Evidence map›Paper›PMID 30736492›Full record

ArticleDiseases (Basel, Switzerland)2019

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

Julia Oppenheimer, Oluwafemi Ojo, Annalee Antonetty, Madeline Chiujdea, Stephanie Garcia, Sarah Weas, Tobias Loddenkemper, Eric Fleegler, Eugenia Chan

Open access · goldAbstract read
In one paragraph

Article in Diseases (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
1 · What the graph read from 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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Julia OppenheimerDepartment of Neurology, Boston Children's Hospital, Boston, MA 02115, USA. julia.oppenheimer@umassmed.edu.
Oluwafemi OjoDepartment of Neurology, Boston Children's Hospital, Boston, MA 02115, USA. william.femi@gmail.com.
Annalee AntonettyDepartment of Neurology, Boston Children's Hospital, Boston, MA 02115, USA. annalee.antonetty@childrens.harvard.edu.
Madeline ChiujdeaDepartment of Neurology, Boston Children's Hospital, Boston, MA 02115, USA. madeline.chiujdea@childrens.harvard.edu.
Stephanie GarciaDepartment of Neurology, Boston Children's Hospital, Boston, MA 02115, USA. sgarcia7@pride.hofstra.edu.
Sarah WeasDivision of Developmental Medicine, Boston Children's Hospital, Boston, MA 02115, USA. sarah.weas@childrens.harvard.edu.
Tobias LoddenkemperDepartment of Neurology, Boston Children's Hospital, Boston, MA 02115, USA. tobias.loddenkemper@childrens.harvard.edu.
Eric FleeglerDivision of Emergency Medicine, Boston Children's Hospital, Boston, MA 02115, USA. eric.fleegler@childrens.harvard.edu.
Eugenia ChanDivision of Developmental Medicine, Boston Children's Hospital, Boston, MA 02115, USA. eugenia.chan@childrens.harvard.edu.
Boston Children's Hospital · USHarvard University · US

Funding

DMC Philanthropy 94403PPSQ 52021Provider Payor Quality Initiative 52012Richard and Susan Smith Family Foundation 95454
6 · The paper itself

Abstract

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 [

Indexed as

ADHDalertsalgorithmcare planparent reportstriggerVanderbilt rating scale

Identifiers

PMID30736492
PMCPMC6473761
OpenAlexW2914209493

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.