Area Deprivation Index Research Articles

Nutrition Literacy, Neighborhood, and Diet

ABSTRACTObjectiveThis 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.DesignThis study used a descriptive, correlational design to examine the relationships between nutrition literacy, neighborhood ranking, and diet quality.SampleA total of 130 Mexican origin participants living in the United States completed all components of this study.MeasurementsParticipants completed demographics, the Nutrition Literacy Assessment Instrument (NLit), Area Deprivation Index (ADI), and Diet History Questionnaire III (DHQ3).ResultsCompared 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.ConclusionThe 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 4135352: Neighborhood-level Determinants and Disparities in Incident Type 2 Diabetes in a Population-Based Cohort, 2015–2020

Introduction: Living in an area with high Area Deprivation Index (ADI) is linked to worse cardiovascular disease (CVD) outcomes. However, the association of ADI with type 2 diabetes (T2D), a major CVD risk factor, is incompletely described. This knowledge may guide primary CVD prevention. Method: Rochester Epidemiology Project is a medical record linkage system of persons in southeast Minnesota and southwest Wisconsin. We identified 253,890 persons (aged 4–98 yrs on July 1, 2015) in 9 counties with >90% population coverage. ADI scores, from 2015 home addresses, were grouped into quartiles of low (Q1) to high (Q4) deprivation. We excluded persons with type 1 diabetes (T1D) or history of T2D and identified new T2D cases (2015-2020) using ICD codes, HbA1c and medications. We examined the association between ADI quartile and risk of incident T2D using Cox regression with persons right censored at death, T2D, T1D or last visit. Models were adjusted for age and gender, and reported adjusted hazard ratios (aHR [95% confidence interval]). Results: Age, gender, and race statistically differed across ADI quartiles (Table). Age × ADI interaction was significant ( P <.001). T2D incidence ranged from 6.3 (Q1) to 9.0 (Q4) per 1000 person-years ( P <.001). Women vs. men/non-binary persons (combined due to limited non-binary persons) had 30% lower risk of incident T2D (aHR 0.70 [0.67–0.72]). Risk of incident T2D was higher in persons from higher ADI areas. At median age of 48.6 yrs, the risk was 30% higher in Q2 (aHR 1.3 [1.22–1.38]), 38% higher in Q3 (aHR 1.38 [1.30–1.47]) and 53% higher in Q4 (aHR 1.53 [1.43–1.62]) vs. Q1. Higher ADI was associated with higher incident T2D in younger persons, with risk attenuation with increasing age (Figure). Conclusion: In this population cohort, persons, particularly of younger age, living in more deprived areas had a higher risk of incident T2D. ADI may help identify areas for targeted T2D screening, with implications for CVD screening and prevention.

Abstract 4124457: Socioeconomic Deprivation is Associated with Readmission Within One Year After Atrial Fibrillation Ablation

Introduction: Gender and race have been shown to impact access and outcomes regarding rhythm control management such as atrial fibrillation (AF) ablation. We aimed to evaluate the role of the Area Deprivation Index (ADI), a validated metric that represents the social disadvantage of communities, to determine if socioeconomic disadvantage (SED) increases the risk of readmission within one year after AF ablation. Methods: Patients ages ≥18 were identified in the Healthcare Cost and Utilization Project State Ambulatory Surgery and Services Databases in New York and Florida from 2016-2019 with follow-up into 2020 into the inpatient setting. These states were chosen due to availability for linkage of the 2020 ADI. International Classification of Diseases 10 and Current Procedural Terminology codes for AF and AF ablation were used. The risk of readmission was assessed using multivariable Cox proportional hazards with covariates age, sex, race, insurance, Charlson Comorbidity Index (0 vs ≥ 1 comorbidity), and ADI quartiles. ADI is scored 1-100 with higher scores representing more disadvantage. Results: 14,078 patients met inclusion criteria. The readmission rate at one, three, and twelve months was 6.1%, 9.9%, and 20.9% respectively. The most common readmission diagnoses at twelve months were AF (22.8%), followed by symptoms such as chest pain, dyspnea, palpitations, and syncope (13%). In the adjusted model, older age, female sex, federal insurance, ≥ 1 Charlson comorbidity, and higher ADI had higher one-, three-, and twelve-month risks of readmission. Hispanic ethnicity had a higher risk of one month readmission. Conclusion: Readmission for AF after ablation is common at twelve months. Higher risk of readmission after AF ablation was observed with SED. Enhanced awareness and additional research regarding SED as a risk factor for readmission may help improve post-ablation AF outcomes and equitable access to cardiovascular care.

