Timely Interventions for Children with ADHD through Web-Based Monitoring Algorithms

The aim of this study was to evaluate an automated trigger algorithm designed to detect potentially adverse events in children with Attention-Deficit/Hyperactivity Disorder (ADHD), who were monitored remotely between visits. We embedded a trigger algorithm derived from parent-reported ADHD rating sc...

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Main Authors: Julia Oppenheimer, Oluwafemi Ojo, Annalee Antonetty, Madeline Chiujdea, Stephanie Garcia, Sarah Weas, Tobias Loddenkemper, Eric Fleegler, Eugenia Chan
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Diseases
Subjects:
Online Access:https://www.mdpi.com/2079-9721/7/1/20
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author Julia Oppenheimer
Oluwafemi Ojo
Annalee Antonetty
Madeline Chiujdea
Stephanie Garcia
Sarah Weas
Tobias Loddenkemper
Eric Fleegler
Eugenia Chan
author_facet Julia Oppenheimer
Oluwafemi Ojo
Annalee Antonetty
Madeline Chiujdea
Stephanie Garcia
Sarah Weas
Tobias Loddenkemper
Eric Fleegler
Eugenia Chan
author_sort Julia Oppenheimer
collection DOAJ
description The aim of this study was to evaluate an automated trigger algorithm designed to detect potentially adverse events in children with Attention-Deficit/Hyperactivity Disorder (ADHD), who were monitored remotely between visits. We embedded a trigger algorithm derived from parent-reported ADHD rating scales within an electronic patient monitoring system. We categorized clinicians&#8217; alert resolution outcomes and compared Vanderbilt ADHD rating scale scores between patients who did or did not have triggered alerts. A total of 146 out of 1738 parent reports (8%) triggered alerts for 98 patients. One hundred and eleven alerts (76%) required immediate clinician review. Nurses successfully contacted parents for 68 (61%) of actionable alerts; 46% (31/68) led to a change in care plan prior to the next scheduled appointment. Compared to patients without alerts, patients with alerts demonstrated worsened ADHD severity (&#946; = 5.8, 95% CI: 3.5&#8315;8.1 [<i>p</i> &lt; 0.001] within 90 days prior to an alert. The trigger algorithm facilitated timely changes in the care plan in between face-to-face visits.
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spelling doaj.art-2548afc567024ad08fa476aaca316a6a2022-12-21T22:57:51ZengMDPI AGDiseases2079-97212019-02-01712010.3390/diseases7010020diseases7010020Timely Interventions for Children with ADHD through Web-Based Monitoring AlgorithmsJulia Oppenheimer0Oluwafemi Ojo1Annalee Antonetty2Madeline Chiujdea3Stephanie Garcia4Sarah Weas5Tobias Loddenkemper6Eric Fleegler7Eugenia Chan8Department of Neurology, Boston Children’s Hospital, Boston, MA 02115, USADepartment of Neurology, Boston Children’s Hospital, Boston, MA 02115, USADepartment of Neurology, Boston Children’s Hospital, Boston, MA 02115, USADepartment of Neurology, Boston Children’s Hospital, Boston, MA 02115, USADepartment of Neurology, Boston Children’s Hospital, Boston, MA 02115, USADivision of Developmental Medicine, Boston Children’s Hospital, Boston, MA 02115, USADepartment of Neurology, Boston Children’s Hospital, Boston, MA 02115, USADivision of Emergency Medicine, Boston Children’s Hospital, Boston, MA 02115, USADivision of Developmental Medicine, Boston Children’s Hospital, Boston, MA 02115, USAThe aim of this study was to evaluate an automated trigger algorithm designed to detect potentially adverse events in children with Attention-Deficit/Hyperactivity Disorder (ADHD), who were monitored remotely between visits. We embedded a trigger algorithm derived from parent-reported ADHD rating scales within an electronic patient monitoring system. We categorized clinicians&#8217; alert resolution outcomes and compared Vanderbilt ADHD rating scale scores between patients who did or did not have triggered alerts. A total of 146 out of 1738 parent reports (8%) triggered alerts for 98 patients. One hundred and eleven alerts (76%) required immediate clinician review. Nurses successfully contacted parents for 68 (61%) of actionable alerts; 46% (31/68) led to a change in care plan prior to the next scheduled appointment. Compared to patients without alerts, patients with alerts demonstrated worsened ADHD severity (&#946; = 5.8, 95% CI: 3.5&#8315;8.1 [<i>p</i> &lt; 0.001] within 90 days prior to an alert. The trigger algorithm facilitated timely changes in the care plan in between face-to-face visits.https://www.mdpi.com/2079-9721/7/1/20triggeralgorithmalertsADHDVanderbilt rating scaleparent reportscare plan
spellingShingle Julia Oppenheimer
Oluwafemi Ojo
Annalee Antonetty
Madeline Chiujdea
Stephanie Garcia
Sarah Weas
Tobias Loddenkemper
Eric Fleegler
Eugenia Chan
Timely Interventions for Children with ADHD through Web-Based Monitoring Algorithms
Diseases
trigger
algorithm
alerts
ADHD
Vanderbilt rating scale
parent reports
care plan
title Timely Interventions for Children with ADHD through Web-Based Monitoring Algorithms
title_full Timely Interventions for Children with ADHD through Web-Based Monitoring Algorithms
title_fullStr Timely Interventions for Children with ADHD through Web-Based Monitoring Algorithms
title_full_unstemmed Timely Interventions for Children with ADHD through Web-Based Monitoring Algorithms
title_short Timely Interventions for Children with ADHD through Web-Based Monitoring Algorithms
title_sort timely interventions for children with adhd through web based monitoring algorithms
topic trigger
algorithm
alerts
ADHD
Vanderbilt rating scale
parent reports
care plan
url https://www.mdpi.com/2079-9721/7/1/20
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