Neighborhood Deprivation is Associated With Increased Postoperative Complications After Implant-Based Breast Reconstruction.

PURPOSE: The Area Deprivation Index (ADI) ranks neighborhoods by deprivation based on US Census data. This study utilizes ADI scores to investigate the impact of neighborhood deprivation on complication rates following breast reconstruction. PATIENTS AND METHODS: Patients who received implant-based reconstruction from 2019 to 2023 were identified at a single institution in New York. Patients were linked to a state-specific ADI score and categorized into groups: "High ADI" (6-10) and "Low ADI" (1-5). Patient characteristics and complication rates were compared between the ADI groups with Chi-Square analysis and t-tests. The predictive value of ADI scores on complication rates was assessed using logistic regression models. RESULTS: In total, 471 patients were included, of which 16% (n = 73) were in the High ADI group, and 84% (n = 398) were in the Low ADI group. There were no baseline differences between the 2 groups, except that there were more patients of Hispanic descent in the High ADI group (30% vs. 15%, P < .01). The High ADI group had a higher overall complication rate than the Low ADI group (34% vs. 21%, P < .01), as well as higher individual rates of hematoma (12% vs. 3%, P < .01) and unexpected reoperations (18% vs. 7%, P < .01). After adjusting for differences in race, High ADI scores predicted hematoma, reoperations, and any complication (P < .05). CONCLUSION: Patients living in neighborhoods with high ADI had a higher incidence of postoperative complications, independent of comorbidities and race. This measure of disparity should be considered when counselling patients about their risk of complications following procedures like implant-based breast reconstruction.

Predictors of medical adherence following a bowel management program for youth and young adults with Spina Bifida.

PURPOSE: To evaluate individual and community sociodemographic factors that predict bowel regimen adherence in youth and young adults with Spina Bifida (SB) following participation in a bowel management program (BMP). METHODS: Participants were drawn from clinical cases seen through an International Center for Colorectal and Urogenital Care. Area deprivation index (ADI) scores were extracted from participant addresses and bowel regimen adherence data were collected from the electronic medical record (EMR). RESULTS: Participants' mean age was 8.06 years old, 51.7% were male, 72.4% white, 37.9% Hispanic, 56.9% government insurance, 89.7% myelomeningocele, 15.5% non-adherent. Average neighborhood disadvantage was 5.19 (SD:2.83, range:1-10). After controlling for variables correlated with adherence (p < .20), every one decile higher neighborhood disadvantage score was associated with a 48% decrease in the odds of being adherent (OR = 0.52, p = .005, 95% CI: - 101.90, - 0.21). CONCLUSION: Our results suggest that neighborhood disadvantage is a strong predictor of medical adherence following a BMP, more so than other sociodemographic and health-related variables. These results may assist with identifying which individuals may be at higher risk for poor health outcomes due to neighborhood socioeconomic disadvantage and help health care systems intervene proactively.

High Area Deprivation Index is Associated With Discharge to Foster Care in Pediatric Patients With Non-accidental Trauma.

BACKGROUND: Outcomes after non-accidental trauma (NAT) have been shown to be impacted by social determinants of health. Our study aims to investigate the association between NAT, patient demographics, neighborhood disadvantage as measured by the Area Deprivation Index (ADI), and patient disposition. METHODS: An 8-year retrospective chart review was conducted in pediatric patients presenting to our level I trauma center with suspected NAT. Patient demographics, ADI, injury severity score (ISS), Glasgow coma scale (GCS), length of stay, and discharge disposition were analyzed using univariate and multivariate techniques to evaluate associations between patient demographics, injury severity, and patient outcomes. RESULTS: A total of 84 patients were admitted with suspected NAT. Of our study population, 45% of patients were White and 26% were Black. Black children were overrepresented in this cohort compared to general population means, while White children were underrepresented (p < 0.05). Median ADI was 6.5 (IQR 4.0-8.0). Of our cohort, 65 patients were discharged home, and 18 patients to foster care. One patient in our cohort died. An ADI >6 was the only factor significantly associated with discharge to foster care. This association held on both univariate (OR 1.4; 95% CI 1.07-1.84, p = 0.02) and multivariate (OR 1.4; 95% CI 1.05-1.86, p = 0.02) analyses. CONCLUSION: Our study found that neighborhood disadvantage, as measured by ADI, is an independent predictor of discharge to foster care. Additionally, Black children remain over-represented in the NAT population referred to our institution, including those discharged to foster care. Efforts to address healthcare disparities and community-based NAT prevention and reunification programs are necessary. TYPE OF STUDY: Prognosis Study (Retrospective Case-Control Study). LEVEL OF EVIDENCE: Level III.

