Potential outcomes of various treatments play a proximal role in patients' and families' decisions for ADHD treatment. Because the majority of studies focus on medication treatments for children with ADHD, more research is necessary to understand preferences related to behavioral and other psychosocial treatments both as stand-alone interventions and used in combination with medication. Additional research is also needed to assess the treatment preferences of adults with ADHD. In general, DCE, BWS, and SGI methods allow measurement of patient preferences in a manner that approximates the uncertainty and trade-offs inherent in real-world treatment decision making and provides valuable information to inform patient-centered and family-centered treatment.

Reward processing has been implicated in developmental disorders. However, the classic task to probe reward anticipation, the monetary incentive delay task, has an abstract coding of reward and no storyline and may therefore be less appropriate for use with developmental populations. We modified the task to create a version appropriate for use with children. We investigated whether this child-friendly version could elicit ventral striatal activation during reward anticipation in typically developing children and young adolescents (aged 9.5–14.5). In addition, we tested whether our performance-based measure of reward sensitivity was associated with anticipatory activity in ventral striatum. Reward anticipation was related to activity in bilateral ventral striatum. Moreover, we found an association between individual reward sensitivity and activity in ventral striatum. We conclude that this task assesses ventral striatal activity in a child-friendly paradigm. The combination with a performance-based measure of reward sensitivity potentially makes the task a powerful tool for developmental imaging studies of reward processing.

There is nationwide concern that the abrupt transition to remote instruction in response to the Coronavirus disease (COVID-19) pandemic will have detrimental impacts on student learning. As a uniquely vulnerable group within schools, students with disabilities like attention deficit hyperactivity disorder (ADHD) may be at enhanced risk for these negative outcomes. The present study features a unique examination of achievement scores, collected for two Cohorts (2018Cohorts ( -2019Cohorts ( , 2019Cohorts ( -2020 of students with ADHD. By collecting achievement data in both the fall and spring for each Cohort, direct comparisons between changes in achievement for Cohort One (2018-2019) can be made to those in Cohort Two (2019-2020). Analyses summarized remote learning practices, within-group changes in achievement data over time for Cohort Two, and between-group differences in score changes over time for Cohorts One and Two. Teachers used a variety of remote learning approaches, including videoconferencing and independently completed assignments. Student achievement scores in both Cohorts significantly improved from fall to spring. No significant differences were found in score growth between the Cohorts, indicating that the move to remote instruction did not have a differentially negative impact on Cohort Two. Implications focus on the promise of well-delivered remote instruction, and the need to examine individual factors (such as poor internet access) that may exacerbate the risk of students with disabilities receiving remote instruction. Impact and ImplicationsThere is nationwide concern that the rapid move to remote instruction during the COVID-19 pandemic will have long-lasting negative impacts on our youth. This study demonstrated that children with attention and behavioral difficulties did not show a substantial decrease in academic achievement following three to 4 months of remote instruction. These results present the short-term impact of remote instruction; future work must address whether continuing to deliver school remotely impacts students with disabilities.

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The growth of school-based initiatives incorporating multitiered systems of support (MTSS) for social, emotional, and behavioral domains has fueled interest in behavioral assessment. These assessments are foundational to determining risk for behavioral difficulties, yet research to date has been limited with regard to when and how often to administer them. The present study evaluated these questions within the framework of behavioral stability and examined the extent to which behavior is stable when measured by two school-based behavioral assessments: the Direct Behavior Rating-Single-Item Scales (DBR-SIS), and the Behavioral and Emotional Screening System (BESS). Participants included 451 students rated three times per year across 4 years, with the primary teacher from each year providing the within-year ratings. Latent variable models were employed to measure the constructs underlying the observed assessment scores. Models demonstrated that the DBR-SIS best captured changes within the year, whereas the BESS scores remained stable across time points within a year. Across years, scores from both assessments captured changes. The unique contributions of each assessment in the data-based decision-making process are discussed, and recommendations are given for their combined use within and across school years. Public Significance StatementSchools are increasingly tasked with using assessments to evaluate risk and monitor progress for students with behavioral concerns. This study discusses two measures and how often they should be used throughout the year to best inform data-based decision-making.