Hospital volume does not mitigate the impact of area socioeconomic deprivation on heart transplantation outcomes.

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

Survival Outcomes of Total Laryngectomy: Evaluating the Intersection of Race and Social Determinants.

OBJECTIVE: Analyze joint effects of race and social determinants on survival outcomes for patients undergoing total laryngectomy for advanced or recurrent laryngeal cancer at a tertiary care institute. METHODS: Retrospective chart review of adult patients undergoing total laryngectomy for laryngeal cancer at a tertiary care center from 2013 to 2020. Extracted data included demographics, pathological staging and features, treatment modalities, and outcomes such as recurrence, fistula formation, and 2- and 5-year disease-free survival (DFS) and overall survival (OS). Area Deprivation Index (ADI) was calculated for each patient. RESULTS: Among 185 patients identified, 113 were Black (61.1%) and 69 were White (37.3%). No significant differences were observed between racial groups regarding age, gender, ADI, or cancer stage. There was no significant difference in 2-year DFS/OS between groups. ADI was comparable between racial groups, with the majority in the highest deprivation quintile (63.8% of Whites vs. 62.5% of Blacks). No significant differences were observed in gender, race, cancer stage, positive margins, extracapsular extension, or smoking status among ADI quintiles. We observed a significant difference in 2-year DFS stratified by ADI (p = 0.025). Stratifying by ADI and race revealed improved survival of White patients in lower quintiles but higher survival of Black patients in the highest disparity quintile (p = 0.013). CONCLUSION: Overall, survival outcomes by race were comparable among laryngectomy patients, but there was a significant difference in 2-year DFS when stratified by ADI. Further research into survival outcomes related to social determinants is needed to better delineate their effects on head and neck cancer outcomes. LEVEL OF EVIDENCE: 3 Laryngoscope, 2024.

Association Between Neighborhood Deprivation and Number of Ophthalmology Providers.

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

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.

Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data.

BACKGROUND: Racial disparities in COVID-19 incidence and outcomes have been widely reported. Non-Hispanic Black patients endured worse outcomes disproportionately compared with non-Hispanic White patients, but the epidemiological basis for these observations was complex and multifaceted. OBJECTIVE: This study aimed to elucidate the potential reasons behind the worse outcomes of COVID-19 experienced by non-Hispanic Black patients compared with non-Hispanic White patients and how these variables interact using an explainable machine learning approach. METHODS: In this retrospective cohort study, we examined 28,943 laboratory-confirmed COVID-19 cases from the OneFlorida Research Consortium's data trust of health care recipients in Florida through April 28, 2021. We assessed the prevalence of pre-existing comorbid conditions, geo-socioeconomic factors, and health outcomes in the structured electronic health records of COVID-19 cases. The primary outcome was a composite of hospitalization, intensive care unit admission, and mortality at index admission. We developed and validated a machine learning model using Extreme Gradient Boosting to evaluate predictors of worse outcomes of COVID-19 and rank them by importance. RESULTS: Compared to non-Hispanic White patients, non-Hispanic Blacks patients were younger, more likely to be uninsured, had a higher prevalence of emergency department and inpatient visits, and were in regions with higher area deprivation index rankings and pollutant concentrations. Non-Hispanic Black patients had the highest burden of comorbidities and rates of the primary outcome. Age was a key predictor in all models, ranking highest in non-Hispanic White patients. However, for non-Hispanic Black patients, congestive heart failure was a primary predictor. Other variables, such as food environment measures and air pollution indicators, also ranked high. By consolidating comorbidities into the Elixhauser Comorbidity Index, this became the top predictor, providing a comprehensive risk measure. CONCLUSIONS: The study reveals that individual and geo-socioeconomic factors significantly influence the outcomes of COVID-19. It also highlights varying risk profiles among different racial groups. While these findings suggest potential disparities, further causal inference and statistical testing are needed to fully substantiate these observations. Recognizing these relationships is vital for creating effective, tailored interventions that reduce disparities and enhance health outcomes across all racial and socioeconomic groups.