Nontuberculous mycobacterial infection in Wisconsin children and adolescents.

Background: The epidemiology of nontuberculous mycobacteria (NTM) infections in the pediatric population is not well described. We estimated the incidence of NTM infection in Wisconsin children and adolescents, and the frequency and type of infection caused by different NTM pathogens. Associations between NTM infection and race/ethnicity and social disadvantage, respectively, were also investigated. Methods: This retrospective cohort study evaluated reports of NTM infection in Wisconsin residents under 18 years of age submitted to a state-wide database between 2011 and 2018. Demographics of the cohort, including a social disadvantage score (Area Deprivation Index (ADI)), are described. Specimen type and NTM species are enumerated for reported isolates. Results: There were 224 NTM isolates from 212 children and adolescents. Median age of participants was 3 years; 55 % were female. Cumulative incidence did not vary significantly between the larger racial groups or for the various ADI score groups. Compared to white participants (157), there was a significantly lower cumulative incidence of NTM infection in multiracial individuals (2). Mycobacterium avium complex (MAC) was the most frequently isolated organism (69 %). The majority of isolates (52 %) were from skin and soft tissue, which included lymph node specimens. Annual incidence did not vary significantly over the study period. Conclusions: The epidemiology of pediatric NTM infections in this cohort is consistent with previous pediatric reports of higher rate of infection in females and predominance of skin and soft tissue infections. Disparities in disease burden across racial/ethnic and socio-economic groups were not demonstrated, but these factors should be further explored in larger pediatric studies of diverse U.S. populations.

Investigating the relationships between motor skills, cognitive status, and area deprivation index in Arizona: a pilot study.

Introduction: Previous studies highlight the negative impact of adverse socioeconomic conditions throughout life on motor skills and cognitive health. Factors such as cognitive activity, physical activity, lifestyle, and socioeconomic position significantly affect general health status and brain health. This pilot study investigates the relationships among the Area Deprivation Index (ADI)-a measure of neighborhood-level socioeconomic deprivation, brain structure (cortical volume and thickness), and cognitive status in adults in Arizona. Identifying measures sensitive to ADI could elucidate mechanisms driving cognitive decline. Methods: The study included 22 adults(mean age = 56.2 ± 15.2) in Arizona, residing in the area for over 10 years(mean = 42.7 ± 15.8). We assessed specific cognitive domains using the NeuroTrax™ cognitive screening test, which evaluates memory, executive function, visual-spatial processing, attention, information processing speed, and motor function. We also measured cortical thickness and volume in 10 cortical regions using FreeSurfer 7.2. Linear regression tests were conducted to examine the relationships between ADI metrics, cognitive status, and brain health measures. Results: Results indicated a significant inverse relationship between ADI metrics and memory scores, explaining 25% of the variance. Both national and state ADI metrics negatively correlated with motor skills and global cognition (r's < -0.40, p's < 0.05). In contrast, ADI metrics generally positively correlated with motor-related volumetric and cortical thickness measures (r's > 0.40, p's < 0.05). Conclusion: The findings suggest that neighborhood-level social deprivation might influence memory and motor status, primarily through its impact on motor brain health.

Regional disparities in measles vaccination coverage and their associated factors: an ecological study in Japan.

BACKGROUND: The decline in measles vaccination coverage is a global concern. In Japan, coverage of the first-dose of measles vaccine, which had exceeded the target of 95.0% since fiscal year (FY) 2010, fell to 93.5% in FY 2021. Vaccination coverage increased to 95.4% in FY 2022 but varied by municipality. Few studies have focused on regional disparities in measles vaccination coverage. This study aimed to clarify the regional disparities in measles vaccination coverage by municipality in Japan and their associated factors. METHODS: In this ecological study, the measles vaccination coverage in FY 2022; population density; area deprivation index (ADI, an indicator of socioeconomic status); proportion of foreign nationals, single-father households, single-mother households, and mothers aged ≥30 years; and number of medical facilities, pediatricians, and non-pediatric medical doctors in 1,698 municipalities were extracted from Japanese government statistics. Negative binomial regression was performed with the number of children vaccinated against measles as the dependent variable, number of children eligible for measles vaccination as the offset term, and other factors as independent variables. RESULTS: Vaccination coverage was less than 95.0% in 54.3% of municipalities. Vaccination coverage was significantly positively associated with population density and negatively associated with the proportion of single-father households, mothers aged ≥30 years, and the ADI (incidence rate ratio [IRR]: 1.004, 0.976, 0.999, 0.970, respectively). CONCLUSION: This study showed regional disparities in measles vaccination coverage in Japan. Single-father households, age of mothers, and socioeconomic status may be key factors when municipalities consider strategies to improve vaccination coverage.

