Distressed Communities Index Research Articles

Association of DCI with number of preoperative comorbidities and 30-day outcomes following inguinal hernia repair: an analysis of the ACHQC database.

The Distressed Communities Index (DCI) is a stratification tool that captures socioeconomic disparities based on zip code. To date, no prior study has investigated the association of DCI score and inguinal hernia repair outcomes. This study aims to evaluate the association between DCI score and 30-day outcomes following inguinal hernia repair using the Abdominal Core Health Quality Collaborative (ACHQC) database. We hypothesize that patients with higher DCI scores will have a higher number of comorbidities and 30-day postoperative events. All patients who underwent inguinal hernia repair from 2015 to 2023 with an available DCI score and 30-day follow-up data available were included. Patients were stratified into DCI quintiles based on zip code. Primary outcomes of interest were 30-day hernia-specific postoperative outcomes. Pearson's chi-squared and Kruskal-Wallis tests were used to compare DCI scores with comorbid conditions and perioperative outcomes. 30,927 patients were included for analysis; 12,206 patients were classified as prosperous (40%), 7190 patients as comfortable (23%), 4884 patients as mid-tier (16%), 3485 patients as at-risk (11%), and 3162 as distressed (10%). Distressed patients were more likely to have ASA 3 or higher and comorbidities including hypertension, diabetes, ESRD, and COPD (p < 0.001). Patients with higher DCI scores were significantly more likely to undergo an emergency operation and have a longer OR time (p < 0.001). Distressed patients were also more likely to experience a major wound complication requiring readmission (p = 0.05) and reoperation (p < 0.001). DCI scores are strongly linked to surgical risk and outcomes following inguinal hernia repair. Special consideration should be given to DCI scores when optimizing patients prior to inguinal hernia repair.

Abstract 4136932: Impact of Different Socioeconomic Metrics on Heart Failure-Related Admission and Short-Term Outcomes in Maryland

Introduction: Annually, over 500,000 Americans are hospitalized due to heart failure (HF), marking it as a major contributor to morbidity and mortality. It also poses a significant financial burden and leads to considerable losses in productivity. Objective: This study investigates the predictive accuracy of different socioeconomic metrics on the risk and outcomes of HF in Maryland. Methodology: A retrospective analysis of the Maryland State Inpatient Database (2016-2020) was conducted to assess the predictive accuracy of race/ethnicity, insurance status, household median income, and neighborhood poverty level (measured by the Distressed Communities Index) on the risk of heart failure-related hospital admissions and outcomes. Multivariate logistic regression models were also used to adjust for confounders. Result: During the study period, a total of 389,220 cases of HF were reported in the Maryland SID. The majority of these patients were white (56.8%) and female (51.1%), with a median age of 73 years (interquartile range [IQR] 62-82 years). The in-hospital mortality rate was 5.1%, while rates of atrial fibrillation, cardiac arrest and prolonged hospital stay were 34.4%, 0.3%, and 48.4%, respectively. Multivariate analysis revealed a substantial area under the ROC curve (AUC) indicating good model performance: 0.88 for predicting HF, 0.64 for atrial fibrillation, 0.64 for cardiac arrest 0.57 for prolonged hospital stays, 0.63 for mortality. Subgroup analyses showed variable predictiveness by race (AUC = 0.4378), payment method (AUC = 0.5754), income quartile (AUC = 0.5202), and deprivation composite score (AUC = 0.4751). Patients with private insurance had the highest risk of stress cardiomyopathy (odds ratio [OR] = 1.98; 95% confidence interval [CI] 1.70-2.29). Socioeconomic metrics, including neighborhood distress, showed varying predictive accuracy for the HF-related admissions and selected short-term outcomes, with the highest predictive accuracy for neighborhood distress on the risk of HF (AUC = 0.50, std: 0.006), atrial fibrillation (AUC = 0.48, std: 0.0007), cardiac arrest (AUC = 0.51, std: 0.007), and prolonged hospital stays (AUC = 0.53, std: 0.0005) and mortality (AUC = 0.50, std: 0.0015). Conclusion: Neighborhood poverty level demonstrates significant predictive power for assessing the risk of HF-related hospital admissions and the short-term outcomes among Maryland residents, exceeding factors like insurance and race/ethnicity.

