Abstract
Home testing is an emerging innovation that can enable nations and health care systems to safely and efficiently test large numbers of patients to manage COVID-19 and other viral outbreaks. In this position paper, we explore the process of moving home testing across the translational continuum from labs to households, and ultimately into practice and communities for optimal public health impact. We focus on the four translational science drivers to accelerate the implementation of systems-wide home testing programmes 1) collaboration and team science, 2) technology, 3) multilevel interventions, and 4) knowledge integration. We use the Socio Ecological Model (SEM) as a framework to illustrate our vision for the ideal future state of a comprehensive system of stakeholders utilising tech-enabled home testing for COVID-19 and other virus outbreaks, and we suggest SEM as a tool to address key translational readiness and response questions.
Original language | English (US) |
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Pages (from-to) | 298-317 |
Number of pages | 20 |
Journal | Health Systems |
Volume | 10 |
Issue number | 4 |
DOIs | |
State | Published - 2021 |
Keywords
- COVID-19
- Socio ecological model
- diagnostic testing
- home testing
- pandemic
- translational epidemiology
- translational science
ASJC Scopus subject areas
- Information Systems
- Health Policy
- Health Informatics
- Human-Computer Interaction
- Management Science and Operations Research