Using social risks to predict unplanned hospital readmission and emergency care among hospitalized Veterans.

OBJECTIVES: (1) To estimate the association of social risk factors with unplanned readmission and emergency care after a hospital stay. (2) To create a social risk scoring index. DATA SOURCES AND SETTING: We analyzed administrative data from the Department of Veterans Affairs (VA) Corporate Data Warehouse. Settings were VA medical centers that participated in a national social work staffing program. STUDY DESIGN: We grouped socially relevant diagnoses, screenings, assessments, and procedure codes into nine social risk domains. We used logistic regression to examine the extent to which domains predicted unplanned hospital readmission and emergency department (ED) use in 30 days after hospital discharge. Covariates were age, sex, and medical readmission risk score. We used model estimates to create a percentile score signaling Veterans' health-related social risk. DATA EXTRACTION: We included 156,690 Veterans' admissions to a VA hospital with discharged to home from 1 October, 2016 to 30 September, 2022. PRINCIPAL FINDINGS: The 30-day rate of unplanned readmission was 0.074 and of ED use was 0.240. After adjustment, the social risks with greatest probability of readmission were food insecurity (adjusted probability = 0.091 [95% confidence interval: 0.082, 0.101]), legal need (0.090 [0.079, 0.102]), and neighborhood deprivation (0.081 [0.081, 0.108]); versus no social risk (0.052). The greatest adjusted probabilities of ED use were among those who had experienced food insecurity (adjusted probability 0.28 [0.26, 0.30]), legal problems (0.28 [0.26, 0.30]), and violence (0.27 [0.25, 0.29]), versus no social risk (0.21). Veterans with social risk scores in the 95th percentile had greater rates of unplanned care than those with 95th percentile Care Assessment Needs score, a clinical prediction tool used in the VA. CONCLUSIONS: Veterans with social risks may need specialized interventions and targeted resources after a hospital stay. We propose a scoring method to rate social risk for use in clinical practice and future research.

Assessing the Relationship Between Neighborhood Socioeconomic Disadvantage and Telemedicine Use Among Patients With Breast Cancer and Examining Differential Provisions of Oncology Services Between Telehealth and In-Person Visits: Quantitative Study.

BACKGROUND: Since the COVID-19 pandemic began, we have seen rapid growth in telemedicine use. However, telehealth care and services are not equally distributed, and not all patients with breast cancer have equal access across US regions. There are notable gaps in existing literature regarding the influence of neighborhood-level socioeconomic status on telemedicine use in patients with breast cancer and oncology services offered through telehealth versus in-person visits. OBJECTIVE: We assessed the relationship between neighborhood socioeconomic disadvantage and telemedicine use among patients with breast cancer and examined differential provisions of oncology services between telehealth and in-person visits. METHODS: Neighborhood socioeconomic disadvantage was measured using the Area Deprivation Index (ADI), with higher scores indicating greater disadvantages. Telemedicine and in-person visits were defined as having had a telehealth and in-person visit with a provider, respectively, in the past 12 months. Multivariable logistic regression was performed to examine the association between ADI and telemedicine use. The McNemar test was used to assess match-paired data on types of oncology services comparing telehealth and in-person visits. RESULTS: The mean age of the patients with breast cancer (n=1163) was 61.8 (SD 12.0) years; 4.58% (52/1161) identified as Asian, 19.72% (229/1161) as Black, 3.01% (35/1161) as Hispanic, and 72.78% (845/1161) as White. Overall, 35.96% (416/1157) had a telemedicine visit in the past 12 months. Of these patients, 65% (266/409) had a videoconference visit only, 22.7% (93/409) had a telephone visit only, and 12.2% (50/409) had visits by both videoconference and telephone. Higher ADI scores were associated with a lower likelihood of telemedicine use (adjusted odds ratio [AOR] 0.89, 95% CI 0.82-0.97). Black (AOR 2.38, 95% CI 1.41-4.00) and Hispanic (AOR 2.65, 95% CI 1.07-6.58) patients had greater odds of telemedicine use than White patients. Compared to patients with high school or less education, those with an associate's degree (AOR 2.67, 95% CI 1.33-5.35), a bachelor's degree (AOR 2.75, 95% CI 1.38-5.48), or a graduate or professional degree (AOR 2.57, 95% CI 1.31-5.04) had higher odds of telemedicine use in the past 12 months. There were no significant differences in providing treatment consultation (45/405, 11.1% vs 55/405, 13.6%; P=.32) or cancer genetic counseling (11/405, 2.7% vs 19/405, 4.7%; P=.14) between telehealth and in-person visits. Of the telemedicine users, 95.8% (390/407) reported being somewhat to extremely satisfied, and 61.8% (254/411) were likely or very likely to continue using telemedicine. CONCLUSIONS: In this study of a multiethnic cohort of patients with breast cancer, our findings suggest that neighborhood-level socioeconomic disparities exist in telemedicine use and that telehealth visits could be used to provide treatment consultation and cancer genetic counseling. Oncology programs should address these disparities and needs to improve care delivery and achieve telehealth equity for their patient populations.

