MCID for PF (P= 0.01). Conclusion. ADI and SVI quartile assignment were predictors of MCID achievement. While ADI and SVI may both identify patients at risk for adverse outcomes following lumbar fusion, SVI offers greater granularity in terms of isolating themes of disadvantage impacting MCID achievement. [ABSTRACT FROM AUTHOR]

Background Socioeconomic and demographic factors contribute to disparity in prostate cancer (PCa) outcomes. We examined the impact of Area of Deprivation Index (ADI) and race on PCa incidence and lethality in a North American cohort. Methods Our cohort included men who received at least 1 prostate-Specifig Antigen (pSA) test within our Health System (1995-2022). An ADI score was assigned to each patient based on their residential census block, ranked as a percentile of deprivation relative to the national level. Individuals were further categorized into quartiles, where the fourth one (ADI 75-100) represented those living in the most deprived areas. We investigated PCa incidence and lethality, using cumulative incidence estimates and competing-risk regression. An ADI × Race interaction term examined whether the relationship between ADI and outcomes varied based on race. Results We included 134 366 patients, 25% of whom were non-Hispanic Black (NHB). Median (IQR) follow-up was 8.8 (5-17) years. At multivariate analysis, individuals from the third quartile (ADI 50-74, 95% CI = 0.83 to 0.95) and the fourth quartile (ADI ≥75, 95% CI = 0.75 to 0.86) showed significant reduced hazard ratios for PCa incidence, when compared with the first quartile (ADI <25, all P  < .001). In contrast to the overall cohort, PCa incidence increased with ADI in NHB men, who were persistently at higher hazard for both PCa incidence and lethality than non-Hispanic White (NHW), across all ADI strata (all P  < .001). Conclusions Living in more deprived areas was associated with lower PCa incidence and higher lethal disease rate. Conversely, PCa incidence increased with ADI for NHB, who consistently showed worse outcomes than NHW individuals, regardless of ADI. [ABSTRACT FROM AUTHOR]

Rationale: The disease burden of sickle cell disease (SCD) is highest among U.S. Black and Hispanic populations, which are often disproportionately represented in communities with poor air quality. There are limited data on the effects of air pollution exposure and social environmental factors on health outcomes in children with SCD. Objectives: The objectives of our study were to examine the associations between air pollution exposure and acute respiratory and vaso-occlusive pain crises (VOCs) and to further study the associations when stratifying by asthma status and neighborhood disadvantages. Methods: We conducted a retrospective study, collecting data on outpatient sick and emergency department visits, hospital admissions for respiratory events (i.e., respiratory tract infections, asthma exacerbation, acute chest syndrome), and hospitalizations for VOCs among children with SCD in a tertiary care center in New York City from 2015 to 2018. Modeled data from the New York City Community Air Survey data using home addresses' estimated street-level annual average exposure to air pollution (i.e., black carbon, particulate matter with an aerodynamic diameter ≤2.5 μm, and nitrogen dioxide). The area deprivation index (ADI) continuous national ranking percentile (1–100) was used, representing a composite index for neighborhood-level social disadvantage. We further dichotomized study participants at the upper tertile (high vs. low ADI). Multivariable Poisson regression in generalized estimating equation models were used to estimate relative risks (RRs) after adjusting for potential covariates. Results: A total of 114 children with SCD were included in this study and had between one and four annual repeated measures of annual average air pollutants over a total of 425 visits. Overall, there were no significant associations between air pollution levels and acute respiratory pain crises and VOCs among children with SCD and when stratified by asthma status. We found significant interactions between air pollution levels and the continuous ADI variable on respiratory outpatient and frequent respiratory outpatient/ED visits (P < 0.1). When stratified by high ADI, increased exposure to particulate matter with an aerodynamic diameter ≤2.5 μm was significantly associated with more frequent respiratory outpatient/emergency department visits among children residing in higher ADI neighborhoods (RR [95% confidence interval], 1.13 [1.01, 1.27]; P < 0.05), but not among those in lower ADI neighborhoods. Increased exposure to nitrogen dioxide was associated with more outpatient respiratory events for children in high ADI neighborhoods (RR [95% confidence interval], 2.74 [1.24, 6.08]; P < 0.05) compared with low ADI neighborhoods. Conclusions: Air pollution exposures increased respiratory complications among children with SCD living in deprived neighborhoods. [ABSTRACT FROM AUTHOR]

Study Design: Retrospective Chart Review. Objective: Mandible fracture is a life-altering event, and its complications can have devastating consequences for patients. Patients are therefore well-served if providers can identify their risk factors and engage strategies to reduce complication risk. The present study examines mandible trauma in an urban tertiary hospital serving an economically disadvantaged population. Methods: This review identified all patients undergoing operative repair of traumatic mandible fractures from January 2015 to December 2020. Patient risk factors, operative technique, and surgical complications (including infection, hardware failure, malunion, and mandible nonunion) were analyzed. Results: Two hundred and seventy-two patients were identified with mandible fractures; 78.3% of these injuries were related to interpersonal violence; 83.4% of patients were male, and 55.5% were African American. Based on multivariable logistic regression models, increased rates of postoperative complications were observed in patients with increasing Area Deprivation Index (Odds Ratio 1.02), mandible body fracture (OR 3.11), tobacco use disorder (OR 3.75), history of hepatitis C infection (OR 7.35), and discharge to drug and alcohol rehabilitation (OR 23.42). Conclusions: For providers treating patients with mandible fractures, the effects of comorbid substance use—including tobacco use—and inadequate discharge disposition (a reflection of financial means and insurance status) should be identified early, and steps to mitigate their consequences should be taken. Providers must recognize that patients with these comorbidities require more patience, support, and attention than patients without these risk factors. Increased engagement with multidisciplinary services such as psychiatry, addiction medicine, primary care, and social work may improve outcomes for these vulnerable patients. [ABSTRACT FROM AUTHOR]

