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Mobile Intervention for Increasing COVID-19 Testing in K-12 Schools Serving Disadvantaged Communities: Randomized
Yelena P Wu1,2, Jonathan J Chipman2,3, Leighann Kolp2
1Department of Dermatology, School of Medicine, University of Utah, Salt Lake City, UT, United States.
Journal of Medical Internet Research
|November 11, 2025
Summary
Automated text messages significantly increased COVID-19 testing rates in schools. The SCALE-UP Counts intervention improved access to testing for students and families, particularly in underserved communities.
Area of Science:
- Public Health
- Health Informatics
- Epidemiology
Background:
- Schools faced challenges monitoring and preventing COVID-19 cases during the pandemic.
- Limited scalable infrastructure, including IT systems, hindered widespread diagnostic testing and resource connection for students and families.
- Few schools could implement effective COVID-19 mitigation strategies due to infrastructure gaps.
Purpose of the Study:
- To test a novel health information technology approach, SCALE-UP Counts, for COVID-19 testing in school settings.
- To evaluate the effectiveness of automated, bidirectional text messages in alerting parents to testing options and guidance.
- To assess the impact of this intervention on testing rates and missed school days.
Main Methods:
- A Sequential Multiple Assignment Randomized Trial (SMART) design was employed.
- Parents received either intensive, automated, bidirectional text messaging or usual care (unidirectional text messaging).
- Free at-home COVID-19 test kits were provided; primary outcomes were testing proportion and missed school days, measured via self-report questionnaires.
Main Results:
- The SCALE-UP Counts intervention significantly increased self-reported COVID-19 testing compared to the control group (22.8% vs. 13.5%).
- The intervention demonstrated a 64% relative increase in testing rates (RR=1.64, 95% CI 1.31-2.02; P<.001).
- No significant difference in missed school days was observed between the intervention and control arms (P=.06).
Conclusions:
- The SCALE-UP Counts intervention successfully utilized a scalable health information technology approach to facilitate COVID-19 testing in school communities.
- This method proved effective in providing automated testing information and access to free test kits, benefiting diverse student populations.
- Similar health IT strategies can enhance testing access, reduce burden, and deliver tailored health information for various public health concerns in schools.
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