Abstract 4138507: Uncovering Risk Factors for Myocarditis and Cardiac Arrhythmia in Youth Post-SARS-CoV-2 Infection: Insights from the N3C Database and Advanced Machine Learning

Background: SARS-CoV2 infection has been associated with cardiovascular consequences, including myocarditis and cardiac arrhythmias. Myocarditis secondary to SARS-CoV2 infection and cardiac arrhythmias may often go unrecognized and can present with late and nonspecific symptoms. Predicting those at risk allows for prompt treatment and prevention of their potentially life-threatening consequences. Methods: The National COVID Cohort Collaborative (N3C) database was used to identify patients aged 0-30 years with COVID-19 index date between 1/1/2020 and 3/31/2022, whose sites provided data for at least six months beyond the index date. Outcomes included myocarditis and new arrythmias within 6 months of the index visit. Patients with known cardiac comorbidities were excluded. Predictors included gender, race, COVID severity as an ordinal scale, vaccination status, clinical comorbidities, and Area Deprivation Index (ADI). The data were stratified by age groups (0-4, 5-17, 18-30). Random forest models were used for data analysis and SHapley Additive exPlanations (SHAP) method was applied to optimize results. These analyses were conducted using the NCATS N3C Data Enclave. Results: Of the 1,487,741 patients in our study population, 4,105 (0.28%) had the measured outcomes; 404 had myocarditis only, 3,634 had arrhythmia only and 67 had both. Severity of COVID (SHAP 0.2344 for 0-4 years, 0.2114 for 5-17, 0.1370 for 18-30) was identified as the most important risk factor for de-novo myocarditis and arrhythmias overall. Increase in ADI (indicating lower socioeconomic status) was the second most important risk factor for the 0-4 and 5-17 age groups (SHAP: 0.0370, 0.0223). Among the 18-30 age group, race (SHAP 0.0321) and gender (SHAP 0.0289) were the second and third most important risk factors, with White and Black patients more likely to develop an event and Hispanic patients less likely. Women were less likely to develop a cardiac outcome than men. Conclusion: The severity of COVID was identified as the most important risk factor for the occurrence of myocarditis or cardiac arrhythmia within 6 months of infection. ADI, race, and gender were also identified as important, though less influential, risk factors.

Abstract 4132217: Comorbidities Associated with One Year Mortality and Hospital Readmission After Ventricular Tachycardia Ablation

Introduction: Many studies have evaluated outcomes after ventricular tachycardia (VT) ablation though few studies have evaluated outcomes past thirty days. This study aimed to determine which comorbidities are associated with one-year readmissions and mortality after VT ablation, including socioeconomic disadvantage (SED) via the Area Deprivation Index (ADI). Methods: Patients ages ≥18 were identified in the Healthcare Cost and Utilization Project State Inpatient Databases in New York and Florida from 2016-2019 with follow-up into 2020. These states were chosen due to availability for linkage of the 2020 ADI (1-100, higher scores representing more disadvantage). International Classification of Diseases 10 codes for VT and VT ablation were used. Patients undergoing pacemaker placement or with other arrhythmias were excluded. The risk of readmission and mortality was assessed using Cox proportional hazards first in an unadjusted fashion for each comorbidity in the Charlson Comorbidity Index. In addition to demographic variables, only significant variables from the unadjusted analysis were included in the final adjusted multivariable models. Results: 1,798 patients met inclusion criteria. The readmission and mortality rates at one, three, and twelve months were 18.5%, 27.4%, 41.4% and 3.5%, 4.1%, 6.5%, respectively. Common diagnoses for readmission were VT (24.8%) and dyspnea/chest pain (10.7%). After adjustment, African American race, federal insurance, heart failure (CHF), vascular disease, renal disease (CKD), severe liver disease (SLD), and higher ADI were associated with increased risk for twelve-month readmissions. Federal insurance, CHF, cerebrovascular disease, dementia, peptic ulcer disease, CKD, and SLD were associated with increased risk for twelve-month mortality. Conclusion: CHF and CKD increased the risk of readmission and mortality. Recurrent VT was the most common cause of readmission. Patients of SED are at increased risk of readmissions within one year.

