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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Format: | Article |
Language: | English |
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MDPI AG
2019-02-01
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Series: | Diseases |
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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’ 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 (β = 5.8, 95% CI: 3.5⁻8.1 [<i>p</i> < 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. |
first_indexed | 2024-12-14T14:29:32Z |
format | Article |
id | doaj.art-2548afc567024ad08fa476aaca316a6a |
institution | Directory Open Access Journal |
issn | 2079-9721 |
language | English |
last_indexed | 2024-12-14T14:29:32Z |
publishDate | 2019-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Diseases |
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’ 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 (β = 5.8, 95% CI: 3.5⁻8.1 [<i>p</i> < 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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