Evaluation of associations between asthma exacerbations and distance to roadways using geocoded electronic health records data.

BACKGROUND: Asthma exacerbations in children often require medications, urgent care, and hospitalization. Multiple environmental triggers have been associated with asthma exacerbations, including particulate matter 2.5 (PM2.5) and ozone, which are primarily generated by motor vehicle exhaust. There is mixed evidence as to whether proximity to highways increases risk of asthma exacerbations. METHODS: To evaluate the impact of highway proximity, we assessed the association between asthma exacerbations and the distance of child's primary residence to two types of roadways in Durham County, North Carolina, accounting for other patient-level factors. We abstracted data from the Duke University Health System electronic health record (EHR), identifying 6208 children with asthma between 2014 and 2019. We geocoded each child's distance to roadways (both 35 MPH+ and 55 MPH+). We classified asthma exacerbation severity into four tiers and fitted a recurrent event survival model to account for multiple exacerbations. RESULTS: There was a no observed effect of residential distance from 55+ MPH highway (Hazard Ratio: 0.98 (95% confidence interval: 0.94, 1.01)) and distance to 35+ MPH roadway (Hazard Ratio: 0.98 (95% confidence interval: 0.83, 1.15)) and any asthma exacerbation. Even those children living closest to highways (less 0.25 miles) had no increased risk of exacerbation. These results were consistent across different demographic strata. CONCLUSIONS: While the results were non-significant, the characteristics of the study sample - namely farther distance to roadways and generally good ambient environmental pollution may contribute to the lack of effect. Compared to previous studies, which often relied on self-reported measures, we were able to obtain a more objective assessment of outcomes. Overall, this work highlights the opportunity to use EHR data to study environmental impacts on disease.

Positive Outliers: A Mixed Methods Study of Resiliency to Childhood Obesity in High-Risk Neighborhoods.

OBJECTIVE: Despite the high prevalence of obesity and the clustering of risk by neighborhood, few studies have examined characteristics which promote healthy child weight in neighborhoods with high obesity risk. We aimed to identify protective factors for children living in neighborhoods with high obesity risk. METHODS: We identified neighborhoods with high obesity risk using geolocated electronic health record data with measured body mass index (BMI) from well-child visits (2012-2017). We then recruited caregivers with children aged 5 to 13 years who lived in census tracts with mean child BMI percentile ≥72 (February 2020-August 2021). We used sequential mixed methods (quantitative surveys, qualitative interviews) to compare individual, interpersonal, and perceived neighborhood factors among families with children at a healthy weight (positive outliers [PO]) versus families with ≥1 child with overweight or obesity (controls). Regression models and comparative qualitative analysis were used to identify protective characteristics. RESULTS: Seventy-three caregivers participated in the quantitative phase (41% PO; 34% preferred Spanish) and twenty in the qualitative phase (50% PO; 50% preferred Spanish). The frequency of healthy caregiver behaviors was associated with being a PO (Family Health Behavior Scale Parent Score adjusted ß 3.67; 95% CI 0.52-6.81 and qualitative data). Protective factors also included caregivers' ability to minimize the negative health influences of family members and adhere to family routines. CONCLUSIONS: There were few differences between PO and control families. Support for caregiver healthy habits and adherence to healthy family routines emerged as opportunities for childhood obesity prevention in neighborhoods with high obesity risk.

Socioeconomic Influence on Emergency Medical Services Utilization for Acute Stroke: Think Nationally, Act Locally.

BACKGROUND AND PURPOSE: Rates of emergency medical services (EMS) utilization for acute stroke remain low nationwide, despite the time-sensitive nature of the disease. Prior research suggests several demographic and social factors are associated with EMS use. We sought to evaluate which demographic or socioeconomic factors are associated with EMS utilization in our region, thereby informing future education efforts. METHODS: We performed a retrospective analysis of patients for whom the stroke code system was activated at 2 hospitals in our region. Univariate and logistic regression analysis was performed to identify factors associated with use of EMS versus private vehicle. RESULTS: EMS use was lower in patients who were younger, had higher income, were married, more educated and in those who identified as Hispanic. Those arriving by EMS had significantly faster arrival to code, arrival to imaging, and arrival to thrombolytic treatment times. CONCLUSION: Analysis of regional data can identify specific populations underutilizing EMS services for acute stroke symptoms. Factors effecting EMS utilization varies by region and this information may be useful for targeted education programs promoting EMS use for acute stroke symptoms. EMS use results in more rapid evaluation and treatment of stroke patients.