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.

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.

The Association of Frailty and Neighborhood Disadvantage with Emergency Department Visits and Hospitalizations in Older Adults.

BACKGROUND: Risk stratification and population management strategies are critical for providing effective and equitable care for the growing population of older adults in the USA. Both frailty and neighborhood disadvantage are constructs that independently identify populations with higher healthcare utilization and risk of adverse outcomes. OBJECTIVE: To examine the joint association of these factors on acute healthcare utilization using two pragmatic measures based on structured data available in the electronic health record (EHR). DESIGN: In this retrospective observational study, we used EHR data to identify patients aged ≥ 65 years at Atrium Health Wake Forest Baptist on January 1, 2019, who were attributed to affiliated Accountable Care Organizations. Frailty was categorized through an EHR-derived electronic Frailty Index (eFI), while neighborhood disadvantage was quantified through linkage to the area deprivation index (ADI). We used a recurrent time-to-event model within a Cox proportional hazards framework to examine the joint association of eFI and ADI categories with healthcare utilization comprising emergency visits, observation stays, and inpatient hospitalizations over one year of follow-up. KEY RESULTS: We identified a cohort of 47,566 older adults (median age = 73, 60% female, 12% Black). There was an interaction between frailty and area disadvantage (P = 0.023). Each factor was associated with utilization across categories of the other. The magnitude of frailty's association was larger than living in a disadvantaged area. The highest-risk group comprised frail adults living in areas of high disadvantage (HR 3.23, 95% CI 2.99-3.49; P < 0.001). We observed additive effects between frailty and living in areas of mid- (RERI 0.29; 95% CI 0.13-0.45; P < 0.001) and high (RERI 0.62, 95% CI 0.41-0.83; P < 0.001) neighborhood disadvantage. CONCLUSIONS: Considering both frailty and neighborhood disadvantage may assist healthcare organizations in effectively risk-stratifying vulnerable older adults and informing population management strategies. These constructs can be readily assessed at-scale using routinely collected structured EHR data.

Neighborhood disadvantage, race, and clinical outcomes in neuromyelitis optica spectrum disorder.

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.

Neighborhood economic vulnerability as a predictor for patterns of care and outcomes for patients with uterine cancer.

OBJECTIVE: To quantify the effect of neighborhood socioeconomic vulnerability as it relates to racial disparity in uterine cancer treatment and survival. METHODS: 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. RESULTS: 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). CONCLUSIONS: 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.

Disadvantaged Neighborhoods Continue to Bear the Burden of Gun Violence.

INTRODUCTION: Gun violence is a pervasive and dynamic public health crisis causing substantial burden on communities and healthcare systems in the United States. Risk factor and outcome analyses are crucial to develop effective interventions. The aim of this study was to assess firearm injury in a diverse community setting as it relates to neighborhood socioeconomic disadvantage and changes over time following large-scale local interventions. METHODS: All county residents with firearm injury presenting to a Level 1 Trauma Center from January 2012 to December 2021 were retrospectively reviewed. Area Deprivation Index (ADI) was used to measure neighborhood socioeconomic disadvantage based on a nine-digit zip code at patients' home address. Injuries were also stratified by 5-year time periods, 2012-2016 and 2017-2021. Demographics and clinical data were analyzed including injury severity, hospital course, and discharge location. Data were compared by ADI quintile and between time periods using chi-squared, one-way analysis of variance, and Cochran-Armitage test. RESULTS: A total of 1044 injuries were evaluated. Patients were 93% male with mean age of 29 y (standard deviation 10.2) and were concentrated in the most disadvantaged neighborhoods (74% ADI Q5). Black or African American race was greater in the most disadvantaged ADI groups (76% versus 47%-66%; P <0.001). Percentage of total injuries in the most disadvantaged ADI group rose from 71% to 78% over time (P = 0.006). Mortality occurred in 154 (15%) patients overall, while most (71%) were discharged to home. Mortality declined from 18% to 11% over time (P <0.001). Medicaid utilization rose from 42% to 77% alongside a decrease in self-pay status from 44% to 4% (P <0.001). There were no clinically significant group differences in injury severity or clinical characteristics. CONCLUSIONS: Firearm injury remains concentrated in the most socioeconomically disadvantaged neighborhoods, and this disparity is increasing over time. Medicaid utilization rose and mortality decreased in this population over time. This research presents a method to inform and monitor local gun violence interventions using ADI to address public health equity.

Health Literacy and Health-care Resource Utilization Following Gastrostomy Tube Placement in Pediatric Patients.

