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Objectives: 1) To assess continuity of care (CoC) within primary-care practices for children with asthma and autism spectrum disorder (ASD) compared to children without chronic conditions, and 2) to determine patient and clinical-care factors associated with CoC., Methods: Retrospective cohort study of electronic health records from office visits of children <9 years, seen ≥4 times between 2015 and 2019 in 10 practices of a community-based primary health care network in California. Three cohorts were constructed: 1) Asthma: ≥2 visits with asthma visit diagnoses; 2) ASD: same method; 3) Controls: no chronic conditions. CoC, using Usual Provider of Care measure (range > 0-1), was calculated for 1) all visits (overall) and 2) well-care visits. Fractional regression models examined CoC adjusting for patient age, medical insurance, practice affiliation, and number of visits., Results: Of 30,678 children, 1875 (6.1%) were classified with Asthma, 294 (1.0%) with ASD, and 15,465 (50.4%) as Controls. Overall CoC was lower for Asthma (Mean = 0.58, SD 0.21) and ASD (M = 0.57, SD = 0.20) than Controls (M = 0.66, SD = 0.21); differences in well-care CoC were minimal. In regression models, lower overall CoC was found for Asthma (aOR = 0.90, 95% CI, 0.85-0.94). Lower overall and well-care CoC were associated with public insurance (aOR = 0.77, CI, 0.74-0.81; aOR = 0.64, CI, 0.59-0.69)., Conclusion: After accounting for patient and clinical-care factors, children with asthma, but not with ASD, in this primary-care network had significantly lower CoC compared to children without chronic conditions. Public insurance was the most prominent patient factor associated with low CoC, emphasizing the need to address disparities in CoC., (Copyright © 2022 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.)

Objective: To determine the percentage of children with autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), and combined ASD + ADHD who had sleep problems documented by developmental-behavioral pediatricians at diagnostic and follow-up visits at 12 US academic medical centers comprising the Developmental-Behavioral Pediatrics Research Network (DBPNet) and to identify the predictors of sleep problem documentation., Methods: Developmental-behavioral pediatricians completed encounter forms that covered sociodemographic, medical, clinician, and visit factors. There was 1 dependent variable, sleep problem documentation, for which 4 definitions were developed (Model 1 = Sleep Disorder coded; Model 2 = Sleep Disorder or polysomnogram coded; Model 3 = Sleep Disorder, polysomnogram, or sleep medication coded; and Model 4 = Sleep Disorder, polysomnogram, sleep medication, or clonidine coded)., Results: Sleep problem documentation was 14.1% for Model 1, 15.2% for Model 2, 17.3% for Model 3, and 19.7% for Model 4. All values were lower (p < 0.001) than the reported prevalence of sleep problems in these conditions. For Model 4, predictors of sleep problem documentation were age group, ethnicity, medical insurance type, and DBPNet site., Conclusion: Developmental-behavioral pediatricians in DBPNet under-reported sleep problems in children with ASD and ADHD. Variation among sites was substantial. Care plans for children with ASD and ADHD should specify which treating clinician(s) monitors sleep issues.

Objectives: Assess differences in parent-reported shared decision making (SDM) based on diagnostic group in a national sample of children with neurodevelopmental disorders (autism spectrum disorder [ASD], cerebral palsy [CP], or Down syndrome [DS]). Assess contribution of medical home and child functional impairment., Methods: Secondary analysis of 2009 to 2010 National Survey of Children with Special Health Care Needs explored reports of 3966 children with ASD, CP, or DS. SDM was defined categorically (SDMcat, present or absent) and continuously (SDMcont, score range 0-12). Regression models were adjusted for child/family characteristics, medical home, functional impairment, and diagnostic group., Results: SDMcat and SDMcont were significantly lower in the ASD group (56.7% [95% confidence interval = CI, 53.4-59.9] and mean 8.7 [95% CI, 8.5-9.0]), compared with the CP group (70.5% [95% CI, 63.4-76.7] and mean 9.7 [95% CI, 9.3-10.1]), or the DS group (70.8% [95% CI, 61.2-78.8] and mean 10.0 [95% CI, 9.5-10.4]). In adjusted analyses of SDMcat and SDMcont, SDM was more likely among children with a medical home (adjusted odds ratio 6.6, p < .001, mean = 11.9, and p < .001), and less likely for children with greatest functional impairment (adjusted odds ratio 0.4, p = .002, mean = 10.1, and p = .001). Adjusted analysis of SDMcont also showed differences based on diagnostic group with lower SDMcont scores in the ASD group (mean = 10.1 and p = .005) compared with the DS group., Conclusion: A medical home was associated with higher SDM, whereas greater functional impairment and ASD diagnosis were associated with lower SDM.