ArticlePediatric quality & safety
Transforming an Autism Pediatric Research Network into a Learning Health System: Lessons Learned.
Article in Pediatric quality & safety. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05916339 (Comparative Effectiveness of Pharmacologic Management of ADHD in Children and Youth With Autism Spectrum Disorder), which is not on this map. Cited by 8 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Comparative Effectiveness of Pharmacologic Management of ADHD in Children and Youth With Autism Spectrum Disorder
Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Building a learning health care community in rural and remote areas: a systematic review.BMC health services research · 2024Pooled it
- Implementation strategies and outcome measures for advancing learning health systems: a mixed methods systematic review.Health research policy and systems · 2023Pooled it
- Community Provider Perspectives on an Autism Learning Health Network: A Qualitative Study.Journal of autism and developmental disorders · 2026Article
- The role of patients, caregivers, and communities in Learning Health Systems: a narrative review.Frontiers in health services · 2025Review
- Development and implementation of measurement-based care for children and youth with complex mental and neurodevelopmental needs: early experiences from Ontario's Extensive Needs Service.Frontiers in psychiatry · 2025Article
- Using a Rapid Learning Health System for Stratified Care in Emerging Adult Mental Health Services: Protocol for the Implementation of Patient-Reported Outcome Measures.JMIR research protocols · 2024Article
- Establishing a Cystic Fibrosis Learning Network: Interventions to promote collaboration and data-driven improvement at scale.Learning health systems · 2023Article
- Transforming into a Learning Health System: A Quality Improvement Initiative.Pediatric quality & safetyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe 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.
methodsDesign 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.
resultsWe 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.
conclusionsTransitioning 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.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.