Evaluation of New Mental Health Diagnoses After Pediatric Traumatic Injuries at a Level 1 Pediatric Trauma Center.

Traumatic injury is associated with significant mental health morbidity. To evaluate the need for implementation of active-post injury mental health screening at a Level 1 Pediatric Trauma center, we aimed to characterize all new mental health diagnoses after injury and evaluated for patient or injury factors that may aid in targeting of future screening. A single-center retrospective analysis of trauma patients aged 6-18years presenting in 2022 was performed. Our primary outcome was a new DSM-5 mental health diagnosis documented after traumatic injury. Patients with and without a new mental health diagnosis were compared by age, sex, race, ethnicity, injury type/mechanism, injury severity score (ISS), intensive care unit (ICU) admission, and length of stay (LOS). 492 patients were included. Their median (IQR) age was 13.5 (10.4, 15.4) years. The median (IQR) follow-up interval was 157 (9, 429) days. There were 24 (4.9%) children with a new mental health diagnosis: 12 (50%) with trauma-related stress disorders, with the remaining having diagnoses such as depressive or anxiety disorders. Patients with a new mental health diagnosis had longer LOS (3.0 [1.8, 7.5] vs 2.0 [1.0, 3.3] days, P = 0.02) and were more likely to have sustained penetrating injury (P = 0.01). There were no differences in demographics, rates of preexisting mental health diagnosis or area deprivation index (P > 0.05). There were fewer new mental health diagnoses in our cohort than expected, likely underestimating the acute need. Comprehensive post-injury screening is imperative to sufficiently identify and intervene upon mental health morbidity after pediatric trauma.

Abstract 4123530: Disparities in Hypertension Treatment Intensification among Adults in a Large United States Healthcare System

Background: There are racial/ethnic and socioeconomic status (SES) disparities in hypertension control, even in populations with regular care. It is unclear if clinical inertia by clinicians contributes to these disparities. Objectives: To quantify racial/ethnic and SES disparities in treatment intensification (TI) among adults with hypertension. Methods: We performed a retrospective cohort study using electronic health records from Johns Hopkins primary care practices from January 2018 to December 2022. We included non-Hispanic Black (Black) and non-Hispanic White (White) adults with at least 2 elevated blood pressure readings (>=140/90 mm Hg) in the 12 months prior to the index primary care visit and a diagnosis of essential hypertension. We excluded patients with diagnoses of end-stage renal disease, liver disease, dementia, and metastatic solid tumor. Patients could contribute multiple index visits. We measured SES using the national Area Deprivation Index, which comprises 17 neighborhood-level SES indicators, and dichotomized the population into high and low median SES groups. We defined TI as a change in antihypertensive class or dose increase within 14 days of the index visit. We balanced covariates reflecting clinical need at the index visit (age, sex, blood pressure readings, cardiometabolic comorbidities, body mass index) and the index visit’s calendar time across racial/ethnic and SES groups using inverse probability weighting. We estimated annual race/ethnic and SES specific TI rates and risk difference measures of disparity with 95% confidence intervals (CI) using a clustered bootstrap. Results: The cohort included 25,287 patients (11,800 Black, 13,487 White) with 79,898 eligible visits. Black patients were more often younger, female, and residing in low SES areas compared to White patients. In 2018, TI rates for Black patients (37%, 95% CI: 36-38%) were slightly lower than rates for White patients (39%, 95% CI: 38-40%). In 2022, the disparity persisted, with the Black patients’ TI rate lower by 3% (95% CI: -5%, -1%). Similarly, low SES patients had lower TI rates than high SES patients by 2% to 3% over the study period. Conclusion: Black patients and those from low SES consistently had modestly lower rates of TI compared to White patients and those from high SES. It will be important to identify the drivers and clinical implications of these treatment disparities.

