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Improving Care of Inner-City Children with Poorly Controlled Asthma: What Mothers Want You to Know.

ABSTRACT: INTRODUCTION:Low-income caregiver perspectives on asthma management are understudied but may illuminate strategies to improve care delivery and child outcomes. METHOD:Purposive sampling methods were used to recruit 15 caregivers of children with frequent asthma emergency department visits. Interviews explored how poverty and stress affect asthma management. Grounded theory coding techniques were used to analyze the data. RESULTS:Participants were the biological mother (100%) and were poor (75% had mean annual income ? $30,000). Their children (mean age = 6.9 years) were African American (100%), enrolled in Medicaid (100%), and averaged 1.5 emergency department visits over the prior 3 months. Four themes emerged: (a) Deplorable Housing Conditions, (b) Allies and Adversaries in School-Based Asthma Management, (c) Satisfaction With Asthma Health Care Delivery, and (d) Prevalent Psychological Distress. DISCUSSION:Impoverished caregivers of children with frequent asthma emergency department visits describe stress that is multifaceted, overwhelming, and difficult to eradicate. Their experiences underscore the need for improved school-based asthma management and family-centered approaches to health care delivery.

SUBMITTER: Bellin MH

PROVIDER: S-EPMC6026044 | biostudies-literature | 2018 Jul - Aug

REPOSITORIES: biostudies-literature

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Improving Care of Inner-City Children with Poorly Controlled Asthma: What Mothers Want You to Know.

Bellin Melissa H MH Newsome Angelica A Lewis-Land Cassie C Kub Joan J Mudd Shawna S SS Margolis Rachel R Butz Arlene M AM

Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners 20180312 4

<h4>Introduction</h4>Low-income caregiver perspectives on asthma management are understudied but may illuminate strategies to improve care delivery and child outcomes.<h4>Method</h4>Purposive sampling methods were used to recruit 15 caregivers of children with frequent asthma emergency department visits. Interviews explored how poverty and stress affect asthma management. Grounded theory coding techniques were used to analyze the data.<h4>Results</h4>Participants were the biological mother (100% ...[more]

PMID: 29540280

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Project description:BackgroundChildren with asthma in low-income urban areas have high morbidity. Phenotypic analysis in these children is lacking, but may identify characteristics to inform successful tailored management approaches.ObjectiveWe sought to identify distinct asthma phenotypes among inner-city children receiving guidelines-based management.MethodsNine inner-city asthma consortium centers enrolled 717 children aged 6 to 17 years. Data were collected at baseline and prospectively every 2 months for 1 year. Participants' asthma and rhinitis were optimally managed by study physicians on the basis of guidelines. Cluster analysis using 50 baseline and 12 longitudinal variables was performed in 616 participants completing 4 or more follow-up visits.ResultsFive clusters (designated A through E) were distinguished by indicators of asthma and rhinitis severity, pulmonary physiology, allergy (sensitization and total serum IgE), and allergic inflammation. In comparison to other clusters, cluster A was distinguished by lower allergy/inflammation, minimally symptomatic asthma and rhinitis, and normal pulmonary physiology. Cluster B had highly symptomatic asthma despite high step-level treatment, lower allergy and inflammation, and mildly altered pulmonary physiology. Cluster C had minimally symptomatic asthma and rhinitis, intermediate allergy and inflammation, and mildly impaired pulmonary physiology. Clusters D and E exhibited progressively higher asthma and rhinitis symptoms and allergy/inflammation. Cluster E had the most symptomatic asthma while receiving high step-level treatment and had the highest total serum IgE level (median, 733 kU/L), blood eosinophil count (median, 400 cells/mm3), and allergen sensitizations (15 of 22 tested).ConclusionsAllergy distinguishes asthma phenotypes in urban children. Severe asthma often coclusters with highly allergic children. However, a symptomatic phenotype with little allergy or allergic inflammation was identified.

Project description:BackgroundPathway analyses can be used to determine how host and environmental factors contribute to asthma severity.ObjectiveTo investigate pathways explaining asthma severity in inner-city children.MethodsOn the basis of medical evidence in the published literature, we developed a conceptual model to describe how 8 risk-factor domains (allergen sensitization, allergic inflammation, pulmonary physiology, stress, obesity, vitamin D, environmental tobacco smoke [ETS] exposure, and rhinitis severity) are linked to asthma severity. To estimate the relative magnitude and significance of hypothesized relationships among these domains and asthma severity, we applied a causal network analysis to test our model in an Inner-City Asthma Consortium study. Participants comprised 6- to 17-year-old children (n = 561) with asthma and rhinitis from 9 US inner cities who were evaluated every 2 months for 1 year. Asthma severity was measured by a longitudinal composite assessment of day and night symptoms, exacerbations, and controller usage.ResultsOur conceptual model explained 53.4% of the variance in asthma severity. An allergy pathway (linking allergen sensitization, allergic inflammation, pulmonary physiology, and rhinitis severity domains to asthma severity) and the ETS exposure pathway (linking ETS exposure and pulmonary physiology domains to asthma severity) exerted significant effects on asthma severity. Among the domains, pulmonary physiology and rhinitis severity had the largest significant standardized total effects on asthma severity (-0.51 and 0.48, respectively), followed by ETS exposure (0.30) and allergic inflammation (0.22). Although vitamin D had modest but significant indirect effects on asthma severity, its total effect was insignificant (0.01).ConclusionsThe standardized effect sizes generated by a causal network analysis quantify the relative contributions of different domains and can be used to prioritize interventions to address asthma severity.

Dataset Information

Improving Care of Inner-City Children with Poorly Controlled Asthma: What Mothers Want You to Know.

Publications

Improving Care of Inner-City Children with Poorly Controlled Asthma: What Mothers Want You to Know.

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