6 research outputs found

    EARLY PEANUT INTRODUCTION IN INFANTS TO PREVENT PEANUT ALLERGY: IMPROVING GUIDELINE ADHERENCE THROUGH EMR STANDARDIZATION

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    Background: Peanut allergy in children is a population health problem affecting individuals, families, and healthcare systems. Strong evidence from the Learning Early About Peanut (LEAP) study suggests that early peanut introduction (EPI) for infants after four months of age but before 12 months can reduce the risk of developing peanut allergy (Du Toit et al., 2015; Fleischer et al., 2021; Obbagy et al., 2019; Togias et al., 2017). The success of peanut allergy prevention in infants is highly dependent on primary care providers (PCPs) incorporating the addendum guidelines into routine well-child check (WCC) encounters (Bilaver et al., 2019; Lai & Sicherer, 2019). Addendum guidelines recommending EPI have not been widely adopted in primary care settings. The Children's Primary and Specialty Clinic at UNC had notably low adoption of the addendum guidelines for EPI.Methods: Using quality improvement (QI) methodology and the model for improvement, researchers developed and implemented a workflow protocol and clinical decision support (CDS) tools to improve guideline adherence through standardization. These tools, available in the electronic medical record (EMR), included smart lists, visit templates, and patient education handouts for home peanut introduction at 4, 6, and 9-month WCC encounters. Through plan-do-study-act (PDSA) cycles, the team executed changes and modifications to improve outcomes.Results: The team collected data from 292 WCC encounters during the QI project. EMR documentation of clinically appropriate EPI guidance at 4, 6, and 9-month WCCs shifted from a mean of 8.8% at baseline to 74.7% after 18 weeks of PDSA cycles (p<0.001). Mean provider adoption of smart lists and templates was 67.3%, and distribution of home peanut introduction handouts was 50.2% after 18 weeks of project implementation. There were no statistically significant changes in patient time-in-room (p=0.795). Rates of DTaP vaccination remained at 100% for 6M visits during the intervention. Conclusion: QI methodology, PDSA cycles, and interprofessional collaboration in primary care settings improved documentation of EPI guidance at routine WCC encounters without impacting other measures. Broader PCP use of bundled CDS tools and EMR standardization could further improve guideline adherence to prevent peanut allergy in infants.Doctor of Nursing Practic

    Racial/ethnic and Socioeconomic Differences in Screening Toddlers for Autism Spectrum Disorders Using the M-CHAT

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    Universal screening for autism spectrum disorder (ASD) is recommended to reduce disparities in timing of diagnosis. Early diagnosis of ASD has been associated with higher parent education and income in some studies, while others report that economically disadvantaged children and African American and Latino children are diagnosed later or not at all (Fombonne, 2003; Fountain, King, & Bearman, 2011; Liptak et al., 2008). A sample of 18,669 children was drawn from screening sites at the University of Connecticut (n = 9587, 51.4%) or Georgia State University (n = 9082, 48.6%). Socioeconomic status (SES) was estimated by Census Tract median income data. Participants included Majority group (White children; n= 6169) and the Minority group (all other racial/ethnic groups; n= 2789). There were small but significant disparities by race/ethnicity, controlling for income, in child age at M-CHAT screening, age at M-CHAT Follow-up Interview (FUI), and time from M-CHAT to FUI. African American and Latino children were older at screening and follow-up, but not evaluation, likely due to differential attrition. Minority and lower income children screened positive more frequently on certain screener items, including all reverse-scored items. Finally, positive predictive value (PPV) of the M-CHAT did not differ by race/ethnicity. In conclusion, standardized screening procedures employed in the current study largely eliminated disparities in screening, follow-up, and evaluation for ASD in toddlers. Item response patterns also differed by both race/ethnicity and SES, underscoring the need for support for parent understanding of M-CHAT items in pediatric practice

    Racial/ethnic and Socioeconomic Differences in Screening Toddlers for Autism Spectrum Disorders Using the M-CHAT

    Get PDF
    Universal screening for autism spectrum disorder (ASD) is recommended to reduce disparities in timing of diagnosis. Early diagnosis of ASD has been associated with higher parent education and income in some studies, while others report that economically disadvantaged children and African American and Latino children are diagnosed later or not at all (Fombonne, 2003; Fountain, King, & Bearman, 2011; Liptak et al., 2008). A sample of 18,669 children was drawn from screening sites at the University of Connecticut (n = 9587, 51.4%) or Georgia State University (n = 9082, 48.6%). Socioeconomic status (SES) was estimated by Census Tract median income data. Participants included Majority group (White children; n= 6169) and the Minority group (all other racial/ethnic groups; n= 2789). There were small but significant disparities by race/ethnicity, controlling for income, in child age at M-CHAT screening, age at M-CHAT Follow-up Interview (FUI), and time from M-CHAT to FUI. African American and Latino children were older at screening and follow-up, but not evaluation, likely due to differential attrition. Minority and lower income children screened positive more frequently on certain screener items, including all reverse-scored items. Finally, positive predictive value (PPV) of the M-CHAT did not differ by race/ethnicity. In conclusion, standardized screening procedures employed in the current study largely eliminated disparities in screening, follow-up, and evaluation for ASD in toddlers. Item response patterns also differed by both race/ethnicity and SES, underscoring the need for support for parent understanding of M-CHAT items in pediatric practice
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