Zip Code Research Articles

Weather conditions and legionellosis: a nationwide case-crossover study among Medicare recipients.

Legionellosis is a respiratory infection caused by Legionella sp. that is found in water and soil. Infection may cause pneumonia (Legionnaires' Disease) and a milder form (Pontiac Fever). Legionella colonizes water systems and results in exposure by inhalation of aerosolized bacteria. The incubation period ranges from 2 to 14 days. Precipitation and humidity may be associated with increased risk. We used Medicare records from 1999 to 2020 to identify hospitalizations for legionellosis. Precipitation, temperature, and relative humidity were obtained from the PRISM Climate Group for the zip code of residence. We used a time-stratified bi-directional case-crossover design with lags of 20 days. Data were analyzed using conditional logistic regression and distributed lag non-linear models. A total of 37883 hospitalizations were identified. Precipitation and relative humidity at lags 8 through 13 days were associated with an increased risk of legionellosis. The strongest association was precipitation at day 10 lag (OR = 1.08, 95% CI = 1.05-1.11 per 1 cm). Over 20 days, 3 cm of precipitation increased the odds of legionellosis over four times. The association was strongest in the Northeast and Midwest and during summer and fall. Precipitation and humidity were associated with hospitalization among Medicare recipients for legionellosis at lags consistent with the incubation period for infection.

Pediatric High Blood Pressure Recognition Associated With Electronic Decision Support: A Cohort Analysis.

Pediatric high blood pressure (BP) predicts future cardiovascular disease events. High BP is improperly measured, underrecognized, and undermanaged especially in disadvantaged populations. In a large, diverse, academic pediatric practice, we detail the associations of a comprehensive initiative with high BP provider recognition. A comprehensive BP initiative was promulgated including (1) retraining providers and staff on BP management; (2) deploying equipment at 55+ sites; and (3) electronic decision support tool alerting staff and clinicians and suggesting management. During the 14-month preintervention and 14-month postintervention periods, data on BP and patient characteristics were collected. The outcome was incident BP recognition defined as any of the following: BP-specific International Classification of Diseases, Tenth Revision, diagnosis; problem list entry; specialty referral; diagnostic testing; repeat visit; or antihypertensives. Dichotomized as underpre versus at or over 13 years of age, analyses utilized interrupted time series and multivariable-adjusted logistic regression. From preintervention (children, n=105 674; adolescents, n=54 365) to postintervention (children, n=87 917; adolescents, n=56 470), the proportion measured with high BP declined in children and adolescents (30% versus 14% and 30% versus 15%, respectively, each P<0.001). Post-intervention, high BP provider recognition was 58% higher in children (4.6%-7.3%) and 43% higher in adolescents (7.9% versus 11.3%; P<0.001 for both). The improvement was not different in disadvantaged race, ethnicity, or zip codes. A comprehensive BP initiative was associated with more appropriate high BP measurement and recognition including in disadvantaged populations. Future work may address the low overall and nonsustained recognition and consideration of electronic decision support for pediatric BP management and mitigating disparities.

SOCIODEMOGRAPHIC DISPARITIES IN CORONARY ARTERY CALCIUM SCREENING

ObjectivesThis study aimed to compare the demographic features and socioeconomic status of patients who underwent coronary artery calcium screening to that of their local population. BackgroundCoronary artery calcium scores provide important evidence of subclinical atherosclerosis. However, insurance often does not cover coronary artery calcium testing, which could exclude people of lower socioeconomic status. MethodsDemographic and occupational data were obtained for all patients referred for coronary artery calcium in a metropolitan area between October 2010 and August 2023. Household income and population reference information were taken from US Census Data and matched to zip code and regional metropolitan area. ResultsCoronary artery calcium tests were performed on 627 patients with a median age of 63 years and equal gender representation (52% female, 48% male). Patients were predominately White (77%) and English-speaking (98%), which is incongruent with local demographic data (p<0.001). Healthcare workers were the largest workforce (22%), followed by people involved in education (12%), which is higher than the local healthcare workforce of 10% (p<0.001). Those with graduate/professional degrees accounted for 32% of patients, significantly more than the local population (p<0.001). The average median annual income ($94,116) of patients who underwent CAC testing was greater than that of the metropolitan median income of $81,264 (p <0.001). ConclusionThe disproportionate distribution of coronary artery calcium screening favoring educated, affluent, White English speakers indicates that higher-income and healthcare personnel are more likely to receive testing. Disparities in coronary artery calcium testing, especially in minorities and non-English speaking individuals, should be further explored.

