Medications Without Borders: Themes in Caregiver Administration of Imported Medications in Pediatrics.

OBJECTIVE: This study aimed to identify motivating factors in why parents administer imported medications to their children. METHODS: In this qualitative study, we enrolled caregivers of patients younger than 18 years who presented for care at a pediatric emergency department. The study team conducted face-to-face interviews with caregivers in the emergency department and used a semistructured question guide to probe for themes regarding the use of imported medications in children. Interviews were recorded, transcribed, translated if necessary, and coded. We applied grounded theory methodology to assess for themes and adapted the Andersen model of health care utilization to provide a framework for the identified themes. RESULTS: We completed 30 interviews, 9 of which were conducted in Spanish. Themes surrounding imported medication usage were categorized into predisposing, enabling, and need factors. Predisposing factors included perception that an ill child needs medication to get better, perception of medication quality, and past experiences with medications. Enabling factors included proximity to foreign countries, cost, limited access to primary care, and convenience of obtaining medications. Need factors included utilization of foreign medications for a "simple illness" and utilization of foreign care for a "second opinion." CONCLUSIONS: Our study used qualitative methodology to gain important insights into the caregiver experience of a diverse patient population. We identify themes not previously published in the medication importation literature. These concepts can provide insights in educational strategies aimed at mitigating the potential dangers of imported medication use in pediatrics.

Seated Position Does Not Change Lumbar Dimensions Compared With Lateral Position.

OBJECTIVE: The infant lumbar puncture (LP) can be a technically challenging procedure. Understanding the anatomical lumbar dimensions may optimize LP conditions. Data from preterm neonates, older children, and adults indicate measurements of the lumbar spine in the seated LP position may be superior when compared with the lateral position. We use point-of-care ultrasound (US) to determine if the seated position, when compared with the lateral decubitus position, significantly affected the lumbar dimensions of infants 12 months or younger presenting to the pediatric emergency department. METHODS: We conducted a prospective observational study of a convenience sample of patients 12 months or younger. We used US to obtain 3 still images oriented longitudinally in the midline over the L3 to L4 interspace in the lateral decubitus and seated positions. A US fellowship-trained emergency physician, blinded to patient position, measured interspinous space, subarachnoid space width, and spinal canal depth. We then compared the means of all 3 dimensions in the lateral and seated positions. RESULTS: From 50 subjects, 49 subjects provided 46 evaluable sets of images for each measure. Interspinous space, spinal canal depth, and subarachnoid space width did not differ significantly between positions. Mean differences did not exceed 0.02 cm for any of the measured dimensions. We report no significant differences in the 3 lumbar dimensions at the seated position when compared with the lateral decubitus position. CONCLUSIONS: For infants younger than 12 months, sonographic measurements of lumbar dimensions did not differ between the positions commonly used for LP.

Adolescent Experiences With Social Media and Suicidality.

OBJECTIVE: Examine social media experiences of the suicidal adolescent presenting to the emergency department with an acute mental health crisis. METHODS: We used qualitative interviews to obtain in-depth understanding of both negative and positive impacts of social media use on acute adolescent suicidal behavior. A bilingual transcriptionist transcribed audio recordings. Three investigators independently reviewed transcripts to identify themes and develop initial coding scheme through "open coding." Using grounded theory, data collection proceeded along with cultivation of themes until thematic saturation was achieved. Thematic saturation was determined when no new themes were generated from the data. Data were coded in Dedoose software to facilitate reporting of themes and quotes. Techniques to ensure trustworthiness included iterative data collection, use of a coding framework, and multiple coders. RESULTS: Seventeen interviews were conducted from May to October 2020. Median participant age was 15 years. Twenty-four percent were of Hispanic ethnicity and 82% identified as cisgender. Major themes include distraction from negative emotions; facilitated communication resulting in improved social connectedness; metric of connectedness; comparison of self to others; and desensitization and normalization to suicidal acts. Minor theme of increased time on social media is also discussed. These themes echoed components of current suicide theory. CONCLUSIONS: Acutely suicidal adolescents report social media experiences that reflect themes of social alienation and learned capacity for suicidal acts. Themes echo components of current suicide theory. Our participants also reported positive uses of social media. These protective experiences should be leveraged to inform strategies to interrupt behaviors leading to acute suicidality.

Mediating Role of Fine Particles Abatement on Pediatric Respiratory Health During COVID-19 Stay-at-Home Order in San Diego County, California.