INTRODUCTION: Parental health literacy and neighborhood socioeconomic disadvantage are associated with adverse health outcomes and increased health-care resource utilization in children. We sought to evaluate the association between community-level health literacy and neighborhood socioeconomic disadvantage and their relationships with outcomes of pediatric patients undergoing gastrostomy tube (GT) placement. METHODS: Pediatric patients who underwent GT placement from 2000 to 2019 were identified using the IBM MarketScan Research database. Claims data were merged with the health literacy index (HLI) and area deprivation index (ADI), measures of community-level health literacy and neighborhood socioeconomic disadvantage, respectively. We used multivariate logistic regression to estimate factors associated with postoperative 30- and 90-day ED visits (EVs) and 30-day readmissions. RESULTS: A total of 4374 pediatric patients underwent GT placement. In this cohort, 6.1% and 11.4% had 30-day and 90-day EV; and 30-day readmissions in 19.75%. HLI was lower in those with 30-(244.6 ± 6.1 versus 245.4 ± 6.1; P = 0.0482) and 90-(244.5 ± 5.8 versus 245.5 ± 6.1; P = 0.001) day EV, and 30-day readmission (244.5 ± 5.56 versus 245.4 ± 6.1; P = 0.001) related to GT. ADI was lower in those with 90-day EV (55.1 ± 13.1 versus 55.9 ± 14.6; P = 0.0244). HLI was associated with decreased odds of 30- (adjusted odds ratio: 0.968; 95% confidence interval: 0.941-0.997) and 90-day (adjusted odds ratio: 0.975; 95% confidence interval: 0.954-0.998) EV following GT placement. ADI was also significantly associated with 30 and 90-day EV following GT placement. CONCLUSIONS: In pediatric patients undergoing GT placement, higher ecologically-measured health literacy and neighborhood socioeconomic disadvantage are associated with decreased health-care resource utilization, as evidenced by decreased ED visits. Future studies should focus on the role of individual parental health literacy in outcomes of pediatric surgical patients.

The Association of Neighborhood Socioeconomic Status with Executive Function and Processing Speed in Cognitively Normal Mexican American Elders from the Health and Aging Brains Study: Health Disparities Cohort.

INTRODUCTION: Neighborhood socioeconomic status (NSES) has been linked with overall health, and this study will evaluate whether NSES is cross-sectionally associated with cognition in non-Hispanic whites (NHWs) and Mexican Americans (MAs) from the Health and Aging Brain: Health Disparities Study (HABS-HD). METHODS: The HABS-HD is a longitudinal study conducted at the University of North Texas Health Science Center. The final sample analyzed (n = 1,312) were 50 years or older, with unimpaired cognition, and underwent an interview, neuropsychological examination, imaging, and blood draw. NSES was measured using the national area deprivation index (ADI) percentile ranking, which considered socioeconomic variables. Executive function and processing speed were assessed by the trail making tests (A and B) and the digit-symbol substitution test, respectively. Linear regression was used to assess the association of ADI and cognitive measures. RESULTS: MAs were younger, more likely to be female, less educated, had higher ADI scores, performed worse on trails B (all p < 0.05), and had lower prevalence of APOE4 + when compared to NHWs (p < 0.0001). A higher percentage of MAs lived in the most deprived neighborhoods than NHWs. For NHWs, ADI did not predict trails B or DSS scores, after adjusting for demographic variables and APOE4. For MAs, ADI predicted trails A, trails B, and DSS after adjusting for demographic covariates and APOE4 status. CONCLUSION: Our study revealed that living in an area of higher deprivation was associated with lower cognitive function in MAs but not in NHWs, which is important to consider in future interventions to slow cognitive decline.

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).

A Comparison of Three Area-Level Indices of Neighborhood Deprivation and Socioeconomic Status and their Applicability to Breast Cancer Mortality.

Neighborhood deprivation indices are widely used in research, but the performance of these indices has rarely been directly compared in the same analysis. We examined the Area Deprivation Index, Neighborhood Deprivation Index, and Yost index, and compared their associations with breast cancer mortality. Indices were constructed for Georgia census block groups using 2011-2015 American Community Survey data. Pearson correlation coefficients and percent agreement were calculated. Associations between each index and breast cancer mortality were estimated among 36,795 women diagnosed with breast cancer using Cox proportional hazards regression. The indices were strongly correlated (absolute value of correlation coefficients > 0.77), exhibited moderate (41.4%) agreement, and were similarly associated with a 36% increase in breast cancer mortality. The similar associations with breast cancer mortality suggest the indices measure the same underlying construct, despite only moderate agreement. By understanding their correlations, agreement, and associations with health outcomes, researchers can choose the most appropriate index for analysis.

Correlating neighborhood-level deprivation and pediatric metabolic dysfunction-associated steatotic liver disease.