Demographic Disparities and Outcomes Following Hip Arthroscopy

Background: The purpose of this study was to explore the impact of social deprivation on preoperative characteristics and postoperative outcomes following hip arthroscopy (HA) for femoroacetabular impingement syndrome (FAIS). Methods: Patients undergoing primary HA for FAIS were identified, and their social deprivation index (SDI) score was assigned on the basis of the provided ZIP code. Quartiles (Q1 to Q4) were established using national percentiles, with Q4 representing patients from the areas of greatest deprivation. Patient-reported outcomes (PROs) were collected preoperatively and at a minimum follow-up of 2 years. Achievement rates for clinically meaningful outcomes, including the minimal clinically important difference (MCID), patient acceptable symptom state (PASS), and substantial clinical benefit (SCB), were determined. The incidences of revision HA and conversion to total hip arthroplasty (THA) were recorded. SDI groups were compared with respect to preoperative characteristics and postoperative outcome measures. Predictors of MCID, PASS, and SCB achievement; revision HA; and conversion to THA were identified with use of multivariable logistic regression. Results: In total, 2,060 hips were included, which had the following SDI distribution: Q1 = 955, Q2 = 580, Q3 = 281, and Q4 = 244. The composition of the included patients with respect to race and/or ethnicity was 85.3% Caucasian, 3.8% African American, 3.7% Hispanic, 1.7% Asian, and 5.4% “other.” Patients with more social deprivation presented at a later age and with a higher body mass index (BMI), a longer duration of preoperative hip pain, and greater joint degeneration (p ≤ 0.035 for all). The most socially deprived groups had higher proportions of African American and Hispanic individuals, less participation in physical activity, and greater prevalences of smoking, lower back pain, and Workers’ Compensation (p ≤ 0.018 for all). PRO scores and achievement of the PASS and SCB were worse among patients from areas of greater social deprivation (p ≤ 0.017 for all). Age, BMI, activity status, race and/or ethnicity classified as “other,” SDI quartile, Workers’ Compensation, preoperative back pain, duration of preoperative hip pain, and Tönnis grade were independent predictors of clinically meaningful outcome achievement, revision arthroscopy, and/or THA conversion (p ≤ 0.049 for all). Conclusions: Individuals with more social deprivation demonstrated inferior postoperative outcome measures. This was driven primarily by preoperative characteristics such as SDI, hip pain duration, joint degeneration, and overall health at presentation. Despite differential outcomes, patients still showed clinical improvement regardless of SDI quartile. Level of Evidence: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Racial Inequities in Receiving Neoadjuvant Treatment in Patients With Pancreatic Cancer Are Associated With Worse Outcomes in Louisiana.