Race, Neighborhood Disadvantage, and Prehospital Law Enforcement Handcuffing in Children With Behavioral Health Emergencies.

Minoritized youth and children in resource-limited neighborhoods rely on emergency medical services (EMS) for accessing care, including during behavioral health emergencies (BHEs). Law enforcement (LE) officers sometimes use forceful tactics in such settings. Assessing LE actions is needed to ensure safe and equitable care for vulnerable populations. To examine whether race and ethnicity, neighborhood disadvantage, sex, and age are associated with LE handcuffing during pediatric BHEs. This cross-sectional study analyzed LE handcuffing, demographic factors, and neighborhood disadvantage in Alameda County, California. The study population included children younger than 18 years who were evaluated by EMS for BHEs between January 1, 2012, and June 30, 2019. Data analysis was completed between January 1, 2022, and August 30, 2023. Primary exposures included race and ethnicity and Area Deprivation Index (ADI) rank as ADI I (1-3 [lowest]), ADI II (4-6 [moderate]), and ADI III (7-10 [highest]). The primary outcome was LE handcuffing during BHEs. The study calculated handcuffing proportions stratified by race and ethnicity, ADI, and sex. The final dataset consisted of 6759 pediatric BHE encounters with complete data. Among these, 3864 encounters (57.2%) were with females. The median age was 14.9 (IQR, 13.4-16.2) years. Overall, LE handcuffing occurred in 517 encounters (7.6%); Black children had higher odds than their White peers (adjusted odds ratio [AOR], 1.80; 95% CI, 1.39-2.33). Compared with low neighborhood disadvantage, moderate neighborhood disadvantage was independently associated with increased odds of handcuffing (ADI II: AOR, 1.51; 95% CI, 1.21-1.88), as was highest neighborhood disadvantage (ADI III: AOR, 1.54; 95% CI, 1.19-1.99). Male sex (AOR, 2.31; 95% CI, 1.91-2.79) and age (AOR per 1-year increase, 1.15; 95% CI, 1.10-1.21) were also associated with increased odds of handcuffing. In moderately disadvantaged neighborhoods, the odds were higher for Black children (AOR, 2.52; 95% CI, 1.65-3.86). When stratified by sex, the odds of handcuffing were significantly higher for Black females compared with White females (AOR, 2.59; 95% CI, 1.69-3.98). The findings of this cross-sectional study suggest that accessing EMS for BHEs may expose Black children and youth in disadvantaged neighborhoods to LE use of handcuffing. Emergency medical services should reconsider the role of LE officers in these settings.

Impact of Socioeconomic Deprivation on Care Quality and Surgical Outcomes for Early-Stage Non-Small Cell Lung Cancer in United States Veterans

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.

EPID-12. NEIGHBORHOOD SOCIOECONOMIC STATUS PREDICTS SURVIVAL IN GLIOBLASTOMA: A SINGLE CENTER COHORT STUDY

Abstract BACKGROUND Glioblastoma (GBM) is the most common primary brain malignancy. Despite recent progress in treatments, prognosis for patients remain poor. Recent literature has suggested the association of GBM outcomes and socioeconomic status. However, there is limited evidence regarding the association of neighborhood-level socioeconomic status on GBM outcomes. OBJECTIVE To investigate the impact of neighborhood-level socioeconomic status on GBM outcomes. METHODS We retrospectively reviewed all adult GBM patients at a single institution from 2008 to 2023. Patient addresses underwent geospatial analysis and Area Deprivation Index (ADI) was extracted. Univariable and multivariable survival analyses were performed. A Cox proportional hazards model was used to assess the effect of ADI and other socioeconomic variables while controlling for a priori selected clinical variables with known relevance to survival. RESULTS In total, 1492 patients met inclusion criteria. The average age at diagnosis was 62±14.2 years with a median overall survival of 12.1 [Interquartile Range (IQR) 5-22] months. The median ADI was 66 (IQR 46-84). Patients with high socioeconomic deprivation (ADI>75) were less likely to receive chemotherapy (92% vs 96%, p=.03), and had worse overall survival compared to patients with low socioeconomic deprivation (10 vs 13 months, p=.001). In the multivariable model, patients with high ADI had worse overall survival (hazard ratio [HR], 1.42; 95% confidence interval [CI], 1.16-1.73, p<.001). To account for changes in WHO guidelines, we implemented the model on patients diagnosed between 2017-2023 and findings were consistent (HR 1.34, 95%CI 1.07-1.68, p=.011). CONCLUSIONS We present the largest study reporting the effect of neighborhood-level socioeconomic status on overall survival of GBM patients. Neighborhood-level socioeconomic status provides the most accurate capture of the patient-level socioeconomic determinants of health. Patients with higher ADI have worse overall survival after controlling for other socioeconomic and clinical variables. These results suggest significant association between neighborhood-level socioeconomic status and overall survival in GBM patients.

