Coordinated Health Care Interventions for Childhood Asthma Gaps in Outcomes (CHICAGO) plan.

Background: Evidence-based strategies to improve outcomes in minority children with uncontrolled asthma discharged from the emergency department (ED) are needed. Objectives: This multicenter pragmatic clinical trial was designed to compare an ED-only intervention (decision support tool), an ED-only intervention and home visits by community health workers for 6 months (ED-plus-home), and enhanced usual care (UC). Methods: Children aged 5 to 11 years with uncontrolled asthma were enrolled. The change over 6 months in the Patient-Reported Outcomes Measurement Information System Asthma Impact Scale score in children and Satisfaction with Participation in Social Roles score in caregivers were the primary outcomes. The secondary outcomes included guideline-recommended ED discharge care and self-management. Results: Recruitment was significantly lower than expected (373 vs 640 expected). Of the 373 children (64% Black and 31% Latino children), only 63% completed the 6-month follow-up visit. In multivariable analyses that accounted for missing data, the adjusted odds ratios and 98% CIs for differences in Asthma Impact Scores or caregivers' Satisfaction with Participation in Social Roles scores were not significant. However, guideline-recommended ED discharge care was significantly improved in the intervention groups versus in the UC group, and self-management behaviors were significantly improved in the ED-plus-home group versus in the ED-only and UC groups. Conclusions: The ED-based interventions did not significantly improve the primary clinical outcomes, although the study was likely underpowered. Although guideline-recommended ED discharge care and self-management did improve, their effect on clinical outcomes needs further study.

Shelter Characteristics, Infection Prevention Practices, and Universal Testing for SARS-CoV-2 at Homeless Shelters in 7 US Urban Areas.

Objectives. To examine shelter characteristics and infection prevention practices in relation to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection point prevalence during universal testing at homeless shelters in the United States.Methods. SARS-CoV-2 testing was offered to clients and staff at homeless shelters, irrespective of symptoms. Site assessments were conducted from March 30 to June 1, 2020, to collect information on shelter characteristics and infection prevention practices. We assessed the association between SARS-CoV-2 infection prevalence and shelter characteristics, including 20 infection prevention practices by using crude risk ratios (RRs) and exact unconditional 95% confidence intervals (CIs).Results. Site assessments and SARS-CoV-2 testing results were reported for 63 homeless shelters in 7 US urban areas. Median infection prevalence was 2.9% (range = 0%-71.4%). Shelters implementing head-to-toe sleeping and excluding symptomatic staff from working were less likely to have high infection prevalence (RR = 0.5; 95% CI = 0.3, 0.8; and RR = 0.5; 95% CI = 0.4, 0.6; respectively); shelters with medical services available were less likely to have very high infection prevalence (RR = 0.5; 95% CI = 0.2, 1.0).Conclusions. Sleeping arrangements and staffing policies are modifiable factors that might be associated with SARS-CoV-2 infection prevalence in homeless shelters. Shelters should follow recommended practices to reduce the risk of SARS-CoV-2 transmission.

Validation of a Machine Learning Model to Predict Childhood Lead Poisoning.

