Evidence map›Paper›PMID 34606989›Full record

Trial reportContemporary clinical trials2021

The COVID-19 Self-Testing through Rapid Network Distribution (C-STRAND) trial: A randomized controlled trial to increase COVID-19 testing in underserved populations.

Cedric H Bien-Gund, Jesal Shah, Joshua I Ho, Alisa Stephens-Shields, Kathleen Shea, Jessica Fishman, Harsha Thirumurthy, Trisha Acri, Karen Dugosh, Robert Gross

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Contemporary clinical trials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 31% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
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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

10 authors at 2 institutions in 1 country.

Cedric H Bien-GundDivision of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, USA. Electronic address: cedric.bien-gund@pennmedicine.upenn.edu.
Jesal ShahDepartment of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA.
Joshua I HoDepartment of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA.
Alisa Stephens-ShieldsDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA.
Kathleen SheaPublic Health Management Corporation, Philadelphia, USA.
Jessica FishmanDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA.
Harsha ThirumurthyDivision of Health Policy, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA.
Trisha AcriCourage Medicine Health Center, Philadelphia, USA.
Karen DugoshPublic Health Management Corporation, Philadelphia, USA.
Robert GrossDivision of Infectious Diseases, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, USA; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA.
University of Pennsylvania · USPublic Health Management Corporation · US

Funding

Infectious Diseases Epidemiology Training GrantT32AI055435 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI LAUTENBACH, EBBING · 2003 to 2023
$6.9M
Determinants and Outcomes of Nicotine Metabolite Ratio in HIV + SmokersR01HL151292 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI ASHARE, REBECCA, GROSS, ROBERT · 2020 to 2022
$3.4M
NHLBI NIH HHS R01 HL151292NIAID NIH HHS T32 AI055435
6 · The paper itself

Abstract

Background Widely available population testing is critical to public health efforts to control the ongoing COVID-19 pandemic. However, COVID-19 testing has been low in underserved communities disproportionately affected by COVID-19. One approach to increase testing rates is through the secondary distribution of self-collection kits, where an individual distributes test kits to contacts in their social network and encourages them to self-collect test specimens. We outline a randomized clinical trial, COVID-19 Self-testing Through Rapid Network Distribution (C-STRAND), and a cohort study of individuals with COVID-19, to determine the impact of a secondary distribution strategy on COVID-19 testing among medically underserved populations. Methods The clinical trial will seek to enroll 1048 adult index participants from federally health qualified centers in Philadelphia, PA seeking COVID-19 testing. Eligible participants will be randomized 1:1 to receive multiple self-collection test kits or multiple referrals for standard clinic-based tests to distribute to contacts within their social network. The primary outcome will be testing among at least two network contacts at 8 weeks. Index participants and network contacts who test positive for COVID-19 from C-STRAND will be eligible to join the COVID-19 Close Contact Self-testing Study (CloseST), assessing the secondary distribution of self-collection test kits among individuals with COVID-19. The primary outcome of this cohort will be the number of close contacts who test positive at 8 weeks. Conclusion Novel strategies to promote COVID-19 testing are necessary, particularly among underserved populations most affected by COVID-19. We will determine the efficacy of a self-testing secondary distribution strategy. The results may inform efforts to increase testing rates during the current pandemic.

Indexed as

COVID-19PandemicsAdultCohort StudiesCOVID-19 TestingHumansMedically Underserved AreaSARS-CoV-2Self-TestingVulnerable PopulationsClinical trialsCOVID-19Self-testingSocial networksTesting

Identifiers

PMID34606989
PMCPMC8486581
OpenAlexW3204753421

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.