Improving Behavior Challenges and Quality of Life in the Autism Learning Health Network.

OBJECTIVES: To summarize baseline data and lessons learned from the Autism Learning Health Network, designed to improve care and outcomes for children with autism spectrum disorder (ASD). We describe challenging behaviors, co-occurring medical conditions, quality of life (QoL), receipt of recommended health services, and next steps. METHODS: A cross-sectional study of children 3 to 12 years old with ASD receiving care at 13 sites. Parent-reported characteristics of children with ASD were collected as outcome measures aligned with our network's aims of reducing rates of challenging behaviors, improving QoL, and ensuring receipt of recommended health services. Parents completed a survey about behavioral challenges, co-occurring conditions, health services, and the Patient-Reported Outcomes Measurement Information System Global Health Measure and the Aberrant Behavior Checklist to assess QoL and behavior symptoms, respectively. RESULTS: Analysis included 530 children. Challenging behaviors were reported by the majority of parents (93%), frequently noting attention-deficit/hyperactivity disorder symptoms, irritability, and anxiety. Mean (SD) scores on the Aberrant Behavior Checklist hyperactivity and irritability subscales were 17.9 (10.5) and 13.5 (9.2), respectively. The Patient-Reported Outcomes Measurement Information System Global Health Measure total score of 23.6 (3.7) was lower than scores reported in a general pediatric population. Most children had received recommended well-child (94%) and dental (85%) care in the past 12 months. CONCLUSIONS: This baseline data (1) affirmed the focus on addressing challenging behaviors; (2) prioritized 3 behavior domains, that of attention-deficit/hyperactivity disorder, irritability, and anxiety; and (3) identified targets for reducing severity of behaviors and strategies to improve data collection.

Transforming an Autism Pediatric Research Network into a Learning Health System: Lessons Learned.

INTRODUCTION: The Autism Speaks Autism Treatment Network that serves as the Autism Intervention and Research Network on Physical Health (ATN/AIR-P) has a mission to improve the health and well-being of children with Autism Spectrum Disorder and determine the best practices that lead to improved outcomes and expedite the translation of findings to practice. To better achieve this mission, the ATN/AIR-P is engaging in a design process to transition to a Learning Network (LN), the Autism Learning Health Network. The purpose of this paper is to: (1) make the medical and patient communities aware of an Autism LN that is based on the Institute of Medicine's definition of a Learning Health System; (2) describe how and why the ATN/AIR-P transformed to an LN; and (3) share lessons learned that might inform the transition of future existing networks surrounding other conditions. METHODS: Design methods included: an in-person design session with various stakeholders, the development of a Key Driver Diagram and redesign of organizational processes, network governance, and data collection and analytics. RESULTS: We realized many benefits in making the transition to an LN along with many lessons that can inform the design and implementation of the LN model when transforming existing networks to learning health systems. CONCLUSIONS: Transitioning a well-established research network requires a complex redesign of existing processes, data infrastructure, and cultural shifts compared with developing a new LN. We identified factors that may inform the transition of future established networks to expedite the process.