Importance: Childhood lead poisoning causes irreversible neurobehavioral deficits, but current practice is secondary prevention. Objective: To validate a machine learning (random forest) prediction model of elevated blood lead levels (EBLLs) by comparison with a parsimonious logistic regression. Design, Setting, and Participants: This prognostic study for temporal validation of multivariable prediction models used data from the Women, Infants, and Children (WIC) program of the Chicago Department of Public Health. Participants included a development cohort of children born from January 1, 2007, to December 31, 2012, and a validation WIC cohort born from January 1 to December 31, 2013. Blood lead levels were measured until December 31, 2018. Data were analyzed from January 1 to October 31, 2019. Exposures: Blood lead level test results; lead investigation findings; housing characteristics, permits, and violations; and demographic variables. Main Outcomes and Measures: Incident EBLL (≥6 µg/dL). Models were assessed using the area under the receiver operating characteristic curve (AUC) and confusion matrix metrics (positive predictive value, sensitivity, and specificity) at various thresholds. Results: Among 6812 children in the WIC validation cohort, 3451 (50.7%) were female, 3057 (44.9%) were Hispanic, 2804 (41.2%) were non-Hispanic Black, 458 (6.7%) were non-Hispanic White, and 442 (6.5%) were Asian (mean [SD] age, 5.5 [0.3] years). The median year of housing construction was 1919 (interquartile range, 1903-1948). Random forest AUC was 0.69 compared with 0.64 for logistic regression (difference, 0.05; 95% CI, 0.02-0.08). When predicting the 5% of children at highest risk to have EBLLs, random forest and logistic regression models had positive predictive values of 15.5% and 7.8%, respectively (difference, 7.7%; 95% CI, 3.7%-11.3%), sensitivity of 16.2% and 8.1%, respectively (difference, 8.1%; 95% CI, 3.9%-11.7%), and specificity of 95.5% and 95.1% (difference, 0.4%; 95% CI, 0.0%-0.7%). Conclusions and Relevance: The machine learning model outperformed regression in predicting childhood lead poisoning, especially in identifying children at highest risk. Such a model could be used to target the allocation of lead poisoning prevention resources to these children.

Design of a pragmatic trial in minority children presenting to the emergency department with uncontrolled asthma: The CHICAGO Plan.

Among children with asthma, black children are two to four times as likely to have an emergency department (ED) visit and die from asthma, respectively, compared to white children in the United States. Despite the availability of evidence-based asthma management guidelines, minority children are less likely than white children to receive or use effective options for asthma care. The CHICAGO Plan is a three-arm multi-center randomized pragmatic trial of children 5 to 11years old presenting to the ED with uncontrolled asthma that compares: [1] an ED-focused intervention to improve the quality of care on discharge to home, [2] the same ED-focused intervention together with a home-based community health worker (CHW)-led intervention, and [3] enhanced usual care. All children receive spacers for the metered dose inhaler and teaching about its use. The Patient-Reported Outcomes Measurement Information System (PROMIS) Asthma Impact Scale and Satisfaction with Participation in Social Roles at 6months are the primary outcomes in children and in caregivers, respectively. Other patient-reported outcomes and indicators of healthcare utilization are assessed as secondary outcomes. Innovative features of the CHICAGO Plan include early and continuous engagement of children, caregivers, the Chicago Department of Public Health, and other stakeholders to inform the design and implementation of the study and a shared research infrastructure to coordinate study activities. The objective of this report is to describe the development of the CHICAGO Plan, including the methods and rationale for engaging stakeholders, the shared research infrastructure, and other features of the pragmatic clinical trial design.

Use of insurance claims data to determine prevalence and confirm a cluster of sarcoidosis cases in Vermont.

OBJECTIVES: In 2006, the Vermont Department of Health was asked to respond to a potential cluster of sarcoidosis cases related to a Vermont office building. Sarcoidosis prevalence has not been formally described for the United States. A range of < 1-40/100,000 is commonly reported; however, we have not identified primary sources supporting this conclusion. Because of the wide prevalence range and lack of a local estimate, confirming existence of a cluster was difficult. METHODS: We ascertained the prevalence of sarcoidosis cases in Vermont by using insurance claims data to determine whether or not a cluster of sarcoidosis cases was related to the office building. We calculated county and state annual prevalence proportions for sarcoidosis for 2004 and 2005 and annual building prevalences for 1992-2006. RESULTS: The pooled sarcoidosis case prevalence for Vermont was 66.1/100,000. The pooled building annual prevalence (1,128/100,000) was statistically different from the county in which the building is located (odds ratio = 15.5, 95% confidence interval 3.0, 50.3). CONCLUSIONS: We reported the first statewide sarcoidosis prevalence in the United States. This prevalence exceeded previous limited and unsubstantiated U.S. reports. Even with Vermont's elevated sarcoidosis prevalence, the presence of a cluster in this building was apparent.