Association of neighborhood disadvantage with cognitive function and cortical disorganization in an unimpaired cohort.

Objective: Neighborhood disadvantage is associated with worse health and cognitive outcomes. Morphological similarity network (MSN) is a promising approach to elucidate cortical network patterns underlying complex cognitive functions. We hypothesized that MSNs could capture intricate changes in cortical patterns related to neighborhood disadvantage and cognitive function, potentially explaining some of the risk for later life cognitive impairment among individuals who live in disadvantaged contexts. Methods: This cross-sectional study included cognitively unimpaired participants (n=524, age=62.96±8.377, gender (M:F)=181:343, ADI(L:H) =450,74) from the Wisconsin Alzheimer's Disease Research Center or Wisconsin Registry for Alzheimer's Prevention. Neighborhood disadvantage status was obtained using the Area Deprivation Index (ADI). Cognitive performance was assessed through six tests evaluating memory, executive functioning, and the modified preclinical Alzheimer's cognitive composite (mPACC). Morphological Similarity Networks (MSN) were constructed for each participant based on the similarity in distribution of cortical thickness of brain regions, followed by computation of local and global network features. We used linear regression to examine ADI associations with cognitive scores and MSN features. The mediating effect of MSN features on the relationship between ADI and cognitive performance was statistically assessed. Results: Neighborhood disadvantage showed negative association with category fluency, implicit learning speed, story recall and mPACC scores, indicating worse cognitive function among those living in more disadvantaged neighborhoods. Local network features of frontal and temporal brain regions differed based on ADI status. Centrality of left lateral orbitofrontal region showed a partial mediating effect between association of neighborhood disadvantage and story recall performance. Conclusion: Our findings suggest differences in local cortical organization by neighborhood disadvantage, which also partially mediated the relationship between ADI and cognitive performance, providing a possible network-based mechanism to, in-part, explain the risk for poor cognitive functioning associated with disadvantaged neighborhoods. Future work will examine the exposure to neighborhood disadvantage on structural organization of the brain.

Area Deprivation Index and Frailty Among Older People With HIV.

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, Æ¡2 = 25) compared to CO (µ= 32, Æ¡2 = 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, Æ¡2 = 28) compared to those without (µ = 55, Æ¡2 = 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.

Neighborhood Deprivation and Treatment Challenges in Pediatric Musculoskeletal Infections: A Socioeconomic Analysis.

Introduction Musculoskeletal (MSK) infections are prevalent in the pediatric population, with previous research highlighting the significant impact of socioeconomic status (SES) on treatment outcomes. However, the specific link in pediatric cohorts remains poorly understood. The Area Deprivation Index (ADI), a measure of neighborhood-level disadvantage, serves as a crucial marker for SES. This study aims to investigate how ADI influences disease characteristics, treatment delays, and outcomes in pediatric patients with MSK infections. Methods A single-center retrospective cohort analysis was conducted using patient charts from a large urban pediatric hospital over six years from 2017 to 2022. Patients aged 0-18 years with diagnoses of osteomyelitis, septic arthritis, cellulitis, or pyomyositis were identified using the International Classification of Diseases - 10th Revision (ICD-10) codes. Data collection included demographics, disease characteristics, treatment delay intervals, and complications. Patient zip codes were obtained and entered into the Neighborhood Atlas® mapping website to determine their ADI. Patients were then stratified into four groups based on ADI scores: 1-10, 11-20, 21-40, and 41-100. Statistical analysis included the use of the Mann-Whitney U test for continuous data and the Chi-square/Fisher's exact test for binary and categorical data comparisons among the ADI groups. Results A total of 121 patients were included. Categorization based on ADI revealed 25 (20.7%) patients in the 1-10 ADI percentile group, 36 (29.8%) in the 11-20 group, 38 (31.4%) in the 21-40 group, and 22 (18.2%) in the 41-100 group. There were no significant differences between ADI and patient demographics, disease characteristics, presentation delay interval, treatment received, and complications. Conclusion The study demonstrates that there was no significant difference between ADI groups regarding demographics, disease characteristics, presentation delay interval, treatment received, and complications in pediatric populations. Despite the lack of evidence for differences in MSK infections attributable to ADI, this does not negate the potential existence of such a relationship.

