Home Zip Code Research Articles

Financial toxicity in patients with newly diagnosed hepatocellular carcinoma.

538 Background: Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related deaths and has been associated with significant patient (pt) financial liability, however no study has yet examined pt-reported measures of financial toxicity (FT) in this population. We sought to assess pt-reported FT in newly diagnosed HCC and to identify pt-, disease-, and treatment-related factors associated with FT. Methods: Pts with HCC were recruited prior to treatment initiation during their initial visit at a multidisciplinary liver cancer clinic at a tertiary care center between January 2023-May 2024. The Comprehensive Score for Financial Toxicity-Functional Assessment of Chronic Illness Therapy (COST-FACIT), a validated survey for assessing financial distress in pts with cancer (range, 0-44; lower scores reflect worse financial wellness), was completed by participants during their initial visit. Sociodemographic (age, sex, race, ethnicity, primary language, insurance status, employment status, marital status, highest education completed, household income, living arrangement, home zip code), clinical (Barcelona Clinic Liver Cancer stage, performance status, age-adjusted Charlson comorbidity index, albumin-bilirubin score, presence and etiology of chronic liver disease, Child-Pugh grade, MELD-Na score), and planned treatment (surgery, liver-directed therapy, systemic therapy, clinical trial enrollment) characteristics were evaluated by questionnaires or medical record review. The EORTC QLQ-HCC18 was used to assess pt-reported quality of life (QOL). Area Deprivation Indices were calculated using pts’ home zip codes. Mean COST-FACIT scores were compared using two-sided t test for binary variables and one-way ANOVA for non-binary variables. Results: Among 47 pts enrolled, 35 (74%) completed the COST-FACIT survey. Younger age (<65 vs ≥65 yrs; mean, 20.3 vs 27.8; p=0.05), non-English primary language (non-English vs English; mean, 16.2 vs 26.7; p=0.04), less completed education (high school or earlier vs college or beyond; mean, 23.3 vs 32.0; p=0.02), and worse self-reported QOL (EORTC QLQ-HCC18 score ≥cohort median vs <cohort median; mean, 21.4 vs 29.2; p=0.02) were significantly associated with worse FT. Although not statistically significant, Hispanic ethnicity (Hispanic vs not Hispanic; mean, 16.1 vs 26.4; p=0.07), lack of employment (not employed vs retired vs employed; mean, 15.5 vs 29.4 vs 24.3; p=0.07), and no plan for liver-directed therapy (no vs yes; mean, 17.9 vs 26.7; p=0.07) trended towards worse pt-reported FT. Conclusions: Among pts with newly diagnosed HCC, significantly higher pt-reported FT is associated with younger age, non-English primary language, less completed education, and worse QOL. Efforts are underway to longitudinally follow our study cohort to assess the course of self-reported FT over 1-year follow-up as well as its associations with treatment response and survival.

Smartphone accelerometers as tools to study the effect of socioeconomic disparities in neurosurgical outcomes: a multi-institutional retrospective analysis.

Smartphones and wearable devices can be effective tools to objectively assess patient mobility and well-being before and after spine surgery. In this retrospective observational study, the authors investigated the relationship between these longitudinal perioperative patient activity data and socioeconomic and demographic correlates, assessing whether smartphone-captured metrics may allow neurosurgeons to distinguish intergroup patterns. A multi-institutional retrospective study of patients who underwent spinal decompression with and without fusion between 2017 and 2021 was conducted. Patients' home zip codes were used to determine each patient's Area Deprivation Index (ADI)-an independently validated composite measure of the socioeconomic health of a specific neighborhood relative to the entire United States. Activity data, including steps-taken-per-day across a 2-year perioperative period, were extracted from patient smartphones and statistically normalized to enable interpatient comparisons. Multivariate regression was performed to identify relationships between ADI and patient mobility, while controlling for confounders including age and obesity. The study included 49 patients. The preoperative activity level of patients living in neighborhoods with an ADI score below the 80th percentile nationally was significantly greater than that of patients living in neighborhoods above the 80th percentile (p = 0.011). A direct positive correlation existed between patients' ADI scores and the number of days with below-average steps-taken-per-day during the preoperative period (adjusted r2 = 0.822, p = 0.049). Postoperatively, patients with ADI scores above the 80th percentile had significantly greater documented activity levels (p = 0.031). The authors' study demonstrates that individuals living in neighborhoods with an ADI score below the 80th percentile had higher preoperative activity than patients in neighborhoods above the 80th percentile; this disparity diminishes after spine surgery. Though these findings are not generalizable, the authors hypothesized that the relatively faster postoperative recovery of patients living in wealthier neighborhoods is likely multifactorial, possibly due to sustained activity in the preoperative and likely symptomatic period of patients in lower-income neighborhoods, as well as enhanced access to postoperative care for patients in higher-income neighborhoods. Overall, the findings from the authors' study demonstrate that smartphone-captured activity may be utilized as a metric to study socioeconomic disparities in surgical outcomes. Future studies must specifically isolate socioeconomic variables as potential causal factors to inform improvements in healthcare delivery after surgery.

