# Confronting the public health challenge of inaccessible COVID-19 home tests: insights from the RADx® Tech Accessibility Initiative

**Authors:** Emily B. Kennedy, Kimberly Noble, Kevin Leite, Maren Downing, Samuel Dolphin, Mia Cirrincione, Brian Walsh

PMC · DOI: 10.3389/fpubh.2025.1586514 · Frontiers in Public Health · 2025-06-23

## TL;DR

This paper discusses how the RADx® Tech Accessibility Initiative improved access to COVID-19 home tests for people with disabilities and aging-related impairments.

## Contribution

The initiative developed an expert resource pool and a framework for future accessibility initiatives in diagnostic product design.

## Key findings

- There was a significant gap in resources for accessible product development in diagnostic testing.
- The initiative successfully documented best practices for designing accessible home tests.
- A validated framework was created to guide future accessibility efforts in diagnostics.

## Abstract

COVID-19 home tests first distributed by the U.S. Government in early 2022 proved inaccessible to Americans with no vision, low vision, limited dexterity, and certain aging-related impairments. The National Institute of Biomedical Imaging and Bioengineering (NIBIB) leveraged a multimillion-dollar investment to address this challenge via the Rapid Acceleration of Diagnostics (RADx®) Tech Accessibility Initiative. What follows is a case study report on the March 2022–June 2023 implementation of this initiative, which was later expanded into a larger-scale program called RADx Tech III (September 2022–present). The initiative unveiled a substantial gap in resources guiding accessible product development and applied crisis response funding to bridge this gap. Beyond the primary goal of improving accessibility of COVID-19 home tests, the initiative was successful in developing an expert resource pool, documenting best practices for design of accessible home tests, and generating/validating a framework for future accessibility initiatives.

## Linked entities

- **Diseases:** COVID-19 (MONDO:0100096)

## Full-text entities

- **Diseases:** COVID-19 (MESH:D000086382), low vision (MESH:D015354)

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12235081/full.md

## References

26 references — full list in the complete paper: https://tomesphere.com/paper/PMC12235081/full.md

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Source: https://tomesphere.com/paper/PMC12235081