Amateur Athletic Union (AAU) Accessibility: An Area Deprivation Index (ADI) Analysis of National Basketball Association (NBA) Players' Profiles.

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. 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.

Neighborhood Socioeconomic Deprivation and Health Care Costs in Older Community-Dwelling Adults: Importance of Functional Impairment and Frailty.

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.

Socioeconomic Disparities in Pediatric Traumatic Brain Injury Transfer Patterns: An Analysis of Area Deprivation Index and Clinical Outcomes.

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

The Effect of Greater Area Deprivation and Medicaid Insurance Status on Timing of Care and Rate of Reinjury After Anterior Cruciate Ligament Reconstruction.

Background: Lower socioeconomic status and public insurance lead to a longer delay to surgery and a higher likelihood of concomitant pathology before undergoing anterior cruciate ligament reconstruction (ACLR). However, few studies have examined the influence of community deprivation on ACLR timing and outcomes. Purpose/Hypothesis: The primary aim of this study was to define the effect of the area deprivation index (ADI) and insurance classification on access to orthopaedic care after an ACL rupture, and the secondary aim was to determine whether these variables were associated with a second ACL injury after primary ACLR. It was hypothesized that patients with a greater national ADI percentile and Medicaid insurance would experience longer delays to care and an increased risk of reinjury after ACLR. Study Design: Cohort study; Level of evidence, 3. Methods: A retrospective study was performed to evaluate patients undergoing primary ACLR between 2016 and 2019. The national ADI percentile was obtained utilizing the Neighborhood Atlas website. The relationship between national ADI percentile and care characteristics (eg, time to specialized care) was investigated using the Spearman rho correlation coefficient (r). The association between patient and care characteristics and second ACL injury after the index procedure (ie, graft rerupture or contralateral ACL rupture) was investigated using binary logistic regression. Results: A total of 197 patients met the inclusion criteria. Longer times from injury to surgery (r = 0.238; P < .001) and from specialized care to surgery (r = 0.217; P = .002) were associated with a greater national ADI percentile. The second injury group reported significantly greater national ADI (P = .026) and included a greater percentage of patients with Medicaid insurance (31.3%) compared with the no second injury group. Patients experienced 5.1% greater odds of a second ACL injury for each additional month between evaluation and surgery. Conclusion: Greater national ADI percentile and Medicaid insurance status were associated with adverse ACLR timing and outcomes. Patients with a greater national ADI percentile took significantly longer to obtain surgery after ACL injury. Those who sustained a second ACL injury after ACLR had an overall higher mean national ADI percentile and included a greater proportion of patients with Medicaid compared with those who did not sustain a second ACL injury. Future studies should critically investigate the underlying factors of these associations to reach equity in orthopaedic care.

The Role of Telemedicine in Voice Therapy.

Introduction: During the COVID-19 pandemic, our institution adopted telemedicine for voice therapy (VT) as an alternative to in-person sessions, which has been integrated into our routine practice following the pandemic. This study aims to explore factors influencing completion rates among the 2 methods. Method: A retrospective chart review at a single tertiary care institution between 2019 and 2021 was conducted. Patient zip codes were used to determine Neighborhood Atlas® Area Deprivation Index (ADI) scores and travel distance to our institution. Demographic data, Voice Handicap Index (VHI) scores, and completion status were extracted. Results: Between 2019 and 2021, 521 patients were referred to VT at our institution, with 29% opting for telemedicine VT (TVT) sessions and 71% choosing in-person sessions. Seventy-four percent was female, and average age was 57.1 years (range:10-89 years old). No statistically significant differences were observed between the 2 groups regarding sex, age, employment status, or insurance type. Participants in the TVT group demonstrated notably higher completion rates compared to the in-person group [70.0% vs 31.6% (P < .001)]. The TVT group also comprised of a higher percentage of white patients, reported longer travel distances and times to reach therapy, but had comparable ADI scores to the in-person group. Moreover, there were no significant differences in pretreatment VHI scores between the 2 groups or between those who completed therapy versus those who did not (P = .501). Conclusion: Our findings indicate that patients utilizing the telemedicine platform had significantly higher VT completion rates compared to patients appearing in person. These results highlight the importance of being able to offer telemedicine-based options in the management of voice patients.