Lower Socioeconomic Status Predicts Greater Obstacles to Care: Using Outpatient Cholecystectomy as a Model Cohort.

Patients with low socioeconomic status (SES) are disadvantaged in terms of access to health care. A novel metric for SES is the Distressed Communities Index (DCI). This study evaluates the effect of DCI on hospital choice and distance traveled for surgery. A Florida database was queried for patients with symptomatic cholelithiasis or chronic cholecystitis who underwent an outpatient cholecystectomy between 2016 and 2019. Patients' DCI was compared with hospital ratings, comorbidities, Charlson Comorbidity Index, and distance traveled for surgery. Stepwise logistic regression was used to determine which factors most influenced distance traveled for surgery. There were 54,649 cases-81 open, 52,488 laparoscopic, and 2,080 robotic. There was no difference between surgical approach and patient's DCI group (p = 0.12). Rural patients traveled the farthest for surgery (avg 21.29 miles); urban patients traveled the least (avg 5.84 miles). Patients from distressed areas more often had surgery at one- or two-star hospitals than prosperous patients (61% vs 36.3%). Regression indicated distressed or at-risk areas predicted further travel for rural/small-town patients, while higher hospital ratings predicted further travel for suburban/urban patients. Compared to prosperous areas, patients from distressed areas have surgery at lower-rated hospitals, travel further if they live in rural/small-town areas, but travel less if they live in suburban areas. We postulate that farther travel in rural areas may be explained by a lack of health care resources in poor, rural areas, while traveling less in suburban areas may be explained by personal lack of resources for patients with low SES.

A sustainable and expedited ‘One‐Stop’ prostate cancer diagnostic pathway to reduce environmental impact and enhance accessibility

AbstractObjectiveTo assess the carbon footprint, accessibility, and diagnostic performance of an expedited ‘One‐Stop’ prostate cancer (PCa) diagnostic pathway.Materials and methodsA total of 1083 consecutive patients undergoing magnetic resonance imaging (MRI) followed by transrectal ultrasound fusion‐guided prostate biopsy (PBx) were identified from a prospective database. The patients were divided according to the diagnostic pathway: One‐Stop, with MRI and same‐day PBx (3 hours apart), or Standard, with MRI followed by a second visit for PBx. Socioeconomic status was evaluated by the Distressed Communities Index (DCI) and the carbon footprint by the United States (U.S.) Environmental Protection Agency Greenhouse Gases Equivalencies Calculator.ResultsOverall, 260 patients underwent the One‐Stop and 823 the Standard pathway. The One‐Stop patients lived farther from the hospital (163 vs. 23 km; p &lt; 0.001), had lower socioeconomic status with DCI scores of 49 versus 30 (p &lt; 0.001), and were more likely to be Latinos (21% vs. 13%, p &lt; 0.001) compared to the Standard patients, respectively. The One‐Stop saved 69 575 km in round trips, over 16 tons of travel‐related CO2 emissions, and $8214 U.S. dollars. For patients with Prostate Imaging Reporting &amp; Data System (PIRADS) 3–5, the clinically significant PCa detection (53% vs. 50%, p = 0.55) was similar for the One‐Stop and Standard pathways, respectively.ConclusionsThe One‐Stop PCa diagnostic pathway reduces carbon footprint, distance travelled, and patient‐level cost while maintaining clinical outcomes comparable to the Standard pathway. It facilitates access to tertiary‐level care for minorities and underserved populations.