Challenges in Geographic Access to Specialized Pediatric Burn Care in the United States.

Geographical access to pediatric burn centers in the US is not well described. Patients may receive care at American Burn Association (ABA)-verified burn centers, unverified burn centers, or non-burn centers. A recent study indicated that most US counties do not have an ABA-verified pediatric burn center within 100 miles. However, access to unverified burn centers that provide care to pediatric burn patients was not considered. We studied access to all pediatric burn centers across different US regions, using American College of Surgeons (ACS) Committee on Trauma-verified pediatric trauma centers as a benchmark. An observational cohort study was conducted using 2022 US Census data. Individuals aged ≤14 years were included. Geographical location was determined by residence ZIP code. Pediatric burn centers were identified from the ABA directory. Pediatric trauma centers were identified by ACS verification status using the ACS Hospitals and Facilities directory. Population access to pediatric burn and trauma centers within 50, 100, and 300 miles of the home ZIP code was assessed. Of US children, 62.1%, 83.5%, and 98.6% live within 50, 100, and 300 miles of a pediatric burn center. Access to ABA-verified pediatric burn centers is lower compared to access to ACS-verified pediatric trauma centers. Overall, the US population has limited access to pediatric burn centers compared to pediatric trauma centers. The services offered and outcomes should be studied to better understand differences in the quality of care provided by verified and unverified centers.

Firearm Injury Risk Prediction Among Children Transported by 9-1-1 Emergency Medical Services: A Machine Learning Analysis.

Among children transported by ambulance across the United States, we used machine learning models to develop a risk prediction tool for firearm injury using basic demographic information and home ZIP code matched to publicly available data sources. We included children and adolescents 0-17 years transported by ambulance to acute care hospitals in 47 states from January 1, 2014 through December 31, 2022. We used 96 predictors, including basic demographic information and neighborhood measures matched to home ZIP code from 5 data sources: EMS records, American Community Survey, Child Opportunity Index, County Health Rankings, and Social Vulnerability Index. We separated children into 0-10 years (preadolescent) and 11-17 years (adolescent) cohorts and used machine learning to develop high-specificity risk prediction models for each age group to minimize false positives. There were 6,191,909 children transported by ambulance, including 21,625 (0.35%) with firearm injuries. Among children 0-10 years (n = 3,149,430 children, 2,840 [0.09%] with firearm injuries), the model had 95.1% specificity, 22.4% sensitivity, area under the curve 0.761, and positive predictive value 0.41% for identifying children with firearm injuries. Among adolescents 11-17 years (n = 3,042,479 children, 18,785 [0.62%] with firearm injuries), the model had 94.8% specificity, 39.0% sensitivity, area under the curve 0.818, and positive predictive value 4.47% for identifying patients with firearm injury. There were 7 high-yield predictors among children and 3 predictors among adolescents, with little overlap. Among pediatric patients transported by ambulance, basic demographic information and neighborhood measures can identify children and adolescents at elevated risk of firearm injuries, which may guide focused injury prevention resources and interventions.

Associations between socioeconomic status and open globe injury.