Evaluating the relationship between health-related social needs, patient demographics, and access to biologics in patients with moderate-to-severe asthma in Bronx, NY.

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.

Associations of role, area deprivation index, and race with health behaviors and body mass index among localized prostate cancer patients and their partners.

PURPOSE: To examine the associations of role (localized prostate cancer (PCa) patient vs. their intimate partner), area deprivation index (ADI-higher scores indicating higher neighborhood deprivation levels), and race (Black/African American (AA) vs. White) with health behaviors and body mass index (BMI) among PCa patients and partners. The behaviors include smoking, alcohol consumption, diet quality, sedentary behaviors, and physical activity (PA). METHODS: This study used the baseline data collected in a clinical trial. Given the nested structure of the dyadic data, multi-level models were used. RESULTS: Significant role-race interaction effects on smoking, ADI-race effects on alcohol consumption, and role-ADI effects on BMI were found. Meanwhile, patients smoked more cigarettes, decreased alcohol consumption, had less healthful diets, spent longer time watching TV, did fewer sedentary hobbies, had more confidence in PA, and had higher BMIs than their partners. High ADI was independently associated with lower odds of drinking alcohol, using computer/Internet, and doing non-walking PA, and higher BMI compared to low ADI controlling for role and race. Black/AA dyads had less smoking amount and alcohol consumption and higher sedentary time and BMI than White dyads when adjusted for role and ADI. CONCLUSIONS: This study identified significant interaction and main effects of role, ADI, or race on health behaviors and BMI. IMPLICATIONS FOR CANCER SURVIVORS: Future behavioral interventions should address divergent individual needs between patients and partners, social and neighborhood barriers, and cultural indicators of racial groups to promote healthful behaviors and improve the quality of survivorship for PCa patients and partners.

Socioeconomic Disparities and the Prevalence of Antimicrobial Resistance.

BACKGROUND: The increased prevalence of antimicrobial resistant (AMR) infections is a significant global health threat, resulting in increased morbidity, mortality, 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 (EHR) of two expansive healthcare systems within the Dallas-Fort Worth, TX (DFW) metropolitan area. Among individuals with EHR records who resided in the four most populus counties in DFW, culture data were aggregated. Case counts for each organism studied were standardized per 1,000 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 and MRSA 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.

Development of Neighborhood Trajectories Employing Historic Redlining and the Area Deprivation Index.

The role of historic residential redlining on health inequities is intertwined with policy changes made before and after the 1930s that influence current neighborhood characteristics and shape ongoing structural racism in the United States (U.S.). We developed Neighborhood Trajectories which combine historic redlining data and the current neighborhood socioeconomic characteristics as a novel approach to studying structural racism. Home Owners' Loan Corporation (HOLC) neighborhoods for the entire U.S. were used to map the HOLC grades to the 2020 U.S. Census block group polygons based on the percentage of HOLC areas in each block group. Each block group was also assigned an Area Deprivation Index (ADI) from the Neighborhood Atlas®. To evaluate changes in neighborhoods from historic HOLC grades to present degree of deprivation, we aggregated block groups into "Neighborhood Trajectories" using historic HOLC grades and current ADI. The Neighborhood Trajectories are "Advantage Stable"; "Advantage Reduced"; "Disadvantage Reduced"; and "Disadvantage Stable." Neighborhood Trajectories were established for 13.3% (32,152) of the block groups in the U.S., encompassing 38,005,799 people. Overall, the Disadvantage-Reduced trajectory had the largest population (16,307,217 people). However, the largest percentage of non-Hispanic/Latino Black residents (34%) fell in the Advantage-Reduced trajectory, while the largest percentage of Non-Hispanic/Latino White residents (60%) fell in the Advantage-Stable trajectory. The development of the Neighborhood Trajectories affords a more nuanced mechanism to investigate dynamic processes from historic policy, socioeconomic development, and ongoing marginalization. This adaptable methodology may enable investigation of ongoing sociopolitical processes including gentrification of neighborhoods (Disadvantage-Reduced trajectory) and "White flight" (Advantage Reduced trajectory).