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.

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.

Investigating the association between blue light cystoscopy utilization and social determinants of health.

INTRODUCTION: Blue light cystoscopy (BLC) improves bladder cancer (BCa) detection. No studies have evaluated socioeconomic inequity in the utilization of BLC. METHODS: An institutional bladder tumor (TURBT) database (2016-2023) was retrospectively reviewed and BLC and white light cystoscopy (WLC) recipients were compared. Demographic and insurance data were collected. Socioeconomic Status (SES) was determined using a validated national and Rhode Island Area Deprivation Index (ADI). RESULTS: 2122 Rhode Island patients underwent TURBT and 32.23% had BLC. BLC recipients were younger (mean age 71.5 vs 73.8 years, p < 0.001), more likely married (69.6% vs 57.2%, p < 0.001), more likely English speakers (93.3% vs 91.9%, p = 0.015), and more likely to have private insurance (34.2% vs 27%, p = 0.001). BLC recipients had less socioeconomic disadvantage (p < 0.001): lower mean National (36.2 vs 38.7) and State (4.8 vs 5.2) ADI. CONCLUSION: SES is associated with BLC utilization, which may negatively influence BCa outcomes.

Area deprivation index, a marker of socioeconomic disadvantage, may predict severity of COVID-19 in patients and which families may experience worse symptoms of PTSD, anxiety, and depression post-ICU.

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

Socioeconomic disadvantage and its impact on patient satisfaction at a multi-site radiation oncology center.

Purpose: Despite the importance of patient satisfaction (PS) on healthcare outcomes, the factors that influence PS in radiation oncology remain unexplored. This study assesses the influence of socioeconomic status (SES) on PS in radiation oncology, using the Area Deprivation Index (ADI) as a measure of SES. Methods: This single-institution cross-sectional study used the National Research Council (NRC) PS survey at four radiation oncology sites from 2021 to 2023. SES was measured using ADI data from the Neighborhood Atlas. Univariate (UVA) and multivariable (MVA) logistic regression analyses were conducted on recommendation scores (0-10 scale, with 9 or higher indicating a likelihood to recommend). Results: In our analysis of 7,501 survey responses, most patients were female (55.3 %), had curative treatment intent (81.5 %), and were diagnosed with breast cancer (30.4 %), with most being follow-up visits (69.0 %). Average scores for state and national ADI were 3.94 and 50.75, respectively. UVA identified factors such as curative intent (OR 1.68, p < 0.001), follow-up visits (OR 1.69, p < 0.001), and breast cancer diagnosis (OR 1.42, p = 0.018) as enhancing the likelihood of recommending the facility or provider. Those with a national ADI above the mean showed lower propensity to recommend the facility (OR 0.81, p = 0.050) or provider (OR 0.71, p = 0.002). MVA confirmed the significance of national ADI on provider recommendations (OR 0.730, p = 0.005) but not facility recommendations (OR 0.832, p = 0.089). Conclusion: Patients facing higher SES disadvantages are less inclined to recommend their healthcare provider. These results highlight the role of SES in PS assessments and advocate for further investigation into how SES impacts PS and patient-provider relationships.

Relationship Between Neighborhood-Level Socioeconomic Status and Functional Outcomes After Hip Arthroscopy.

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

Socioeconomic Indices Are Associated With Increased Resource Utilizations, but Not 90-Day Complications Following Total Hip and Knee Arthroplasty.

