Zip Code Research Articles

Social vulnerability and surgery outcomes: a cross-sectional analysis

BackgroundPost-operative complications present a challenge to the healthcare system due to the high unpredictability of their incidence. Socioeconomic conditions have been established as social determinants of health. However, their contribution relating to postoperative complications is still unclear as it can be heterogeneous based on community, type of surgical services, and sex and gender. Uncovering these relations can enable improved public health policy to reduce such complications.MethodsIn this study, we conducted a large population cross-sectional analysis of social vulnerability and the odds of various post-surgical complications. We collected electronic health records data from over 50,000 surgeries that happened between 2012 and 2018 at a quaternary health center in St. Louis, Missouri, United States and the corresponding zip code of the patients. We built statistical logistic regression models of postsurgical complications with the social vulnerability index of the tract consisting of the zip codes of the patient as the independent variable along with sex and race interaction.ResultsOur sample from the St. Louis area exhibited high variance in social vulnerability with notable rapid increase in vulnerability from the south west to the north of the Mississippi river indicating high levels of inequality. Our sample had more females than males, and females had slightly higher social vulnerability index. Postoperative complication incidence ranged from 0.75% to 41% with lower incidence rate among females. We found that social vulnerability was associated with abnormal heart rhythm with socioeconomic status and housing status being the main association factors. We also found associations of the interaction of social vulnerability and female sex with an increase in odds of heart attack and surgical wound infection. Those associations disappeared when controlling for general health and comorbidities.ConclusionsOur results indicate that social vulnerability measures such as socioeconomic status and housing conditions could affect postsurgical outcomes through preoperative health. This suggests that the domains of preventive medicine and public health should place social vulnerability as a priority to achieve better health outcomes of surgical interventions.

Fine Particulate Matter Components and Risk of Rheumatoid Arthritis: A Large General Canadian Open Cohort Study.

Exposure to fine particulate matter (PM2.5) has been linked to many diseases. However, it remains unclear which PM2.5 chemical components for these diseases, including rheumatoid arthritis (RA), are more harmful. This study aimed to assess potential associations between PM2.5 components and RA and quantify the individual effects of each chemical component on RA risk. An open cohort of 11,696,930 Canadian adults was assembled using Ontario administrative health data from January 2007 onward. Individuals were followed until RA onset, death, emigration from Ontario, or the end of the study (December 2019). Incident RA cases were defined by physician billing and hospitalization discharge diagnostic codes. The average levels of PM2.5 components (ammonium, black carbon, mineral dust, nitrate, organic matter, sea salt, and sulfate) for 5 years before cohort entry were assigned to participants based on residential postal codes. A quantile g-computation and Cox proportional hazard models for time to RA onset were developed for the mixture of PM2.5 components and environmental overall PM2.5, respectively. We identified 67,676 new RA cases across 130,934,256 person-years. The adjusted hazard ratios for the time to RA onset were 1.027 and 1.023 (95% confidence intervals 1.021-1.033 and 1.017-1.029) per every decile increase in exposures to all seven components and per 1 μg/m3 increase in the overall PM2.5, respectively. Ammonium contributed the most to RA onset in the seven components. Exposure to PM2.5 components was modestly associated with RA risk. Public health efforts focusing on specific components (eg, ammonium) may be a more efficient way to reduce RA burden.

Risk factors for persistent fatal opioid-involved overdose clusters in Massachusetts 2011–2021: a spatial statistical analysis with socio-economic, accessibility, and prescription factors

