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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473761/ https://www.ncbi.nlm.nih.gov/pubmed/30736492 http://dx.doi.org/10.3390/diseases7010020 |
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author | Oppenheimer, Julia Ojo, Oluwafemi Antonetty, Annalee Chiujdea, Madeline Garcia, Stephanie Weas, Sarah Loddenkemper, Tobias Fleegler, Eric Chan, Eugenia |
author_facet | Oppenheimer, Julia Ojo, Oluwafemi Antonetty, Annalee Chiujdea, Madeline Garcia, Stephanie Weas, Sarah Loddenkemper, Tobias Fleegler, Eric Chan, Eugenia |
author_sort | Oppenheimer, Julia |
collection | PubMed |
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 [p < 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. |
format | Online Article Text |
id | pubmed-6473761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64737612019-04-29 Timely Interventions for Children with ADHD through Web-Based Monitoring Algorithms Oppenheimer, Julia Ojo, Oluwafemi Antonetty, Annalee Chiujdea, Madeline Garcia, Stephanie Weas, Sarah Loddenkemper, Tobias Fleegler, Eric Chan, Eugenia Diseases Article 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 [p < 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. MDPI 2019-02-07 /pmc/articles/PMC6473761/ /pubmed/30736492 http://dx.doi.org/10.3390/diseases7010020 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Oppenheimer, Julia Ojo, Oluwafemi Antonetty, Annalee Chiujdea, Madeline Garcia, Stephanie Weas, Sarah Loddenkemper, Tobias Fleegler, Eric Chan, Eugenia Timely Interventions for Children with ADHD through Web-Based Monitoring Algorithms |
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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473761/ https://www.ncbi.nlm.nih.gov/pubmed/30736492 http://dx.doi.org/10.3390/diseases7010020 |
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