OBJECTIVES: The primary objective of this study is to further explore associations between social influencers of health and markers of disease severity at the time of presentation of patients with pediatric metabolic dysfunction-associated steatotic liver disease (MASLD) using neighborhood-level Area Deprivation Index (ADI) scores. METHODS: A retrospective cross-sectional study was conducted among 344 pediatric MASLD patients. Each patient received an ADI score based on their 9-digit zip code. Groups were defined as low (≤5) and high (6≥) ADI. Associations between ADI and symptomatology and laboratory values at presentation, as well as initial liver biopsy pathology were tested via analyses of covariance, χ2 testing, and logistic regressions. RESULTS: The mean ADI was 6.54 (standard deviation = 2.09). ADI groups did not significantly differ in age of presentation, type of presentation, or associated conditions, except for the higher ADI group having on average lower vitamin D levels (26.70 vs. 29.91, p = 0.02) and being two times more likely to also be diagnosed with low high-density lipoprotein (HDL) levels (p = 0.04, 95% CI 1.04-3.89). Mean transaminases and histopathologic nonalcoholic fatty liver disease (NAFLD) Activity Scores did not significantly differ between ADI groups. CONCLUSIONS: Pediatric patients with MASLD in this study span the entire spectrum of neighborhood deprivation. There were no differences in presentation characteristics or severity of MASLD, aside from lower HDL-cholesterol and vitamin D values in the high ADI group. Area deprivation was not predictive of more severe disease as assessed by serum transaminases and liver biopsy NAFLD activity scores.

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.

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.

Evaluating Receipt of Optimal Medical Therapy Amongst Structurally Disadvantaged Groups Undergoing Amputation.

OBJECTIVES: Optimal medical therapy (OMT) for peripheral artery disease (PAD) is associated with decreased major amputation and mortality. OMT has several components, including antiplatelet and high-intensity statin therapy, blood pressure control, etc. While there are disparities in receipt of OMT among PAD patients, it is unknown if patients from disadvantaged neighborhoods, measured by the area deprivation index (ADI), are less likely to be on OMT. METHODS: We performed a retrospective review of patients that underwent major lower extremity amputation between 2015 and 2019 at two large academic healthcare systems. Primary exposure was high ADI, defined as ADI ≥60th percentile, and secondary exposure was non-Hispanic Black (NHB) race. For each analysis, the primary outcome of interest was receipt of OMT, defined here as at least one antiplatelet agent and a high-intensity statin. The exposure outcome relationship was assessed using multivariable logistic regression. RESULTS: Among 354 patients with median age of 66 (interquartile range [IQR] 58-74), 267 (75.4%) were male, 219 (61.9%) identified as NHB and 116 (32.8%) as non-Hispanic White. Overall, 91 (25.7%) patients were on OMT at time of amputation despite 57.3% of the cohort being established with a vascular surgeon. Compared to those with low ADI, the category high ADI had a higher proportion of NHB patients (48.1% vs 70.3%, p= 0.001) and patients were more often hospitalized at the University-affiliated facilities (47.4% vs 63.0%, p= 0.004). High ADI was not associated with receipt of OMT prior to major amputation (adjusted odds ratio [aOR] 0.72, 95% confidence interval [CI] 0.42-1.24). In secondary analysis, NHB race was not associated with receipt of OMT. Stratification by facility type (Veterans Affairs and University-affiliated facilities) also showed no association between high ADI or race and receipt of OMT. CONCLUSIONS: Neighborhood economic well-being is not associated with receipt of OMT prior to major amputation. While the absence of socioeconomic disparities is notable, the proportion of patients on OMT is suboptimal. Care processes should be critically evaluated and quality measures potentially created to improve the rate of receipt of OMT among patients at risk for amputation.

The role of area deprivation index in health care disruptions among cancer survivors during the SARS-CoV-2 pandemic.

OBJECTIVE: To examine the associations between demographic/medical and geographic factors with follow-up medical care and health-related quality of life (HRQoL) among cancer survivors during the SARS-CoV-2 pandemic. STUDY DESIGN: Cross-sectional survey. METHODS: An online survey was sent to cancer survivors between May 2020 and January 2021, exploring their experience with SARS-CoV-2, follow-up care, and HRQoL. PolicyMap was used to geocode home addresses. Both geographic and demographic/medical factors were examined for their associations with SARS-CoV-2 experience, follow-up care, and HRQoL (FACT-G7). RESULTS: Geographic data were available for 9651 participants. Patients living in the highest area deprivation index (ADI) neighborhoods (most deprived) had higher odds of avoiding in-person general (odds ratio [OR] = 7.20; 95% confidence interval [CI] = 2.79-18.60), cancer (OR = 8.47; 95% CI = 3.73-19.30), and emergency (OR = 14.2; 95% CI = 5.57-36.30) medical care, as well as lower odds of using telemedicine (OR = 0.61; 95% CI = 0.52-0.73) compared to the lowest ADI group. Race/ethnicity was not associated with follow-up care after controlling for ADI. The effect of ADI on HRQoL was generally in the expected direction, with higher ADI being associated with worse HRQoL. CONCLUSIONS: ADI influenced follow-up medical care more than age, race/ethnicity, or health insurance type. Healthcare providers and institutions should focus on decreasing barriers to in-person and telemedicine health care that disproportionally impact those living in more deprived communities, which are exacerbated by health care disruptions like those caused by the SARS-CoV-2 pandemic.