BackgroundFatal opioid-involved overdose rates increased precipitously from 5.0 per 100,000 population to 33.5 in Massachusetts between 1999 and 2022.MethodsWe used spatial rate smoothing techniques to identify persistent opioid overdose-involved fatality clusters at the ZIP Code Tabulation Area (ZCTA) level. Rate smoothing techniques were employed to identify locations of high fatal opioid overdose rates where population counts were low. In Massachusetts, this included areas with both sparse data and low population density. We used Local Indicators of Spatial Association (LISA) cluster analyses with the raw incidence rates, and the Empirical Bayes smoothed rates to identify clusters from 2011 to 2021. We also estimated Empirical Bayes LISA cluster estimates to identify clusters during the same period. We constructed measures of the socio-built environment and potentially inappropriate prescribing using principal components analysis. The resulting measures were used as covariates in Conditional Autoregressive Bayesian models that acknowledge spatial autocorrelation to predict both, if a ZCTA was part of an opioid-involved cluster for fatal overdose rates, as well as the number of times that it was part of a cluster of high incidence rates.ResultsLISA clusters for smoothed data were able to identify whether a ZCTA was part of a opioid involved fatality incidence cluster earlier in the study period, when compared to LISA clusters based on raw rates. PCA helped in identifying unique socio-environmental factors, such as minoritized populations and poverty, potentially inappropriate prescribing, access to amenities, and rurality by combining socioeconomic, built environment and prescription variables that were highly correlated with each other. In all models except for those that used raw rates to estimate whether a ZCTA was part of a high fatality cluster, opioid overdose fatality clusters in Massachusetts had high percentages of Black and Hispanic residents, and households experiencing poverty. The models that were fitted on Empirical Bayes LISA identified this phenomenon earlier in the study period than the raw rate LISA. However, all the models identified minoritized populations and poverty as significant factors in predicting the persistence of a ZCTA being part of a high opioid overdose cluster during this time period.ConclusionConducting spatially robust analyses may help inform policies to identify community-level risks for opioid-involved overdose deaths sooner than depending on raw incidence rates alone. The results can help inform policy makers and planners about locations of persistent risk.

Public Health Surveillance in Electronic Health Records: Lessons From PCORnet.

PCORnet, the National Patient-Centered Clinical Research Network, is a large research network of health systems that map clinical data to a standardized data model. In 2018, we expanded existing infrastructure to facilitate use for public health surveillance. We describe benefits and challenges of using PCORnet for surveillance and describe case studies. In 2018, infrastructure enhancements included addition of a table to store patients' residential zip codes and expansion of a modular program to generate population health statistics across conditions. Chronic disease surveillance case studies conducted in 2019 assessed atrial fibrillation (AF) and cirrhosis. In April 2020, PCORnet established an infrastructure to support COVID-19 surveillance with institutions frequently updating their electronic health record data. By August 2023, 53 PCORnet sites (84%) had a 5-digit zip code available on at least 95% of their patient populations. Among 148,223 newly diagnosed AF patients eligible for oral anticoagulant (OAC) therapy, 43.3% were on any OAC (17.8% warfarin, 28.5% any novel oral anticoagulant) within a year of the AF diagnosis. Among 60,268 patients with cirrhosis (2015-2019), common documented etiologies included unknown (48%), hepatitis C infection (23%), and alcohol use (22%). During October 2022 through December 2023, across 34 institutions, the proportion of COVID-19 patients who were cared for in the inpatient setting was 9.1% among 887,051 adults aged 20 years or older and 6.0% among 139,148 children younger than 20 years. PCORnet provides important data that may augment traditional public health surveillance programs across diverse conditions. PCORnet affords longitudinal population health assessments among large catchments of the population with clinical, treatment, and geographic information, with capabilities to deliver rapid information needed during public health emergencies.

Synergistic effects of social determinants of health and race-ethnicity on 30-day all-cause readmission disparities: a retrospective cohort study

ObjectiveThe objective of this study is to assess the effects of social determinants of health (SDOH) and race-ethnicity on readmission and to investigate the potential for geospatial clustering of patients...