Social Determinants of 6-Mercaptopurine Adherence Among Patients with Acute Lymphoblastic Leukemia/Lymphoma: A Cross-Sectional Analysis.

Acute lymphoblastic leukemia requires around 18 months of daily oral chemotherapy called 6-mercaptopurine (6-MP) for treatment. Previous research has included a broad age range and shows adolescent/young adult (AYA) age and minoritized race/ethnicity are associated with lower adherence. Few studies have evaluated how these intersecting identities impact adherence. In a retrospective analysis of an AYA sample, we evaluated the relationships between race/ethnicity, area deprivation index (ADI), and insurance with electronically monitored 6-MP adherence. Results showed minoritized race/ethnicity and ADI correlated with adherence. Findings highlight the need for equitable interventions that enhance adherence and improve outcomes among AYAs.

Evaluating the Association of Area Deprivation Index (ADI) on Postoperative Outcomes in Pancreatic Adenocarcinoma.

Pancreatic adenocarcinoma (PDAC) is a challenging disease, with outcomes influenced by several factors including socioeconomic status. The area deprivation index (ADI) has been used to understand how neighborhood disadvantages affect healthcare outcomes. Prior research has indicated that a higher ADI, reflective of a greater neighborhood disadvantage, is associated with an increased risk of major complications and unplanned readmission following PDAC resection. This study aimed to extend this investigation to the Northwell Health System in New York and explore the association between neighborhood ADI and surgical outcomes in patients with PDAC. A retrospective analysis of the Northwell Health multicenter pancreatic cancer database from 2014 to 2023 included patients who underwent PDAC resection. The ADI scores were divided into low (1-3), moderate (4-6), and high (7-10), as previously described. Multinomial regression models and Kaplan-Meier log-rank tests were used to compare differences in surgical outcomes between the patients in each ADI group. Out of 314 PDAC patients who underwent resection and had available ADI data, 116 (36.9%) were in the low, 163 (51.9%) in the moderate, and 35 (11.2%) in the high ADI category. The median ADI score was 4 (IQR: 3-5). Adjusted multinomial regression analysis revealed the following disparities: compared to the low ADI group, patients in the moderate ADI group demonstrated a significantly higher risk of diabetes (RR: 1.76, 95% CI 1.06-2.90, p = 0.028); high ADI was associated with a poorer response to neoadjuvant therapy (RR 3.13, 95% CI 1.11-8.82, p = 0.031), higher incidence of microscopic positive margins (RR 1.87, 95% CI 1.11-5.17, p = 0.028), increased severe complications (Clavien-Dindo class III-IV) (RR 1.36, 95% CI 1.04-1.80, p = 0.027), and a higher failure-to-rescue (FTR) rate (RR 1.44, 95% CI 1.12-1.85, p = 0.048). Although readmission and mortality rates at 30 and 90 days did not show significant differences (p > 0.05), the Kaplan-Meier log-rank test indicated a marked disparity in survival probabilities among ADI ranks (p = 0.0025). This study underscores a pronounced survival disparity across ADI categories among PDAC patients, suggesting an association between socioeconomic status and postoperative survival. Consideration of patient ADI may guide tailored healthcare strategies, such as the distribution of navigation and resources, to bridge the gap in survival outcomes and ensure equitable care for all socioeconomic strata.

Disparities in Buprenorphine Administration for Opioid use Disorder in the Emergency Department.