BACKGROUND: Socioeconomic disadvantage has been associated with negative outcomes following total hip arthroplasty (THA) and total knee arthroplasty (TKA). The area deprivation index (ADI) and distressed communities index (DCI) are composite rankings that score socioeconomic status (SES) using patients' home addresses. The purpose of this study was to examine the association of ADI and DCI with outcomes following THA and TKA while controlling for potential confounding covariates. METHODS: A series of 4,146 consecutive patients undergoing primary THA and TKA between January 2018 and May 2023 were queried from our institutional total joint registry. The 90-day medical and surgical complications and resource utilization were collected. The ADI and DCI scores were obtained for each patient, and the association between these scores and postoperative outcomes was analyzed. RESULTS: The ADI and DCI were both associated with patient age, sex, race, comorbidity burden, and smoking status. After controlling for these variables, higher ADI and DCI scores were associated with increased length of stay (P = 0.003 and P = 0.008, respectively), but were not associated with the occurrence of any 90-day complication, reoperation, or revision. CONCLUSIONS: The SES, as quantified by ADI and DCI, was associated with multiple known risk factors for complications following THA and TKA, but was not independently associated with complications, reoperations, or revision surgeries at 90 days postoperatively. While convenient metrics for the quantification of SES, in some populations, ADI and DCI may not be independently associated with detrimental outcomes following THA and TKA.

Impacts of neighborhood deprivation on septic and aseptic revision total knee arthroplasty outcomes: A comprehensive analysis using the area deprivation index.

BACKGROUND: Community deprivation has been linked to poor health outcomes following primary total knee arthroplasty (pTKA), but few studies have explored revision TKA (rTKA). The present study analyzed implications of neighborhood deprivation on rTKA outcomes by characterizing relationships between Area Deprivation Index (ADI) and (1) non-home discharge disposition (DD), (2) hospital length of stay (LOS), (3) 90-day emergency department (ED) visits, (4) 90-day hospital readmissions, and (5) the effect of race on these healthcare outcomes. METHODS: A total of 1,434 patients who underwent rTKA between January 2016 and June 2022 were analyzed. Associations between the ADI and postoperative healthcare resource utilization outcomes were evaluated using multivariate logistic regression. Mediation effect was estimated using a nonparametric bootstrap resampling method. RESULTS: Greater ADI was associated with non-home DD (p < 0.001), LOS ≥ 3 days (p < 0.001), 90-day ED visits (p = 0.015), and 90-day hospital readmission (p = 0.002). Although there was no significant difference in ADI between septic and aseptic patients, septic patients undergoing rTKA were more likely to experience non-home discharge (p < 0.001), prolonged LOS (p < 0.001), and 90-day hospital readmission (p = 0.001). The effect of race on non-home DD was found to be mediated via ADI (p = 0.038). Similarly, results showed the effect of race on prolonged LOS was mediated via ADI (p = 0.01). CONCLUSION: A higher ADI was associated with non-home discharge, prolonged LOS, 90-day ED visits, and 90-day hospital readmissions. The impacts of patient race on both non-home discharge and prolonged LOS were mediated by ADI. This index allows clinicians to better understand and address disparities in rTKA outcomes.

Neighborhood Socioeconomic Disadvantage is Associated With Increased Health Care Utilization After Septic and Aseptic Revision Total Hip Arthroplasty.

BACKGROUND: A greater area deprivation index (ADI), a tool that gauges socioeconomic disadvantage at the neighborhood level, is associated with worse health care outcomes following primary total hip arthroplasty. However, its association with revision total hip arthroplasty (rTHA) is unknown. This study aimed to determine the association between ADI and rates of postoperative health care resource utilization following rTHA. METHODS: A total of 996 patients who underwent rTHA between 2016 and 2022 were enrolled in a prospective study. The primary outcomes assessed were nonhome discharge disposition (DD), length of stay (LOS) ≥ three days, 90-day emergency department (ED) visits, and 90-day hospital readmissions. The ADI was calculated using the patient's home address at the time of surgery, with greater ADI indicating greater socioeconomic disadvantage. We evaluated the mediation effect of patient race on ADI and postoperative health care utilization using a multivariable logistic regression model. RESULTS: A higher median ADI was revealed for patients who experienced nonhome discharge (P = 0.001), extended LOS (P < 0.001), and ED readmission within 90 days of surgery (P = 0.045). When comparing septic versus aseptic rTHA patients, there were significant differences in health care resource utilization but no difference in ADI between the two groups. For aseptic rTHA, ADI significantly mediated the effect of race on both nonhome DD and LOS ≥ 3 (41 and 46% mediation, respectively). In septic rTHA, ADI mediated 31.1% of the effect of race on nonhome DD, but showed minimal mediation effect on LOS. The mediation effect of ADI on ED admission and hospital readmission was minimal for both groups. CONCLUSIONS: Higher ADI scores are associated with increased health care utilization after rTHA, including longer hospital stays and more nonhome discharges. The ADI significantly mediates the effect of race on these outcomes, particularly in aseptic rTHA cases, suggesting that neighborhood socioeconomic factors play a crucial role in previously observed racial disparities.

