Browsing by Author "Martin, Ann Marie"

Now showing 1 - 4 of 4
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    Diagnostic Accuracy of Primary Care Clinicians Across a Statewide System of Autism Evaluation
    (American Academy of Pediatrics, 2023) McNally Keehn, Rebecca; Swigonski, Nancy; Enneking, Brett; Ryan, Tybytha; Monahan, Patrick; Martin, Ann Marie; Hamrick, Lisa; Kadlaskar, Girija; Paxton, Angela; Ciccarelli, Mary; Keehn, Brandon; Pediatrics, School of Medicine
    Objectives: To evaluate the diagnostic accuracy of the Early Autism Evaluation (EAE) Hub system, a statewide network that provides specialized training and collaborative support to community primary care providers in the diagnosis of young children at risk for autism spectrum disorder (ASD). Methods: EAE Hub clinicians referred children, aged 14 to 48 months, to this prospective diagnostic study for blinded follow-up expert evaluation including assessment of developmental level, adaptive behavior, and ASD symptom severity. The primary outcome was agreement on categorical ASD diagnosis between EAE Hub clinician (index diagnosis) and ASD expert (reference standard). Results: Among 126 children (mean age: 2.6 years; 77% male; 14% Latinx; 66% non-Latinx white), 82% (n = 103) had consistent ASD outcomes between the index and reference evaluation. Sensitivity was 81.5%, specificity was 82.4%, positive predictive value was 92.6%, and negative predictive value was 62.2%. There was no difference in accuracy by EAE Hub clinician or site. Across measures of development, there were significant differences between true positive and false negative (FN) cases (all Ps < .001; Cohen's d = 1.1-1.4), with true positive cases evidencing greater impairment. Conclusions: Community-based primary care clinicians who receive specialty training can make accurate ASD diagnoses in most cases. Diagnostic disagreements were predominately FN cases in which EAE Hub clinicians had difficulty differentiating ASD and global developmental delay. FN cases were associated with a differential diagnostic and phenotypic profile. This research has significant implications for the development of future population health solutions that address ASD diagnostic delays.
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    Evaluation of Race and Ethnicity Across a Statewide System of Early Autism Evaluation
    (Elsevier, 2023-03) Martin, Ann Marie; Ciccarelli, Mary R.; Swigonski, Nancy; McNally Keehn, Rebecca; Pediatrics, School of Medicine
    We evaluated racial and ethnic disparities across the Early Autism Evaluation Hub system, a statewide network for autism diagnosis. Our findings suggest that this system has the potential to reduce longstanding disparities in autism spectrum disorder diagnosis for children from racial and ethnic minority backgrounds.
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    Examining the Impact of COVID-19 on Education and Service Access for Diverse Families of Young Children With and Without Developmental Delays
    (Sage, 2023) Martin, Ann Marie; McIntyre, Laura Lee; Neece, Cameron; Pediatrics, School of Medicine
    The rapid transition to virtual learning due to the COVID-19 pandemic created unprecedented challenges that significantly impacted caregivers of young children, particularly those with developmental delays and children from non-English speaking households (Valicenti-McDermott et al., 2022). The current study aims to describe caregivers’ concerns regarding the COVID-19 pandemic in general and specific educational concerns following school closures, and to determine whether their concerns varied as a function of whether the child had a developmental delay or the parent's ethnicity. Results revealed that caregivers of children with DD endorsed a greater number of general and education-specific COVID-19 concerns compared to caregivers of TD children, and non-Latinx caregivers of children with DD reported more general COVID-19 concerns compared to Latinx caregivers of children with DD. With respect to education-specific concerns, caregivers of children with DD reported a greater impact from the loss and/or delay of services and reported feeling significantly less capable of conducting educational activities in the home compared to caregivers of TD children. However, almost all caregivers in the study endorsed some level of stress from remote instruction. These findings suggest there is a specific need for attention to caregiver mental health and an examination of long-term educational outcomes resulting from extended school closures during the COVID-19 pandemic.
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    Mixed Methods Analysis of Caregiver Satisfaction With the Early Autism Evaluation Hub System
    (Sage, 2024-12-12) Martin, Ann Marie; Huskins, Jordan; Paxton, Angela; Nafiseh, Amira; Ciccarelli, Mary R.; Keehn, Brandon; McNally Keehn, Rebecca; Pediatrics, School of Medicine
    Community-based methods for autism evaluation may be one solution for ameliorating delays in diagnosis, which are exacerbated for children from minoritized backgrounds. However, limited research has examined caregiver satisfaction with community-based models of autism evaluation. Thus, our objective was to use a mixed-methods approach to investigate caregiver satisfaction with their child's autism evaluation conducted across a statewide system of primary care autism diagnosis. Results indicated overall high satisfaction and no significant differences were found between satisfaction total scores nor caregiver stress and any child/family demographic variables. Satisfaction and stress were also not related to autism diagnostic outcome, clinician diagnostic certainty, or diagnostic accuracy. Qualitative suggestions for evaluation improvement include more thorough explanation of diagnosis and service recommendations. Overall, our findings indicate high caregiver satisfaction with multiple dimensions of community-based autism evaluation in the primary care setting, suggesting this may be a feasible and sustainable model that caregivers find acceptable.