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Event Related Potentials (ERPs) and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder (ADHD)
10:02

Event Related Potentials (ERPs) and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder (ADHD)

Published on: March 12, 2020

Electronic health record decision support and quality of care for children with ADHD

John Patrick T Co1, Sarah A Johnson, Eric G Poon

  • 1Center for Child and Adolescent Health Policy, Mass General Hospital for Children, Boston, MA 02114, USA. jco@partners.org

Pediatrics
|July 21, 2010
PubMed

Insights

Electronic health record (EHR) decision support improved care for children with attention-deficit/hyperactivity disorder (ADHD). It increased ADHD assessments and enhanced documentation of symptoms and treatment effectiveness.

Area of Science:

  • Pediatric primary care
  • Clinical informatics
  • Child mental health

Background:

  • Attention-deficit/hyperactivity disorder (ADHD) requires ongoing management and documentation in pediatric primary care.
  • Electronic Health Records (EHRs) offer potential for decision support to improve ADHD care.
  • Current EHR systems may not fully optimize the management and documentation of ADHD.

Purpose of the Study:

  • To evaluate the impact of EHR decision support on physician management and documentation for pediatric ADHD care.
  • To assess if clinician reminders and structured note templates improve ADHD assessment frequency and documentation quality.

Main Methods:

  • A cluster randomized trial involving 79 pediatricians across 12 practices.
  • Intervention included EHR-based clinician reminders for ADHD symptom assessment and an ADHD note template.
  • Outcome measures focused on the proportion of children with ADHD assessments and the quality of documentation.

Main Results:

  • Children in intervention groups were more likely to have ADHD assessments during the study period.
  • The ADHD note template was utilized in 32% of ADHD-specific visits.
  • Template use correlated with improved documentation of ADHD symptoms, treatment effectiveness, and adverse effects.

Conclusions:

  • EHR decision support enhances the likelihood of ADHD assessments and improves care management for children.
  • Optimizing provider utilization of EHR decision support tools can further advance ADHD care quality.
  • This study highlights the potential of integrated EHR tools in managing chronic pediatric conditions like ADHD.
Abstract

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