Association between community distress and return to work after burn injury

IntroductionCommunity-level disadvantage is associated with reduced quality of life after burn injury. We evaluated the association between community-level disadvantage and return to work after burn injury. MethodsA multicenter burn injury database was queried from 1998–2021. Participants 18–65 years old with documented employment status and ZIP codes were included. Exposures were community distress (Distressed Communities Index, DCI), patient demographics, and burn characteristics. The primary outcome was odds of employment 6 months after burn injury using stepwise logistic regression models, first with patient-level variables, then DCI. An interaction term was included to evaluate the modification of DCI and post-injury employment by race. Results1960 participants were included, with a median age of 39.2 years (IQR 29.2, 49.3); 81 % were White, 75 % male, and 74 % were working at the time of injury. Participants unemployed 6 months post-injury were more often older, female, non-White, and unemployed at injury, with larger burn sizes and longer hospitalizations. 59 % of participants unemployed at 6 months were employed at the time of injury. Residence in the highest distress ZIP codes was associated with 2.21 (95 % CI 1.39–3.52) odds of 6 month unemployment. Older age, larger burn size, more operations, Black race, and pre-injury unemployment were associated with the greatest odds of unemployment. The interaction between race and DCI was not statistically significant. ConclusionPatients from the highest distress communities have twice the odds of unemployment 6 months after injury. This association did not vary by race. Screening for DCI by ZIP code may be a useful tool to focus vocational rehabilitation resources.

Association between social determinants of health and select neurosurgical procedures in the National Spina Bifida Patient Registry.

Myelomeningocele (MMC) is a lifelong condition requiring complex multidisciplinary management. Using the National Spina Bifida Patient Registry (NSBPR), the authors tested the association between sociodemographic variables and odds of undergoing neurosurgical procedures. The authors extracted sociodemographic, clinical, and neurosurgical procedure data on participants with MMC aged ≥ 1 year who visited an NSBPR clinic between 2009 and 2020. The zip code of the participant's residence at the time of the last spina bifida clinic visit was linked to the Distressed Communities Index (DCI) tier. Multivariate models were built to identify factors associated with undergoing CSF diversion, shunt revision, tethered cord release (TCR), and Chiari decompression. There were 7924 participants with a median visit age of 13 years (IQR 7-20 years); 49.1% were male, 30.2% were non-Hispanic Black or Hispanic, 54.5% had public/supplemental insurance, and 16.9% were from distressed communities. CSF diversion, shunt revision, TCR, and Chiari decompression were performed in 81.8%, 47.7%, 22.9%, and 8.7% of participants, respectively. In multivariate analyses controlling for age, sex, insurance, DCI tier, lesion level, and surgical closure timing, Hispanic individuals were less likely than their non-Hispanic White counterparts to undergo shunt revision (p = 0.013). Non-Hispanic Black and Hispanic individuals were less likely to undergo TCR (p < 0.001 each) or Chiari decompression (p < 0.001 each). Compared with privately insured individuals, publicly insured individuals were more likely to undergo CSF diversion (p = 0.031). Those in distressed communities had increased odds of undergoing CSF diversion (p = 0.004) than those in prosperous communities. Among individuals with MMC participating in the NSBPR, there were differences in receiving neurosurgical procedures by race/ethnicity, insurance type, and DCI tier. Additional prospective studies are necessary to elucidate the reasons for these variations and their impact on long-term outcomes for this patient population in order to created targeted interventions.

Trends in inpatient versus outpatient upper extremity fracture surgery from 2008 to 2021 and their implications for equitable access: a retrospective cohort study.

The aim of this study is to describe trends in inpatient and outpatient upper extremity fracture surgery between 2008 and 2021, along with identifying patient factors (age, sex, race, socioeconomic status) associated with outpatient surgery. Retrospectively, 12,593 adult patients who underwent upper extremity fracture repair from 2008 to 2021 at one of five urban hospitals in the Northeastern USA were identified. Using Distressed Communities Index (DCI), patients were divided into five quintiles based on their level of socioeconomic distress. Multivariable logistic regression was performed on patients from 2008 to 2019 to identify independent factors associated with outpatient management. From 2008 to 2019, outpatient procedures saw an average increase of 31%. The largest increases in the outpatient management were seen in humerus (132%) and forearm fractures (127%). Carpal and hand surgeries had the lowest percent increase of 8.1%. Clavicle and wrist fractures were independently associated with outpatient management. Older age, male sex, higher Elixhauser comorbidity index, DCI scores in the 4th or 5th quintile, and fractures of the scapula, humerus, elbow, and forearm were associated with inpatient management. During the onset of the COVID-19 pandemic, there was a decrease in outpatient procedures. There is a shift toward outpatient surgical management of upper extremity fractures from 2008 to 2021. Application of our findings can serve as an institutional guide to allocate patients to appropriate surgical settings. Moreover, physicians and institutions should be aware of the potential socioeconomic disparities and implement plans to allow for equal access to care.