To examine associations between socioeconomic status (SES), as evaluated by the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry Social Vulnerability Index (SVI) and Distressed Communities Index (DCI), and the characteristics of open globe injury (OGI). Retrospective review of electronic medical records for patients treated for OGI at an academic Level I trauma centre between May 2009 and March 2021. Patient data included age, date of injury, mechanism of injury, visual acuity at presentation, concomitant orbital wall fracture, and ocular trauma score (OTS). The SVI and DCI scores were obtained based on the patient's home zip code. Patients were classified based on individual mechanisms of injury and grouped into non-accidental vs. accidental cases. 899 patients (75.0% male) were included. Average ± SD age (years), SVI, and DCI scores were 44.8 ± 22.7, 0.418 ± 0.207, and 37.9 ± 24.0, respectively. Younger age was associated with higher DCI and lower OTS score (p ≤ 0.002). Non-accidental trauma patients had lower OTS and higher SVI and DCI scores compared to accidental trauma (p < 0.001); firearm-associated ocular injuries (FAOIs) were associated with higher SVI and DCI scores (p < 0.001 and p = 0.040, respectively); domestic violence/assault was associated with worse OTS and higher DCI (p < 001). Falls and sports-related injuries correlated with lower DCI scores (p ≤ 0.031). In our region, among patients with OGIs, lower SES scores were associated with younger age, FAOIs, and non-accidental injuries, including domestic violence/assault. Therefore, lower SES may be considered a risk factor for several distinct mechanisms of OGI.

Pediatric firearm injuries and socioeconomic vulnerability before and during the COVID-19 pandemic

BackgroundPediatric firearm injuries disproportionately affect groups experiencing socioeconomic disadvantage. Firearm injuries increased during the COVID-19 pandemic, but the impact on communities by degree of socioeconomic disadvantage is unknown. We examined the association between socioeconomic vulnerability and change in pediatric firearm injuries before versus during the pandemic. MethodsThis was a secondary analysis of a multicenter retrospective study comparing pediatric injuries pre- (March 17, 2019-December 31, 2020) versus during (March 15, 2020 – December 31, 2020) the COVID-19 pandemic. The parent study included injury-related visits to one of 40 Pediatric Emergency Departments in patients <18 years old. We examined firearm injuries as a proportion of all injuries. Deprivation Index (DI) was assigned using home zip code and divided into quartiles based on the distribution of DI in our total population, with deprivation increasing from quartile 1 (Q1, least deprivation) to quartile 4 (Q4, most deprivation). Kruskal-Wallis and Chi-square tests were used to compare variables of interest. Interrupted time series analysis was used to estimate pandemic effects on firearm injuries by DI quartile. ResultsThere were 1231 visits for firearm injuries. Mean DI was higher among firearm-injured than non-firearm-injured patients (0.43 vs. 0.35, p < 0.0001). Firearm injuries increased in proportion to all injuries pre- vs during pandemic (0.16 % vs 0.27 %, p < 0.0001). On interrupted time series analysis, the proportion of firearm injuries increased for Q2, Q3, and Q4. On subgroup analysis by intent, assault injuries as a proportion of all injuries increased from pre- to during COVID-19 for Q2 (3.32 % vs 6.94 %, ARD 3.62 %, 95 % CI 1.03, 6.20), Q3 (2.71 % vs 7.01 %, ARD 4.30, 95 % CI 1.99, 6.61), and Q4 (5.97 % vs 17.40 %; ARD 11.42, 95 % CI 0.19, 0.33). Unintentional injuries and injuries in youth 10–17 years old increased for Q2, Q3, and Q4. ConclusionsThe increase in pediatric firearm injuries during the COVID-19 pandemic impacted youth in all but the lowest deprivation quartile. Efforts at curbing gun violence should identify and amplify protective effects in under-resourced communities.