The Effect of Socioeconomic Status on Clinical Outcomes and Implant Survivorship After Primary Anatomic and Reverse Total Shoulder Arthroplasty.

BACKGROUND: 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). METHODS: 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 pre- to postoperative improvement in range of motion, 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 MCID, SCB, and PASS and revision-free survivorship were compared between groups. RESULTS: A total of 1,148 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 TSA. We identified a weak negative correlation between national ADI and most functional outcome scores and range of motion preoperatively (R range 0.07 to 0.16), postoperatively (R range 0.09 to 0.14), and pre- to postoperative improvement (R range 0.01 to 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 TSA cohort. However, in the reverse TSA cohort, the proportion of patients achieving MCID, SCB, and PASS decreased with greater deprivation. There was no difference in survivorship between ADI groups . CONCLUSIONS: We found a negative effect of low socioeconomic status on baseline and postoperative patient outcomes and range-of-motion; 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.

Neighborhood socioeconomic disadvantages influence outcomes following rotator cuff repair in the non-Medicaid population.

BACKGROUND: Prior investigations have utilized various surrogate markers of socioeconomic status to assess how health care disparities impact outcomes after rotator cuff repair (RCR). When taken as individual markers, these factors have inconsistent associations. Medicaid insurance status is an accessible marker that has recently been correlated with less optimal outcomes after RCR. Socioeconomic disparities exist within the non-Medicaid population as well and are arguably more difficult to characterize. The Area Deprivation Index (ADI) uses seventeen socioeconomic variables to establish a spectrum of neighborhood health care disparity. The purpose of this study was to determine the influence of neighborhood socioeconomic disadvantages, quantified by ADI, on 2-year patient reported outcome scores following RCR in the non-Medicaid population. METHODS: A retrospective review of patients who underwent RCR from 2015 to 2020 was performed. All procedures were performed by a group of 7 surgeons at a large academic center. Patient demographics and comorbidities were collected from charts. Rotator cuff tear size was assessed from arthroscopic pictures. ADI scores were calculated based on patients' home addresses using the Neighborhood Atlas tool. The primary outcome measure was American Shoulder and Elbow Surgeons (ASES) score with a minimum follow-up of 2 years. A linear regression analysis with covariate control for age and patient comorbidities was performed. RESULTS: There were 287 patients with a mean age of 60.11 years. The linear regression model between ADI and 2-year ASES score was significant (P = .02). When controlling for both age and patient comorbidities, every 0.9-point reduction in ADI resulted in a 1-point increase in the ASES score (P = .03). Patients with an ADI of 8, 9, or 10 had lower mean 2-year ASES scores than those with an ADI of 1 (87.08 vs. 93.19, P = .04), but both groups had similar change from preoperative ASES score (40.17 vs. 32.88, P = .12). The change in ASES score at 2-years in our study surpassed all established minimal clinically important difference values irrespective of ADI. CONCLUSION: Patients with greater levels of disparity in their home neighborhoods have worse final ASES scores at 2 years, but patients significantly improve from their preoperative state regardless of social disadvantages. This is the first study to the authors' knowledge that examines ADI and outcomes following RCR. Providers should be aware that patients with higher ADI scores may have inferior preoperative shoulder function. The results of this study support the utilization of primary RCR in applicable tears regardless of socioeconomic status.

Association of Socioeconomic Status and Physical Therapy Compliance After Arthroscopic Shoulder Labrum Repair.

HYPOTHESIS/BACKGROUND: 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 U.S. Census that measures socioeconomic deprivation in neighborhoods. Our hypothesis is 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. MATERIALS AND METHODS: 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. RESULTS: The cohort included 73 patients, 14 of which did not have return to play times. 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 to not attend a scheduled physical therapy session (p = 0.035. No association between ADI and return to play time was found (p = 0.165). No significant association between insurance type (private vs Medicaid) and missed scheduled physical therapy appointments (p = 0.139) and return to play times were found (p = 0.741). CONCLUSION: 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.

The impact of political partisanship, certificate of need, Medicaid expansion, and area deprivation index on total shoulder arthroplasty prices in the United States.

BACKGROUND: 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. METHODS: 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. RESULTS: 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). CONCLUSION: 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.

Health care policy and arthroscopic rotator cuff repair prices in the United States.

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.