Although buprenorphine is an effective treatment for opioid use disorder (OUD), this treatment is often not universally provided in the emergency department (ED). We aimed to determine whether patient characteristics, particularly race and ethnicity, were associated with buprenorphine administration. This was a retrospective cross-sectional study of adult patients who had a positive screening result for opioid misuse in the ED at a single urban hospital. Univariate and multivariable logistic regressions were used to assess the association of patient characteristics (race, ethnicity, age, sex, insurance type, and Area Deprivation Index) with buprenorphine administration. Of 1082 patients who screened positive for opioid misuse, 133 (12%) were treated with buprenorphine and 949 (88%) were not. Despite representing over half the patient sample, Black patients (n = 682) were less likely than White patients (n = 310) to be treated with buprenorphine (multivariable: OR, 0.56; 95% CI, 0.35-0.88; P = 0.023). Age, sex, insurance type, ethnicity, and Area Deprivation Index were not associated with buprenorphine administration. Patient race was associated with buprenorphine administration, even after controlling for multiple other social determinants of health. These data suggest racial disparities in care that should be investigated through further research to optimize equitable administration of buprenorphine.

Association of neighborhood-level disadvantage beyond individual sociodemographic factors in patients with or at risk of knee osteoarthritis

ObjectiveLower 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.MethodsThe 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.ResultsLiving 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.ConclusionThe 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.

Neighborhood Socioeconomic Disadvantage Increases Risk of Severe Acute Respiratory Syndrome Coronavirus 2-Mediated Otologic Dysfunction.

We aim to use the Area Deprivation Index (ADI) to investigate the correlations between neighborhood socioeconomic disadvantage (NSD), SARS-CoV-2 vaccination rates, infection severity, and subsequent audiovestibular symptoms. In this retrospective cohort study, surveys were administered to participants ≥18 years of age who received a SARS-CoV-2 vaccination and/or tested positive for SARS-CoV-2 infection between January 2020 and September 2022. ADI scores were calculated for each patient to quantify NSD. Statistical analyses were performed to compare demographic and clinical characteristics between ADI quintiles. Of 2415 participants, the majority were female (62.8%) and White (87%), with a mean age of 60.8 years. Individuals in ADI Quintile 5 were less likely to receive second booster doses than those in Quintile 1 (58% vs. 71%, p < 0.0001). Among those infected with SARS-CoV-2, those in ADI Quintile 5 were 2.5 times more likely to be hospitalized (relative risk = 2.46, 95% confidence interval [1.03, 5.88]) than those in Quintile 1. Symptoms more likely to be experienced by participants in ADI Quintile 5 than those in Quintile 1 immediately following SARS-CoV-2 infection included headaches (28% vs. 21%, p = 0.02), aural fullness (14% vs. 6%, p < 0.0001), change of hearing (8% vs. 4%, p = 0.01), dizziness (15% vs. 8%, p < 0.01), and otalgia (8% vs. 4%, p < 0.01). Individuals experiencing greater NSD were found to have lower SARS-CoV-2 vaccine booster rates, higher rates of postinfection hospitalization, and increased rates of certain otologic and neurotologic symptoms following infection. III Laryngoscope, 2024.

Impact of Neighborhood Disadvantage on Preventive and Acute Care Utilization in Sickle Cell Disease.

Individuals with sickle cell disease (SCD) experience significant healthcare disparities; however, there is little known on the impact of psychosocial stressors and neighborhood disadvantage on preventive and acute care utilization in this population. A retrospective data collection was performed for all patients cared for at a comprehensive pediatric sickle cell center in the Midwest who had also completed the Psychosocial Assessment Tool (PAT), a validated caregiver-reported measurement of family psychosocial risk, from September 2021 through December 2022. Patient age, payor, primary language, frequency of acute and missed preventive care visits, as well as Area Deprivation Index (ADI) and Childhood Opportunity Index (COI) scores were collected for 256 patients. The average state ADI was 6.3 (±2.9), and the majority of patients were in the Very Low or Low COI categories. Total PAT score (p=0.003), state ADI (p<0.001), and state COI (p<0.001) were all significantly correlated with missed SCD clinic visits, with increased odds of a missed visit with increasing neighborhood disadvantage (OR 1.22, p<0.001). The odds of acute care were also increased in those with higher family psychosocial risk (OR 1.76, p<0.011), though this was not seen with ADI or COI, suggesting an additional effect of family stressors and resilience on acute care utilization. This highlights the importance of regular, universal social and psychological risk screening, as well as inclusion of psychosocial team members in SCD programs to identify and readily address risk factors that impact child outcomes in a minoritized chronic disease population.