Lower respiratory tract infections disproportionately affect children and are one of the main causes of hospital referral and admission. COVID-19 stay-at-home orders in early 2020 led to substantial reductions in hospital admissions, but the specific contribution of changes in air quality through this natural experiment has not been examined. Capitalizing on the timing of the stay-at-home order, we quantified the specific contribution of fine-scale changes in PM2.5 concentrations to reduced respiratory emergency department (ED) visits in the pediatric population of San Diego County, California. We analyzed data on pediatric ED visits (n = 72,333) at the ZIP-code level for respiratory complaints obtained from the ED at Rady Children's Hospital in San Diego County (2015-2020) and ZIP-code level PM2.5 from an ensemble model integrating multiple machine learning algorithms. We examined the decrease in respiratory visits in the pediatric population attributable to the stay-at-home order and quantified the contribution of changes in PM2.5 exposure using mediation analysis (inverse of odds ratio weighting). Pediatric respiratory ED visits dropped during the stay-at-home order (starting on 19 March 2020). Immediately after this period, PM2.5 concentrations, relative to the counterfactual values based in the 4-year baseline period, also decreased with important spatial variability across ZIP codes in San Diego County. Overall, we found that decreases in PM2.5 attributed to the stay-at-home order contributed to explain 4% of the decrease in pediatric respiratory ED visits. We identified important spatial inequalities in the decreased incidence of pediatric respiratory illness and found that brief decline in air pollution levels contributed to a decrease in respiratory ED visits.

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.

Comparison of Physician Implicit Racial Bias Toward Adults Versus Children.

BACKGROUND AND OBJECTIVES: The general population and most physicians have implicit racial bias against black adults. Pediatricians also have implicit bias against black adults, albeit less than other specialties. There is no published research on the implicit racial attitudes of pediatricians or other physicians toward children. Our objectives were to compare implicit racial bias toward adults versus children among resident physicians working in a pediatric emergency department, and to assess whether bias varied by specialty (pediatrics, emergency medicine, or other), gender, race, age, and year of training. METHODS: We measured implicit racial bias of residents before a pediatric emergency department shift using the Adult and Child Race Implicit Association Tests (IATs). Generalized linear models compared Adult and Child IAT scores and determined the association of participant demographics with Adult and Child IAT scores. RESULTS: Among 91 residents, we found moderate pro-white/anti-black bias on both the Adult (mean = 0.49, standard deviation = 0.34) and Child Race IAT (mean = 0.55, standard deviation = 0.37). There was no significant difference between Adult and Child Race IAT scores (difference = 0.06, P = .15). Implicit bias was not associated with resident demographic characteristics, including specialty. CONCLUSIONS: This is the first study demonstrating that resident physicians have implicit racial bias against black children, similar to levels of bias against black adults. Bias in our study did not vary by resident demographic characteristics, including specialty, suggesting that pediatric residents are as susceptible as other physicians to implicit bias. Future studies are needed to explore how physicians' implicit attitudes toward parents and children may impact inequities in pediatric health care.

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

CONTEXT: Medication drug exposures among young children continue to rise despite current poison prevention efforts. These exposures result in increased healthcare utilization and medical costs. New tactics are needed to reduce injuries related to pediatric drug exposures. OBJECTIVE: We aimed to identify cluster patterns in: (1) calls for pediatric medication drug exposures and (2) a subset of calls that resulted in medical evaluation referrals. We identified and evaluated population characteristics associated with cluster patterns. METHODS: We analyzed 26,685 pharmaceutical drug exposures involving children <5 years of age based on calls reported to the Pittsburgh Poison Center from 1 January 2006 to 31 December 2010. We performed spatial statistics to assess for clustering. We used logistic regression to estimate population characteristics associated with clustering. RESULTS: Spatial analysis identified 22 exposure clusters and five referral clusters. Sixty-five percent of 89 ZIP codes in the clusters of drug exposure with healthcare facility (HCF) referral were not identified in the exposure clusters. ZIP codes in the HCF referral clusters were characterized as rural, impoverished, and with high rates of unemployment and school dropouts. DISCUSSION: Our principal findings demonstrate pediatric drug exposures do exist in discrete geographic clusters and with distinct socioeconomic characteristics. CONCLUSION: This study offers a starting point for subsequent investigations into the geographic and social context of pediatric medication drug exposures. This is an important step in revising pediatric poison prevention strategies.