Comprehensive computerized gait analysis: Barriers to access for children and adolescents

BackgroundComprehensive computerized gait analysis (CGA) alters orthopedic surgical plans and improves outcomes. Despite these documented benefits, CGA is not widely available to all patients who could be helped by it.Research Question: Do social determinants of health impact access to CGA? MethodsRetrospective review of patients seen for CGA from 2021 to 2022. Dates of referral, insurance approval and completion of CGA, demographics and insurance type were extracted from patient records. Zip codes were used to determine the neighborhood socioeconomic status (SES). Data were analyzed using non-parametric statistics. ResultsInsurance type affected time to authorization (private insurance/self-pay: median 9 days; HMO insurance: median 51.5 days; public insurance: median 27 days; p=0.0004). Once authorized, insurance type did not affect time to schedule and complete CGA (p=0.76). Lower neighborhood SES was associated with longer time to authorization but shorter time to complete CGA once authorized. Rescheduling was associated with longer time to complete CGA once authorized (median 29.5 vs. 16 days, p<0.0001). White, non-Hispanic families tended to reschedule more often than non-white or Hispanic families (35 % vs. 18 %, p=0.07). SignificanceKnowledge of barriers to CGA is necessary in order to design and implement effective strategies to widen its availability to all whom it could benefit. Social determinants of health and insurance type are associated with delays in authorization for CGA. Families with public insurance and HMO coverage experience delays in obtaining insurance authorization compared to PPO/self-pay patients, whose tests did not require prior authorization. However, there can also be delays in scheduling and completing CGA once authorized. This is a multi-faceted issue that requires further research.

Neighborhood deprivation is not associated with abortion consideration or completion in patients with fetal myelomeningocele.

The objective of this study was to evaluate whether patient-level neighborhood deprivation index (NDI) was associated with termination of pregnancy consideration and completion in patients presenting with fetal myelomeningocele. This was a retrospective cohort analysis of patients with fetal myelomeningocele presenting to a fetal treatment center (FTC) in Illinois between 2018 and 2024. The exposure was NDI calculated from patient zip codes. The NDI was analyzed as both a dichotomous and ordinal exposure. The co-primary outcomes were abortion consideration prior to FTC consultation, ascertained by nurse intake, and abortion completion after consultation. Bivariate and log-binomial regression analyses were performed. Covariates were selected based on p<0.10 on bivariate analyses. Otherwise, p<0.05 indicated statistical significance. A total of 157 participants were included. Evaluation of neighborhood deprivation as a dichotomous exposure revealed no association with abortion consideration or completion. AdditionallLy, no association was found on log binomial modeling after controlling for gestational age at presentation to the FTC and maternal race or ethnicity for abortion consideration (aRR 0.87, 95% CI 0.59-1.28) or completion (aRR 0.86, 95% CI 0.59-1.28). These results were similar when treating the NDI as an ordinal exposure. Contrary to our hypothesis, NDI is not associated with abortion consideration or completion in patients with fetal myelomeningocele.

Impact of Patient Race/Ethnicity on Premium Intraocular Lens Utilization.

To evaluate the relationship between social determinants of health and the likelihood of receiving a premium intraocular lens (IOL) at the time of cataract surgery. Retrospective chart review of a single-center, academic ophthalmology practice over a one-year period, with a primary outcome measure of placement of either a premium or standard IOL. We used logistic regression to calculate the odds of receiving a premium IOL, stratifying patients based on self-identified race/ethnicity, age, sex, insurance type (private insurance vs. Medicare or Medicaid), estimated household income (based on median household income for zip code), and presence of ocular pathology. Compared with self-identified White patients, Black patients were least likely to receive premium IOLs (OR=0.220, 95% CI 0.137-0.340, P <0.001), followed by Hispanic patients (OR=0.308, 95% CI 0.104-0.730) and Asian patients (OR=0.479, 95% CI 0.302-0.734). Patients with Medicare or Medicaid insurance were also less likely to receive premium IOLs (OR 0.522, 95% CI 0.336-0.784). White patients in our practice were more likely to receive premium IOLs than non-White patients, even when controlling for age, sex, insurance type, estimated median household income, and presence of ocular comorbidities. The underlying reason for this disparity should be explored further.

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.

Geographic Access to Urogynecology Care in the United States.

Although access to urogynecologic care is known to influence patient outcomes, less is known regarding geographic access to care and how it may vary by population characteristics. The primary objective of this study was to estimate geographic accessibility of urogynecologic services in terms of drive time and by population demographics. We performed a descriptive study using practice location data by zip code for all board-certified urogynecologists who are American Urogynecologic Society members (n = 497) and pelvic floor physical therapists (n = 985). Drive times from each zip code to the nearest health care professional zip code were calculated. These data were then overlaid onto a map of the continental United States. Race/ethnicity, age, education, poverty status, disability status, health insurance coverage, and rurality were compared across travel times. Of the 31,754 zip codes of the continental United States, 389 (1.23%) had at least 1 urogynecologist, and 785 (2.47%) had at least 1 pelvic floor physical therapist; 92.29 million women older than 35 years were represented in the demographic analyses. Seventy-nine percent of the studied population live within 1 hour of a urogynecologist, and 85% live within 1 hour of a pelvic floor physical therapist. Seven percent and 3% live >2 hours from urogynecologic services, respectively. Values for drive times to all health care professionals indicate that American Indian/Alaska Native individuals have a much greater travel burden than other racial/ethnic groups. There are population groups with limited geographic access to urogynecologic services. Pelvic floor physical therapists are more geographically accessible to the population studied than urogynecologists.

Health Resource Utilization and Cost Impact of Integrative Medicine Services for Newly Diagnosed Chronic Pain Patients.

Background: Integrative medicine (IM) is the healing-oriented practice of medicine that emphasizes the relationship between practitioner and patient. It considers the whole person, their environment, lifestyle, and social and cultural factors. It is evidence based and makes use of all appropriate therapies, conventional and complimentary. Objective: To evaluate the impact of IM services on health outcomes and care costs of chronic pain management patients compared with standard care. Methods: This article uses University of New Mexico hospital billing data from 10/2016 to 09/2019 to identify patients with nervous system or musculoskeletal pain. A total of 1,304 patients were matched using propensity scores into IM services (treatment: 652) and standard care (control: 652) cohorts for difference-in-differences analysis. The patients were matched based on age, sex, race, zip code, insurance type, ICD-10s, prescriptions, health care events, and medical claim costs. Results: Patients who used IM services had better health outcomes and lower costs at 3-month, 6-month, and 12-month follow-up. At the 12-month follow-up, the IM group showed a 19% decrease in utilization of inpatient care, a 37% decrease in Emergency Department utilization, and an 11.3% reduction in claim costs compared with the control group. Conclusion: Patients who utilize IM services as part of chronic pain management have overall lower health care costs and better health outcomes. Unfortunately, in the health system studied, less than 3% of patients utilize these services. Promotion of and education about IM services should be aimed at both patients and their providers.

Racial and Ethnic Disparities in Sacrocolpopexy Approach.

Racial inequity elevates risk for certain diagnoses and health disparities. Current data show disparities for Black women when comparing open versus minimally invasive hysterectomy. It is unknown if a similar disparity exists in surgical management of pelvic organ prolapse. The objective of this study was to determine whether racial or ethnic disparities exist for open abdominal versus minimally invasive sacrocolpopexy. Cross-sectional data of the Healthcare Cost and Utilization Project National Inpatient Sample and the Nationwide Ambulatory Surgery Sample for the year 2019 was used. Bivariate analysis identified demographic and perioperative differences between abdominal versus minimally invasive sacrocolpopexy, which were compared in a multivariable logistic regression. Forty-one thousand eight hundred thirty-seven patients underwent sacrocolpopexy: 35,820 (85.6%), minimally invasive sacrocolpopexy, and 6,016, (14.4%) abdominal sacrocolpopexy. In an unadjusted analysis, Black patients were more likely to undergo an abdominal sacrocolpopexy compared to non-Hispanic White patients (OR 2.14, 95% CI 1.16-3.92, P <0.01). Hispanic patients were more likely to undergo abdominal sacrocolpopexy compared to non-Hispanic White patients (OR 1.69, 95% CI 1.26-2.26, P <0.001). Other factors associated with abdominal sacrocolpopexy are zip code quartile, payer status, composite comorbidity score, hospital control, and hospital bed size. In the regression model, Black patients remained more likely to undergo abdominal sacrocolpopexy compared to those who identified as White (aOR 2, 95% CI 1.26-3.16, P < 0.003). Hispanic patients were more likely to undergo abdominal sacrocolpopexy compared to those who identified as White (aOR 1.73, 95% CI 1.31-2.28, P < 0.001). Abdominal sacrocolpopexy was more likely to occur in patients who identified as Black or Hispanic.