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.

Social Determinants of Health Impact Complications Following Free-Flap Reconstruction for Head and Neck Cancer.

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

Social determinants of health and outcome disparities in spine tumor surgery. Part 2: Neighborhood disadvantage and long-term outcomes.

OBJECTIVE: Neighborhood-level resource disadvantage has been previously shown to predict extent of resection, oncological follow-up, adjuvant treatment, and clinical trial participation for malignancies, including glioblastoma. The authors aimed to characterize the association between neighborhood disadvantage and long-term outcomes after spine tumor surgery. METHODS: The authors analyzed all patients who underwent surgery for primary or secondary (all metastatic pathologies) spine tumors at a single spinal oncology specialty center in the United States from 2015 to 2022. The Area Deprivation Index (ADI), a validated metric compositing 17 social determinants of health variables that ranges continuously from 0% (higher advantage) to 100% (higher disadvantage), was used to quantify neighborhood disadvantage. Patient addresses were matched to ADI on the basis of the census block of residence. Subsequently, the study population was dichotomized into advantaged (ADI 0%-33%) and disadvantaged (ADI 34%-100%) cohorts. The primary endpoint was functional status, as defined by Eastern Cooperative Oncology Group (ECOG) Performance Status Scale grade, with secondary endpoints including inpatient outcomes, mortality, readmissions, reoperations, and clinical research participation. Multivariable logistic, gamma log-link, and Cox regression adjusted for 14 confounders, including patient and oncological characteristics, general and tumor-related presenting severity, and treatment. RESULTS: In total, 237 patients underwent spine tumor surgery from 2015 to 2022, with an average age of 53.9 years, and 57.0% had primary tumors whereas 43.0% had secondary tumors; 55.3% (n = 131) were classified by ADI into the disadvantaged cohort. This cohort had higher rates of ambulation deficits on presentation (39.1% vs 23.5%, p = 0.015) and nonelective surgery (35.1% vs 23.6%, p = 0.030). Postoperatively, disadvantaged patients exhibited higher odds of residual tumor (OR 2.55, p = 0.026), especially for secondary tumors (OR 4.92, p = 0.045). Patients from disadvantaged neighborhoods additionally exhibited significantly higher odds of poor functional status at follow-up (OR 3.94, p = 0.002). Postoperative survival was 74.7% (mean follow-up 17.6 months), with the disadvantaged cohort experiencing significantly shorter survival (HR 1.92, p = 0.049). Moreover, this population had higher odds of readmission (OR 1.92, p = 0.046) and, for primary tumors, reoperation (OR 9.26, p = 0.005). Elective participation in prospective clinical research was lower among the disadvantaged cohort (OR 0.45, p = 0.016). CONCLUSIONS: Neighborhood disadvantage predicts higher rates of residual tumor, readmission, and reoperation, as well as poorer functional status, shorter postoperative survival, and decreased elective research participation. The ADI may be used to risk stratify spine oncology patients and guide targeted interventions to ameliorate neurosurgical disparities and to reduce barriers to research participation.

Social determinants of health and outcome disparities in spine tumor surgery. Part 1: An analysis of 6.6 million nationwide admissions.