Pancreatic ductal adenocarcinoma (PDAC) is the third leading cause of cancer-related deaths. In recent years, the approach to managing this malignancy has evolved toward embracing neoadjuvant treatment (NAT), backed by studies reporting its survival benefit. This study aimed to identify factors that contribute to disparities in NAT utilization and their impact on outcomes in patients with PDAC who underwent resection in Louisiana. Data on diagnosed PDAC cases were obtained from the Louisiana Tumor Registry between 2000 and 2020. We conducted multivariable logistic regression to adjust for potential confounding factors in assessing the covariate relationships with NAT use. Multivariate Cox regression analysis was performed to determine which factors were associated with survival. Chained multiple imputation was performed on covariates with missing data in multivariable regressions. The study encompassed 2121 patients who underwent resection for PDAC. Upon controlling for potential confounding variables, Black patients were on average 5.7% less likely to receive NAT than their White counterparts (ATE = 5.7, aOR= 0.56, 95% CI = 0.40-0.80, p = 0.001). After adjustment for confounding factors, there was a significant decrease in the risk of overall death for patients who received NAT (aHR = 0.82, 95% CI = 0.71-0.94, p = 0.006). There was no significant interaction between race and NAT for the risk of death. Black patients with PDAC were less likely to receive NAT before resection in Louisiana. Overall survival improved in patients who underwent NAT. These differences were independent of insurance status and poverty zip codes, and future investigations should identify modifiable barriers to access and receipt of NAT in patients with PDAC.

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.

Application of a digital quality measure for cancer diagnosis in Epic Cosmos.

Missed and delayed cancer diagnoses are common, harmful, and often preventable. We previously validated a digital quality measure (dQM) of emergency presentation (EP) of lung cancer in 2 US health systems. This study aimed to apply the dQM to a new national electronic health record (EHR) database and examine demographic associations. We applied the dQM (emergency encounter followed by new lung cancer diagnosis within 30 days) to Epic Cosmos, a deidentified database covering 184 million US patients. We examined dQM associations with sociodemographic factors. The overall EP rate was 19.6%. EP rate was higher in Black vs White patients (24% vs 19%, P < .001) and patients with younger age, higher social vulnerability, lower-income ZIP code, and self-reported transport difficulties. We successfully applied a dQM based on cancer EP to the largest US EHR database. This dQM could be a marker for sociodemographic vulnerabilities in cancer diagnosis.

Young adults, particularly young women, account for an increasingly large share of Dutch mental healthcare expenditure over the period between 2015 and 2021.

There is increasing concern over the mental distress of youth in recent years, which may impact mental healthcare utilisation. Here we aim to examine temporal patterns of mental healthcare expenditures in the Netherlands by age and sex in the period between 2015 and 2021. Comprehensive data from health insurers in the Netherlands at the 3-number postal code level were used for cluster weighted linear regressions to examine temporal patterns of mental healthcare expenditure by age group (18-34 vs 35-65). The same was done for medical specialist and general practitioner costs. Additionally, we examined interactions with gender, by adding the interaction between age, year and sex to the model. Mental healthcare costs for younger adults (18-34) were higher than those for older adults (35-65) at all time points (β = 0.22, 95%-CI = 0.19; 0.25). Furthermore there was an increase in the strength of the association between younger age and mental healthcare costs from β = 0.22 (95%-CI = 0.19; 0.25) in 2015 to β = 0.37 (95%-CI = 0.35; 0.40) in 2021 (p < 0.0001) and this was most evident in women (p < 0.0001). Younger age was associated with lower general practitioner costs at all time points, but this association weakened over time. Younger age was also associated with lower medical specialist costs, which did not weaken over time. Young adults, particularly young women, account for an increasing share of mental healthcare expenditure in the Netherlands. This suggests that mental distress in young people is increasingly met by a response from the medical system. To mitigate this trend a public mental health approach is needed.

Hereditary Hemorrhagic Telangiectasia: Pregnancy and Delivery-Specific Considerations and Outcomes.

