Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Examining How a Text Message-based Educational Intervention Influences COVID-19 Testing

The University of Texas Health Science Center, Houston · 2023
ClinicalTrials.gov · Datasets · License: Public Domain · 2023
Open Source ↗
covid-19decision-makingnavulnerable-populations
In this Phase III study, the investigators will build off of the Phase II embedded study with some adjustments to the design to address new research priorities that examine an intervention that is network informed and delivered through community health worker interactions plus digitally-delivered intervention content with the goal of increasing COVID-19 testing and vaccination. This model, if proven effective, can be scaled up to address COVID-19 and other future pandemics. The investigators will utilize the sample of intervention priority census block groups (PBGs) used in Phase II and will recruit and enroll participants not previously enrolled in either phase I or II from these PBGs using convenience sampling methods. The investigators will use a historical control group consisting of participants from our control arm in Phase II who completed both their baseline and follow-up surveys embedded in the study.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 837561
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive