RESUMO
LAY ABSTRACT: Primary care providers often screen for autism during well child visits in the first few years of life and refer children for diagnostic evaluations when needed. However, most children do not receive a diagnosis until years later which delays access to services. Racism, socioeconomic status, and other systemic inequalities that limit access to health care further delay diagnostic evaluations. Mental health clinicians who work in primary care clinics can help address barriers to accessing diagnostic evaluation services once they are recommended by their primary care provider. However, mental health clinicians who work in primary care typically do not have training in diagnosing autism. The goal of this study was to evaluate a program training mental health professionals working in an urban primary care setting, primarily serving Black and Latinx families insured by Medicaid, to provide autism diagnostic evaluations. Two hundred and fifty children completed evaluations through the Autism in Primary Care (APC) program. The wait time to access an evaluation through APC was significantly shorter than through standard avenues of care (e.g. referring to a separate autism clinic). Referring primary care providers and caregivers endorsed high levels of satisfaction with the program. Conducting autism evaluations in primary care settings offers a promising opportunity to improve earlier diagnosis and treatment access for families, reduce inequities in care, and increase caregiver and child well-being.
RESUMO
When humans navigate through complex environments, they coordinate gaze and steering to sample the visual information needed to guide movement. Gaze and steering behavior have been extensively studied in the context of automobile driving along a winding road, leading to accounts of movement along well-defined paths over flat, obstacle-free surfaces. However, humans are also capable of visually guiding self-motion in environments that are cluttered with obstacles and lack an explicit path. An extreme example of such behavior occurs during first-person view drone racing, in which pilots maneuver at high speeds through a dense forest. In this study, we explored the gaze and steering behavior of skilled drone pilots. Subjects guided a simulated quadcopter along a racecourse embedded within a custom-designed forest-like virtual environment. The environment was viewed through a head-mounted display equipped with an eye tracker to record gaze behavior. In two experiments, subjects performed the task in multiple conditions that varied in terms of the presence of obstacles (trees), waypoints (hoops to fly through), and a path to follow. Subjects often looked in the general direction of things that they wanted to steer toward, but gaze fell on nearby objects and surfaces more often than on the actual path or hoops. Nevertheless, subjects were able to perform the task successfully, steering at high speeds while remaining on the path, passing through hoops, and avoiding collisions. In conditions that contained hoops, subjects adapted how they approached the most immediate hoop in anticipation of the position of the subsequent hoop. Taken together, these findings challenge existing models of steering that assume that steering is tightly coupled to where actors look. We consider the study's broader implications as well as limitations, including the focus on a small sample of highly skilled subjects and inherent noise in measurement of gaze direction.
