Evidence map›Paper›PMID 34462668›Full record

ArticleJournal of clinical and translational science2021

Centralized registry for COVID-19 research recruitment: Design, development, implementation, and preliminary results.

Anna Peeler, Hailey Miller, Oluwabunmi Ogungbe, Cassia Lewis Land, Liz Martinez, Monica Guerrero Vazquez, Scott Carey, Sumati Murli, Megan Singleton, Cyd Lacanienta and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical and translational science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  4. From Dialogue to Action: Community Recommendations for Inclusive Research Participation Among Underrepresented Populations.Health expectations : an international journal of public participation in health care and health policy · 2025
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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

13 authors at 1 institution in 1 country.

Anna PeelerJohns Hopkins University School of Nursing, Baltimore, MD, USA.ORCID https://orcid.org/0000-0003-4113-9714
Hailey MillerJohns Hopkins University Institute for Clinical and Translational Research, Baltimore, MD, USA.
Oluwabunmi OgungbeJohns Hopkins University School of Nursing, Baltimore, MD, USA.
Cassia Lewis LandJohns Hopkins University Institute for Clinical and Translational Research, Baltimore, MD, USA.
Liz MartinezJohns Hopkins University Institute for Clinical and Translational Research, Baltimore, MD, USA.
Monica Guerrero VazquezJohns Hopkins School of Medicine, Baltimore, MD, USA.
Scott CareyJohns Hopkins University Institute for Clinical and Translational Research, Baltimore, MD, USA.
Sumati MurliJohns Hopkins University Institute for Clinical and Translational Research, Baltimore, MD, USA.
Megan SingletonJohns Hopkins University Institute for Clinical and Translational Research, Baltimore, MD, USA.
Cyd LacanientaJohns Hopkins University Institute for Clinical and Translational Research, Baltimore, MD, USA.
Kelly GleasonJohns Hopkins University School of Nursing, Baltimore, MD, USA.
Daniel FordJohns Hopkins University Institute for Clinical and Translational Research, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-2549-2289
Cheryl R HimmelfarbJohns Hopkins University School of Nursing, Baltimore, MD, USA.
Johns Hopkins University · US

Funding

QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
NRSA Training CoreTL1TR003100 · NCATS · JOHNS HOPKINS UNIVERSITY · PI SAHA, SOMNATH · 2019 to 2023
$4.5M
NCATS NIH HHS TL1 TR003100NCATS NIH HHS UL1 TR003098
6 · The paper itself

Abstract

backgroundThe Coronavirus Disease 2019 (COVID-19) pandemic has had substantial global morbidity and mortality. Clinical research related to prevention, diagnosis, and treatment of COVID-19 is a top priority. Effective and efficient recruitment is challenging even without added constraints of a global pandemic. Recruitment registries offer a potential solution to slow or difficult recruitment.

objectivesThe purpose of this paper is to describe the design and implementation of a digital research recruitment registry to optimize awareness and participant enrollment for COVID-19-related research in Baltimore and to report preliminary results.

methodsPlanning began in March 2020, and the registry launched in July 2020. The primary recruitment mechanisms include electronic medical record data, postcards distributed at testing sites, and digital advertising campaigns. Following consent in a Research Electronic Data Capture survey, participants answer questions related to COVID-19 exposure, testing, and willingness to participate in research. Branching logic presents participants with studies they might be eligible for.

resultsAs of March 24, 2021, 9010 participants have enrolled, and 64.2% are female, 80.6% are White, 9.4% are Black or African American, and 6% are Hispanic or Latino. Phone outreach has had the highest response rate (13.1%), followed by email (11.9%), text (11.4%), and patient portal message (9.4%). Eleven study teams have utilized the registry, and 4596 matches have been made between study teams and interested volunteers.

conclusionEffective and efficient recruitment strategies are more important now than ever due to the time-limited nature of COVID-19 research. Pilot efforts have been successful in connecting interested participants with recruiting study teams.

Indexed as

clinical trialscommunity engagementCOVID-19recruitmentregistry

Identifiers

PMID34462668
PMCPMC8387691
OpenAlexW3186657998

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.