Evaluating the Predictive Accuracy of Socioeconomic Metrics on Heart Failure Risk and Outcomes in Maryland.

Introduction Annually, a significant number of Americans are hospitalized due to heart failure (HF), marking it as an important contributor to morbidity and mortality. It also poses a substantial financial burden and leads to considerable losses in productivity. Socioeconomic disparities may intensify the risk of hospital admissions following HF and worsen patient outcomes. Objective This study investigates the predictive accuracy of different socioeconomic metrics on the risk and outcomes of HF in Maryland. Methodology To evaluate the predictive accuracy of various socioeconomic metrics on the risk of HF, we utilized data from the Maryland State Inpatient Database. Our retrospective analysis covered hospital admissions for HF from 2016 to 2020, correlating these with poverty indicators derived from U.S. Census data at the zip code level with socioeconomic metrics like race/ethnicity, insurance, household median income, and neighborhood distress (Distressed Communities Index (DCI)). Multivariate logistic regression models adjusted for confounders and isolated the impact of socioeconomic factors. Result During the study period, a total of 389,220 cases of HF were reported in the Maryland State Inpatient Database (SID). The majority of these patients were White individuals (56.8%) and female (51.1%), with a median age of 73 years (interquartile range (IQR) 62-82 years). The in-hospital mortality rate was 5.1%, while rates of atrial fibrillation, cardiac arrest, and prolonged hospital stay were 34.4%, 0.3%, and 48.4%, respectively. The studied socioeconomic metrics showed varying predictive power for the risk of HF-related admissions and selected outcomes, with the highest predictive accuracy for neighborhood distress on the risk of HF (AUC = 0.53, 95% CI 0.530-0.532), atrial fibrillation (AUC = 0.479, 95% CI 0.477-0.480), cardiac arrest (AUC = 0.511, 95% CI 0.498-0.525), prolonged hospital stays (AUC = 0.531, 95% CI 0.530-0.532), and mortality (AUC = 0.499, 95% CI 0.496-0.502). Conclusions The Distressed Communities Index demonstrates significant predictive power for assessing the risk of hospital admissions following HF and outcomes among individuals with HF, exceeding factors like insurance, race/ethnicity, and household median income.

Effect of COVID-19 changes on outcomes and socioeconomic disparities following metabolic and bariatric surgery

BackgroundWe previously showed worse outcomes among lower socioeconomic status (SES) groups following metabolic/bariatric surgery (MBS). In light of healthcare changes in response to COVID-19, this study aims to evaluate post-pandemic MBS outcomes and determine if prior socioeconomic disparities persisted in the post-COVID era.MethodsA retrospective chart review of patients undergoing primary Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG) between 2015 and 2022 was performed. Patients were stratified into pre- and post-COVID groups. Post-COVID cohort was further stratified into high (HT) and low (LT) tier status based on Distressed Communities Index, a geocoded composite measure of SES. Preoperative characteristics and postoperative outcomes were compared between pre- and post-COVID cohorts, as well as between post-COVID HT and LT groups.ResultsOf 709 patients, 82.9% were pre-COVID and 17.1% were post-COVID. Post-COVID cohort had greater rate of public insurance (46% vs. 37%, p < 0.001), longer wait time to surgery (mean 358 ± 609.8 days vs 241.9 ± 368.5 days, p = 0.045), and were more likely to undergo RYGB (69% vs. 56%, p = 0.010). Post-COVID patients also had lower risk of any complications on multivariable analysis (OR 0.599, 95% CI 0.372–0.963), had higher follow-up rates at post-discharge (95.8% vs 79.7%, p < 0.005), 6-month (93% vs. 82%, p < 0.001) and 12-month visits (75% vs. 63%, p = 0.005), and lost more weight at 12 months (67% excess weight loss (%EWL) vs. 58%EWL, p = 0.002). Among post-COVID HT and LT cohorts, previously seen disparities in complications were no longer seen. Finally, there were no differences in weight or follow-up rates between post-COVID HT and LT.ConclusionsPost-COVID changes to MBS care have resulted in improved short-term outcomes and reduced disparities for patients of lower SES. Further studies are needed to identify these positive factors to perpetuate practice patterns that optimize care for patients of all socioeconomic status.