Prior studies have evaluated maternal outcomes in patients with hereditary hemorrhagic telangiectasia (HHT), yet pregnancy- and delivery-specific data remain limited. This study aims to evaluate pregnancy and delivery outcomes in patients with HHT. This retrospective cohort study used the Nationwide Readmissions Database to identify patients with HHT diagnosis on delivery between 2010 and 2021. The primary outcome was severe maternal morbidity (SMM). Secondary outcomes included nontransfusion SMM, preterm birth, stillbirth, prelabor rupture of membranes or preterm prelabor rupture of membranes, cesarean delivery, respiratory bleeding, cerebrovascular complications, patient disposition, and length of stay. Trends in the prevalence of HHT at delivery were assessed with logistic regression. Logistic regression analyses, adjusting for age, payer, zip code income, hospital size, and teaching status, were also used to produce adjusted relationships between HHT status and outcomes. The cohort of 21,698,861 delivered pregnancies corresponded to a national estimate of 44,325,599. Of those, 612 (national estimate: 1,265; 2.8 per 100,000) had a diagnosis of HHT. A steady rise in the HHT diagnosis rate during pregnancy from 2010 to 2021 (1.7 per 100,000 in 2010, 3.8 per 100,000 in 2021, p < 0.001 for trend) was seen. Patients with HHT were significantly more likely to experience SMM compared with patients without HHT (7.8 vs. 1.7%, adjusted relative risk [aRR]: 4.49 [95% confidence interval, CI: 3.06, 6.58]). Rates of preterm birth (14.2 vs. 8.5%, aRR: 1.57 [95% CI: 1.22, 2.03]), cesarean delivery (41.0 vs. 32.9%, aRR: 1.23 [95% CI: 1.07, 1.41]), respiratory bleeding (2.1 vs. <0.1%, aRR: 94.44 [56.64, 157.46]), and cerebrovascular complications (0.9 vs. <0.1%, aRR: 22.89 [9.89, 52.96]) were higher in patients with HHT than non-HHT patients. There was no difference in stillbirth rates between groups. Patients with HHT have higher rates of SMM and adverse delivery outcomes when compared with the baseline population. · There was a steady rise in the rates of HHT during pregnancy from 2010 to 2021.. · Patients with HHT are more likely to experience SMM.. · Patients with HHT are more likely to have a preterm delivery and cesarean delivery..

Trends in Gaps of Care for Patients With Congenital Heart Disease: Implications for Social Determinants of Health and Child Opportunity Index.

Lifelong continuity of care is essential for patients with congenital heart disease (CHD) to maximize health outcomes; unfortunately, gaps in care (GIC) are common. Trends in GIC and of social determinants of health factors contributing to GIC are poorly understood. This retrospective cohort study included patients with CHD, aged 0 to 34 years, who underwent surgery between January 2003 and May 2020, followed up at a pediatric subspeciality hospital. Patients were categorized as having simple, moderate, and complex CHD based on 2018 American Heart Association and American College of Cardiology guidelines. Social determinants of health, such as race, ethnicity, language, insurance status, and Child Opportunity Index, based on home address zip code, were analyzed. Of 2012 patients with CHD, a GIC of ≥3 years was identified in 56% (n=1119). The proportion of patients with GIC per year increased by 0.51% (P<0.001). Multivariable longitudinal models showed that the odds of GIC were higher for patients who were ≥10.5 years old, had simple CHD, lived out of state, lived farther from care site, received public insurance, had less protection with additional insurance plans, and with low Child Opportunity Index. A separate model for patients with only moderate/complex CHD showed similar findings. Race and ethnicity were not associated with the odds of experiencing GIC over time. GIC have increased over time for patients with CHD. Social determinants of health, like insurance, access, and neighborhood opportunity, are key risk factors for increasing GIC. Efforts to reduce GIC in patients with CHD should focus on addressing the impact of specific social determinants of health.

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

Burn injury can have profound detrimental effects on 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 2016-2023. Age, burn date, and etiology of burn were used to assess temporal and mechanistic patterns of injury for pre-school-age and school-age children. Home zip code was used to determine each child's home Childhood Opportunity Index score, which is composed of sub-domains for Education, Health & Environment, and Social & Economic. We calculated the odds-ratio for odds of pediatric burn admission for each COI sub-domain 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<0.001). There was a dose-response relationship between Childhood Opportunity Index 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.