Studies have linked socioeconomic factors including lower income and minority race with worse functional outcomes following total knee arthroplasty (TKA). Arthrofibrosis is a common complication following TKA, and manipulation under anesthesia (MUA) is an effective treatment option for arthrofibrosis. This study aimed to determine if neighborhood-level socioeconomic disadvantage predicts need for MUA and postoperative range of motion (ROM) among patients undergoing primary elective TKA. We performed a retrospective cohort study of primary TKAs performed at a single institution over a three-year duration. Area Deprivation Index (ADI) was used to determine each patient's level of socioeconomic disadvantage based on their home address. Patients were allocated into three groups based on ADI: least socioeconomic disadvantage (ADI 1–3), middle socioeconomic disadvantage (ADI 4–6), and most socioeconomic disadvantage (ADI 7–10). Demographic factors and comorbid conditions were recorded. Bivariate analysis was used to evaluate the relationship between degree of socioeconomic disadvantage and need for MUA and postoperative ROM. In total, 600 patients were included and 26.7 % were categorized as most disadvantaged. In comparison to the middle and least disadvantaged groups, these patients were more likely to be Women (71.2 vs. 67.9 and 58.6 %; p = 0.027), younger (60.7 vs. 62.9 and 66.3 years; p < 0.001) and have higher BMI (34.9 vs. 33 and 31.7; p < 0.001) (most disadvantaged vs. middle and least). Analysis revealed no difference in rate of MUA (6.3 vs. 2.5 vs. 4 %; p = 0.179) or postoperative ROM (98 vs. 98 vs. 100°; p = 0.753) between the three groups (most, middle, and least disadvantaged, respectively). Neighborhood socioeconomic disadvantage does not predict rate of MUA or postoperative ROM following TKA. Patients residing in neighborhoods with higher ADI who underwent TKA were more likely to be younger, Women, and have higher BMI, consistent with previous literature. Our results support efforts to improve access to orthopaedic care, including TKA, to patients of all socioeconomic levels. [ABSTRACT FROM AUTHOR]

Background: Low neighborhood socioeconomic status is associated with adverse health outcomes, but its association with health care costs in older adults is uncertain. Objectives: To estimate the association of neighborhood Area Deprivation Index (ADI) with total, inpatient, outpatient, skilled nursing facility (SNF), and home health care (HHC) costs among older community-dwelling Medicare beneficiaries, and determine whether these associations are explained by multimorbidity, phenotypic frailty, or functional impairments. Design: Four prospective cohort studies linked with each other and with Medicare claims. Participants: In total, 8165 community-dwelling fee-for-service beneficiaries (mean age 79.2 years, 52.9% female). Main Measures: ADI of participant residence census tract, Hierarchical Conditions Category multimorbidity score, self-reported functional impairments (difficulty performing four activities of daily living), and frailty phenotype. Total, inpatient, outpatient, post-acute SNF, and HHC costs (US 2020 dollars) for 36 months after the index examination. Key Results: Mean incremental annualized total health care costs adjusted for age, race/ethnicity, and sex increased with ADI ($3317 [95% CI 1274 to 5360] for the most deprived vs least deprived ADI quintile, and overall p-value for ADI variable 0.009). The incremental cost for the most deprived vs least deprived ADI quintile was increasingly attenuated after separate adjustment for multimorbidity ($2407 [95% CI 416 to 4398], overall ADI p-value 0.066), frailty phenotype ($1962 [95% CI 11 to 3913], overall ADI p-value 0.22), or functional impairments ($1246 [95% CI –706 to 3198], overall ADI p-value 0.29). Conclusions: Total health care costs are higher for older community-dwelling Medicare beneficiaries residing in the most socioeconomically deprived areas compared to the least deprived areas. This association was not significant after accounting for the higher prevalence of phenotypic frailty and functional impairments among residents of socioeconomically deprived neighborhoods. [ABSTRACT FROM AUTHOR]

ABSTRACT Objective Design Sample Measurements Results Conclusion This study examined the influence of nutrition literacy and neighborhood on diet quality within the Mexican‐origin population residing in the United States, addressing a gap in existing literature that lacks focus on specific Latinx subgroups.This study used a descriptive, correlational design to examine the relationships between nutrition literacy, neighborhood ranking, and diet quality.A total of 130 Mexican origin participants living in the United States completed all components of this study.Participants completed demographics, the Nutrition Literacy Assessment Instrument (NLit), Area Deprivation Index (ADI), and Diet History Questionnaire III (DHQ3).Compared to the national average of 59, participants’ average score was 63.16. When examining subgroups of diet quality, participants scored poorly compared to the national average for saturated fats, seafood, and plant proteins. Nutrition literacy was a predictor of total protein foods, seafood, and plant proteins, while the ADI was a predictor of increased refined grains score.The present study provides insights about the influencing factors of diet quality in this population. Given the essential role diet has in shaping health outcomes and preventing chronic illness, addressing dietary subgroups within the Latinx population is critical to accurately informing nursing interventions and patient education. [ABSTRACT FROM AUTHOR]