Social Vulnerability is Associated with Worse Urinary Incontinence and Quality of Life in Women

ObjectivesTo investigate whether social vulnerability is associated with the direct and indirect burdens of urinary incontinence. Urinary incontinence affects over half of all adult women living in the United States and can affect quality of life. While individual-level social determinants of health have been associated with urologic disease, the effect of community-level factors is poorly characterized. Community-level social vulnerability as measured using the social vulnerability index from census-level data has been associated with worse health outcomes. MethodsWomen with urinary incontinence were recruited from our urology outpatient clinic and via ResearchMatch to complete questionnaires on urinary incontinence symptoms and incontinence-specific quality of life. Home zip code was merged with census data to determine SVI. Urinary symptom severity and quality of life were compared between those living in low versus high social vulnerability areas, and multivariable logistic regression was performed. ResultsThis sample included 1,004 women. Women with urinary incontinence living areas with the highest social vulnerability had significantly worse urinary incontinence severity and incontinence-specific quality of life, even after adjusting for covariates. ConclusionsIn this cohort, community-level social vulnerability is associated with worse urinary incontinence and worse incontinence-specific quality of life in women, even when controlling for multiple covariates. This suggests that community-level drivers of health play a significant role in urologic outcomes and urinary conditions, and that the social vulnerability index measure may be a useful tool to identify communities who may benefit most from targeted policy intervention efforts.

Environmental Impact of Overtreatment of Distal Radius Buckle Fractures

Introduction: Pediatric buckle fractures are common. Current literature supports a single provider visit with education and removable wrist brace/bandage, without additional follow-up visits. Potential overtreatment through casting and follow-up visits may impose a substantial environmental burden through waste generated from casts and vehicular CO2 emission. This study seeks to estimate the national environmental impact of buckle fracture overtreatment through geospatial analysis extrapolated from a review of buckle fracture treatment at our institution. Methods: A retrospective chart review was performed to determine incidence and treatment of buckle fractures at our institution between 2018 and 2022. All radiographs were reviewed to confirm appropriateness for inclusion. Data were collected for treatment, follow-up frequency, cast utilization, and patient home ZIP code. Buckle fracture incidence was computed using the total pediatric population served by our institution, derived from United States (US) Census data. Treatment was assumed to occur at the office of the nearest orthopedic surgeon, identified through the National Provider Identifier Registry. For cast waste estimation, we collected and weighed discarded short-arm casts from our institution and used the number of patients treated in a cast to estimate total waste. CO2 emissions were estimated to be 411 g of CO2 per mile, and mileage was calculated for round-trip distance to the nearest orthopedic surgeon and multiplied by the estimated number of unnecessary visits. Travel for the initial visit was not considered overtreatment and was not included. Results: Annually, the United States sees an estimated 66,495 buckle fractures, with 62.5% overtreated with casting. The average short-arm cast weighed 0.498 lbs ± 0.133. When additional visits occurred, there were an average of 1.2 additional visits. Each year, overtreatment of pediatric buckle fractures in the United States generates an estimated 9.4 tons of cast waste and 405.4 tons of CO2. Conclusion: Overtreatment of buckle fractures has a significant measurable environmental impact.

Community and Patient Features and Health Care Point of Entry for Pediatric Concussion

Many recent advances in pediatric concussion care are implemented by specialists; however, children with concussion receive care across varied locations. Thus, it is critical to identify which children have access to the most up-to-date treatment strategies. To evaluate differences in the sociodemographic and community characteristics of pediatric patients who sought care for concussion across various points of entry into a regional health care network. This cross-sectional study included children seen for concussions across a regional US health care network from January 1, 2017, to August 4, 2023. Pediatric patients aged 0 to 18 years who received an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Clinical Modification code for concussion were included. The study took place at emergency department (ED) and outpatient (primary care [PC] and specialty care [SC]) settings. Age at visit, biological sex, parent-identified race and ethnicity, payer type, median income and percentage of adults with a bachelor's degree for home zip code, and overall and subdomain Child Opportunity Index (COI) score based on patient address. The association of exposures with point of entry of ED, PC, and SC were examined in both bivariate analysis and a multinomial logistic regression. Overall, 15 631 patients were included in the study (median [IQR] age, 13 [11-15] years; 7879 [50.4%] male; 1055 [6.7%] Hispanic, 2865 [18.3%] non-Hispanic Black, and 9887 [63.7%] non-Hispanic White individuals). Race and ethnicity were significantly different across settings (1485 patients [50.0%] seen in the ED were non-Hispanic Black vs 1012 [12.0%] in PC and 368 [8.7%] in SC; P < .001) as was insurance status (1562 patients [52.6%] seen in the ED possessed public insurance vs 1624 [19.3%] in PC and 683 [16.1%] in SC; P < .001). Overall and individual COI subdomain scores were also significantly different between settings (overall COI median [IQR]: ED, 30 [9-71]; PC, 87 [68-95]; SC, 87 [69-95]; P < .001). Race, insurance status, and overall COI had the strongest associations with point of entry in the multivariable model (eg, non-Hispanic Black patients seen in the ED compared with non-Hispanic White patients: odds ratio, 2.03; 95% CI, 1.69-2.45). In this cross-sectional study, children with concussion seen in the ED setting were more likely to be non-Hispanic Black, have public insurance, and have a lower Child Opportunity Index compared with children cared for in the PC or SC setting. This highlights the importance of providing education and training for ED clinicians as well as establishing up-to-date community-level resources to optimize care delivery for pediatric patients with concussion at high risk of care inequities.