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

BackgroundSocioeconomic 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. MethodsA 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. ResultsThe 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. ConclusionsThe 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.

The effects of socioeconomic status on complex ventral hernia repair operative decision-making and outcomes

BackgroundPatients from low socioeconomic backgrounds have greater rates of morbidity and mortality across disease processes. The Distressed Communities Index identified several socioeconomic components that were used to create a Distressed Communities Index score for every ZIP code, then broken into quintiles from prosperous to distressed. We aimed to explore whether socioeconomic distress as defined by the Distressed Communities Index affects the outcome of complex ventral hernia repair in the elderly population. MethodsRetrospective analysis was performed using the Abdominal Core Health Collaborative data. Included were adults aged 65+ years undergoing elective complex ventral hernia repair from 2013 to 2021. Primary outcomes were postoperative outcomes and composite hernia recurrence by Distressed Communities Index quintile. The Cox proportional hazards model was used for composite recurrence, and logistic regression was used for postoperative outcomes. ResultsA total of 4,172 patients were included. Patients in distressed communities were more likely to identify as female or racial minority and had greater body mass index and American Society of Anesthesiologists class. Lower Distressed Communities Index quintile was associated with larger hernia (P = .012), open repair (P = .019), and 30-day complication (P = .05). There was no association between time to recurrence and Distressed Communities Index quintile (P = .24). After adjusted analysis, there was no significant difference for readmission, reoperation, recurrence, and complications. ConclusionPatients from more distressed communities presented in worse clinical status with larger hernias. This likely contributed to greater rates of open repair and complications. However, when adjusted for these variables, outcomes were similar across Distressed Communities Index quintile. This supports the efficacy of complex hernia repair across socioeconomic classes.

Hospitals with decreasing cost-to-charge ratios bill greater surgical charges for similar outcomes

BackgroundThe cost-to-charge ratio reflects the markup of hospital services. A lower cost-to-charge ratio indicates lower costs and/or greater charges. This study examines factors associated with cost-to-charge ratio trends to determine whether decreasing cost-to-charge ratio is associated with worse surgical outcomes. MethodsThe Florida Agency for Healthcare Administration Inpatient database (2018–2020) was queried for common surgical procedures and linked to the Distressed Communities Index, RAND Corporation Hospital data, Center for Medicare Services Cost Reports, and American Hospital Association data. Only hospitals with monotonically increasing or decreasing cost-to-charge ratio were included in the study. Univariable analysis compared these hospitals. Using patient-level data, interpretable machine learning predicted cost-to-charge ratio trend while identifying influential factors. ResultsThe cohort had 67 hospitals (27 increasing cost-to-charge ratio and 40 decreasing cost-to-charge ratio) with 35,661 surgeries. Decreasing cost-to-charge ratio hospitals were more often proprietarily owned (78% vs 33%, P = .01) and had greater mean total charges ($134,349 ± $114,510 vs $77,185 ± $82,027, P < .01) with marginally greater mean estimated costs ($14,863 ± $12,343 vs $14,458 ± $15,440, P < .01). Patients from decreasing cost-to-charge ratio hospitals had greater rates of most comorbidities (P < .05) but no difference in mortality or overall complications. Machine-learning models revealed charges rather than clinical factors as most influential in cost-to-charge ratio trend prediction. ConclusionsDecreasing cost-to-charge ratio hospitals charge vastly more despite minimally greater estimated costs and no difference in outcomes. Although differences in case-mix existed, charges were the predominant differentiators. Patient clinical factors had far less of an impact.