6676 Exposure to Neighborhood Violence Rewires Glucocorticoid Receptor Binding and Drives Proliferation and Invasiveness in Lung Tumor Samples

Abstract Disclosure: H. Heath: None. J. Yoo: None. S. Akter: None. A. Jain: None. V. Sharma: None. H. McGee: None. A. Soliman: None. A. Mohamed: None. A.K. Matthews: None. R. Winn: None. Z. Madak Erdogan: None. S. Kim: None. Background: Despite the lower rates and frequency of smoking, Black men experience a higher incidence of lung cancer compared to white men. This health disparity is even more prevalent in Black men from Chicago, suggesting local neighborhood factors impacting tumorigenesis. Preliminary data indicate that, compared to white men, Black men are more likely to reside in neighborhoods with high levels of violence and have elevated levels of hair cortisol. Objective: To understand the link between lung tumorigenesis and exposure to neighborhood violence, our objective is to investigate the chromatin recruitment of the receptor for cortisol, called the glucocorticoid receptor (GR), and to correlate this recruitment with target gene expression levels. Methods: Utilizing CUT &amp; RUN, we identified the gene binding sites of GR using 15 lung tumor and corresponding healthy tissue samples from lung cancer patients living in Chicago. GR recruitment to chromatin was correlated with the neighborhood homicide rate obtained using patients’ zip codes. Spatial transcriptome profiles for these 15 lung tumor samples were obtained from the Space Ranger pipeline and gene expression hot spots of GR target genes were visualized using Loupe Browser (10x Genomics). Results: GR recruitment to regulatory regions of chromatin increases with greater zip code level violence rates. In patients from high violence neighborhoods, tumor samples had higher magnitude of binding compared to normal neighboring tissue. In tumor samples from patients living in high violence compared to low violence neighborhoods, GR binding is seen in genes that are associated with increased tumor aggressiveness. Hot-spot analysis of these genes found strong co-expression of genes associated with proliferation and invasion in samples from high violence but not low violence neighborhoods. Conclusion: Exposure to neighborhood violence may impact tumor biology via increased GR recruitment to genes associated with proliferation and invasion. Presentation: 6/2/2024

EVs meet health: A complex-systems policy integration approach for electric vehicle adoption and its impact on respiratory and cardiovascular disease

The transition from gasoline-combustion to zero-emission vehicles represents one of the most ambitious public and private enterprises around the globe to mitigate air pollution and its subsequent effects on climate change. The present study uses the rapid transition in the state of California to analyze the connections between the increasing utilization of electric vehicles (EVs) and two critical health outcomes: Asthma and acute myocardial infarction (AMI) emergency department (ED) visits. We fit simultaneous quantile and interquartile-range regression models to health and sociodemographic data from the California Office of Health and Hazard Assessment and electric vehicles registration data, 2011–2017. Results show that changes in EV utilization, from 2011 to 2013 to 2015–2017, have larger and more favorable effects as asthma and AMI deteriorate across zip codes. Looking at zip codes located at the 75th and 25th percentiles of the change in the asthma- and AMI-related ED visits distribution, a 5-percentage points change in the EV-to-gasoline combustion utilization ratio is associated with a 25-percentage points (p<.01) and 12.5-percentage points (p<.01) decline in asthma- and AMI-related ED visits, respectively. Our findings also suggest that, should the U.S. meet the goals of Executive Order N-79-20 by 2035, we could observe about 37,000 fewer asthma-related ED visits (95% CI: 16,154–59,280) per year, with an overall possible annual savings of about $65.5 million dollars (95% CI: $29.1M – $106.7M), and a possible decline of about 19,292 AMI-related hospitalizations, with possible annual savings of about $425 million dollars (95% CI: $365M – $509M). Our findings are optimistic in that spillover effects from increasing EV utilization can reduce healthcare costs while improving population health. Research should point toward the development of public-private coalitional strategies to effectively bridge usually disparate sectors of the economy and policy-making like energy and health.