Access to National Cancer Institute-Designated Cancer Centers Among Native American Cancer Patients

Introduction/Purpose Native Americans (NAs) are subject to high cancer mortality rates in the USA. Despite that, they face significant geographic barriers to access to cancer care. This study aims to estimate the travel distance to a National Cancer Institute (NCI)-designated cancer center for NA patients in Utah and the continental USA. Methods This IRB-approved study utilized retrospective data on genitourinary cancer patients from both NAs and white populations from February 2013 to January 2023. The distance of their geographical location to the Huntsman Cancer Institute (HCI) at the University of Utah was calculated using their home zip code and a GeoData ZIP Code Distance Calculations Matrix Template. A shapefile containing NCI-designated cancer centers was used alongside the Area Deprivation Index (ADI), matched to block groups from the 2020 census, to serve as a national control group. All geographic data was visualized in ArcGIS 10.7 by using the coordinates and a 5-digit zip code tabulation area to map locations. Results A total of 468 NA patients were eligible and included. The median travel distance for NA patients vs. white patients to HCI was 190.6 miles (range: 1.1-596.4 miles) vs. 21.6 miles (range: 1.1-269 miles, p&lt;0.0001). In the continental US, the median travel distance from NA reservations vs. ADI-matched block groups to the nearest NCI-designated cancer centers was 186.5 miles (range 77.8-629 miles) vs. 159 miles (range 1.9-671.3 miles, p&lt;0.01). Conclusion The travel distance to NCI-designated cancer center for NA cancer patients in Utah was around nine times longer than that of white cancer patients. This study highlights the significant disparity in cancer care accessibility faced by NA communities.

Pediatric Burn Unit Admission is Associated with School Holidays and Lower Home Childhood Opportunity Level.

Burn injury can have profound detrimental effects on the quality of life and mental health of children. We collected demographics, burn etiology, burn date, and home zip code for pediatric patients admitted to our burn unit from 2016 to 2023. Age, burn date, and etiology of burn were used to assess temporal and mechanistic patterns of injury for preschool-age and school-age children. Home zip code was used to determine each child's home Childhood Opportunity Index (COI) score, which is composed of subdomains for Education, Health and Environment, and Social and Economic. We calculated the odds ratio for odds of pediatric burn admission for each COI subdomain quintile, using very high opportunity neighborhoods as the reference. Scald was the prevailing burn etiology (64%). In school-age children, July was the month with the most burn injuries (19%), attributable to firework injuries. School-age children were also more likely to be injured in a week without classroom instruction (P < .001). There was a dose-response relationship between COI and odds of burn admission, with the greatest odds of burn admission observed for children from very low educational opportunity areas (OR 5.21, 95% CI 3.67-7.39). These findings support interventions for burn prevention such as increased education about the dangers of fireworks, addressing inequities in access to childcare and extracurricular activities, and reducing the default water heater temperatures in multi-unit dwellings.

Examining associations between social vulnerability and maternal morbidity among a multicentre cohort of pregnancies complicated by placenta accreta spectrum disorder in New York City

BackgroundPlacenta accreta spectrum (PAS) disorder is a source of severe obstetric morbidity and mortality worldwide. The objective of this paper was to evaluate the potential relationship between social vulnerability and...