Simple Summary: Disparities in outcomes for non-small cell lung cancer (NSCLC) may result from socioeconomic factors and variable healthcare access. We sought to examine the impact of area-level socioeconomic deprivation on access to care and outcomes for early-stage NSCLC in United States Veterans. We studied 9704 patients with clinical stage I NSCLC who underwent surgical treatment in the Veterans Health Administration (VHA) between 2006 and 2016 using a uniquely compiled database. Area-level socioeconomic deprivation was not associated with overall survival or cancer recurrence. However, high levels of socioeconomic deprivation were associated with inadequate adherence to care quality measures and increased risk of postoperative readmission. These results suggest that Veterans with high socioeconomic deprivation experience suboptimal access to quality preoperative and postoperative care for early-stage NSCLC but do not have inferior long-term outcomes following surgery. Future VHA policies should aim to provide more equitable guideline-concordant care and reduce postoperative readmission for early-stage NSCLC. Background: Socioeconomic deprivation has been associated with higher lung cancer risk and mortality in non-Veteran populations. However, the impact of socioeconomic deprivation on outcomes for non-small cell lung cancer (NSCLC) in an integrated and equal-access healthcare system, such as the Veterans Health Administration (VHA), remains unclear. Hence, we investigated the impact of area-level socioeconomic deprivation on access to care and postoperative outcomes for early-stage NSCLC in United States Veterans. Methods: We conducted a retrospective cohort study of patients with clinical stage I NSCLC receiving surgical treatment in the VHA between 1 October 2006 and 30 September 2016. A total of 9704 Veterans were included in the study and assigned an area deprivation index (ADI) score, a measure of socioeconomic deprivation incorporating multiple poverty, education, housing, and employment indicators. We used multivariable analyses to evaluate the relationship between ADI and postoperative outcomes as well as adherence to guideline-concordant care quality measures (QMs) for stage I NSCLC in the preoperative (positron emission tomography [PET] imaging, appropriate smoking management, pulmonary function testing [PFT], and timely surgery [≤12 weeks after diagnosis]) and postoperative periods (appropriate surveillance imaging, smoking management, and oncology referral). Results: Compared to Veterans with low socioeconomic deprivation (ADI ≤ 50), those residing in areas with high socioeconomic deprivation (ADI > 75) were less likely to have timely surgery (multivariable-adjusted odds ratio [aOR] 0.832, 95% confidence interval [CI] 0.732–0.945) and receive PET imaging (aOR 0.592, 95% CI 0.502–0.698) and PFT (aOR 0.816, 95% CI 0.694–0.959) prior to surgery. In the postoperative period, Veterans with high socioeconomic deprivation had an increased risk of 30-day readmission (aOR 1.380, 95% CI 1.103–1.726) and decreased odds of meeting all postoperative care QMs (aOR 0.856, 95% CI 0.750–0.978) compared to those with low socioeconomic deprivation. There was no association between ADI and overall survival (adjusted hazard ratio [aHR] 0.984, 95% CI 0.911–1.062) or cumulative incidence of cancer recurrence (aHR 1.047, 95% CI 0.930–1.179). Conclusions: Our results suggest that Veterans with high socioeconomic deprivation have suboptimal adherence to care QMs for stage I NSCLC yet do not have inferior long-term outcomes after curative-intent resection. Collectively, these findings demonstrate the efficacy of an integrated, equal-access healthcare system in mitigating disparities in lung cancer survival that are frequently present in other populations. Future VHA policies should continue to target increasing adherence to QMs and reducing postoperative readmission for socioeconomically disadvantaged Veterans with early-stage NSCLC. [ABSTRACT FROM AUTHOR]

Objective: Lower socioeconomic status (SES) is a risk factor for poorer pain-related outcomes. Further, the neighborhood environments of disadvantaged communities can create a milieu of increased stress and deprivation that adversely affects pain-related and other health outcomes. Socioenvironmental variables such as the Area Deprivation Index, which ranks neighborhoods based on socioeconomic factors could be used to capture environmental aspects associated with poor pain outcomes. However, it is unclear whether the ADI could be used as a risk assessment tool in addition to individual-level SES. Methods: The current study investigated whether neighborhood-level disadvantage impacts knee pain-related outcomes above sociodemographic measures. Participants were 188 community-dwelling adults who self-identified as non-Hispanic Black or non-Hispanic White and reported knee pain. Area Deprivation Index (ADI; measure of neighborhood-level disadvantage) state deciles were derived for each participant. Participants reported educational attainment and annual household income as measures of SES, and completed several measures of pain and function: Short-form McGill Pain Questionnaire, Western Ontario and McMaster Universities Osteoarthritis Index, and Graded Chronic Pain Scale were completed, and movement-evoked pain was assessed following the Short Physical Performance Battery. Hierarchical linear regression analyses were used to assess whether environmental and sociodemographic measures (i.e., ADI 80/20 [80% least disadvantaged and 20% most disadvantaged]; education/income, race) were associated with pain-related clinical outcomes. Results: Living in the most deprived neighborhood was associated with poorer clinical knee pain-related outcomes compared to living in less deprived neighborhoods (ps < 0.05). Study site, age, BMI, education, and income explained 11.3–28.5% of the variance across all of the individual pain-related outcomes. However, the ADI accounted for 2.5–4.2% additional variance across multiple pain-related outcomes. Conclusion: The ADI accounted for a significant amount of variance in pain-related outcomes beyond the control variables including education and income. Further, the effect of ADI was similar to or higher than the effect of age and BMI. While the effect of neighborhood environment was modest, a neighborhood-level socioenvironmental variable like ADI might be used by clinicians and researchers to improve the characterization of patients' risk profile for chronic pain outcomes. [ABSTRACT FROM AUTHOR]

To quantify the effect of neighborhood socioeconomic vulnerability as it relates to racial disparity in uterine cancer treatment and survival. Patients with a diagnosis of uterine cancer who underwent hysterectomy in New York State from 2004 to 2017 were included in this retrospective cohort study. Neighborhood socioeconomic vulnerability as quantified by the Area Deprivation Index was calculated. Primary outcome was guideline adherent treatment; secondary outcome was 5 year overall survival. A total of 34,356 patients were included in the final cohort. Residence within a vulnerable neighborhood was associated with a lower likelihood of receiving appropriate adjuvant chemotherapy (59.7% vs 75.7% with aRR = 0.81; 95% CI, 0.77–0.86) and timely surgery (63.7% vs. 74.5% with aRR = 0.85; 95% CI, 0.82–0.87). All-cause mortality was 24% higher for those who resided in vulnerable neighborhoods compared to affluent neighborhoods (aHR = 1.24; 95% CI, 1.16–1.32). The greatest Black/White racial disparity in 5 year overall survival was seen in the most affluent neighborhoods at 18.6%, with survival being 79.8% for White patients and 61.2% for Black patients (aHR 1.31; 95% CI 1.14–1.51). For patients with advanced stage disease, this disparity was driven by improved survival for White patients with increasing neighborhood affluence but no change in survival for Black patients. On adjusted analysis controlling for age, comorbidities, insurance, tumor histology, stage, and grade, the disparity remained widest in the most affluent neighborhoods in NYC (aHR = 1.59; 95%CI 1.26–1.2.01). Neighborhood socioeconomic vulnerability is associated with poor outcomes for patients with uterine cancer. The greatest Black/White survival disparities are in the wealthiest neighborhoods. Neighborhood affluence may not affect survival of Black patients with advanced stage endometrial cancer. • Neighborhood socioeconomic vulnerability is associated with poor outcomes for patients with uterine cancer. • Racial disparity in endometrial cancer survival was the widest in the wealthiest New York City neighborhoods. • Neighborhood affluence may not affect survival of Black patients with advanced stage endometrial cancer [ABSTRACT FROM AUTHOR]

