Evidence map›Paper›PMID 37394508›Full record

Trial reportPediatrics2023

Preliminary Reach of an Information Technology Approach to Support COVID-19 Testing in Schools.

Tammy K Stump, David W Wetter, Tatyana Kuzmenko, Brian Orleans, Leighann Kolp, Jennifer Wirth, Guilherme Del Fiol, Jonathan Chipman, Benjamin Haaland, Kimberly A Kaphingst and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Pediatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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

12 authors.

Tammy K StumpDepartments of Dermatology.
David W WetterPopulation Health Sciences.
Tatyana KuzmenkoBiomedical Informatics.
Brian OrleansPopulation Health Sciences.
Leighann KolpHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
Jennifer WirthPopulation Health Sciences.
Guilherme Del FiolBiomedical Informatics.
Jonathan ChipmanPopulation Health Sciences.
Benjamin HaalandHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
Kimberly A KaphingstCommunication.
Adam L HershPediatrics.
Yelena P WuDepartments of Dermatology.

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
CTSA UM1 Program at University of UtahUM1TR004409 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI RACHEL HESS, Jennifer Juhl Majersik · 2023 to 2026
$21.9M
SCALE-UP Counts: A health information technology approach to increasing COVID-19 testing in elementary and middle schools serving disadvantaged communitiesOT2HD108097 · NICHD · UNIVERSITY OF UTAH · PI WETTER, DAVID W, WU, YELENA PING · 2021 to 2022
$2.5M
NCATS NIH HHS UL1 TR002538NCATS NIH HHS UM1 TR004409NCI NIH HHS P30 CA042014NICHD NIH HHS OT2 HD108097
6 · The paper itself

Abstract

objectivesSCALE-UP Counts tests population health management interventions to promote coronavirus disease 2019 (COVID-19) testing in kindergarten through 12th-grade schools that serve populations that have been historically marginalized.

methodsWithin 6 participating schools, we identified 3506 unique parents/guardians who served as the primary contact for at least 1 student. Participants were randomized to text messaging (TM), text messaging + health navigation (HN) (TM + HN), or usual care. Bidirectional texts provided COVID-19 symptom screening, along with guidance on obtaining and using tests as appropriate. If parents/guardians in the TM + HN group were advised to test their child but either did not test or did not respond to texts, they were called by a trained health navigator to address barriers.

resultsParticipating schools served a student population that was 32.9% non-white and 15.4% Hispanic, with 49.6% of students eligible to receive free lunches. Overall, 98.8% of parents/guardians had a valid cell phone, of which 3.8% opted out. Among the 2323 parents/guardians included in the intervention, 79.6% (n = 1849) were randomized to receive TM, and 19.1% (n = 354) engaged with TM (ie, responded to at least 1 message). Within the TM + HN group (40.1%, n = 932), 1.3% (n = 12) qualified for HN at least once, of which 41.7% (n = 5) talked to a health navigator.

conclusionsTM and HN are feasible ways to reach parents/guardians of kindergarten through 12th-grade students to provide COVID-19 screening messages. Strategies to improve engagement may strengthen the impact of the intervention.

Indexed as

COVID-19Text MessagingChildCOVID-19 TestingHumansInformation TechnologySchools

Identifiers

PMID37394508
PMCPMC10312282

What OpenQuestion holds

Textmetadata
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.