The Performance of Critical Congenital Heart Disease Screening in Rural Versus Urban Locations in the Northwest United States

Pulse oximetry screening of newborns detects critical congenital heart disease (CCHD). Rural birth location is known to affect timing and management of when infants with CHD undergo surgery, but its association with CCHD screening is unknown. We assess the relationship between rural location and postnatal CCHD diagnosis and describe lesion-specific modes of diagnosis. Data were abstracted from medical records at 2 cardiac surgery centers in Washington state. Infants with CCHD, defined as CHD requiring either cardiac intervention or resulting in death at <1month of age, born between July 2015 and June 2020, were included and classified by method of identification. Patient home ZIP codes were used to determine rural location. We included 561 newborns with CCHD; 35% were diagnosed postnatally. Predominant postnatal mechanisms of identification (n=194) included symptomatic before CCHD screening period (56%), CCHD screening (22%), and symptomatic after false-negative screen (15%). Postnatal diagnosis rate increased with degree of ruralness (48% in small rural/isolated regions vs 32% in urban regions; P=.01) and incidence of undiagnosed CCHD at birth increased with lower nursery levels (5.5/10000 live births in nursery level 1 vs 2.1/10000 live births in level 4). CCHD screening identifies 22% of postnatally diagnosed CCHD and 7% of cases overall in our region. Postnatal diagnosis is more common in rural regions. The incidence of undiagnosed CCHD at birth increases with decreasing nursery levels. This study supports the value of CCHD screening in routine newborn care, especially in rural areas and hospitals with lower nursery levels.

Early detection of pediatric health risks using maternal and child health data

Machine learning (ML)-driven diagnosis systems are particularly relevant in pediatrics given the well-documented impact of early-life health conditions on later-life outcomes. Yet, early identification of diseases and their subsequent impact on length of hospital stay for this age group has so far remained uncharacterized, likely because access to relevant health data is severely limited. Thanks to a confidential data use agreement with the California Department of Health Care Access and Information, we introduce Ped-BERT: a state-of-the-art deep learning model that accurately predicts the likelihood of 100+ conditions and the length of stay in a pediatric patient’s next medical visit. We link mother-specific pre- and postnatal period health information to pediatric patient hospital discharge and emergency room visits. Our data set comprises 513.9K mother–baby pairs and contains medical diagnosis codes, length of stay, as well as temporal and spatial pediatric patient characteristics, such as age and residency zip code at the time of visit. Following the popular bidirectional encoder representations from the transformers (BERT) approach, we pre-train Ped-BERT via the masked language modeling objective to learn embedding features for the diagnosis codes contained in our data. We then continue to fine-tune our model to accurately predict primary diagnosis outcomes and length of stay for a pediatric patient’s next visit, given the history of previous visits and, optionally, the mother’s pre- and postnatal health information. We find that Ped-BERT generally outperforms contemporary and state-of-the-art classifiers when trained with minimum features. We also find that incorporating mother health attributes leads to significant improvements in model performance overall and across all patient subgroups in our data. Our most successful Ped-BERT model configuration achieves an area under the receiver operator curve (ROC AUC) of 0.927 and an average precision score (APS) of 0.408 for the diagnosis prediction task, and a ROC AUC of 0.855 and APS of 0.815 for the length of hospital stay task. Further, we examine Ped-BERT’s fairness by determining whether prediction errors are evenly distributed across various subgroups of mother–baby demographics and health characteristics, or if certain subgroups exhibit a higher susceptibility to prediction errors.

Geography versus sociodemographics as predictors of changes in daily mobility across the USA during the COVID-19 pandemic: a two-stage regression analysis across 26 metropolitan areas

ObjectiveWe investigated whether a zip code’s location or demographics are most predictive of changes in daily mobility throughout the course of the COVID-19 pandemic.DesignWe used a population-level study to examine...

Linguistic isolation correlates with length of stay and mortality for pediatric oncology patients in California.