Influence of Social Deprivation on Patient-Reported Outcomes in Foot and Ankle Patients.

The impact of social health on patient-reported outcomes (PROs) is gaining increasing attention within the orthopaedic community. Few studies have explored any relationship between social deprivation levels and PROs in orthopaedic foot and ankle patients. We retrospectively identified patients who presented to an orthopaedic foot and ankle clinic for new evaluation. Patients completed PROs including PROMIS physical function (PF), PROMIS pain interference (PI), and the Foot and Ankle Ability Measure (FAAM). Social deprivation was measured using the Area Deprivation Index (ADI), a metric that incorporates various domains of poverty, education, housing, and employment. The ADI score quantifies the degree of social deprivation based on the 9-digit home zip code but is not a specific measure to an individual patient. Briefly, a lower ADI indicates less deprivation whereas a higher score denotes greater deprivation. Patient characteristics and outcomes were summarized and stratified by the nationally defined median ADI. Multivariable linear regression models assessed the relationships between PROs and continuous ADI controlling for demographics (age, sex, race/ethnicity, marital status, and employment status). Our cohort consisted of 1565 patients with PRO and appropriate zip code data. Patients in the most-deprived median ADI split had more pain (median PROMIS-PI 62.7 vs 61.2, P = .001) and less function (median PROMIS-PF 37.1 vs 38.6, P = .021) compared with the least-deprived median ADI split. The clinical significance of these findings is unclear, though, given the minimal differences between groups for PROMIS measures. There was no relationship between ADI and FAAM scores. More socially deprived patients presented to the clinic with marginally less function and greater pain. Although statistically significant, the clinical significance of these relationships is unclear and merits further exploration. We plan to continue to study the connection between social deprivation and patient outcomes in specific clinical conditions as well as before/after surgical interventions. Level IV, retrospective cases series.

Child mental health treatment access and retention in integrated primary care and traditional outpatient services.

There are disparities in child mental health treatment access and treatment retention in terms of race and ethnicity, socioeconomic status (SES), and insurance coverage. Institutions have invested in the integrated primary care (IPC) treatment model with the goal of improving treatment access and promoting child mental health equity. This study compared treatment attendance in an outpatient psychiatry clinic (OPC) versus an IPC clinic to assess whether the IPC was associated with reduced disparities in access to care and treatment retention. This study assessed whether there were differences in who is connected to care from the intake appointment to first follow-up appointment. Results showed that the IPC clinic served a more diverse patient population than the OPC clinic in terms of SES, race, and ethnicity. Differences in treatment attendance in the IPC and OPC were also found. After controlling for race, ethnicity, insurance, and distance from patient's home zip code to clinic, the IPC treatment setting was associated with poorer intake and follow-up appointment attendance. The IPC model may be more accessible to historically underserved youth, but the treatment setting does not inherently eliminate disparities in child mental health treatment retention. Replication of this study has the potential to contribute to the external validity of study findings, improve quality assurance policies, and develop equitable workflow policies. Future research is needed to identify factors that can improve treatment attendance for populations who face greater retention barriers and to shine light on ways that healthcare systems may inadvertently maintain disparity in treatment retention.

Mental Health Aftercare Availability for Juvenile Justice-Involved Youth in New York City.

The goal of our study was to describe the availability of community child and adolescent mental health services, trauma-informed care, and the geographic accessibility of these services for juvenile justice-involved (JJ) youth who received mental health services while in secure detention. Data collection occurred through direct contact with the child and adolescent outpatient clinics listed on the New York State Office of Mental Health website. Zip codes were collected from the juvenile secure detention census. Of the clinics contacted, 88.5 percent accepted JJ youth; however, 43.5 percent accepted them on a conditional basis. Only 62.1 percent offered trauma-informed care, including evidence-based interventions and unspecified care. Although 84.5 percent of the clinics that would accept this population reported currently accepting new patients, reported wait times were as high as six or more months. When JJ residents' home zip codes and those of the clinics were geographically mapped, there were few clinics in the zip codes where most residents lived. The clinics that accepted youth on a conditional basis often refused high-risk patients, essentially ruling out a large majority of this population. The geographical inaccessibility of these clinics limits their ability to provide care for this vulnerable population.