8118 Effect of Rurality on Diabetes Technology Use Among Medicaid-Insured Youth Enrolled in a Mid-Western Accountable Care Organization

Abstract Disclosure: E.E. Bell-Sambataro: None. J. Kilbarger: None. A. Lahoti: None. J.M. Ladd: None. Background: Diabetes technology (continuous glucose monitors (CGM) and insulin pumps), is associated with improved glycemic control and quality of life in children with type 1 diabetes (T1D), but technology use is not equitable. We explored whether rural/urban disparities exist in CGM and pump use among pediatric patients with T1D enrolled in an Accountable Care Organization (ACO) and thus on Medicaid. Methods: We conducted a retrospective cohort study using claims data from the central Ohio ACO database from January 1, 2018 to September 30, 2022. Individuals aged 1 to &amp;lt;21years were identified using T1D-specific billing codes. CGM or pump use was defined using established prescription codes. Rurality was based on zip codes of residence linked to RUCA codes. For descriptive analyses, we calculated proportions, means and standard deviations. T-tests were used to compare continuous variables; chi-square tests were used to compare categorical variables. Multivariable Poisson regression was used to model the association between rurality and CGM or pump use, adjusted for age, sex, race, and era (pre-/post-COVID pandemic). Results: We identified 1079 enrolled individuals with T1D during the study period; 878 (81.4%) were using CGM and 259 (24%) were using insulin pumps. In descriptive analysis, CGM users were younger than non-users (users 11.4±4.4years vs non-users 15.3±3.8years, p&amp;lt;0.01). The distribution of rurality between CGM users and non-users was similar (users 73.5% urban, 26.3% rural vs non-users 66.6% urban, 33.3% rural, p=0.05). There were no age or rurality differences between pump users and non-users (users 12.2±3.8years vs non-users 12.1±4.8years, p=0.86; users 72.6% urban vs non-users 72.1% urban, p=0.92). In regression modeling, rurality was not significantly associated with CGM use (adjusted risk ratio (aRR) 0.95, 95% confidence interval (CI) 0.89-1.02) whereas age, race, era, and pump use were significantly associated. Rurality was significantly associated with pump use (aRR 0.79, 95% CI 0.63-0.99) as were age, race and era. Conclusions: In this cohort limited to pediatric patients with T1D on Medicaid, rural residence did not have a significant effect on CGM use but did make pump use less likely. Those of older age or non-White race were significantly less likely to use CGM and pumps. Future efforts targeting these disparities should be undertaken to increase use of these standard of care technologies among all children. Presentation: 6/2/2024

12261 Association Of Geographic And Demographic Factors With Receipt Of Endocrinology Care Among Adults With T2D And ASCVD Before And After Telemedicine Uptake

Abstract Disclosure: M. Zupa: None. J. Bauer: None. S. Rothenberger: None. Y. Zheng: None. A. Johnson: None. E. Kinnee: None. A. Rosland: None. Care from endocrinologists has been linked to improved care quality and uptake of novel treatments which may improve outcomes for adults with T2D and ASCVD, who are at high risk for adverse health outcomes. However, transportation, geographic, and other barriers may impact access to specialty care for under-resourced populations. We sought to evaluate the impact of patient-level geographic and sociodemographic factors on receipt of endocrinology care before and after widespread telemedicine uptake. We conducted a retrospective cohort study of adults with T2D and ASCVD in a large health system from 1/2018-6/2022. ZIP Code centroids were used to map patients to their home geographic area, and multivariable logistic regression models evaluated associations between sociodemographic and geographic predictors with receipt of endocrinology care. Analyses were stratified into pre- (1/1/2018-3/15/20) and post- (3/16/2020-6/30/2022) telemedicine periods. Mixed effects models tested for differences in associations between the pre- and post-telemedicine periods. The cohort included 9,546 patients, with mean age 68.5 (SD 10.0), 39% female, 89% white, 83% urban residents; 1,725 patients received endocrinology care. In the pre-telemedicine period, geographic factors associated with receipt of endocrinology care included distance to the nearest endocrinology clinic (aOR 0.74 (95% CI 0.64-0.84) per 10 miles) and neighborhood walkability (aOR 1.38 (1.00-1.91) per 10 point increase on 0-20 scale); sociodemographic factors included age (aOR 0.70 (0.66-0.75 per 10 years), male gender (aOR 0.81 (0.72-0.92), race (aOR 1.21 for Black vs white, aOR 2.55 for Asian vs white, p=0.003), social deprivation index (0.95 (0.91-0.99) per 10 point increase on 0-100 scale, with higher values indicating more local area deprivation), and comorbidity burden (aOR 1.27 (1.02-1.59) for Elixhauser score 14+ vs &amp;lt;0, p&amp;lt;0.001). In the post-telemedicine period, distance to endocrinology clinic (aOR 0.82 (0.73-0.93) per 10 miles), age (aOR 0.67 (0.63-0.71) per 10 years), male gender (aOR 0.83 (0.74-0.94)), and comorbid conditions (aOR 1.13 (0.90-1.43) for Elixhauser score 14+ vs &amp;lt;0, p&amp;lt;0.001) were associated with receipt of endocrinology care. In mixed models comparing pre- vs. post-telemedicine periods, travel distance to endocrinology clinic, race, and social deprivation index had weaker associations with receipt of endocrinology care in the post-telemedicine period compared to pre-telemedicine, while older age was more negatively associated with care receipt post-telemedicine. These findings indicate that both geographic and sociodemographic factors impact receipt of endocrinology care among high-risk adults with T2D and ASCVD. Widespread availability of telemedicine may be associated with more equitable access to endocrinology care for some under-resourced populations. Presentation: 6/3/2024

