The statements and opinions expressed in COVID-19 Curbside Consults are based on experience and the available literature as of the date posted. While we try to regularly update this content, any offered recommendations cannot be substituted for the clinical judgment of clinicians caring for individual patients. ABSTRACT Cleveland Clinic recognized the importance of mitigating community transmission of COVID-19 by keeping people at home. Patient-care activities quickly pivoted to remote touches, preserving continuity through a variety of digital and telephonic modalities. As the number of confi rmed cases grew, standardizing home-based care became critical to managing high-risk patients, moderating the risk of exposure for healthcare workers, and reducing the amount of community spread through appropriate education on home-based care for exposed or infected individuals. This novel, team-based approach to caring for patients with COVID-19 incorporates a self-monitoring app for patient engagement, monitors symptoms for early intervention, and promotes a holistic view of care.

Objective Abnormal eye gaze is a hallmark characteristic of autism spectrum disorder (ASD), and numerous studies have identified abnormal attention patterns in ASD. The primary aim of the present study was to create an objective, eye tracking-based autism risk index. Method In initial and replication studies, children were recruited after referral for comprehensive multidisciplinary evaluation of ASD and subsequently grouped by clinical consensus diagnosis (ASD n=25/15, non-ASD n=20/19 for initial/replication samples). Remote eye tracking was blinded to diagnosis and included multiple stimuli. Dwell times were recorded to each a priori-defined region-of-interest (ROI) and averaged across ROIs to create an autism risk index. Receiver operating characteristic curve analyses examined classification accuracy. Correlations with clinical measures evaluated whether the autism risk index was associated with autism symptom severity independent of language ability. Results In both samples, the autism risk index had high diagnostic accuracy (area under the curve [AUC]=.91 and .85, 95%CIs=.81–.98 and .71–.96), was strongly associated with Autism Diagnostic Observation Schedule–Second Edition (ADOS-2) severity scores (r=.58 and .59, p<.001), and not significantly correlated with language ability (r≤|−.28|, p>.095). Conclusion The autism risk index may be a useful quantitative and objective measure of risk for autism in at-risk settings. Future research in larger samples is needed to cross-validate these findings. If a validated scale for clinical use, this measure could inform clinical judgment regarding ASD diagnosis and track symptom improvements.

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In today's changing medical climate, physicians need to treat attention-deficit/hyperactivity disorder (ADHD) better and more cost-effectively. The authors review recommendations supported by recent research and offer simple practices that integrate medicine and behavioral health for patients with ADHD.

Asthma care can be improved by supporting practice change through statewide QI learning collaboratives.