The Impact of Social Deprivation on Anterior Urethral Stricture Recurrence After Urethroplasty: A Trauma and Urologic Reconstructive Network of Surgeons Analysis.

Several factors influence recurrence after urethral stricture repair. The impact of socioeconomic factors on stricture recurrence after urethroplasty is poorly understood. This study aims to assess the impact that social deprivation, an area-level measure of disadvantage, has on urethral stricture recurrence after urethroplasty. We performed a retrospective review of patients undergoing urethral reconstruction by surgeons participating in a collaborative research group. Home zip code was used to calculate Social Deprivation Indices (SDIs, 0-100), which quantify the level of disadvantage across several sociodemographic domains collected in the American Community Survey. Patients without zip code data were excluded from the analysis. The Cox proportional hazards model was used to study the association between SDI and the hazard of functional recurrence, adjusting for stricture characteristics as well as age and BMI. Median age was 46.0 years with a median follow-up of 367 days for the 1452 men included in the study. Patients in the fourth SDI quartile (worst social deprivation) were more likely to be active smokers with traumatic and infectious strictures compared to the first SDI quartile. Patients in the fourth SDI quartile had 1.64 times the unadjusted hazard of functional stricture recurrence vs patients in the first SDI quartile (95% CI 1.04-2.59). Compared to anastomotic ± excision, substitution-only repair had 1.90 times the unadjusted hazard of recurrence. The adjusted hazard of recurrence was 1.08 per 10-point increase in SDI (95% CI 1.01-1.15, P = .027). Patient social deprivation identifies those at higher risk for functional recurrence after anterior urethral stricture repair, offering an opportunity for preoperative counseling and postoperative surveillance. Addressing these social determinants of health can potentially improve outcomes in reconstructive surgery.

Pre-injury methamphetamine use is associated with increased length of hospital stay in rural orthopaedic trauma patients

ObjectivesThe primary focus of this study is to determine if rural methamphetamine positive patients experience longer hospital length of stays compared to urban methamphetamine positive patients following an orthopaedic trauma. MethodsPatients presenting with traumatic orthopaedic injuries and urine drug screen were categorized into urban, suburban, and rural cohorts found in the Rural Urban Commuting Area codes based on home residence zip codes. Demographic, injury, hospital stay, and follow-up data were collected from the medical records. Comparisons between cohorts were determined by Chi square, Fisher exact, unpaired t-Tests, or ranked sum tests. DesignA retrospective cohort analysis. SettingAcademic Level I Trauma Center. Patient selection criteriaPatient records were examined between January 2013 to January 2023 for a traumatic orthopaedic injury and a urine drug screen result at the time of presentation to an academic Level I trauma center. Outcome measures and comparisonsMethamphetamine use status, patient age at time of admission, sex, marital status, insurance status, home zip code, orthopaedic injury location, complications, if the patient underwent surgery for orthopaedic injuries, admission date, discharge date, and discharge location were measured. Results249 patients met inclusion criteria for this analysis. Methamphetamine positive patients are significantly more likely to be younger, more likely to have surgery for orthopaedic injuries, experience a medical complication, or be discharged to home or a rehabilitation facility compared to methamphetamine negative patients. Urban patients experienced a shorter length of stay compared to suburban and rural patients, regardless of methamphetamine use status. Patients with Medicare, military, workers compensation, or commercial insurance are significantly more likely to attend follow-up appointments than patients with Medicaid or self-pay. ConclusionsMethamphetamine positive patients overall do not experience a longer length of hospital stay compared to methamphetamine negative patients. Rural methamphetamine positive patients experience a longer length of hospital stay compared to urban methamphetamine positive patients.

Should I See You Again Soon? Multispecialty Assessment of Impact and Burden of Preoperative History and Physical Update Visits.