Remote Foot Temperature Monitoring Among Veterans: Large Observational Study of Noncompliance and Its Correlates.

In-home remote foot temperature monitoring (RTM) holds promise as a method to reduce foot ulceration in high-risk patients with diabetes. Few studies have evaluated adherence to this method or evaluated the factors associated with noncompliance. The aims of this study were to estimate noncompliance in patients who were enrolled in RTM nationwide across Department of Veterans Affairs (VA) and to evaluate characteristics associated with noncompliance. We conducted an observational study including 1137 patients in the VA who were enrolled in RTM between January 2019 and June 2021, with follow-up through October 2021. Patient information was obtained from the VA's electronic health record and RTM use was obtained from the company. Noncompliance was defined as using the mat <2 days per week for ≥4 of the 12 months of follow-up. Using a multivariable model, we calculated odds ratios (ORs) and 95% CIs for associations between various factors and noncompliance and compared using Akaike information criterion statistics, a measure of model fit. The sample was predominantly male (n=1125, 98.94%) ; 21.1% (n=230) were Black and 75.7% (n=825) were White. Overall, 37.6% (428/1137) of patients were classified as noncompliant. In the multivariable model, an intermediate area deprivation index was statistically significantly and inversely associated with noncompliance (area deprivation index 50-74 vs 1-24; OR 0.56, 95% CI 0.35-0.89); factors significantly and positively associated with noncompliance included recent history of osteomyelitis (OR 1.44, 95% CI 1.06-1.97), Gagne comorbidity index score ≥4 (vs ≤0; OR 1.81, 95% CI 1.15-2.83), telehealth encounters (28+ vs <6; OR 1.70, 95% CI 1.02-2.84), hemoglobin A1c≥10 (vs <5.7; OR 2.67, 95% CI 1.27-5.58), and current smoking (OR 2.06, 95% CI 1.32-3.20). Based on Akaike information criterion differences, the strongest factors associated with noncompliance were behavioral factors (poor glucose control [as measured by hemoglobin A1c] and smoking), and to a lesser extent, factors such as a recent history of osteomyelitis and an elevated Gagne comorbidity index, indicating a high comorbidity burden. To reduce the risk of ulcer recurrence and amputation, proactively providing additional support for self-monitoring to patients with characteristics identified in this study (poor glucose control, current smoking, high comorbidity burden) may be helpful. Furthermore, research is needed to better understand barriers to use, and whether the addition of design features, reminders, or incentives may reduce noncompliance and the risk of foot ulcers.

The Impact of Socioeconomic Factors on 90-day Postoperative Readmissions and Cost in Shoulder Arthroplasty Patients

Understanding the impact of Social Drivers of Health (SDOH) on shoulder arthroplasty is pivotal for the development of equitable value-based payment models that enhance the quality of patient care. This investigation aims to understand the influence of Area Deprivation Index (ADI) on hospital admissions, readmissions, and associated costs post-shoulder arthroplasty. We conducted an analysis using US Medicare claims data from 2019 to 2021, identifying patients who received shoulder arthroplasty in either an inpatient or outpatient setting using Current Procedural Terminology (CPT) codes. Our primary outcomes were 90-day unplanned readmissions and post-procedure 90-day care costs. The ADI was our primary exposure variable, calculated at the census block level. Our analysis adjusted for multiple factors using a stepwise modeling approach including patient demographics, 29 Elixhauser comorbid conditions, Medicaid-dual eligibility, and end-stage renal disease status using logistic regression models. A total of 145,435 patients were included in our study. The average age of patients in our cohort was 74.5 years old, with 59.5% being female. Patients in the high ADI group had a higher readmission rate than the lowest ADI group (8.5% vs. 6.0%, p<0.001).When controlling for confounding factors, there was an indepdentent association between high ADI and readmission (OR: 1.28 [95% CI 1.12, 1.46]). Overall, we saw a dose-dependent relationship between ADI and readmission, with the association growing stronger as ADI increased. Conversely, we found a negative association with ADI and high-costs. (High ADI Group OR: 0.80 [95% CI 0.70, 0.91]). Patients in the high SES group had higher healthcare contact days during the 90-day follow-up period, with a median of 16 visits (IQR 8, 23), compared to 13 visits (IQR 6, 22) in the middle SES group and 10 visits (IQR 5, 20) in the low SES group (p<0.001). Socioeconomic disparities significantly influence the outcomes of primary shoulder arthroplasty, as indicated by higher readmission rates for low SES patients. Notably, our analysis shows a strong, independent association between ADI and readmission. Moreover, patients with higher SES incurred greater costs within a 90-day period potentially due to increased resource utilization.