Objectives: This study assesses the relationship between patient age, gender, race, socioeconomic status, social determinants of health (SDoH), and access to biologics (products isolated from natural sources that target specific molecules, proteins, and cells) in patients with moderate-to-severe asthma in Bronx, NY. Methods: Cohort of 289 patients with moderate-to-severe asthma treated at Montefiore Medical Center (MMC) from 2018 to 2020 was used. Patient demographics, self-reported social needs, and neighborhood socioeconomic characteristics were analyzed. Neighborhood socioeconomic status was estimated by determining median income in patients' residential zip codes using 2020 Census data and grouping patients based on whether neighborhood median income was above or below New York State (NYS) median ($71,117/year). Area Deprivation Index tool (ADI) was used as an additional measure of neighborhood socioeconomic status. Results: Patients living in regions with incomes below NYS median found to have longer wait times between biologic approval to administration than patients living in regions above median income (p = 0.012). Mean time from insurance approval to biologic administration was significantly different between Black and Latinx patients (p = 0.009). No significant difference found for patient regional income status and time from biologic prescription to approval. No significant differences in access to biologics were found for age, gender, number of health-related social needs, or patient ADI quartile. Conclusions: Patients who live in areas of NYC where median income is below NYS median are more likely to experience delays in access to biologics, specifically due to time between approval and administration of medication. [ABSTRACT FROM AUTHOR]

Background: Social determinants of health are prognostic indicators for patients undergoing orthopedic procedures. Purpose: Using the area deprivation index (ADI), a validated, weighted index of material deprivation and poverty (a 0%-to-100% scale, with higher percentages indicating greater disadvantage), we sought to evaluate whether there are associations in shoulder arthroplasty patients between higher ADI and rates of (1) medical complications, (2) emergency department (ED) utilizations, (3) readmissions, and (4) costs. Methods: We queried the PearlDiver nationwide database for patients who had undergone primary shoulder arthroplasty from 2010 to 2020. Patients from regions associated with high ADI (95%+) were 1:1 propensity matched to a comparison group by age, sex, and Elixhauser Comorbidity Index. This yielded 49,440 patients in total. Outcomes included 90-day complications, ED utilizations, readmissions, and costs. Logistic regression models computed odds ratios (ORs) of ADI on the dependent variables. P values of <.05 were significant. Results: Patients from high ADI regions showed higher rates and odds of complications than those in the comparison group (10.84% vs 9.45%; OR: 1.10), including acute kidney injuries (1.73% vs 1.38%; OR: 1.23), urinary tract infections (3.19% vs 2.80%; OR: 1.13), and respiratory failures (0.49% vs 0.33%; OR: 1.44), but not increased ED visits (2.66% vs 2.71%; OR: 0.99) or readmissions (3.07% vs 2.96%; OR: 1.03). Patients from high ADI regions incurred higher costs on day of surgery ($8251 vs $7337) and at 90 days ($10,999 vs $9752). Conclusions: This 10-year retrospective database study found that patients from high ADI regions undergoing primary shoulder arthroplasty had increased rates of all 90-day medical complications, suggesting that measures of social determinants of health could inform health care policy and improve post-discharge care in these patients. [ABSTRACT FROM AUTHOR]

Abstract Background COVID-19 disproportionately impacted marginalized populations early in the pandemic. Families of patients admitted to the intensive care unit (ICU) experienced significant psychological effects. Little is known about whether individual and patient psychological outcomes after a loved ones stay in the ICU differs by socioeconomic status, as measured by the area deprivation index (ADI). Methods Family members of patients with COVID-19 respiratory failure admitted to the ICU at twelve hospitals in five US states were enrolled in a larger study looking at rates of symptoms of post-traumatic stress disorder (PTSD), anxiety, and depression in the months following their loved one's ICU stay. This secondary data analysis includes eight of the twelve hospitals in four of the five states. Each participant was assigned a number indicating a level of neighborhood disadvantage based on the patient’s zip code. Patient and family level characteristics as well as symptoms of anxiety, depression, and PTSD were assessed among each neighborhood. Results Patients from the most disadvantaged neighborhoods had the highest proportion of patients that needed to be intubated (p = 0.005). All the patients in the most disadvantaged neighborhoods were a race other than white (p = 0.17). At 12 months post-hospitalization, there was a statistically significant difference in the proportion of family members who experienced symptoms of PTSD, anxiety, and depression between the ADI groups. Conclusions ADI may be a predictor of COVID-19 disease severity for patients on presentation to the ICU. Patients and family members experience psychological effects after a loved one’s admission to the ICU, and these outcomes vary among individuals of different socioeconomic status’, as measured by the ADI. A larger study of family members’ incidence of anxiety, depression, and post-traumatic stress disorder is needed to understand the extent to which these symptoms are impacted by neighborhood level factors as measured by the ADI.