To evaluate social drivers of health and how they impact pediatric oncology patients' clinical outcomes during pediatric intensive care unit (PICU) admission via correlation with patient ZIP codes. Demographic, clinical, and outcome variables from Virtual Pediatric Systems®, LLC for oncology patients (2009-2021) in California PICUs (excluding postoperative) using 3-digit ZIP Codes with social drivers of health variables linguistic isolation, poverty, race/ethnicity, and education abstracted from American Community Survey data for 3-digit ZIP Codes using the Environmental Protection Agency's EJScreen tool. Outcomes of length of stay (LOS), mortality, acuity scores, were compared with social variables. Positive correlation between mortality and minority racial groups (Hispanic/Latino) across ZIP Codes (correlation coefficients of 0.45 (95% CI: 0.22-0.64, p < 0.001) in 2017, 0.50 (95% CI: 0.27-0.68, p < 0.001) in 2018, 0.33 (95% CI: 0.07-0.54, p = 0.013) in 2020, and 0.32 (95% CI: 0.06-0.53, p = 0.018) in 2021). Median PICU length of stay significantly correlated with linguistic isolation (coefficient of 0.42 (95% CI: 0.18-0.61, p = 0.001) in 2021 versus -0.41 (95% CI: -0.61 to -0.16, p = 0.002) in 2019), which included PRISMIII (n = 7417). Mixed effects logistic regression model for other constant variables (PRISMIII, cancer type, race/ethnicity, year), random effect of patient, linguistic isolation (percentage as a continuous value) was significantly associated (95% CI: 1.01-1.06; p = 0.02) with mortality; (OR = 1.03). Linguistic isolation was correlated with LOS and mortality, however variable year to year.

Comparative safety performance of autonomous- and human drivers: A real-world case study of the Waymo Driver

After several years of public road testing, the commercial deployment of fully autonomous vehicles—or Automated Driving Systems (ADS)—is poised to scale substantially following significant technological advancements and recent regulatory approvals. However, the fundamental question of whether an ADS is safer than its human counterparts remain largely unsolved due to several challenges in establishing an appropriate real-world safety comparison method. As scaling ensues, the lack of an established method can contribute to misinterpretations or uncertainties regarding ADS safety and impede the continuous and consistent assessment of ADS performance. This study introduces three research developments to define a robust and replicable safety comparison method to address this critical methodological gap. First, we introduce the use of liability insurance claims data to measure the comparative safety between ADS and human drivers. Second, we use Swiss Re insurance claims data to establish the first zip code- and responsibility-calibrated human performance benchmark, composed of over 600,000 private passenger vehicle claims and 125 billion miles of driving exposure. Third, we perform a case study by applying the developed baseline to evaluate the safety impact of the Waymo Driver. We find that when benchmarked against zip code-calibrated human baselines, the Waymo Driver significantly improves safety towards other road users. The comparison method established in this study can be replicated for other regions or ADS deployments to aid the decision-making of ADS safety stakeholders such as regulators, and instill trust in the general public.

The Impact of Sociodemographic Factors on Rates of Tympanostomy Tube Placement for Pediatric Otitis Media.

To identify the impact of race, ethnicity, and socioeconomic status (SES) on the rate of tympanostomy tube placement. Retrospective medical review and population-level analyses. Tertiary referral center. Demographic and population-level characteristics (age, gender, race, insurance status, and ZIP code) compared to the regional, health system, and otolaryngology clinic demographics. Among 38,461 children diagnosed with otitis media (OM) 61.4% were white, 27.4% were black, 32.7% had private insurance, and 18.2% were Hispanic. Among patients seen in the pediatric ear, nose, and throat (ENT) clinics, 70.0% were white, 20.0% were black, 46.6% had private insurance, and 14.9% were Hispanic. Further disparity was noted among those receiving tympanostomy tubes: 75.6% white, 15.6% black, 61.9% private insurance, and 11.7% Hispanic. Higher rates of tube placement were noted for those of white race [odds ratio, OR: 1.96, (95% confidence interval, CI: 1.85-2.04), <.001] and non-Hispanic ethnicity [OR: 1.67, (95% CI: 1.56-1.75), <.001]. Geographically, rates of tube placement were significantly lower in areas with higher deprivation indices, areas with lower proportions of white residents, and areas with the lowest median incomes. These markers correlate strongly with black race and Hispanic ethnicity. Lower rates of tube placement were also seen in majority white locales with higher deprivation indices and lower median incomes. Rates of access to pediatric ENT clinics, and of tube placement, are significantly lower for those of Hispanic ethnicity and black race than for non-Hispanic white children. Higher rates of tube placement were noted among white children and those with private insurance. Lower rates of tube placement were seen in areas of lower SES regardless of racial demographics.