Community-Level Disadvantage of Adults With Firearm- vs Motor Vehicle–Related Injuries

Motor vehicle crash (MVC) and firearm injuries are 2 of the top 3 mechanisms of adult injury-related deaths in the US. To understand the differing associations between community-level disadvantage and firearm vs MVC injuries to inform mechanism-specific prevention strategies and appropriate postdischarge resource allocation. This multicenter cross-sectional study analyzed prospectively collected data from the American College of Surgeons (ACS) Firearm Study. Included patients were treated either for firearm injury between March 1, 2021, and February 28, 2022, or for MVC-related injuries between January 1 and December 31, 2021, at 1 of 128 participating ACS trauma centers. Community distress. Odds of presenting with a firearm as compared with MVC injury based on levels of community distress, as measured by the Distressed Communities Index (DCI) and categorized in quintiles. A total of 62 981 patients were included (mean [SD] age, 42.9 [17.7] years; 42 388 male [67.3%]; 17 737 Black [28.2%], 9052 Hispanic [14.4%], 36 425 White [57.8%]) from 104 trauma centers. By type, there were 53 474 patients treated for MVC injuries and 9507 treated for firearm injuries. Patients with firearm injuries were younger (median [IQR] age, 31.0 [24.0-40.0] years vs 41.0 [29.0-58.0] years); more likely to be male (7892 of 9507 [83.0%] vs 34 496 of 53 474 [64.5%]), identified as Black (5486 of 9507 [57.7%] vs 12 251 of 53 474 [22.9%]), and Medicaid insured or uninsured (6819 of 9507 [71.7%] vs 21 310 of 53 474 [39.9%]); and had a higher DCI score (median [IQR] score, 74.0 [53.2-94.8] vs 58.0 [33.0-83.0]) than MVC injured patients. Among admitted patients, the odds of presenting with a firearm injury compared with MVC injury were 1.50 (95% CI, 1.35-1.66) times higher for patients living in the most distressed vs least distressed ZIP codes. After controlling for age, sex, race, ethnicity, and payer type, the DCI components associated with the highest adjusted odds of presenting with a firearm injury were a high housing vacancy rate (OR, 1.11; 95% CI, 1.04-1.19) and high poverty rate (OR, 1.17; 95% CI, 1.10-1.24). Among patients sustaining firearm injuries patients, 4333 (54.3%) received no referrals for postdischarge rehabilitation, home health, or psychosocial services. In this cross-sectional study of adults with firearm- and motor vehicle-related injuries, we found that patients from highly distressed communities had higher odds of presenting to a trauma center with a firearm injury as opposed to an MVC injury. With two-thirds of firearm injury survivors treated at trauma centers being discharged without psychosocial services, community-level measures of disadvantage may be useful for allocating postdischarge care resources to patients with the greatest need.

Assessing the impact of socioeconomic distress on hospital readmissions after cardiac surgery

BackgroundThe impact of socioeconomic distress on readmission rates following cardiac surgery has not been studied. We hypothesized that patients living in distressed communities would have a higher 30-day readmission rate after cardiac surgery compared to those living in less distressed communities. MethodsPatients undergoing isolated coronary artery bypass grafting (CABG) between 2016 and 2023 within a regional collaborative were identified. The Distressed Communities Index (DCI) and Area Deprivation Index (ADI) were used to measure socioeconomic distress. Two logistic regression models were performed to evaluate 30-day readmission rates: one incorporating ADI and the other including DCI. Models were adjusted for the Society of Thoracic Surgeons (STS) Predicted Risk of Mortality (PROM) score, postoperative complications, length of stay (LOS), year of surgery, and discharge disposition. ResultsA total of 16,369 patients were included, of whom 10% were readmitted within 30 days of discharge. Readmitted patients were more likely to be female (32% vs 23.3%) and to develop postoperative complications (47% vs 35%) and less likely to be discharged to home (70.6% vs 83.5%; P < .001 for all). On multivariable analysis, STS PROM score, postoperative complications, prolonged LOS, and discharge to a facility or leaving against medical advice were predictive of higher readmission rates. Socioeconomic distress was not an independent predictor of readmission in the model that used DCI (odds ratio [OR], 0.93; 95% confidence interval [CI], 0.76-1.15) or in the model that used ADI (OR, 1.17; 95% CI, 0.83-1.64). ConclusionsIn patients undergoing CABG, increasing socioeconomic distress does not predict higher 30-day readmission rate. Other factors, such as discharge location, have a greater impact on readmission rate.