Background: Despite the growing volume of neighborhood-level health disparity research, there remains a paucity of prospective studies investigating the relationship between Area Deprivation Index (ADI) and functional outcomes for patients undergoing hip arthroscopy. Purpose: To investigate the relationship between neighborhood-level socioeconomic status and functional outcomes after hip arthroscopy. Study Design: Cohort study; Level of evidence, 3. Methods: A retrospective analysis of prospectively collected data was performed on patients aged ≥18 years with minimum 1-year follow-up who underwent hip arthroscopy for the treatment of symptomatic labral tears. The study population was divided into ADILow and ADIHigh cohorts according to ADI score: a validated measurement of neighborhood-level socioeconomic status standardized to yield a score between 1 and 100. Patient-reported outcome measures (PROMs) included the modified Harris Hip Score, Nonarthritic Hip Score, Hip Outcome Score–Activities of Daily Living, Hip Outcome Score–Sports-Specific Subscale, 33-item International Hip Outcome Tool, visual analog scale for pain, and patient satisfaction. Results: A total of 228 patients met inclusion criteria and were included in the final analysis. After patients were stratified by ADI score (mean ± SD), the ADILow cohort (n = 113; 5.8 ± 3.0; range, 1-12) and ADIHigh cohort (n = 115; 28.0 ± 14.5; range, 13-97) had no differences in baseline patient demographics. The ADIHigh cohort had significantly worse preoperative baseline scores for all 5 PROMs; however, these differences were not present by 1-year follow-up. Furthermore, the 2 cohorts achieved similar rates of the minimal clinically important difference for all 5 PROMs and the Patient Acceptable Symptom State for 4 PROMs. When controlling for patient demographics, patients with higher ADI scores had greater odds of achieving the minimal clinically important difference for all PROMs except the 33-item International Hip Outcome Tool. Conclusion: Although hip arthroscopy patients experiencing a greater neighborhood-level socioeconomic disadvantage exhibited significantly lower preoperative baseline PROM scores, this disparity resolved at 1-year follow-up. In fact, when adjusting for patient characteristics including ADI score, more disadvantaged patients achieved greater odds of achieving the minimal clinically important difference. The present study is merely a first step toward understanding health inequities among patients seeking orthopaedic care. Further development of clinical guidelines and health policy research is necessary to advance care for patients from disadvantaged communities. [ABSTRACT FROM AUTHOR]

The influence of social determinants of health on health disparities is substantial. However, their impact on postsurgical outcomes in spine can be challenging to ascertain at the community level. This study aims to explore the interplay between presurgical attitudes, area deprivation index (ADI), income, employment status, and body mass index (BMI) on postsurgical outcomes at 3, 6, 9, and 12 months after elective spine surgery. The study involved 127 patients who underwent elective spine surgery between August 2021 and August 2022 at a large academic institution. The main objective involved a prospective analysis of presurgical attitudes, coupled with a retrospective assessment of ADI, income, employment status, and BMI over 3, 6, 9, and 12 months following elective spine surgery using a univariate analysis. Utilizing the univariate analyses, ADI displayed a significant correlation with increased Patient-Reported Outcomes Measurement Information System and Visual Analog Scale scores both before surgery and at the 3-, 6-, and 9-month postsurgical intervals (P < 0.05). One year after surgery, patients in the lowest income group (annual income under $25,000) consistently demonstrated the highest Patient-Reported Outcomes Measurement Information System pain (8.00, P = 0.022). Patients who were not employed had significantly lower levels of social support (P = 0.042) and confidence in the health care system (P = 0.009). Individuals who were unemployed were most likely to be readmitted six weeks after surgery (P < 0.001). Presurgical attitudes, ADI, income, employment status, and BMI were important factors associated with improved surgical outcome measurements, indicating potential focal points for combating health disparities in spinal surgery patients. [ABSTRACT FROM AUTHOR]

PurposeMethodsResultsConclusionThe Area Deprivation Index (ADI) is a quantitative measurement of neighborhood socioeconomic disadvantage used to identify high-risk communities. The distribution of physicians with respect to ADI can indicate decreased healthcare access in deprived neighborhoods. This study applies ADI to the distribution of ophthalmologists and demonstrates how practice patterns in the national Medicare Part D program may vary with ADI.The Centers for Medicare and Medicaid Services Data “Medicare Part D Prescribers by Provider” data for 2021 was analyzed. Geocodio identified ADIs corresponding to the practice addresses listed in the dataset. The national rank ADIs were compared against the number of ophthalmologists. Spearman’s correlation test and one-way ANOVA determined statistically significant differences in Medicare data extracted between quintiles of ADI ranks.We identified 14,668 ophthalmologists who provided care to Medicare beneficiaries. Each time ADI increased by 10, there was an average 9.4% decrease in ophthalmologists (p < 0.001). The distribution of ophthalmologists practicing throughout the United States by increasing ADI quintile are: 32%, 23%, 19%, 16%, and 9%. Providers practicing in neighborhoods in the first-ADI quintile were more likely to see Medicare beneficiaries compared to providers in the fifth-ADI quintile (p < 0.001).The lack of ophthalmologists in high-ADI areas results in reduced eye care access in deprived neighborhoods. Many factors contribute to these disparities including limited access to metropolitan areas/academic institutions and fewer residency programs. Future programs and policies should focus efforts on creating an even distribution of ophthalmologists across the United States and improving access to eye care. [ABSTRACT FROM AUTHOR]

Background: COVID-19 disproportionately impacted marginalized populations early in the pandemic. Families of patients admitted to the intensive care unit (ICU) experienced significant psychological effects. Little is known about whether individual and patient psychological outcomes after a loved ones stay in the ICU differs by socioeconomic status, as measured by the area deprivation index (ADI). Methods: Family members of patients with COVID-19 respiratory failure admitted to the ICU at twelve hospitals in five US states were enrolled in a larger study looking at rates of symptoms of post-traumatic stress disorder (PTSD), anxiety, and depression in the months following their loved one's ICU stay. This secondary data analysis includes eight of the twelve hospitals in four of the five states. Each participant was assigned a number indicating a level of neighborhood disadvantage based on the patient's zip code. Patient and family level characteristics as well as symptoms of anxiety, depression, and PTSD were assessed among each neighborhood. Results: Patients from the most disadvantaged neighborhoods had the highest proportion of patients that needed to be intubated (p = 0.005). All the patients in the most disadvantaged neighborhoods were a race other than white (p = 0.17). At 12 months post-hospitalization, there was a statistically significant difference in the proportion of family members who experienced symptoms of PTSD, anxiety, and depression between the ADI groups. Conclusions: ADI may be a predictor of COVID-19 disease severity for patients on presentation to the ICU. Patients and family members experience psychological effects after a loved one's admission to the ICU, and these outcomes vary among individuals of different socioeconomic status', as measured by the ADI. A larger study of family members' incidence of anxiety, depression, and post-traumatic stress disorder is needed to understand the extent to which these symptoms are impacted by neighborhood level factors as measured by the ADI. [ABSTRACT FROM AUTHOR]

