Regional variations in pediatric medication exposure: Spatial analysis of poison center utilization in western Pennsylvania

Toxicologic Exposures in California Emergency Departments in 2011 and Its Risk Factors

INTRODUCTION

Toxicologic exposures (TE) are a major preventable public health issue, with most cases due to unintentional causes. Although these cases are well documented and reported via the National Poison Data System, there is little information regarding toxicologic exposure cases in the emergency department (ED). The aim of this study was to identify demographic groups at risk for potential poisoning.

METHODS

This was a cross-sectional study. We used data from the California State Emergency Department Database (SEDD) 2011 for statistical analysis.

RESULTS

The study included 10,124,598 ED visits in California in 2011. The prevalence of TE was 383.4 (379.6-387.3) per 100,000 visits. Toxicologic exposures were most common among patients aged <10 years (555.4, 95% confidence interval [CI]: 544.5-566.5 per 100,000 visits). Overall, TE was more common among males. White patients showed the highest prevalence of TE compared to other racial groups (P <0.001). Subpopulation analysis showed Native American female patients ages 10-19 had a noticeably higher prevalence of TE (1,464.4, 95% CI: 802.9-2444.9 per 100,000). The prevalence of TE was higher in households of higher median income (P <0.001). Prevalence of TE among those with a history of substance use was also elevated.

CONCLUSION

Toxicologic exposure cases in the ED are elevated in particular age and race/ethnicity groups, as well as among those with a diagnosis of substance use disorder. The strength of association between these factors and TE in the general population may be different because we examined ED visits only. Further preventive and education strategies are necessary and should target the demographic groups identified in this epidemiological study.

Aligning Partners in Pediatric Health: Using Geographical Information Systems to Plan Community Coalitions

Introduction: Compared with adults, children have higher emergency department (ED) utilization for asthma exacerbation. While community coalitions have been shown to prevent ED visits for asthma, there is little guidance on where to best implement these efforts. Geographical information systems (GIS) technology can help in the selection and coordination of potential coalition partners. This report proposes a model to be used by clinicians and child health equity advocates to strategize high-impact community health interventions. The aims were to identify the clusters of ED utilization for pediatric asthma, evaluate sociodemographic features of the population within the clusters, and identify potential primary care and school community partners. Methods: This model uses ED visit data from 450 nonmilitary California hospitals in 2012. We obtained ZIP code–level counts and rates for patients younger than 18 years discharged with a diagnosis code of 493 for asthma conditions from the California Office of Statewide Health Planning and Development’s Open Portal. We applied GIS spatial analysis techniques to identify statistically significant cluster for pediatric asthma ED utilization. We then locate the candidate community partners within these clusters. Results: There were 181 720 ED visits for asthma for all age groups in 2012 with 70 127 visits for children younger than 18 years. The top 3 geographic clusters for ED utilization rates were located in Fresno, Inglewood, and Richmond City, respectively. Spatial analysis maps illustrate the schools located within 0.5– and 1-mile radii of primary care clinics and provide a visual and statistical description of the population within the clusters. Conclusion: This study demonstrates a model to help clinicians understand how GIS can aid in the selection and creation of coalition building. This is a potentially powerful tool in the addressing child health disparities.

Utilization of a poison control center by critical access hospitals-one state's experience

PURPOSE

Critical access hospitals (CAH) are an important source of exposures for poison control centers (PCC), yet there is a paucity of literature on how these calls differ from larger, more urban hospitals (UH). This study aimed to compare call characteristics from CAH and UH received by a regional PCC.

METHODS

This retrospective chart review used the Toxicall^® database of the Kansas PCC. All cases involving calls from a health care facility from 1 January 2012 to 31 December 2017 were identified. Cases were then identified as either from a CAH or from one of the four largest UH in Kansas for comparison. CAH were defined using the criteria from the Centers for Medicare & Medicaid Services. All information was de-identified in REDCAPS and analyzed in Microsoft Excel.

FINDINGS

A total of 12,469 unique patient cases were identified, including 6392 CAH and 6077 UH cases. Patients at UH were more likely to have longer duration of medical effects and experience more severe medical effects. Significant differences in the unique exposures, rates of intentional overdose, routes, and number of exposures were found. Patients at CAH were more likely to receive activated charcoal, flumazenil, and be transferred to another healthcare facility, but were less likely to have been referred by the PCC, need an ICU admission, or require consultation with a toxicologist.

CONCLUSIONS

PCC calls from CAHs were common and resulted in significant differences when compared to UH calls. Future research is warranted to optimize PCC services for rural hospitals.

Epidemiological and sociocultural assessment of childhood poisonings

Objectives

Poisoning occurring in childhood still continues to be an important public health issue. The aim of the study is to socio-demographically and clinically examine poisoning cases consulted to emergency department.

Methods

The findings of 121 patients between the ages of 1 month and 17 years consulting to the pediatric emergency department with the suspicion of poisoning were examined retrospectively in the study.

Results

The mean age of the patients was 6.60 ± 5.70 (min-max: 0–17) years and 49.6% of the patients were male and 50.4% were female. The most common causes of poisoning were corrosive chemicals in 35 patients (28.9%), poisonous animals in 24 patient's (19.8%) and prescription medications in 24 patients (19.8%). While 103 (85.1%) of the cases were exposed to the factor accidently, 18 of the cases (14.9%) had attempted suicide. The mean monthly family income levels of accidently poisoned cases were significantly higher than those who attempted suicide (p < 0.001). The father's education level was lower in cases who were poisoned by suicide attempt than in those who were accidently poisoned (p < 0.001).

Conclusion

Poisoning rates in childhood and varieties of factors differentiate among the regions. The rate of poisoning cases due to poisonous animals was found to be quite high in the region where this study was carried out. In addition, the study showed that poisoning rates due to suicide attempt in children of families with low income level and/or father's education level have increased.

Linked data systems for injury surveillance and targeted prevention planning: Identifying geographical differences in injury in Western Australia, 2009-2012

ISSUE ADDRESSED

Injuries are a leading preventable cause of disease burden in Australia. Understanding how injuries vary by geographical location is important to guide health promotion planning. Therefore, the geographical and temporal distribution of injury across Western Australia from 2009 to 2012 is explored.

METHODS

Three Western Australian health datasets were linked and the expected number of injury cases per postcode calculated. A Standardised Injury Ratio was calculated by comparing the observed and expected number of injury cases. Priority areas and associated injury mechanisms were identified by postcode based on injury rates and temporal trends.

RESULTS

Injury levels varied across health region, health district and postcode. All nonmetropolitan regions had at least one health district classified as High or Medium-High priority. In contrast, neither metropolitan health region had health districts in these categories. Adopting the finer postcode level of analysis showed localised injury priority areas, even within health districts not classified as High or Medium-High injury areas. Postcodes classified as High or Medium-High injury priority were located alongside those with lower priority categories.

CONCLUSION

Injury prevention priority areas had consistent trends both geographically and over time. Finer scale analysis can provide public health policy makers with more robust information to plan, evaluate and support a range of injury prevention programs. SO WHAT?: The use of linked data systems and spatial analysis can assist health promotion decision-makers and practitioners by demonstrating area-based differences in injury prevention allowing effective targeting of limited resources to populations at the highest risk of injury.