Evidence map›Paper›PMID 38065280›Full record

Trial reportThe Journal of pediatrics2024

Effect of the Telemedicine Enhanced Asthma Management Through the Emergency Department (TEAM-ED) Program on Asthma Morbidity: A Randomized Controlled Trial.

Jill S Halterman, Maria Fagnano, Paul Tremblay, Arlene Butz, Tamara T Perry, Hongyue Wang

Registry-linked trialOpen access · greenAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in The Journal of pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02752165 (Telemedicine Enhanced Asthma Management Through the Emergency Department), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 13% 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.

NCT02752165 nacompletednot on this map

Telemedicine Enhanced Asthma Management Through the Emergency Department

TypeinterventionalSponsorUniversity of RochesterRan2016 to 2022Enrolled384ConditionsAsthmaArmsTEAM-ED, Enhanced Usual Care
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Optimizing adherence to medication to improve outcomes in asthma.Current opinion in pulmonary medicine · 2025
    Review
  3. 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

6 authors at 3 institutions in 1 country.

Jill S HaltermanDepartment of Pediatrics, University of Rochester School of Medicine and Dentistry, Rochester, NY. Electronic address: Jill_halterman@urmc.rochester.edu.
Maria FagnanoDepartment of Pediatrics, University of Rochester School of Medicine and Dentistry, Rochester, NY.
Paul TremblayDepartment of Pediatrics, University of Rochester School of Medicine and Dentistry, Rochester, NY.
Arlene ButzDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD.
Tamara T PerryDepartment of Pediatrics, University of Arkansas for Medical Sciences College of Medicine and Arkansas Children's Research Institute, Little Rock, AK.
Hongyue WangDepartment of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY.
University of Rochester · USJohns Hopkins Medicine · USUniversity of Arkansas for Medical Sciences · US

Funding

VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Martha Susiarjo · 1985 to 2026
$42.8M
Telemedicine Enhanced Asthma Management through the Emergency Department (TEAM-ED)R01HL091835 · NHLBI · UNIVERSITY OF ROCHESTER · PI HALTERMAN, JILL S · 2009 to 2020
$7.3M
NHLBI NIH HHS R01 HL091835NIEHS NIH HHS P30 ES001247
6 · The paper itself

Abstract

objectiveTo test the effectiveness of a telemedicine-based program in reducing asthma morbidity among children who present to the emergency department (ED) for asthma, by facilitating primary care follow-up and promoting delivery of guideline-based care. STUDY

designWe included children (3-12 years of age) with persistent asthma who presented to the ED for asthma, who were then randomly assigned to Telemedicine Enhanced Asthma Management through the Emergency Department (TEAM-ED) or enhanced usual care. TEAM-ED included (1) school-based telemedicine follow-ups, completed by a primary care provider, (2) point-of-care prompting to promote guideline-based care, and 3) an opportunity for 2 additional telemedicine follow-ups. The primary outcome was the mean number of symptom-free days (SFDs) over 2 weeks at 3, 6, 9, and 12 months.

resultsWe included 373 children from 2016 through 2021 (participation rate 68%; 54% Black, 32% Hispanic, 77% public insurance; mean age, 6.4 years). Demographic characteristics and asthma severity were similar between groups at baseline. Most (91%) TEAM-ED children had ≥1 telemedicine visit and 41% completed 3 visits. At 3 months, caregivers of children in TEAM-ED reported more follow-up visits (66% vs 48%; aOR, 2.07; 95% CI, 1.28-3.33), preventive asthma medication actions (90% vs 79%; aOR, 3.28; 95% CI, 1.56-6.89), and use of a preventive medication (82% vs 69%; aOR, 2.716; 95% CI, 1.45-5.08), compared with enhanced usual care. There was no difference between groups in medication adherence or asthma morbidity. When only prepandemic data were included, there was greater improvement in SFDs over time for children in TEAM-ED vs enhanced usual care.

conclusionsTEAM-ED significantly improved follow-up and preventive care after an ED visit for asthma. We also saw improved SFDs with prepandemic data. The lack of overall improvement in morbidity and adherence indicates the need for additional ongoing management support.

trial registrationNCT02752165.

Indexed as

AsthmaTelemedicineChildEmergency Room VisitsEmergency Service, HospitalHumansMorbidityasthmachildemergency departmentpreventiontelemedicine

Identifiers

PMID38065280
PMCPMC10922928
OpenAlexW4389372686

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.