Background: Little is known about the relationship between neighborhood disadvantage and neuromyelitis optica spectrum disorder (NMOSD) outcomes. Objective: The objective is to determine the impact of neighborhood disadvantage on time from symptom onset to diagnosis and annualized relapse rate (ARR). Methods: Neighborhood disadvantage were captured with the Area Deprivation Index (ADI), a validated measure of neighborhood-level disadvantage. Negative binomial regression models assessed the impact of ADI on diagnostic delay (⩾3 months between symptom onset and diagnosis) and ARR. Results: A total of 158 NMOSD patients were identified, a majority of whom were White (56.3%) and female (89.9%) with a mean age of 46 years at diagnosis. The ADI did not significantly affect odds of diagnostic delay (odds ratio (OR) = 0.99, p = 0.26). In univariable models, the ADI was not significantly associated with ARR (OR = 1.004, p = 0.29), but non-White race (OR = 1.541, p = 0.02) and time on immunosuppressive therapies (ISTs; OR = 0.994, p = 0.03) were. White patients used IST for an average of 81% of the follow-up period, compared to an average of 65% for non-White patients (p < 0.01). Conclusion: No significant relationship between neighborhood-level disadvantage and diagnostic delay or ARR in NMOSD patients was observed. Non-White patients had a higher ARR, which may be related to less IST use. [ABSTRACT FROM AUTHOR]

Socioeconomic status has been demonstrated to be an important prognostic risk factor among patients undergoing total joint arthroplasty. We evaluated patients living near neighborhoods with higher socioeconomic risk undergoing total knee arthroplasty (TKA) and if they were associated with differences in the following: (1) medical complications; (2) emergency department (ED) utilizations; (3) readmissions; and (4) costs of care. A query of a national database from 2010 to 2020 was performed for primary TKAs. The Area Deprivation Index (ADI) is a weighted index comprised of 17 census-based markers of material deprivation and poverty. Higher numbers indicate a greater disadvantage. Patients undergoing TKA in zip codes associated with high ADI (90%+) were 1:1 propensity-matched to a comparison group by age, sex, and Elixhauser Comorbidity Index. This yielded 225,038 total patients, evenly matched between cohorts. Outcomes studied included complications, ED utilizations, readmission rates, and 90-day costs. Logistic regression models computed the odds ratios (OR) of ADI on the dependent variables. P values less than.003 were significant. High ADI led to higher rates and odds of any medical complications (11.7 versus 11.0%; OR: 1.05, P =.0006), respiratory failures (0.4 versus 0.3%; OR: 1.28, P =.001), and acute kidney injuries (1.7 versus 1.5%; OR: 1.15, P <.0001). Despite lower readmission rates (2.9 versus 3.5%), high ADI patients had greater 90-day ED visits (4.2 versus 4.0%; OR: 1.07, P =.0008). The 90-day expenditures ($15,066 versus $12,459; P <.0001) were higher in patients who have a high ADI. Socioeconomically disadvantaged patients have increased complications and ED utilizations. Neighborhood disadvantage may inform health care policy and improve postdischarge care. The socioeconomic status metrics, including ADI (which captures community effects), should be used to adequately risk-adjust or risk-stratify patients so that access to care for deprived regions and patients is not lost. III. [ABSTRACT FROM AUTHOR]

Social determinants of health (SDOH) refer to social and economic factors that influence a patient's health status. The purpose of this study was to investigate the impact of SDOH on preoperative and postoperative Patient-Reported Outcomes Measurement Information System (PROMIS) scores and postoperative resource utilization following primary shoulder arthroplasty (SA). This retrospective chart review evaluated data from all patients who underwent primary SA (including anatomic, reverse, and hemiarthroplasty) at a single health system between May 2020 and May 2022. Patients without at least 6-month postoperative PROMIS questionnaires and those undergoing revision surgeries were excluded. The electronic medical record was used to identify SDOH for each patient, and PROMIS scores for Upper Extremity (PROMIS-UE), Pain Interference (PROMIS-PI), and Depression (PROMIS-D) were completed electronically at respective preoperative and postoperative visits. Univariate analysis using independent 2-group t -tests and Chi-squared tests were used to analyze the mean difference between patient groups based on SDOH. Multivariate linear regressions were performed with all predictors used in the univariate model using the least squares method. The study included 248 patients who underwent SA, with a mean age of 67.9 years. Caucasian patients were over-represented in the highest quartile of median household income (MHI) compared to Black patients (35.1% vs. 17.2%) who were over-represented in the lowest MHI quartile (37.9% vs. 8.3%). At 6-month postoperative, black patients had significantly lower UE (33.8 ± 6.2 vs. 38.1 ± 9.0; P =.03) and greater PI scores (59.1 ± 6.1 vs. 55.6 ± 8.6; P =.145) compared to Caucasian patients. Similarly, at 6-month follow-up, the lowest MHI quartile had lower UE (33.8 ± 7.7 vs. 39.6 ± 8.8; P =.01) and higher PI scores (58.7 ± 6.5 vs. 54.3 ± 8.2; P <.01) compared to the highest MHI quartile, and females demonstrated lower UE (36.3 ± 7.9 vs. 38.6 ± 9.8; P =.04) and higher D scores (46.2 ± 9.1 vs. 42.0 ± 8.6; P =.046) compared to males. Government/public insurance demonstrated lower UE (36.8 ± 8.0 vs. 39.8 ± 10.4; P =.03) and higher D scores (45.9 ± 9.2 vs. 40.6 ± 7.6; P =.03) compared to private insurance. At 12-month follow-up, females demonstrated lower UE scores compared to males (36.0 ± 10.2 vs. 40.1 ± 11.3; P =.03). Black patients harbored lower UE, PI, and D scores compared to Caucasian patients, although not statistically significant. Several socioeconomic factors such as race, gender, and insurance status are associated with differential outcomes after SA. Patients who are Black, female, current smokers, and from the lowest income quartile are associated with inferior PROMIS function, pain, and depression outcomes following SA. [ABSTRACT FROM AUTHOR]