Geographic Differences in Pediatric Surgical Mortality in Canada: A Retrospective Cohort Study

ObjectiveThis study describes differences in postoperative mortality for pediatric patients in rural communities compared to urban communities. BackgroundCanada has the second largest land mass in the world, with a population density of 4 people per km2. There are 18 children’s hospitals in Canada offering pediatric surgical services, all in urban centres, yet nearly one-fifth of the population lives in rural or remote communities. Children who live in rural settings may have worse surgical outcomes, including mortality rates, compared with urban populations. MethodsPediatric patients, from birth to 18 years old, who had surgery from January 1, 2011, to December 31, 2021, at a single Children's Hospital were included in the study. Data was obtained from the provincial Operating Room Information System (ORIS) database. Postal code, rural and urban status, distance to children's hospital (0-50 km, 51-100 km, 101-150 km, 151-200 km, and >200 km), and procedure urgency were collected. 30-day mortality for all procedures was collected. Results85,998 surgical procedures were performed at ACH between 2011 and 2021. 17,773 (20.7%) of patients lived >50 km or more from the hospital – 5,329 (6.2%) 51- 100 km, 4,053 (4.7%) 101-150 km, n=2,323 (2.7%) 151-200 km, and 6,070 (7.1%) >200 km. Rural patients had higher 30-day mortality rates than urban patients, with an odds ratio of mortality (rural vs urban) of 2.30 (95% CI, 0.95 to 5.60). When stratified by distance, patients living closer to the hospital (0-50 km) had lower odds of mortality. ConclusionsCanadian Rural patients have higher operative mortality risks than urban patients. This study identifies a vulnerable group of patients who do not have equal access to care and may experience worse outcomes.

Assessing national trends in indications for pediatric total thyroidectomy

PurposeThe most common indications for total thyroidectomy (TT) in children are malignancy and thyrotoxicosis due to Graves' disease (GD). However, the incidence of patients with GD among patients undergoing TT is unknown. This study aims to examine trends in pediatric TT. Materials and methodsThe US Agency for Health Research and Quality Healthcare Cost and Utilization Project (HCUP) Kids' Inpatient Database (KID) was queried to identify patients who underwent TT between 1997 and 2019. Weighted national estimates were obtained. Statistical analysis was completed using univariate logistic regression and one-sided Mann-Kendall Test. ResultsAn estimated 4803 pediatric patients underwent TT within the study years. GD was the indication in 25 % of cases. Mann-Kendall testing showed a trend toward an increasing proportion of TT for GD without reaching statistical significance (z = 1.3609, S = 12, p = 0.0688). Statistically significant univariate associations were found among those who underwent thyroidectomy for GD compared to other indications, as they were more likely to be female (β = 0.286, 95 % CI [0.058, 0.514], p = 0.014), Black, or Hispanic (β = 1.392 [1.064, 1.721], p < 0.001; and β = 0.562 [0.311, 0.814], p < 0.001, respectively). Additionally, they were less likely to have private insurance (β = −0.308 [−1.076, −0.753], p = 0.002) and more likely to live in a ZIP code associated with a median household income below the 50th percentile (β = 0.190 [0.012, 0.369], p = 0.036). The associations with the female sex, Black race, and Hispanic race persisted in multivariate analysis. ConclusionGD appears to be an increasingly prevalent indication for TT. Patient characteristics differ from those who undergo TT for other diagnoses.