Neighborhood Disadvantage Predicts Delay in Care in Bilateral Breast Reduction.

The Area Deprivation Index (ADI) is a validated quantifiable measure of neighborhood disadvantage and social determinants of health (SDoH). Higher percentiles in ADI correlate with the most disadvantaged neighborhoods: lower income, lower education, and less access to transportation. Using ADI, we aimed to investigate the impact of SDoH on bilateral breast reduction (BBR) complication rates. A retrospective study of BBR patients from 2015 to 2021 was conducted. Patient addresses were matched to ADI percentiles and grouped into most (top 80% ADI) and least disadvantaged. Multivariable regressions were used to compare postoperative treatment between groups and adjust for confounders. In total, 568 patients were analyzed and 47% were high ADI. Time-to-event analysis revealed a 155% (β = 2.55; CI, 1.87-3.48; P < 0.001) increase in time to presentation for treatment of wound-related complications among higher-deprivation patients compared to their lower-deprivation counterparts. This difference in time to presentation equated to approximately 3 days overall when comparing higher to lower deprivation patients; however, this difference between the groups increased to 12 days when comparing those who experienced wound-related complications beyond day 30. High deprivation was associated with increased delays to treatment after complications. More research is needed to determine the factors that impact postoperative courses among high ADI patients.

Trends in All-cause Mortality among U.S. Veterans with Sarcoidosis, 2004–2022

BACKGROUNDSarcoidosis is an idiopathic multiorgan disease with variable clinical outcomes. Comprehensive analysis of sarcoidosis mortality in U.S. Veterans is lacking. RESEARCH QUESTIONSWhat are the trends in all-cause mortality among U.S. Veterans with sarcoidosis, and how are these trends influenced by demographics, Black vs. White racial disparities, and geographic variability in relation to mortality? STUDY DESIGN AND METHODSUsing Veterans Health Administration (VHA) electronic health records (EHR), we conducted a population-based, retrospective cohort study of adjusted all-cause mortality 2004–2022 among Veterans diagnosed with sarcoidosis who received care through the VHA. Demographics, region of residence, service branch, tobacco use, and comorbidities were extracted from EHR. Annual trends in all-cause mortality and patient-level characteristics associated with mortality were examined with multivariable ungrouped Poisson regression. We visualized trends and analyzed state-by-state mortality using the marginal means procedure. In subgroup analysis (2015–2022), we considered the impact of neighborhood-level socioeconomic disparities using the area deprivation index (ADI). RESULTSIn all, 23,745 Veterans were diagnosed with sarcoidosis between 2004 and 2019 and followed through 2022. After adjustment, including age and sex, all-cause mortality increased annually by 4.7% (P<0.0001) and was 6.4% higher in Black than White Veterans (mortality rate ratio=1.064, P=0.02). A subgroup analysis comparing models with and without ADI adjustment showed no meaningful change in mortality trends. Risk factors for increased all-cause mortality included older age, male sex, Black race, and Northeast residence, and lower risk with “Other” service branches. Despite distinct geographical variations in mortality rates, no clear patterns emerged. INTERPRETATIONMortality among Veterans with sarcoidosis is rising. Differences identified by service branch and higher risk among male Veterans raise questions about differences in environmental exposures. The narrower racial disparities and smaller impact of ADI than in other studies may highlight the role of universal healthcare access in achieving equitable outcomes.