National estimates suggest pediatric trauma recidivism is uncommon but are limited by short follow up and narrow ascertainment. We aimed to quantify the long-term frequency of trauma recidivism in a statewide pediatric population and identify risk factors for re-injury. The Maryland Health Services Cost Review Commission Dataset was queried for 0–19-year-old patients with emergency department or inpatient encounters for traumatic injuries between 2013 and 2019. We measured trauma recidivism by identifying patients with any subsequent presentation for a new traumatic injury. Univariate and multivariable regressions were used to estimate associations of patient and injury characteristics with any recidivism and inpatient recidivism. Of 574,472 patients with at least one injury encounter, 29.6% experienced trauma recidivism. Age ≤2 years, public insurance, and self-inflicted injuries were associated with recidivism regardless of index treatment setting. Of those with index emergency department presentations 0.06% represented with an injury requiring inpatient admission; unique risk factors for ED-to-inpatient recidivism were age >10 years (aOR 1.61), cyclist (aOR 1.31) or burn (aOR 1.39) mechanisms, child abuse (aOR 1.27), and assault (aOR 1.43). Among patients with at least one inpatient encounter, 6.3% experienced another inpatient trauma admission, 3.4% of which were fatal. Unique risk factors for inpatient-to-inpatient recidivism were firearm (aOR 2.48) and motor vehicle/transportation (aOR 1.62) mechanisms of injury (all p < 0.05). Pediatric trauma recidivism is more common and morbid than previously estimated, and risk factors for repeat injury differ by treatment setting. Demographic and injury characteristics may help develop and target setting-specific interventions. III (Retrospective Comparative Study) • Studies on pediatric trauma recidivism have been limited by short follow up and limited ascertainment. • This study provides a more complete estimate of, and associated risk factors for, pediatric trauma recidivism by capturing all statewide pediatric encounters and following patients longitudinally for up to 7 years. [ABSTRACT FROM AUTHOR]

Objective: To identify geographic, sociodemographic, and clinical factors associated with parental self‐efficacy in a diverse cohort of deaf or hard‐of‐hearing (DHH) children. Study Design: Cross‐sectional study. Setting: Tertiary children's hospital. Methods: Four hundred forty parents of DHH children aged 0 to 17 completed the 25‐item Scale of Parental Involvement and Self‐Efficacy (SPISE) survey from 2014 to 2022. Residential addresses were geocoded and assigned Area Deprivation Index and Social Vulnerability Index rankings, and univariable and multivariable analyses were conducted using sociodemographic and clinical variables, including sex, race/ethnicity, insurance type, survey language, age at the survey, comorbidities, newborn hearing screening results, and hearing loss laterality and severity. Results: Compared to English and Spanish‐speaking parents, Chinese‐speaking parents were associated with overall lower parental self‐efficacy and involvement (regression coefficient = −0.518, [−0.929, −0.106]), Cohen's d = 0.606) and lower scores on items related to their ability to affect multiple aspects of their child's development and expression of thoughts as well as competency in checking and putting on their child's sensory device. Across univariable and multivariable analyses, besides Chinese language, all other sociodemographic, clinical, and geographic variables were not associated with SPISE score. Conclusion: To achieve the best patient outcomes, care teams can use the SPISE to evaluate parental self‐efficacy and provide targeted support to parents at risk for having lower knowledge and confidence scores about critical skills necessary to facilitate their child's auditory access and language development. Notably, this study found similar reports of parental efficacy across various sociodemographic, clinical, and geographic variables but significantly lower SPISE scores in Chinese‐speaking families. [ABSTRACT FROM AUTHOR]

Purpose of Review: Youth sports are increasingly shifting towards a "pay to play" model which has introduced financial barriers to participation. The Amateur Athletic Union (AAU) is the main organization for club basketball, serving as a platform where young athletes can compete beyond the recreational level. Outside the realm of athletes who have access to state-of-the-art facilities and top-tier coaching, the pathway to playing basketball at the next level may be predominantly available to those who can afford the considerable costs of AAU participation. The objective of this study is to determine the accessibility of AAU teams of active National Basketball Association (NBA) players through use of the Area Deprivation Index (ADI). Recent Findings: We identified 114 AAU teams with physical addresses for 250 (50%) currently active domestic NBA players. The State ADI of the high schools as well as national and state ADIs of prior AAU teams of active NBA players were significantly skewed toward lower ADI rankings (higher socioeconomic status) (p < 0.05). The mean distance between high school location and AAU location was 170 miles. Summary: Prior AAU teams of currently active NBA players are more frequently located in areas of higher socioeconomic status with nearly 50% being within the top 3rd lower state decile as measured by the area deprivation index. Similarly, we found the high schools these players attended, as a proxy for areas they grew up in, were also more frequently located in areas of higher socioeconomic status. [ABSTRACT FROM AUTHOR]