Presentation and patterns of reinterventions after revascularization in patients with premature peripheral arterial disease

ObjectivePremature peripheral arterial disease (PAD) (age ≤50 years) has been shown to negatively impact the outcomes of lower extremity revascularization (LER). Patients with premature PAD have an increased risk of major amputation compared with older patients. The primary goal of this study is to compare the frequency of reinterventions after LER in patients with premature PAD to their older counterparts with common age of presentation (ie, 60-80 years). MethodsA retrospective review of consecutive patients undergoing LER for PAD in a single center was performed. Clinical, procedural, and socioeconomic characteristics were compared between patients with premature PAD and the older group. Perioperative and long-term outcomes were captured and compared including mortality, major amputation, reintervention rate and frequency, as well as major adverse limb events. ResultsThere were 1274 patients who underwent LER (4.3% premature, 61.8% age 60-80). Patients with premature PAD were more likely to be females of racial minorities. Notably, the mean Distressed Communities Index score was significantly higher in the premature PAD group compared with the older patients. Patients with premature PAD were significantly more likely to have end-stage renal disease but less likely to have hypertension, hyperlipidemia, and coronary artery disease compared with older patients. There was no significant difference in perioperative complications. After a mean follow-up of 5 years, patients with premature PAD were significantly more likely to undergo more frequent reinterventions compared with older patients. Kaplan-Meier curves showed similar overall survival and major adverse limb event-free survival between the two groups. ConclusionsPatients with premature PAD are likely to undergo more frequent reinterventions after initial LER and have similar 5-year survival curves compared with patients at least 20 years older. Demographic and socioeconomic differences impacting patients with premature PAD, even in this relatively underpowered institutional experience, are striking and warrant further investigation.

Prosperity in progress: a new look at archetypes of successful community development

This study navigates the terrain of community development in metropolitan areas across the United States (US), spotlighting the interplay between stakeholder engagement, development success, and distinct types of community development characteristics. While urban centers in US cities experienced disinvestment and urban flight for more than 5 decades, they now experience renewed interest amidst the complexities of rampant urbanization. Gentrification and displacement are some of the critical consequences of urban re-development, which warrants the exploration of the success metrics that turn disinvested communities into thriving ones. Methodologically, archetype analysis is employed to examine 73 case studies reported by the United States Department of Housing &amp;amp; Urban Development (HUD) as examples of successful development. The case studies span 37 US states and 67 cities. The analysis utilizes the Distressed Communities Index (DCI) as a supporting metric and offers an intermediate level of abstraction between a case-by-case analysis of successful development strategies and a generalized approach that assumes that one strategy fits all. Instead, the analysis identifies four distinct types of successful community development archetypes based on five relevant characteristics that emerged from our analysis: (1) public investments, (2) private investment (3) development plans, (4) stakeholder engagement, and (5) the DCI. The four identified archetypes represent unique Community Development Success pathways with specific development characteristics. Understanding the diversity reflected in these distinct archetypes is crucial for policymakers and stakeholders seeking to address the specific needs and challenges of each development success type. This can inform more targeted policy initiatives for fostering prosperity and vitality in diverse communities across the US and beyond.

The relationship between neighborhood economic deprivation and asthma-associated emergency department visits in Maryland.

