Evidence map›Paper›PMID 41217804›Full record

Trial reportJournal of medical Internet research2025

Mobile Intervention for Increasing COVID-19 Testing in K-12 Schools Serving Disadvantaged Communities: Randomized Controlled Trial of SCALE-UP Counts.

Yelena P Wu, Jonathan J Chipman, Leighann Kolp, Tammy K Stump, Tatyana V Kuzmenko, Guilherme Del Fiol, Benjamin Haaland, Kimberly A Kaphingst, Roger Brooks, Adam L Hersh and 7 more

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05112900 (SCALE-UP Counts), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

NCT05112900 phase3completednot on this map

SCALE-UP Counts: A Health Information Technology Approach to Increasing COVID-19 Testing in Elementary and Middle Schools Serving Disadvantaged Communities

TypeinterventionalSponsorUniversity of UtahRan2022 to 2024Enrolled7,122ConditionsCOVID-19ArmsText Messaging (TM), Text Messaging + Health Navigation (TM+HN)
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Yelena P WuDepartment of Dermatology, School of Medicine, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-1571-6154
Jonathan J ChipmanHuntsman Cancer Institute, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-3021-2376
Leighann KolpHuntsman Cancer Institute, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-9464-5728
Tammy K StumpDepartment of Dermatology, School of Medicine, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-5045-1796
Tatyana V KuzmenkoDepartment of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0009-0003-8209-2577
Guilherme Del FiolDepartment of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0001-9954-6799
Benjamin HaalandHuntsman Cancer Institute, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0001-7263-0800
Kimberly A KaphingstHuntsman Cancer Institute, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0003-2668-9080
Roger BrooksGranite School District, South Salt Lake City, UT, United States.ORCID https://orcid.org/0009-0002-2901-891X
Adam L HershDepartment of Pediatrics, School of Medicine, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-0148-046X
Hannah L BradyHuntsman Cancer Institute, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-9320-383X
Kelly J LundbergDepartment of Psychiatry, School of Medicine, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-1032-5680
Neng WanSchool of Environment, Society, and Sustainability, College of Social and Behavioral Science, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0001-8214-9164
Courtney CarrollDepartment of Dermatology, School of Medicine, University of Utah, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0003-4906-549X
Brian OrleansHuntsman Cancer Institute, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0001-9312-0674
Jennifer WirthHuntsman Cancer Institute, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0001-6661-0774
David W WetterHuntsman Cancer Institute, Salt Lake City, UT, United States.ORCID https://orcid.org/0000-0002-4013-1932

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
Research and Methods CoreU54CA280812 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI CHELSEY SCHLECHTER · 2023 to 2026
$9.3M
Scalable Clinical Decision Support for Individualized Cancer Risk ManagementU24CA204800 · NCI · UNIVERSITY OF UTAH · PI DEL FIOL, GUILHERME, KAWAMOTO, KENSAKU · 2017 to 2021
$3.7M
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
SCALE UP Utah II: Community-Academic Partnership to Address COVID-19 Testing and Vaccination Among Utah Community Health CentersU01MD017421 · NIMHD · UNIVERSITY OF UTAH · PI DEL FIOL, GUILHERME, WETTER, DAVID W · 2022 to 2023
$2.3M
NCATS NIH HHS UL1 TR002538NCI NIH HHS P30 CA042014NCI NIH HHS U24 CA204800NCI NIH HHS U54 CA280812NICHD NIH HHS OT2 HD108097NIMHD NIH HHS U01 MD017421
6 · The paper itself

Abstract

backgroundA key challenge for schools throughout the COVID-19 pandemic was finding ways to monitor and prevent COVID-19 cases. While diagnostic testing and connecting students and their families to appropriate resources to mitigate the spread of COVID-19 were recommended, few schools had scalable infrastructure, including information technology systems, to implement these types of measures.

objectiveThis study tested a new approach to COVID-19 testing (SCALE-UP Counts) in school settings that used automated bidirectional text messages provided to the school community that alerted parents of students to COVID-19 testing options and guidance on when to test.

methodsThe SCALE-UP Counts trial was designed as a Sequential Multiple Assignment Randomized Trial and final analyses compared results from parents who received intensive, fully automated, bidirectional text messaging about COVID-19 testing or usual care (control; fully automated unidirectional text messaging about COVID-19 testing), unblinded interventions. From the 16 selected schools, we enrolled all eligible participants who did not opt out of the study. The study provided schools from both arms of the trial with free at-home COVID-19 test kits. The primary outcome was the proportion of parents whose households tested for COVID-19, and the secondary outcome was the number of missed school days. The study asked parents to respond to self-report measures on testing outcomes and missed school days through web-based questionnaires.

resultsThe study included 7122 parents of students from 16 schools, half of which were title 1 schools; 2588 were randomized to usual care or control and 4534 to bidirectional text messaging. The SCALE-UP Counts intervention led to increased self-reported testing when compared with the control condition (22.8% vs 13.5%, relative testing rate=1.64, 95% CI 1.31-2.02; P<.001). There was no observed difference in missed school days between the study arms (0.43 per month vs 0.28 in usual care, relative missed days rate=1.55, 95% CI 0.98-2.45; P=.06).

conclusionsSCALE-UP Counts worked closely with schools and the state's public health system to implement and test a scalable health information technology approach that delivered automated text messages to students' parents around COVID-19 testing and provided access to free at-home test kits. Such an approach can help facilitate COVID-19 testing among school communities, including those that provide education and resources to students and their families from racial or ethnic minorities and with low socioeconomic status. Similar health information technology approaches could be used to increase ease of access to testing, reduce testing burden, and provide tailored information on health measures in school communities for a variety of illnesses or public health concerns.

trial registrationClinicalTrials.gov NCT05112900; http://clinicaltrials.gov/ct2/show/NCT05112900.

Indexed as

COVID-19COVID-19 TestingSchoolsText MessagingAdolescentChildFemaleHumansMalePandemicsParentsSARS-CoV-2Vulnerable Populationscommunicable disease controlCOVID-19 testingmHealthpreventive health servicespublic healthschool health servicestext messaging

Identifiers

PMID41217804
PMCPMC12648121

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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.