Traumatic brain injury (TBI) poses a significant health burden, particularly among pediatric populations, leading to long-term cognitive, physical, and psychosocial impairments. Timely transfer to specialized trauma centers is crucial for optimal management, yet the influence of socioeconomic factors, such as the Area Deprivation Index (ADI), on transfer patterns remains understudied. A retrospective study was conducted on pediatric TBI patients presenting to a Level I Pediatric Trauma Center between January 2012 and July 2023. Transfer status, distance, mode of transport, and clinical outcomes were analyzed in relation to ADI. Statistical analyses were performed using Student t -test and analysis of variance. Of 359 patients, 53.5% were transferred from outside hospitals, with higher ADI scores observed in transfer patients (P < 0.01). Air transport was associated with greater distances traveled and higher ADI compared to ground ambulance (P < 0.01). Despite similarities in injury severity, intensive care unit admission rates differed between transfer modes, with no significant impact on mortality. High ADI patients were more likely to be transferred, suggesting disparities in access to specialized care. Differences in transfer modes highlight the influence of socioeconomic factors on logistical aspects. While transfer did not independently impact outcomes, disparities in intensive care unit admission rates were observed, possibly influenced by injury severity. Integrating socioeconomic data into clinical decision-making processes can inform targeted interventions to optimize care delivery and improve outcomes for all pediatric TBI patients. Prospective, multicenter studies are warranted to further elucidate these relationships. [ABSTRACT FROM AUTHOR]

Background Neighborhood socioeconomic deprivation has been linked to adverse health outcomes, yet it is unclear whether neighborhood-level social determinants of health (SDOH) measures affect overall survival in adolescent and young adult patients with cancer. Methods This study used a diverse cohort of adolescent and young adult patients with cancer (N = 10 261) seen at MD Anderson Cancer Center. Zip codes were linked to Area Deprivation Index (ADI) values, a validated neighborhood-level SDOH measure, with higher ADI values representing worse SDOH. Results ADI was statistically significantly worse (P  < .050) for Black (61.7) and Hispanic (65.3) patients than for White patients (51.2). Analysis of ADI by cancer type showed statistically significant differences, mainly driven by worse ADI in patients with cervical cancer (62.3) than with other cancers. In multivariable models including sex, age at diagnosis, cancer diagnosis, and race and ethnicity, risk of shorter survival for people residing in neighborhoods with the least favorable ADI quartile was greater than for individuals in the most favorable ADI quartile (hazard ratio = 1.09, 95% confidence interval = 1.00 to 1.19, P  = .043). Conclusion Adolescent and young adult patients with cancer and the worst ADI values experienced a nearly 10% increase in risk of dying than patients with more favorable ADI values. This effect was strongest among White adolescent and young adult survivors. Although the magnitude of the effect of ADI on survival was moderate, the presence of a relationship between neighborhood-level SDOH and survival among patients who received care at a tertiary cancer center suggests that ADI is a meaningful predictor of survival. These findings provide intriguing evidence for potential interventions aimed at supporting adolescent and young adult patients with cancer from disadvantaged neighborhoods. [ABSTRACT FROM AUTHOR]

Innovative strategies to increase clinical trial accessibility and equity are needed. We conducted a retrospective review of a phase II investigator-initiated trial to determine whether the modification of clinical trial design to decentralize study treatment can improve trial accessibility among underrepresented groups. Sociodemographic characteristics, including area deprivation indices, as well as study site travel distance, time, and costs were compared between enrolled participants who received chemotherapy locally and participants who did not. Participants who received chemotherapy locally lived substantially farther from the study site (median = 95.90 vs 25.20 miles, P  = .004), faced a greater time burden traveling to the study site (median = 115.00 vs 34.00 minutes, P  = .002), and had higher travel-related costs for a single trip to the study site (median = $62.81 vs $16.51, P  = .004). This study highlights opportunities for alleviating financial and time burdens associated with clinical trial participation, promoting equity in clinical research. Trial Registration: ClinicalTrials.gov identifier: NCT04380337. [ABSTRACT FROM AUTHOR]

Background Racially and ethnically minoritized groups, people with lower income, and rural communities have worse access to percutaneous coronary intervention (PCI) than their counterparts, but PCI hospitals have preferentially opened in wealthier areas. Our study analyzed disparities in PCI access, treatment, and outcomes for patients with acute myocardial infarction based on the census-derived Area Deprivation Index. Methods and Results We obtained patient-level data on 629 419 patients with acute myocardial infarction in California between January 1, 2006 and December 31, 2020. We linked patient data with population characteristics and geographic coordinates, and categorized communities into 5 groups based on the share of the population in low or high Area Deprivation Index neighborhoods to identify differences in PCI access, treatment, and outcomes based on community status. Risk-adjusted models showed that patients in the most advantaged communities had 20% and 15% greater likelihoods of receiving same-day PCI and PCI during the hospitalization, respectively, compared with patients in the most disadvantaged communities. Patients in the most advantaged communities also had 19% and 16% lower 30-day and 1-year mortality rates, respectively, compared with the most disadvantaged, and a 15% lower 30-day readmission rate. No statistically significant differences in admission to a PCI hospital were observed between communities. Conclusions Patients in disadvantaged communities had lower chances of receiving timely PCI and a greater risk of mortality and readmission compared with those in more advantaged communities. These findings suggest a need for targeted interventions to influence where cardiac services exist and who has access to them.

Pathogenic mutations in phosphatase and tensin homolog (PTEN), a tumor suppressor gene, leads to the development of PTEN Hamartoma Tumor Syndrome (PHTS). Patients carry significantly increased risks for cancer and neurodevelopmental disorders such as autism spectrum disorder (ASD). The factors which modify PTEN function and drive PHTS phenotype remain unknown. Social determinants of health are increasingly being identified as important regulators of disease pathogenesis. Here, we conduct a retrospective cross-sectional study to evaluate the association between social deprivation, as measured by area deprivation index (ADI), and neurodevelopmental versus cancer phenotypes in patients with PHTS. Our findings suggest ADI alone is not associated with PHTS phenotype, and that its divergence is likely multifactorial in nature. More broadly, our study highlights the importance of integrating environmental pressures with genetic risk modification in the study of complex human disease.