Federal regulations require a history and physical (H&P) update performed 30 days or less before a planned procedure. We evaluated the use and burdens of H&P update visits by determining impact on operative management, suitability for telehealth, and visit time and travel burden. We identified H&P update visits performed in our health system during 2019 for 8 surgical specialties. As available, up to 50 visits per specialty were randomly selected. Primary outcomes were interval changes in history, examination, or operative plan between the initial and updated H&P notes, and visit suitability for telehealth, as determined by 2 independent physician reviewers. Clinic time was captured, and round-trip driving time and distance between patients' home and clinic ZIP codes were estimated. We identified 8,683 visits and 362 were randomly selected for review. Documented changes were most commonly identified in histories (60.8%), but rarely in physical examinations (11.9%) and operative plans (11.6%). Of 362 visits, 359 (99.2%) visits were considered suitable for telehealth. Median clinic time was 52 minutes (interquartile range 33.8 to 78), driving time was 55.6 minutes (interquartile range 35.5 to 85.5), and driving distance was 20.2 miles (interquartile range 8.5 to 38.4). At the health system level, patients spent an estimated aggregate 7,000 hours (including 4,046 hours of waiting room and travel time) and drove 142,273 miles to attend in-person H&P update visits in 2019. Given their minimal impact on operative management, regulatory requirements for in-person H&P updates should be reconsidered. Flexibility in update timing and modality might help defray the substantial burdens these visits impose on patients.

Association between summertime emergency department visits and maximum daily heat index in rural and non-rural areas of Virginia (2015–2022)

There is growing evidence that high ambient temperatures are associated with a range of adverse health outcomes. Further evidence suggests differences in rural versus non-rural populations' vulnerability to heat-related adverse health outcomes. The current project aims to 1) refine estimated associations between maximum daily heat index (HI) and emergency department (ED) visits in regions of Virginia, and 2) compare associations between maximum daily HI and ED visits in rural versus non-rural areas of Virginia and within those areas, for persons 65 years of age and older versus those younger than 65 years. Our study utilized 16,873,213 healthcare visits from Virginia facilities reporting to the Virginia Department of Health syndromic surveillance system between May and September 2015–2022. Federal Office of Rural Health Policy defined rural areas were assigned to patient home ZIP code. The estimated daily maximum HI at which ED visits begin to rise varies between 25 °C and 33 °C across climate zones and regions of Virginia. Across all regions, estimated ED visits attributable to days with maximum HI above 25.7 °C were higher in rural areas (3.7%, 95% CI: 3.5%, 3.9%) versus in non-rural areas (3.1%, 95% CIs: 3.0%, 3.2%). Patients aged 0–64 years had a higher estimated heat attributable fraction of ED visits (4.2%, 95% CI: 4.0%, 4.3%) than patients 65 years and older (3.1%, 95% CI: 2.9%, 3.4%). Rural patients older than 65 have a higher estimated fraction of heat attributable ED visits (2.7%, 95% CI: 2.2%, 3.1%) compared to non-rural patients 65 years and older (1.5%, 95% CI: 1.3%, 1.8%). State-level syndromic surveillance data can be used to optimize heat warning messaging based on expected changes in healthcare visits given a set of meteorological variables, and can be further refined based on climate, rurality and age.

The differential impacts of COVID-19 mortality on mental health by residential geographic regions: The Los Angeles Pandemic Surveillance Cohort Study.

This study examines the association between changes in mental health before and during the COVID-19 pandemic and COVID-19 mortality across geographic areas and by race/ethnicity. A cross-sectional survey was conducted in Los Angeles County between April and May 2021. The study used the Patient Health Questionnaire-2 to assess major depression risk. Participants' home ZIP codes were classified into low, middle, and high COVID-19 mortality impacted areas (CMIA). While there were existing mental health disparities due to differences in demographics and social determinants of health across CMIA in 2018, the pandemic exacerbated the disparities, especially for residents living in high CMIA. Non-White residents in high CMIA reported the largest deterioration in mental health. Differences in mental health by CMIA persisted after controlling for resident characteristics. Living in an area with higher COVID-19 mortality rates may have been associated with worse mental health, with Non-White residents reporting worse mental health outcomes in the high mortality area. It is crucial to advocate for greater mental health resources in high COVID-19 mortality areas especially for racial/ethnic minorities.