OBJECTIVE: Earlier research has demonstrated that social determinants of health (SDoH) impact neurosurgical access and outcomes, but these trends are less characterized for spine tumors relative to intracranial tumors. The authors aimed to elucidate the association between SDoH and outcomes for a nationwide cohort of spine tumor surgery admissions. METHODS: The authors identified all admissions with a spine tumor diagnosis in the National Inpatient Sample (NIS) from 2002 to 2019. Four SDoH were analyzed: race and ethnicity, insurance, household income, and safety-net hospital (SNH) treatment. Hospitals in the top quartile of safety-net burden (in terms of percentage of patients receiving Medicaid or uninsured) were categorized as SNHs. Multivariable regression queried the association between 22 variables and 5 perioperative outcomes: mortality, discharge disposition, complications, length of stay (LOS), and hospitalization costs. Interaction term analysis with hospitalization year was used to assess longitudinal changes in outcome disparities. Finally, the authors constructed random forest machine learning models to assess the impact of SDoH variables on prognostic accuracy and to quantify the relative importance of predictors for disposition. RESULTS: Of 6,593,392 total admissions with spine tumors, 219,380 (3.3%) underwent surgery. Non-White race (OR 0.80-0.91, p < 0.001) and nonprivate insurance (OR 0.76-0.83, p < 0.001) were associated with lower odds of receiving surgery. Among surgical admissions, presenting severity, including of myelopathy and plegia, was elevated among non-White, nonprivate insurance, and low-income admissions (all p < 0.001). Black race (OR 0.70, p < 0.001), Medicare (OR 0.70, p < 0.001), Medicaid (OR 0.90, p < 0.001), and lower income (OR 0.88-0.93, all p < 0.001) were associated with decreased odds of favorable discharge disposition. Increased LOS and costs were observed among non-White (+6%-10% in LOS and +5%-9% in costs, both p < 0.001) and Medicaid (+16% in LOS and +6% in costs, both p < 0.001) admissions. SNH treatment was also associated with higher mortality (OR 1.49, p < 0.001) and complication (OR 1.20, p < 0.001) rates. From 2002 to 2019, disposition improved annually for Medicaid patients (OR 1.03 per year, p = 0.022) but worsened for Black patients (OR 0.98 per year, p = 0.046). Random forest models identified household income as the most important predictor of discharge disposition. CONCLUSIONS: For spine tumor admissions, SDoH predicted surgical intervention, presenting severity, and perioperative outcomes. Over 2 decades, disparities improved for Medicaid patients but worsened for Black patients. Finally, SDoH significantly improve prognostic accuracy for outcomes after spine tumor surgery. Further study toward ameliorating patient disparities for this population is warranted.

Exploring health disparities in diagnosing multiple myeloma.

BACKGROUND: Multiple myeloma (MM) is a plasma cell neoplasm, which accounts for 1-2% of cancers and approximately 17% of hematological malignancies in the United States each year. Fifty percent of patients with symptomatic MM have three or more primary care visits before being referred to a specialist, which is greater than any other cancer. A delay in the diagnosis of multiple myeloma has been shown to negatively impact the clinical course of the disease; patients with longer diagnostic intervals have been shown to experience shorter disease-free survival and higher rates of treatment-related complications. RESEARCH DESIGN AND METHODS: We performed a retrospective analysis of patients diagnosed with MM in our institution, to determine the time from the first detectable lab abnormality to the diagnosis of MM. RESULTS: We included 92 patients in this study. Fifty-two percent of patients had isolated anemia at the time of diagnosis. Twenty-nine percent of patients had a delay in diagnosis of ≥1 year, while 18% had a delay of ≥3 years. Nine patients in our cohort had anemia and an elevated serum total protein (31%). This group had the longest time to diagnosis with a median of 38 months. CONCLUSIONS: Our results did not show any difference in time to diagnosis by race, ethnicity, gender, or socioeconomic status.

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.