A ten-year overview of cancer genetic family history screening in Georgia's Latina population.

Population-based cancer genetic family history (FH) screening to identify families at high risk for BRCA-associated cancers has been endorsed by national public health policies. This report aimed to describe the utilization of FH screening services from 2013 to 2022 according to rurality and socioeconomic deprivation among Latinas in Georgia. Women who attended a medical appointment at participating Georgia Public Health Clinics were invited to complete FH screening. Screening results and participant zip code were reviewed. Area deprivation index (ADI) was measured at the census block group level and dichotomized (more deprived and less deprived). Rurality was measured through Rural-Urban Commuting Area (RUCA) codes and dichotomized (urban and rural). The ADI and RUCA codes were linked to participant data by zip code to characterize FH utilization among the Latina community. Of the 9,330 adult Latinas in Georgia that completed cancer genetic FH screening, 9,066 (97.17%) women screened negative, and 264 (2.83%) screened positive (i.e., FH suggestive of higher risk for carrying BRCA1/2 mutations compared to the general population). Screening completion was higher among Latinas in urban areas (n = 7,871) compared to rural areas (n = 1,459). Screening completion was also higher in more socially deprived areas (n = 5,207) compared to less socially deprived areas (n = 4,123). Georgia's FH screening program reached Latinas across Georgia, particularly those living in urban, socially deprived areas. To ensure equitable cancer genetic screening dissemination, future efforts should prioritize tailored outreach in rural regions and comprehensive evaluations to identify key determinants of screening trends among Georgia's Latina population.

Patient-Centered Cost Saving and Positive Environmental Impact With the Introduction of Telehealth Services at a Single Center.

To establish the patient-specific cost and time savings associated with telemedicine with the secondary environmental benefits of virtual visits within a tertiary referral center sub-specialty urology clinic. An electronic health record query was made of all urology telehealth visits that have occurred between October 4, 2020 and October 10, 2020 at a single academic center. We evaluated the cost of travel for an in-person visit based on zip code data. To adjust for productivity loss, the cost of missed work was added as either full day or half day-based distance and average compensation per day based on zip code data. Environmental impact was calculated using average CO2 emissions per mile not traveled. There were 6444 patients seen in the urology clinic via telehealth during the 6-month period. Urology patients traveled on average 69 ± 148 miles round-trip for an appointment. The average cost savings per patient including the cost of the gas and time away from work was $152.78 ± $105.90. Overall, over a 6-month period, the total cost savings was $984,534.73 for the 6444 patients seen via telemedicine. There was also a significant environmental impact of the decreased travel burden with 153.36 metric tons of CO2 emissions eliminated. With the implementation of telehealth during the COVID-19 pandemic, patients have been able to save a substantial amount of time and money primarily driven by the decreasing work hours lost and cost of travel.