Asthma represents a substantial public health challenge in the United States, affecting over 25 million adults. This study investigates the impact of neighborhood economic deprivation on asthma-associated Emergency Department (ED) visits in Maryland, using the Distressed Communities Index (DCI) for analysis. A retrospective analysis of Maryland's Emergency Department Databases from January 2018 to December 2020 was conducted, focusing on asthma-associated ED visits. The study involved 185,317 ED visits, majority of which were females (56.3%) and non-Hispanic whites (65.2%). A significant association was found between increased neighborhood socioeconomic deprivation and asthma-related ED visits. The poorest neighborhoods showed the highest rates of such visits. Compared to prosperous areas, neighborhoods classified from Comfortable to Distressed had progressively higher odds for asthma-related ED visits (Comfortable: OR = 1.14, Distressed OR = 1.65). Other significant asthma predictors included obesity, female gender, tobacco smoking, and older age. There is a substantive association between higher asthma-related ED visits and high neighborhood economic deprivation, underscoring the impact of socioeconomic factors on health outcomes. Addressing healthcare disparities and improving access to care in economically distressed neighborhoods is crucial. Targeted interventions, such as community health clinics and asthma education programs, can help mitigate the impact of neighborhood disadvantage.

Effects of socioeconomic burden on opioid use following total shoulder arthroplasty

Preoperative opioid users experience worse outcomes and higher complication rates compared to opioid-naïve patients following shoulder arthroplasty. This study evaluates the effects of socioeconomic status, as measured by the Distressed Communities Index (DCI), on pre- and postoperative opioid use and its influence on clinical outcomes such as readmission and revision surgery. A retrospective review of patients who underwent primary shoulder arthroplasty (Current Procedural Terminology code 23472) from 2014 to 2022 at a single academic institution was performed. Exclusion criteria included arthroplasty for fracture, active malignancy, and revision arthroplasty. Demographics, Charlson Comorbidity Index, DCI, and clinical outcomes including 90-day readmission and revision surgery were collected. Patients were classified according to the DCI score of their zip code. Using the Prescription Drug Monitoring Program database, patient pre- and postoperative opioid use in morphine milligram equivalents was gathered. Individuals from distressed communities used more opioids within 90 days preoperatively compared to patients from prosperous, comfortable, mid-tier, and at-risk populations, respectively. Patients from distressed communities also used significantly more opioids within 90 days postoperatively compared with prosperous, comfortable, and mid-tier, respectively. Of patients from distressed communities, 35.1% developed prolonged opioid use (filling prescriptions >30 days after surgery), significantly more than all other cohorts. Among all patients, 3.5% were readmitted within 90 days and were more likely to be prolonged opioid users (38.9 vs. 21.3%, P<.001). Similarly, 1.5% of patients underwent revision surgery. Those who underwent revision were significantly more likely to be prolonged opioid users (38.2 vs. 21.7%, P=.002). Shoulder arthroplasty patients from distressed communities use more opioids within 90 days before and after their surgery and are more likely to become prolonged opioid users, placing them at risk for readmission and revision surgery. Identifying patients at an increased risk for excess opioid use is essential to employ appropriate strategies that minimize the detrimental effects of prolonged use following surgery.

The relationship between neighborhood socioeconomic status and short-term outcomes following colon resection

BackgroundThis study investigates the association between neighborhood socioeconomic status, measured by the Distressed Communities Index (DCI), and short-term outcomes following colon resection. MethodsUtilizing the Maryland State Inpatient Sample database (SID 2018–2020), we determined the association between DCI and post-op outcomes following colon resection including length of stay, readmissions, 30-day in-hospital mortality, and non-routine discharges. Multivariate regression analysis was performed to control for potential confounding factors. ResultsOf the 13,839 patients studied, median age was 63, with 54.3 ​% female and 64.5 ​% elective admissions. Laparoscopic surgery was performed in 36.9 ​% cases, with a median hospital stay of 5 days. Patients in distressed communities faced higher risks of emergency admission (OR: 1.31), prolonged hospitalization (OR: 1.29), non-routine discharges (OR: 1.36), and readmission (OR: 1.33). Black patients had longer stays than White patients (OR: 1.3). Despite adjustments, in-hospital mortality did not significantly differ among neighborhoods. ConclusionOur study reveals that patients residing in distressed neighborhoods face a higher risk of prolonged hospitalization, non-routine discharges, and readmission rate after colon resection.

The Impact of the Distressed Communities Index Score on Outcomes Following TEVAR for Type B Aortic Dissection

The Impact of the Distressed Communities Index Score on Outcomes Following TEVAR for Type B Aortic Dissection