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. Results1,960 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.

Ambient Air Pollution Exposure and Outcomes in Patients Receiving Lung Transplant

Elevated ambient fine particulate matter (PM2.5) air pollution exposure has been associated with poor health outcomes across several domains, but its associated outcomes among lung transplant recipients are poorly understood. To investigate whether greater PM2.5 exposure at the zip code of residence is associated with a higher hazard for mortality and graft failure in patients with lung transplants. This retrospective cohort study used panel data provided by the United Network for Organ Sharing, which includes patients receiving transplants across all active US lung transplant programs. Adult patients who received lung transplants between May 2005 and December 2016 were included, with a last follow-up of September 10, 2020. Data were analyzed from September 2022 to May 2023. Zip code-level annual PM2.5 exposure was constructed using previously published North American estimates. The primary outcome was time to death or lung allograft failure after lung transplant. A gamma shared frailty Cox proportional hazards model was used to produce unadjusted and adjusted hazard ratios (HRs) to estimate the association of zip code PM2.5 exposure at the time of transplant with graft failure or mortality. Among 18 265 lung transplant recipients (mean [SD] age, 55.3 [13.2] years; 7328 female [40.2%]), the resident zip code's annual PM2.5 exposure level was greater than or equal to the Environmental Protection Agency (EPA) standard of 12μg/m3 for 1790 patients (9.8%) and less than the standard for 16 475 patients (90.2%). In unadjusted analysis, median graft survival was 4.87 years (95% CI, 4.57-5.23 years) for recipients living in high PM2.5 areas and 5.84 years (95% CI, 5.71-5.96 years) for recipients in the low PM2.5 group. Having an annual PM2.5 exposure level greater than or equal to the EPA standard 12 μg/m3 was associated with an increase in the hazard of death or graft failure (HR, 1.11; 95% CI, 1.05-1.18; P < .001) in the unadjusted analysis and after adjusting for covariates (HR, 1.08; 95% CI, 1.01-1.15; P = .02). Each 1 μg/m3 increase in exposure was associated with an increase in the hazard of death or graft failure (adjusted HR, 1.01; 95% CI, 1.00-1.02; P = .004) when treating PM2.5 exposure as a continuous variable. In this study, elevated zip code-level ambient PM2.5 exposure was associated with an increased hazard of death or graft failure in lung transplant recipients. Further study is needed to better understand this association, which may help guide risk modification strategies at individual and population levels.

ZIP Code and ZIP Code Tabulation Area Linkage: Implications for Bias in Epidemiologic Research.

To our knowledge, no agreed-upon best practices exist for joining U.S. Census ZIP Code Tabulation Areas (ZCTAs) and U.S. Postal Service ZIP Codes (ZIPs). One-to-one linkage using 5-digit ZCTA identifiers excludes ZIPs without direct matches. "Crosswalk" linkage may match a ZCTA to multiple ZIPs, avoiding losses. We compared non-crosswalk and crosswalk linkages nationally and for mortality and health insurance in California. To elucidate selection implications, generalized additive models related sociodemographics to whether ZCTAs contained non-matching ZIPs. Nationwide, 15% of ZCTAs had non-matching ZIPs, i.e., ZIPs dropped under non-crosswalk linkage. ZCTAs with non-matching ZIPs were positively associated with metropolitan core location, lower socioeconomics, and non-white population. In California, 34% of ZIPs in the mortality and 25% in the health insurance data had ZCTAs with non-matching ZIPs; however, these ZIPs constitute only 0.03% of total mortality and 0.44% of total insurance enrollees. Our study findings support the use of crosswalk linkages and ZCTAs as a unit of analysis. One-to-one linkage may cause bias by differentially excluding ZIPs with more disadvantaged populations, although affected population sizes appear small.